arm_compute v19.11
diff --git a/documentation/functions_g.xhtml b/documentation/functions_g.xhtml
index b96b41f..e18189f 100644
--- a/documentation/functions_g.xhtml
+++ b/documentation/functions_g.xhtml
@@ -40,7 +40,7 @@
<img alt="Compute Library" src="https://raw.githubusercontent.com/ARM-software/ComputeLibrary/gh-pages/ACL_logo.png" style="max-width: 100%;margin-top: 15px;margin-left: 10px"/>
<td style="padding-left: 0.5em;">
<div id="projectname">
-  <span id="projectnumber">19.08</span>
+  <span id="projectnumber">19.11</span>
</div>
</td>
</tr>
@@ -115,11 +115,14 @@
<li>GCAccessor()
: <a class="el" href="classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a0a7dfb15b71cdc94cabe34ed2db78427">GCAccessor</a>
</li>
+<li>GCActivationLayer()
+: <a class="el" href="classarm__compute_1_1_g_c_activation_layer.xhtml#aff5ed9f0d5b42f6714595a4cb44b51b1">GCActivationLayer</a>
+</li>
<li>GCActivationLayerKernel()
-: <a class="el" href="classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a678f75dfd5cfe14614f8072ebe1cc67d">GCActivationLayerKernel</a>
+: <a class="el" href="classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#aba37d1d891d61ad845e34039dc07e16d">GCActivationLayerKernel</a>
</li>
<li>GCArithmeticAdditionKernel()
-: <a class="el" href="classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a81e1897d5085e10f764043acee19077c">GCArithmeticAdditionKernel</a>
+: <a class="el" href="classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a3e5d5909a0c86adff50e9a527272afa6">GCArithmeticAdditionKernel</a>
</li>
<li>GCBatchNormalizationLayer()
: <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ae46038d0e47ec316681667900c15517c">GCBatchNormalizationLayer</a>
@@ -140,11 +143,14 @@
: <a class="el" href="classarm__compute_1_1_g_c_concatenate_layer.xhtml#a0beea0ac14589e05f8d97d21dd93bfa0">GCConcatenateLayer</a>
</li>
<li>GCConvolutionLayer()
-: <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#a3f5eb5b7c01f8912b75ed6703327546d">GCConvolutionLayer</a>
+: <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#a3509ee3d42daede26e171278011a99bd">GCConvolutionLayer</a>
</li>
<li>GCConvolutionLayerReshapeWeights()
: <a class="el" href="classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#ab2cb1decf7fb2217d6f7b85c1c6b60a0">GCConvolutionLayerReshapeWeights</a>
</li>
+<li>GCCoreRuntimeContext()
+: <a class="el" href="classarm__compute_1_1_g_c_core_runtime_context.xhtml#ab7ebe60a96756baff19c511b69e112cf">GCCoreRuntimeContext</a>
+</li>
<li>GCDepthConcatenateLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a7fc9a4cd38bc7e934e279ed52163fc0e">GCDepthConcatenateLayerKernel</a>
</li>
@@ -173,7 +179,7 @@
: <a class="el" href="classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a12fb6b653fe5096135017420a02e79b0">GCFillBorderKernel</a>
</li>
<li>GCFullyConnectedLayer()
-: <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ac0ce422247b7eae1a1931b9717c86ba5">GCFullyConnectedLayer</a>
+: <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a9a413ba9ad1a976d6241f24069650ae6">GCFullyConnectedLayer</a>
</li>
<li>GCGEMM()
: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m.xhtml#a0594de1f88abc329c5cc8df318cca6c4">GCGEMM</a>
@@ -185,7 +191,7 @@
: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a99ca62606534f58262f790a7979966d8">GCGEMMMatrixAccumulateBiasesKernel</a>
</li>
<li>GCGEMMMatrixAdditionKernel()
-: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a437fda1284692898a7f76a00834f0e2c">GCGEMMMatrixAdditionKernel</a>
+: <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>
@@ -197,7 +203,7 @@
: <a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml#a4e7b1870ca694b9b2b6c4a0f50e1de3c">GCKernel</a>
</li>
<li>GCKernelLibrary()
-: <a class="el" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a86bdc674d5c99b1ed9e11ff56567467e">GCKernelLibrary</a>
+: <a class="el" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a180442a389960babb1fca97ef99df0d4">GCKernelLibrary</a>
</li>
<li>GCLogits1DNormKernel()
: <a class="el" href="classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#af02d2bca58bf34705212474be461512b">GCLogits1DNormKernel</a>
@@ -232,17 +238,23 @@
<li>GCProgram()
: <a class="el" href="classarm__compute_1_1_g_c_program.xhtml#aca45a2e24e9ad0a4ebaf2964589a6934">GCProgram</a>
</li>
+<li>GCRuntimeContext()
+: <a class="el" href="classarm__compute_1_1_g_c_runtime_context.xhtml#a00667e42699a16d25c68aa48e6112676">GCRuntimeContext</a>
+</li>
+<li>GCScheduler()
+: <a class="el" href="classarm__compute_1_1_g_c_scheduler.xhtml#a9af3c44162fc357b39278c4c52090163">GCScheduler</a>
+</li>
<li>GCSoftmaxLayer()
: <a class="el" href="classarm__compute_1_1_g_c_softmax_layer.xhtml#a4c3d471a20099610ef1d617dbaf4b2d6">GCSoftmaxLayer</a>
</li>
<li>GCTensor()
-: <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#a4f2f38059311cf163fde21d2414048ee">GCTensor</a>
+: <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#a93806fce8ea03359d37ec010a07216ef">GCTensor</a>
</li>
<li>GCTensorAllocator()
-: <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#aee6bdd0d3cf57c6f2790de67c10dee8f">GCTensorAllocator</a>
+: <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a4f6c603c82bfab864d2cb8942374217e">GCTensorAllocator</a>
</li>
<li>GCTensorHandle()
-: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a137d77ac8b95bbf53389dab5be4377d0">GCTensorHandle</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#aa2ccef9eecca1a7c23732ac31e7a238c">GCTensorHandle</a>
</li>
<li>GCTensorShiftKernel()
: <a class="el" href="classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#ab622a0c2dba7d8b8059bc5049f48f5ff">GCTensorShiftKernel</a>
@@ -271,6 +283,9 @@
<li>gemmlowp_multiplier
: <a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#a2aa2f2611c2827e8e44bc6d5c153fbe3">GEMMLowpOutputStageInfo</a>
</li>
+<li>gemmlowp_multipliers
+: <a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#ae5bd6bebbc0c7ebd9e7dbfd47d939c2a">GEMMLowpOutputStageInfo</a>
+</li>
<li>gemmlowp_offset
: <a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#ae5bbe76a801cb3001c3ea60bd9fb71d8">GEMMLowpOutputStageInfo</a>
</li>
@@ -280,6 +295,9 @@
<li>gemmlowp_shift
: <a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#ab5b217eb04673634f9fcd97238f2db77">GEMMLowpOutputStageInfo</a>
</li>
+<li>gemmlowp_shifts
+: <a class="el" href="structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml#ab269b182588a158cd256f9d4bb2a00dd">GEMMLowpOutputStageInfo</a>
+</li>
<li>GemmNative()
: <a class="el" href="classarm__gemm_1_1_gemm_native.xhtml#a0cb6cb7fbb8f763ccf8410b01c57d762">GemmNative< strategy, To, Tr ></a>
</li>
@@ -287,7 +305,7 @@
: <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#aee6f5a043173c4d51c11a54db8e0f519">GEMMReshapeInfo</a>
</li>
<li>GemvBatched()
-: <a class="el" href="classarm__gemm_1_1_gemv_batched.xhtml#ab4a4a43810baddb96b202dfc569765a3">GemvBatched< To, Tr ></a>
+: <a class="el" href="classarm__gemm_1_1_gemv_batched.xhtml#ab9f7518d1e8564ebecf3c71320211d45">GemvBatched< To, Tr ></a>
</li>
<li>GemvNativeTransposed()
: <a class="el" href="classarm__gemm_1_1_gemv_native_transposed.xhtml#a59c738596a028d0ec26a9eaabf4d4d75">GemvNativeTransposed< strategy, To, Tr ></a>
@@ -311,14 +329,12 @@
, <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#a29866c2e410a715d736ec447b986df78">CPPScheduler</a>
, <a class="el" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a677e1b4dae70aaa7a18e9a8f1a4692e8">GCKernelLibrary</a>
, <a class="el" href="classarm__compute_1_1_g_c_scheduler.xhtml#a9c5f715748222ab9607cc52134b36b0b">GCScheduler</a>
-, <a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml#a40a46217cd83c9fb540e1fed00973f5d">NDRange</a>
+, <a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml#a7f58ff2ada353eeba9aef78b696faa0d">NDRange</a>
, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a1f3feffc5bf8a42636b0e5d4f5160041">BackendRegistry</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_task_executor.xhtml#a8814816f2d2940dbbc2817277eff42db">TaskExecutor</a>
, <a class="el" href="classarm__compute_1_1logging_1_1_logger_registry.xhtml#a438bb9166f6212a2343174d324449802">LoggerRegistry</a>
-, <a class="el" href="classarm__compute_1_1_o_m_p_scheduler.xhtml#ae2c66b86cdc38931af9c49a58e03d692">OMPScheduler</a>
-, <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#a2fc59f298e3c9452086f525479458400">PixelValue</a>
+, <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#afe5b3274209fa0f482c22a244de2773d">PixelValue</a>
, <a class="el" href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">Scheduler</a>
-, <a class="el" href="classarm__compute_1_1_single_thread_scheduler.xhtml#adde335aa5c5b2fc7e07c1d2dc940bf8f">SingleThreadScheduler</a>
, <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#aa6db5c08c0540fb3c0b8292861342a73">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>
@@ -338,8 +354,17 @@
<li>get_backend()
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a0e2e9eb7cf2545949ea4130d768bea93">BackendRegistry</a>
</li>
+<li>get_best_gemm_configs()
+: <a class="el" href="class_gemm_tuner_1_1_g_e_m_m_benchmark_result_recorder.xhtml#a84ff0c9fbd56a0f9308d138de4f99354">GEMMBenchmarkResultRecorder</a>
+</li>
+<li>get_best_gemm_configs_as_sequence()
+: <a class="el" href="class_gemm_tuner_1_1_g_e_m_m_benchmark_result_recorder.xhtml#a8c938fde12c1d2d34553c608c776ba77">GEMMBenchmarkResultRecorder</a>
+</li>
<li>get_built_programs()
-: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a9ac02c2c58f604b7848a2fb1141c1e32">CLKernelLibrary</a>
+: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a54bb195c770b747d87af7506c2032aa4">CLKernelLibrary</a>
+</li>
+<li>get_config_distributions()
+: <a class="el" href="class_gemm_tuner_1_1_g_e_m_m_benchmark_result_recorder.xhtml#a0ea49ac2ac7d7a33761dc5905cab3711">GEMMBenchmarkResultRecorder</a>
</li>
<li>get_convolution_method()
: <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml#a52d5a4b1c55ce0198a793d5ebe5eb714">CLConvolutionLayer</a>
@@ -351,11 +376,14 @@
<li>get_cpu_num()
: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#a3828c0e892d45f2b4af6dc5d34c377b7">CPUInfo</a>
</li>
+<li>get_ctx()
+: <a class="el" href="classarm__compute_1_1test_1_1_parameters_library.xhtml#a174664112e2787ac8b395dd505576086">ParametersLibrary</a>
+</li>
<li>get_deconvolution_method()
: <a class="el" href="classarm__compute_1_1_c_l_deconvolution_layer.xhtml#a92f69f1a180852f00c3273cbab5199ac">CLDeconvolutionLayer</a>
</li>
<li>get_device()
-: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a06733f65cb098d0ba67b028b1cb94b03">CLKernelLibrary</a>
+: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a895fb7685c4864aa98b63ddb60f929bb">CLKernelLibrary</a>
</li>
<li>get_device_version()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aef78b2e57b5203f8a184465e2da020ef">CLKernelLibrary</a>
@@ -383,12 +411,12 @@
: <a class="el" href="classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_factory.xhtml#a76867f1522f705f751d39e3641d4e716">CLLWSListFactory</a>
</li>
<li>get_matrix_stride()
-: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#ae25b6ed77179808984b17c39e078ad96">INEWinogradLayerTransformInputKernel< T ></a>
-, <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#ae25b6ed77179808984b17c39e078ad96">INEWinogradLayerTransformOutputKernel< T ></a>
-, <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a0769fae1b815e5e48086ad25c1528dec">INEWinogradLayerTransformWeightsKernel< T ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ae18e3efe8200578009c1f7a15a4a2fa0">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ae18e3efe8200578009c1f7a15a4a2fa0">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
-, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a07a976f4d6b4b62e2ffcea8b0dab6d9f">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#aab3f5d8ea8dc80c21438141511b8a92d">INEWinogradLayerTransformInputKernel< T ></a>
+, <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a5bba341bb5c7d74c52feca8dd3623d57">INEWinogradLayerTransformOutputKernel< T ></a>
+, <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a39b9c8f1cc005dd0acf05f59f656f56b">INEWinogradLayerTransformWeightsKernel< T ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#afe18d39e03270a72ce408e8b9fd6d013">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#afb7a854c198da809aaef67b142afccd4">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a23e55164ea7e9df47f6eeb0feaaf876f">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>get_max_workgroup_size()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#abca336f832d730e8494049bd714df60a">ICLKernel</a>
@@ -397,12 +425,12 @@
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a70696e3d56dcbcdc1f493dec744bc581">CLKernelLibrary</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>
+: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a271212ff2ba6d321e945452c722ae75b">INEWinogradLayerTransformOutputKernel< T ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a68395f12828f1fd9c19dda038c68e1bd">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#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>
+: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a2795ccfd548a0a3f8f680e2c2a878e33">INEWinogradLayerTransformOutputKernel< T ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ae6c636cb9a0e2fb1cb68224b7b588ec5">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
<li>get_policy()
: <a class="el" href="classarm__compute_1_1_m_e_m_info.xhtml#aacc842e7ef6389e970d92af1d62793a7">MEMInfo</a>
@@ -424,6 +452,9 @@
, <a class="el" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">IPyramid</a>
, <a class="el" href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">Pyramid</a>
</li>
+<li>get_record()
+: <a class="el" href="class_gemm_tuner_1_1_g_e_m_m_benchmark_result_recorder.xhtml#a64d43ff72eaa8e6ba4fe9831c6294af4">GEMMBenchmarkResultRecorder</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>
@@ -456,6 +487,16 @@
: <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>get_weights()
+: <a class="el" href="classarm__compute_1_1_i_transform_weights.xhtml#abbb145f6ce09dfdcff05acb800b76da0">ITransformWeights</a>
+, <a class="el" href="classarm__compute_1_1weights__transformations_1_1_c_l_convert_fully_connected_weights_managed.xhtml#a72297d6c4e315c6bfcdb499eda5c9a63">CLConvertFullyConnectedWeightsManaged</a>
+, <a class="el" href="classarm__compute_1_1weights__transformations_1_1_c_l_convolution_layer_reshape_weights_transform.xhtml#a72297d6c4e315c6bfcdb499eda5c9a63">CLConvolutionLayerReshapeWeightsTransform</a>
+, <a class="el" href="classarm__compute_1_1weights__transformations_1_1_c_l_fully_connected_layer_reshape_weights_managed.xhtml#a72297d6c4e315c6bfcdb499eda5c9a63">CLFullyConnectedLayerReshapeWeightsManaged</a>
+, <a class="el" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#a72297d6c4e315c6bfcdb499eda5c9a63">CLGEMMReshapeRHSMatrixKernelManaged</a>
+, <a class="el" href="classarm__compute_1_1weights__transformations_1_1_n_e_convert_fully_connected_weights_managed.xhtml#a514b2a72ac8b3be00a9be8f018054050">NEConvertFullyConnectedWeightsManaged</a>
+, <a class="el" href="classarm__compute_1_1weights__transformations_1_1_n_e_convolution_layer_reshape_weights_transform.xhtml#a514b2a72ac8b3be00a9be8f018054050">NEConvolutionLayerReshapeWeightsTransform</a>
+, <a class="el" href="classarm__compute_1_1weights__transformations_1_1_n_e_fully_connected_layer_reshape_weights_managed.xhtml#a514b2a72ac8b3be00a9be8f018054050">NEFullyConnectedLayerReshapeWeightsManaged</a>
+</li>
<li>get_window_size()
: <a class="el" href="classarm__gemm_1_1_gemm_hybrid.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2">GemmHybrid< strategy, To, Tr ></a>
, <a class="el" href="classarm__gemm_1_1_gemm_hybrid_quantized.xhtml#a9fe814165d032363ea4f9cfdd36dd5e2">GemmHybridQuantized< strategy, To, Tr ></a>
@@ -478,6 +519,10 @@
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a8ccc8c221f26d7e2ed0b5cfbe4dc1b83">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a8ccc8c221f26d7e2ed0b5cfbe4dc1b83">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
</li>
+<li>gpu_scheduler()
+: <a class="el" href="classarm__compute_1_1_c_l_runtime_context.xhtml#aca669157282266de0605044219e0d2b6">CLRuntimeContext</a>
+, <a class="el" href="classarm__compute_1_1_g_c_runtime_context.xhtml#a5d4c1244a1ccc9705dd6c16e371ac1d8">GCRuntimeContext</a>
+</li>
<li>gpu_target
: <a class="el" href="structarm__compute_1_1_c_l_device_options.xhtml#aadf3b16e351860b4ba10a540a621b392">CLDeviceOptions</a>
</li>
@@ -486,12 +531,12 @@
</li>
<li>graph
: <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#ab9d564f9d6113ecafc98200face036b8">IStream</a>
-, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#ab79f893c9414bcaa96a66b614a400b05">Stream</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#a7e4fdf6dbe73cb6da5cc36976cff9fa7">Stream</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml#ab79f893c9414bcaa96a66b614a400b05">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_graph.xhtml#a0c40af42cad207665228815f0359bbd3">Graph</a>
</li>
<li>graph()
: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aa508c46863ea4bb2d54407e43bd062c1">INode</a>
@@ -499,11 +544,20 @@
<li>Graph
: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#afab89afd724f1b07b1aaad6bdc61c47a">INode</a>
</li>
+<li>graph
+: <a class="el" href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml#a07594d6d567cdd219788762307f60941">GraphValidateExample< LayerT, OptionsT, VerifyAccessorT ></a>
+</li>
<li>GraphContext()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml#a0e6d7bb7b4759f27f898b566aa254550">GraphContext</a>
</li>
+<li>GraphFunctionLayer()
+: <a class="el" href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml#a7b395f46b21240793aa165220d0d1e1c">GraphValidateExample< LayerT, OptionsT, VerifyAccessorT ></a>
+</li>
<li>GraphManager()
-: <a class="el" href="classarm__compute_1_1graph_1_1_graph_manager.xhtml#a4e7362b1e7b02f52aa94e150993fc3f8">GraphManager</a>
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_manager.xhtml#a7cc3d6b903533416f56a1a30660c112e">GraphManager</a>
+</li>
+<li>GraphValidateExample()
+: <a class="el" href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml#a6317f8808712f431f21e4e1f5f97c27d">GraphValidateExample< LayerT, OptionsT, VerifyAccessorT ></a>
</li>
<li>gws_from_window()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c01790e4e3f22f70f69002f0cb1b913">ICLKernel</a>
@@ -514,7 +568,7 @@
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
- <li class="footer">Generated on Mon Sep 2 2019 11:47:42 for Compute Library by
+ <li class="footer">Generated on Thu Nov 28 2019 16:53:21 for Compute Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.15 </li>
</ul>