arm_compute v18.08
diff --git a/documentation/functions_g.xhtml b/documentation/functions_g.xhtml
index a090e75..0e5eb51 100644
--- a/documentation/functions_g.xhtml
+++ b/documentation/functions_g.xhtml
@@ -40,7 +40,7 @@
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
-  <span id="projectnumber">18.05</span>
+  <span id="projectnumber">18.08</span>
</div>
</td>
</tr>
@@ -240,7 +240,7 @@
: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a89039aa338bf8ec2b224dee5013d7fd9">GCGEMMMatrixAdditionKernel</a>
</li>
<li>GCGEMMMatrixMultiplyKernel()
-: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#ad8d2a97f9d5033932caaddcde107e9ce">GCGEMMMatrixMultiplyKernel</a>
+: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a590fefc3367a5db2e77e5bf9e310b0a7">GCGEMMMatrixMultiplyKernel</a>
</li>
<li>GCIm2ColKernel()
: <a class="el" href="classarm__compute_1_1_g_c_im2_col_kernel.xhtml#aa9f940db93f2843ff4694e64177e9b49">GCIm2ColKernel</a>
@@ -320,22 +320,22 @@
, <a class="el" href="classarm__compute_1_1graph_1_1_task_executor.xhtml#aec0e857c194f504758eeacd10b65f210">TaskExecutor</a>
, <a class="el" href="classarm__compute_1_1logging_1_1_logger_registry.xhtml#a56eefda612262945a6f832d1196ee720">LoggerRegistry</a>
, <a class="el" href="classarm__compute_1_1_o_m_p_scheduler.xhtml#a9571a5288c1b52189b63f9e1074768e3">OMPScheduler</a>
-, <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#ac66bff5206364de49b3159e9cc9d3e58">PixelValue</a>
+, <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#a2abd12bde55e3887e34e030e8352e06d">PixelValue</a>
, <a class="el" href="classarm__compute_1_1_scheduler.xhtml#acb4f87f1831680d8d1b70e1bef06bb81">Scheduler</a>
, <a class="el" href="classarm__compute_1_1_single_thread_scheduler.xhtml#ad2239fa50e4adfc02e94407d0b846077">SingleThreadScheduler</a>
, <a class="el" href="classarm__compute_1_1strong__type_1_1_strong_type.xhtml#a73f799e2233b063893121b058004f575">StrongType< T, Tag, Attributes ></a>
-, <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a11f5f1baaad31d1067564eccf599e90c">AssetsLibrary</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af8fbb8b386d3cce307a89002bcdbcfc9">Framework</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_file_image_feeder.xhtml#a7c390fc2fcfbbd7af032f03d0750d494">FileImageFeeder</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_i_image_data_feeder.xhtml#ae18857a90dabdfda0bf26ee448f46652">IImageDataFeeder</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#a7c390fc2fcfbbd7af032f03d0750d494">MemoryImageFeeder</a>
+</li>
+<li>get_backend()
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a83ba5515af28873a9ed86a36ac29516a">BackendRegistry</a>
</li>
<li>get_built_programs()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a06fff433db9536097242dd9ab2188007">CLKernelLibrary</a>
</li>
-<li>get_classifications()
-: <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">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#a1466ef70729f3c8b5da5ebfec3f53f26">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#a1466ef70729f3c8b5da5ebfec3f53f26">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#a1466ef70729f3c8b5da5ebfec3f53f26">MobileNetV1Network< TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction ></a>
-</li>
<li>get_convolution_method()
: <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml#ad6b4f6f831d314f58a3be6593326273d">CLConvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#a0c916a941e4452e28e2cd6411a246962">NEConvolutionLayer</a>
@@ -343,6 +343,12 @@
<li>get_cpu_model()
: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#a6a92d9020af0ada82f7437e7a1425224">CPUInfo</a>
</li>
+<li>get_cpu_num()
+: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#ab7c005d471e707fc203103a54ab1fb7a">CPUInfo</a>
+</li>
+<li>get_device()
+: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a06733f65cb098d0ba67b028b1cb94b03">CLKernelLibrary</a>
+</li>
<li>get_device_version()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aef78b2e57b5203f8a184465e2da020ef">CLKernelLibrary</a>
</li>
@@ -353,8 +359,8 @@
: <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#acc474b96886b5fd500460c7b25dc84fa">AssetsLibrary</a>
</li>
<li>get_input_storage_size()
-: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#a8002726bde2404f3594fd6f1febc5eed">INEWinogradLayerTransformInputKernel< T ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ac500ccdb4a6ced688aa2d8ad4952d215">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#a1187b798595c88feeb65d15441a4f72f">INEWinogradLayerTransformInputKernel< T ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a44ffbab5d0fe4ae10cbf84ddae1a90fe">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>get_kernel_path()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#ad7395c158d8e31b9af211b9bc1f65a08">CLKernelLibrary</a>
@@ -376,29 +382,13 @@
<li>get_max_workgroup_size()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#abca336f832d730e8494049bd714df60a">ICLKernel</a>
</li>
-<li>get_number_blocks()
-: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#aa93a680bbd1f25e2e15d85ecebb5a573">INEWinogradLayerBatchedGEMMKernel< TIn, TOut ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a114bf30301fae775d99637797b17389d">NEWinogradLayerBatchedGEMMKernel< TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
-</li>
-<li>get_number_gemms()
-: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a48fc5c45b359d608e068703cd61fa916">INEWinogradLayerBatchedGEMMKernel< TIn, TOut ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a30cc0c6310d217086f60f2c03bea912e">NEWinogradLayerBatchedGEMMKernel< TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
-</li>
<li>get_output_shape()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a10f4ee28637f13bfbfa0ec1f13972ac1">INEWinogradLayerTransformOutputKernel< T ></a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#acb7b954c56d087e3d2451f92e62eea60">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>get_output_storage_size()
-: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#af9c23bac52a4d03b1500cfd081cba624">INEWinogradLayerTransformOutputKernel< T ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#acbbdf018ab122fbd13fd655fa678dee3">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
-</li>
-<li>get_output_tile_cols()
-: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#af3fd02b2fb7dbbd5cc2ee0002db6ede6">INEWinogradLayerBatchedGEMMKernel< TIn, TOut ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a6a6b377891a582d87327706496a0a822">NEWinogradLayerBatchedGEMMKernel< TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
-</li>
-<li>get_output_tile_rows()
-: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a1c05f8339d00138dccd2127f0505220c">INEWinogradLayerBatchedGEMMKernel< TIn, TOut ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#ae960c2433b8f9a63a5bc1ea61e20f705">NEWinogradLayerBatchedGEMMKernel< TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a638d7da59618abe59378576a0ef76929">INEWinogradLayerTransformOutputKernel< T ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ab62748ccdc2d0696bca7e8cddbbb33af">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>get_profiler()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a0e42876589150f9ae9ad78d6446ef3b6">Framework</a>
@@ -409,11 +399,19 @@
<li>get_program_source()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a44e90c4fa1204a708499ece56d4c82f0">CLKernelLibrary</a>
</li>
+<li>get_ptr()
+: <a class="el" href="classarm__compute_1_1_tensor_accessor.xhtml#ae044b33d7cb2efd7163860bac560c6d5">TensorAccessor< T ></a>
+</li>
<li>get_pyramid_level()
: <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#af07bb423a5c0df8018b67c0e94fada02">CLPyramid</a>
, <a class="el" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">IPyramid</a>
, <a class="el" href="classarm__compute_1_1_pyramid.xhtml#a4187fb90f552249901da9febb67d8b7a">Pyramid</a>
</li>
+<li>get_row()
+: <a class="el" href="classarm__compute_1_1utils_1_1_file_image_feeder.xhtml#aa3dfd581be9d71ccba4e1b03ecc0d684">FileImageFeeder</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_i_image_data_feeder.xhtml#a352ac249fbff257dddef6eb8792cd648">IImageDataFeeder</a>
+, <a class="el" href="classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml#aa3dfd581be9d71ccba4e1b03ecc0d684">MemoryImageFeeder</a>
+</li>
<li>get_target()
: <a class="el" href="classarm__compute_1_1_g_c_scheduler.xhtml#a646cd535a16835b246c3367a63d96250">GCScheduler</a>
, <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a646cd535a16835b246c3367a63d96250">ICLKernel</a>
@@ -426,8 +424,8 @@
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#accfba41ff73f99ee744f8619f47bf413">PMU</a>
</li>
<li>get_weight_storage_size()
-: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#ad670ceec7efb9583d3ab5ae0700bf028">INEWinogradLayerTransformWeightsKernel< T ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#abfe717774e572988b63fdd5a69364eb9">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#ac87d8039da10e7380bcaf59169eb4558">INEWinogradLayerTransformWeightsKernel< T ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a87a7d4fe23da86c3682b79300d23f248">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>GLBufferWrapper()
: <a class="el" href="classarm__compute_1_1_g_l_buffer_wrapper.xhtml#afc8addd4fdd0f2192f5cdbfa4bd2901e">GLBufferWrapper</a>
@@ -442,20 +440,22 @@
: <a class="el" href="structarm__compute_1_1graph_1_1_execution_workload.xhtml#a2360aba01fa93c8493ba96683c4fb89c">ExecutionWorkload</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#a2f9edb3a23ff98069aaa52590d53bf5f">IStream</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a51dadcfc4a2bbd3ffa4c595c1cca6fd8">Stream</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml#a3babb9fefb3dff73886ad6985c2fb5ab">SubStream</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml#a51dadcfc4a2bbd3ffa4c595c1cca6fd8">SubStream</a>
</li>
<li>Graph()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a274f7443d93573083a86839782b5093c">Graph</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#afab89afd724f1b07b1aaad6bdc61c47a">INode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a9ec832327fd0a641f93af7cea4df3018">Graph</a>
</li>
<li>graph()
-: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aff1c67aacd9b499aa083c6ef0b72d0eb">INode</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5332828f81f0c3bc766b90656c9ee631">INode</a>
+</li>
+<li>Graph
+: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#afab89afd724f1b07b1aaad6bdc61c47a">INode</a>
</li>
<li>GraphContext()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml#a75608104021b41a6c999e4d076f24905">GraphContext</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml#aaaa0e858a95cbd8faa9faf0119911e63">GraphContext</a>
</li>
<li>GraphManager()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph_manager.xhtml#aa742e720f48c2a00c3c1d7cd2e13285c">GraphManager</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_manager.xhtml#a4e7362b1e7b02f52aa94e150993fc3f8">GraphManager</a>
</li>
<li>gws_from_window()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4b4a20e518c04e657839280cd486a85d">ICLKernel</a>
@@ -466,7 +466,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Wed May 23 2018 11:36:46 for Compute Library by
+ <li class="footer">Generated on Wed Aug 29 2018 15:31:58 for Compute Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
</ul>