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diff --git a/documentation/search/all_1a.js b/documentation/search/all_1a.js
index 4177472..670a0b6 100644
--- a/documentation/search/all_1a.js
+++ b/documentation/search/all_1a.js
@@ -14,5 +14,6 @@
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+  ['yuyv422_5fto_5frgba8888_5fbt709',['YUYV422_to_RGBA8888_bt709',['../color__convert_8cl.xhtml#ab0be9d15196e78ed50afdbfa93a11662',1,'color_convert.cl']]],
+  ['yuyv_5fto_5frgb_5fcalculation',['yuyv_to_rgb_calculation',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#a2a36a93e164b484404fe908cefd6099a',1,'arm_compute::test::colorconvert_helper::detail']]]
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diff --git a/documentation/search/all_1b.js b/documentation/search/all_1b.js
index 9ea0d11..2a4c8eb 100644
--- a/documentation/search/all_1b.js
+++ b/documentation/search/all_1b.js
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diff --git a/documentation/search/all_1c.js b/documentation/search/all_1c.js
index 89cb89e..b1613b2 100644
--- a/documentation/search/all_1c.js
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TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make("BiasesInfo",{TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(24U), 1, DataType::S32, 0),})), framework::dataset::make("OutputInfo",{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make("ConvInfo",{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0),})), framework::dataset::make("DepthMultiplier",{1, 1, 3, 1, 1, 1, 2, 3,})), framework::dataset::make("Expected",{false, false, false, false, false, false, true, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd3bff121f3d1b361014931aba336060',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make("DataType", DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a712c785a9475eb2bb0a5a24e43d282cc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), framework::dataset::make("Format", Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ad40d7a7f1d18538b265c0aa8a6ea88',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo",{TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32, 0), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32, 0)}), 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GPUTarget::MIDGARD, GPUTarget::BIFROST})), framework::dataset::make("Dilation",{Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U)})), framework::dataset::make("Expected",{ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM})), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8358bc12f3ac1a3d9bc6ba573ada2316',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDilatedConvolutionLayerDataset(), datasets::LargeDilatedConvolutionLayerDataset()), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a00be49808b9902e928f3d8dae10b3528',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, 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index 8257895..4d6b870 100644
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index b37afad..9d91555 100644
--- a/documentation/search/all_e.js
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index 2a12451..b050899 100644
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+  ['nedequantizationlayerkernel',['NEDequantizationLayerKernel',['../classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml',1,'arm_compute']]],
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diff --git a/documentation/search/classes_1.js b/documentation/search/classes_1.js
index b04e004..f062c6b 100644
--- a/documentation/search/classes_1.js
+++ b/documentation/search/classes_1.js
@@ -12,14 +12,9 @@
   ['activationlayer',['ActivationLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_activation_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['activationlayerinfo',['ActivationLayerInfo',['../classarm__compute_1_1_activation_layer_info.xhtml',1,'arm_compute']]],
   ['activationlayernode',['ActivationLayerNode',['../classarm__compute_1_1graph_1_1_activation_layer_node.xhtml',1,'arm_compute::graph']]],
-  ['alexnetnetwork',['AlexNetNetwork',['../classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml',1,'arm_compute::test::networks']]],
   ['allocator',['Allocator',['../classarm__compute_1_1_allocator.xhtml',1,'arm_compute']]],
   ['array',['Array',['../classarm__compute_1_1_array.xhtml',1,'arm_compute']]],
   ['array_3c_20nelkinternalkeypoint_20_3e',['Array< NELKInternalKeypoint >',['../classarm__compute_1_1_array.xhtml',1,'arm_compute']]],
   ['arrayaccessor',['ArrayAccessor',['../classarm__compute_1_1test_1_1_array_accessor.xhtml',1,'arm_compute::test']]],
-  ['assemblykernelglue',['AssemblyKernelGlue',['../classarm__compute_1_1_assembly_kernel_glue.xhtml',1,'arm_compute']]],
-  ['assemblykernelglue_3c_20float_2c_20float_20_3e',['AssemblyKernelGlue< float, float >',['../classarm__compute_1_1_assembly_kernel_glue.xhtml',1,'arm_compute']]],
-  ['assemblykernelglue_3c_20int8_5ft_2c_20int32_5ft_20_3e',['AssemblyKernelGlue< int8_t, int32_t >',['../classarm__compute_1_1_assembly_kernel_glue.xhtml',1,'arm_compute']]],
-  ['assemblykernelglue_3c_20uint8_5ft_2c_20uint32_5ft_20_3e',['AssemblyKernelGlue< uint8_t, uint32_t >',['../classarm__compute_1_1_assembly_kernel_glue.xhtml',1,'arm_compute']]],
   ['assetslibrary',['AssetsLibrary',['../classarm__compute_1_1test_1_1_assets_library.xhtml',1,'arm_compute::test']]]
 ];
diff --git a/documentation/search/classes_10.js b/documentation/search/classes_10.js
index 51859c6..cdbd1c0 100644
--- a/documentation/search/classes_10.js
+++ b/documentation/search/classes_10.js
@@ -3,6 +3,8 @@
   ['paddingcalculator',['PaddingCalculator',['../classarm__compute_1_1test_1_1_padding_calculator.xhtml',1,'arm_compute::test']]],
   ['padstrideinfo',['PadStrideInfo',['../classarm__compute_1_1_pad_stride_info.xhtml',1,'arm_compute']]],
   ['passmanager',['PassManager',['../classarm__compute_1_1graph_1_1_pass_manager.xhtml',1,'arm_compute::graph']]],
+  ['permutelayer',['PermuteLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_permute_layer.xhtml',1,'arm_compute::graph::frontend']]],
+  ['permutelayernode',['PermuteLayerNode',['../classarm__compute_1_1graph_1_1_permute_layer_node.xhtml',1,'arm_compute::graph']]],
   ['pixelvalue',['PixelValue',['../classarm__compute_1_1_pixel_value.xhtml',1,'arm_compute']]],
   ['pmu',['PMU',['../classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml',1,'arm_compute::test::framework']]],
   ['pmucounter',['PMUCounter',['../classarm__compute_1_1test_1_1framework_1_1_p_m_u_counter.xhtml',1,'arm_compute::test::framework']]],
@@ -10,32 +12,22 @@
   ['poolinglayerinfo',['PoolingLayerInfo',['../classarm__compute_1_1_pooling_layer_info.xhtml',1,'arm_compute']]],
   ['poolinglayernode',['PoolingLayerNode',['../classarm__compute_1_1graph_1_1_pooling_layer_node.xhtml',1,'arm_compute::graph']]],
   ['poolmanager',['PoolManager',['../classarm__compute_1_1_pool_manager.xhtml',1,'arm_compute']]],
-  ['ppmaccessor',['PPMAccessor',['../classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml',1,'arm_compute::graph_utils']]],
   ['ppmloader',['PPMLoader',['../classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml',1,'arm_compute::utils']]],
   ['ppmwriter',['PPMWriter',['../classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml',1,'arm_compute::graph_utils']]],
   ['prettyprinter',['PrettyPrinter',['../classarm__compute_1_1test_1_1framework_1_1_pretty_printer.xhtml',1,'arm_compute::test::framework']]],
-  ['printer',['Printer',['../classarm__compute_1_1logging_1_1_printer.xhtml',1,'arm_compute::logging']]],
   ['printer',['Printer',['../classarm__compute_1_1test_1_1framework_1_1_printer.xhtml',1,'arm_compute::test::framework']]],
+  ['printer',['Printer',['../classarm__compute_1_1logging_1_1_printer.xhtml',1,'arm_compute::logging']]],
   ['profiler',['Profiler',['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml',1,'arm_compute::test::framework']]],
   ['program',['Program',['../classarm__compute_1_1_program.xhtml',1,'arm_compute']]],
-  ['promote',['promote',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits_1_1promote.xhtml',1,'arm_compute::test::fixed_point_arithmetic::traits']]],
   ['promote',['promote',['../structarm__compute_1_1test_1_1traits_1_1promote.xhtml',1,'arm_compute::test::traits']]],
-  ['promote_3c_20float_20_3e',['promote< float >',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits_1_1promote_3_01float_01_4.xhtml',1,'arm_compute::test::fixed_point_arithmetic::traits']]],
   ['promote_3c_20float_20_3e',['promote< float >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01float_01_4.xhtml',1,'arm_compute::test::traits']]],
-  ['promote_3c_20half_20_3e',['promote< half >',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits_1_1promote_3_01half_01_4.xhtml',1,'arm_compute::test::fixed_point_arithmetic::traits']]],
   ['promote_3c_20half_20_3e',['promote< half >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01half_01_4.xhtml',1,'arm_compute::test::traits']]],
-  ['promote_3c_20int16_5ft_20_3e',['promote< int16_t >',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits_1_1promote_3_01int16__t_01_4.xhtml',1,'arm_compute::test::fixed_point_arithmetic::traits']]],
   ['promote_3c_20int16_5ft_20_3e',['promote< int16_t >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int16__t_01_4.xhtml',1,'arm_compute::test::traits']]],
   ['promote_3c_20int32_5ft_20_3e',['promote< int32_t >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int32__t_01_4.xhtml',1,'arm_compute::test::traits']]],
-  ['promote_3c_20int32_5ft_20_3e',['promote< int32_t >',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits_1_1promote_3_01int32__t_01_4.xhtml',1,'arm_compute::test::fixed_point_arithmetic::traits']]],
   ['promote_3c_20int8_5ft_20_3e',['promote< int8_t >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int8__t_01_4.xhtml',1,'arm_compute::test::traits']]],
-  ['promote_3c_20int8_5ft_20_3e',['promote< int8_t >',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits_1_1promote_3_01int8__t_01_4.xhtml',1,'arm_compute::test::fixed_point_arithmetic::traits']]],
   ['promote_3c_20uint16_5ft_20_3e',['promote< uint16_t >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint16__t_01_4.xhtml',1,'arm_compute::test::traits']]],
-  ['promote_3c_20uint16_5ft_20_3e',['promote< uint16_t >',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits_1_1promote_3_01uint16__t_01_4.xhtml',1,'arm_compute::test::fixed_point_arithmetic::traits']]],
-  ['promote_3c_20uint32_5ft_20_3e',['promote< uint32_t >',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits_1_1promote_3_01uint32__t_01_4.xhtml',1,'arm_compute::test::fixed_point_arithmetic::traits']]],
   ['promote_3c_20uint32_5ft_20_3e',['promote< uint32_t >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint32__t_01_4.xhtml',1,'arm_compute::test::traits']]],
   ['promote_3c_20uint8_5ft_20_3e',['promote< uint8_t >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint8__t_01_4.xhtml',1,'arm_compute::test::traits']]],
-  ['promote_3c_20uint8_5ft_20_3e',['promote< uint8_t >',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits_1_1promote_3_01uint8__t_01_4.xhtml',1,'arm_compute::test::fixed_point_arithmetic::traits']]],
   ['pyramid',['Pyramid',['../classarm__compute_1_1_pyramid.xhtml',1,'arm_compute']]],
   ['pyramidinfo',['PyramidInfo',['../classarm__compute_1_1_pyramid_info.xhtml',1,'arm_compute']]]
 ];
diff --git a/documentation/search/classes_12.js b/documentation/search/classes_12.js
index b1c7ada..d797094 100644
--- a/documentation/search/classes_12.js
+++ b/documentation/search/classes_12.js
@@ -10,6 +10,8 @@
   ['relu',['relu',['../structarm__compute_1_1detail_1_1relu.xhtml',1,'arm_compute::detail']]],
   ['reshapelayer',['ReshapeLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_reshape_layer.xhtml',1,'arm_compute::graph::frontend']]],
   ['reshapelayernode',['ReshapeLayerNode',['../classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml',1,'arm_compute::graph']]],
+  ['resizelayer',['ResizeLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_resize_layer.xhtml',1,'arm_compute::graph::frontend']]],
+  ['resizelayernode',['ResizeLayerNode',['../classarm__compute_1_1graph_1_1_resize_layer_node.xhtml',1,'arm_compute::graph']]],
   ['reverse_5fiterable',['reverse_iterable',['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml',1,'arm_compute::utils::iterable']]],
   ['roi',['ROI',['../structarm__compute_1_1_r_o_i.xhtml',1,'arm_compute']]],
   ['roipoolinglayerinfo',['ROIPoolingLayerInfo',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml',1,'arm_compute']]]
diff --git a/documentation/search/classes_13.js b/documentation/search/classes_13.js
index 73b0729..ae3198b 100644
--- a/documentation/search/classes_13.js
+++ b/documentation/search/classes_13.js
@@ -6,12 +6,15 @@
   ['semaphore',['Semaphore',['../classarm__compute_1_1_semaphore.xhtml',1,'arm_compute']]],
   ['signalimpl',['SignalImpl',['../classarm__compute_1_1utils_1_1signal_1_1detail_1_1_signal_impl.xhtml',1,'arm_compute::utils::signal::detail']]],
   ['signalimpl_3c_20returntype_28args_2e_2e_2e_29_3e',['SignalImpl< ReturnType(Args...)>',['../classarm__compute_1_1utils_1_1signal_1_1detail_1_1_signal_impl_3_01_return_type_07_args_8_8_8_08_4.xhtml',1,'arm_compute::utils::signal::detail']]],
-  ['simpleoption',['SimpleOption',['../classarm__compute_1_1test_1_1framework_1_1_simple_option.xhtml',1,'arm_compute::test::framework']]],
-  ['simpleoption_3c_20bool_20_3e',['SimpleOption< bool >',['../classarm__compute_1_1test_1_1framework_1_1_simple_option.xhtml',1,'arm_compute::test::framework']]],
-  ['simpleoption_3c_20int_20_3e',['SimpleOption< int >',['../classarm__compute_1_1test_1_1framework_1_1_simple_option.xhtml',1,'arm_compute::test::framework']]],
-  ['simpleoption_3c_20logformat_20_3e',['SimpleOption< LogFormat >',['../classarm__compute_1_1test_1_1framework_1_1_simple_option.xhtml',1,'arm_compute::test::framework']]],
-  ['simpleoption_3c_20loglevel_20_3e',['SimpleOption< LogLevel >',['../classarm__compute_1_1test_1_1framework_1_1_simple_option.xhtml',1,'arm_compute::test::framework']]],
-  ['simpleoption_3c_20std_3a_3astring_20_3e',['SimpleOption< std::string >',['../classarm__compute_1_1test_1_1framework_1_1_simple_option.xhtml',1,'arm_compute::test::framework']]],
+  ['simpleoption',['SimpleOption',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
+  ['simpleoption_3c_20arm_5fcompute_3a_3adatalayout_20_3e',['SimpleOption< arm_compute::DataLayout >',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
+  ['simpleoption_3c_20arm_5fcompute_3a_3adatatype_20_3e',['SimpleOption< arm_compute::DataType >',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
+  ['simpleoption_3c_20arm_5fcompute_3a_3agraph_3a_3atarget_20_3e',['SimpleOption< arm_compute::graph::Target >',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
+  ['simpleoption_3c_20bool_20_3e',['SimpleOption< bool >',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
+  ['simpleoption_3c_20int_20_3e',['SimpleOption< int >',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
+  ['simpleoption_3c_20logformat_20_3e',['SimpleOption< LogFormat >',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
+  ['simpleoption_3c_20loglevel_20_3e',['SimpleOption< LogLevel >',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
+  ['simpleoption_3c_20std_3a_3astring_20_3e',['SimpleOption< std::string >',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
   ['simpletensor',['SimpleTensor',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml',1,'arm_compute::test']]],
   ['simpletensor_3c_20uint8_5ft_20_3e',['SimpleTensor< uint8_t >',['../classarm__compute_1_1test_1_1_simple_tensor.xhtml',1,'arm_compute::test']]],
   ['simpletestcasefactory',['SimpleTestCaseFactory',['../classarm__compute_1_1test_1_1framework_1_1_simple_test_case_factory.xhtml',1,'arm_compute::test::framework']]],
diff --git a/documentation/search/classes_14.js b/documentation/search/classes_14.js
index 01e4b86..87a095a 100644
--- a/documentation/search/classes_14.js
+++ b/documentation/search/classes_14.js
@@ -5,6 +5,7 @@
   ['tensor',['Tensor',['../classarm__compute_1_1_tensor.xhtml',1,'arm_compute']]],
   ['tensor3d',['Tensor3D',['../struct_tensor3_d.xhtml',1,'']]],
   ['tensor4d',['Tensor4D',['../struct_tensor4_d.xhtml',1,'']]],
+  ['tensoraccessor',['TensorAccessor',['../classarm__compute_1_1_tensor_accessor.xhtml',1,'arm_compute']]],
   ['tensorallocator',['TensorAllocator',['../classarm__compute_1_1_tensor_allocator.xhtml',1,'arm_compute']]],
   ['tensorcache',['TensorCache',['../classarm__compute_1_1test_1_1_tensor_cache.xhtml',1,'arm_compute::test']]],
   ['tensordescriptor',['TensorDescriptor',['../structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml',1,'arm_compute::graph']]],
@@ -21,6 +22,7 @@
   ['tfpreproccessor',['TFPreproccessor',['../classarm__compute_1_1graph__utils_1_1_t_f_preproccessor.xhtml',1,'arm_compute::graph_utils']]],
   ['threadiddecorator',['ThreadIdDecorator',['../classarm__compute_1_1logging_1_1_thread_id_decorator.xhtml',1,'arm_compute::logging']]],
   ['threadinfo',['ThreadInfo',['../structarm__compute_1_1_thread_info.xhtml',1,'arm_compute']]],
-  ['toggleoption',['ToggleOption',['../classarm__compute_1_1test_1_1framework_1_1_toggle_option.xhtml',1,'arm_compute::test::framework']]],
-  ['topnpredictionsaccessor',['TopNPredictionsAccessor',['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml',1,'arm_compute::graph_utils']]]
+  ['toggleoption',['ToggleOption',['../classarm__compute_1_1utils_1_1_toggle_option.xhtml',1,'arm_compute::utils']]],
+  ['topnpredictionsaccessor',['TopNPredictionsAccessor',['../classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml',1,'arm_compute::graph_utils']]],
+  ['tunerfactory',['TunerFactory',['../classarm__compute_1_1tuners_1_1_tuner_factory.xhtml',1,'arm_compute::tuners']]]
 ];
diff --git a/documentation/search/classes_15.js b/documentation/search/classes_15.js
index d973013..8e052d2 100644
--- a/documentation/search/classes_15.js
+++ b/documentation/search/classes_15.js
@@ -1,5 +1,7 @@
 var searchData=
 [
+  ['validationinputaccessor',['ValidationInputAccessor',['../classarm__compute_1_1graph__utils_1_1_validation_input_accessor.xhtml',1,'arm_compute::graph_utils']]],
+  ['validationoutputaccessor',['ValidationOutputAccessor',['../classarm__compute_1_1graph__utils_1_1_validation_output_accessor.xhtml',1,'arm_compute::graph_utils']]],
   ['validregion',['ValidRegion',['../structarm__compute_1_1_valid_region.xhtml',1,'arm_compute']]],
   ['value',['Value',['../structarm__compute_1_1test_1_1framework_1_1_measurement_1_1_value.xhtml',1,'arm_compute::test::framework::Measurement']]],
   ['vector',['Vector',['../struct_vector.xhtml',1,'']]],
diff --git a/documentation/search/classes_16.js b/documentation/search/classes_16.js
index e4f3065..d6d1261 100644
--- a/documentation/search/classes_16.js
+++ b/documentation/search/classes_16.js
@@ -3,5 +3,6 @@
   ['wallclocktimer',['WallClockTimer',['../classarm__compute_1_1test_1_1framework_1_1_wall_clock_timer.xhtml',1,'arm_compute::test::framework']]],
   ['weightsinfo',['WeightsInfo',['../classarm__compute_1_1_weights_info.xhtml',1,'arm_compute']]],
   ['window',['Window',['../classarm__compute_1_1_window.xhtml',1,'arm_compute']]],
+  ['windowiterator',['WindowIterator',['../classarm__compute_1_1_window_iterator.xhtml',1,'arm_compute']]],
   ['winogradinfo',['WinogradInfo',['../structarm__compute_1_1_winograd_info.xhtml',1,'arm_compute']]]
 ];
diff --git a/documentation/search/classes_3.js b/documentation/search/classes_3.js
index 66952d3..289ecc2 100644
--- a/documentation/search/classes_3.js
+++ b/documentation/search/classes_3.js
@@ -1,7 +1,10 @@
 var searchData=
 [
   ['caffepreproccessor',['CaffePreproccessor',['../classarm__compute_1_1graph__utils_1_1_caffe_preproccessor.xhtml',1,'arm_compute::graph_utils']]],
+  ['cannyedgeparameters',['CannyEdgeParameters',['../structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml',1,'arm_compute::test::validation']]],
   ['cartesianproductdataset',['CartesianProductDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset.xhtml',1,'arm_compute::test::framework::dataset']]],
+  ['channelshufflelayer',['ChannelShuffleLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_channel_shuffle_layer.xhtml',1,'arm_compute::graph::frontend']]],
+  ['channelshufflelayernode',['ChannelShuffleLayerNode',['../classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml',1,'arm_compute::graph']]],
   ['clabsolutedifference',['CLAbsoluteDifference',['../classarm__compute_1_1_c_l_absolute_difference.xhtml',1,'arm_compute']]],
   ['clabsolutedifferencekernel',['CLAbsoluteDifferenceKernel',['../classarm__compute_1_1_c_l_absolute_difference_kernel.xhtml',1,'arm_compute']]],
   ['claccessor',['CLAccessor',['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml',1,'arm_compute::test']]],
@@ -15,6 +18,8 @@
   ['clactivationlayerkernel',['CLActivationLayerKernel',['../classarm__compute_1_1_c_l_activation_layer_kernel.xhtml',1,'arm_compute']]],
   ['clarithmeticaddition',['CLArithmeticAddition',['../classarm__compute_1_1_c_l_arithmetic_addition.xhtml',1,'arm_compute']]],
   ['clarithmeticadditionkernel',['CLArithmeticAdditionKernel',['../classarm__compute_1_1_c_l_arithmetic_addition_kernel.xhtml',1,'arm_compute']]],
+  ['clarithmeticdivision',['CLArithmeticDivision',['../classarm__compute_1_1_c_l_arithmetic_division.xhtml',1,'arm_compute']]],
+  ['clarithmeticdivisionkernel',['CLArithmeticDivisionKernel',['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml',1,'arm_compute']]],
   ['clarithmeticsubtraction',['CLArithmeticSubtraction',['../classarm__compute_1_1_c_l_arithmetic_subtraction.xhtml',1,'arm_compute']]],
   ['clarithmeticsubtractionkernel',['CLArithmeticSubtractionKernel',['../classarm__compute_1_1_c_l_arithmetic_subtraction_kernel.xhtml',1,'arm_compute']]],
   ['clarray',['CLArray',['../classarm__compute_1_1_c_l_array.xhtml',1,'arm_compute']]],
@@ -46,6 +51,7 @@
   ['clcol2imkernel',['CLCol2ImKernel',['../classarm__compute_1_1_c_l_col2_im_kernel.xhtml',1,'arm_compute']]],
   ['clcolorconvert',['CLColorConvert',['../classarm__compute_1_1_c_l_color_convert.xhtml',1,'arm_compute']]],
   ['clcolorconvertkernel',['CLColorConvertKernel',['../classarm__compute_1_1_c_l_color_convert_kernel.xhtml',1,'arm_compute']]],
+  ['clconcatenatelayer',['CLConcatenateLayer',['../classarm__compute_1_1_c_l_concatenate_layer.xhtml',1,'arm_compute']]],
   ['clconvertfullyconnectedweights',['CLConvertFullyConnectedWeights',['../classarm__compute_1_1_c_l_convert_fully_connected_weights.xhtml',1,'arm_compute']]],
   ['clconvertfullyconnectedweightskernel',['CLConvertFullyConnectedWeightsKernel',['../classarm__compute_1_1_c_l_convert_fully_connected_weights_kernel.xhtml',1,'arm_compute']]],
   ['clconvolution3x3',['CLConvolution3x3',['../classarm__compute_1_1_c_l_convolution3x3.xhtml',1,'arm_compute']]],
@@ -96,6 +102,7 @@
   ['clfillborderkernel',['CLFillBorderKernel',['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml',1,'arm_compute']]],
   ['clfinesvmmemoryregion',['CLFineSVMMemoryRegion',['../classarm__compute_1_1_c_l_fine_s_v_m_memory_region.xhtml',1,'arm_compute']]],
   ['clflattenlayer',['CLFlattenLayer',['../classarm__compute_1_1_c_l_flatten_layer.xhtml',1,'arm_compute']]],
+  ['clflattenlayerkernel',['CLFlattenLayerKernel',['../classarm__compute_1_1_c_l_flatten_layer_kernel.xhtml',1,'arm_compute']]],
   ['clfloor',['CLFloor',['../classarm__compute_1_1_c_l_floor.xhtml',1,'arm_compute']]],
   ['clfloorkernel',['CLFloorKernel',['../classarm__compute_1_1_c_l_floor_kernel.xhtml',1,'arm_compute']]],
   ['clfullyconnectedlayer',['CLFullyConnectedLayer',['../classarm__compute_1_1_c_l_fully_connected_layer.xhtml',1,'arm_compute']]],
@@ -253,9 +260,11 @@
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   ['clwinogradoutputtransformkernel',['CLWinogradOutputTransformKernel',['../classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml',1,'arm_compute']]],
-  ['commandlineparser',['CommandLineParser',['../classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml',1,'arm_compute::test::framework']]],
+  ['commandlineparser',['CommandLineParser',['../classarm__compute_1_1utils_1_1_command_line_parser.xhtml',1,'arm_compute::utils']]],
   ['common_5fpromoted_5fsigned_5ftype',['common_promoted_signed_type',['../structarm__compute_1_1test_1_1common__promoted__signed__type.xhtml',1,'arm_compute::test']]],
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+  ['commongraphoptions',['CommonGraphOptions',['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml',1,'arm_compute::utils']]],
+  ['commongraphparams',['CommonGraphParams',['../structarm__compute_1_1utils_1_1_common_graph_params.xhtml',1,'arm_compute::utils']]],
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+  ['concatenatelayernode',['ConcatenateLayerNode',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml',1,'arm_compute::graph']]],
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diff --git a/documentation/search/classes_4.js b/documentation/search/classes_4.js
index 5157333..a6ff89c 100644
--- a/documentation/search/classes_4.js
+++ b/documentation/search/classes_4.js
@@ -20,8 +20,9 @@
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   ['datedecorator',['DateDecorator',['../classarm__compute_1_1logging_1_1_date_decorator.xhtml',1,'arm_compute::logging']]],
+  ['deconvolutionlayer',['DeconvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_deconvolution_layer.xhtml',1,'arm_compute::graph::frontend']]],
+  ['deconvolutionlayernode',['DeconvolutionLayerNode',['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml',1,'arm_compute::graph']]],
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-  ['dummyaccessor',['DummyAccessor',['../classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml',1,'arm_compute::graph_utils']]]
+  ['dummyaccessor',['DummyAccessor',['../classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml',1,'arm_compute::graph_utils']]],
+  ['dummylayer',['DummyLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_dummy_layer.xhtml',1,'arm_compute::graph::frontend']]],
+  ['dummynode',['DummyNode',['../classarm__compute_1_1graph_1_1_dummy_node.xhtml',1,'arm_compute::graph']]]
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diff --git a/documentation/search/classes_5.js b/documentation/search/classes_5.js
index fc85ea2..168f8ee 100644
--- a/documentation/search/classes_5.js
+++ b/documentation/search/classes_5.js
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+  ['enumlistoption',['EnumListOption',['../classarm__compute_1_1utils_1_1_enum_list_option.xhtml',1,'arm_compute::utils']]],
+  ['enumlistoption_3c_20instrumentsdescription_20_3e',['EnumListOption< InstrumentsDescription >',['../classarm__compute_1_1utils_1_1_enum_list_option.xhtml',1,'arm_compute::utils']]],
+  ['enumoption',['EnumOption',['../classarm__compute_1_1utils_1_1_enum_option.xhtml',1,'arm_compute::utils']]],
+  ['enumoption_3c_20arm_5fcompute_3a_3adatalayout_20_3e',['EnumOption< arm_compute::DataLayout >',['../classarm__compute_1_1utils_1_1_enum_option.xhtml',1,'arm_compute::utils']]],
+  ['enumoption_3c_20arm_5fcompute_3a_3adatatype_20_3e',['EnumOption< arm_compute::DataType >',['../classarm__compute_1_1utils_1_1_enum_option.xhtml',1,'arm_compute::utils']]],
+  ['enumoption_3c_20arm_5fcompute_3a_3agraph_3a_3atarget_20_3e',['EnumOption< arm_compute::graph::Target >',['../classarm__compute_1_1utils_1_1_enum_option.xhtml',1,'arm_compute::utils']]],
+  ['enumoption_3c_20logformat_20_3e',['EnumOption< LogFormat >',['../classarm__compute_1_1utils_1_1_enum_option.xhtml',1,'arm_compute::utils']]],
+  ['enumoption_3c_20loglevel_20_3e',['EnumOption< LogLevel >',['../classarm__compute_1_1utils_1_1_enum_option.xhtml',1,'arm_compute::utils']]],
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diff --git a/documentation/search/classes_6.js b/documentation/search/classes_6.js
index e3e3e81..07529c8 100644
--- a/documentation/search/classes_6.js
+++ b/documentation/search/classes_6.js
@@ -1,14 +1,14 @@
 var searchData=
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-  ['fullyconnectedlayernode',['FullyConnectedLayerNode',['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml',1,'arm_compute::graph']]],
-  ['functions',['functions',['../structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml',1,'arm_compute::test::fixed_point_arithmetic::detail']]]
+  ['fullyconnectedlayerinfo',['FullyConnectedLayerInfo',['../structarm__compute_1_1_fully_connected_layer_info.xhtml',1,'arm_compute']]],
+  ['fullyconnectedlayernode',['FullyConnectedLayerNode',['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml',1,'arm_compute::graph']]]
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diff --git a/documentation/search/classes_7.js b/documentation/search/classes_7.js
index 62904bb..26bd456 100644
--- a/documentation/search/classes_7.js
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@@ -72,5 +72,6 @@
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-  ['graphmanager',['GraphManager',['../classarm__compute_1_1graph_1_1_graph_manager.xhtml',1,'arm_compute::graph']]]
+  ['graphmanager',['GraphManager',['../classarm__compute_1_1graph_1_1_graph_manager.xhtml',1,'arm_compute::graph']]],
+  ['groupedconvolutionmutator',['GroupedConvolutionMutator',['../classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml',1,'arm_compute::graph']]]
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diff --git a/documentation/search/classes_8.js b/documentation/search/classes_8.js
index 3e3ec0c..d072d1b 100644
--- a/documentation/search/classes_8.js
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diff --git a/documentation/search/classes_9.js b/documentation/search/classes_9.js
index 2a0817a..9f78fce 100644
--- a/documentation/search/classes_9.js
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+  ['ifallback',['IFallback',['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch_1_1_i_fallback.xhtml',1,'arm_compute::NEGEMMAssemblyDispatch']]],
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+  ['iimagedatafeeder',['IImageDataFeeder',['../classarm__compute_1_1utils_1_1_i_image_data_feeder.xhtml',1,'arm_compute::utils']]],
+  ['iimageloader',['IImageLoader',['../classarm__compute_1_1utils_1_1_i_image_loader.xhtml',1,'arm_compute::utils']]],
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+  ['imageaccessor',['ImageAccessor',['../classarm__compute_1_1graph__utils_1_1_image_accessor.xhtml',1,'arm_compute::graph_utils']]],
+  ['imageloaderfactory',['ImageLoaderFactory',['../classarm__compute_1_1utils_1_1_image_loader_factory.xhtml',1,'arm_compute::utils']]],
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+  ['iterator',['Iterator',['../classarm__compute_1_1_iterator.xhtml',1,'arm_compute']]],
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diff --git a/documentation/search/classes_a.js b/documentation/search/classes_a.js
index 6e0da82..6152aec 100644
--- a/documentation/search/classes_a.js
+++ b/documentation/search/classes_a.js
@@ -1,5 +1,6 @@
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diff --git a/documentation/search/classes_c.js b/documentation/search/classes_c.js
index 09324f1..17bb2df 100644
--- a/documentation/search/classes_c.js
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-  ['listoption',['ListOption',['../classarm__compute_1_1test_1_1framework_1_1_list_option.xhtml',1,'arm_compute::test::framework']]],
+  ['listoption',['ListOption',['../classarm__compute_1_1utils_1_1_list_option.xhtml',1,'arm_compute::utils']]],
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diff --git a/documentation/search/classes_d.js b/documentation/search/classes_d.js
index da23591..4385584 100644
--- a/documentation/search/classes_d.js
+++ b/documentation/search/classes_d.js
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   ['memorygroupbase_3c_20tensor_20_3e',['MemoryGroupBase< Tensor >',['../classarm__compute_1_1_memory_group_base.xhtml',1,'arm_compute']]],
+  ['memoryimagefeeder',['MemoryImageFeeder',['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml',1,'arm_compute::utils']]],
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+  ['midgardtuner',['MidgardTuner',['../classarm__compute_1_1tuners_1_1_midgard_tuner.xhtml',1,'arm_compute::tuners']]],
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diff --git a/documentation/search/classes_e.js b/documentation/search/classes_e.js
index 263f7d6..ba3caa6 100644
--- a/documentation/search/classes_e.js
+++ b/documentation/search/classes_e.js
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+  ['neconcatenatelayer',['NEConcatenateLayer',['../classarm__compute_1_1_n_e_concatenate_layer.xhtml',1,'arm_compute']]],
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   ['neconvolutionsquare',['NEConvolutionSquare',['../classarm__compute_1_1_n_e_convolution_square.xhtml',1,'arm_compute']]],
+  ['necopy',['NECopy',['../classarm__compute_1_1_n_e_copy.xhtml',1,'arm_compute']]],
+  ['necopykernel',['NECopyKernel',['../classarm__compute_1_1_n_e_copy_kernel.xhtml',1,'arm_compute']]],
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+  ['negemmassemblydispatch',['NEGEMMAssemblyDispatch',['../classarm__compute_1_1_n_e_g_e_m_m_assembly_dispatch.xhtml',1,'arm_compute']]],
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+  ['negemminterleavedwrapper',['NEGEMMInterleavedWrapper',['../classarm__compute_1_1_n_e_g_e_m_m_interleaved_wrapper.xhtml',1,'arm_compute']]],
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+  ['nernnlayer',['NERNNLayer',['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml',1,'arm_compute']]],
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+  ['nesimpleassemblyfunction',['NESimpleAssemblyFunction',['../classarm__compute_1_1_n_e_simple_assembly_function.xhtml',1,'arm_compute']]],
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+  ['newidthconcatenatelayer',['NEWidthConcatenateLayer',['../classarm__compute_1_1_n_e_width_concatenate_layer.xhtml',1,'arm_compute']]],
+  ['newidthconcatenatelayerkernel',['NEWidthConcatenateLayerKernel',['../classarm__compute_1_1_n_e_width_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
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+  ['newinogradlayerconfiguration',['NEWinogradLayerConfiguration',['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml',1,'arm_compute']]],
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   ['newinogradlayertransformweightskernel',['NEWinogradLayerTransformWeightsKernel',['../classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml',1,'arm_compute']]],
+  ['nodeexecutionmethodmutator',['NodeExecutionMethodMutator',['../classarm__compute_1_1graph_1_1_node_execution_method_mutator.xhtml',1,'arm_compute::graph']]],
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diff --git a/documentation/search/classes_f.js b/documentation/search/classes_f.js
index a4adfb6..c8dec11 100644
--- a/documentation/search/classes_f.js
+++ b/documentation/search/classes_f.js
@@ -6,7 +6,7 @@
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-  ['option',['Option',['../classarm__compute_1_1test_1_1framework_1_1_option.xhtml',1,'arm_compute::test::framework']]],
+  ['option',['Option',['../classarm__compute_1_1utils_1_1_option.xhtml',1,'arm_compute::utils']]],
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diff --git a/documentation/search/defines_1.js b/documentation/search/defines_1.js
index e118f9b..726813f 100644
--- a/documentation/search/defines_1.js
+++ b/documentation/search/defines_1.js
@@ -1,16 +1,10 @@
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+  ['arm_5fcompute_5ferror_5fon_5ff16_5funsupported',['ARM_COMPUTE_ERROR_ON_F16_UNSUPPORTED',['../_c_l_validate_8h.xhtml#a236e0638b7e5d9ea324a619fb7fb8b0f',1,'CLValidate.h']]],
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+  ['arm_5fcompute_5ferror_5fon_5fint64_5fbase_5fatomics_5funsupported',['ARM_COMPUTE_ERROR_ON_INT64_BASE_ATOMICS_UNSUPPORTED',['../_c_l_validate_8h.xhtml#aeee72a21e2b3fbe356f4830774d4e2c1',1,'CLValidate.h']]],
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-  ['arm_5fcompute_5ferror_5fon_5fmismatching_5ffixed_5fpoint',['ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT',['../_validate_8h.xhtml#ab92ec8ea3d2b4661f61e26599931ef62',1,'Validate.h']]],
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diff --git a/documentation/search/defines_10.js b/documentation/search/defines_10.js
index 8393258..93c8121 100644
--- a/documentation/search/defines_10.js
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@@ -1,20 +1,18 @@
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diff --git a/documentation/search/defines_11.js b/documentation/search/defines_11.js
index 6ce1798..a13ce1f 100644
--- a/documentation/search/defines_11.js
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index 104b4b5..4078177 100644
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index 487a189..104b4b5 100644
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new file mode 100644
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new file mode 100644
index 0000000..c4bb486
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index 2a020a0..fbc96f6 100644
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index 62b1830..9409951 100644
--- a/documentation/search/defines_3.js
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diff --git a/documentation/search/defines_4.js b/documentation/search/defines_4.js
index 15c4372..5e4baf7 100644
--- a/documentation/search/defines_4.js
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-  ['expq_5fimpl',['EXPQ_IMPL',['../fixed__point_8h.xhtml#ae64808afdc06c77889f1bb0565905949',1,'fixed_point.h']]]
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diff --git a/documentation/search/defines_5.js b/documentation/search/defines_5.js
index f8d90d5..6e33e4f 100644
--- a/documentation/search/defines_5.js
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diff --git a/documentation/search/defines_8.js b/documentation/search/defines_8.js
index c42eb3a..a490bf8 100644
--- a/documentation/search/defines_8.js
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diff --git a/documentation/search/defines_a.js b/documentation/search/defines_a.js
index 3bafb00..80070af 100644
--- a/documentation/search/defines_a.js
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index b120a48..5bccc5c 100644
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index abbdfd6..c2c3982 100644
--- a/documentation/search/defines_c.js
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index 927c072..90d5c9b 100644
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index 5f3196d..abbdfd6 100644
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index 762d3d1..e8d9f2a 100644
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index 1eae3e6..fc007d5 100644
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index 89a8143..78c4b0d 100644
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index 95788bd..3c828ac 100644
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index 60f64d9..076d399 100644
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index 17d892b..bfac98d 100644
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index 24d8b70..3ff6668 100644
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index ded9868..254d26c 100644
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index efc8d41..f0dfaea 100644
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index df94474..1973dc5 100644
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index d19677c..9f51536 100644
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index 0119b97..434b132 100644
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index 2e80b58..d66dbfd 100644
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diff --git a/documentation/search/files_11.js b/documentation/search/files_11.js
index 46cfac2..3ebad6e 100644
--- a/documentation/search/files_11.js
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diff --git a/documentation/search/files_12.js b/documentation/search/files_12.js
index d7acbd0..e9b3674 100644
--- a/documentation/search/files_12.js
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diff --git a/documentation/search/files_13.js b/documentation/search/files_13.js
index 6b9371d..bad1a56 100644
--- a/documentation/search/files_13.js
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-  ['types_2eh',['types.h',['../types_8h.xhtml',1,'']]],
   ['types_2eh',['Types.h',['../tests_2_types_8h.xhtml',1,'']]],
   ['types_2eh',['Types.h',['../arm__compute_2graph_2frontend_2_types_8h.xhtml',1,'']]],
-  ['types_2eh',['Types.h',['../arm__compute_2runtime_2_types_8h.xhtml',1,'']]]
+  ['types_2eh',['types.h',['../types_8h.xhtml',1,'']]],
+  ['types_2eh',['Types.h',['../arm__compute_2runtime_2_types_8h.xhtml',1,'']]],
+  ['types_2eh',['Types.h',['../arm__compute_2core_2_types_8h.xhtml',1,'']]],
+  ['types_2eh',['Types.h',['../arm__compute_2graph_2_types_8h.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_15.js b/documentation/search/files_15.js
index c80f889..b35d471 100644
--- a/documentation/search/files_15.js
+++ b/documentation/search/files_15.js
@@ -1,5 +1,6 @@
 var searchData=
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   ['validate_2eh',['Validate.h',['../_validate_8h.xhtml',1,'']]],
   ['validatehelpers_2eh',['ValidateHelpers.h',['../_validate_helpers_8h.xhtml',1,'']]],
   ['validation_2ecpp',['Validation.cpp',['../_validation_8cpp.xhtml',1,'']]],
diff --git a/documentation/search/files_16.js b/documentation/search/files_16.js
index 159a22d..d659f03 100644
--- a/documentation/search/files_16.js
+++ b/documentation/search/files_16.js
@@ -5,23 +5,34 @@
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   ['warp_5fperspective_2ecl',['warp_perspective.cl',['../warp__perspective_8cl.xhtml',1,'']]],
-  ['warpaffine_2ecpp',['WarpAffine.cpp',['../_c_l_2_warp_affine_8cpp.xhtml',1,'']]],
-  ['warpaffine_2ecpp',['WarpAffine.cpp',['../_n_e_o_n_2_warp_affine_8cpp.xhtml',1,'']]],
-  ['warpaffine_2ecpp',['WarpAffine.cpp',['../reference_2_warp_affine_8cpp.xhtml',1,'']]],
+  ['warpaffine_2ecpp',['WarpAffine.cpp',['../validation_2reference_2_warp_affine_8cpp.xhtml',1,'']]],
+  ['warpaffine_2ecpp',['WarpAffine.cpp',['../benchmark_2_c_l_2_warp_affine_8cpp.xhtml',1,'']]],
+  ['warpaffine_2ecpp',['WarpAffine.cpp',['../benchmark_2_n_e_o_n_2_warp_affine_8cpp.xhtml',1,'']]],
+  ['warpaffine_2ecpp',['WarpAffine.cpp',['../validation_2_c_l_2_warp_affine_8cpp.xhtml',1,'']]],
+  ['warpaffine_2ecpp',['WarpAffine.cpp',['../validation_2_n_e_o_n_2_warp_affine_8cpp.xhtml',1,'']]],
   ['warpaffine_2eh',['WarpAffine.h',['../_warp_affine_8h.xhtml',1,'']]],
-  ['warpperspective_2ecpp',['WarpPerspective.cpp',['../reference_2_warp_perspective_8cpp.xhtml',1,'']]],
   ['warpperspective_2ecpp',['WarpPerspective.cpp',['../_c_l_2_warp_perspective_8cpp.xhtml',1,'']]],
   ['warpperspective_2ecpp',['WarpPerspective.cpp',['../_n_e_o_n_2_warp_perspective_8cpp.xhtml',1,'']]],
+  ['warpperspective_2ecpp',['WarpPerspective.cpp',['../reference_2_warp_perspective_8cpp.xhtml',1,'']]],
   ['warpperspective_2eh',['WarpPerspective.h',['../_warp_perspective_8h.xhtml',1,'']]],
-  ['widthconcatenatelayer_2ecpp',['WidthConcatenateLayer.cpp',['../_c_l_2_width_concatenate_layer_8cpp.xhtml',1,'']]],
+  ['weightsreshape_2ecpp',['WeightsReshape.cpp',['../_c_l_2_weights_reshape_8cpp.xhtml',1,'']]],
+  ['weightsreshape_2ecpp',['WeightsReshape.cpp',['../reference_2_weights_reshape_8cpp.xhtml',1,'']]],
+  ['weightsreshape_2eh',['WeightsReshape.h',['../_weights_reshape_8h.xhtml',1,'']]],
+  ['weightsretention_2ecpp',['WeightsRetention.cpp',['../_weights_retention_8cpp.xhtml',1,'']]],
   ['widthconcatenatelayer_2ecpp',['WidthConcatenateLayer.cpp',['../reference_2_width_concatenate_layer_8cpp.xhtml',1,'']]],
+  ['widthconcatenatelayer_2ecpp',['WidthConcatenateLayer.cpp',['../_c_l_2_width_concatenate_layer_8cpp.xhtml',1,'']]],
+  ['widthconcatenatelayer_2ecpp',['WidthConcatenateLayer.cpp',['../_n_e_o_n_2_width_concatenate_layer_8cpp.xhtml',1,'']]],
   ['widthconcatenatelayer_2eh',['WidthConcatenateLayer.h',['../_width_concatenate_layer_8h.xhtml',1,'']]],
   ['window_2eh',['Window.h',['../_window_8h.xhtml',1,'']]],
   ['window_2einl',['Window.inl',['../_window_8inl.xhtml',1,'']]],
-  ['winograd_2ecl',['winograd.cl',['../winograd_8cl.xhtml',1,'']]],
-  ['winograd_2ecpp',['Winograd.cpp',['../reference_2_winograd_8cpp.xhtml',1,'']]],
+  ['windowiterator_2ecpp',['WindowIterator.cpp',['../_window_iterator_8cpp.xhtml',1,'']]],
+  ['windowiterator_2eh',['WindowIterator.h',['../_window_iterator_8h.xhtml',1,'']]],
   ['winograd_2ecpp',['Winograd.cpp',['../_c_l_2_winograd_8cpp.xhtml',1,'']]],
+  ['winograd_2ecpp',['Winograd.cpp',['../reference_2_winograd_8cpp.xhtml',1,'']]],
   ['winograd_2eh',['Winograd.h',['../_winograd_8h.xhtml',1,'']]],
+  ['winograd_5ffilter_5ftransform_2ecl',['winograd_filter_transform.cl',['../winograd__filter__transform_8cl.xhtml',1,'']]],
+  ['winograd_5finput_5ftransform_2ecl',['winograd_input_transform.cl',['../winograd__input__transform_8cl.xhtml',1,'']]],
+  ['winograd_5foutput_5ftransform_2ecl',['winograd_output_transform.cl',['../winograd__output__transform_8cl.xhtml',1,'']]],
   ['workload_2eh',['Workload.h',['../_workload_8h.xhtml',1,'']]],
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 ];
diff --git a/documentation/search/files_2.js b/documentation/search/files_2.js
index d9d5f79..0cb80ac 100644
--- a/documentation/search/files_2.js
+++ b/documentation/search/files_2.js
@@ -3,16 +3,15 @@
   ['backendregistrar_2eh',['BackendRegistrar.h',['../_backend_registrar_8h.xhtml',1,'']]],
   ['backendregistry_2eh',['BackendRegistry.h',['../_backend_registry_8h.xhtml',1,'']]],
   ['batchnormalization_5flayer_2ecl',['batchnormalization_layer.cl',['../batchnormalization__layer_8cl.xhtml',1,'']]],
-  ['batchnormalizationlayer_2ecpp',['BatchNormalizationLayer.cpp',['../validation_2reference_2_batch_normalization_layer_8cpp.xhtml',1,'']]],
   ['batchnormalizationlayer_2ecpp',['BatchNormalizationLayer.cpp',['../benchmark_2_c_l_2_batch_normalization_layer_8cpp.xhtml',1,'']]],
   ['batchnormalizationlayer_2ecpp',['BatchNormalizationLayer.cpp',['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml',1,'']]],
   ['batchnormalizationlayer_2ecpp',['BatchNormalizationLayer.cpp',['../benchmark_2_n_e_o_n_2_batch_normalization_layer_8cpp.xhtml',1,'']]],
   ['batchnormalizationlayer_2ecpp',['BatchNormalizationLayer.cpp',['../validation_2_c_l_2_batch_normalization_layer_8cpp.xhtml',1,'']]],
   ['batchnormalizationlayer_2ecpp',['BatchNormalizationLayer.cpp',['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_batch_normalization_layer_8cpp.xhtml',1,'']]],
   ['batchnormalizationlayer_2ecpp',['BatchNormalizationLayer.cpp',['../validation_2_n_e_o_n_2_batch_normalization_layer_8cpp.xhtml',1,'']]],
+  ['batchnormalizationlayer_2ecpp',['BatchNormalizationLayer.cpp',['../validation_2reference_2_batch_normalization_layer_8cpp.xhtml',1,'']]],
   ['batchnormalizationlayer_2eh',['BatchNormalizationLayer.h',['../_batch_normalization_layer_8h.xhtml',1,'']]],
   ['batchnormalizationlayernode_2eh',['BatchNormalizationLayerNode.h',['../_batch_normalization_layer_node_8h.xhtml',1,'']]],
-  ['bfs_2eh',['BFS.h',['../_b_f_s_8h.xhtml',1,'']]],
   ['bifrosttuner_2eh',['BifrostTuner.h',['../_bifrost_tuner_8h.xhtml',1,'']]],
   ['bitwise_5fop_2ecl',['bitwise_op.cl',['../bitwise__op_8cl.xhtml',1,'']]],
   ['bitwiseand_2ecpp',['BitwiseAnd.cpp',['../_c_l_2_bitwise_and_8cpp.xhtml',1,'']]],
@@ -23,8 +22,8 @@
   ['bitwisenot_2ecpp',['BitwiseNot.cpp',['../_n_e_o_n_2_bitwise_not_8cpp.xhtml',1,'']]],
   ['bitwisenot_2ecpp',['BitwiseNot.cpp',['../reference_2_bitwise_not_8cpp.xhtml',1,'']]],
   ['bitwisenot_2eh',['BitwiseNot.h',['../_bitwise_not_8h.xhtml',1,'']]],
-  ['bitwiseor_2ecpp',['BitwiseOr.cpp',['../_c_l_2_bitwise_or_8cpp.xhtml',1,'']]],
   ['bitwiseor_2ecpp',['BitwiseOr.cpp',['../_n_e_o_n_2_bitwise_or_8cpp.xhtml',1,'']]],
+  ['bitwiseor_2ecpp',['BitwiseOr.cpp',['../_c_l_2_bitwise_or_8cpp.xhtml',1,'']]],
   ['bitwiseor_2ecpp',['BitwiseOr.cpp',['../reference_2_bitwise_or_8cpp.xhtml',1,'']]],
   ['bitwiseor_2eh',['BitwiseOr.h',['../_bitwise_or_8h.xhtml',1,'']]],
   ['bitwisexor_2ecpp',['BitwiseXor.cpp',['../_n_e_o_n_2_bitwise_xor_8cpp.xhtml',1,'']]],
@@ -33,8 +32,8 @@
   ['bitwisexor_2eh',['BitwiseXor.h',['../_bitwise_xor_8h.xhtml',1,'']]],
   ['bloblifetimemanager_2eh',['BlobLifetimeManager.h',['../_blob_lifetime_manager_8h.xhtml',1,'']]],
   ['blobmemorypool_2eh',['BlobMemoryPool.h',['../_blob_memory_pool_8h.xhtml',1,'']]],
-  ['box3x3_2ecpp',['Box3x3.cpp',['../_c_l_2_box3x3_8cpp.xhtml',1,'']]],
   ['box3x3_2ecpp',['Box3x3.cpp',['../reference_2_box3x3_8cpp.xhtml',1,'']]],
+  ['box3x3_2ecpp',['Box3x3.cpp',['../_c_l_2_box3x3_8cpp.xhtml',1,'']]],
   ['box3x3_2ecpp',['Box3x3.cpp',['../_n_e_o_n_2_box3x3_8cpp.xhtml',1,'']]],
   ['box3x3_2eh',['Box3x3.h',['../_box3x3_8h.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_3.js b/documentation/search/files_3.js
index 64e1be7..dccee6a 100644
--- a/documentation/search/files_3.js
+++ b/documentation/search/files_3.js
@@ -1,6 +1,12 @@
 var searchData=
 [
   ['canny_2ecl',['canny.cl',['../canny_8cl.xhtml',1,'']]],
+  ['cannyedge_2ecpp',['CannyEdge.cpp',['../validation_2_n_e_o_n_2_canny_edge_8cpp.xhtml',1,'']]],
+  ['cannyedge_2ecpp',['CannyEdge.cpp',['../benchmark_2_c_l_2_canny_edge_8cpp.xhtml',1,'']]],
+  ['cannyedge_2ecpp',['CannyEdge.cpp',['../benchmark_2_n_e_o_n_2_canny_edge_8cpp.xhtml',1,'']]],
+  ['cannyedge_2ecpp',['CannyEdge.cpp',['../validation_2_c_l_2_canny_edge_8cpp.xhtml',1,'']]],
+  ['cannyedgedetector_2ecpp',['CannyEdgeDetector.cpp',['../_canny_edge_detector_8cpp.xhtml',1,'']]],
+  ['cannyedgedetector_2eh',['CannyEdgeDetector.h',['../_canny_edge_detector_8h.xhtml',1,'']]],
   ['cartesianproductdataset_2eh',['CartesianProductDataset.h',['../_cartesian_product_dataset_8h.xhtml',1,'']]],
   ['cast_2eh',['Cast.h',['../_cast_8h.xhtml',1,'']]],
   ['channel_5fcombine_2ecl',['channel_combine.cl',['../channel__combine_8cl.xhtml',1,'']]],
@@ -14,9 +20,10 @@
   ['channelextract_2ecpp',['ChannelExtract.cpp',['../_n_e_o_n_2_channel_extract_8cpp.xhtml',1,'']]],
   ['channelextract_2ecpp',['ChannelExtract.cpp',['../reference_2_channel_extract_8cpp.xhtml',1,'']]],
   ['channelextract_2eh',['ChannelExtract.h',['../_channel_extract_8h.xhtml',1,'']]],
-  ['channelshuffle_2ecpp',['ChannelShuffle.cpp',['../_c_l_2_channel_shuffle_8cpp.xhtml',1,'']]],
   ['channelshuffle_2ecpp',['ChannelShuffle.cpp',['../reference_2_channel_shuffle_8cpp.xhtml',1,'']]],
+  ['channelshuffle_2ecpp',['ChannelShuffle.cpp',['../_c_l_2_channel_shuffle_8cpp.xhtml',1,'']]],
   ['channelshuffle_2eh',['ChannelShuffle.h',['../_channel_shuffle_8h.xhtml',1,'']]],
+  ['channelshufflelayernode_2eh',['ChannelShuffleLayerNode.h',['../_channel_shuffle_layer_node_8h.xhtml',1,'']]],
   ['cl_5fconvolution_2ecpp',['cl_convolution.cpp',['../cl__convolution_8cpp.xhtml',1,'']]],
   ['cl_5fevents_2ecpp',['cl_events.cpp',['../cl__events_8cpp.xhtml',1,'']]],
   ['cl_5fsgemm_2ecpp',['cl_sgemm.cpp',['../cl__sgemm_8cpp.xhtml',1,'']]],
@@ -29,6 +36,8 @@
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   ['clarithmeticadditionkernel_2eh',['CLArithmeticAdditionKernel.h',['../_c_l_arithmetic_addition_kernel_8h.xhtml',1,'']]],
+  ['clarithmeticdivision_2eh',['CLArithmeticDivision.h',['../_c_l_arithmetic_division_8h.xhtml',1,'']]],
+  ['clarithmeticdivisionkernel_2eh',['CLArithmeticDivisionKernel.h',['../_c_l_arithmetic_division_kernel_8h.xhtml',1,'']]],
   ['clarithmeticsubtraction_2eh',['CLArithmeticSubtraction.h',['../_c_l_arithmetic_subtraction_8h.xhtml',1,'']]],
   ['clarithmeticsubtractionkernel_2eh',['CLArithmeticSubtractionKernel.h',['../_c_l_arithmetic_subtraction_kernel_8h.xhtml',1,'']]],
   ['clarray_2eh',['CLArray.h',['../_c_l_array_8h.xhtml',1,'']]],
@@ -57,6 +66,7 @@
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   ['clcolorconvertkernel_2eh',['CLColorConvertKernel.h',['../_c_l_color_convert_kernel_8h.xhtml',1,'']]],
+  ['clconcatenatelayer_2eh',['CLConcatenateLayer.h',['../_c_l_concatenate_layer_8h.xhtml',1,'']]],
   ['clconvertfullyconnectedweights_2eh',['CLConvertFullyConnectedWeights.h',['../_c_l_convert_fully_connected_weights_8h.xhtml',1,'']]],
   ['clconvertfullyconnectedweightskernel_2eh',['CLConvertFullyConnectedWeightsKernel.h',['../_c_l_convert_fully_connected_weights_kernel_8h.xhtml',1,'']]],
   ['clconvolution_2eh',['CLConvolution.h',['../_c_l_convolution_8h.xhtml',1,'']]],
@@ -97,6 +107,7 @@
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   ['clfillborderkernel_2eh',['CLFillBorderKernel.h',['../_c_l_fill_border_kernel_8h.xhtml',1,'']]],
   ['clflattenlayer_2eh',['CLFlattenLayer.h',['../_c_l_flatten_layer_8h.xhtml',1,'']]],
+  ['clflattenlayerkernel_2eh',['CLFlattenLayerKernel.h',['../_c_l_flatten_layer_kernel_8h.xhtml',1,'']]],
   ['clfloor_2eh',['CLFloor.h',['../_c_l_floor_8h.xhtml',1,'']]],
   ['clfloorkernel_2eh',['CLFloorKernel.h',['../_c_l_floor_kernel_8h.xhtml',1,'']]],
   ['clfullyconnectedlayer_2eh',['CLFullyConnectedLayer.h',['../_c_l_fully_connected_layer_8h.xhtml',1,'']]],
@@ -221,6 +232,7 @@
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   ['cltypes_2eh',['CLTypes.h',['../_c_l_types_8h.xhtml',1,'']]],
+  ['clvalidate_2eh',['CLValidate.h',['../_c_l_validate_8h.xhtml',1,'']]],
   ['clwarpaffine_2eh',['CLWarpAffine.h',['../_c_l_warp_affine_8h.xhtml',1,'']]],
   ['clwarpaffinekernel_2eh',['CLWarpAffineKernel.h',['../_c_l_warp_affine_kernel_8h.xhtml',1,'']]],
   ['clwarpperspective_2eh',['CLWarpPerspective.h',['../_c_l_warp_perspective_8h.xhtml',1,'']]],
@@ -234,14 +246,26 @@
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   ['clwinogradoutputtransformkernel_2eh',['CLWinogradOutputTransformKernel.h',['../_c_l_winograd_output_transform_kernel_8h.xhtml',1,'']]],
   ['col2im_2ecl',['col2im.cl',['../col2im_8cl.xhtml',1,'']]],
-  ['col2im_2ecpp',['Col2Im.cpp',['../_col2_im_8cpp.xhtml',1,'']]],
+  ['col2im_2ecpp',['Col2Im.cpp',['../_c_l_2_col2_im_8cpp.xhtml',1,'']]],
+  ['col2im_2ecpp',['Col2Im.cpp',['../_n_e_o_n_2_col2_im_8cpp.xhtml',1,'']]],
+  ['col2im_2ecpp',['Col2Im.cpp',['../reference_2_col2_im_8cpp.xhtml',1,'']]],
+  ['col2im_2eh',['Col2Im.h',['../_col2_im_8h.xhtml',1,'']]],
   ['color_5fconvert_2ecl',['color_convert.cl',['../color__convert_8cl.xhtml',1,'']]],
+  ['colorconvert_2ecpp',['ColorConvert.cpp',['../validation_2reference_2_color_convert_8cpp.xhtml',1,'']]],
+  ['colorconvert_2ecpp',['ColorConvert.cpp',['../benchmark_2_n_e_o_n_2_color_convert_8cpp.xhtml',1,'']]],
+  ['colorconvert_2ecpp',['ColorConvert.cpp',['../benchmark_2_c_l_2_color_convert_8cpp.xhtml',1,'']]],
+  ['colorconvert_2ecpp',['ColorConvert.cpp',['../validation_2_c_l_2_color_convert_8cpp.xhtml',1,'']]],
+  ['colorconvert_2ecpp',['ColorConvert.cpp',['../validation_2_n_e_o_n_2_color_convert_8cpp.xhtml',1,'']]],
+  ['colorconvert_2eh',['ColorConvert.h',['../_color_convert_8h.xhtml',1,'']]],
+  ['colorconverthelper_2eh',['ColorConvertHelper.h',['../_color_convert_helper_8h.xhtml',1,'']]],
   ['commandlineoptions_2eh',['CommandLineOptions.h',['../_command_line_options_8h.xhtml',1,'']]],
-  ['commandlineparser_2ecpp',['CommandLineParser.cpp',['../_command_line_parser_8cpp.xhtml',1,'']]],
   ['commandlineparser_2eh',['CommandLineParser.h',['../_command_line_parser_8h.xhtml',1,'']]],
+  ['commongraphoptions_2ecpp',['CommonGraphOptions.cpp',['../_common_graph_options_8cpp.xhtml',1,'']]],
+  ['commongraphoptions_2eh',['CommonGraphOptions.h',['../_common_graph_options_8h.xhtml',1,'']]],
   ['commonoptions_2ecpp',['CommonOptions.cpp',['../_common_options_8cpp.xhtml',1,'']]],
   ['commonoptions_2eh',['CommonOptions.h',['../_common_options_8h.xhtml',1,'']]],
   ['concatenate_2ecl',['concatenate.cl',['../concatenate_8cl.xhtml',1,'']]],
+  ['concatenatelayernode_2eh',['ConcatenateLayerNode.h',['../_concatenate_layer_node_8h.xhtml',1,'']]],
   ['constnode_2eh',['ConstNode.h',['../_const_node_8h.xhtml',1,'']]],
   ['containerdataset_2eh',['ContainerDataset.h',['../_container_dataset_8h.xhtml',1,'']]],
   ['convert_5ffc_5fweights_2ecl',['convert_fc_weights.cl',['../convert__fc__weights_8cl.xhtml',1,'']]],
@@ -249,9 +273,11 @@
   ['convertfullyconnectedweights_2ecpp',['ConvertFullyConnectedWeights.cpp',['../reference_2_convert_fully_connected_weights_8cpp.xhtml',1,'']]],
   ['convertfullyconnectedweights_2ecpp',['ConvertFullyConnectedWeights.cpp',['../_n_e_o_n_2_convert_fully_connected_weights_8cpp.xhtml',1,'']]],
   ['convertfullyconnectedweights_2eh',['ConvertFullyConnectedWeights.h',['../_convert_fully_connected_weights_8h.xhtml',1,'']]],
-  ['convolution_2ecpp',['Convolution.cpp',['../reference_2_convolution_8cpp.xhtml',1,'']]],
-  ['convolution_2ecpp',['Convolution.cpp',['../_c_l_2_convolution_8cpp.xhtml',1,'']]],
-  ['convolution_2ecpp',['Convolution.cpp',['../_n_e_o_n_2_convolution_8cpp.xhtml',1,'']]],
+  ['convolution_2ecpp',['Convolution.cpp',['../benchmark_2_n_e_o_n_2_convolution_8cpp.xhtml',1,'']]],
+  ['convolution_2ecpp',['Convolution.cpp',['../validation_2_c_l_2_convolution_8cpp.xhtml',1,'']]],
+  ['convolution_2ecpp',['Convolution.cpp',['../validation_2_n_e_o_n_2_convolution_8cpp.xhtml',1,'']]],
+  ['convolution_2ecpp',['Convolution.cpp',['../benchmark_2_c_l_2_convolution_8cpp.xhtml',1,'']]],
+  ['convolution_2ecpp',['Convolution.cpp',['../validation_2reference_2_convolution_8cpp.xhtml',1,'']]],
   ['convolution_2eh',['Convolution.h',['../_convolution_8h.xhtml',1,'']]],
   ['convolution3d_2eh',['Convolution3d.h',['../_convolution3d_8h.xhtml',1,'']]],
   ['convolution3x3_2ecl',['convolution3x3.cl',['../convolution3x3_8cl.xhtml',1,'']]],
@@ -260,18 +286,19 @@
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-  ['convolutionlayer_2ecpp',['ConvolutionLayer.cpp',['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_convolution_layer_8cpp.xhtml',1,'']]],
-  ['convolutionlayer_2ecpp',['ConvolutionLayer.cpp',['../validation_2_n_e_o_n_2_convolution_layer_8cpp.xhtml',1,'']]],
-  ['convolutionlayer_2ecpp',['ConvolutionLayer.cpp',['../validation_2_c_l_2_convolution_layer_8cpp.xhtml',1,'']]],
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-  ['convolutionlayer_2ecpp',['ConvolutionLayer.cpp',['../benchmark_2_n_e_o_n_2_convolution_layer_8cpp.xhtml',1,'']]],
   ['convolutionlayer_2ecpp',['ConvolutionLayer.cpp',['../benchmark_2_c_l_2_convolution_layer_8cpp.xhtml',1,'']]],
+  ['convolutionlayer_2ecpp',['ConvolutionLayer.cpp',['../validation_2_c_l_2_convolution_layer_8cpp.xhtml',1,'']]],
+  ['convolutionlayer_2ecpp',['ConvolutionLayer.cpp',['../benchmark_2_n_e_o_n_2_convolution_layer_8cpp.xhtml',1,'']]],
+  ['convolutionlayer_2ecpp',['ConvolutionLayer.cpp',['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_convolution_layer_8cpp.xhtml',1,'']]],
+  ['convolutionlayer_2ecpp',['ConvolutionLayer.cpp',['../validation_2_n_e_o_n_2_convolution_layer_8cpp.xhtml',1,'']]],
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-  ['copy_2ecpp',['Copy.cpp',['../_c_l_2_copy_8cpp.xhtml',1,'']]],
+  ['copy_2ecpp',['Copy.cpp',['../_n_e_o_n_2_copy_8cpp.xhtml',1,'']]],
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+  ['copy_2ecpp',['Copy.cpp',['../_c_l_2_copy_8cpp.xhtml',1,'']]],
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diff --git a/documentation/search/files_4.js b/documentation/search/files_4.js
index b267ebf..83913ea 100644
--- a/documentation/search/files_4.js
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-  ['depthconcatenatelayer_2ecpp',['DepthConcatenateLayer.cpp',['../validation_2_n_e_o_n_2_depth_concatenate_layer_8cpp.xhtml',1,'']]],
+  ['depthconcatenatelayer_2ecpp',['DepthConcatenateLayer.cpp',['../validation_2_c_l_2_depth_concatenate_layer_8cpp.xhtml',1,'']]],
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   ['depthconcatenatelayer_2ecpp',['DepthConcatenateLayer.cpp',['../validation_2reference_2_depth_concatenate_layer_8cpp.xhtml',1,'']]],
+  ['depthconcatenatelayer_2ecpp',['DepthConcatenateLayer.cpp',['../validation_2_n_e_o_n_2_depth_concatenate_layer_8cpp.xhtml',1,'']]],
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-  ['depthconcatenatelayernode_2eh',['DepthConcatenateLayerNode.h',['../_depth_concatenate_layer_node_8h.xhtml',1,'']]],
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-  ['depthwiseseparableconvolutionlayer_2ecpp',['DepthwiseSeparableConvolutionLayer.cpp',['../validation_2_n_e_o_n_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'']]],
+  ['depthwiseseparableconvolutionlayer_2ecpp',['DepthwiseSeparableConvolutionLayer.cpp',['../benchmark_2_c_l_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'']]],
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-  ['depthwiseseparableconvolutionlayer_2ecpp',['DepthwiseSeparableConvolutionLayer.cpp',['../benchmark_2_c_l_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'']]],
+  ['depthwiseseparableconvolutionlayer_2ecpp',['DepthwiseSeparableConvolutionLayer.cpp',['../validation_2_n_e_o_n_2_depthwise_separable_convolution_layer_8cpp.xhtml',1,'']]],
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-  ['dequantizationlayer_2ecpp',['DequantizationLayer.cpp',['../validation_2reference_2_dequantization_layer_8cpp.xhtml',1,'']]],
+  ['dequantizationlayer_2ecpp',['DequantizationLayer.cpp',['../validation_2_n_e_o_n_2_dequantization_layer_8cpp.xhtml',1,'']]],
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-  ['dequantizationlayer_2ecpp',['DequantizationLayer.cpp',['../validation_2_n_e_o_n_2_dequantization_layer_8cpp.xhtml',1,'']]],
+  ['dequantizationlayer_2ecpp',['DequantizationLayer.cpp',['../validation_2reference_2_dequantization_layer_8cpp.xhtml',1,'']]],
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-  ['directconvolutionlayer_2ecpp',['DirectConvolutionLayer.cpp',['../benchmark_2_n_e_o_n_2_direct_convolution_layer_8cpp.xhtml',1,'']]],
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+  ['directconvolutionlayer_2ecpp',['DirectConvolutionLayer.cpp',['../benchmark_2_n_e_o_n_2_direct_convolution_layer_8cpp.xhtml',1,'']]],
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+  ['directconvolutionlayer_2ecpp',['DirectConvolutionLayer.cpp',['../benchmark_2_c_l_2_direct_convolution_layer_8cpp.xhtml',1,'']]],
+  ['directconvolutionlayer_2ecpp',['DirectConvolutionLayer.cpp',['../validation_2_n_e_o_n_2_direct_convolution_layer_8cpp.xhtml',1,'']]],
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diff --git a/documentation/search/files_5.js b/documentation/search/files_5.js
index bf6caa1..4fd9ce0 100644
--- a/documentation/search/files_5.js
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   ['equalizehistogram_2ecpp',['EqualizeHistogram.cpp',['../validation_2_n_e_o_n_2_equalize_histogram_8cpp.xhtml',1,'']]],
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   ['erode_2ecpp',['Erode.cpp',['../reference_2_erode_8cpp.xhtml',1,'']]],
+  ['erode_2ecpp',['Erode.cpp',['../_c_l_2_erode_8cpp.xhtml',1,'']]],
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diff --git a/documentation/search/files_6.js b/documentation/search/files_6.js
index f999e74..f2687d7 100644
--- a/documentation/search/files_6.js
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-  ['fastcorners_2ecpp',['FastCorners.cpp',['../_c_l_2_fast_corners_8cpp.xhtml',1,'']]],
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   ['fullyconnectedlayer_2ecpp',['FullyConnectedLayer.cpp',['../benchmark_2_n_e_o_n_2_fully_connected_layer_8cpp.xhtml',1,'']]],
+  ['fullyconnectedlayer_2ecpp',['FullyConnectedLayer.cpp',['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_fully_connected_layer_8cpp.xhtml',1,'']]],
+  ['fullyconnectedlayer_2ecpp',['FullyConnectedLayer.cpp',['../benchmark_2_c_l_2_fully_connected_layer_8cpp.xhtml',1,'']]],
+  ['fullyconnectedlayer_2ecpp',['FullyConnectedLayer.cpp',['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_fully_connected_layer_8cpp.xhtml',1,'']]],
+  ['fullyconnectedlayer_2ecpp',['FullyConnectedLayer.cpp',['../validation_2reference_2_fully_connected_layer_8cpp.xhtml',1,'']]],
   ['fullyconnectedlayer_2eh',['FullyConnectedLayer.h',['../_fully_connected_layer_8h.xhtml',1,'']]],
-  ['fullyconnectedlayernode_2eh',['FullyConnectedLayerNode.h',['../_fully_connected_layer_node_8h.xhtml',1,'']]]
+  ['fullyconnectedlayernode_2eh',['FullyConnectedLayerNode.h',['../_fully_connected_layer_node_8h.xhtml',1,'']]],
+  ['functionhelpers_2eh',['FunctionHelpers.h',['../_function_helpers_8h.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_7.js b/documentation/search/files_7.js
index fd6adbe..9ffd3c0 100644
--- a/documentation/search/files_7.js
+++ b/documentation/search/files_7.js
@@ -9,8 +9,10 @@
   ['gaussian5x5_2ecpp',['Gaussian5x5.cpp',['../reference_2_gaussian5x5_8cpp.xhtml',1,'']]],
   ['gaussian5x5_2eh',['Gaussian5x5.h',['../_gaussian5x5_8h.xhtml',1,'']]],
   ['gaussian_5fpyramid_2ecl',['gaussian_pyramid.cl',['../gaussian__pyramid_8cl.xhtml',1,'']]],
-  ['gaussianpyramid_2ecpp',['GaussianPyramid.cpp',['../_c_l_2_gaussian_pyramid_8cpp.xhtml',1,'']]],
-  ['gaussianpyramid_2ecpp',['GaussianPyramid.cpp',['../_n_e_o_n_2_gaussian_pyramid_8cpp.xhtml',1,'']]],
+  ['gaussianpyramid_2ecpp',['GaussianPyramid.cpp',['../benchmark_2_c_l_2_gaussian_pyramid_8cpp.xhtml',1,'']]],
+  ['gaussianpyramid_2ecpp',['GaussianPyramid.cpp',['../benchmark_2_n_e_o_n_2_gaussian_pyramid_8cpp.xhtml',1,'']]],
+  ['gaussianpyramid_2ecpp',['GaussianPyramid.cpp',['../validation_2_c_l_2_gaussian_pyramid_8cpp.xhtml',1,'']]],
+  ['gaussianpyramid_2ecpp',['GaussianPyramid.cpp',['../validation_2_n_e_o_n_2_gaussian_pyramid_8cpp.xhtml',1,'']]],
   ['gaussianpyramidhalf_2ecpp',['GaussianPyramidHalf.cpp',['../_gaussian_pyramid_half_8cpp.xhtml',1,'']]],
   ['gaussianpyramidhalf_2eh',['GaussianPyramidHalf.h',['../_gaussian_pyramid_half_8h.xhtml',1,'']]],
   ['gc_5fabsdiff_2ecpp',['gc_absdiff.cpp',['../gc__absdiff_8cpp.xhtml',1,'']]],
@@ -77,12 +79,12 @@
   ['gctransposekernel_2eh',['GCTransposeKernel.h',['../_g_c_transpose_kernel_8h.xhtml',1,'']]],
   ['gcweightsreshapekernel_2eh',['GCWeightsReshapeKernel.h',['../_g_c_weights_reshape_kernel_8h.xhtml',1,'']]],
   ['gemm_2ecl',['gemm.cl',['../gemm_8cl.xhtml',1,'']]],
-  ['gemm_2ecpp',['GEMM.cpp',['../validation_2_n_e_o_n_2_g_e_m_m_8cpp.xhtml',1,'']]],
-  ['gemm_2ecpp',['GEMM.cpp',['../benchmark_2_c_l_2_g_e_m_m_8cpp.xhtml',1,'']]],
-  ['gemm_2ecpp',['GEMM.cpp',['../benchmark_2_n_e_o_n_2_g_e_m_m_8cpp.xhtml',1,'']]],
   ['gemm_2ecpp',['GEMM.cpp',['../validation_2_c_l_2_g_e_m_m_8cpp.xhtml',1,'']]],
   ['gemm_2ecpp',['GEMM.cpp',['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_g_e_m_m_8cpp.xhtml',1,'']]],
+  ['gemm_2ecpp',['GEMM.cpp',['../validation_2_n_e_o_n_2_g_e_m_m_8cpp.xhtml',1,'']]],
   ['gemm_2ecpp',['GEMM.cpp',['../validation_2reference_2_g_e_m_m_8cpp.xhtml',1,'']]],
+  ['gemm_2ecpp',['GEMM.cpp',['../benchmark_2_c_l_2_g_e_m_m_8cpp.xhtml',1,'']]],
+  ['gemm_2ecpp',['GEMM.cpp',['../benchmark_2_n_e_o_n_2_g_e_m_m_8cpp.xhtml',1,'']]],
   ['gemm_2ecpp',['GEMM.cpp',['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_g_e_m_m_8cpp.xhtml',1,'']]],
   ['gemm_2eh',['GEMM.h',['../_g_e_m_m_8h.xhtml',1,'']]],
   ['gemminterleave4x4_2ecpp',['GEMMInterleave4x4.cpp',['../_n_e_o_n_2_g_e_m_m_interleave4x4_8cpp.xhtml',1,'']]],
@@ -90,17 +92,17 @@
   ['gemminterleave4x4_2eh',['GEMMInterleave4x4.h',['../_g_e_m_m_interleave4x4_8h.xhtml',1,'']]],
   ['gemminterleaveblocked_2eh',['GEMMInterleaveBlocked.h',['../_g_e_m_m_interleave_blocked_8h.xhtml',1,'']]],
   ['gemmlowp_2ecl',['gemmlowp.cl',['../gemmlowp_8cl.xhtml',1,'']]],
-  ['gemmlowp_2ecpp',['GEMMLowp.cpp',['../validation_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'']]],
-  ['gemmlowp_2ecpp',['GEMMLowp.cpp',['../validation_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'']]],
   ['gemmlowp_2ecpp',['GEMMLowp.cpp',['../benchmark_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'']]],
   ['gemmlowp_2ecpp',['GEMMLowp.cpp',['../validation_2reference_2_g_e_m_m_lowp_8cpp.xhtml',1,'']]],
   ['gemmlowp_2ecpp',['GEMMLowp.cpp',['../benchmark_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'']]],
+  ['gemmlowp_2ecpp',['GEMMLowp.cpp',['../validation_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'']]],
+  ['gemmlowp_2ecpp',['GEMMLowp.cpp',['../validation_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'']]],
   ['gemmlowp_2eh',['GEMMLowp.h',['../_g_e_m_m_lowp_8h.xhtml',1,'']]],
   ['gemmtranspose1xw_2eh',['GEMMTranspose1xW.h',['../_g_e_m_m_transpose1x_w_8h.xhtml',1,'']]],
   ['gemv_2ecl',['gemv.cl',['../gemv_8cl.xhtml',1,'']]],
+  ['globalpoolinglayer_2ecpp',['GlobalPoolingLayer.cpp',['../_g_l_e_s___c_o_m_p_u_t_e_2_global_pooling_layer_8cpp.xhtml',1,'']]],
   ['globalpoolinglayer_2ecpp',['GlobalPoolingLayer.cpp',['../_c_l_2_global_pooling_layer_8cpp.xhtml',1,'']]],
   ['globalpoolinglayer_2ecpp',['GlobalPoolingLayer.cpp',['../_n_e_o_n_2_global_pooling_layer_8cpp.xhtml',1,'']]],
-  ['globalpoolinglayer_2ecpp',['GlobalPoolingLayer.cpp',['../_g_l_e_s___c_o_m_p_u_t_e_2_global_pooling_layer_8cpp.xhtml',1,'']]],
   ['globals_2eh',['Globals.h',['../_globals_8h.xhtml',1,'']]],
   ['gputarget_2ecpp',['GPUTarget.cpp',['../_g_p_u_target_8cpp.xhtml',1,'']]],
   ['gputarget_2eh',['GPUTarget.h',['../_g_p_u_target_8h.xhtml',1,'']]],
@@ -111,7 +113,6 @@
   ['graph_5finception_5fv4_2ecpp',['graph_inception_v4.cpp',['../graph__inception__v4_8cpp.xhtml',1,'']]],
   ['graph_5flenet_2ecpp',['graph_lenet.cpp',['../graph__lenet_8cpp.xhtml',1,'']]],
   ['graph_5fmobilenet_2ecpp',['graph_mobilenet.cpp',['../graph__mobilenet_8cpp.xhtml',1,'']]],
-  ['graph_5fmobilenet_5fqasymm8_2ecpp',['graph_mobilenet_qasymm8.cpp',['../graph__mobilenet__qasymm8_8cpp.xhtml',1,'']]],
   ['graph_5fresnet50_2ecpp',['graph_resnet50.cpp',['../graph__resnet50_8cpp.xhtml',1,'']]],
   ['graph_5fresnext50_2ecpp',['graph_resnext50.cpp',['../graph__resnext50_8cpp.xhtml',1,'']]],
   ['graph_5fsqueezenet_2ecpp',['graph_squeezenet.cpp',['../graph__squeezenet_8cpp.xhtml',1,'']]],
@@ -123,5 +124,6 @@
   ['graphmanager_2eh',['GraphManager.h',['../_graph_manager_8h.xhtml',1,'']]],
   ['graphmutators_2eh',['GraphMutators.h',['../_graph_mutators_8h.xhtml',1,'']]],
   ['graphutils_2ecpp',['GraphUtils.cpp',['../_graph_utils_8cpp.xhtml',1,'']]],
-  ['graphutils_2eh',['GraphUtils.h',['../_graph_utils_8h.xhtml',1,'']]]
+  ['graphutils_2eh',['GraphUtils.h',['../_graph_utils_8h.xhtml',1,'']]],
+  ['groupedconvolutionmutator_2eh',['GroupedConvolutionMutator.h',['../_grouped_convolution_mutator_8h.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_8.js b/documentation/search/files_8.js
index 577b886..50bae85 100644
--- a/documentation/search/files_8.js
+++ b/documentation/search/files_8.js
@@ -21,27 +21,31 @@
   ['histogram_2ecl',['histogram.cl',['../histogram_8cl.xhtml',1,'']]],
   ['histogram_2ecpp',['Histogram.cpp',['../benchmark_2_c_l_2_histogram_8cpp.xhtml',1,'']]],
   ['histogram_2ecpp',['Histogram.cpp',['../benchmark_2_n_e_o_n_2_histogram_8cpp.xhtml',1,'']]],
+  ['histogram_2ecpp',['Histogram.cpp',['../validation_2_c_l_2_histogram_8cpp.xhtml',1,'']]],
   ['histogram_2ecpp',['Histogram.cpp',['../validation_2_n_e_o_n_2_histogram_8cpp.xhtml',1,'']]],
   ['histogram_2ecpp',['Histogram.cpp',['../validation_2reference_2_histogram_8cpp.xhtml',1,'']]],
-  ['histogram_2ecpp',['Histogram.cpp',['../validation_2_c_l_2_histogram_8cpp.xhtml',1,'']]],
   ['histogram_2eh',['Histogram.h',['../_histogram_8h.xhtml',1,'']]],
   ['hog_2ecl',['hog.cl',['../hog_8cl.xhtml',1,'']]],
   ['hog_2eh',['HOG.h',['../_h_o_g_8h.xhtml',1,'']]],
   ['hogaccessor_2eh',['HOGAccessor.h',['../_h_o_g_accessor_8h.xhtml',1,'']]],
-  ['hogdescriptor_2ecpp',['HOGDescriptor.cpp',['../benchmark_2_c_l_2_h_o_g_descriptor_8cpp.xhtml',1,'']]],
-  ['hogdescriptor_2ecpp',['HOGDescriptor.cpp',['../validation_2_n_e_o_n_2_h_o_g_descriptor_8cpp.xhtml',1,'']]],
   ['hogdescriptor_2ecpp',['HOGDescriptor.cpp',['../benchmark_2_n_e_o_n_2_h_o_g_descriptor_8cpp.xhtml',1,'']]],
   ['hogdescriptor_2ecpp',['HOGDescriptor.cpp',['../validation_2_c_l_2_h_o_g_descriptor_8cpp.xhtml',1,'']]],
+  ['hogdescriptor_2ecpp',['HOGDescriptor.cpp',['../validation_2_n_e_o_n_2_h_o_g_descriptor_8cpp.xhtml',1,'']]],
   ['hogdescriptor_2ecpp',['HOGDescriptor.cpp',['../validation_2reference_2_h_o_g_descriptor_8cpp.xhtml',1,'']]],
+  ['hogdescriptor_2ecpp',['HOGDescriptor.cpp',['../benchmark_2_c_l_2_h_o_g_descriptor_8cpp.xhtml',1,'']]],
   ['hogdescriptor_2eh',['HOGDescriptor.h',['../_h_o_g_descriptor_8h.xhtml',1,'']]],
-  ['hogdetector_2ecpp',['HOGDetector.cpp',['../_n_e_o_n_2_h_o_g_detector_8cpp.xhtml',1,'']]],
-  ['hogdetector_2ecpp',['HOGDetector.cpp',['../_c_l_2_h_o_g_detector_8cpp.xhtml',1,'']]],
-  ['hogdetector_2ecpp',['HOGDetector.cpp',['../reference_2_h_o_g_detector_8cpp.xhtml',1,'']]],
+  ['hogdetector_2ecpp',['HOGDetector.cpp',['../benchmark_2_c_l_2_h_o_g_detector_8cpp.xhtml',1,'']]],
+  ['hogdetector_2ecpp',['HOGDetector.cpp',['../validation_2reference_2_h_o_g_detector_8cpp.xhtml',1,'']]],
+  ['hogdetector_2ecpp',['HOGDetector.cpp',['../validation_2_c_l_2_h_o_g_detector_8cpp.xhtml',1,'']]],
+  ['hogdetector_2ecpp',['HOGDetector.cpp',['../benchmark_2_n_e_o_n_2_h_o_g_detector_8cpp.xhtml',1,'']]],
+  ['hogdetector_2ecpp',['HOGDetector.cpp',['../validation_2_n_e_o_n_2_h_o_g_detector_8cpp.xhtml',1,'']]],
   ['hogdetector_2eh',['HOGDetector.h',['../_h_o_g_detector_8h.xhtml',1,'']]],
   ['hoginfo_2eh',['HOGInfo.h',['../_h_o_g_info_8h.xhtml',1,'']]],
-  ['hogmultidetection_2ecpp',['HOGMultiDetection.cpp',['../_n_e_o_n_2_h_o_g_multi_detection_8cpp.xhtml',1,'']]],
-  ['hogmultidetection_2ecpp',['HOGMultiDetection.cpp',['../_c_l_2_h_o_g_multi_detection_8cpp.xhtml',1,'']]],
-  ['hogmultidetection_2ecpp',['HOGMultiDetection.cpp',['../reference_2_h_o_g_multi_detection_8cpp.xhtml',1,'']]],
+  ['hogmultidetection_2ecpp',['HOGMultiDetection.cpp',['../benchmark_2_c_l_2_h_o_g_multi_detection_8cpp.xhtml',1,'']]],
+  ['hogmultidetection_2ecpp',['HOGMultiDetection.cpp',['../validation_2_c_l_2_h_o_g_multi_detection_8cpp.xhtml',1,'']]],
+  ['hogmultidetection_2ecpp',['HOGMultiDetection.cpp',['../validation_2reference_2_h_o_g_multi_detection_8cpp.xhtml',1,'']]],
+  ['hogmultidetection_2ecpp',['HOGMultiDetection.cpp',['../benchmark_2_n_e_o_n_2_h_o_g_multi_detection_8cpp.xhtml',1,'']]],
+  ['hogmultidetection_2ecpp',['HOGMultiDetection.cpp',['../validation_2_n_e_o_n_2_h_o_g_multi_detection_8cpp.xhtml',1,'']]],
   ['hogmultidetection_2eh',['HOGMultiDetection.h',['../_h_o_g_multi_detection_8h.xhtml',1,'']]],
   ['hwc_2ehpp',['hwc.hpp',['../hwc_8hpp.xhtml',1,'']]],
   ['hwc_5fnames_2ehpp',['hwc_names.hpp',['../hwc__names_8hpp.xhtml',1,'']]]
diff --git a/documentation/search/files_9.js b/documentation/search/files_9.js
index 49332fb..769b47d 100644
--- a/documentation/search/files_9.js
+++ b/documentation/search/files_9.js
@@ -46,7 +46,9 @@
   ['im2col_2ecl',['im2col.cl',['../im2col_8cl.xhtml',1,'']]],
   ['im2col_2ecpp',['Im2Col.cpp',['../reference_2_im2_col_8cpp.xhtml',1,'']]],
   ['im2col_2ecpp',['Im2Col.cpp',['../_n_e_o_n_2_im2_col_8cpp.xhtml',1,'']]],
+  ['im2col_2ecpp',['Im2Col.cpp',['../_c_l_2_im2_col_8cpp.xhtml',1,'']]],
   ['im2col_2eh',['Im2Col.h',['../_im2_col_8h.xhtml',1,'']]],
+  ['imageloader_2eh',['ImageLoader.h',['../_image_loader_8h.xhtml',1,'']]],
   ['imemorygroup_2eh',['IMemoryGroup.h',['../_i_memory_group_8h.xhtml',1,'']]],
   ['imemorymanager_2eh',['IMemoryManager.h',['../_i_memory_manager_8h.xhtml',1,'']]],
   ['imemorypool_2eh',['IMemoryPool.h',['../_i_memory_pool_8h.xhtml',1,'']]],
@@ -67,11 +69,11 @@
   ['instrumentsstats_2ecpp',['InstrumentsStats.cpp',['../_instruments_stats_8cpp.xhtml',1,'']]],
   ['instrumentsstats_2eh',['InstrumentsStats.h',['../_instruments_stats_8h.xhtml',1,'']]],
   ['integral_5fimage_2ecl',['integral_image.cl',['../integral__image_8cl.xhtml',1,'']]],
-  ['integralimage_2ecpp',['IntegralImage.cpp',['../benchmark_2_c_l_2_integral_image_8cpp.xhtml',1,'']]],
   ['integralimage_2ecpp',['IntegralImage.cpp',['../benchmark_2_n_e_o_n_2_integral_image_8cpp.xhtml',1,'']]],
   ['integralimage_2ecpp',['IntegralImage.cpp',['../validation_2reference_2_integral_image_8cpp.xhtml',1,'']]],
-  ['integralimage_2ecpp',['IntegralImage.cpp',['../validation_2_c_l_2_integral_image_8cpp.xhtml',1,'']]],
   ['integralimage_2ecpp',['IntegralImage.cpp',['../validation_2_n_e_o_n_2_integral_image_8cpp.xhtml',1,'']]],
+  ['integralimage_2ecpp',['IntegralImage.cpp',['../validation_2_c_l_2_integral_image_8cpp.xhtml',1,'']]],
+  ['integralimage_2ecpp',['IntegralImage.cpp',['../benchmark_2_c_l_2_integral_image_8cpp.xhtml',1,'']]],
   ['integralimage_2eh',['IntegralImage.h',['../_integral_image_8h.xhtml',1,'']]],
   ['intrinsics_2eh',['intrinsics.h',['../intrinsics_8h.xhtml',1,'']]],
   ['ipoolmanager_2eh',['IPoolManager.h',['../_i_pool_manager_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_b.js b/documentation/search/files_b.js
index 3d692af..dde7627 100644
--- a/documentation/search/files_b.js
+++ b/documentation/search/files_b.js
@@ -7,18 +7,27 @@
   ['l2normalizelayer_2ecpp',['L2NormalizeLayer.cpp',['../validation_2_n_e_o_n_2_l2_normalize_layer_8cpp.xhtml',1,'']]],
   ['l2normalizelayer_2ecpp',['L2NormalizeLayer.cpp',['../validation_2reference_2_l2_normalize_layer_8cpp.xhtml',1,'']]],
   ['l2normalizelayer_2eh',['L2NormalizeLayer.h',['../_l2_normalize_layer_8h.xhtml',1,'']]],
+  ['laplacianpyramid_2ecpp',['LaplacianPyramid.cpp',['../benchmark_2_c_l_2_laplacian_pyramid_8cpp.xhtml',1,'']]],
+  ['laplacianpyramid_2ecpp',['LaplacianPyramid.cpp',['../benchmark_2_n_e_o_n_2_laplacian_pyramid_8cpp.xhtml',1,'']]],
+  ['laplacianpyramid_2ecpp',['LaplacianPyramid.cpp',['../validation_2_c_l_2_laplacian_pyramid_8cpp.xhtml',1,'']]],
+  ['laplacianpyramid_2ecpp',['LaplacianPyramid.cpp',['../validation_2_n_e_o_n_2_laplacian_pyramid_8cpp.xhtml',1,'']]],
+  ['laplacianpyramid_2ecpp',['LaplacianPyramid.cpp',['../validation_2reference_2_laplacian_pyramid_8cpp.xhtml',1,'']]],
+  ['laplacianpyramid_2eh',['LaplacianPyramid.h',['../_laplacian_pyramid_8h.xhtml',1,'']]],
+  ['laplacianreconstruct_2ecpp',['LaplacianReconstruct.cpp',['../benchmark_2_c_l_2_laplacian_reconstruct_8cpp.xhtml',1,'']]],
+  ['laplacianreconstruct_2ecpp',['LaplacianReconstruct.cpp',['../benchmark_2_n_e_o_n_2_laplacian_reconstruct_8cpp.xhtml',1,'']]],
+  ['laplacianreconstruct_2ecpp',['LaplacianReconstruct.cpp',['../validation_2_c_l_2_laplacian_reconstruct_8cpp.xhtml',1,'']]],
+  ['laplacianreconstruct_2ecpp',['LaplacianReconstruct.cpp',['../validation_2_n_e_o_n_2_laplacian_reconstruct_8cpp.xhtml',1,'']]],
+  ['laplacianreconstruct_2ecpp',['LaplacianReconstruct.cpp',['../validation_2reference_2_laplacian_reconstruct_8cpp.xhtml',1,'']]],
+  ['laplacianreconstruct_2eh',['LaplacianReconstruct.h',['../_laplacian_reconstruct_8h.xhtml',1,'']]],
   ['layers_2eh',['Layers.h',['../_layers_8h.xhtml',1,'']]],
-  ['lenet5_2ecpp',['LeNet5.cpp',['../benchmark_2_c_l_2_s_y_s_t_e_m_2_le_net5_8cpp.xhtml',1,'']]],
-  ['lenet5_2ecpp',['LeNet5.cpp',['../benchmark_2_n_e_o_n_2_s_y_s_t_e_m_2_le_net5_8cpp.xhtml',1,'']]],
-  ['lenet5_2ecpp',['LeNet5.cpp',['../validation_2_c_l_2_s_y_s_t_e_m_2_le_net5_8cpp.xhtml',1,'']]],
-  ['lenet5_2ecpp',['LeNet5.cpp',['../validation_2_n_e_o_n_2_s_y_s_t_e_m_2_le_net5_8cpp.xhtml',1,'']]],
-  ['lenet5network_2eh',['LeNet5Network.h',['../_le_net5_network_8h.xhtml',1,'']]],
   ['listoption_2eh',['ListOption.h',['../_list_option_8h.xhtml',1,'']]],
   ['load_2eh',['load.h',['../load_8h.xhtml',1,'']]],
+  ['locallyconnected_2ecpp',['LocallyConnected.cpp',['../reference_2_locally_connected_8cpp.xhtml',1,'']]],
   ['locallyconnected_2ecpp',['LocallyConnected.cpp',['../_c_l_2_locally_connected_8cpp.xhtml',1,'']]],
   ['locallyconnected_2ecpp',['LocallyConnected.cpp',['../_n_e_o_n_2_locally_connected_8cpp.xhtml',1,'']]],
-  ['locallyconnected_2ecpp',['LocallyConnected.cpp',['../reference_2_locally_connected_8cpp.xhtml',1,'']]],
   ['locallyconnected_2eh',['LocallyConnected.h',['../_locally_connected_8h.xhtml',1,'']]],
+  ['locallyconnectedlayer_2ecpp',['LocallyConnectedLayer.cpp',['../_n_e_o_n_2_locally_connected_layer_8cpp.xhtml',1,'']]],
+  ['locallyconnectedlayer_2ecpp',['LocallyConnectedLayer.cpp',['../_c_l_2_locally_connected_layer_8cpp.xhtml',1,'']]],
   ['log_2eh',['Log.h',['../_log_8h.xhtml',1,'']]],
   ['logger_2eh',['Logger.h',['../graph_2_logger_8h.xhtml',1,'']]],
   ['logger_2eh',['Logger.h',['../core_2utils_2logging_2_logger_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_c.js b/documentation/search/files_c.js
index bb78192..992ea68 100644
--- a/documentation/search/files_c.js
+++ b/documentation/search/files_c.js
@@ -21,8 +21,8 @@
   ['meanstddev_2ecpp',['MeanStdDev.cpp',['../validation_2reference_2_mean_std_dev_8cpp.xhtml',1,'']]],
   ['meanstddev_2eh',['MeanStdDev.h',['../_mean_std_dev_8h.xhtml',1,'']]],
   ['measurement_2eh',['Measurement.h',['../_measurement_8h.xhtml',1,'']]],
-  ['median3x3_2ecpp',['Median3x3.cpp',['../validation_2reference_2_median3x3_8cpp.xhtml',1,'']]],
   ['median3x3_2ecpp',['Median3x3.cpp',['../validation_2_n_e_o_n_2_median3x3_8cpp.xhtml',1,'']]],
+  ['median3x3_2ecpp',['Median3x3.cpp',['../validation_2reference_2_median3x3_8cpp.xhtml',1,'']]],
   ['median3x3_2ecpp',['Median3x3.cpp',['../benchmark_2_c_l_2_median3x3_8cpp.xhtml',1,'']]],
   ['median3x3_2ecpp',['Median3x3.cpp',['../benchmark_2_n_e_o_n_2_median3x3_8cpp.xhtml',1,'']]],
   ['median3x3_2ecpp',['Median3x3.cpp',['../validation_2_c_l_2_median3x3_8cpp.xhtml',1,'']]],
@@ -30,24 +30,21 @@
   ['memory_2eh',['Memory.h',['../_memory_8h.xhtml',1,'']]],
   ['memorygroup_2eh',['MemoryGroup.h',['../_memory_group_8h.xhtml',1,'']]],
   ['memorygroupbase_2eh',['MemoryGroupBase.h',['../_memory_group_base_8h.xhtml',1,'']]],
-  ['memorymanager_2ecpp',['MemoryManager.cpp',['../_g_l_e_s___c_o_m_p_u_t_e_2_u_n_i_t_2_memory_manager_8cpp.xhtml',1,'']]],
   ['memorymanager_2ecpp',['MemoryManager.cpp',['../_n_e_o_n_2_u_n_i_t_2_memory_manager_8cpp.xhtml',1,'']]],
   ['memorymanager_2ecpp',['MemoryManager.cpp',['../_c_l_2_u_n_i_t_2_memory_manager_8cpp.xhtml',1,'']]],
+  ['memorymanager_2ecpp',['MemoryManager.cpp',['../_g_l_e_s___c_o_m_p_u_t_e_2_u_n_i_t_2_memory_manager_8cpp.xhtml',1,'']]],
   ['memorymanagerondemand_2eh',['MemoryManagerOnDemand.h',['../_memory_manager_on_demand_8h.xhtml',1,'']]],
   ['memoryregion_2eh',['MemoryRegion.h',['../_memory_region_8h.xhtml',1,'']]],
+  ['midgardtuner_2eh',['MidgardTuner.h',['../_midgard_tuner_8h.xhtml',1,'']]],
   ['min_2eh',['min.h',['../min_8h.xhtml',1,'']]],
   ['minmax_5flayer_2ecl',['minmax_layer.cl',['../minmax__layer_8cl.xhtml',1,'']]],
   ['minmaxloc_2ecl',['minmaxloc.cl',['../minmaxloc_8cl.xhtml',1,'']]],
+  ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../validation_2reference_2_min_max_location_8cpp.xhtml',1,'']]],
+  ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../validation_2_c_l_2_min_max_location_8cpp.xhtml',1,'']]],
   ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../benchmark_2_c_l_2_min_max_location_8cpp.xhtml',1,'']]],
   ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../benchmark_2_n_e_o_n_2_min_max_location_8cpp.xhtml',1,'']]],
-  ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../validation_2reference_2_min_max_location_8cpp.xhtml',1,'']]],
   ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../validation_2_n_e_o_n_2_min_max_location_8cpp.xhtml',1,'']]],
-  ['minmaxlocation_2ecpp',['MinMaxLocation.cpp',['../validation_2_c_l_2_min_max_location_8cpp.xhtml',1,'']]],
   ['minmaxlocation_2eh',['MinMaxLocation.h',['../_min_max_location_8h.xhtml',1,'']]],
-  ['mobilenet_2ecpp',['MobileNet.cpp',['../_mobile_net_8cpp.xhtml',1,'']]],
-  ['mobilenetnetwork_2eh',['MobileNetNetwork.h',['../_mobile_net_network_8h.xhtml',1,'']]],
-  ['mobilenetv1_2ecpp',['MobileNetV1.cpp',['../_mobile_net_v1_8cpp.xhtml',1,'']]],
-  ['mobilenetv1network_2eh',['MobileNetV1Network.h',['../_mobile_net_v1_network_8h.xhtml',1,'']]],
   ['multihog_2eh',['MultiHOG.h',['../_multi_h_o_g_8h.xhtml',1,'']]],
   ['multiimage_2eh',['MultiImage.h',['../_multi_image_8h.xhtml',1,'']]],
   ['multiimageinfo_2eh',['MultiImageInfo.h',['../_multi_image_info_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_d.js b/documentation/search/files_d.js
index 1870f47..ca2546d 100644
--- a/documentation/search/files_d.js
+++ b/documentation/search/files_d.js
@@ -36,11 +36,14 @@
   ['necolorconvert_2eh',['NEColorConvert.h',['../_n_e_color_convert_8h.xhtml',1,'']]],
   ['necolorconverthelper_2einl',['NEColorConvertHelper.inl',['../_n_e_color_convert_helper_8inl.xhtml',1,'']]],
   ['necolorconvertkernel_2eh',['NEColorConvertKernel.h',['../_n_e_color_convert_kernel_8h.xhtml',1,'']]],
+  ['neconcatenatelayer_2eh',['NEConcatenateLayer.h',['../_n_e_concatenate_layer_8h.xhtml',1,'']]],
   ['neconvertfullyconnectedweights_2eh',['NEConvertFullyConnectedWeights.h',['../_n_e_convert_fully_connected_weights_8h.xhtml',1,'']]],
   ['neconvertfullyconnectedweightskernel_2eh',['NEConvertFullyConnectedWeightsKernel.h',['../_n_e_convert_fully_connected_weights_kernel_8h.xhtml',1,'']]],
   ['neconvolution_2eh',['NEConvolution.h',['../_n_e_convolution_8h.xhtml',1,'']]],
   ['neconvolutionkernel_2eh',['NEConvolutionKernel.h',['../_n_e_convolution_kernel_8h.xhtml',1,'']]],
   ['neconvolutionlayer_2eh',['NEConvolutionLayer.h',['../_n_e_convolution_layer_8h.xhtml',1,'']]],
+  ['necopy_2eh',['NECopy.h',['../_n_e_copy_8h.xhtml',1,'']]],
+  ['necopykernel_2eh',['NECopyKernel.h',['../_n_e_copy_kernel_8h.xhtml',1,'']]],
   ['necumulativedistributionkernel_2eh',['NECumulativeDistributionKernel.h',['../_n_e_cumulative_distribution_kernel_8h.xhtml',1,'']]],
   ['nedeconvolutionlayer_2eh',['NEDeconvolutionLayer.h',['../_n_e_deconvolution_layer_8h.xhtml',1,'']]],
   ['nedepthconcatenatelayer_2eh',['NEDepthConcatenateLayer.h',['../_n_e_depth_concatenate_layer_8h.xhtml',1,'']]],
@@ -90,9 +93,11 @@
   ['negaussianpyramidkernel_2eh',['NEGaussianPyramidKernel.h',['../_n_e_gaussian_pyramid_kernel_8h.xhtml',1,'']]],
   ['negemm_2eh',['NEGEMM.h',['../_n_e_g_e_m_m_8h.xhtml',1,'']]],
   ['negemmassemblybasekernel_2eh',['NEGEMMAssemblyBaseKernel.h',['../_n_e_g_e_m_m_assembly_base_kernel_8h.xhtml',1,'']]],
+  ['negemmassemblydispatch_2eh',['NEGEMMAssemblyDispatch.h',['../_n_e_g_e_m_m_assembly_dispatch_8h.xhtml',1,'']]],
   ['negemmconvolutionlayer_2eh',['NEGEMMConvolutionLayer.h',['../_n_e_g_e_m_m_convolution_layer_8h.xhtml',1,'']]],
   ['negemminterleave4x4_2eh',['NEGEMMInterleave4x4.h',['../_n_e_g_e_m_m_interleave4x4_8h.xhtml',1,'']]],
   ['negemminterleave4x4kernel_2eh',['NEGEMMInterleave4x4Kernel.h',['../_n_e_g_e_m_m_interleave4x4_kernel_8h.xhtml',1,'']]],
+  ['negemminterleavedwrapper_2eh',['NEGEMMInterleavedWrapper.h',['../_n_e_g_e_m_m_interleaved_wrapper_8h.xhtml',1,'']]],
   ['negemmlowpassemblymatrixmultiplycore_2eh',['NEGEMMLowpAssemblyMatrixMultiplyCore.h',['../_n_e_g_e_m_m_lowp_assembly_matrix_multiply_core_8h.xhtml',1,'']]],
   ['negemmlowpmatrixmultiplycore_2eh',['NEGEMMLowpMatrixMultiplyCore.h',['../_n_e_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml',1,'']]],
   ['negemmlowpmatrixmultiplykernel_2eh',['NEGEMMLowpMatrixMultiplyKernel.h',['../_n_e_g_e_m_m_lowp_matrix_multiply_kernel_8h.xhtml',1,'']]],
@@ -169,6 +174,7 @@
   ['neremapkernel_2eh',['NERemapKernel.h',['../_n_e_remap_kernel_8h.xhtml',1,'']]],
   ['nereshapelayer_2eh',['NEReshapeLayer.h',['../_n_e_reshape_layer_8h.xhtml',1,'']]],
   ['nereshapelayerkernel_2eh',['NEReshapeLayerKernel.h',['../_n_e_reshape_layer_kernel_8h.xhtml',1,'']]],
+  ['nernnlayer_2eh',['NERNNLayer.h',['../_n_e_r_n_n_layer_8h.xhtml',1,'']]],
   ['neroipoolinglayer_2eh',['NEROIPoolingLayer.h',['../_n_e_r_o_i_pooling_layer_8h.xhtml',1,'']]],
   ['neroipoolinglayerkernel_2eh',['NEROIPoolingLayerKernel.h',['../_n_e_r_o_i_pooling_layer_kernel_8h.xhtml',1,'']]],
   ['nescale_2eh',['NEScale.h',['../_n_e_scale_8h.xhtml',1,'']]],
@@ -176,6 +182,7 @@
   ['nescharr3x3_2eh',['NEScharr3x3.h',['../_n_e_scharr3x3_8h.xhtml',1,'']]],
   ['nescharr3x3kernel_2eh',['NEScharr3x3Kernel.h',['../_n_e_scharr3x3_kernel_8h.xhtml',1,'']]],
   ['nescheduler_2eh',['NEScheduler.h',['../_n_e_scheduler_8h.xhtml',1,'']]],
+  ['nesimpleassemblyfunction_2eh',['NESimpleAssemblyFunction.h',['../_n_e_simple_assembly_function_8h.xhtml',1,'']]],
   ['nesobel3x3_2eh',['NESobel3x3.h',['../_n_e_sobel3x3_8h.xhtml',1,'']]],
   ['nesobel3x3kernel_2eh',['NESobel3x3Kernel.h',['../_n_e_sobel3x3_kernel_8h.xhtml',1,'']]],
   ['nesobel5x5_2eh',['NESobel5x5.h',['../_n_e_sobel5x5_8h.xhtml',1,'']]],
@@ -196,32 +203,35 @@
   ['newarpkernel_2eh',['NEWarpKernel.h',['../_n_e_warp_kernel_8h.xhtml',1,'']]],
   ['newarpperspective_2eh',['NEWarpPerspective.h',['../_n_e_warp_perspective_8h.xhtml',1,'']]],
   ['neweightsreshapekernel_2eh',['NEWeightsReshapeKernel.h',['../_n_e_weights_reshape_kernel_8h.xhtml',1,'']]],
+  ['newidthconcatenatelayer_2eh',['NEWidthConcatenateLayer.h',['../_n_e_width_concatenate_layer_8h.xhtml',1,'']]],
+  ['newidthconcatenatelayerkernel_2eh',['NEWidthConcatenateLayerKernel.h',['../_n_e_width_concatenate_layer_kernel_8h.xhtml',1,'']]],
   ['newinogradconvolutionlayer_2eh',['NEWinogradConvolutionLayer.h',['../_n_e_winograd_convolution_layer_8h.xhtml',1,'']]],
   ['newinogradconvolutionlayerkernel_2eh',['NEWinogradConvolutionLayerKernel.h',['../_n_e_winograd_convolution_layer_kernel_8h.xhtml',1,'']]],
+  ['nodeexecutionmethodmutator_2eh',['NodeExecutionMethodMutator.h',['../_node_execution_method_mutator_8h.xhtml',1,'']]],
   ['nodefusionmutator_2eh',['NodeFusionMutator.h',['../_node_fusion_mutator_8h.xhtml',1,'']]],
   ['nodes_2eh',['Nodes.h',['../_nodes_8h.xhtml',1,'']]],
   ['nodesfwd_2eh',['NodesFwd.h',['../_nodes_fwd_8h.xhtml',1,'']]],
   ['non_5flinear_5ffilter3x3_2ecl',['non_linear_filter3x3.cl',['../non__linear__filter3x3_8cl.xhtml',1,'']]],
   ['non_5flinear_5ffilter5x5_2ecl',['non_linear_filter5x5.cl',['../non__linear__filter5x5_8cl.xhtml',1,'']]],
   ['non_5flinear_5ffilter_5fhelpers_2eh',['non_linear_filter_helpers.h',['../non__linear__filter__helpers_8h.xhtml',1,'']]],
-  ['nonlinearfilter_2ecpp',['NonLinearFilter.cpp',['../_n_e_o_n_2_non_linear_filter_8cpp.xhtml',1,'']]],
   ['nonlinearfilter_2ecpp',['NonLinearFilter.cpp',['../_c_l_2_non_linear_filter_8cpp.xhtml',1,'']]],
+  ['nonlinearfilter_2ecpp',['NonLinearFilter.cpp',['../_n_e_o_n_2_non_linear_filter_8cpp.xhtml',1,'']]],
   ['nonlinearfilter_2ecpp',['NonLinearFilter.cpp',['../reference_2_non_linear_filter_8cpp.xhtml',1,'']]],
   ['nonlinearfilter_2eh',['NonLinearFilter.h',['../_non_linear_filter_8h.xhtml',1,'']]],
   ['nonmax_2ecl',['nonmax.cl',['../nonmax_8cl.xhtml',1,'']]],
   ['nonmaximasuppression_2ecpp',['NonMaximaSuppression.cpp',['../_non_maxima_suppression_8cpp.xhtml',1,'']]],
   ['nonmaximasuppression_2eh',['NonMaximaSuppression.h',['../_non_maxima_suppression_8h.xhtml',1,'']]],
   ['normalization_5flayer_2ecl',['normalization_layer.cl',['../normalization__layer_8cl.xhtml',1,'']]],
-  ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_normalization_layer_8cpp.xhtml',1,'']]],
   ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../validation_2_c_l_2_normalization_layer_8cpp.xhtml',1,'']]],
-  ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../benchmark_2_c_l_2_normalization_layer_8cpp.xhtml',1,'']]],
-  ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../validation_2_n_e_o_n_2_normalization_layer_8cpp.xhtml',1,'']]],
-  ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../benchmark_2_n_e_o_n_2_normalization_layer_8cpp.xhtml',1,'']]],
   ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../validation_2reference_2_normalization_layer_8cpp.xhtml',1,'']]],
+  ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_normalization_layer_8cpp.xhtml',1,'']]],
+  ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../benchmark_2_c_l_2_normalization_layer_8cpp.xhtml',1,'']]],
+  ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../benchmark_2_n_e_o_n_2_normalization_layer_8cpp.xhtml',1,'']]],
+  ['normalizationlayer_2ecpp',['NormalizationLayer.cpp',['../validation_2_n_e_o_n_2_normalization_layer_8cpp.xhtml',1,'']]],
   ['normalizationlayer_2eh',['NormalizationLayer.h',['../_normalization_layer_8h.xhtml',1,'']]],
   ['normalizationlayernode_2eh',['NormalizationLayerNode.h',['../_normalization_layer_node_8h.xhtml',1,'']]],
-  ['normalizeplanaryuvlayer_2ecpp',['NormalizePlanarYUVLayer.cpp',['../validation_2reference_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'']]],
-  ['normalizeplanaryuvlayer_2ecpp',['NormalizePlanarYUVLayer.cpp',['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'']]],
   ['normalizeplanaryuvlayer_2ecpp',['NormalizePlanarYUVLayer.cpp',['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'']]],
+  ['normalizeplanaryuvlayer_2ecpp',['NormalizePlanarYUVLayer.cpp',['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'']]],
+  ['normalizeplanaryuvlayer_2ecpp',['NormalizePlanarYUVLayer.cpp',['../validation_2reference_2_normalize_planar_y_u_v_layer_8cpp.xhtml',1,'']]],
   ['normalizeplanaryuvlayer_2eh',['NormalizePlanarYUVLayer.h',['../_normalize_planar_y_u_v_layer_8h.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_e.js b/documentation/search/files_e.js
index c5a2bf0..72c6b40 100644
--- a/documentation/search/files_e.js
+++ b/documentation/search/files_e.js
@@ -10,11 +10,12 @@
   ['opencltimer_2eh',['OpenCLTimer.h',['../_open_c_l_timer_8h.xhtml',1,'']]],
   ['opengles_2eh',['OpenGLES.h',['../_open_g_l_e_s_8h.xhtml',1,'']]],
   ['optical_5fflow_5fpyramid_5flk_2ecl',['optical_flow_pyramid_lk.cl',['../optical__flow__pyramid__lk_8cl.xhtml',1,'']]],
-  ['opticalflow_2ecpp',['OpticalFlow.cpp',['../reference_2_optical_flow_8cpp.xhtml',1,'']]],
-  ['opticalflow_2ecpp',['OpticalFlow.cpp',['../_c_l_2_optical_flow_8cpp.xhtml',1,'']]],
-  ['opticalflow_2ecpp',['OpticalFlow.cpp',['../_n_e_o_n_2_optical_flow_8cpp.xhtml',1,'']]],
+  ['opticalflow_2ecpp',['OpticalFlow.cpp',['../benchmark_2_n_e_o_n_2_optical_flow_8cpp.xhtml',1,'']]],
+  ['opticalflow_2ecpp',['OpticalFlow.cpp',['../validation_2_n_e_o_n_2_optical_flow_8cpp.xhtml',1,'']]],
+  ['opticalflow_2ecpp',['OpticalFlow.cpp',['../benchmark_2_c_l_2_optical_flow_8cpp.xhtml',1,'']]],
+  ['opticalflow_2ecpp',['OpticalFlow.cpp',['../validation_2_c_l_2_optical_flow_8cpp.xhtml',1,'']]],
+  ['opticalflow_2ecpp',['OpticalFlow.cpp',['../validation_2reference_2_optical_flow_8cpp.xhtml',1,'']]],
   ['opticalflow_2eh',['OpticalFlow.h',['../_optical_flow_8h.xhtml',1,'']]],
-  ['option_2ecpp',['Option.cpp',['../_option_8cpp.xhtml',1,'']]],
   ['option_2eh',['Option.h',['../_option_8h.xhtml',1,'']]],
   ['outputnode_2eh',['OutputNode.h',['../_output_node_8h.xhtml',1,'']]]
 ];
diff --git a/documentation/search/files_f.js b/documentation/search/files_f.js
index 2280167..08eec24 100644
--- a/documentation/search/files_f.js
+++ b/documentation/search/files_f.js
@@ -8,18 +8,19 @@
   ['permute_2ecpp',['Permute.cpp',['../_n_e_o_n_2_permute_8cpp.xhtml',1,'']]],
   ['permute_2ecpp',['Permute.cpp',['../reference_2_permute_8cpp.xhtml',1,'']]],
   ['permute_2eh',['Permute.h',['../_permute_8h.xhtml',1,'']]],
-  ['phase_2ecpp',['Phase.cpp',['../validation_2_c_l_2_phase_8cpp.xhtml',1,'']]],
+  ['permutelayernode_2eh',['PermuteLayerNode.h',['../_permute_layer_node_8h.xhtml',1,'']]],
   ['phase_2ecpp',['Phase.cpp',['../benchmark_2_n_e_o_n_2_phase_8cpp.xhtml',1,'']]],
-  ['phase_2ecpp',['Phase.cpp',['../validation_2reference_2_phase_8cpp.xhtml',1,'']]],
-  ['phase_2ecpp',['Phase.cpp',['../validation_2_n_e_o_n_2_phase_8cpp.xhtml',1,'']]],
   ['phase_2ecpp',['Phase.cpp',['../benchmark_2_c_l_2_phase_8cpp.xhtml',1,'']]],
+  ['phase_2ecpp',['Phase.cpp',['../validation_2_c_l_2_phase_8cpp.xhtml',1,'']]],
+  ['phase_2ecpp',['Phase.cpp',['../validation_2_n_e_o_n_2_phase_8cpp.xhtml',1,'']]],
+  ['phase_2ecpp',['Phase.cpp',['../validation_2reference_2_phase_8cpp.xhtml',1,'']]],
   ['phase_2eh',['Phase.h',['../_phase_8h.xhtml',1,'']]],
   ['pixelvalue_2eh',['PixelValue.h',['../_pixel_value_8h.xhtml',1,'']]],
   ['pixelwise_5fmul_5ffloat_2ecl',['pixelwise_mul_float.cl',['../pixelwise__mul__float_8cl.xhtml',1,'']]],
   ['pixelwise_5fmul_5fint_2ecl',['pixelwise_mul_int.cl',['../pixelwise__mul__int_8cl.xhtml',1,'']]],
-  ['pixelwisemultiplication_2ecpp',['PixelWiseMultiplication.cpp',['../_c_l_2_pixel_wise_multiplication_8cpp.xhtml',1,'']]],
-  ['pixelwisemultiplication_2ecpp',['PixelWiseMultiplication.cpp',['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml',1,'']]],
   ['pixelwisemultiplication_2ecpp',['PixelWiseMultiplication.cpp',['../reference_2_pixel_wise_multiplication_8cpp.xhtml',1,'']]],
+  ['pixelwisemultiplication_2ecpp',['PixelWiseMultiplication.cpp',['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml',1,'']]],
+  ['pixelwisemultiplication_2ecpp',['PixelWiseMultiplication.cpp',['../_c_l_2_pixel_wise_multiplication_8cpp.xhtml',1,'']]],
   ['pixelwisemultiplication_2eh',['PixelWiseMultiplication.h',['../_pixel_wise_multiplication_8h.xhtml',1,'']]],
   ['pmu_2ecpp',['PMU.cpp',['../_p_m_u_8cpp.xhtml',1,'']]],
   ['pmu_2eh',['PMU.h',['../_p_m_u_8h.xhtml',1,'']]],
@@ -27,12 +28,12 @@
   ['pmucounter_2eh',['PMUCounter.h',['../_p_m_u_counter_8h.xhtml',1,'']]],
   ['pooling_5flayer_2ecl',['pooling_layer.cl',['../pooling__layer_8cl.xhtml',1,'']]],
   ['pooling_5flayer_5fquantized_2ecl',['pooling_layer_quantized.cl',['../pooling__layer__quantized_8cl.xhtml',1,'']]],
-  ['poolinglayer_2ecpp',['PoolingLayer.cpp',['../benchmark_2_c_l_2_pooling_layer_8cpp.xhtml',1,'']]],
-  ['poolinglayer_2ecpp',['PoolingLayer.cpp',['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_pooling_layer_8cpp.xhtml',1,'']]],
   ['poolinglayer_2ecpp',['PoolingLayer.cpp',['../validation_2_c_l_2_pooling_layer_8cpp.xhtml',1,'']]],
+  ['poolinglayer_2ecpp',['PoolingLayer.cpp',['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_pooling_layer_8cpp.xhtml',1,'']]],
+  ['poolinglayer_2ecpp',['PoolingLayer.cpp',['../benchmark_2_c_l_2_pooling_layer_8cpp.xhtml',1,'']]],
   ['poolinglayer_2ecpp',['PoolingLayer.cpp',['../benchmark_2_n_e_o_n_2_pooling_layer_8cpp.xhtml',1,'']]],
-  ['poolinglayer_2ecpp',['PoolingLayer.cpp',['../validation_2_n_e_o_n_2_pooling_layer_8cpp.xhtml',1,'']]],
   ['poolinglayer_2ecpp',['PoolingLayer.cpp',['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_pooling_layer_8cpp.xhtml',1,'']]],
+  ['poolinglayer_2ecpp',['PoolingLayer.cpp',['../validation_2_n_e_o_n_2_pooling_layer_8cpp.xhtml',1,'']]],
   ['poolinglayer_2ecpp',['PoolingLayer.cpp',['../validation_2reference_2_pooling_layer_8cpp.xhtml',1,'']]],
   ['poolinglayer_2eh',['PoolingLayer.h',['../_pooling_layer_8h.xhtml',1,'']]],
   ['poolinglayernode_2eh',['PoolingLayerNode.h',['../_pooling_layer_node_8h.xhtml',1,'']]],
@@ -43,8 +44,8 @@
   ['printer_2eh',['Printer.h',['../_printer_8h.xhtml',1,'']]],
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index 5dc3c07..a75768f 100644
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index c8c8df3..e43b8e4 100644
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+  ['winogradinfo',['WinogradInfo',['../structarm__compute_1_1_winograd_info.xhtml#af8cfb6ab1e028484d875995bf6c224e3',1,'arm_compute::WinogradInfo']]]
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diff --git a/documentation/search/functions_18.js b/documentation/search/functions_18.js
index 453bef8..1897a8c 100644
--- a/documentation/search/functions_18.js
+++ b/documentation/search/functions_18.js
@@ -4,5 +4,6 @@
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   ['yuyv422_5fto_5fnv12_5fbt709',['YUYV422_to_NV12_bt709',['../color__convert_8cl.xhtml#aa4d458afddfb19f170cb27a9cc934069',1,'color_convert.cl']]],
   ['yuyv422_5fto_5frgb888_5fbt709',['YUYV422_to_RGB888_bt709',['../color__convert_8cl.xhtml#a694c56c3d1dd37a2773e650ab8e410b2',1,'color_convert.cl']]],
-  ['yuyv422_5fto_5frgba8888_5fbt709',['YUYV422_to_RGBA8888_bt709',['../color__convert_8cl.xhtml#ab0be9d15196e78ed50afdbfa93a11662',1,'color_convert.cl']]]
+  ['yuyv422_5fto_5frgba8888_5fbt709',['YUYV422_to_RGBA8888_bt709',['../color__convert_8cl.xhtml#ab0be9d15196e78ed50afdbfa93a11662',1,'color_convert.cl']]],
+  ['yuyv_5fto_5frgb_5fcalculation',['yuyv_to_rgb_calculation',['../namespacearm__compute_1_1test_1_1colorconvert__helper_1_1detail.xhtml#a2a36a93e164b484404fe908cefd6099a',1,'arm_compute::test::colorconvert_helper::detail']]]
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diff --git a/documentation/search/functions_19.js b/documentation/search/functions_19.js
index e4bc555..1a4ad59 100644
--- a/documentation/search/functions_19.js
+++ b/documentation/search/functions_19.js
@@ -1,6 +1,7 @@
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diff --git a/documentation/search/functions_1a.js b/documentation/search/functions_1a.js
index 89cb89e..b1613b2 100644
--- a/documentation/search/functions_1a.js
+++ b/documentation/search/functions_1a.js
@@ -8,6 +8,7 @@
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+  ['_7eclarithmeticdivisionkernel',['~CLArithmeticDivisionKernel',['../classarm__compute_1_1_c_l_arithmetic_division_kernel.xhtml#aaafc0a9997bc9056b7e2380295845b08',1,'arm_compute::CLArithmeticDivisionKernel']]],
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@@ -41,6 +42,7 @@
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+  ['_7eclmeanstddev',['~CLMeanStdDev',['../classarm__compute_1_1_c_l_mean_std_dev.xhtml#af47c26d33b75335dd72b535607514a45',1,'arm_compute::CLMeanStdDev']]],
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@@ -59,6 +61,7 @@
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+  ['_7ecommongraphoptions',['~CommonGraphOptions',['../classarm__compute_1_1utils_1_1_common_graph_options.xhtml#adb8bdeb785690a0857d0f0e4d66db4c3',1,'arm_compute::utils::CommonGraphOptions']]],
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   ['_7ecppcornercandidateskernel',['~CPPCornerCandidatesKernel',['../classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a208c06a1b38f317679a9d5658020d907',1,'arm_compute::CPPCornerCandidatesKernel']]],
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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aca4dbda19b61b2d72a4d498d03c97f83',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;Input2Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), 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data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa707ff584caaa127d96531cf08e274d8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(),})), framework::dataset::make(&quot;MVBGInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f, 2.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f, 2.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), ActivationLayerInfo(), ActivationLayerInfo(),})), framework::dataset::make(&quot;Expected&quot;,{true, false, false, false, false, false, false, false, false, true, true})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43b142f2fd7735c8dbb2b1b4e456482b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af654ad5ee4e9af35cd82a2a0f3f8e1aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), shape, data_type, 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filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51dee1db18e29829c9ed197d78fda7d4',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32, 0), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32, 0), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32, 0)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 31U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16, 0), TensorInfo(TensorShape(5U, 5U, 32U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0), PadStrideInfo(1, 1, 2, 2), PadStrideInfo(1, 1, 2, 2)})), framework::dataset::make(&quot;GpuTarget&quot;,{GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST})), framework::dataset::make(&quot;Dilation&quot;,{Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 1U),})),
+  ['data_5ftest_5fcase',['DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab71f703bd3f185e8d06c405e0d15d52a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceS16Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ca1814eff79e9a3d6d693849683d8f1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AccumulateS16Dataset), shape, data_type, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a77a7b07127f4aa5d92f20e6014db8867',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AccumulateU8Dataset), shape, data_type, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a122e3a9ceeb35b23b5d9e0ecaff76e50',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make(&quot;InPlace&quot;,{false, true})), shape, data_type, in_place)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ace1acb29a6efdd962bf1fd8ce4720da9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, false, true, true, false, false})), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0fe11218301423c362368e2ada73fa8a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;Input2Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa4a6e9fa189c54b63aef5111693d855b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeee2906bc679a4572c19e19b64a62e9f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;Input2Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false, true})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab844c752ba7cb8da9d8934794bfbab8c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), framework::dataset::make(&quot;ConvertPolicy&quot;,{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), shape, data_type1, data_type2, policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a872bcda16058213dcc3331cad9a7a21b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;,{false, true}), framework::dataset::make(&quot;UseGamma&quot;,{false, true}))), framework::dataset::make(&quot;DataType&quot;,{DataType::F16, DataType::F32})), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW, DataLayout::NHWC})), shape0, shape1, epsilon, use_gamma, use_beta, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a840c5d7fdd956986737b14fbeb9ccced',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;MVBGInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32),})), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f),})), framework::dataset::make(&quot;Expected&quot;,{true, false, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43b142f2fd7735c8dbb2b1b4e456482b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af654ad5ee4e9af35cd82a2a0f3f8e1aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), shape, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a090333d7261f073474cd8aef8de23758',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), 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combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;FormatType&quot;,{Format::IYUV, Format::YUV444, Format::NV12, Format::NV21})), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1c198082b24a308f1d479a64634a6dc',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ChannelExtractRGBADataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9adefa93f6a8d40b690373c0d3b697c0',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ChannelExtractYUVDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab17d85ca94ce27b1318a258babe9f0c0',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ChannelExtractYUVPlanarDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8529b8f2cf6b3d1067e6f3172bfd07cb',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;,{DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32})), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07cb07056a8976aaa8aaa3b7c117826c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 12U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;ConvolvedWidth&quot;,{3, 3, 3, 3})), framework::dataset::make(&quot;ConvolvedHeight&quot;,{4, 4, 4, 4})), framework::dataset::make(&quot;NumGroups&quot;,{1, 1, 1, 4})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, true})), input_info, output_info, convolved_width, convolved_height, num_groups, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c6289eccdc5762de725d4af56dc8db7',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGBA_to_RGB), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae4bbb1df52cf725ee2fba20efe08d6b1',1,'arm_compute::test::validation::DATA_TEST_CASE(RGB, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGB_to_RGBA), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac84cb1a81d28c2872457ba2d6741f399',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUYV_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68ece19a4b3449b89b4e0775c7f118a3',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUVPlanar_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a04f63f20e265174810a33393d25928',1,'arm_compute::test::validation::DATA_TEST_CASE(NV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_RGBDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a12a78eeb0beb40cd2a4f93a4e50dd7ed',1,'arm_compute::test::validation::DATA_TEST_CASE(YUYVtoNV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUYVDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6024ddbc49ec8e38f10ccb62e1796431',1,'arm_compute::test::validation::DATA_TEST_CASE(NVtoYUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_NVDataset_to_YUVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb814e22229941c876c5013b7699d073',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;,{3})), shape, output_data_type, border_mode, filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0b788c661f0de353670786f13ee00aa',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 31U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 32U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32)})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0), PadStrideInfo(1, 1, 2, 2), PadStrideInfo(1, 1, 2, 2)})), framework::dataset::make(&quot;GpuTarget&quot;,{GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST})), framework::dataset::make(&quot;Dilation&quot;,{Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 1U),})),
 framework::dataset::make(&quot;EnableFastMath&quot;,{false, false, false, false, false, false, true, true})),
-framework::dataset::make(&quot;Expected&quot;,{ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM,})), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ea126361164d2410c0ada82453e9903',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe95cd0bbd0e16272be4bf41d7a17ad5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallDeconvolutionShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8c40af5b649a983a845e5bf8f0ba132c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 11), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QS8, 5), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32, 11), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(1U), 1, DataType::F16, 0), TensorInfo(TensorShape(1U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U), 1, DataType::F32, 5), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32, 11), TensorInfo(TensorShape(1U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 5), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;PadStrideInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;ax&quot;,{1U, 1U, 1U, 1U, 0U, 0U,})), framework::dataset::make(&quot;ay&quot;,{1U, 1U, 1U, 1U, 0U, 0U,})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true})), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3af7c449ec636cdb56f09c7bb9815ddd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;ConvertPolicy&quot;,{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), DepthConvertLayerShiftDataset), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a4dca9a6fcebd771852954387dda89a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::QS8, DataType::QS16})), framework::dataset::make(&quot;ConvertPolicy&quot;,{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), DepthConvertLayerFixedPointQuantizedDataset), shape, dt, policy, fixed_point_position)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0230fdd4952937ef0aada085bf021f0e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32, 0), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::S32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(24U), 1, DataType::S32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;DepthMultiplier&quot;,{1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 3,})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false, false, true, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4700960adf5bca330984601fcd90c1eb',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(24U), 1, DataType::S32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0),})), framework::dataset::make(&quot;DepthMultiplier&quot;,{1, 1, 3, 1, 1, 1, 2, 3,})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd3bff121f3d1b361014931aba336060',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a712c785a9475eb2bb0a5a24e43d282cc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ad40d7a7f1d18538b265c0aa8a6ea88',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32, 0), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32, 0)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16, 0)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0)})), framework::dataset::make(&quot;GpuTarget&quot;,{GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST})), framework::dataset::make(&quot;Dilation&quot;,{Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U)})), framework::dataset::make(&quot;Expected&quot;,{ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM})), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8358bc12f3ac1a3d9bc6ba573ada2316',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDilatedConvolutionLayerDataset(), datasets::LargeDilatedConvolutionLayerDataset()), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a00be49808b9902e928f3d8dae10b3528',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false, false, true})), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03ce389355dedb591f21f5abc0f22cce',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e96c6c2da521e248fa7b6ecb2a5cab7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;,{false, true})), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)), shape, format, suppress_nonmax, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, border_mode, size, padding, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993ad7954889c7044c5d3ccd82243f6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallFullyConnectedLayerDataset(), datasets::LargeFullyConnectedLayerDataset()), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a3174b2b942f35be581e0a70115297b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::QS8, 2), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(315U, 271U), 1, DataType::QS8, 3), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::QS8, 2), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::QS8, 3), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),})), framework::dataset::make(&quot;TransposeWeights&quot;,{true, true, true, false, true, true})), framework::dataset::make(&quot;ReshapedWeights&quot;,{false, false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;,{false, false, true, true, false, false})), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a370c6df0823b292ef89726547ce83cc0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac60bce01d83538dd27cddcbea97046c8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallGEMMLowpDataset(), datasets::LargeGEMMLowpDataset()), shape_a, shape_b, shape_c, a_offset, b_offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae408ebf375fe9401ddb3fc30be6ee254',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), quantize_down_int32_to_uint8_scale_cases), shape, result_offset, result_mult_int, result_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7abb3c5ef69509a8a8c2ec8e7dea242',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases), shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07488d59b3ffaa49592976f74b50e62e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, use_fp16, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1bfcab4437a2df46720e9cf0b19e2f73',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(128U, 64U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)})), framework::dataset::make(&quot;Axis&quot;,{0U, 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true})), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d0bdef62f9218c92847a6a6c4d41b6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16, 0), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;PadStride&quot;,{PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0, 0, 0, DimensionRoundingType::FLOOR), PadStrideInfo(2, 1, 0, 0)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, true})), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac02f7704050bf75595bbb4009a6bd12c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af4778f93858be9f3d668e443f29d3411',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(8U, 2U), 1, DataType::U8, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;InputWeightsInfo&quot;,{TensorInfo(TensorShape(8U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;,{TensorInfo(TensorShape(16U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;CellBiasInfo&quot;,{TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;ProjectionBiasInfo&quot;,{TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;CellStateInfo&quot;,{TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;ScratchInfo&quot;,{TensorInfo(TensorShape(64U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(12U, 2U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false})), input_info, input_weights_info, recurrent_weights_info, cell_bias_info, projection_bias_info, cell_state_info, output_info, scratch_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa448e5cad10449e32daa050b861dac3e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::S16, DataType::S32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af47ccf8173fbf22b22f0649949789046',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;,{3U, 5U})), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a692cf4b1d688f13abdc57d0713b90ed7',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;NormInfo&quot;,{NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true})), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fef1defe4d1be1c781ab819d46ad1e9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::U16),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 5U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(21U, 64U, 2U, 128U), 1, DataType::F32), TensorInfo(TensorShape(2U, 21U, 64U, 128U), 1, DataType::U16),})), framework::dataset::make(&quot;PermutationVector&quot;,{PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(1U, 1U, 1U, 1U), PermutationVector(2U, 1U, 3U, 0U), PermutationVector(3U, 2U, 1U, 0U),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true, true, true, false, false, false, false})), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1b781bfa8aede873549ccc651f6bcf8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;,{DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b6fe9d1f1a157a4208b976d197d4f04',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;Input2Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS16, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;Scale&quot;,{2.f, 2.f, 2.f,-1.f, 1.f, 1.f, 1.f, 1.f, 3.f})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f9e31f20d51bd86052dce3bbb32ff16',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS16, 11), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), 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PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, true, false, false, false, true, false, true})), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ada475a940bab0a1809774c87d1223989',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad24f0eb2b1d7cb2b9d5a3acdc8c0be38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;,{BorderMode::UNDEFINED, BorderMode::CONSTANT})), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab89103c7ff68898abd1789bf732cc999',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U), 1, DataType::U8, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), 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DataType::F32, 0), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(11U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;HiddenStateInfo&quot;,{TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false})), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8faa3a9f1711901fe067c566a1a09f7b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a824b5a8e3c4e7db5fb9e67ebae18e396',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SoftmaxLayerSmallShapes(), datasets::SoftmaxLayerLargeShapes()), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7db30180ae79508c4f29f128d46bca54',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true, true, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed9aa4d1158f6ac09286cd55d3494c8b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7ddc226714d859ef20d3f5bafc55c38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, threshold, false_value, true_value, type, upper, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a610ce278b7461a74fb33d4881cf8b809',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9784587ac5d84c4f806fe3d8072a897d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82198f31505f1872422da35d6387b7ac',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;,{TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32, 0)}), framework::dataset::make(&quot;InputInfo2&quot;,{TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16, 0), TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, true})), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a273a18c5a1ff725a1f3ba44fab48f188',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32), TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32)}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32)})), framework::dataset::make(&quot;WinogradInfo&quot;,{WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(2, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 33U), PadStrideInfo(1, 1, 0, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(34U, 42U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(31U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false})), input_info, output_info, winograd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c070c74e504059d7c7f78219cd5c3e1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallWinogradInputTransformDataset(), datasets::LargeWinogradInputTransformDataset()), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW})), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), shape_in, winograd_info, data_layout, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee2a24d28b5b24452c348a21f156c83b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::Small3x3Shapes(), datasets::Large3x3Shapes()), framework::dataset::make(&quot;OutputTile&quot;,{Size2D(2U, 2U), Size2D(4U, 4U)})), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW})), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), shape_a, output_tile, data_layout, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8bc6505e8a48da25d9f9c24c2a99d17a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallWinogradOutputTransformDataset(), datasets::LargeWinogradOutputTransformDataset()), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), shape_a, winograd_info, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4cb836a117a5c4bfb377ce8f447eb708',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;,{false, true}), framework::dataset::make(&quot;UseGamma&quot;,{false, true}))), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW})), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752981762f5617f513d6f1aaf41c1380',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes), shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5a7faea0a5acd5ef504cf832548ca05',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;,{DataType::F16})), shape0, shape1, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0100bf102f3cb83c63faa0fe97854a0c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0),}),
-framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0),})),
+framework::dataset::make(&quot;Expected&quot;,{ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM,})), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ea126361164d2410c0ada82453e9903',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378731124b458a89a8e501b813d55870',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallGroupedConvolutionLayerDataset(), datasets::LargeGroupedConvolutionLayerDataset()), GroupedCNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe95cd0bbd0e16272be4bf41d7a17ad5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallDeconvolutionShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f8a844cc58eb65f2fddbd08ee6303d9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32),})), framework::dataset::make(&quot;PadStrideInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;ax&quot;,{1U, 1U, 1U, 1U, 0U, 0U,})), framework::dataset::make(&quot;ay&quot;,{1U, 1U, 1U, 1U, 0U, 0U,})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true})), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a653328cf24832000f5cf61ee4f28bf1f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;,{TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 3U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32)}), framework::dataset::make(&quot;InputInfo2&quot;,{TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(23U, 27U, 9U), 1, DataType::F16), TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, true})), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3af7c449ec636cdb56f09c7bb9815ddd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;ConvertPolicy&quot;,{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), DepthConvertLayerShiftDataset), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac0a79a7702342972e93f8b85d099b771',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;DepthMultiplier&quot;,{1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 3,})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false, false, true, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9eb1b3cd488d187967ec34b4cb4ce409',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0),})), framework::dataset::make(&quot;DepthMultiplier&quot;,{1, 1, 3, 1, 1, 1, 2, 3,})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd3bff121f3d1b361014931aba336060',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a712c785a9475eb2bb0a5a24e43d282cc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4529f4ff522a03ce1865f87dc162fbf7',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32)})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0)})), framework::dataset::make(&quot;GpuTarget&quot;,{GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST})), framework::dataset::make(&quot;Dilation&quot;,{Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U)})), framework::dataset::make(&quot;Expected&quot;,{ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM})), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8358bc12f3ac1a3d9bc6ba573ada2316',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDilatedConvolutionLayerDataset(), datasets::LargeDilatedConvolutionLayerDataset()), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7815e2d8e02049e895b982d8415ba2c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false, false, true})), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03ce389355dedb591f21f5abc0f22cce',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1e96c6c2da521e248fa7b6ecb2a5cab7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;Format&quot;, Format::U8)), framework::dataset::make(&quot;SuppressNonMax&quot;,{false, true})), framework::dataset::make(&quot;BorderMode&quot;, BorderMode::UNDEFINED)), shape, format, suppress_nonmax, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, border_mode, size, padding, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a993ad7954889c7044c5d3ccd82243f6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallFullyConnectedLayerDataset(), datasets::LargeFullyConnectedLayerDataset()), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1d92ba2fc77ebb6cb11f44c1de8fefe',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32),})), framework::dataset::make(&quot;TransposeWeights&quot;,{true, true, false, true, true})), framework::dataset::make(&quot;ReshapedWeights&quot;,{false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;,{false, true, true, false, false})), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a370c6df0823b292ef89726547ce83cc0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac60bce01d83538dd27cddcbea97046c8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallGEMMLowpDataset(), datasets::LargeGEMMLowpDataset()), shape_a, shape_b, shape_c, a_offset, b_offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae408ebf375fe9401ddb3fc30be6ee254',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), quantize_down_int32_to_uint8_scale_cases), shape, result_offset, result_mult_int, result_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af7abb3c5ef69509a8a8c2ec8e7dea242',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases), shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a07488d59b3ffaa49592976f74b50e62e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, use_fp16, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04d88837256a6b365d16901094be0e73',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 2U, 1U), 1, DataType::QASYMM8),})), framework::dataset::make(&quot;HasBias&quot;,{true, true, true, false})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, true})), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1bfcab4437a2df46720e9cf0b19e2f73',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(128U, 64U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)})), framework::dataset::make(&quot;Axis&quot;,{0U, 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true})), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a74612ce9f8b898bc171800b13fb3e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_pyramid_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74496771d90a70769feaa5739daf9622',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_reconstruct_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ffce2f4a625be14bc32d87a7739eb8b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(1U, 3U, 5U, 21U, 575U), 1, DataType::F32)})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 575U), 1, DataType::F32)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(23U, 25U, 21U), 1, DataType::F32)})), framework::dataset::make(&quot;PadStride&quot;,{PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 1, 0, 0)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, true})), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac02f7704050bf75595bbb4009a6bd12c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a072be8e6ac208920c0dc88544dafd260',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(8U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;InputWeightsInfo&quot;,{TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32),})), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;,{TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32),})), framework::dataset::make(&quot;CellBiasInfo&quot;,{TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32),})), framework::dataset::make(&quot;ProjectionBiasInfo&quot;,{TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32),})), framework::dataset::make(&quot;CellStateInfo&quot;,{TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;ScratchInfo&quot;,{TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(12U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false})), input_info, input_weights_info, recurrent_weights_info, cell_bias_info, projection_bias_info, cell_state_info, output_info, scratch_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa448e5cad10449e32daa050b861dac3e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::S16, DataType::S32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acfffaca093e0728ce73d5279e058001a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::U8})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af47ccf8173fbf22b22f0649949789046',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::NonLinearFilterFunctions()), framework::dataset::make(&quot;MaskSize&quot;,{3U, 5U})), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f7e562855b1ecb61fda4191bbc20a7c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;NormInfo&quot;,{NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true})), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fef1defe4d1be1c781ab819d46ad1e9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::U16),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 5U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(21U, 64U, 2U, 128U), 1, DataType::F32), TensorInfo(TensorShape(2U, 21U, 64U, 128U), 1, DataType::U16),})), framework::dataset::make(&quot;PermutationVector&quot;,{PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(1U, 1U, 1U, 1U), PermutationVector(2U, 1U, 3U, 0U), PermutationVector(3U, 2U, 1U, 0U),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true, true, true, false, false, false, false})), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1b781bfa8aede873549ccc651f6bcf8',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make(&quot;DataType&quot;,{DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae38a6d0df2f1cb221c67f33590b5076b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;Input2Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;Scale&quot;,{2.f, 2.f, 2.f,-1.f, 1.f, 1.f})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a00cec864294c22619e41abd1c9a427',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, 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1U, 5U), 1, DataType::F32),})), framework::dataset::make(&quot;PoolInfo&quot;,{PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true, false, true})), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), shape, 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static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true})), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad24f0eb2b1d7cb2b9d5a3acdc8c0be38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;,{BorderMode::UNDEFINED, BorderMode::CONSTANT})), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab888a4f04cb359f27020910d6ffe0621',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),})), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;,{TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),})), framework::dataset::make(&quot;HiddenStateInfo&quot;,{TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false})), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8faa3a9f1711901fe067c566a1a09f7b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a824b5a8e3c4e7db5fb9e67ebae18e396',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SoftmaxLayerSmallShapes(), datasets::SoftmaxLayerLargeShapes()), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4bedba11c18b809ecb4b6bbe971250d8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed9aa4d1158f6ac09286cd55d3494c8b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7ddc226714d859ef20d3f5bafc55c38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, threshold, false_value, true_value, type, upper, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a610ce278b7461a74fb33d4881cf8b809',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9784587ac5d84c4f806fe3d8072a897d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2551ec17b5a16e69f38b0e6b9dac93c8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32),}), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(4U), 1, DataType::U8), TensorInfo(TensorShape(4U), 1, DataType::F16), TensorInfo(TensorShape(4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(4U, 19U), 1, DataType::U8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F16), TensorInfo(TensorShape(4U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F32),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, true})), input_info, biases_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0c01a207bab88f97dd41b3c2cc71144',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;,{TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32)}), framework::dataset::make(&quot;InputInfo2&quot;,{TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16), TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, true})), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a273a18c5a1ff725a1f3ba44fab48f188',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32), TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32)}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32)})), framework::dataset::make(&quot;WinogradInfo&quot;,{WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(2, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 33U), PadStrideInfo(1, 1, 0, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(34U, 42U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(31U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false})), input_info, output_info, winograd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aac74c658a133485d4d52db5618f391c0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(SmallWinogradInputTransformDatasetNCHW, LargeWinogradInputTransformDatasetNCHW), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW})), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), shape_in, winograd_info, data_layout, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3876818fc1aeae0ae08a4708985fdb16',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(SmallWinogradFilterTransformDatasetNCHW, LargeWinogradFilterTransformDatasetNCHW), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW})), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), shape_a, output_tile, data_layout, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0261007476e86efd51d31f8c2a3fe0e4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(SmallWinogradOutputTransformDatasetNCHW, LargeWinogradOutputTransformDatasetNCHW), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), shape_a, winograd_info, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4cb836a117a5c4bfb377ce8f447eb708',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;,{false, true}), framework::dataset::make(&quot;UseGamma&quot;,{false, true}))), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW})), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752981762f5617f513d6f1aaf41c1380',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes), shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5a7faea0a5acd5ef504cf832548ca05',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;,{DataType::F16})), shape0, shape1, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac216e8393006737b0eeea2fcbf076901',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32),}),
+framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32),})),
 framework::dataset::make(&quot;PoolInfo&quot;,{PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG),})),
-framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false, true})), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae72dd7661e6fbd348c6c25fb3f810a5a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR})), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab7640878028c213fe9433432b53834ca',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::F16, DataType::F32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cf9c539b52f835653e100d3f309856e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceS16Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a027fc3c677b44db44a521358e514d6e9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, true, false, false, true})), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a884d40feeafe00ae07b0cbcddc51d7d3',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;,{false, true}), framework::dataset::make(&quot;UseGamma&quot;,{false, true}))), framework::dataset::make(&quot;DataType&quot;,{DataType::QS8, DataType::QS16, DataType::F32})), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW, DataLayout::NHWC})), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31bb10ae93d777116dcf93c12ccbb222',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(),})), framework::dataset::make(&quot;MVBGInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f, 2.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f, 2.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), ActivationLayerInfo(), ActivationLayerInfo(),})), framework::dataset::make(&quot;Expected&quot;,{true, false, false, false, false, false, false, false, true, true})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a0fadde4e3e45dceba08c84b65d43e9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;ConvolvedWidth&quot;,{3, 3, 3, 3, 3})), framework::dataset::make(&quot;ConvolvedHeight&quot;,{4, 4, 4, 4, 4})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aafd7f2a9d0ff2822b164c6b46775f8ee',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32, 0), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32, 0)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16, 0)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0)})), framework::dataset::make(&quot;FastMath&quot;,{true, true, false, false})), framework::dataset::make(&quot;Expected&quot;,{ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM})), input_info, weights_info, output_info, conv_info, fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2fdbbbe8bfaeed577986acf27b6f1389',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)})), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad7880d8c31944d2144a2d11df0a0b6ab',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::LargeDepthwiseConvolutionLayerDataset3x3()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), input_shape, kernel_size, info, depth_multiplier, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad7e946abbb7fa29168793080fc84c73d',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32, 0), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32, 0)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16, 0)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0)})), framework::dataset::make(&quot;Dilation&quot;,{Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U)})), framework::dataset::make(&quot;Expected&quot;,{ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM})), input_info, weights_info, output_info, conv_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad65a7e1becb5255c0c32f5a949f793b2',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false})), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af974625bb79a0bb09521331deafb6626',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::QS8, 2), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(315U, 271U), 1, DataType::QS8, 3), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::QS8, 2), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::QS8, 3), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32),})), framework::dataset::make(&quot;TransposeWeights&quot;,{true, true, true, false, true, true, true})), framework::dataset::make(&quot;ReshapedWeights&quot;,{false, false, false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;,{false, false, true, true, false, false, true})), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4c5ee20f9d24c1402ddf06145ccb2aa0',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::QS8, 2), TensorInfo(TensorShape(20U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(16U, 32U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)),}), framework::dataset::make(&quot;InputBInfo&quot;,{TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(64U, 16U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(8U, 11U), 1, DataType::S32), TensorInfo(TensorShape(64U, 32U), 1, DataType::S32),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01cbfbd5aab74c85cdac08a60f26288a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32),}), framework::dataset::make(&quot;InputBInfo&quot;,{TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32),})), framework::dataset::make(&quot;Min&quot;,{0, 8, 13,})), framework::dataset::make(&quot;Max&quot;,{205, 300, 180,})), framework::dataset::make(&quot;Expected&quot;,{true, false, false})), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a00e4165857f653d7601c7dcb4648be49',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8),}), 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1, DataType::QS8, 3), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;NormInfo&quot;,{NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 1),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true})), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a512b7ceb04308d4d2e4e7950073b70b5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;PermutationVector&quot;,{PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true, true})), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a561cc4612c658b22561a7e8bb659ed18',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;Input2Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS16, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;Scale&quot;,{scale_unity, scale_unity, scale_unity,-1.f, scale_unity, scale_unity, scale_unity, scale_unity, 3.f})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ae7460640c71d16d6a8a9f582ac6064',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)), shape, dt1, dt2, scale, convert_policy, rounding_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31647eb27e2ce0626cc4b4fd1dabfea2',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS16, 11), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS8, 5), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS16, 11), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;PoolInfo&quot;,{PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true, false, false, true})), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1442248a5848213f2f10bfeeeb7f3fc',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32, 0), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::AREA, InterpolationPolicy::AREA, InterpolationPolicy::NEAREST_NEIGHBOR,})), framework::dataset::make(&quot;BorderMode&quot;,{BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::REPLICATE,})), framework::dataset::make(&quot;SamplingPolicy&quot;,{SamplingPolicy::CENTER, SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER, SamplingPolicy::CENTER, SamplingPolicy::CENTER,})), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW, DataLayout::NCHW, DataLayout::NHWC, DataLayout::NCHW, DataLayout::NHWC,})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), input_info, output_info, policy, border_mode, sampling_policy, data_layout, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14b837847578efe2af1749b111e950af',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), ScaleDataTypes), ScaleDataLayouts), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;,{SamplingPolicy::CENTER})), shape, data_type, data_layout, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af4d6e3d65360b21e82835490dc160f8b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37f1e869246a6961b8e44b0e9b468126',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32), TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), TensorInfo(TensorShape(20U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(13U, 21U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32), TensorInfo(TensorShape(31U, 20U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32),})), framework::dataset::make(&quot;Expected&quot;,{true, false, true, false, true, true})), a_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad412ecd41b1d50856911faf4fc5f42ee',1,'arm_compute::test::validation::DATA_TEST_CASE(FixedPointQS8Inputs, framework::DatasetMode::ALL, combine(FuncNamesDataset, framework::dataset::make(&quot;FractionalBits&quot;, 1, 7)), func_name, frac_bits)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a94dd73849f393b64ff5a72db51a9bc',1,'arm_compute::test::validation::DATA_TEST_CASE(FixedPointQS8Outputs, framework::DatasetMode::ALL, zip(combine(FuncNamesDataset, framework::dataset::make(&quot;FractionalBits&quot;, 1, 7)), framework::dataset::make(&quot;ExpectedFailures&quot;,{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 13, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 33, 96})), func_name, frac_bits, expected_failures)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a266d4ed76808bf96f2ba534883af6cbb',1,'arm_compute::test::validation::DATA_TEST_CASE(AutoPadding, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;TensorShape&quot;,{TensorShape{}, TensorShape{10U}, TensorShape{10U, 10U}, TensorShape{10U, 10U, 10U}, TensorShape{10U, 10U, 10U, 10U}, TensorShape{10U, 10U, 10U, 10U, 10U}, TensorShape{10U, 10U, 10U, 10U, 10U, 10U}}), framework::dataset::make(&quot;PaddingSize&quot;,{PaddingSize{0, 0, 0, 0}, PaddingSize{0, 36, 0, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}})), framework::dataset::make(&quot;Strides&quot;,{Strides{}, Strides{1U, 50U}, Strides{1U, 50U}, Strides{1U, 50U, 900U}, Strides{1U, 50U, 900U, 9000U}, Strides{1U, 50U, 900U, 9000U, 90000U}, Strides{1U, 50U, 900U, 9000U, 90000U, 900000U}})), framework::dataset::make(&quot;Offset&quot;,{0U, 4U, 204U, 204U, 204U, 204U, 204U})), shape, auto_padding, strides, offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68528b9f127ac5a691a19bc791282f01',1,'arm_compute::test::validation::DATA_TEST_CASE(Construction, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;TensorShape&quot;,{TensorShape{}, TensorShape{1U}, TensorShape{2U}, TensorShape{2U, 3U}, TensorShape{2U, 3U, 5U}, TensorShape{2U, 3U, 5U, 7U}, TensorShape{2U, 3U, 5U, 7U, 11U}, TensorShape{2U, 3U, 5U, 7U, 11U, 13U}}), framework::dataset::make(&quot;NumDimensions&quot;,{0U, 1U, 1U, 2U, 3U, 4U, 5U, 6U})), framework::dataset::make(&quot;TotalSize&quot;,{0U, 1U, 2U, 6U, 30U, 210U, 2310U, 30030U})), shape, num_dimensions, total_size)'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a28f88254f098ec103dc5986d3752660a',1,'DATA_TEST_CASE(RoundHalfUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 2.f, 3.f, 3.f,-3.f,-3.f,-4.f,-4.f,-4.f})), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#affbe24fd09600ac3016a471ee841fc57',1,'DATA_TEST_CASE(RoundHalfEven, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 2.f, 2.f, 3.f,-3.f,-4.f,-4.f,-4.f,-4.f})), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#aa73947e5521690b18f251cfcc8b3ddfa',1,'DATA_TEST_CASE(Index2Coord, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;,{TensorShape{1U}, TensorShape{2U}, TensorShape{2U, 3U}}), framework::dataset::make(&quot;Index&quot;,{0, 1, 2})), framework::dataset::make(&quot;Coordinates&quot;,{Coordinates{0}, Coordinates{1}, Coordinates{0, 1}})), shape, index, ref_coordinate):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a021a9d3325f1be249e14665e52a38aac',1,'DATA_TEST_CASE(RoundFloatToZero, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 1.f, 2.f, 2.f,-3.f,-3.f,-3.f,-4.f,-4.f})), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a4a3e4f9af1ea52a230c50eb37b761360',1,'DATA_TEST_CASE(RoundFloatToNearestUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 2.f, 3.f, 3.f,-3.f,-4.f,-4.f,-4.f,-5.f})), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a9e461b3ac0012c8c7193c1e180c91f67',1,'DATA_TEST_CASE(Coord2Index, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;,{TensorShape{1U}, TensorShape{2U}, TensorShape{2U, 3U}}), framework::dataset::make(&quot;Coordinates&quot;,{Coordinates{0}, Coordinates{1}, Coordinates{0, 1}})), framework::dataset::make(&quot;Index&quot;,{0, 1, 2})), shape, coordinate, ref_index):&#160;Utils.cpp']]],
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DataType::F32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cf9c539b52f835653e100d3f309856e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceS16Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8aa9360b407148ad83ae174e56dd708a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, true, false})), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a15de3d7876f181af7a377e8ad20788dc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;,{false, true}), framework::dataset::make(&quot;UseGamma&quot;,{false, true}))), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW, DataLayout::NHWC})), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad25f4550e60393829c7bfe3f02817cf8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;MVBGInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32),})), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f),})), framework::dataset::make(&quot;Expected&quot;,{true, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a787dc330e1c5b5a619b0b3209a1fee59',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;ConvolvedWidth&quot;,{3, 3, 3, 3, 3})), framework::dataset::make(&quot;ConvolvedHeight&quot;,{4, 4, 4, 4, 4})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, true})), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa8b8b22086f107a6db937157bbaa9647',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), ColorConvert_YUYVDataset_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a240d950976fffc1be53f3fe61496c87b',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32), TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32)})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0)})), framework::dataset::make(&quot;FastMath&quot;,{true, true, false, false})), framework::dataset::make(&quot;Expected&quot;,{ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM})), input_info, weights_info, output_info, conv_info, fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2fdbbbe8bfaeed577986acf27b6f1389',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)})), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0bd478612af1cc6facf50f95a3a750dd',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),})), framework::dataset::make(&quot;Expected&quot;,{false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adf80d02463c97edc3a0037fc35aabedf',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32),})), framework::dataset::make(&quot;PadStrideInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;ax&quot;,{1U, 1U, 1U, 1U, 0U, 0U,})), framework::dataset::make(&quot;ay&quot;,{1U, 1U, 1U, 1U, 0U, 0U,})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true})), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab98623ebd8ec9c7e270fec8672f27cb8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;DepthMultiplier&quot;,{1, 1, 1, 3, 1, 1, 1, 1, 1,})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab86cd527d1e5d0ea5d2ee0f2077951ca',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32)})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0)})), framework::dataset::make(&quot;Dilation&quot;,{Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U)})), framework::dataset::make(&quot;Expected&quot;,{ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM})), input_info, weights_info, output_info, conv_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5da4fe361664261ce080a903c3897377',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false})), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe6b8354c27113967893c8147f733afb',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32),})), framework::dataset::make(&quot;TransposeWeights&quot;,{true, true, false, true, true, true})), framework::dataset::make(&quot;ReshapedWeights&quot;,{false, false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;,{false, true, true, false, false, true})), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#add0e34f954e29dced0a1376339684904',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(16U, 32U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)),}), framework::dataset::make(&quot;InputBInfo&quot;,{TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(64U, 16U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(8U, 11U), 1, DataType::S32), TensorInfo(TensorShape(64U, 32U), 1, DataType::S32),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01cbfbd5aab74c85cdac08a60f26288a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32),}), framework::dataset::make(&quot;InputBInfo&quot;,{TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32),})), framework::dataset::make(&quot;Min&quot;,{0, 8, 13,})), framework::dataset::make(&quot;Max&quot;,{205, 300, 180,})), framework::dataset::make(&quot;Expected&quot;,{true, false, false})), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a334f44b6fdca9ab588d01e75496a32b7',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 1U, 2U), 1, DataType::QASYMM8),})), framework::dataset::make(&quot;HasBias&quot;,{true, true, true, false, false})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20155712f10d97aad2b3f0c6d86b4047',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32)})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32)})), framework::dataset::make(&quot;PadStride&quot;,{PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0, 0, 0, DimensionRoundingType::FLOOR), PadStrideInfo(2, 1, 0, 0)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, true})), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a635611a2f025da0e30e23148b4cdec17',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a46f8dff3894e308bf906f84aac453196',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;NormInfo&quot;,{NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 1),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true})), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a512b7ceb04308d4d2e4e7950073b70b5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;PermutationVector&quot;,{PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true, true})), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c6107c12c7c46e8d71c437dbcb773c4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),}), framework::dataset::make(&quot;Input2Info&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),})), framework::dataset::make(&quot;Scale&quot;,{scale_unity, scale_unity, scale_unity,-1.f, scale_unity, scale_unity, scale_unity})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4ae7460640c71d16d6a8a9f582ac6064',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType1&quot;, DataType::U8)), framework::dataset::make(&quot;DataType2&quot;, DataType::U8)), framework::dataset::make(&quot;Scale&quot;, std::move(scale_255))), datasets::ConvertPolicies()), framework::dataset::make(&quot;RoundingPolicy&quot;, RoundingPolicy::TO_NEAREST_UP)), shape, dt1, dt2, scale, convert_policy, rounding_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e89fb60698ac54086e616031aa2f996',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),})), framework::dataset::make(&quot;PoolInfo&quot;,{PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true, false, false, true})), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a791cdac0002981db7093b849026a64',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), 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11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(32U), 1, DataType::F32),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),})), framework::dataset::make(&quot;HiddenStateInfo&quot;,{TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, true})), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab912619c3cd97c7914b466e8ce34dce6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32),})), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::AREA, InterpolationPolicy::AREA, InterpolationPolicy::NEAREST_NEIGHBOR,})), framework::dataset::make(&quot;BorderMode&quot;,{BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::REPLICATE,})), framework::dataset::make(&quot;SamplingPolicy&quot;,{SamplingPolicy::CENTER, SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER, SamplingPolicy::CENTER, SamplingPolicy::CENTER,})), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW, DataLayout::NCHW, DataLayout::NHWC, DataLayout::NCHW, DataLayout::NHWC,})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true})), input_info, output_info, policy, border_mode, sampling_policy, data_layout, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14b837847578efe2af1749b111e950af',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), ScaleDataTypes), ScaleDataLayouts), framework::dataset::make(&quot;InterpolationPolicy&quot;,{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), framework::dataset::make(&quot;SamplingPolicy&quot;,{SamplingPolicy::CENTER})), shape, data_type, data_layout, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02258ffabb3dd76fb19391497405f6d8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U), 1, DataType::F32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U), 1, DataType::F32),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37f1e869246a6961b8e44b0e9b468126',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(21U, 13U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32), TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), TensorInfo(TensorShape(20U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(13U, 21U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32), TensorInfo(TensorShape(31U, 20U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32),})), framework::dataset::make(&quot;Expected&quot;,{true, false, true, false, true, true})), a_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a266d4ed76808bf96f2ba534883af6cbb',1,'arm_compute::test::validation::DATA_TEST_CASE(AutoPadding, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;TensorShape&quot;,{TensorShape{}, TensorShape{10U}, TensorShape{10U, 10U}, TensorShape{10U, 10U, 10U}, TensorShape{10U, 10U, 10U, 10U}, TensorShape{10U, 10U, 10U, 10U, 10U}, TensorShape{10U, 10U, 10U, 10U, 10U, 10U}}), framework::dataset::make(&quot;PaddingSize&quot;,{PaddingSize{0, 0, 0, 0}, PaddingSize{0, 36, 0, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}, PaddingSize{4, 36, 4, 4}})), framework::dataset::make(&quot;Strides&quot;,{Strides{}, Strides{1U, 50U}, Strides{1U, 50U}, Strides{1U, 50U, 900U}, Strides{1U, 50U, 900U, 9000U}, Strides{1U, 50U, 900U, 9000U, 90000U}, Strides{1U, 50U, 900U, 9000U, 90000U, 900000U}})), framework::dataset::make(&quot;Offset&quot;,{0U, 4U, 204U, 204U, 204U, 204U, 204U})), shape, auto_padding, strides, offset)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a68528b9f127ac5a691a19bc791282f01',1,'arm_compute::test::validation::DATA_TEST_CASE(Construction, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;TensorShape&quot;,{TensorShape{}, TensorShape{1U}, TensorShape{2U}, TensorShape{2U, 3U}, TensorShape{2U, 3U, 5U}, TensorShape{2U, 3U, 5U, 7U}, TensorShape{2U, 3U, 5U, 7U, 11U}, TensorShape{2U, 3U, 5U, 7U, 11U, 13U}}), framework::dataset::make(&quot;NumDimensions&quot;,{0U, 1U, 1U, 2U, 3U, 4U, 5U, 6U})), framework::dataset::make(&quot;TotalSize&quot;,{0U, 1U, 2U, 6U, 30U, 210U, 2310U, 30030U})), shape, num_dimensions, total_size)'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a28f88254f098ec103dc5986d3752660a',1,'DATA_TEST_CASE(RoundHalfUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 2.f, 3.f, 3.f,-3.f,-3.f,-4.f,-4.f,-4.f})), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#affbe24fd09600ac3016a471ee841fc57',1,'DATA_TEST_CASE(RoundHalfEven, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 2.f, 2.f, 3.f,-3.f,-4.f,-4.f,-4.f,-4.f})), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#aa73947e5521690b18f251cfcc8b3ddfa',1,'DATA_TEST_CASE(Index2Coord, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;,{TensorShape{1U}, TensorShape{2U}, TensorShape{2U, 3U}}), framework::dataset::make(&quot;Index&quot;,{0, 1, 2})), framework::dataset::make(&quot;Coordinates&quot;,{Coordinates{0}, Coordinates{1}, Coordinates{0, 1}})), shape, index, ref_coordinate):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a021a9d3325f1be249e14665e52a38aac',1,'DATA_TEST_CASE(RoundFloatToZero, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 1.f, 2.f, 2.f,-3.f,-3.f,-3.f,-4.f,-4.f})), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a4a3e4f9af1ea52a230c50eb37b761360',1,'DATA_TEST_CASE(RoundFloatToNearestUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 2.f, 3.f, 3.f,-3.f,-4.f,-4.f,-4.f,-5.f})), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a9e461b3ac0012c8c7193c1e180c91f67',1,'DATA_TEST_CASE(Coord2Index, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;,{TensorShape{1U}, TensorShape{2U}, TensorShape{2U, 3U}}), framework::dataset::make(&quot;Coordinates&quot;,{Coordinates{0}, Coordinates{1}, Coordinates{0, 1}})), framework::dataset::make(&quot;Index&quot;,{0, 1, 2})), shape, coordinate, ref_index):&#160;Utils.cpp'],['../_window_iterator_8cpp.xhtml#a194818bb2c932e774333fc73c4e6ee33',1,'DATA_TEST_CASE(WholeWindow, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;Window&quot;,{create_window(Window::Dimension(0, 1)), create_window(Window::Dimension(1, 5, 2), Window::Dimension(3, 5)), create_window(Window::Dimension(4, 16, 4), Window::Dimension(3, 13, 5), Window::Dimension(1, 3, 2))}), framework::dataset::make(&quot;Expected&quot;,{create_vector({Coordinates(0, 0)}), create_vector({Coordinates(1, 3), Coordinates(3, 3), Coordinates(1, 4), Coordinates(3, 4)}), create_vector({Coordinates(4, 3, 1), Coordinates(8, 3, 1), Coordinates(12, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1)})})), window, expected):&#160;WindowIterator.cpp'],['../_window_iterator_8cpp.xhtml#a5d095dd08ec0312b706f25442726d3c1',1,'DATA_TEST_CASE(PartialWindow2D, framework::DatasetMode::ALL, zip(zip(zip(combine(framework::dataset::make(&quot;Window&quot;, create_window(Window::Dimension(4, 20, 4), Window::Dimension(3, 32, 5), Window::Dimension(1, 2, 1))), framework::dataset::make(&quot;Start&quot;,{0, 1, 3, 2, 4})), framework::dataset::make(&quot;End&quot;,{0, 2, 5, 8, 7})), framework::dataset::make(&quot;RowSize&quot;,{create_vector({4}), create_vector({8, 8}), create_vector({4, 8, 8}), create_vector({8, 8, 16, 16, 16, 16, 4}), create_vector({16, 16, 16, 16}),})),
+framework::dataset::make(&quot;Expected&quot;,{create_vector({Coordinates(4, 3, 1)}), create_vector({Coordinates(8, 3, 1), Coordinates(12, 3, 1)}), create_vector({Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1)}), create_vector({Coordinates(12, 3, 1), Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1), Coordinates(4, 13, 1)}), create_vector({Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1)})})), window, start, end, expected_row_size, expected):&#160;WindowIterator.cpp']]],
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   ['data_5ftype_5ffor_5fconvolution_5fmatrix',['data_type_for_convolution_matrix',['../namespacearm__compute.xhtml#a3992df9e8723140a53e49dc194d89ef5',1,'arm_compute']]],
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+  ['data_5ftype_5ffrom_5fname',['data_type_from_name',['../namespacearm__compute.xhtml#ade65ba63cdf4becce903866f4a59815e',1,'arm_compute']]],
   ['dataset',['Dataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_dataset.xhtml#a6c77d69d08daa8c99952d9e40de8d086',1,'arm_compute::test::framework::dataset::Dataset']]],
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   ['datatestcasefactory',['DataTestCaseFactory',['../classarm__compute_1_1test_1_1framework_1_1_data_test_case_factory.xhtml#aacdf355fbfb7579c36e50c757809c148',1,'arm_compute::test::framework::DataTestCaseFactory']]],
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+  ['deconvolution_5finfo',['deconvolution_info',['../classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml#a8d02eec63e73518377ccb6997465a78d',1,'arm_compute::graph::DeconvolutionLayerNode']]],
+  ['deconvolution_5flayer',['deconvolution_layer',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a994c9603f9aa41b731d957eebee4c8ee',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;weights, const SimpleTensor&lt; T &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad2dbe8fb35f3482d2e038b8a28f25031',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; float &gt; &amp;src, const SimpleTensor&lt; float &gt; &amp;weights, const SimpleTensor&lt; float &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac3cb1b3d19e3cb12db85561dcb19c176',1,'arm_compute::test::validation::reference::deconvolution_layer(const SimpleTensor&lt; half &gt; &amp;src, const SimpleTensor&lt; half &gt; &amp;weights, const SimpleTensor&lt; half &gt; &amp;bias, const TensorShape &amp;output_shape, const PadStrideInfo &amp;info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;a)']]],
   ['deconvolution_5foutput_5fdimensions',['deconvolution_output_dimensions',['../namespacearm__compute.xhtml#a5c7b26988083a67a91cd3e7962f38521',1,'arm_compute']]],
   ['deconvolution_5foutput_5fshape',['deconvolution_output_shape',['../namespacearm__compute.xhtml#a7d57332eb91a8735f173556b3caf6236',1,'arm_compute']]],
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index f916594..b461717 100644
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index 10280bc..86b7e16 100644
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diff --git a/documentation/search/typedefs_15.js b/documentation/search/typedefs_15.js
index 10fb45e..ce15f34 100644
--- a/documentation/search/typedefs_15.js
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@@ -1,5 +1,6 @@
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diff --git a/documentation/search/typedefs_3.js b/documentation/search/typedefs_3.js
index 0b431d5..2be8176 100644
--- a/documentation/search/typedefs_3.js
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+  ['clcannyedgefixture',['CLCannyEdgeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a89469af2cbb370c5d52db10de55fb092',1,'arm_compute::test::benchmark::CLCannyEdgeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa23b2d3ec02af6063e45fc055e30b755',1,'arm_compute::test::validation::CLCannyEdgeFixture()']]],
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+  ['cldepthconvertlayertof16fixture',['CLDepthConvertLayerToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af34f4659b265497215fd2a556a603a2a',1,'arm_compute::test::validation']]],
+  ['cldepthconvertlayertof32fixture',['CLDepthConvertLayerToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a37074ca554a7e99c0109c21661b1f942',1,'arm_compute::test::validation']]],
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@@ -149,10 +143,9 @@
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-  ['clsobel3x3fixture',['CLSobel3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4605aaabfffeca6e66a79e31a57e107f',1,'arm_compute::test::validation']]],
+  ['clsobel3x3fixture',['CLSobel3x3Fixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac7fadd335dff9e080b6a8d0c153d389e',1,'arm_compute::test::benchmark::CLSobel3x3Fixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4605aaabfffeca6e66a79e31a57e107f',1,'arm_compute::test::validation::CLSobel3x3Fixture()']]],
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@@ -162,8 +155,11 @@
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+  ['clwarpaffinefixture',['CLWarpAffineFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9d68bf8c09cd1516a816026d08f00a01',1,'arm_compute::test::benchmark::CLWarpAffineFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abb43751599ae8ecc52e815ad6bab4cb4',1,'arm_compute::test::validation::CLWarpAffineFixture()']]],
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+  ['clweightsreshape',['CLWeightsReshape',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b827fc7e5803321a805c747dcd306c8',1,'arm_compute::test::validation']]],
+  ['clweightsreshapefixture',['CLWeightsReshapeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a12fc26636d5170abf8784212da108bef',1,'arm_compute::test::validation']]],
+  ['clweightsretentionfixture',['CLWeightsRetentionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0f1e1e9ef60cbe2dd3461a0153c3cb3',1,'arm_compute::test::validation']]],
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   ['clwinogradconvolutionlayerfastmathfixture',['CLWinogradConvolutionLayerFastMathFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4aa7763717f234371acad168e9ed5e5f',1,'arm_compute::test::validation']]],
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diff --git a/documentation/search/typedefs_7.js b/documentation/search/typedefs_7.js
index 5c8985a..b7f4f05 100644
--- a/documentation/search/typedefs_7.js
+++ b/documentation/search/typedefs_7.js
@@ -15,7 +15,7 @@
   ['gcdirectconvolutionlayer5x5kernel',['GCDirectConvolutionLayer5x5Kernel',['../namespacearm__compute.xhtml#a227e525a4d0a4da25040cfdf8a3cf06b',1,'arm_compute']]],
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-  ['gcfullyconnectedlayerfixture',['GCFullyConnectedLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a24e2d47432cc0b346147bbbc3964e6c8',1,'arm_compute::test::benchmark::GCFullyConnectedLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a009146367d961eaaf64f75df25d8c2a4',1,'arm_compute::test::validation::GCFullyConnectedLayerFixture()']]],
+  ['gcfullyconnectedlayerfixture',['GCFullyConnectedLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a24e2d47432cc0b346147bbbc3964e6c8',1,'arm_compute::test::benchmark::GCFullyConnectedLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6fc1224b860967d39b81310781441491',1,'arm_compute::test::validation::GCFullyConnectedLayerFixture()']]],
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   ['gcimage',['GCImage',['../namespacearm__compute.xhtml#a0b1d72d612fb6f33393ea6cd6cbcf523',1,'arm_compute']]],
diff --git a/documentation/search/typedefs_c.js b/documentation/search/typedefs_c.js
index 112efe7..d111889 100644
--- a/documentation/search/typedefs_c.js
+++ b/documentation/search/typedefs_c.js
@@ -5,6 +5,5 @@
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   ['memorygroup',['MemoryGroup',['../namespacearm__compute.xhtml#a0e7a03e2e133cb1fbb12517a3f646a09',1,'arm_compute']]],
   ['memorymappings',['MemoryMappings',['../namespacearm__compute.xhtml#a762c7da7319adcc433b3ac7a67e18ed5',1,'arm_compute']]],
-  ['multigemm',['MultiGEMM',['../classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a14ba69200a7c35d6bc6f12734c26775c',1,'arm_compute::NEWinogradLayerBatchedGEMMKernel']]],
   ['mutex',['Mutex',['../namespacearm__compute.xhtml#acded863dbfdd730829d4188d67eefcf0',1,'arm_compute']]]
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diff --git a/documentation/search/typedefs_d.js b/documentation/search/typedefs_d.js
index 335585a..5dc2223 100644
--- a/documentation/search/typedefs_d.js
+++ b/documentation/search/typedefs_d.js
@@ -5,19 +5,14 @@
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   ['neaccumulateweightedfixture',['NEAccumulateWeightedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a651f6bbf349f8b86316966d62a44d641',1,'arm_compute::test::validation']]],
   ['neaccumulateweightedfp16kernel',['NEAccumulateWeightedFP16Kernel',['../namespacearm__compute.xhtml#aff99c045b07329b332b1cb97a2dd1518',1,'arm_compute']]],
-  ['neactivationlayerfixedpointfixture',['NEActivationLayerFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#accff188d66cba2636c289e9bc9717fc7',1,'arm_compute::test::validation']]],
   ['neactivationlayerfixture',['NEActivationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeded391cb7ec7a44c41eb23544265894',1,'arm_compute::test::benchmark::NEActivationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7258f5d5659c3a7b8a7374ca7aca168b',1,'arm_compute::test::validation::NEActivationLayerFixture()']]],
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-  ['nealexnetfixture',['NEAlexNetFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae0e8bcf3b0ed15e708b4a38febfdb84e',1,'arm_compute::test::benchmark']]],
   ['nearisubs16u8tos16fixture',['NEAriSubS16U8ToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3aebed77a9a0819d5440521f97bc0c5e',1,'arm_compute::test::validation']]],
   ['nearisubu8s16tos16fixture',['NEAriSubU8S16ToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a71e640604e5c3531bcc1cc150834b172',1,'arm_compute::test::validation']]],
   ['nearithmeticadditionbroadcastfixture',['NEArithmeticAdditionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b473473a8a5efa4ea820bb63854b4c',1,'arm_compute::test::validation']]],
-  ['nearithmeticadditionfixedpointfixture',['NEArithmeticAdditionFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a54d66f031d3bf297cce762353e59d0bd',1,'arm_compute::test::validation']]],
   ['nearithmeticadditionfixture',['NEArithmeticAdditionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab88f79f12b1e2f38ca362ae50c7667c5',1,'arm_compute::test::validation']]],
-  ['nearithmeticsubtractionfixedpointfixture',['NEArithmeticSubtractionFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2052ea84468ab994696f67578ddf50c4',1,'arm_compute::test::validation']]],
   ['nearithmeticsubtractionfixture',['NEArithmeticSubtractionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a819ec664ad4812223779e500e1752ae8',1,'arm_compute::test::validation']]],
   ['nearithmeticsubtractiontos16fixture',['NEArithmeticSubtractionToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a92b40d93abb4bc8581f212b64ab743e0',1,'arm_compute::test::validation']]],
-  ['nebatchnormalizationlayerfixedpointfixture',['NEBatchNormalizationLayerFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9b5c93207d230840dd48aef090f3ab04',1,'arm_compute::test::validation']]],
   ['nebatchnormalizationlayerfixture',['NEBatchNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac7369c169e6de526fcb6f68e4a959444',1,'arm_compute::test::benchmark::NEBatchNormalizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac8906ce871f33363926bf6bfc0e5e41e',1,'arm_compute::test::validation::NEBatchNormalizationLayerFixture()']]],
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   ['nebitwisenotfixture',['NEBitwiseNotFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a33813e8f903c3d533681b70642607b5a',1,'arm_compute::test::validation']]],
@@ -25,8 +20,10 @@
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   ['nebox3x3fixture',['NEBox3x3Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a471c06558365a34e9febb387d96ba917',1,'arm_compute::test::validation']]],
   ['nebox3x3fp16kernel',['NEBox3x3FP16Kernel',['../namespacearm__compute.xhtml#a96f7f6f98dc47e0dc3b928bf87397ebf',1,'arm_compute']]],
+  ['necannyedgefixture',['NECannyEdgeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a12b54c51101bcd1abb70339b8f13ec0b',1,'arm_compute::test::benchmark::NECannyEdgeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c9d15fd8600e0383550f5a8438d8f4',1,'arm_compute::test::validation::NECannyEdgeFixture()']]],
   ['nechannelcombinefixture',['NEChannelCombineFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af3d8b7240e257828d0c3a662f213ea66',1,'arm_compute::test::validation']]],
   ['nechannelextractfixture',['NEChannelExtractFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a46ea17e00c8ddea1beff5ad9d1c544ca',1,'arm_compute::test::validation']]],
+  ['necolorconvertfixture',['NEColorConvertFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab8fb396866bcf9936ff357f16a871325',1,'arm_compute::test::benchmark::NEColorConvertFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae33301a680563529b6c78984161efd47',1,'arm_compute::test::validation::NEColorConvertFixture()']]],
   ['neconvertfullyconnectedweightsfixture',['NEConvertFullyConnectedWeightsFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a67b53a9baee529f30a4de8cd833f6bd5',1,'arm_compute::test::validation']]],
   ['neconvolution3x3kernel',['NEConvolution3x3Kernel',['../namespacearm__compute.xhtml#acf81639b3d33b5da654ef088e4d10520',1,'arm_compute']]],
   ['neconvolution5x5',['NEConvolution5x5',['../namespacearm__compute.xhtml#adbc7771d367ba8f51da1450d3602e5c0',1,'arm_compute']]],
@@ -35,14 +32,12 @@
   ['neconvolution7x7kernel',['NEConvolution7x7Kernel',['../namespacearm__compute.xhtml#ae46cbbe03d31c6c8e7eba7b58999842d',1,'arm_compute']]],
   ['neconvolution9x9',['NEConvolution9x9',['../namespacearm__compute.xhtml#ae5a088552f26a1afafd0cbf821d256fb',1,'arm_compute']]],
   ['neconvolution9x9kernel',['NEConvolution9x9Kernel',['../namespacearm__compute.xhtml#a1025306f820a9e76df7e5891caacff7b',1,'arm_compute']]],
-  ['neconvolutionfixture',['NEConvolutionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a08ae3fbb4831fbf813085a8333e6fb42',1,'arm_compute::test::validation']]],
+  ['neconvolutionfixture',['NEConvolutionFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3a8d9dbaeda26c4fafdfe031dd68017a',1,'arm_compute::test::benchmark::NEConvolutionFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a08ae3fbb4831fbf813085a8333e6fb42',1,'arm_compute::test::validation::NEConvolutionFixture()']]],
+  ['necopyfixture',['NECopyFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6be742b6456804dfb0d62030f90511b',1,'arm_compute::test::validation']]],
   ['nedeconvolutionlayerfixture1x1',['NEDeconvolutionLayerFixture1x1',['../namespacearm__compute_1_1test_1_1validation.xhtml#a538208282c3b9b8cc121cf8508d2a3e6',1,'arm_compute::test::validation']]],
   ['nedeconvolutionlayerfixture3x3',['NEDeconvolutionLayerFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f11ca8ba5bd1808affd7cb00cd6ec70',1,'arm_compute::test::validation']]],
   ['nedeconvolutionlayerfixture4x4',['NEDeconvolutionLayerFixture4x4',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc7e218231a8128f71ecf1beaef1b9c5',1,'arm_compute::test::validation']]],
   ['nedepthconcatenatelayerfixture',['NEDepthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac1621ae0b84d28f536bf10b0b8667ea7',1,'arm_compute::test::benchmark::NEDepthConcatenateLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2edd00299986f6f9945504cb6af06c21',1,'arm_compute::test::validation::NEDepthConcatenateLayerFixture()']]],
-  ['nedepthconvertlayertofp32fixedpointfixture',['NEDepthConvertLayerToFP32FixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad14491fe49a7615e68c08ef2497bd703',1,'arm_compute::test::validation']]],
-  ['nedepthconvertlayertoqs16fixedpointfixture',['NEDepthConvertLayerToQS16FixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#abb25ab75afae270d4e39b7a81daa2864',1,'arm_compute::test::validation']]],
-  ['nedepthconvertlayertoqs8fixedpointfixture',['NEDepthConvertLayerToQS8FixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3430329e55d600b885498ab229126ebe',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertos16fixture',['NEDepthConvertLayerToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc0479e4b3b5d92ec9584c946ed7beac',1,'arm_compute::test::validation']]],
   ['nedepthconvertlayertos32fixture',['NEDepthConvertLayerToS32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aec2e7679decb05eca751a7ad3fe1c310',1,'arm_compute::test::validation']]],
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@@ -56,77 +51,71 @@
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-  ['nedirectconvolutionlayerfixedpointfixture',['NEDirectConvolutionLayerFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa649a5972a5d0aecea568824038cd66d',1,'arm_compute::test::validation']]],
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-  ['nefastcornersfixture',['NEFastCornersFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a91c3c0dac7b566f39e6dc2012772c6c7',1,'arm_compute::test::validation']]],
-  ['nefixedpointfixture',['NEFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9736531e44c325a6854828f1762a0362',1,'arm_compute::test::validation']]],
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index 362e8b1..389b485 100644
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