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-<title>ARM Compute Library: Data Fields</title>
+<title>Compute Library: Data Fields</title>
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- <div id="projectname">ARM Compute Library
-  <span id="projectnumber">17.04</span>
+ <div id="projectname">Compute Library
+  <span id="projectnumber">18.02</span>
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+ <li><a href="pages.xhtml"><span>Related Pages</span></a></li>
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<li><a href="functions_func.xhtml"><span>Functions</span></a></li>
<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_rela.xhtml"><span>Related Functions</span></a></li>
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<li class="current"><a href="functions_g.xhtml#index_g"><span>g</span></a></li>
<li><a href="functions_h.xhtml#index_h"><span>h</span></a></li>
<li><a href="functions_i.xhtml#index_i"><span>i</span></a></li>
+ <li><a href="functions_j.xhtml#index_j"><span>j</span></a></li>
<li><a href="functions_k.xhtml#index_k"><span>k</span></a></li>
<li><a href="functions_l.xhtml#index_l"><span>l</span></a></li>
<li><a href="functions_m.xhtml#index_m"><span>m</span></a></li>
<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_g"></a>- g -</h3><ul>
+<li>gc_buffer()
+: <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#acccf4173f8c67e6f93ea3353c9590c9e">GCTensor</a>
+, <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml#a78046d8dc1b472a13fe70d8862f2edaf">IGCTensor</a>
+</li>
+<li>GCAbsoluteDifferenceKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a21d4ee8182d064fd92ed9b177ff35710">GCAbsoluteDifferenceKernel</a>
+</li>
+<li>GCAccessor()
+: <a class="el" href="classarm__compute_1_1test_1_1_g_c_accessor.xhtml#af7752bed6faa3588f795d65a3bb34f31">GCAccessor</a>
+</li>
+<li>GCActivationLayerKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a678f75dfd5cfe14614f8072ebe1cc67d">GCActivationLayerKernel</a>
+</li>
+<li>GCArithmeticAdditionKernel()
+: <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>
+</li>
+<li>GCBatchNormalizationLayerKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#abbbf878d788fb75b9af735fd238a7553">GCBatchNormalizationLayerKernel</a>
+</li>
+<li>GCCol2ImKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a3e3035668c6d03b9bf68dca65222b7d9">GCCol2ImKernel</a>
+</li>
+<li>GCConvolutionLayer()
+: <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#ae6185d11854eebe4e07a612a6716a472">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>GCDepthConcatenateLayer()
+: <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#a96b1abfc5ee6d10be7e8a525d6846f24">GCDepthConcatenateLayer</a>
+</li>
+<li>GCDepthConcatenateLayerKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a7fc9a4cd38bc7e934e279ed52163fc0e">GCDepthConcatenateLayerKernel</a>
+</li>
+<li>GCDepthwiseConvolutionLayer3x3()
+: <a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#a4bda9e07bd18e83b4ef18d3c7abb0632">GCDepthwiseConvolutionLayer3x3</a>
+</li>
+<li>GCDepthwiseConvolutionLayer3x3Kernel()
+: <a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a5b01f75ce20fddeb91acf0bfb9042ba3">GCDepthwiseConvolutionLayer3x3Kernel</a>
+</li>
+<li>GCDirectConvolutionLayer()
+: <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a457c6a685b2fe36fd12dd640f6155c31">GCDirectConvolutionLayer</a>
+</li>
+<li>GCDirectConvolutionLayerKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#ab55e3264789da35ae1297fefa4efed7c">GCDirectConvolutionLayerKernel< kernel_size ></a>
+</li>
+<li>GCDropoutLayer()
+: <a class="el" href="classarm__compute_1_1_g_c_dropout_layer.xhtml#af6ab54ee8227bfd0abf53bba5bd04ace">GCDropoutLayer</a>
+</li>
+<li>GCDropoutLayerKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#adf240c088ca0ffcbd66a7578bda3d777">GCDropoutLayerKernel</a>
+</li>
+<li>GCFillBorderKernel()
+: <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#a72b2bdf0cae7f6e47b0d5f957de6d304">GCFullyConnectedLayer</a>
+</li>
+<li>GCGEMM()
+: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m.xhtml#a436c89a6209d7de142e7e5eabb9debd1">GCGEMM</a>
+</li>
+<li>GCGEMMInterleave4x4Kernel()
+: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a28bcc9be8f0ebc7b99cfdaa57e0782b2">GCGEMMInterleave4x4Kernel</a>
+</li>
+<li>GCGEMMMatrixAccumulateBiasesKernel()
+: <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#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>
+</li>
+<li>GCIm2ColKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_im2_col_kernel.xhtml#aa9f940db93f2843ff4694e64177e9b49">GCIm2ColKernel</a>
+</li>
+<li>GCKernel()
+: <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>
+</li>
+<li>GCLogits1DNormKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#af02d2bca58bf34705212474be461512b">GCLogits1DNormKernel</a>
+</li>
+<li>GCLogits1DShiftExpSumKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#ae41006842192a2fd2ad98f3887adb06f">GCLogits1DShiftExpSumKernel</a>
+</li>
+<li>GCNormalizationLayer()
+: <a class="el" href="classarm__compute_1_1_g_c_normalization_layer.xhtml#a87b3f416afc5e40915e193d3f724edd5">GCNormalizationLayer</a>
+</li>
+<li>GCNormalizationLayerKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#ae1756c03bc72b902f3becf04a2cb725c">GCNormalizationLayerKernel</a>
+</li>
+<li>GCNormalizePlanarYUVLayer()
+: <a class="el" href="classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#a14de8a41191a089a72c071eda4dd501a">GCNormalizePlanarYUVLayer</a>
+</li>
+<li>GCNormalizePlanarYUVLayerKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#a5767b9b46e4288fce05960d12d7d857c">GCNormalizePlanarYUVLayerKernel</a>
+</li>
+<li>GCPixelWiseMultiplicationKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#adefb2f4872f4d1890ace3aad8d7be409">GCPixelWiseMultiplicationKernel</a>
+</li>
+<li>GCPoolingLayer()
+: <a class="el" href="classarm__compute_1_1_g_c_pooling_layer.xhtml#a4b0897a9e97f3ffd1e202e20cf4404e3">GCPoolingLayer</a>
+</li>
+<li>GCPoolingLayerKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#aebe262e2f3820f872a1393b751a72a27">GCPoolingLayerKernel</a>
+</li>
+<li>GCProgram()
+: <a class="el" href="classarm__compute_1_1_g_c_program.xhtml#aca45a2e24e9ad0a4ebaf2964589a6934">GCProgram</a>
+</li>
+<li>GCSoftmaxLayer()
+: <a class="el" href="classarm__compute_1_1_g_c_softmax_layer.xhtml#a32272e4cdb38d2620ed64fff59fc126e">GCSoftmaxLayer</a>
+</li>
+<li>GCTensor()
+: <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#a4f2f38059311cf163fde21d2414048ee">GCTensor</a>
+</li>
+<li>GCTensorAllocator()
+: <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a4c52d0475ea53645c122adac0ebde9ab">GCTensorAllocator</a>
+</li>
+<li>GCTensorShiftKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#ab622a0c2dba7d8b8059bc5049f48f5ff">GCTensorShiftKernel</a>
+</li>
+<li>GCWeightsReshapeKernel()
+: <a class="el" href="classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a29432f2725083d73e198001a805bb862">GCWeightsReshapeKernel</a>
+</li>
+<li>GEMMInfo()
+: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#ae70403792b9c2d7bdb0c57b5258b2efd">GEMMInfo</a>
+</li>
+<li>GEMMReshapeInfo()
+: <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#aee6f5a043173c4d51c11a54db8e0f519">GEMMReshapeInfo</a>
+</li>
+<li>generate_convolver()
+: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#af77d9d6fcc740068192d3fca9421311f">NEDepthwiseConvolutionLayer3x3Kernel</a>
+</li>
+<li>generate_input_shapes()
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_depth_concatenate_layer_fixture.xhtml#ab37a6ce7abc647cab25610539db7f11a">DepthConcatenateLayerFixture< TensorType, ITensorType, Function, AccessorType ></a>
+</li>
<li>get()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aebe2d25607545d31f2b1ace6d60a81da">CLKernelLibrary</a>
, <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler</a>
+, <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#a98782c8297f3985321c5fa98576327b8">CLSymbols</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#aace2d80849d3f1c113153053728f2922">CPPScheduler</a>
-, <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#a8b08ca140cdafc88aa39ff660a1c477a">PixelValue</a>
+, <a class="el" href="classarm__compute_1_1_g_c_kernel_library.xhtml#abda5f31afe32726ca4dd36d9a480d3f2">GCKernelLibrary</a>
+, <a class="el" href="classarm__compute_1_1_g_c_scheduler.xhtml#ac758c6b5a7ccc31b7193cfde59c32109">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_1graph_1_1_operation_registry.xhtml#a20885c0ad6ee18d2bb0c0177a9b38744">OperationRegistry</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#a1541aac2858109c409fcf5eb4ba7799e">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_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary</a>
+, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af8fbb8b386d3cce307a89002bcdbcfc9">Framework</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#a5a40ceb849aeb8dc1a3e2cc9d5c49813">CLConvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#a80c35437174d22ead97c59257bf05d3e">NEConvolutionLayer</a>
+</li>
+<li>get_gl_ssbo_name()
+: <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#acb35468f30f12a68bf3c3f227d85a1df">GCTensorAllocator</a>
+</li>
+<li>get_image_shape()
+: <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>
+</li>
+<li>get_kernel_path()
+: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#ad7395c158d8e31b9af211b9bc1f65a08">CLKernelLibrary</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>
+</li>
+<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>
+</li>
+<li>get_profiler()
+: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a0e42876589150f9ae9ad78d6446ef3b6">Framework</a>
+</li>
+<li>get_program()
+: <a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml#a0e887398d1ed8b689b857dc6be5aa206">GCKernel</a>
+</li>
+<li>get_program_source()
+: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a44e90c4fa1204a708499ece56d4c82f0">CLKernelLibrary</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_target()
+: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a646cd535a16835b246c3367a63d96250">ICLKernel</a>
+</li>
+<li>get_type()
+: <a class="el" href="classarm__compute_1_1_scheduler.xhtml#ab394515f710c2aac0f132ecc0b9323d9">Scheduler</a>
+</li>
+<li>get_value()
+: <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>
+</li>
+<li>GlobalPoolingShapes()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml#aa2f05979de5779a1ea507dce1b721566">GlobalPoolingShapes</a>
+</li>
+<li>GoogleNetGEMMDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_google_net_g_e_m_m_dataset.xhtml#a6e632f30690cefa56f5bb98e892785bd">GoogleNetGEMMDataset</a>
+</li>
+<li>GoogLeNetInceptionV1ActivationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_activation_layer_dataset.xhtml#a0c629e043d10e93dcaec22168695b385">GoogLeNetInceptionV1ActivationLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV1ConvolutionLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_convolution_layer_dataset.xhtml#a9a3d978819027d2adae9b71b5cd0d2b8">GoogLeNetInceptionV1ConvolutionLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV1DirectConvolutionLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_direct_convolution_layer_dataset.xhtml#aefbe31466b0860964ac8fbd00ca87280">GoogLeNetInceptionV1DirectConvolutionLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV1FullyConnectedLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_fully_connected_layer_dataset.xhtml#a8ad86e3bfaf17b7771fad1b89dd06684">GoogLeNetInceptionV1FullyConnectedLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV1GEMMDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_g_e_m_m_dataset.xhtml#a8672faf8b1099707721daff025765fbc">GoogLeNetInceptionV1GEMMDataset</a>
+</li>
+<li>GoogLeNetInceptionV1NormalizationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_normalization_layer_dataset.xhtml#ad45fbeb5ea23a02052a7e1781f0576bb">GoogLeNetInceptionV1NormalizationLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV1PoolingLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_pooling_layer_dataset.xhtml#a86b04a52c102d48d662ef675d627efd0">GoogLeNetInceptionV1PoolingLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV1WinogradLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_winograd_layer_dataset.xhtml#af7dbcd903dd2742a455edd24e6b5ed4f">GoogLeNetInceptionV1WinogradLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV4ActivationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_activation_layer_dataset.xhtml#a12a57f414e425280743da474b259bd31">GoogLeNetInceptionV4ActivationLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV4BatchNormalizationLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml#a5c56b0d715939df7ca959944960a7555">GoogLeNetInceptionV4BatchNormalizationLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV4ConvolutionLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset.xhtml#a8d29b2e598c645471e9b978e4317d3d9">GoogLeNetInceptionV4ConvolutionLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV4DirectConvolutionLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset.xhtml#a90f7d9e9a8a5c2f6e835731554319481">GoogLeNetInceptionV4DirectConvolutionLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV4FullyConnectedLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_fully_connected_layer_dataset.xhtml#a0e3a7975960a7a9aaf9c17cca2e9a8c0">GoogLeNetInceptionV4FullyConnectedLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_normalize_planar_y_u_v_layer_dataset.xhtml#ac9a8eb242d4bffa411886d9293b205f9">GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV4PoolingLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_pooling_layer_dataset.xhtml#a169de687b2e9235db9af906dd7528bb4">GoogLeNetInceptionV4PoolingLayerDataset</a>
+</li>
+<li>GoogLeNetInceptionV4WinogradLayerDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_winograd_layer_dataset.xhtml#a34dcb79ea64bb0e953d9b8edcb0c286f">GoogLeNetInceptionV4WinogradLayerDataset</a>
+</li>
+<li>gpu_available_memory_size
+: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#aa4017b592302af592aca556e4cb49099">mali_base_gpu_core_props</a>
+</li>
+<li>gpu_freq_khz_max
+: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#a8725d76f659bb6227b77073bd2c61e88">mali_base_gpu_core_props</a>
+</li>
+<li>gpu_freq_khz_min
+: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#a45d871f7e3eed35198b89b61649d56d2">mali_base_gpu_core_props</a>
+</li>
+<li>gpu_id
+: <a class="el" href="structmali__userspace_1_1gpu__raw__gpu__props.xhtml#ab2b81d8aa4523e95e3f6244bca52a556">gpu_raw_gpu_props</a>
+</li>
+<li>gpu_speed_mhz
+: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#acee64366b6aa7e475082c84ca98e6884">mali_base_gpu_core_props</a>
+</li>
+<li>gpu_target()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#ab0094e1bc5c4a6c433c654786c83993c">Graph</a>
+</li>
+<li>GradientDimensions()
+: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_gradient_dimensions.xhtml#a340b012986539040d59dc9cccabf4a61">GradientDimensions</a>
+</li>
+<li>Graph()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#afc5ef9d72cc2c509814200791eaef62c">Graph</a>
+</li>
+<li>graph_init()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a049136304344524f3d13c052c6fe1f7d">Graph</a>
+</li>
+<li>GraphContext()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml#a75608104021b41a6c999e4d076f24905">GraphContext</a>
+</li>
+<li>GraphHints()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph_hints.xhtml#af3c401ceece4cb12095df35411ec78f8">GraphHints</a>
+</li>
+<li>group
+: <a class="el" href="structmali__userspace_1_1mali__base__gpu__coherent__group__info.xhtml#a263b80b4971e2c15ad2d7f9d421b2899">mali_base_gpu_coherent_group_info</a>
+</li>
+<li>gws_from_window()
+: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4b4a20e518c04e657839280cd486a85d">ICLKernel</a>
+</li>
</ul>
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- <li class="footer">Generated on Wed Apr 12 2017 14:26:06 for ARM Compute Library by
+ <li class="footer">Generated on Thu Feb 22 2018 15:45:28 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>
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