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-<title>ARM Compute Library: Data Fields - Functions</title>
+<title>Compute Library: Data Fields - Functions</title>
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- <div id="projectname">ARM Compute Library
-  <span id="projectnumber">17.03.1</span>
+ <div id="projectname">Compute Library
+  <span id="projectnumber">18.05</span>
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<li><a href="index.xhtml"><span>Main Page</span></a></li>
+ <li><a href="pages.xhtml"><span>Related Pages</span></a></li>
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<li class="current"><a href="annotated.xhtml"><span>Data Structures</span></a></li>
<li><a href="files.xhtml"><span>Files</span></a></li>
<li><a href="functions.xhtml"><span>All</span></a></li>
<li class="current"><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><a href="functions_func_g.xhtml#index_g"><span>g</span></a></li>
<li><a href="functions_func_h.xhtml#index_h"><span>h</span></a></li>
<li><a href="functions_func_i.xhtml#index_i"><span>i</span></a></li>
+ <li><a href="functions_func_j.xhtml#index_j"><span>j</span></a></li>
<li><a href="functions_func_k.xhtml#index_k"><span>k</span></a></li>
<li><a href="functions_func_l.xhtml#index_l"><span>l</span></a></li>
<li><a href="functions_func_m.xhtml#index_m"><span>m</span></a></li>
 
<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
+<li>RandomAccessor()
+: <a class="el" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#a47e2e3f731e842dde7baaf69634a9530">RandomAccessor</a>
+</li>
<li>range()
: <a class="el" href="classarm__compute_1_1_i_distribution1_d.xhtml#ac548d0ee88978d0ba481323aab25e46a">IDistribution1D</a>
</li>
+<li>RangeDataset()
+: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset.xhtml#a8c87c8a244d6842642bdbcf8873b1e06">RangeDataset< T ></a>
+</li>
+<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_data()
+: <a class="el" href="structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml#a0623ef2a13ff9b6728dff006ae6cbc47">Measurement</a>
+</li>
+<li>RawLutAccessor()
+: <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#ad5f076c202d054557fde207a7e3b3b41">RawTensor</a>
+</li>
+<li>recurrent_to_input_weights()
+: <a class="el" href="classarm__compute_1_1_l_s_t_m_params.xhtml#ab09e516de7730aa737e2905630dfc644">LSTMParams< T ></a>
+</li>
+<li>region()
+: <a class="el" href="classarm__compute_1_1_c_l_memory.xhtml#a09a88c8dfa3028d099bec0cc4987c6e0">CLMemory</a>
+, <a class="el" href="classarm__compute_1_1_memory.xhtml#a74a4b0c3ccc98a7c6b330ac26de2c7e5">Memory</a>
+</li>
+<li>register_group()
+: <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="classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml#a155015b9a1c2f991a2089c6e78425d1a">InstrumentsStats</a>
+, <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>
+<li>release()
+: <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< TensorType ></a>
+, <a class="el" href="classarm__compute_1_1_offset_memory_pool.xhtml#af47c67ca8d1961b09543879bb734e8be">OffsetMemoryPool</a>
+</li>
+<li>release_if_unused()
+: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214">CLSubTensorHandle</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214">CLTensorHandle</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214">GCTensorHandle</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_sub_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214">NESubTensorHandle</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_n_e_tensor_handle.xhtml#ab02ec2036cf0299acc02f35ef56c2214">NETensorHandle</a>
+, <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#abbc6c72c0ecfa294674f11e9e63a7779">ITensorHandle</a>
+</li>
+<li>relu()
+: <a class="el" href="structarm__compute_1_1detail_1_1relu.xhtml#afa289c53544950f1d702ac963124a5c8">relu< T, S ></a>
+</li>
+<li>remove_connection()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a4c8c62ae543a38ec4aac8f1a167fbb51">Graph</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>remove_node()
+: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a09f8d22de4cd2a2881730ad58096c7c1">Graph</a>
+</li>
+<li>requested_target()
+: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#adddbd97837525a4714e28c955b3d98a4">INode</a>
+</li>
+<li>required_padding()
+: <a class="el" href="classarm__compute_1_1test_1_1_padding_calculator.xhtml#a2435ae6ac8638f53c4f315d3f11e84a7">PaddingCalculator</a>
+</li>
+<li>rescale()
+: <a class="el" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml#a80db15090eed5a0bb5e7977eabeae132">fixed_point< T ></a>
+</li>
<li>reset()
-: <a class="el" href="classarm__compute_1_1_iterator.xhtml#a599f5025b7e6b8bfead740a88e56d5bc">Iterator</a>
+: <a class="el" href="classarm__compute_1_1_c_l_min_max_layer_kernel.xhtml#ad39ad962255c717dcd5e53315ae37546">CLMinMaxLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_iterator.xhtml#a599f5025b7e6b8bfead740a88e56d5bc">Iterator</a>
, <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#ad20897c5c8bd47f5d4005989bead0e55">NEMinMaxKernel</a>
+, <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_info()
+: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#a3d9df22cc94288637e7b8c59c425818a">GEMMInfo</a>
+</li>
+<li>ReshapeLayer()
+: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml#aa3c4c9fd2bc62c95238f22172e8c10f1">ReshapeLayer</a>
+</li>
+<li>ReshapeLayerNode()
+: <a class="el" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml#ad73495f25d71224729f8b237a6a3f9f4">ReshapeLayerNode</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>
+, <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#a0cafaca7cb86d89b5f20f987448c341c">CLArrayAccessor< T ></a>
+, <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#aa3243d314953e018ebcaf98128068110">IArrayAccessor< T ></a>
+</li>
+<li>reverse_iterable()
+: <a class="el" href="classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml#a5053b946ca74887955fc65054f6df4e8">reverse_iterable< T ></a>
+</li>
+<li>ROIPoolingLayerInfo()
+: <a class="el" href="classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml#aeb18f7aaaa12486cd2cf6499c19059db">ROIPoolingLayerInfo</a>
</li>
<li>round()
: <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml#a3d7de69b5d597f77362f3279c6ec1c44">PadStrideInfo</a>
</li>
+<li>rounding_policy()
+: <a class="el" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml#ac3e40923663c50e346b1321a20af5a51">EltwiseLayerNode</a>
+</li>
<li>run()
-: <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLAbsoluteDifferenceKernel</a>
+: <a class="el" href="classarm__compute_1_1_assembly_kernel_glue.xhtml#a13a43e6d814de94978c515cb084873b1">AssemblyKernelGlue< TypeInput, TypeOutput ></a>
+, <a class="el" href="classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLAbsoluteDifferenceKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_activation_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLActivationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLArithmeticAdditionKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLArithmeticSubtractionKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLBatchNormalizationLayer</a>
+, <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBatchNormalizationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_bitwise_and_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBitwiseAndKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_bitwise_or_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBitwiseOrKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_bitwise_xor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLBitwiseXorKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_canny_edge.xhtml#a108972ffc2f5536ceee15428b2b130ad">CLCannyEdge</a>
, <a class="el" href="classarm__compute_1_1_c_l_channel_combine_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLChannelCombineKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_channel_extract_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLChannelExtractKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_channel_shuffle_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLChannelShuffleLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_col2_im_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLCol2ImKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_color_convert_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLColorConvertKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLConvertFullyConnectedWeightsKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLConvolutionLayer</a>
-, <a class="el" href="classarm__compute_1_1_c_l_convolution_layer_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLConvolutionLayerWeightsReshapeKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">CLConvolutionLayerReshapeWeights</a>
, <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_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLCopyKernel</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_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDeconvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1_c_l_deconvolution_layer_upsample.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDeconvolutionLayerUpsample</a>
+, <a class="el" href="classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDeconvolutionLayerUpsampleKernel</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_n_c_h_w_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseConvolutionLayer3x3NCHWKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseConvolutionLayer3x3NHWCKernel</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>
+, <a class="el" href="classarm__compute_1_1_c_l_depthwise_weights_reshape_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDepthwiseWeightsReshapeKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_dequantization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDequantizationLayer</a>
+, <a class="el" href="classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDequantizationLayerKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_derivative_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDerivativeKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLDirectConvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDirectConvolutionLayerKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLDirectConvolutionLayerOutputStageKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLEdgeNonMaxSuppressionKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_edge_trace_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLEdgeTraceKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_equalize_histogram.xhtml#ad1717410afd0be936c6213a63c8005fb">CLEqualizeHistogram</a>
, <a class="el" href="classarm__compute_1_1_c_l_fast_corners.xhtml#ad1717410afd0be936c6213a63c8005fb">CLFastCorners</a>
, <a class="el" href="classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLFastCornersKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLFillBorderKernel</a>
+, <a class="el" href="classarm__compute_1_1_c_l_floor_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">CLFloorKernel</a>
, <a class="el" href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">CLFullyConnectedLayer</a>
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, <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NESoftmaxLayer</a>
-, <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">NETableLookupKernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">NEThresholdKernel</a>
-, <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">NETransposeKernel</a>
+, <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NETableLookupKernel</a>
+, <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_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">NEWinogradConvolutionLayer</a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerBatchedGEMMKernel< TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>
+, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></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_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>
+</li>
+<li>run_all()
+: <a class="el" href="classarm__compute_1_1graph_1_1_pass_manager.xhtml#a8ff5886e2e39da2a4db7029e8dc143e2">PassManager</a>
</li>
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- <li class="footer">Generated on Fri Mar 24 2017 17:23:51 for ARM Compute Library by
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<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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