arm_compute v17.12
diff --git a/documentation/functions_r.xhtml b/documentation/functions_r.xhtml
index a7d6853..5511166 100644
--- a/documentation/functions_r.xhtml
+++ b/documentation/functions_r.xhtml
@@ -4,7 +4,7 @@
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
-<meta name="generator" content="Doxygen 1.8.6"/>
+<meta name="generator" content="Doxygen 1.8.11"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
<title>Compute Library: Data Fields</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
@@ -12,22 +12,24 @@
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
$(document).ready(initResizable);
$(window).load(resizeHeight);
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<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
- $(document).ready(function() { searchBox.OnSelectItem(0); });
+ $(document).ready(function() { init_search(); });
</script>
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
extensions: ["tex2jax.js"],
jax: ["input/TeX","output/HTML-CSS"],
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-</script><script src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
+</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
@@ -38,7 +40,7 @@
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
-  <span id="projectnumber">17.10</span>
+  <span id="projectnumber">17.12</span>
</div>
</td>
</tr>
@@ -46,7 +48,7 @@
</table>
</div>
<!-- end header part -->
-<!-- Generated by Doxygen 1.8.6 -->
+<!-- Generated by Doxygen 1.8.11 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
@@ -90,7 +92,6 @@
<li><a href="functions_vars.xhtml"><span>Variables</span></a></li>
<li><a href="functions_type.xhtml"><span>Typedefs</span></a></li>
<li><a href="functions_enum.xhtml"><span>Enumerations</span></a></li>
- <li><a href="functions_eval.xhtml"><span>Enumerator</span></a></li>
<li><a href="functions_rela.xhtml"><span>Related Functions</span></a></li>
</ul>
</div>
@@ -123,7 +124,7 @@
<li><a href="functions_x.xhtml#index_x"><span>x</span></a></li>
<li><a href="functions_y.xhtml#index_y"><span>y</span></a></li>
<li><a href="functions_z.xhtml#index_z"><span>z</span></a></li>
- <li><a href="functions_~.xhtml#index_~"><span>~</span></a></li>
+ <li><a href="functions_0x7e.xhtml#index_0x7e"><span>~</span></a></li>
</ul>
</div>
</div><!-- top -->
@@ -146,7 +147,7 @@
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
-<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark"> </span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark"> </span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark"> </span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark"> </span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark"> </span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark"> </span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark"> </span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark"> </span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark"> </span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark"> </span>Friends</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark"> </span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(11)"><span class="SelectionMark"> </span>Pages</a></div>
+</div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
@@ -159,6 +160,9 @@
<div class="textblock">Here is a list of all struct and union fields with links to the structures/unions they belong to:</div>
<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
+<li>Rand()
+: <a class="el" href="class_tensor4_d.xhtml#a79eb348abf0cb824ed3717aadc5d17b5">Tensor4D< ShapeT, T ></a>
+</li>
<li>RandomAccessor()
: <a class="el" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a47e2e3f731e842dde7baaf69634a9530">RandomAccessor</a>
</li>
@@ -174,6 +178,12 @@
<li>raw()
: <a class="el" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml#a3fe723fdc332e453550710b2925002a0">fixed_point< T ></a>
</li>
+<li>raw_
+: <a class="el" href="structarm__compute_1_1logging_1_1_log_msg.xhtml#ab564cdace3a0a660c5a04b5f2c637213">LogMsg</a>
+</li>
+<li>raw_data()
+: <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#a0623ef2a13ff9b6728dff006ae6cbc47">Measurement</a>
+</li>
<li>raw_props
: <a class="el" href="structmali__userspace_1_1mali__base__gpu__props.xhtml#a0f80a090da0ec7cd70cd3821f1470832">mali_base_gpu_props</a>
</li>
@@ -181,7 +191,7 @@
: <a class="el" href="classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#a240f6b5226a09537d27d812498b20318">RawLutAccessor< T ></a>
</li>
<li>RawTensor()
-: <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ac1b3afa1c0a4618768b43a7a0d930cd6">RawTensor</a>
+: <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#ad5f076c202d054557fde207a7e3b3b41">RawTensor</a>
, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a467ad6d14558452f498777a7823fa252">SimpleTensor< T ></a>
</li>
<li>rect
@@ -191,13 +201,16 @@
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_reduction_operations.xhtml#a5e696b945de1f229a7ddadd3ac6c44f4">ReductionOperations</a>
</li>
<li>register_group()
-: <a class="el" href="classarm__compute_1_1_blob_lifetime_manager.xhtml#a93fc2c6a7ebb5d8f44c67d492347d054">BlobLifetimeManager</a>
-, <a class="el" href="classarm__compute_1_1_i_lifetime_manager.xhtml#af9aed2d52d9469aa2a49f8c7ece1f082">ILifetimeManager</a>
+: <a class="el" href="classarm__compute_1_1_i_lifetime_manager.xhtml#af9aed2d52d9469aa2a49f8c7ece1f082">ILifetimeManager</a>
+, <a class="el" href="classarm__compute_1_1_i_simple_lifetime_manager.xhtml#a93fc2c6a7ebb5d8f44c67d492347d054">ISimpleLifetimeManager</a>
</li>
<li>register_pool()
: <a class="el" href="classarm__compute_1_1_i_pool_manager.xhtml#af5ecacf4a9d67777dacc2bf917a52db4">IPoolManager</a>
, <a class="el" href="classarm__compute_1_1_pool_manager.xhtml#a40713b55ad2d6ddb4ccead1f9e535a05">PoolManager</a>
</li>
+<li>relative_standard_deviation()
+: <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml#a9666a65078cee68787a9aad555ad0793">Measurement::Value</a>
+</li>
<li>RelativeTolerance()
: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_relative_tolerance.xhtml#afba8d635945ce2a2787199919de28572">RelativeTolerance< T ></a>
</li>
@@ -205,14 +218,15 @@
: <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#af47c67ca8d1961b09543879bb734e8be">BlobMemoryPool</a>
, <a class="el" href="classarm__compute_1_1_i_memory_group.xhtml#aab0a52fdd148a54108e7bf49287d7c47">IMemoryGroup</a>
, <a class="el" href="classarm__compute_1_1_i_memory_pool.xhtml#ab9d340d42cc3ec933f5da369f1f808bb">IMemoryPool</a>
-, <a class="el" href="classarm__compute_1_1_memory_group_base.xhtml#ad7ed3842c3160ae4b9f51acbf4564438">MemoryGroupBase< typename ></a>
-</li>
-<li>RELU
-: <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo</a>
+, <a class="el" href="classarm__compute_1_1_memory_group_base.xhtml#ad7ed3842c3160ae4b9f51acbf4564438">MemoryGroupBase< TensorType ></a>
+, <a class="el" href="classarm__compute_1_1_offset_memory_pool.xhtml#af47c67ca8d1961b09543879bb734e8be">OffsetMemoryPool</a>
</li>
<li>remove_dimension()
: <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml#acb74edf42335de0dca0da5158b704c4b">TensorShape</a>
</li>
+<li>remove_logger()
+: <a class="el" href="classarm__compute_1_1logging_1_1_logger_registry.xhtml#a04f9779505522e380dde1c613d9cc9e8">LoggerRegistry</a>
+</li>
<li>required_padding()
: <a class="el" href="classarm__compute_1_1test_1_1_padding_calculator.xhtml#a2435ae6ac8638f53c4f315d3f11e84a7">PaddingCalculator</a>
</li>
@@ -226,6 +240,23 @@
, <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ad20897c5c8bd47f5d4005989bead0e55">NEMinMaxLayerKernel</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#ad20897c5c8bd47f5d4005989bead0e55">PMU</a>
</li>
+<li>reset_padding()
+: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#afc135290818a7ae02d2195c013796fdd">ITensorInfo</a>
+, <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#ad29c039b6f3c4534928ed99aa9f53027">SubTensorInfo</a>
+, <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad29c039b6f3c4534928ed99aa9f53027">TensorInfo</a>
+</li>
+<li>reshape_b_only_on_first_run()
+: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#a8809341538b465964b81970388fc9ebc">GEMMInfo</a>
+</li>
+<li>reshape_input()
+: <a class="el" href="classarm__compute_1_1_winograd3x3_f32.xhtml#af6763033b37ded88efd49c438bb186de">Winograd3x3F32</a>
+</li>
+<li>reshape_output()
+: <a class="el" href="classarm__compute_1_1_winograd3x3_f32.xhtml#ae2fc9af73104a80d6c7064bcb1582da1">Winograd3x3F32</a>
+</li>
+<li>ReshapeLayer()
+: <a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer.xhtml#a3db25ecf758583d633d08114b96406d5">ReshapeLayer</a>
+</li>
<li>resize()
: <a class="el" href="classarm__compute_1_1_i_array.xhtml#ae21b0e95ded2dcfb5e62848ea0193828">IArray< T ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#a0cafaca7cb86d89b5f20f987448c341c">ArrayAccessor< T ></a>
@@ -235,6 +266,12 @@
<li>ret
: <a class="el" href="unionmali__userspace_1_1uk__header.xhtml#a4fef07ab304fc672e0407e7598fb1870">uk_header</a>
</li>
+<li>rgb
+: <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#afe42472c55e7e5df52b8aaca94d0fa7e">PixelValue</a>
+</li>
+<li>rgbx
+: <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#ac24a28b797176d8a1e73d27f64c058d2">PixelValue</a>
+</li>
<li>right
: <a class="el" href="structarm__compute_1_1_border_size.xhtml#a78b0fed184c642b78f32fd34b228a5f9">BorderSize</a>
</li>
@@ -267,11 +304,11 @@
, <a class="el" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLConvolutionRectangleKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">CLConvolutionSquare< matrix_size ></a>
, <a class="el" href="classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLCopyToArrayKernel</a>
-, <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDepthConcatenate</a>
-, <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthConcatenateKernel</a>
-, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution3x3.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDepthwiseConvolution3x3</a>
-, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseConvolution3x3Kernel</a>
-, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDepthwiseConvolution</a>
+, <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDepthConcatenateLayer</a>
+, <a class="el" href="classarm__compute_1_1_c_l_depth_concatenate_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthConcatenateLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDepthwiseConvolutionLayer3x3</a>
+, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseConvolutionLayer3x3Kernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDepthwiseConvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseIm2ColKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDepthwiseSeparableConvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseVectorToTensorKernel</a>
@@ -296,8 +333,13 @@
, <a class="el" href="classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGaussianPyramidVertKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb">CLGEMM</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMInterleave4x4Kernel</a>
-, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp.xhtml#ad1717410afd0be936c6213a63c8005fb">CLGEMMLowp</a>
+, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpMatrixAReductionKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpMatrixBReductionKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb">CLGEMMLowpMatrixMultiplyCore</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpMatrixMultiplyKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpOffsetContributionKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMMatrixAccumulateBiasesKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMMatrixAdditionKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLGEMMMatrixMultiplyKernel</a>
@@ -319,8 +361,8 @@
, <a class="el" href="classarm__compute_1_1_c_l_im2_col_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLIm2ColKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_integral_image.xhtml#ad1717410afd0be936c6213a63c8005fb">CLIntegralImage</a>
, <a class="el" href="classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLIntegralImageVertKernel</a>
-, <a class="el" href="classarm__compute_1_1_c_l_l2_normalize.xhtml#ad1717410afd0be936c6213a63c8005fb">CLL2Normalize</a>
-, <a class="el" href="classarm__compute_1_1_c_l_l2_normalize_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLL2NormalizeKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLL2NormalizeLayer</a>
+, <a class="el" href="classarm__compute_1_1_c_l_l2_normalize_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLL2NormalizeLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb">CLLaplacianPyramid</a>
, <a class="el" href="classarm__compute_1_1_c_l_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb">CLLaplacianReconstruct</a>
, <a class="el" href="classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLKTrackerFinalizeKernel</a>
@@ -329,6 +371,7 @@
, <a class="el" href="classarm__compute_1_1_c_l_l_k_tracker_stage1_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLKTrackerStage1Kernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_locally_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLLocallyConnectedLayer</a>
, <a class="el" href="classarm__compute_1_1_c_l_locally_connected_matrix_multiply_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLocallyConnectedMatrixMultiplyKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_logits1_d_max_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLogits1DMaxShiftExpSumKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_logits1_d_norm_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLogits1DNormKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_logits1_d_shift_exp_sum_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLLogits1DShiftExpSumKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLMagnitudePhaseKernel</a>
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, <a class="el" href="classarm__compute_1_1_c_l_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLWeightsReshapeKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">CPPCornerCandidatesKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">CPPDetectionWindowNonMaximaSuppressionKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">CPPPermuteKernel</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">CPPSortEuclideanDistanceKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCAbsoluteDifferenceKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCActivationLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">GCBatchNormalizationLayer</a>
+, <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCBatchNormalizationLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCCol2ImKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">GCDepthConcatenateLayer</a>
+, <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDepthConcatenateLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDirectConvolutionLayerKernel< kernel_size ></a>
+, <a class="el" href="classarm__compute_1_1_g_c_dropout_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">GCDropoutLayer</a>
+, <a class="el" href="classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDropoutLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCFillBorderKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">GCFullyConnectedLayer</a>
+, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb">GCGEMM</a>
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+, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMMatrixAccumulateBiasesKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMMatrixAdditionKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMMatrixMultiplyKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMTranspose1xWKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCIm2ColKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCLogits1DNormKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCLogits1DShiftExpSumKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">GCNormalizationLayer</a>
+, <a class="el" href="classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCNormalizationLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCPixelWiseMultiplicationKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCPoolingLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_g_c_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">GCSoftmaxLayer</a>
+, <a class="el" href="classarm__compute_1_1_g_c_transpose_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCTransposeKernel</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_c_l_map.xhtml#ad1717410afd0be936c6213a63c8005fb">CLMap</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_c_l_unmap.xhtml#ad1717410afd0be936c6213a63c8005fb">CLUnmap</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a13a43e6d814de94978c515cb084873b1">Graph</a>
@@ -371,13 +442,17 @@
, <a class="el" href="classarm__compute_1_1_i_c_l_simple3_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">ICLSimple3DKernel</a>
, <a class="el" href="classarm__compute_1_1_i_c_l_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">ICLSimpleFunction</a>
, <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">ICPPKernel</a>
+, <a class="el" href="classarm__compute_1_1_i_c_p_p_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">ICPPSimpleFunction</a>
, <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>
+, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2">IGCKernel</a>
+, <a class="el" href="classarm__compute_1_1_i_g_c_simple2_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">IGCSimple2DKernel</a>
+, <a class="el" href="classarm__compute_1_1_i_g_c_simple3_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">IGCSimple3DKernel</a>
+, <a class="el" href="classarm__compute_1_1_i_g_c_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">IGCSimpleFunction</a>
, <a class="el" href="classarm__compute_1_1_i_n_e_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">INESimpleFunction</a>
, <a class="el" href="classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">INEWarpKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEAbsoluteDifferenceKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_accumulate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEAccumulateKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEAccumulateSquaredKernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_accumulate_weighted_f_p16_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEAccumulateWeightedFP16Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEAccumulateWeightedKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEActivationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEArithmeticAdditionKernel</a>
@@ -388,7 +463,6 @@
, <a class="el" href="classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBitwiseNotKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBitwiseOrKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBitwiseXorKernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_box3x3_f_p16_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBox3x3FP16Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBox3x3Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_canny_edge.xhtml#ad1717410afd0be936c6213a63c8005fb">NECannyEdge</a>
, <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEChannelCombineKernel</a>
@@ -401,9 +475,19 @@
, <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEConvolutionRectangleKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">NEConvolutionSquare< matrix_size ></a>
, <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NECumulativeDistributionKernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDepthConcatenate</a>
-, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthConcatenateKernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_depth_convert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthConvertKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDeconvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer_upsample.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDeconvolutionLayerUpsample</a>
+, <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer_upsample_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDeconvolutionLayerUpsampleKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDepthConcatenateLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthConcatenateLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthConvertLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDepthwiseConvolutionLayer3x3</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthwiseConvolutionLayer3x3Kernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDepthwiseConvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthwiseIm2ColKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depthwise_separable_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDepthwiseSeparableConvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthwiseVectorToTensorKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthwiseWeightsReshapeKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDequantizationLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDequantizationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_derivative.xhtml#ad1717410afd0be936c6213a63c8005fb">NEDerivative</a>
@@ -437,16 +521,27 @@
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, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_a_arch64_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMAArch64Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMInterleave4x4Kernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp.xhtml#ad1717410afd0be936c6213a63c8005fb">NEGEMMLowp</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleave_blocked_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMInterleaveBlockedKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_a_arch64_a53_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpAArch64A53Kernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_a_arch64_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpAArch64Kernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_a_arch64_v8_p4_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpAArch64V8P4Kernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb">NEGEMMLowpAssemblyMatrixMultiplyCore</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpMatrixAReductionKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpMatrixBReductionKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml#ad1717410afd0be936c6213a63c8005fb">NEGEMMLowpMatrixMultiplyCore</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpMatrixMultiplyKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpOffsetContributionKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMMatrixAccumulateBiasesKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMMatrixAdditionKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMMatrixMultiplyKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMMatrixVectorMultiplyKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMTranspose1xWKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGradientKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_harris_corners.xhtml#ad1717410afd0be936c6213a63c8005fb">NEHarrisCorners</a>
-, <a class="el" href="classarm__compute_1_1_n_e_harris_score_f_p16_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHarrisScoreFP16Kernel< block_size ></a>
, <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHarrisScoreKernel< block_size ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_h_g_e_m_m_a_arch64_f_p16_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHGEMMAArch64FP16Kernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb">NEHistogram</a>
, <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHistogramKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHOGBlockNormalizationKernel</a>
@@ -457,8 +552,8 @@
, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHOGOrientationBinningKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEIm2ColKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEIntegralImageKernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_l2_normalize.xhtml#ad1717410afd0be936c6213a63c8005fb">NEL2Normalize</a>
-, <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEL2NormalizeKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEL2NormalizeLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEL2NormalizeLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_laplacian_pyramid.xhtml#ad1717410afd0be936c6213a63c8005fb">NELaplacianPyramid</a>
, <a class="el" href="classarm__compute_1_1_n_e_laplacian_reconstruct.xhtml#ad1717410afd0be936c6213a63c8005fb">NELaplacianReconstruct</a>
, <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NELKTrackerKernel</a>
@@ -467,7 +562,6 @@
, <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NELogits1DMaxKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_logits1_d_norm_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NELogits1DNormKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_logits1_d_shift_exp_sum_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NELogits1DShiftExpSumKernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_f_p16_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEMagnitudePhaseFP16Kernel< mag_type, phase_type ></a>
, <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEMagnitudePhaseKernel< mag_type, phase_type ></a>
, <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev.xhtml#ad1717410afd0be936c6213a63c8005fb">NEMeanStdDev</a>
, <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEMeanStdDevKernel</a>
@@ -509,22 +603,30 @@
, <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEThresholdKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NETransposeKernel</a>
, <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWeightsReshapeKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEWinogradLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerKernel</a>
, <a class="el" href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">ActivationLayerFixture< TensorType, Function, Accessor ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_alex_net_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">AlexNetFixture< ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">BatchNormalizationLayerFixture< TensorType, Function, Accessor ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_convolution_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">ConvolutionLayerFixture< TensorType, Function, Accessor ></a>
-, <a class="el" href="classarm__compute_1_1test_1_1_depthwise_convolution_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">DepthwiseConvolutionFixture< TensorType, Function, Accessor ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1_depthwise_convolution_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">DepthwiseConvolutionLayerFixture< TensorType, Function, Accessor ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_depthwise_separable_convolution_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">DepthwiseSeparableConvolutionLayerFixture< TensorType, Function, Accessor ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_floor_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">FloorFixture< TensorType, Function, Accessor ></a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a149ad6701e3e2414cb566bb414029841">Framework</a>
, <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">FullyConnectedLayerFixture< TensorType, Function, Accessor ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">GEMMFixture< TensorType, Function, Accessor ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_lowp_matrix_multiply_core_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">GEMMLowpMatrixMultiplyCoreFixture< TensorType, Function, Accessor ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_le_net5_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">LeNet5Fixture< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1_mobile_net_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">MobileNetFixture< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionLayerFunction, ReshapeFunction, PoolingLayerFunction ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1_mobile_net_v1_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">MobileNetV1Fixture< TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction, InputSize ></a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a13a43e6d814de94978c515cb084873b1">AlexNetNetwork< ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_le_net5_network.xhtml#a13a43e6d814de94978c515cb084873b1">LeNet5Network< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_network.xhtml#a13a43e6d814de94978c515cb084873b1">MobileNetNetwork< TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionLayerFunction, ReshapeFunction, PoolingLayerFunction ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml#a13a43e6d814de94978c515cb084873b1">MobileNetV1Network< TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_normalization_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">NormalizationLayerFixture< TensorType, Function, Accessor ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_pooling_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">PoolingLayerFixture< TensorType, Function, Accessor ></a>
, <a class="el" href="classarm__compute_1_1test_1_1_r_o_i_pooling_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">ROIPoolingLayerFixture< TensorType, Function, Accessor, Array_T, ArrayAccessor ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1_softmax_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">SoftmaxLayerFixture< TensorType, Function, Accessor ></a>
</li>
</ul>
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@@ -532,9 +634,9 @@
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- <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li>
+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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