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index 152a1b0..4f30255 100644
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+ ['clgemmreshaperhsmatrixkernelmanaged',['CLGEMMReshapeRHSMatrixKernelManaged',['../classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml',1,'arm_compute::weights_transformations']]],
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+ ['clinstancenormalizationlayer_2ecpp',['CLInstanceNormalizationLayer.cpp',['../_c_l_instance_normalization_layer_8cpp.xhtml',1,'']]],
+ ['clinstancenormalizationlayer_2eh',['CLInstanceNormalizationLayer.h',['../_c_l_instance_normalization_layer_8h.xhtml',1,'']]],
+ ['clinstancenormalizationlayerfixture',['CLInstanceNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc6655ec06ad3e1aece58d611a87614a',1,'arm_compute::test::validation']]],
+ ['clinstancenormalizationlayerfixture_3c_20half_20_3e',['CLInstanceNormalizationLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c8cf066c5c57ab026598ccc0ec55a7b',1,'arm_compute::test::validation']]],
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+ ['clinstancenormalizationlayerkernel_2eh',['CLInstanceNormalizationLayerKernel.h',['../_c_l_instance_normalization_layer_kernel_8h.xhtml',1,'']]],
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+ ['cllogsoftmaxlayer',['CLLogSoftmaxLayer',['../namespacearm__compute.xhtml#aa02883dd85b75a6eb0d4878f266908dd',1,'arm_compute']]],
+ ['cllogsoftmaxlayerfixture',['CLLogSoftmaxLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a88bc8aeaef3bfc5061f36067b29d9810',1,'arm_compute::test::validation']]],
+ ['cllogsoftmaxlayerquantizedfixture',['CLLogSoftmaxLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af056a83c5ab2dbf08a1dd0fff1776162',1,'arm_compute::test::validation']]],
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['clquantizationlayerkernel_2eh',['CLQuantizationLayerKernel.h',['../_c_l_quantization_layer_kernel_8h.xhtml',1,'']]],
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+ ['clruntimecontext_2ecpp',['CLRuntimeContext.cpp',['../_c_l_runtime_context_8cpp.xhtml',1,'']]],
+ ['clruntimecontext_2eh',['CLRuntimeContext.h',['../_c_l_runtime_context_8h.xhtml',1,'']]],
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- ['clscheduler',['CLScheduler',['../classarm__compute_1_1_c_l_scheduler.xhtml',1,'arm_compute']]],
+ ['clscheduler',['CLScheduler',['../classarm__compute_1_1_c_l_scheduler.xhtml',1,'CLScheduler'],['../classarm__compute_1_1_c_l_scheduler.xhtml#a98c15ddf61f1cf0c8d90429f41db09fb',1,'arm_compute::CLScheduler::CLScheduler()'],['../classarm__compute_1_1_c_l_scheduler.xhtml#aa2696485a5840b821fad063ee439fca4',1,'arm_compute::CLScheduler::CLScheduler(const CLScheduler &)=delete']]],
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+ ['clsoftmaxlayer',['CLSoftmaxLayer',['../namespacearm__compute.xhtml#a30ce3b40394b4f2d1e4cc31db7183425',1,'arm_compute']]],
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+ ['clsoftmaxlayergeneric',['CLSoftmaxLayerGeneric',['../classarm__compute_1_1_c_l_softmax_layer_generic.xhtml',1,'CLSoftmaxLayerGeneric< IS_LOG >'],['../classarm__compute_1_1_c_l_softmax_layer_generic.xhtml#a21c529666f0d9c998cdae7c52bea4fc1',1,'arm_compute::CLSoftmaxLayerGeneric::CLSoftmaxLayerGeneric()']]],
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['clsynthetizefunction',['CLSynthetizeFunction',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
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+ ['clsynthetizefunction_3c_20clgemmmatrixmultiplyreshapedkernel_20_3e',['CLSynthetizeFunction< CLGEMMMatrixMultiplyReshapedKernel >',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
+ ['clsynthetizefunction_3c_20clgemmmatrixmultiplyreshapedonlyrhskernel_20_3e',['CLSynthetizeFunction< CLGEMMMatrixMultiplyReshapedOnlyRHSKernel >',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
+ ['clsynthetizefunction_3c_20clgemmreshapelhsmatrixkernel_20_3e',['CLSynthetizeFunction< CLGEMMReshapeLHSMatrixKernel >',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
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zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo", { 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("OutputInfo", { 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("ConvInfo", { 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("GpuTarget", { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST })), framework::dataset::make("Dilation", { 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("EnableFastMath", { false, false, false, false, false, false, true, true })), framework::dataset::make("Expected",{ 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#abb065a41d5c0bce8f2e6434d622d1b0d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), GroupedCNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee35477d880f96a3452748151cef29ad',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(14U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(14U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), })), framework::dataset::make("Expected", { false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04e62cc8a8ee2c1853ae213dc465c9be',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::U8), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), }), framework::dataset::make("BoxesInfo",{ TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(3, 20), 1, DataType::F32), })), framework::dataset::make("BoxIndInfo",{ TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(10), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 10U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::S32), TensorInfo(TensorShape(5U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false, false, false})), input, boxes, box_ind, output, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09dfd649bde45b9abda8b839a0c84e1c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo", { 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("BiasInfo", { 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("OutputInfo",{ 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("PadStrideInfo", { 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("Expected", { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378b53971fc5c47dc3205c5cbe769a24',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo1", { 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("InputInfo2", { 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("OutputInfo", { 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("Expected", { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a308fdbbdd8acf151212546da812f9241',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), 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(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U16), })), framework::dataset::make("Policy",{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make("Shift",{ 1, 1, 8, 1, 1, 1, })), framework::dataset::make("Expected", { false, false, false, false, false, true})), input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9716de1edbd47e39aea19510d8667dc7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e4970f770f23aaa759017adf107da3e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 8U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make("BlockShape", { 2, 1, 2, 2, 2 })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 16U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(64U, 16U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false})), input_info, block_shape, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed5f7a9b1bde3cc3a789cd674974e254',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { 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, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { 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(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), 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(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), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, 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, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1746a40504c1600cad5df8b24c2c928e',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { 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, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { 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(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), 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, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37cb466fcacd191071bf2d6d4a1dba5e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a484fa4160f71724020a18b1c8210fd11',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2984963251e0e13f3b22490d7d903c85',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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), 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datasets::Large2DShapes()), framework::dataset::make("Format", Format::U8)), framework::dataset::make("SuppressNonMax", { false, true })), framework::dataset::make("BorderMode", BorderMode::UNDEFINED)), shape, format, suppress_nonmax, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ffb413e9772313766b4b43391198db1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(shapes_1d, data_types), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125a57a33ba8fbeae87a14ce35b20112',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 3, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F16), TensorInfo(TensorShape(16U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), })), framework::dataset::make("Axis", { 0, 0, 0, 2, 0, 0 })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f2fb01edb34ba6ddb05de976663c471',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 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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("BiasInfo",{ 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("OutputInfo",{ 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("TransposeWeights",{ true, true, false, true, true })), framework::dataset::make("ReshapedWeights",{ false, false, false, false, false})), framework::dataset::make("Expected", { 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#a79ab40d66042668672184704ffc8b86e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), }), 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DataType::F32), })), framework::dataset::make("CellBiasInfo", { 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("ProjectionBiasInfo", { 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("CellStateInfo", { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), 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TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { 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("WinogradInfo", { 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, 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DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false})), input_info, block_shape, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed5f7a9b1bde3cc3a789cd674974e254',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { 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, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { 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(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), 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(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), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, 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, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1746a40504c1600cad5df8b24c2c928e',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { 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, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { 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(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), 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, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37cb466fcacd191071bf2d6d4a1dba5e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, true, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7aadc4b7727668e738a6e31fe7a12f3d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make("Format", Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4fdf7f045788a948ee31e97a076d639',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), 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("WeightsInfo", { 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("OutputInfo", { 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("ConvInfo", { 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("GpuTarget", { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, 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#a484fa4160f71724020a18b1c8210fd11',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2984963251e0e13f3b22490d7d903c85',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U, 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("BiasesInfo",{ 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("OutputInfo",{ 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("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(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("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make("Expected", { 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#ab0661dab56621eb39f7ed24eef46dd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a44a32dc2e6237db86ca823ac2440b5e7',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), 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TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make("ProjectionBiasInfo", { 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("CellStateInfo", { 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("OutputInfo", { 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, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make("ScratchInfo", { 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), })), 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framework::dataset::make("WeightsInfo", { 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("OutputInfo", { 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("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make("FastMath", { true, true, false, false })), framework::dataset::make("Expected", { 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#ab44b66bad182905ba55f96ee494e8e73',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { 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("OutputInfo",{ 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("Expected", { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71b2bcfadb2d0be741a44200a2940692',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallDeconvolutionShapes(), framework::dataset::make("DataType", DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c75c90dfaf4c3c6a8c246b7c898af50',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U16), 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(27U, 13U, 2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make("Policy",{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make("Shift",{ 1, 1, 1, 1, 1, 1, 8, 1, })), framework::dataset::make("Expected", { false, false, false, false, true})), input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a542f3ac6e2b72fc1990b27519c9cf3f5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerZeroShiftDataset), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13906c8cbe4233df5fef380802decdd9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo", { 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), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make("BiasesInfo", { 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), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo", { 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), 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1U), Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b6324e6a1f3b0e53d71a14617026fcd',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { 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, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { 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(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), 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, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0840a58374486ee7d8ca3c3eb2c06430',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, 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zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo", { 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("OutputInfo", { 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("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make("Dilation", { Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make("Expected", { 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#a69ea3c5dd19aaf289330db00e8cd20a8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo",{ 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("BiasesInfo",{ 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("OutputInfo",{ 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("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(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make("Expected", { 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#ad0430585d83ec7ac6d5b857415d62906',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a283cdb9d06e3a1a3f1adfd69c8afa313',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cc3776357bdc1a71c8731f249de098c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc9d454e2284b99075b4362baea8c238',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, 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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fbf0e6a1c8356ad0918515bb1310e1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo",{ 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("BiasInfo",{ 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("OutputInfo",{ 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("TransposeWeights",{ true, true, false, true, true, true })), framework::dataset::make("ReshapedWeights",{ false, false, false, false, false, false})), framework::dataset::make("Expected", { 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#aa1ce956bb3fa59263550acbad4f07423',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), }), framework::dataset::make("IndicesInfo", { TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U8), TensorInfo(TensorShape(10U, 10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), TensorInfo(TensorShape(10U), 1, DataType::U32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), })), framework::dataset::make("Axis", { 0, 1, -2, 0, 1, 0, 1, 2, -3, })), framework::dataset::make("Expected", { true, true, false, false, false, false, false, false })), input_info, indices_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11fd6d63471dbfe356bf3f9a8148d15a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make("DataType", { DataType::F32 })), input_shape, indices_shape, axis, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2492479cb961e36976a096e29d2b9d4',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#a7fbe9343f61b58335701e0d7a6200ce1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputAInfo", { 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("InputBInfo",{ 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("OutputInfo",{ 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("Expected", { false, false, false, false, true })), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39e8116f6234a2d52f9c819fe6ca1c90',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputAInfo", { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), }), framework::dataset::make("InputBInfo",{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), })), framework::dataset::make("Min",{ 0, 8, 13, })), framework::dataset::make("Max",{ 205, 300, 180, })), framework::dataset::make("Expected", { true, false, false })), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45dfda69a9789e4e69365236d1dfcc35',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputAInfo", { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), }), framework::dataset::make("InputBInfo",{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QSYMM16), TensorInfo(TensorShape(21U, 13U), 1, DataType::QSYMM16), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), })), framework::dataset::make("Min",{ -205, -60000, -180, })), framework::dataset::make("Max",{ 205, 60000, 180, })), framework::dataset::make("Expected", { true, false, false })), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a608d56d2d842ec96c43a583327f6dd35',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_int16_scale_by_fixedpoint_cases), shape, result_fixedpoint_multiplier, result_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2631171dcf2992c9af515b0451018d7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data), framework::dataset::make("Format", Format::U8)), shape, gradient_size, block_size, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a38687ff5ecd0fb54fc81a36a3b28a32a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 15U, 5U), 1, DataType::F32), TensorInfo(TensorShape(22U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 25U, 5U), 1, DataType::F32), TensorInfo(TensorShape(35U, 21U, 5U), 1, DataType::F32) }), framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(23U, 15U, 4U), 1, DataType::F32), TensorInfo(TensorShape(22U, 127U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 26U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 25U, 5U), 1, DataType::F32), TensorInfo(TensorShape(35U, 10U, 5U), 1, DataType::F32) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(23U, 30U, 5U), 1, DataType::F16), TensorInfo(TensorShape(22U, 12U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 7U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 50U, 5U), 1, DataType::F32), TensorInfo(TensorShape(35U, 31U, 5U), 1, DataType::F32) })), framework::dataset::make("Expected", { false, false, false, true, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afaa077b528557e3df09361e7a998f361',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { 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("OutputInfo",{ 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("HasBias", { true, true, true, false, false })), framework::dataset::make("Expected", { false, false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb41135a5f841f7ff28c675e058b1b11',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo",{ 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("BiasInfo", { 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("OutputInfo", { 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("PadStride", { 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("Expected", { 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#a6498b224c9fcde95311d04ab92e9ecf1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), framework::dataset::make("DataType", DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7d89f8b6714c942b5d8f0c363b863a2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::S16)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d2f5d2790a1491bfa9b326bb93a90c6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { 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("OutputInfo",{ 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("NormInfo", { 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("Expected", { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4276fdfdcd468299e18b3046d019e760',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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), 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("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32) })), framework::dataset::make("PaddingSize", { PaddingList{{0, 0}}, PaddingList{{1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{1, 1}, {1, 1}, {1, 1}, {1, 1}}, PaddingList{{0, 0}, {1, 0}, {0, 1}, {1, 2}}, PaddingList{{0, 0}, {0, 0}, {0, 0}, {1, 1}}, PaddingList{{0, 0}}, PaddingList{{1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{1, 1}, {1, 1}, {1, 1}, {1, 1}}, PaddingList{{0, 0}, {1, 0}, {0, 1}, {1, 2}}, PaddingList{{0, 0}, {0, 0}, {0, 0}, {1, 1}} })), framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::REFLECT, PaddingMode::REFLECT, PaddingMode::REFLECT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })), framework::dataset::make("Expected", { false, false, true, true, true, true, false, false, true, false, false, true })), input_info, output_info, padding, mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a162f3cbf36f25099d89afc0d3aab5786',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("Input1Info", { 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), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), 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DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), })), framework::dataset::make("Expected", { false, false, false, false, true, true})), src_info, dst_info, axis_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71312f987688bcde305a812d35b13dd3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(27U, 11U), 1, 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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("OutputInfo", { 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("HiddenStateInfo", { 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("ActivationInfo", { 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("Expected", { false, false, false, false, false, false, false, true })), input_info, weights_info, 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TensorInfo(TensorShape(5, 10U), 1, DataType::F32), TensorInfo(TensorShape(4, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F16), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 3U, 4U), 1, DataType::F32), })), framework::dataset::make("PoolInfo", { ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), })), framework::dataset::make("Expected", { true, false, false, false, false, false, false })), 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index b3c66cc..c824ed9 100644
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index 506b5a1..f375482 100644
--- a/documentation/search/classes_10.js
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+ ['promote',['promote',['../structarm__compute_1_1test_1_1traits_1_1promote.xhtml',1,'promote< T >'],['../structarm__compute_1_1wrapper_1_1traits_1_1promote.xhtml',1,'promote< T >']]],
+ ['promote_3c_20float_20_3e',['promote< float >',['../structarm__compute_1_1wrapper_1_1traits_1_1promote_3_01float_01_4.xhtml',1,'promote< float >'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01float_01_4.xhtml',1,'promote< float >']]],
+ ['promote_3c_20half_20_3e',['promote< half >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01half_01_4.xhtml',1,'promote< half >'],['../structarm__compute_1_1wrapper_1_1traits_1_1promote_3_01half_01_4.xhtml',1,'promote< half >']]],
+ ['promote_3c_20int16_5ft_20_3e',['promote< int16_t >',['../structarm__compute_1_1wrapper_1_1traits_1_1promote_3_01int16__t_01_4.xhtml',1,'promote< int16_t >'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int16__t_01_4.xhtml',1,'promote< int16_t >']]],
+ ['promote_3c_20int32_5ft_20_3e',['promote< int32_t >',['../structarm__compute_1_1wrapper_1_1traits_1_1promote_3_01int32__t_01_4.xhtml',1,'promote< int32_t >'],['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int32__t_01_4.xhtml',1,'promote< int32_t >']]],
+ ['promote_3c_20int8_5ft_20_3e',['promote< int8_t >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01int8__t_01_4.xhtml',1,'promote< int8_t >'],['../structarm__compute_1_1wrapper_1_1traits_1_1promote_3_01int8__t_01_4.xhtml',1,'promote< int8_t >']]],
+ ['promote_3c_20uint16_5ft_20_3e',['promote< uint16_t >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint16__t_01_4.xhtml',1,'promote< uint16_t >'],['../structarm__compute_1_1wrapper_1_1traits_1_1promote_3_01uint16__t_01_4.xhtml',1,'promote< uint16_t >']]],
+ ['promote_3c_20uint32_5ft_20_3e',['promote< uint32_t >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint32__t_01_4.xhtml',1,'promote< uint32_t >'],['../structarm__compute_1_1wrapper_1_1traits_1_1promote_3_01uint32__t_01_4.xhtml',1,'promote< uint32_t >']]],
+ ['promote_3c_20uint8_5ft_20_3e',['promote< uint8_t >',['../structarm__compute_1_1test_1_1traits_1_1promote_3_01uint8__t_01_4.xhtml',1,'promote< uint8_t >'],['../structarm__compute_1_1wrapper_1_1traits_1_1promote_3_01uint8__t_01_4.xhtml',1,'promote< uint8_t >']]],
['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 cd1a5f6..aaee89f 100644
--- a/documentation/search/classes_12.js
+++ b/documentation/search/classes_12.js
@@ -12,6 +12,8 @@
['relu',['relu',['../structarm__compute_1_1detail_1_1relu.xhtml',1,'arm_compute::detail']]],
['reorglayer',['ReorgLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_reorg_layer.xhtml',1,'arm_compute::graph::frontend']]],
['reorglayernode',['ReorgLayerNode',['../classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml',1,'arm_compute::graph']]],
+ ['reshapedgemmconfig',['ReshapedGEMMConfig',['../class_gemm_tuner_1_1_reshaped_g_e_m_m_config.xhtml',1,'GemmTuner']]],
+ ['reshapedonlyrhsgemmconfig',['ReshapedOnlyRHSGEMMConfig',['../class_gemm_tuner_1_1_reshaped_only_r_h_s_g_e_m_m_config.xhtml',1,'GemmTuner']]],
['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']]],
@@ -19,5 +21,6 @@
['reverse_5fiterable',['reverse_iterable',['../classarm__compute_1_1utils_1_1iterable_1_1reverse__iterable.xhtml',1,'arm_compute::utils::iterable']]],
['roialignlayer',['ROIAlignLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_r_o_i_align_layer.xhtml',1,'arm_compute::graph::frontend']]],
['roialignlayernode',['ROIAlignLayerNode',['../classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml',1,'arm_compute::graph']]],
- ['roipoolinglayerinfo',['ROIPoolingLayerInfo',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml',1,'arm_compute']]]
+ ['roipoolinglayerinfo',['ROIPoolingLayerInfo',['../classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml',1,'arm_compute']]],
+ ['runtimecontext',['RuntimeContext',['../classarm__compute_1_1_runtime_context.xhtml',1,'arm_compute']]]
];
diff --git a/documentation/search/classes_13.js b/documentation/search/classes_13.js
index 516c349..c923033 100644
--- a/documentation/search/classes_13.js
+++ b/documentation/search/classes_13.js
@@ -4,6 +4,7 @@
['scalelayer',['ScaleLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_scale_layer.xhtml',1,'arm_compute::graph::frontend']]],
['scheduler',['Scheduler',['../classarm__compute_1_1_scheduler.xhtml',1,'arm_compute']]],
['schedulerclock',['SchedulerClock',['../classarm__compute_1_1test_1_1framework_1_1_scheduler_clock.xhtml',1,'arm_compute::test::framework']]],
+ ['schedulerfactory',['SchedulerFactory',['../classarm__compute_1_1_scheduler_factory.xhtml',1,'arm_compute']]],
['semaphore',['Semaphore',['../classarm__compute_1_1_semaphore.xhtml',1,'arm_compute']]],
['simpleoption',['SimpleOption',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
['simpleoption_3c_20arm_5fcompute_3a_3acltunermode_20_3e',['SimpleOption< arm_compute::CLTunerMode >',['../classarm__compute_1_1utils_1_1_simple_option.xhtml',1,'arm_compute::utils']]],
@@ -11,9 +12,11 @@
['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_20float_20_3e',['SimpleOption< float >',['../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_20size_5ft_20_3e',['SimpleOption< size_t >',['../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']]],
['simpleoption_3c_20unsigned_20int_20_3e',['SimpleOption< unsigned int >',['../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']]],
@@ -25,6 +28,7 @@
['size2d',['Size2D',['../classarm__compute_1_1_size2_d.xhtml',1,'arm_compute']]],
['slicelayer',['SliceLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_slice_layer.xhtml',1,'arm_compute::graph::frontend']]],
['slicelayernode',['SliceLayerNode',['../classarm__compute_1_1graph_1_1_slice_layer_node.xhtml',1,'arm_compute::graph']]],
+ ['softmaxkernelinfo',['SoftmaxKernelInfo',['../structarm__compute_1_1_softmax_kernel_info.xhtml',1,'arm_compute']]],
['softmaxlayer',['SoftmaxLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_softmax_layer.xhtml',1,'arm_compute::graph::frontend']]],
['softmaxlayernode',['SoftmaxLayerNode',['../classarm__compute_1_1graph_1_1_softmax_layer_node.xhtml',1,'arm_compute::graph']]],
['splitlayernode',['SplitLayerNode',['../classarm__compute_1_1graph_1_1_split_layer_node.xhtml',1,'arm_compute::graph']]],
diff --git a/documentation/search/classes_14.js b/documentation/search/classes_14.js
index 5c31a75..d465285 100644
--- a/documentation/search/classes_14.js
+++ b/documentation/search/classes_14.js
@@ -1,7 +1,7 @@
var searchData=
[
['taskexecutor',['TaskExecutor',['../classarm__compute_1_1graph_1_1_task_executor.xhtml',1,'arm_compute::graph']]],
- ['tensor',['Tensor',['../classarm__compute_1_1_tensor.xhtml',1,'Tensor'],['../classarm__compute_1_1graph_1_1_tensor.xhtml',1,'Tensor']]],
+ ['tensor',['Tensor',['../classarm__compute_1_1graph_1_1_tensor.xhtml',1,'Tensor'],['../classarm__compute_1_1_tensor.xhtml',1,'Tensor']]],
['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']]],
@@ -9,6 +9,7 @@
['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']]],
['tensorinfo',['TensorInfo',['../classarm__compute_1_1_tensor_info.xhtml',1,'arm_compute']]],
+ ['tensorparams',['TensorParams',['../structarm__compute_1_1utils_1_1_tensor_params.xhtml',1,'arm_compute::utils']]],
['tensorshape',['TensorShape',['../classarm__compute_1_1_tensor_shape.xhtml',1,'arm_compute']]],
['testcase',['TestCase',['../classarm__compute_1_1test_1_1framework_1_1_test_case.xhtml',1,'arm_compute::test::framework']]],
['testcasefactory',['TestCaseFactory',['../classarm__compute_1_1test_1_1framework_1_1_test_case_factory.xhtml',1,'arm_compute::test::framework']]],
diff --git a/documentation/search/classes_16.js b/documentation/search/classes_16.js
index 8e052d2..bfad8f2 100644
--- a/documentation/search/classes_16.js
+++ b/documentation/search/classes_16.js
@@ -1,10 +1,13 @@
var searchData=
[
+ ['validateexample',['ValidateExample',['../classarm__compute_1_1utils_1_1_validate_example.xhtml',1,'arm_compute::utils']]],
['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,'']]],
['vector_5f128_5ftag',['vector_128_tag',['../structarm__compute_1_1wrapper_1_1traits_1_1vector__128__tag.xhtml',1,'arm_compute::wrapper::traits']]],
- ['vector_5f64_5ftag',['vector_64_tag',['../structarm__compute_1_1wrapper_1_1traits_1_1vector__64__tag.xhtml',1,'arm_compute::wrapper::traits']]]
+ ['vector_5f64_5ftag',['vector_64_tag',['../structarm__compute_1_1wrapper_1_1traits_1_1vector__64__tag.xhtml',1,'arm_compute::wrapper::traits']]],
+ ['verificationparams',['VerificationParams',['../structarm__compute_1_1utils_1_1_verification_params.xhtml',1,'arm_compute::utils']]],
+ ['verifyaccessor',['VerifyAccessor',['../classarm__compute_1_1utils_1_1_verify_accessor.xhtml',1,'arm_compute::utils']]]
];
diff --git a/documentation/search/classes_17.js b/documentation/search/classes_17.js
index f55cc51..bd466ce 100644
--- a/documentation/search/classes_17.js
+++ b/documentation/search/classes_17.js
@@ -2,6 +2,7 @@
[
['wallclock',['WallClock',['../classarm__compute_1_1test_1_1framework_1_1_wall_clock.xhtml',1,'arm_compute::test::framework']]],
['weightsinfo',['WeightsInfo',['../classarm__compute_1_1_weights_info.xhtml',1,'arm_compute']]],
+ ['weightsmanagercontext',['WeightsManagerContext',['../structarm__compute_1_1graph_1_1_weights_manager_context.xhtml',1,'arm_compute::graph']]],
['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_2.js b/documentation/search/classes_2.js
index a53c958..6071979 100644
--- a/documentation/search/classes_2.js
+++ b/documentation/search/classes_2.js
@@ -5,6 +5,7 @@
['barrier',['barrier',['../classarm__gemm_1_1barrier.xhtml',1,'arm_gemm']]],
['batchnormalizationlayer',['BatchNormalizationLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_batch_normalization_layer.xhtml',1,'arm_compute::graph::frontend']]],
['batchnormalizationlayernode',['BatchNormalizationLayerNode',['../classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml',1,'arm_compute::graph']]],
+ ['benchmarkresult',['BenchmarkResult',['../class_gemm_tuner_1_1_benchmark_result.xhtml',1,'GemmTuner']]],
['bifrosttuner',['BifrostTuner',['../classarm__compute_1_1tuners_1_1_bifrost_tuner.xhtml',1,'arm_compute::tuners']]],
['blobinfo',['BlobInfo',['../structarm__compute_1_1_blob_info.xhtml',1,'arm_compute']]],
['bloblifetimemanager',['BlobLifetimeManager',['../classarm__compute_1_1_blob_lifetime_manager.xhtml',1,'arm_compute']]],
diff --git a/documentation/search/classes_3.js b/documentation/search/classes_3.js
index f5028ca..4b5ddfa 100644
--- a/documentation/search/classes_3.js
+++ b/documentation/search/classes_3.js
@@ -69,16 +69,19 @@
['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']]],
+ ['clconvertfullyconnectedweightsmanaged',['CLConvertFullyConnectedWeightsManaged',['../classarm__compute_1_1weights__transformations_1_1_c_l_convert_fully_connected_weights_managed.xhtml',1,'arm_compute::weights_transformations']]],
['clconvolution3x3',['CLConvolution3x3',['../classarm__compute_1_1_c_l_convolution3x3.xhtml',1,'arm_compute']]],
['clconvolutionkernel',['CLConvolutionKernel',['../classarm__compute_1_1_c_l_convolution_kernel.xhtml',1,'arm_compute']]],
['clconvolutionlayer',['CLConvolutionLayer',['../classarm__compute_1_1_c_l_convolution_layer.xhtml',1,'arm_compute']]],
['clconvolutionlayerreshapeweights',['CLConvolutionLayerReshapeWeights',['../classarm__compute_1_1_c_l_convolution_layer_reshape_weights.xhtml',1,'arm_compute']]],
+ ['clconvolutionlayerreshapeweightstransform',['CLConvolutionLayerReshapeWeightsTransform',['../classarm__compute_1_1weights__transformations_1_1_c_l_convolution_layer_reshape_weights_transform.xhtml',1,'arm_compute::weights_transformations']]],
['clconvolutionrectangle',['CLConvolutionRectangle',['../classarm__compute_1_1_c_l_convolution_rectangle.xhtml',1,'arm_compute']]],
['clconvolutionrectanglekernel',['CLConvolutionRectangleKernel',['../classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml',1,'arm_compute']]],
['clconvolutionsquare',['CLConvolutionSquare',['../classarm__compute_1_1_c_l_convolution_square.xhtml',1,'arm_compute']]],
['clcopy',['CLCopy',['../classarm__compute_1_1_c_l_copy.xhtml',1,'arm_compute']]],
['clcopykernel',['CLCopyKernel',['../classarm__compute_1_1_c_l_copy_kernel.xhtml',1,'arm_compute']]],
['clcopytoarraykernel',['CLCopyToArrayKernel',['../classarm__compute_1_1_c_l_copy_to_array_kernel.xhtml',1,'arm_compute']]],
+ ['clcoreruntimecontext',['CLCoreRuntimeContext',['../classarm__compute_1_1_c_l_core_runtime_context.xhtml',1,'arm_compute']]],
['clcropkernel',['CLCropKernel',['../classarm__compute_1_1_c_l_crop_kernel.xhtml',1,'arm_compute']]],
['clcropresize',['CLCropResize',['../classarm__compute_1_1_c_l_crop_resize.xhtml',1,'arm_compute']]],
['cldeconvolutionlayer',['CLDeconvolutionLayer',['../classarm__compute_1_1_c_l_deconvolution_layer.xhtml',1,'arm_compute']]],
@@ -94,11 +97,8 @@
['cldepthwiseconvolutionlayer3x3',['CLDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml',1,'arm_compute']]],
['cldepthwiseconvolutionlayer3x3nchwkernel',['CLDepthwiseConvolutionLayer3x3NCHWKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml',1,'arm_compute']]],
['cldepthwiseconvolutionlayer3x3nhwckernel',['CLDepthwiseConvolutionLayer3x3NHWCKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml',1,'arm_compute']]],
- ['cldepthwiseconvolutionlayerreshapeweightsgenerickernel',['CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel.xhtml',1,'arm_compute']]],
+ ['cldepthwiseconvolutionlayernativekernel',['CLDepthwiseConvolutionLayerNativeKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer_native_kernel.xhtml',1,'arm_compute']]],
['cldepthwiseconvolutionlayerreshapeweightskernel',['CLDepthwiseConvolutionLayerReshapeWeightsKernel',['../classarm__compute_1_1_c_l_depthwise_convolution_layer_reshape_weights_kernel.xhtml',1,'arm_compute']]],
- ['cldepthwiseim2colkernel',['CLDepthwiseIm2ColKernel',['../classarm__compute_1_1_c_l_depthwise_im2_col_kernel.xhtml',1,'arm_compute']]],
- ['cldepthwiseseparableconvolutionlayer',['CLDepthwiseSeparableConvolutionLayer',['../classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml',1,'arm_compute']]],
- ['cldepthwisevectortotensorkernel',['CLDepthwiseVectorToTensorKernel',['../classarm__compute_1_1_c_l_depthwise_vector_to_tensor_kernel.xhtml',1,'arm_compute']]],
['cldequantizationlayer',['CLDequantizationLayer',['../classarm__compute_1_1_c_l_dequantization_layer.xhtml',1,'arm_compute']]],
['cldequantizationlayerkernel',['CLDequantizationLayerKernel',['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml',1,'arm_compute']]],
['clderivative',['CLDerivative',['../classarm__compute_1_1_c_l_derivative.xhtml',1,'arm_compute']]],
@@ -109,7 +109,6 @@
['cldilatekernel',['CLDilateKernel',['../classarm__compute_1_1_c_l_dilate_kernel.xhtml',1,'arm_compute']]],
['cldirectconvolutionlayer',['CLDirectConvolutionLayer',['../classarm__compute_1_1_c_l_direct_convolution_layer.xhtml',1,'arm_compute']]],
['cldirectconvolutionlayerkernel',['CLDirectConvolutionLayerKernel',['../classarm__compute_1_1_c_l_direct_convolution_layer_kernel.xhtml',1,'arm_compute']]],
- ['cldirectconvolutionlayeroutputstagekernel',['CLDirectConvolutionLayerOutputStageKernel',['../classarm__compute_1_1_c_l_direct_convolution_layer_output_stage_kernel.xhtml',1,'arm_compute']]],
['cldirectdeconvolutionlayer',['CLDirectDeconvolutionLayer',['../classarm__compute_1_1_c_l_direct_deconvolution_layer.xhtml',1,'arm_compute']]],
['cldistribution1d',['CLDistribution1D',['../classarm__compute_1_1_c_l_distribution1_d.xhtml',1,'arm_compute']]],
['cledgenonmaxsuppressionkernel',['CLEdgeNonMaxSuppressionKernel',['../classarm__compute_1_1_c_l_edge_non_max_suppression_kernel.xhtml',1,'arm_compute']]],
@@ -141,6 +140,7 @@
['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']]],
['clfullyconnectedlayerreshapeweights',['CLFullyConnectedLayerReshapeWeights',['../classarm__compute_1_1_c_l_fully_connected_layer_reshape_weights.xhtml',1,'arm_compute']]],
+ ['clfullyconnectedlayerreshapeweightsmanaged',['CLFullyConnectedLayerReshapeWeightsManaged',['../classarm__compute_1_1weights__transformations_1_1_c_l_fully_connected_layer_reshape_weights_managed.xhtml',1,'arm_compute::weights_transformations']]],
['clfunctionfactory',['CLFunctionFactory',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_function_factory.xhtml',1,'arm_compute::graph::backends']]],
['clfusebatchnormalization',['CLFuseBatchNormalization',['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml',1,'arm_compute']]],
['clfusebatchnormalizationkernel',['CLFuseBatchNormalizationKernel',['../classarm__compute_1_1_c_l_fuse_batch_normalization_kernel.xhtml',1,'arm_compute']]],
@@ -177,7 +177,6 @@
['clgemmlowpquantizedownint32touint8scalebyfloatkernel',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_float_kernel.xhtml',1,'arm_compute']]],
['clgemmlowpquantizedownint32touint8scalekernel',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml',1,'arm_compute']]],
['clgemmmatrixaccumulatebiaseskernel',['CLGEMMMatrixAccumulateBiasesKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_accumulate_biases_kernel.xhtml',1,'arm_compute']]],
- ['clgemmmatrixadditionkernel',['CLGEMMMatrixAdditionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_addition_kernel.xhtml',1,'arm_compute']]],
['clgemmmatrixmultiplykernel',['CLGEMMMatrixMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml',1,'arm_compute']]],
['clgemmmatrixmultiplynativekernel',['CLGEMMMatrixMultiplyNativeKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_native_kernel.xhtml',1,'arm_compute']]],
['clgemmmatrixmultiplyreshapedkernel',['CLGEMMMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml',1,'arm_compute']]],
@@ -191,6 +190,7 @@
['clgemmreshapedonlyrhskernelconfigurationfactory',['CLGEMMReshapedOnlyRHSKernelConfigurationFactory',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_only_r_h_s_kernel_configuration_factory.xhtml',1,'arm_compute::cl_gemm']]],
['clgemmreshapelhsmatrixkernel',['CLGEMMReshapeLHSMatrixKernel',['../classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml',1,'arm_compute']]],
['clgemmreshaperhsmatrixkernel',['CLGEMMReshapeRHSMatrixKernel',['../classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml',1,'arm_compute']]],
+ ['clgemmreshaperhsmatrixkernelmanaged',['CLGEMMReshapeRHSMatrixKernelManaged',['../classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml',1,'arm_compute::weights_transformations']]],
['clgenerateproposalslayer',['CLGenerateProposalsLayer',['../classarm__compute_1_1_c_l_generate_proposals_layer.xhtml',1,'arm_compute']]],
['clgradientkernel',['CLGradientKernel',['../classarm__compute_1_1_c_l_gradient_kernel.xhtml',1,'arm_compute']]],
['clharriscorners',['CLHarrisCorners',['../classarm__compute_1_1_c_l_harris_corners.xhtml',1,'arm_compute']]],
@@ -209,6 +209,8 @@
['clhogmultidetection',['CLHOGMultiDetection',['../classarm__compute_1_1_c_l_h_o_g_multi_detection.xhtml',1,'arm_compute']]],
['clhogorientationbinningkernel',['CLHOGOrientationBinningKernel',['../classarm__compute_1_1_c_l_h_o_g_orientation_binning_kernel.xhtml',1,'arm_compute']]],
['clim2colkernel',['CLIm2ColKernel',['../classarm__compute_1_1_c_l_im2_col_kernel.xhtml',1,'arm_compute']]],
+ ['clinstancenormalizationlayer',['CLInstanceNormalizationLayer',['../classarm__compute_1_1_c_l_instance_normalization_layer.xhtml',1,'arm_compute']]],
+ ['clinstancenormalizationlayerkernel',['CLInstanceNormalizationLayerKernel',['../classarm__compute_1_1_c_l_instance_normalization_layer_kernel.xhtml',1,'arm_compute']]],
['clintegralimage',['CLIntegralImage',['../classarm__compute_1_1_c_l_integral_image.xhtml',1,'arm_compute']]],
['clintegralimagehorkernel',['CLIntegralImageHorKernel',['../classarm__compute_1_1_c_l_integral_image_hor_kernel.xhtml',1,'arm_compute']]],
['clintegralimagevertkernel',['CLIntegralImageVertKernel',['../classarm__compute_1_1_c_l_integral_image_vert_kernel.xhtml',1,'arm_compute']]],
@@ -268,6 +270,7 @@
['cloldvalue',['CLOldValue',['../structarm__compute_1_1_c_l_old_value.xhtml',1,'arm_compute']]],
['clopticalflow',['CLOpticalFlow',['../classarm__compute_1_1_c_l_optical_flow.xhtml',1,'arm_compute']]],
['clpadlayer',['CLPadLayer',['../classarm__compute_1_1_c_l_pad_layer.xhtml',1,'arm_compute']]],
+ ['clpadlayerkernel',['CLPadLayerKernel',['../classarm__compute_1_1_c_l_pad_layer_kernel.xhtml',1,'arm_compute']]],
['clpermute',['CLPermute',['../classarm__compute_1_1_c_l_permute.xhtml',1,'arm_compute']]],
['clpermutekernel',['CLPermuteKernel',['../classarm__compute_1_1_c_l_permute_kernel.xhtml',1,'arm_compute']]],
['clphase',['CLPhase',['../classarm__compute_1_1_c_l_phase.xhtml',1,'arm_compute']]],
@@ -302,6 +305,7 @@
['clroipoolinglayerkernel',['CLROIPoolingLayerKernel',['../classarm__compute_1_1_c_l_r_o_i_pooling_layer_kernel.xhtml',1,'arm_compute']]],
['clroundlayer',['CLRoundLayer',['../classarm__compute_1_1_c_l_round_layer.xhtml',1,'arm_compute']]],
['clrsqrtlayer',['CLRsqrtLayer',['../classarm__compute_1_1_c_l_rsqrt_layer.xhtml',1,'arm_compute']]],
+ ['clruntimecontext',['CLRuntimeContext',['../classarm__compute_1_1_c_l_runtime_context.xhtml',1,'arm_compute']]],
['clsaturatedarithmeticoperationkernel',['CLSaturatedArithmeticOperationKernel',['../classarm__compute_1_1_c_l_saturated_arithmetic_operation_kernel.xhtml',1,'arm_compute']]],
['clscale',['CLScale',['../classarm__compute_1_1_c_l_scale.xhtml',1,'arm_compute']]],
['clscalekernel',['CLScaleKernel',['../classarm__compute_1_1_c_l_scale_kernel.xhtml',1,'arm_compute']]],
@@ -322,7 +326,7 @@
['clsobel7x7',['CLSobel7x7',['../classarm__compute_1_1_c_l_sobel7x7.xhtml',1,'arm_compute']]],
['clsobel7x7horkernel',['CLSobel7x7HorKernel',['../classarm__compute_1_1_c_l_sobel7x7_hor_kernel.xhtml',1,'arm_compute']]],
['clsobel7x7vertkernel',['CLSobel7x7VertKernel',['../classarm__compute_1_1_c_l_sobel7x7_vert_kernel.xhtml',1,'arm_compute']]],
- ['clsoftmaxlayer',['CLSoftmaxLayer',['../classarm__compute_1_1_c_l_softmax_layer.xhtml',1,'arm_compute']]],
+ ['clsoftmaxlayergeneric',['CLSoftmaxLayerGeneric',['../classarm__compute_1_1_c_l_softmax_layer_generic.xhtml',1,'arm_compute']]],
['clspacetobatchlayer',['CLSpaceToBatchLayer',['../classarm__compute_1_1_c_l_space_to_batch_layer.xhtml',1,'arm_compute']]],
['clspacetobatchlayerkernel',['CLSpaceToBatchLayerKernel',['../classarm__compute_1_1_c_l_space_to_batch_layer_kernel.xhtml',1,'arm_compute']]],
['clspacetodepthlayer',['CLSpaceToDepthLayer',['../classarm__compute_1_1_c_l_space_to_depth_layer.xhtml',1,'arm_compute']]],
@@ -336,6 +340,10 @@
['clsubtensorhandle',['CLSubTensorHandle',['../classarm__compute_1_1graph_1_1backends_1_1_c_l_sub_tensor_handle.xhtml',1,'arm_compute::graph::backends']]],
['clsymbols',['CLSymbols',['../classarm__compute_1_1_c_l_symbols.xhtml',1,'arm_compute']]],
['clsynthetizefunction',['CLSynthetizeFunction',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
+ ['clsynthetizefunction_3c_20clgemmmatrixmultiplynativekernel_20_3e',['CLSynthetizeFunction< CLGEMMMatrixMultiplyNativeKernel >',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
+ ['clsynthetizefunction_3c_20clgemmmatrixmultiplyreshapedkernel_20_3e',['CLSynthetizeFunction< CLGEMMMatrixMultiplyReshapedKernel >',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
+ ['clsynthetizefunction_3c_20clgemmmatrixmultiplyreshapedonlyrhskernel_20_3e',['CLSynthetizeFunction< CLGEMMMatrixMultiplyReshapedOnlyRHSKernel >',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
+ ['clsynthetizefunction_3c_20clgemmreshapelhsmatrixkernel_20_3e',['CLSynthetizeFunction< CLGEMMReshapeLHSMatrixKernel >',['../classarm__compute_1_1test_1_1_c_l_synthetize_function.xhtml',1,'arm_compute::test']]],
['clsynthetizefunctioninitoutputwithzeroandwithzeroconstantborder',['CLSynthetizeFunctionInitOutputWithZeroAndWithZeroConstantBorder',['../classarm__compute_1_1test_1_1_c_l_synthetize_function_init_output_with_zero_and_with_zero_constant_border.xhtml',1,'arm_compute::test']]],
['clsynthetizefunctionwithzeroconstantborder',['CLSynthetizeFunctionWithZeroConstantBorder',['../classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml',1,'arm_compute::test']]],
['cltablelookup',['CLTableLookup',['../classarm__compute_1_1_c_l_table_lookup.xhtml',1,'arm_compute']]],
@@ -371,9 +379,13 @@
['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']]],
['common_5fpromoted_5funsigned_5ftype',['common_promoted_unsigned_type',['../structarm__compute_1_1test_1_1common__promoted__unsigned__type.xhtml',1,'arm_compute::test']]],
+ ['commongemmexampleoptions',['CommonGemmExampleOptions',['../classgemm__tuner_1_1_common_gemm_example_options.xhtml',1,'gemm_tuner']]],
+ ['commongemmexampleparams',['CommonGemmExampleParams',['../structgemm__tuner_1_1_common_gemm_example_params.xhtml',1,'gemm_tuner']]],
['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']]],
+ ['commongraphvalidateoptions',['CommonGraphValidateOptions',['../classarm__compute_1_1utils_1_1_common_graph_validate_options.xhtml',1,'arm_compute::utils']]],
['commonoptions',['CommonOptions',['../classarm__compute_1_1test_1_1framework_1_1_common_options.xhtml',1,'arm_compute::test::framework']]],
+ ['commonparams',['CommonParams',['../structarm__compute_1_1utils_1_1_common_params.xhtml',1,'arm_compute::utils']]],
['compare',['compare',['../structarm__compute_1_1test_1_1validation_1_1compare.xhtml',1,'arm_compute::test::validation']]],
['compare_3c_20absolutetolerance_3c_20u_20_3e_20_3e',['compare< AbsoluteTolerance< U > >',['../structarm__compute_1_1test_1_1validation_1_1compare_3_01_absolute_tolerance_3_01_u_01_4_01_4.xhtml',1,'arm_compute::test::validation']]],
['compare_3c_20relativetolerance_3c_20u_20_3e_20_3e',['compare< RelativeTolerance< U > >',['../structarm__compute_1_1test_1_1validation_1_1compare_3_01_relative_tolerance_3_01_u_01_4_01_4.xhtml',1,'arm_compute::test::validation']]],
@@ -385,10 +397,15 @@
['concatenatelayernode',['ConcatenateLayerNode',['../classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml',1,'arm_compute::graph']]],
['concatlayer',['ConcatLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_concat_layer.xhtml',1,'arm_compute::graph::frontend']]],
['concatlayerdescriptor',['ConcatLayerDescriptor',['../structarm__compute_1_1graph_1_1descriptors_1_1_concat_layer_descriptor.xhtml',1,'arm_compute::graph::descriptors']]],
+ ['constantlayer',['ConstantLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_constant_layer.xhtml',1,'arm_compute::graph::frontend']]],
['constnode',['ConstNode',['../classarm__compute_1_1graph_1_1_const_node.xhtml',1,'arm_compute::graph']]],
['containerdataset',['ContainerDataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml',1,'arm_compute::test::framework::dataset']]],
+ ['contextscheduleruser',['ContextSchedulerUser',['../classarm__compute_1_1test_1_1_context_scheduler_user.xhtml',1,'arm_compute::test']]],
+ ['contexttype',['ContextType',['../structarm__compute_1_1test_1_1_context_type.xhtml',1,'arm_compute::test']]],
+ ['contexttype_3c_20tensor_20_3e',['ContextType< Tensor >',['../structarm__compute_1_1test_1_1_context_type_3_01_tensor_01_4.xhtml',1,'arm_compute::test']]],
['convolutionlayer',['ConvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml',1,'arm_compute::graph::frontend']]],
['convolutionlayernode',['ConvolutionLayerNode',['../classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml',1,'arm_compute::graph']]],
+ ['convolutionparams',['ConvolutionParams',['../structarm__compute_1_1utils_1_1_convolution_params.xhtml',1,'arm_compute::utils']]],
['coordinates',['Coordinates',['../classarm__compute_1_1_coordinates.xhtml',1,'arm_compute']]],
['coordinates2d',['Coordinates2D',['../struct_coordinates2_d.xhtml',1,'Coordinates2D'],['../structarm__compute_1_1_coordinates2_d.xhtml',1,'Coordinates2D']]],
['coordinates3d',['Coordinates3D',['../structarm__compute_1_1_coordinates3_d.xhtml',1,'arm_compute']]],
diff --git a/documentation/search/classes_4.js b/documentation/search/classes_4.js
index faa1c2a..1b9d8ae 100644
--- a/documentation/search/classes_4.js
+++ b/documentation/search/classes_4.js
@@ -27,6 +27,8 @@
['depthwiseconvolutionlayer',['DepthwiseConvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml',1,'arm_compute::graph::frontend']]],
['depthwiseconvolutionlayernode',['DepthwiseConvolutionLayerNode',['../classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml',1,'arm_compute::graph']]],
['depthwiseconvolutionreshapeinfo',['DepthwiseConvolutionReshapeInfo',['../structarm__compute_1_1_depthwise_convolution_reshape_info.xhtml',1,'arm_compute']]],
+ ['dequantizationlayer',['DequantizationLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_dequantization_layer.xhtml',1,'arm_compute::graph::frontend']]],
+ ['dequantizationlayernode',['DequantizationLayerNode',['../classarm__compute_1_1graph_1_1_dequantization_layer_node.xhtml',1,'arm_compute::graph']]],
['detectionoutputaccessor',['DetectionOutputAccessor',['../classarm__compute_1_1graph__utils_1_1_detection_output_accessor.xhtml',1,'arm_compute::graph_utils']]],
['detectionoutputlayer',['DetectionOutputLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_detection_output_layer.xhtml',1,'arm_compute::graph::frontend']]],
['detectionoutputlayerinfo',['DetectionOutputLayerInfo',['../classarm__compute_1_1_detection_output_layer_info.xhtml',1,'arm_compute']]],
@@ -35,16 +37,18 @@
['detectionpostprocesslayerinfo',['DetectionPostProcessLayerInfo',['../classarm__compute_1_1_detection_post_process_layer_info.xhtml',1,'arm_compute']]],
['detectionpostprocesslayernode',['DetectionPostProcessLayerNode',['../classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml',1,'arm_compute::graph']]],
['detectionwindow',['DetectionWindow',['../struct_detection_window.xhtml',1,'DetectionWindow'],['../structarm__compute_1_1_detection_window.xhtml',1,'DetectionWindow']]],
+ ['deviceproperties',['DeviceProperties',['../structarm__compute_1_1_device_properties.xhtml',1,'arm_compute']]],
['dimension',['Dimension',['../classarm__compute_1_1_window_1_1_dimension.xhtml',1,'arm_compute::Window']]],
['dimensions',['Dimensions',['../classarm__compute_1_1_dimensions.xhtml',1,'arm_compute']]],
['dimensions_3c_20int_20_3e',['Dimensions< int >',['../classarm__compute_1_1_dimensions.xhtml',1,'arm_compute']]],
- ['dimensions_3c_20size_5ft_20_3e',['Dimensions< size_t >',['../classarm__compute_1_1_dimensions.xhtml',1,'arm_compute']]],
- ['dimensions_3c_20unsigned_20int_20_3e',['Dimensions< unsigned int >',['../classarm__compute_1_1_dimensions.xhtml',1,'arm_compute']]],
+ ['dimensions_3c_20uint32_5ft_20_3e',['Dimensions< uint32_t >',['../classarm__compute_1_1_dimensions.xhtml',1,'arm_compute']]],
['distribution1d',['Distribution1D',['../classarm__compute_1_1_distribution1_d.xhtml',1,'arm_compute']]],
['dotgraphprinter',['DotGraphPrinter',['../classarm__compute_1_1graph_1_1_dot_graph_printer.xhtml',1,'arm_compute::graph']]],
['dotgraphvisitor',['DotGraphVisitor',['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml',1,'arm_compute::graph']]],
['dummy',['dummy',['../structarm__compute_1_1detail_1_1dummy.xhtml',1,'arm_compute::detail']]],
['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']]]
+ ['dummynode',['DummyNode',['../classarm__compute_1_1graph_1_1_dummy_node.xhtml',1,'arm_compute::graph']]],
+ ['dwckernelinfo',['DWCKernelInfo',['../structarm__compute_1_1_d_w_c_kernel_info.xhtml',1,'arm_compute']]],
+ ['dwcweightskernelinfo',['DWCWeightsKernelInfo',['../structarm__compute_1_1_d_w_c_weights_kernel_info.xhtml',1,'arm_compute']]]
];
diff --git a/documentation/search/classes_5.js b/documentation/search/classes_5.js
index 974d276..bf9d803 100644
--- a/documentation/search/classes_5.js
+++ b/documentation/search/classes_5.js
@@ -14,6 +14,7 @@
['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']]],
['example',['Example',['../classarm__compute_1_1utils_1_1_example.xhtml',1,'arm_compute::utils']]],
+ ['exampleparams',['ExampleParams',['../structarm__compute_1_1utils_1_1_example_params.xhtml',1,'arm_compute::utils']]],
['executiontask',['ExecutionTask',['../structarm__compute_1_1graph_1_1_execution_task.xhtml',1,'arm_compute::graph']]],
['executionworkload',['ExecutionWorkload',['../structarm__compute_1_1graph_1_1_execution_workload.xhtml',1,'arm_compute::graph']]]
];
diff --git a/documentation/search/classes_6.js b/documentation/search/classes_6.js
index b7d98f9..2b8a65a 100644
--- a/documentation/search/classes_6.js
+++ b/documentation/search/classes_6.js
@@ -13,9 +13,11 @@
['flattenlayer',['FlattenLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_flatten_layer.xhtml',1,'arm_compute::graph::frontend']]],
['flattenlayernode',['FlattenLayerNode',['../classarm__compute_1_1graph_1_1_flatten_layer_node.xhtml',1,'arm_compute::graph']]],
['framework',['Framework',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml',1,'arm_compute::test::framework']]],
+ ['frameworkparams',['FrameworkParams',['../structarm__compute_1_1utils_1_1_framework_params.xhtml',1,'arm_compute::utils']]],
['fullyconnectedlayer',['FullyConnectedLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml',1,'arm_compute::graph::frontend']]],
['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']]],
+ ['fullyconnectedparams',['FullyConnectedParams',['../structarm__compute_1_1utils_1_1_fully_connected_params.xhtml',1,'arm_compute::utils']]],
['fusedconvolutionbatchnormalizationfunction',['FusedConvolutionBatchNormalizationFunction',['../classarm__compute_1_1graph_1_1backends_1_1_fused_convolution_batch_normalization_function.xhtml',1,'arm_compute::graph::backends']]],
['fusedconvolutionbatchnormalizationnode',['FusedConvolutionBatchNormalizationNode',['../classarm__compute_1_1graph_1_1_fused_convolution_batch_normalization_node.xhtml',1,'arm_compute::graph']]],
['fuseddepthwiseconvolutionbatchnormalizationfunction',['FusedDepthwiseConvolutionBatchNormalizationFunction',['../classarm__compute_1_1graph_1_1backends_1_1_fused_depthwise_convolution_batch_normalization_function.xhtml',1,'arm_compute::graph::backends']]],
diff --git a/documentation/search/classes_7.js b/documentation/search/classes_7.js
index e7b47b7..575843f 100644
--- a/documentation/search/classes_7.js
+++ b/documentation/search/classes_7.js
@@ -15,6 +15,7 @@
['gcconcatenatelayer',['GCConcatenateLayer',['../classarm__compute_1_1_g_c_concatenate_layer.xhtml',1,'arm_compute']]],
['gcconvolutionlayer',['GCConvolutionLayer',['../classarm__compute_1_1_g_c_convolution_layer.xhtml',1,'arm_compute']]],
['gcconvolutionlayerreshapeweights',['GCConvolutionLayerReshapeWeights',['../classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml',1,'arm_compute']]],
+ ['gccoreruntimecontext',['GCCoreRuntimeContext',['../classarm__compute_1_1_g_c_core_runtime_context.xhtml',1,'arm_compute']]],
['gcdepthconcatenatelayerkernel',['GCDepthConcatenateLayerKernel',['../classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
['gcdepthwiseconvolutionlayer3x3',['GCDepthwiseConvolutionLayer3x3',['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml',1,'arm_compute']]],
['gcdepthwiseconvolutionlayer3x3kernel',['GCDepthwiseConvolutionLayer3x3Kernel',['../classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml',1,'arm_compute']]],
@@ -53,6 +54,7 @@
['gcpoolinglayer',['GCPoolingLayer',['../classarm__compute_1_1_g_c_pooling_layer.xhtml',1,'arm_compute']]],
['gcpoolinglayerkernel',['GCPoolingLayerKernel',['../classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml',1,'arm_compute']]],
['gcprogram',['GCProgram',['../classarm__compute_1_1_g_c_program.xhtml',1,'arm_compute']]],
+ ['gcruntimecontext',['GCRuntimeContext',['../classarm__compute_1_1_g_c_runtime_context.xhtml',1,'arm_compute']]],
['gcscale',['GCScale',['../classarm__compute_1_1_g_c_scale.xhtml',1,'arm_compute']]],
['gcscalekernel',['GCScaleKernel',['../classarm__compute_1_1_g_c_scale_kernel.xhtml',1,'arm_compute']]],
['gcscheduler',['GCScheduler',['../classarm__compute_1_1_g_c_scheduler.xhtml',1,'arm_compute']]],
@@ -65,6 +67,8 @@
['gctranspose',['GCTranspose',['../classarm__compute_1_1_g_c_transpose.xhtml',1,'arm_compute']]],
['gctransposekernel',['GCTransposeKernel',['../classarm__compute_1_1_g_c_transpose_kernel.xhtml',1,'arm_compute']]],
['gcweightsreshapekernel',['GCWeightsReshapeKernel',['../classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml',1,'arm_compute']]],
+ ['gemmbenchmarkresultrecorder',['GEMMBenchmarkResultRecorder',['../class_gemm_tuner_1_1_g_e_m_m_benchmark_result_recorder.xhtml',1,'GemmTuner']]],
+ ['gemmconfigdistribution',['GEMMConfigDistribution',['../class_gemm_tuner_1_1_g_e_m_m_config_distribution.xhtml',1,'GemmTuner']]],
['gemmhybrid',['GemmHybrid',['../classarm__gemm_1_1_gemm_hybrid.xhtml',1,'arm_gemm']]],
['gemmhybridquantized',['GemmHybridQuantized',['../classarm__gemm_1_1_gemm_hybrid_quantized.xhtml',1,'arm_gemm']]],
['gemmimplementation',['GemmImplementation',['../structarm__gemm_1_1_gemm_implementation.xhtml',1,'arm_gemm']]],
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['gemmlowpoutputstageinfo',['GEMMLowpOutputStageInfo',['../structarm__compute_1_1_g_e_m_m_lowp_output_stage_info.xhtml',1,'arm_compute']]],
['gemmnative',['GemmNative',['../classarm__gemm_1_1_gemm_native.xhtml',1,'arm_gemm']]],
+ ['gemmparam',['GEMMParam',['../class_gemm_tuner_1_1_g_e_m_m_param.xhtml',1,'GemmTuner']]],
['gemmreshapeinfo',['GEMMReshapeInfo',['../classarm__compute_1_1_g_e_m_m_reshape_info.xhtml',1,'arm_compute']]],
['gemmrhsmatrixinfo',['GEMMRHSMatrixInfo',['../structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml',1,'arm_compute']]],
['gemvbatched',['GemvBatched',['../classarm__gemm_1_1_gemv_batched.xhtml',1,'arm_gemm']]],
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['graphcontext',['GraphContext',['../classarm__compute_1_1graph_1_1_graph_context.xhtml',1,'arm_compute::graph']]],
['graphmanager',['GraphManager',['../classarm__compute_1_1graph_1_1_graph_manager.xhtml',1,'arm_compute::graph']]],
+ ['graphvalidateexample',['GraphValidateExample',['../classarm__compute_1_1utils_1_1_graph_validate_example.xhtml',1,'arm_compute::utils']]],
+ ['graphvalidateexample_3c_20convolutionlayer_2c_20convolutionoptions_2c_20convolutionverifyaccessor_20_3e',['GraphValidateExample< ConvolutionLayer, ConvolutionOptions, ConvolutionVerifyAccessor >',['../classarm__compute_1_1utils_1_1_graph_validate_example.xhtml',1,'arm_compute::utils']]],
+ ['graphvalidateexample_3c_20depthwiseconvolutionlayer_2c_20depthconvolutionoptions_2c_20depthconvolutionverifyaccessor_20_3e',['GraphValidateExample< DepthwiseConvolutionLayer, DepthConvolutionOptions, DepthConvolutionVerifyAccessor >',['../classarm__compute_1_1utils_1_1_graph_validate_example.xhtml',1,'arm_compute::utils']]],
+ ['graphvalidateexample_3c_20fullyconnectedlayer_2c_20fullyconnectedoptions_2c_20fullyconnectedverifyaccessor_20_3e',['GraphValidateExample< FullyConnectedLayer, FullyConnectedOptions, FullyConnectedVerifyAccessor >',['../classarm__compute_1_1utils_1_1_graph_validate_example.xhtml',1,'arm_compute::utils']]],
['groupedconvolutionmutator',['GroupedConvolutionMutator',['../classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml',1,'arm_compute::graph']]]
];
diff --git a/documentation/search/classes_9.js b/documentation/search/classes_9.js
index 715083e..aae5cd7 100644
--- a/documentation/search/classes_9.js
+++ b/documentation/search/classes_9.js
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['iarray_3c_20nelkinternalkeypoint_20_3e',['IArray< NELKInternalKeypoint >',['../classarm__compute_1_1_i_array.xhtml',1,'arm_compute']]],
['iarrayaccessor',['IArrayAccessor',['../classarm__compute_1_1test_1_1_i_array_accessor.xhtml',1,'arm_compute::test']]],
- ['ibuffermanager',['IBufferManager',['../classarm__compute_1_1_i_buffer_manager.xhtml',1,'arm_compute']]],
+ ['iassetmanager',['IAssetManager',['../classarm__compute_1_1_i_asset_manager.xhtml',1,'arm_compute']]],
['iclarray',['ICLArray',['../classarm__compute_1_1_i_c_l_array.xhtml',1,'arm_compute']]],
['iclarray_3c_20cl_5ffloat_20_3e',['ICLArray< cl_float >',['../classarm__compute_1_1_i_c_l_array.xhtml',1,'arm_compute']]],
['iclarray_3c_20cl_5fint_20_3e',['ICLArray< cl_int >',['../classarm__compute_1_1_i_c_l_array.xhtml',1,'arm_compute']]],
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['imemory',['IMemory',['../classarm__compute_1_1_i_memory.xhtml',1,'arm_compute']]],
['imemorygroup',['IMemoryGroup',['../classarm__compute_1_1_i_memory_group.xhtml',1,'arm_compute']]],
+ ['imemorymanageable',['IMemoryManageable',['../classarm__compute_1_1_i_memory_manageable.xhtml',1,'arm_compute']]],
['imemorymanager',['IMemoryManager',['../classarm__compute_1_1_i_memory_manager.xhtml',1,'arm_compute']]],
['imemorypool',['IMemoryPool',['../classarm__compute_1_1_i_memory_pool.xhtml',1,'arm_compute']]],
['imemoryregion',['IMemoryRegion',['../classarm__compute_1_1_i_memory_region.xhtml',1,'arm_compute']]],
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['inputnode',['InputNode',['../classarm__compute_1_1graph_1_1_input_node.xhtml',1,'arm_compute::graph']]],
['instrument',['Instrument',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml',1,'arm_compute::test::framework']]],
+ ['instrumentsinfo',['InstrumentsInfo',['../structarm__compute_1_1test_1_1framework_1_1_instruments_info.xhtml',1,'arm_compute::test::framework']]],
['instrumentsstats',['InstrumentsStats',['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml',1,'arm_compute::test::framework']]],
- ['internalkeypoint',['InternalKeypoint',['../struct_internal_keypoint.xhtml',1,'InternalKeypoint'],['../structarm__compute_1_1_internal_key_point.xhtml',1,'InternalKeyPoint']]],
+ ['internalkeypoint',['InternalKeyPoint',['../structarm__compute_1_1_internal_key_point.xhtml',1,'InternalKeyPoint'],['../struct_internal_keypoint.xhtml',1,'InternalKeypoint']]],
['ioformatinfo',['IOFormatInfo',['../structarm__compute_1_1_i_o_format_info.xhtml',1,'arm_compute']]],
['ipoolmanager',['IPoolManager',['../classarm__compute_1_1_i_pool_manager.xhtml',1,'arm_compute']]],
['ipreprocessor',['IPreprocessor',['../classarm__compute_1_1graph__utils_1_1_i_preprocessor.xhtml',1,'arm_compute::graph_utils']]],
['ipyramid',['IPyramid',['../classarm__compute_1_1_i_pyramid.xhtml',1,'arm_compute']]],
+ ['iruntimecontext',['IRuntimeContext',['../classarm__compute_1_1_i_runtime_context.xhtml',1,'arm_compute']]],
['is_5fcontained',['is_contained',['../structarm__compute_1_1traits_1_1is__contained.xhtml',1,'arm_compute::traits']]],
['is_5fcontained_3c_20t_2c_20std_3a_3atuple_3c_20t_2c_20ts_2e_2e_2e_20_3e_20_3e',['is_contained< T, std::tuple< T, Ts... > >',['../structarm__compute_1_1traits_1_1is__contained_3_01_t_00_01std_1_1tuple_3_01_t_00_01_ts_8_8_8_01_4_01_4.xhtml',1,'arm_compute::traits']]],
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+ ['is_5ffloating_5fpoint',['is_floating_point',['../structarm__compute_1_1utils_1_1traits_1_1is__floating__point.xhtml',1,'is_floating_point< T >'],['../structarm__compute_1_1test_1_1validation_1_1is__floating__point.xhtml',1,'is_floating_point< T >']]],
+ ['is_5ffloating_5fpoint_3c_20half_20_3e',['is_floating_point< half >',['../structarm__compute_1_1utils_1_1traits_1_1is__floating__point_3_01half_01_4.xhtml',1,'is_floating_point< half >'],['../structarm__compute_1_1test_1_1validation_1_1is__floating__point_3_01half_01_4.xhtml',1,'is_floating_point< half >']]],
['ischeduler',['IScheduler',['../classarm__compute_1_1_i_scheduler.xhtml',1,'arm_compute']]],
+ ['ischeduleruser',['ISchedulerUser',['../classarm__compute_1_1test_1_1framework_1_1_i_scheduler_user.xhtml',1,'arm_compute::test::framework']]],
['isimplelifetimemanager',['ISimpleLifetimeManager',['../classarm__compute_1_1_i_simple_lifetime_manager.xhtml',1,'arm_compute']]],
['istream',['IStream',['../classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml',1,'arm_compute::graph::frontend']]],
['itensor',['ITensor',['../classarm__compute_1_1_i_tensor.xhtml',1,'arm_compute']]],
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['itensorhandle',['ITensorHandle',['../classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml',1,'arm_compute::graph']]],
['itensorinfo',['ITensorInfo',['../classarm__compute_1_1_i_tensor_info.xhtml',1,'arm_compute']]],
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+ ['iterator',['iterator',['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_cartesian_product_dataset_1_1iterator.xhtml',1,'CartesianProductDataset< T, U >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml',1,'InitializerListDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_join_dataset_1_1iterator.xhtml',1,'JoinDataset< T, U >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_singleton_dataset_1_1iterator.xhtml',1,'SingletonDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_1_1iterator.xhtml',1,'ZipDataset< T, U >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_range_dataset_1_1iterator.xhtml',1,'RangeDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_1_1iterator.xhtml',1,'ContainerDataset< T >::iterator'],['../classarm__compute_1_1_iterator.xhtml',1,'Iterator']]],
+ ['itransformweights',['ITransformWeights',['../classarm__compute_1_1_i_transform_weights.xhtml',1,'arm_compute']]],
+ ['iweightsmanager',['IWeightsManager',['../classarm__compute_1_1_i_weights_manager.xhtml',1,'arm_compute']]]
];
diff --git a/documentation/search/classes_d.js b/documentation/search/classes_d.js
index 2782e06..793854e 100644
--- a/documentation/search/classes_d.js
+++ b/documentation/search/classes_d.js
@@ -1,13 +1,10 @@
var searchData=
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- ['measurement',['Measurement',['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml',1,'arm_compute::test::framework']]],
+ ['measurement',['Measurement',['../class_gemm_tuner_1_1_measurement.xhtml',1,'Measurement'],['../structarm__compute_1_1test_1_1framework_1_1_measurement.xhtml',1,'Measurement']]],
['meminfo',['MEMInfo',['../classarm__compute_1_1_m_e_m_info.xhtml',1,'arm_compute']]],
['memory',['Memory',['../classarm__compute_1_1_memory.xhtml',1,'arm_compute']]],
- ['memorygroupbase',['MemoryGroupBase',['../classarm__compute_1_1_memory_group_base.xhtml',1,'arm_compute']]],
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- ['memorygroupbase_3c_20tensor_20_3e',['MemoryGroupBase< Tensor >',['../classarm__compute_1_1_memory_group_base.xhtml',1,'arm_compute']]],
+ ['memorygroup',['MemoryGroup',['../classarm__compute_1_1_memory_group.xhtml',1,'arm_compute']]],
['memorygroupresourcescope',['MemoryGroupResourceScope',['../classarm__compute_1_1_memory_group_resource_scope.xhtml',1,'arm_compute']]],
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diff --git a/documentation/search/classes_e.js b/documentation/search/classes_e.js
index 7ed44e2..d727f32 100644
--- a/documentation/search/classes_e.js
+++ b/documentation/search/classes_e.js
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+ ['nativegemmconfig',['NativeGEMMConfig',['../class_gemm_tuner_1_1_native_g_e_m_m_config.xhtml',1,'GemmTuner']]],
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['nebitwisexorkernel',['NEBitwiseXorKernel',['../classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml',1,'arm_compute']]],
+ ['neboundingboxtransform',['NEBoundingBoxTransform',['../classarm__compute_1_1_n_e_bounding_box_transform.xhtml',1,'arm_compute']]],
+ ['neboundingboxtransformkernel',['NEBoundingBoxTransformKernel',['../classarm__compute_1_1_n_e_bounding_box_transform_kernel.xhtml',1,'arm_compute']]],
['nebox3x3',['NEBox3x3',['../classarm__compute_1_1_n_e_box3x3.xhtml',1,'arm_compute']]],
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['necomplexpixelwisemultiplicationkernel',['NEComplexPixelWiseMultiplicationKernel',['../classarm__compute_1_1_n_e_complex_pixel_wise_multiplication_kernel.xhtml',1,'arm_compute']]],
+ ['necomputeallanchors',['NEComputeAllAnchors',['../classarm__compute_1_1_n_e_compute_all_anchors.xhtml',1,'arm_compute']]],
+ ['necomputeallanchorskernel',['NEComputeAllAnchorsKernel',['../classarm__compute_1_1_n_e_compute_all_anchors_kernel.xhtml',1,'arm_compute']]],
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['neconvertfullyconnectedweightskernel',['NEConvertFullyConnectedWeightsKernel',['../classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml',1,'arm_compute']]],
+ ['neconvertfullyconnectedweightsmanaged',['NEConvertFullyConnectedWeightsManaged',['../classarm__compute_1_1weights__transformations_1_1_n_e_convert_fully_connected_weights_managed.xhtml',1,'arm_compute::weights_transformations']]],
+ ['neconvertquantizedsignednesskernel',['NEConvertQuantizedSignednessKernel',['../classarm__compute_1_1_n_e_convert_quantized_signedness_kernel.xhtml',1,'arm_compute']]],
['neconvolution3x3',['NEConvolution3x3',['../classarm__compute_1_1_n_e_convolution3x3.xhtml',1,'arm_compute']]],
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['neconvolutionlayerreshapeweights',['NEConvolutionLayerReshapeWeights',['../classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml',1,'arm_compute']]],
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['nefullyconnectedlayerreshapeweights',['NEFullyConnectedLayerReshapeWeights',['../classarm__compute_1_1_n_e_fully_connected_layer_reshape_weights.xhtml',1,'arm_compute']]],
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['neim2colkernel',['NEIm2ColKernel',['../classarm__compute_1_1_n_e_im2_col_kernel.xhtml',1,'arm_compute']]],
+ ['neinstancenormalizationlayer',['NEInstanceNormalizationLayer',['../classarm__compute_1_1_n_e_instance_normalization_layer.xhtml',1,'arm_compute']]],
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['nepadlayer',['NEPadLayer',['../classarm__compute_1_1_n_e_pad_layer.xhtml',1,'arm_compute']]],
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['nepermute',['NEPermute',['../classarm__compute_1_1_n_e_permute.xhtml',1,'arm_compute']]],
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['nernnlayer',['NERNNLayer',['../classarm__compute_1_1_n_e_r_n_n_layer.xhtml',1,'arm_compute']]],
+ ['neroialignlayer',['NEROIAlignLayer',['../classarm__compute_1_1_n_e_r_o_i_align_layer.xhtml',1,'arm_compute']]],
+ ['neroialignlayerkernel',['NEROIAlignLayerKernel',['../classarm__compute_1_1_n_e_r_o_i_align_layer_kernel.xhtml',1,'arm_compute']]],
['neroipoolinglayer',['NEROIPoolingLayer',['../classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml',1,'arm_compute']]],
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- ['nesoftmaxlayer',['NESoftmaxLayer',['../classarm__compute_1_1_n_e_softmax_layer.xhtml',1,'arm_compute']]],
+ ['nesoftmaxlayergeneric',['NESoftmaxLayerGeneric',['../classarm__compute_1_1_n_e_softmax_layer_generic.xhtml',1,'arm_compute']]],
['nespacetobatchlayer',['NESpaceToBatchLayer',['../classarm__compute_1_1_n_e_space_to_batch_layer.xhtml',1,'arm_compute']]],
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diff --git a/documentation/search/defines_0.js b/documentation/search/defines_0.js
index 4138d58..6614e24 100644
--- a/documentation/search/defines_0.js
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diff --git a/documentation/search/defines_1.js b/documentation/search/defines_1.js
index 47eb4cf..0166b36 100644
--- a/documentation/search/defines_1.js
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index aa69c24..7dd5a4b 100644
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+ ['convert_5fshort1_5fsat',['convert_short1_sat',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a17d72a1026859c95cef6a7398a96f283',1,'helpers.h']]],
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['convert_5fstore_5fblock_5fstr',['CONVERT_STORE_BLOCK_STR',['../gemm__helpers_8h.xhtml#a6a85546d002f9cdc7f442275c5307ba0',1,'gemm_helpers.h']]],
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['convert_5fto_5fvector_5fstruct',['CONVERT_TO_VECTOR_STRUCT',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0',1,'helpers.h']]],
['convert_5fto_5fvector_5fstruct_5fno_5fstep',['CONVERT_TO_VECTOR_STRUCT_NO_STEP',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b',1,'helpers.h']]],
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+ ['convert_5fuchar1_5fsat',['convert_uchar1_sat',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a9ee4f02e8f3bb308231f0b03f159a0e1',1,'helpers.h']]],
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['convert_5fup',['CONVERT_UP',['../depth__convert_8cl.xhtml#a9bed30cda5ab157322d2f0bbdff46d28',1,'depth_convert.cl']]],
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['convolution1x3_5fbifrost2x1_5fstride2',['CONVOLUTION1x3_BIFROST2X1_STRIDE2',['../depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44',1,'depthwise_convolution.cl']]],
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index 5c013ba..0286c13 100644
--- a/documentation/search/defines_4.js
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['define_5fkernel_5fstr',['DEFINE_KERNEL_STR',['../comparisons_8cl.xhtml#a09a9348f4f03ddf2d08ae98bb8d0418b',1,'comparisons.cl']]],
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index c80d44a..dd1a06c 100644
--- a/documentation/search/defines_5.js
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index c6a9365..820a20f 100644
--- a/documentation/search/defines_9.js
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index 57aa9cf..8d6a6b9 100644
--- a/documentation/search/defines_a.js
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diff --git a/documentation/search/defines_c.js b/documentation/search/defines_c.js
index 3a25786..47787d2 100644
--- a/documentation/search/defines_c.js
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@@ -1,5 +1,6 @@
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index ffc9dd4..bb8504e 100644
--- a/documentation/search/defines_e.js
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diff --git a/documentation/search/defines_f.js b/documentation/search/defines_f.js
index 337f2de..e86a29c 100644
--- a/documentation/search/defines_f.js
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index 6d75ee0..f211a51 100644
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index 3e113cb..a491bb8 100644
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index d81776e..2a5fb0d 100644
--- a/documentation/search/files_1.js
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index 645125d..a7fad31 100644
--- a/documentation/search/files_10.js
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index d563362..599ddd3 100644
--- a/documentation/search/files_12.js
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- ['rsqrtlayer_2ecpp',['RsqrtLayer.cpp',['../_rsqrt_layer_8cpp.xhtml',1,'']]]
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+ ['runexample_2ecpp',['RunExample.cpp',['../benchmark__examples_2_run_example_8cpp.xhtml',1,'(Global Namespace)'],['../validate__examples_2_run_example_8cpp.xhtml',1,'(Global Namespace)']]],
+ ['runtimecontext_2ecpp',['RuntimeContext.cpp',['../src_2runtime_2_runtime_context_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_n_e_o_n_2_u_n_i_t_2_runtime_context_8cpp.xhtml',1,'(Global Namespace)']]],
+ ['runtimecontext_2eh',['RuntimeContext.h',['../_runtime_context_8h.xhtml',1,'']]]
];
diff --git a/documentation/search/files_13.js b/documentation/search/files_13.js
index 235b912..acc473a 100644
--- a/documentation/search/files_13.js
+++ b/documentation/search/files_13.js
@@ -1,5 +1,7 @@
var searchData=
[
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+ ['safeops_2eh',['SafeOps.h',['../_safe_ops_8h.xhtml',1,'']]],
['saturatecast_2eh',['SaturateCast.h',['../_saturate_cast_8h.xhtml',1,'']]],
['scalar_2eh',['scalar.h',['../scalar_8h.xhtml',1,'']]],
['scale_2ecl',['scale.cl',['../scale_8cl.xhtml',1,'']]],
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['scharr_5ffilter_2ecl',['scharr_filter.cl',['../scharr__filter_8cl.xhtml',1,'']]],
['scheduler_2ecpp',['Scheduler.cpp',['../_scheduler_8cpp.xhtml',1,'']]],
['scheduler_2eh',['Scheduler.h',['../_scheduler_8h.xhtml',1,'']]],
+ ['schedulerfactory_2ecpp',['SchedulerFactory.cpp',['../_scheduler_factory_8cpp.xhtml',1,'']]],
+ ['schedulerfactory_2eh',['SchedulerFactory.h',['../_scheduler_factory_8h.xhtml',1,'']]],
['schedulertimer_2ecpp',['SchedulerTimer.cpp',['../_scheduler_timer_8cpp.xhtml',1,'']]],
['schedulertimer_2eh',['SchedulerTimer.h',['../_scheduler_timer_8h.xhtml',1,'']]],
['select_2ecl',['select.cl',['../select_8cl.xhtml',1,'']]],
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['sve_5finterleaved_5fs8s32_5fdot_5f3vlx8_2ehpp',['sve_interleaved_s8s32_dot_3VLx8.hpp',['../sve__interleaved__s8s32__dot__3_v_lx8_8hpp.xhtml',1,'']]],
['sve_5finterleaved_5fu8u32_5fdot_5f3vlx8_2ehpp',['sve_interleaved_u8u32_dot_3VLx8.hpp',['../sve__interleaved__u8u32__dot__3_v_lx8_8hpp.xhtml',1,'']]],
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+ ['sve_5fmerge_5ffp16_5f3vlx8_2ehpp',['sve_merge_fp16_3VLx8.hpp',['../sve__merge__fp16__3_v_lx8_8hpp.xhtml',1,'']]],
['sve_5fmerge_5ffp32_5f3vlx8_2ehpp',['sve_merge_fp32_3VLx8.hpp',['../sve__merge__fp32__3_v_lx8_8hpp.xhtml',1,'']]],
['sve_5fmerge_5fs32_5f3vlx8_2ehpp',['sve_merge_s32_3VLx8.hpp',['../sve__merge__s32__3_v_lx8_8hpp.xhtml',1,'']]],
['sve_5fmerge_5fu32_5f3vlx8_2ehpp',['sve_merge_u32_3VLx8.hpp',['../sve__merge__u32__3_v_lx8_8hpp.xhtml',1,'']]],
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['sve_5fnative_5fs8s32_5fdot_5f4vlx4_2ehpp',['sve_native_s8s32_dot_4VLx4.hpp',['../sve__native__s8s32__dot__4_v_lx4_8hpp.xhtml',1,'']]],
['sve_5fnative_5fu8u32_5fdot_5f4vlx4_2ehpp',['sve_native_u8u32_dot_4VLx4.hpp',['../sve__native__u8u32__dot__4_v_lx4_8hpp.xhtml',1,'']]],
- ['sve_5fsmallk_5ffp32_5fmla_5f1vlx4_2ehpp',['sve_smallK_fp32_mla_1VLx4.hpp',['../sve__small_k__fp32__mla__1_v_lx4_8hpp.xhtml',1,'']]],
- ['sve_5fsmallk_5fhybrid_5ffp32_5fmla_5f1vlx4_2ehpp',['sve_smallK_hybrid_fp32_mla_1VLx4.hpp',['../sve__small_k__hybrid__fp32__mla__1_v_lx4_8hpp.xhtml',1,'']]],
['sve_5fsmallk_5fhybrid_5fs8s32_5fdot_5f1vlx8_2ehpp',['sve_smallK_hybrid_s8s32_dot_1VLx8.hpp',['../sve__small_k__hybrid__s8s32__dot__1_v_lx8_8hpp.xhtml',1,'']]],
['sve_5fsmallk_5fhybrid_5fu8u32_5fdot_5f1vlx8_2ehpp',['sve_smallK_hybrid_u8u32_dot_1VLx8.hpp',['../sve__small_k__hybrid__u8u32__dot__1_v_lx8_8hpp.xhtml',1,'']]]
];
diff --git a/documentation/search/files_16.js b/documentation/search/files_16.js
index 448912b..e221a72 100644
--- a/documentation/search/files_16.js
+++ b/documentation/search/files_16.js
@@ -2,6 +2,7 @@
[
['validate_2ecpp',['Validate.cpp',['../_validate_8cpp.xhtml',1,'']]],
['validate_2eh',['Validate.h',['../_c_p_p_2_validate_8h.xhtml',1,'(Global Namespace)'],['../_validate_8h.xhtml',1,'(Global Namespace)']]],
+ ['validateexample_2eh',['ValidateExample.h',['../_validate_example_8h.xhtml',1,'']]],
['validatehelpers_2eh',['ValidateHelpers.h',['../_validate_helpers_8h.xhtml',1,'']]],
['validation_2ecpp',['Validation.cpp',['../_validation_8cpp.xhtml',1,'']]],
['validation_2eh',['Validation.h',['../_validation_8h.xhtml',1,'']]]
diff --git a/documentation/search/files_2.js b/documentation/search/files_2.js
index ebec3c4..18451b2 100644
--- a/documentation/search/files_2.js
+++ b/documentation/search/files_2.js
@@ -13,6 +13,7 @@
['batchnormalizationlayernode_2eh',['BatchNormalizationLayerNode.h',['../_batch_normalization_layer_node_8h.xhtml',1,'']]],
['batchtospacelayer_2ecpp',['BatchToSpaceLayer.cpp',['../_c_l_2_batch_to_space_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_batch_to_space_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_batch_to_space_layer_8cpp.xhtml',1,'(Global Namespace)']]],
['batchtospacelayer_2eh',['BatchToSpaceLayer.h',['../_batch_to_space_layer_8h.xhtml',1,'']]],
+ ['bias_5fadder_2ehpp',['bias_adder.hpp',['../bias__adder_8hpp.xhtml',1,'']]],
['bifrosttuner_2ecpp',['BifrostTuner.cpp',['../_bifrost_tuner_8cpp.xhtml',1,'']]],
['bifrosttuner_2eh',['BifrostTuner.h',['../_bifrost_tuner_8h.xhtml',1,'']]],
['bit_5fops_2eh',['bit_ops.h',['../bit__ops_8h.xhtml',1,'']]],
@@ -30,7 +31,8 @@
['blobmemorypool_2ecpp',['BlobMemoryPool.cpp',['../_blob_memory_pool_8cpp.xhtml',1,'']]],
['blobmemorypool_2eh',['BlobMemoryPool.h',['../_blob_memory_pool_8h.xhtml',1,'']]],
['bounding_5fbox_5ftransform_2ecl',['bounding_box_transform.cl',['../bounding__box__transform_8cl.xhtml',1,'']]],
- ['boundingboxtransform_2ecpp',['BoundingBoxTransform.cpp',['../_c_l_2_bounding_box_transform_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_bounding_box_transform_8cpp.xhtml',1,'(Global Namespace)']]],
+ ['bounding_5fbox_5ftransform_5fquantized_2ecl',['bounding_box_transform_quantized.cl',['../bounding__box__transform__quantized_8cl.xhtml',1,'']]],
+ ['boundingboxtransform_2ecpp',['BoundingBoxTransform.cpp',['../_c_l_2_bounding_box_transform_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_bounding_box_transform_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_bounding_box_transform_8cpp.xhtml',1,'(Global Namespace)']]],
['boundingboxtransform_2eh',['BoundingBoxTransform.h',['../_bounding_box_transform_8h.xhtml',1,'']]],
['boundingboxtransformlayernode_2ecpp',['BoundingBoxTransformLayerNode.cpp',['../_bounding_box_transform_layer_node_8cpp.xhtml',1,'']]],
['boundingboxtransformlayernode_2eh',['BoundingBoxTransformLayerNode.h',['../_bounding_box_transform_layer_node_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_3.js b/documentation/search/files_3.js
index 2bd5102..c683055 100644
--- a/documentation/search/files_3.js
+++ b/documentation/search/files_3.js
@@ -24,6 +24,10 @@
['cl_5fcache_2ecpp',['cl_cache.cpp',['../cl__cache_8cpp.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_5fgemm_2ecpp',['cl_gemm.cpp',['../cl__gemm_8cpp.xhtml',1,'']]],
+ ['cl_5fgemm_5fnative_2ecpp',['cl_gemm_native.cpp',['../cl__gemm__native_8cpp.xhtml',1,'']]],
+ ['cl_5fgemm_5freshaped_2ecpp',['cl_gemm_reshaped.cpp',['../cl__gemm__reshaped_8cpp.xhtml',1,'']]],
+ ['cl_5fgemm_5freshaped_5frhs_5fonly_2ecpp',['cl_gemm_reshaped_rhs_only.cpp',['../cl__gemm__reshaped__rhs__only_8cpp.xhtml',1,'']]],
['cl_5fsgemm_2ecpp',['cl_sgemm.cpp',['../cl__sgemm_8cpp.xhtml',1,'']]],
['clabsolutedifference_2ecpp',['CLAbsoluteDifference.cpp',['../_c_l_absolute_difference_8cpp.xhtml',1,'']]],
['clabsolutedifference_2eh',['CLAbsoluteDifference.h',['../_c_l_absolute_difference_8h.xhtml',1,'']]],
@@ -124,6 +128,8 @@
['clcopy_2eh',['CLCopy.h',['../_c_l_copy_8h.xhtml',1,'']]],
['clcopykernel_2ecpp',['CLCopyKernel.cpp',['../_c_l_copy_kernel_8cpp.xhtml',1,'']]],
['clcopykernel_2eh',['CLCopyKernel.h',['../_c_l_copy_kernel_8h.xhtml',1,'']]],
+ ['clcoreruntimecontext_2ecpp',['CLCoreRuntimeContext.cpp',['../_c_l_core_runtime_context_8cpp.xhtml',1,'']]],
+ ['clcoreruntimecontext_2eh',['CLCoreRuntimeContext.h',['../_c_l_core_runtime_context_8h.xhtml',1,'']]],
['clcropkernel_2ecpp',['CLCropKernel.cpp',['../_c_l_crop_kernel_8cpp.xhtml',1,'']]],
['clcropkernel_2eh',['CLCropKernel.h',['../_c_l_crop_kernel_8h.xhtml',1,'']]],
['clcropresize_2ecpp',['CLCropResize.cpp',['../_c_l_crop_resize_8cpp.xhtml',1,'']]],
@@ -152,16 +158,10 @@
['cldepthwiseconvolutionlayer3x3nchwkernel_2eh',['CLDepthwiseConvolutionLayer3x3NCHWKernel.h',['../_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel_8h.xhtml',1,'']]],
['cldepthwiseconvolutionlayer3x3nhwckernel_2ecpp',['CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp',['../_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel_8cpp.xhtml',1,'']]],
['cldepthwiseconvolutionlayer3x3nhwckernel_2eh',['CLDepthwiseConvolutionLayer3x3NHWCKernel.h',['../_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel_8h.xhtml',1,'']]],
- ['cldepthwiseconvolutionlayerreshapeweightsgenerickernel_2ecpp',['CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel.cpp',['../_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel_8cpp.xhtml',1,'']]],
- ['cldepthwiseconvolutionlayerreshapeweightsgenerickernel_2eh',['CLDepthwiseConvolutionLayerReshapeWeightsGenericKernel.h',['../_c_l_depthwise_convolution_layer_reshape_weights_generic_kernel_8h.xhtml',1,'']]],
+ ['cldepthwiseconvolutionlayernativekernel_2ecpp',['CLDepthwiseConvolutionLayerNativeKernel.cpp',['../_c_l_depthwise_convolution_layer_native_kernel_8cpp.xhtml',1,'']]],
+ ['cldepthwiseconvolutionlayernativekernel_2eh',['CLDepthwiseConvolutionLayerNativeKernel.h',['../_c_l_depthwise_convolution_layer_native_kernel_8h.xhtml',1,'']]],
['cldepthwiseconvolutionlayerreshapeweightskernel_2ecpp',['CLDepthwiseConvolutionLayerReshapeWeightsKernel.cpp',['../_c_l_depthwise_convolution_layer_reshape_weights_kernel_8cpp.xhtml',1,'']]],
['cldepthwiseconvolutionlayerreshapeweightskernel_2eh',['CLDepthwiseConvolutionLayerReshapeWeightsKernel.h',['../_c_l_depthwise_convolution_layer_reshape_weights_kernel_8h.xhtml',1,'']]],
- ['cldepthwiseim2colkernel_2ecpp',['CLDepthwiseIm2ColKernel.cpp',['../_c_l_depthwise_im2_col_kernel_8cpp.xhtml',1,'']]],
- ['cldepthwiseim2colkernel_2eh',['CLDepthwiseIm2ColKernel.h',['../_c_l_depthwise_im2_col_kernel_8h.xhtml',1,'']]],
- ['cldepthwiseseparableconvolutionlayer_2ecpp',['CLDepthwiseSeparableConvolutionLayer.cpp',['../_c_l_depthwise_separable_convolution_layer_8cpp.xhtml',1,'']]],
- ['cldepthwiseseparableconvolutionlayer_2eh',['CLDepthwiseSeparableConvolutionLayer.h',['../_c_l_depthwise_separable_convolution_layer_8h.xhtml',1,'']]],
- ['cldepthwisevectortotensorkernel_2ecpp',['CLDepthwiseVectorToTensorKernel.cpp',['../_c_l_depthwise_vector_to_tensor_kernel_8cpp.xhtml',1,'']]],
- ['cldepthwisevectortotensorkernel_2eh',['CLDepthwiseVectorToTensorKernel.h',['../_c_l_depthwise_vector_to_tensor_kernel_8h.xhtml',1,'']]],
['cldequantizationlayer_2ecpp',['CLDequantizationLayer.cpp',['../_c_l_dequantization_layer_8cpp.xhtml',1,'']]],
['cldequantizationlayer_2eh',['CLDequantizationLayer.h',['../_c_l_dequantization_layer_8h.xhtml',1,'']]],
['cldequantizationlayerkernel_2ecpp',['CLDequantizationLayerKernel.cpp',['../_c_l_dequantization_layer_kernel_8cpp.xhtml',1,'']]],
@@ -180,8 +180,6 @@
['cldirectconvolutionlayer_2eh',['CLDirectConvolutionLayer.h',['../_c_l_direct_convolution_layer_8h.xhtml',1,'']]],
['cldirectconvolutionlayerkernel_2ecpp',['CLDirectConvolutionLayerKernel.cpp',['../_c_l_direct_convolution_layer_kernel_8cpp.xhtml',1,'']]],
['cldirectconvolutionlayerkernel_2eh',['CLDirectConvolutionLayerKernel.h',['../_c_l_direct_convolution_layer_kernel_8h.xhtml',1,'']]],
- ['cldirectconvolutionlayeroutputstagekernel_2eh',['CLDirectConvolutionLayerOutputStageKernel.h',['../_c_l_direct_convolution_layer_output_stage_kernel_8h.xhtml',1,'']]],
- ['cldirectconvolutionoutputstagekernel_2ecpp',['CLDirectConvolutionOutputStageKernel.cpp',['../_c_l_direct_convolution_output_stage_kernel_8cpp.xhtml',1,'']]],
['cldirectdeconvolutionlayer_2ecpp',['CLDirectDeconvolutionLayer.cpp',['../_c_l_direct_deconvolution_layer_8cpp.xhtml',1,'']]],
['cldirectdeconvolutionlayer_2eh',['CLDirectDeconvolutionLayer.h',['../_c_l_direct_deconvolution_layer_8h.xhtml',1,'']]],
['cldistribution1d_2ecpp',['CLDistribution1D.cpp',['../_c_l_distribution1_d_8cpp.xhtml',1,'']]],
@@ -289,8 +287,6 @@
['clgemmlowpreductionkernel_2eh',['CLGEMMLowpReductionKernel.h',['../_c_l_g_e_m_m_lowp_reduction_kernel_8h.xhtml',1,'']]],
['clgemmmatrixaccumulatebiaseskernel_2ecpp',['CLGEMMMatrixAccumulateBiasesKernel.cpp',['../_c_l_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.xhtml',1,'']]],
['clgemmmatrixaccumulatebiaseskernel_2eh',['CLGEMMMatrixAccumulateBiasesKernel.h',['../_c_l_g_e_m_m_matrix_accumulate_biases_kernel_8h.xhtml',1,'']]],
- ['clgemmmatrixadditionkernel_2ecpp',['CLGEMMMatrixAdditionKernel.cpp',['../_c_l_g_e_m_m_matrix_addition_kernel_8cpp.xhtml',1,'']]],
- ['clgemmmatrixadditionkernel_2eh',['CLGEMMMatrixAdditionKernel.h',['../_c_l_g_e_m_m_matrix_addition_kernel_8h.xhtml',1,'']]],
['clgemmmatrixmultiplykernel_2ecpp',['CLGEMMMatrixMultiplyKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_kernel_8cpp.xhtml',1,'']]],
['clgemmmatrixmultiplykernel_2eh',['CLGEMMMatrixMultiplyKernel.h',['../_c_l_g_e_m_m_matrix_multiply_kernel_8h.xhtml',1,'']]],
['clgemmmatrixmultiplynativekernel_2ecpp',['CLGEMMMatrixMultiplyNativeKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_native_kernel_8cpp.xhtml',1,'']]],
@@ -347,6 +343,10 @@
['clhogmultidetection_2eh',['CLHOGMultiDetection.h',['../_c_l_h_o_g_multi_detection_8h.xhtml',1,'']]],
['clim2colkernel_2ecpp',['CLIm2ColKernel.cpp',['../_c_l_im2_col_kernel_8cpp.xhtml',1,'']]],
['clim2colkernel_2eh',['CLIm2ColKernel.h',['../_c_l_im2_col_kernel_8h.xhtml',1,'']]],
+ ['clinstancenormalizationlayer_2ecpp',['CLInstanceNormalizationLayer.cpp',['../_c_l_instance_normalization_layer_8cpp.xhtml',1,'']]],
+ ['clinstancenormalizationlayer_2eh',['CLInstanceNormalizationLayer.h',['../_c_l_instance_normalization_layer_8h.xhtml',1,'']]],
+ ['clinstancenormalizationlayerkernel_2ecpp',['CLInstanceNormalizationLayerKernel.cpp',['../_c_l_instance_normalization_layer_kernel_8cpp.xhtml',1,'']]],
+ ['clinstancenormalizationlayerkernel_2eh',['CLInstanceNormalizationLayerKernel.h',['../_c_l_instance_normalization_layer_kernel_8h.xhtml',1,'']]],
['clintegralimage_2ecpp',['CLIntegralImage.cpp',['../_c_l_integral_image_8cpp.xhtml',1,'']]],
['clintegralimage_2eh',['CLIntegralImage.h',['../_c_l_integral_image_8h.xhtml',1,'']]],
['clintegralimagekernel_2ecpp',['CLIntegralImageKernel.cpp',['../_c_l_integral_image_kernel_8cpp.xhtml',1,'']]],
@@ -397,7 +397,6 @@
['clmedian3x3kernel_2eh',['CLMedian3x3Kernel.h',['../_c_l_median3x3_kernel_8h.xhtml',1,'']]],
['clmemory_2ecpp',['CLMemory.cpp',['../_c_l_memory_8cpp.xhtml',1,'']]],
['clmemory_2eh',['CLMemory.h',['../_c_l_memory_8h.xhtml',1,'']]],
- ['clmemorygroup_2eh',['CLMemoryGroup.h',['../_c_l_memory_group_8h.xhtml',1,'']]],
['clmemoryregion_2ecpp',['CLMemoryRegion.cpp',['../_c_l_memory_region_8cpp.xhtml',1,'']]],
['clmemoryregion_2eh',['CLMemoryRegion.h',['../_c_l_memory_region_8h.xhtml',1,'']]],
['clmemsetkernel_2ecpp',['CLMemsetKernel.cpp',['../_c_l_memset_kernel_8cpp.xhtml',1,'']]],
@@ -434,6 +433,8 @@
['clopticalflow_2eh',['CLOpticalFlow.h',['../_c_l_optical_flow_8h.xhtml',1,'']]],
['clpadlayer_2ecpp',['CLPadLayer.cpp',['../_c_l_pad_layer_8cpp.xhtml',1,'']]],
['clpadlayer_2eh',['CLPadLayer.h',['../_c_l_pad_layer_8h.xhtml',1,'']]],
+ ['clpadlayerkernel_2ecpp',['CLPadLayerKernel.cpp',['../_c_l_pad_layer_kernel_8cpp.xhtml',1,'']]],
+ ['clpadlayerkernel_2eh',['CLPadLayerKernel.h',['../_c_l_pad_layer_kernel_8h.xhtml',1,'']]],
['clpermute_2ecpp',['CLPermute.cpp',['../_c_l_permute_8cpp.xhtml',1,'']]],
['clpermute_2eh',['CLPermute.h',['../_c_l_permute_8h.xhtml',1,'']]],
['clpermutekernel_2ecpp',['CLPermuteKernel.cpp',['../_c_l_permute_kernel_8cpp.xhtml',1,'']]],
@@ -496,6 +497,8 @@
['clroipoolinglayer_2eh',['CLROIPoolingLayer.h',['../_c_l_r_o_i_pooling_layer_8h.xhtml',1,'']]],
['clroipoolinglayerkernel_2ecpp',['CLROIPoolingLayerKernel.cpp',['../_c_l_r_o_i_pooling_layer_kernel_8cpp.xhtml',1,'']]],
['clroipoolinglayerkernel_2eh',['CLROIPoolingLayerKernel.h',['../_c_l_r_o_i_pooling_layer_kernel_8h.xhtml',1,'']]],
+ ['clruntimecontext_2ecpp',['CLRuntimeContext.cpp',['../_c_l_runtime_context_8cpp.xhtml',1,'']]],
+ ['clruntimecontext_2eh',['CLRuntimeContext.h',['../_c_l_runtime_context_8h.xhtml',1,'']]],
['clscale_2ecpp',['CLScale.cpp',['../_c_l_scale_8cpp.xhtml',1,'']]],
['clscale_2eh',['CLScale.h',['../_c_l_scale_8h.xhtml',1,'']]],
['clscalekernel_2ecpp',['CLScaleKernel.cpp',['../_c_l_scale_kernel_8cpp.xhtml',1,'']]],
@@ -624,6 +627,8 @@
['combine_2eh',['combine.h',['../combine_8h.xhtml',1,'']]],
['commandlineoptions_2eh',['CommandLineOptions.h',['../_command_line_options_8h.xhtml',1,'']]],
['commandlineparser_2eh',['CommandLineParser.h',['../_command_line_parser_8h.xhtml',1,'']]],
+ ['commongemmexampleoptions_2ecpp',['CommonGemmExampleOptions.cpp',['../_common_gemm_example_options_8cpp.xhtml',1,'']]],
+ ['commongemmexampleoptions_2eh',['CommonGemmExampleOptions.h',['../_common_gemm_example_options_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,'']]],
diff --git a/documentation/search/files_4.js b/documentation/search/files_4.js
index e9885ec..1bbcea9 100644
--- a/documentation/search/files_4.js
+++ b/documentation/search/files_4.js
@@ -23,22 +23,25 @@
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['depthwiseconvolutionlayer_2eh',['DepthwiseConvolutionLayer.h',['../_depthwise_convolution_layer_8h.xhtml',1,'']]],
+ ['depthwiseconvolutionlayernative_2ecpp',['DepthwiseConvolutionLayerNative.cpp',['../_c_l_2_depthwise_convolution_layer_native_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_depthwise_convolution_layer_native_8cpp.xhtml',1,'(Global Namespace)']]],
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['depthwiseconvolutionlayernode_2eh',['DepthwiseConvolutionLayerNode.h',['../_depthwise_convolution_layer_node_8h.xhtml',1,'']]],
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['dequantizationlayer_2eh',['DequantizationLayer.h',['../_dequantization_layer_8h.xhtml',1,'']]],
+ ['dequantizationlayernode_2ecpp',['DequantizationLayerNode.cpp',['../_dequantization_layer_node_8cpp.xhtml',1,'']]],
+ ['dequantizationlayernode_2eh',['DequantizationLayerNode.h',['../_dequantization_layer_node_8h.xhtml',1,'']]],
['derivative_2ecl',['derivative.cl',['../derivative_8cl.xhtml',1,'']]],
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['derivative_2eh',['Derivative.h',['../_derivative_8h.xhtml',1,'']]],
['detectionoutputlayernode_2ecpp',['DetectionOutputLayerNode.cpp',['../_detection_output_layer_node_8cpp.xhtml',1,'']]],
['detectionoutputlayernode_2eh',['DetectionOutputLayerNode.h',['../_detection_output_layer_node_8h.xhtml',1,'']]],
- ['detectionpostprocesslayer_2ecpp',['DetectionPostProcessLayer.cpp',['../_detection_post_process_layer_8cpp.xhtml',1,'']]],
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['detectionpostprocesslayernode_2ecpp',['DetectionPostProcessLayerNode.cpp',['../_detection_post_process_layer_node_8cpp.xhtml',1,'']]],
['detectionpostprocesslayernode_2eh',['DetectionPostProcessLayerNode.h',['../_detection_post_process_layer_node_8h.xhtml',1,'']]],
+ ['deviceproperties_2ecpp',['DeviceProperties.cpp',['../_device_properties_8cpp.xhtml',1,'']]],
+ ['deviceproperties_2eh',['DeviceProperties.h',['../_device_properties_8h.xhtml',1,'']]],
['dft_2ecpp',['DFT.cpp',['../_c_p_p_2_d_f_t_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_d_f_t_8cpp.xhtml',1,'(Global Namespace)']]],
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['dilate_2ecl',['dilate.cl',['../dilate_8cl.xhtml',1,'']]],
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['direct_5fconvolution9x9_2ecl',['direct_convolution9x9.cl',['../direct__convolution9x9_8cl.xhtml',1,'']]],
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['directconvolutionlayer_2ecpp',['DirectConvolutionLayer.cpp',['../benchmark_2_c_l_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_g_l_e_s___c_o_m_p_u_t_e_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_direct_convolution_layer_8cpp.xhtml',1,'(Global Namespace)']]],
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['distribution1d_2ecpp',['Distribution1D.cpp',['../_distribution1_d_8cpp.xhtml',1,'']]],
['distribution1d_2eh',['Distribution1D.h',['../_distribution1_d_8h.xhtml',1,'']]],
['div_2eh',['div.h',['../div_8h.xhtml',1,'']]],
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['dotgraphprinter_2eh',['DotGraphPrinter.h',['../_dot_graph_printer_8h.xhtml',1,'']]],
['dropoutlayer_2ecpp',['DropoutLayer.cpp',['../_dropout_layer_8cpp.xhtml',1,'']]],
['dummynode_2ecpp',['DummyNode.cpp',['../_dummy_node_8cpp.xhtml',1,'']]],
['dummynode_2eh',['DummyNode.h',['../_dummy_node_8h.xhtml',1,'']]],
- ['dup_5fn_2eh',['dup_n.h',['../dup__n_8h.xhtml',1,'']]]
+ ['dup_5fn_2eh',['dup_n.h',['../dup__n_8h.xhtml',1,'']]],
+ ['dynamictensor_2ecpp',['DynamicTensor.cpp',['../_c_l_2_u_n_i_t_2_dynamic_tensor_8cpp.xhtml',1,'(Global Namespace)'],['../_g_l_e_s___c_o_m_p_u_t_e_2_u_n_i_t_2_dynamic_tensor_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_u_n_i_t_2_dynamic_tensor_8cpp.xhtml',1,'(Global Namespace)']]]
];
diff --git a/documentation/search/files_5.js b/documentation/search/files_5.js
index 316e0d6..fc0a3dd 100644
--- a/documentation/search/files_5.js
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['enumoption_2eh',['EnumOption.h',['../_enum_option_8h.xhtml',1,'']]],
+ ['eor_2eh',['eor.h',['../eor_8h.xhtml',1,'']]],
['equalizehistogram_2ecpp',['EqualizeHistogram.cpp',['../benchmark_2_c_l_2_equalize_histogram_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_equalize_histogram_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_equalize_histogram_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_equalize_histogram_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_equalize_histogram_8cpp.xhtml',1,'(Global Namespace)']]],
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['erode_2ecl',['erode.cl',['../erode_8cl.xhtml',1,'']]],
diff --git a/documentation/search/files_7.js b/documentation/search/files_7.js
index d7ee001..f937a6a 100644
--- a/documentation/search/files_7.js
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['gcconvolutionlayer_2eh',['GCConvolutionLayer.h',['../_g_c_convolution_layer_8h.xhtml',1,'']]],
+ ['gccoreruntimecontext_2ecpp',['GCCoreRuntimeContext.cpp',['../_g_c_core_runtime_context_8cpp.xhtml',1,'']]],
+ ['gccoreruntimecontext_2eh',['GCCoreRuntimeContext.h',['../_g_c_core_runtime_context_8h.xhtml',1,'']]],
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['gcgemmtranspose1xwkernel_2eh',['GCGEMMTranspose1xWKernel.h',['../_g_c_g_e_m_m_transpose1x_w_kernel_8h.xhtml',1,'']]],
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- ['gchelpers_2eh',['GCHelpers.h',['../_g_c_helpers_8h.xhtml',1,'']]],
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['gcpoolinglayerkernel_2eh',['GCPoolingLayerKernel.h',['../_g_c_pooling_layer_kernel_8h.xhtml',1,'']]],
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['gemmtranspose1xw_2eh',['GEMMTranspose1xW.h',['../_g_e_m_m_transpose1x_w_8h.xhtml',1,'']]],
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['generateproposalslayernode_2eh',['GenerateProposalsLayerNode.h',['../_generate_proposals_layer_node_8h.xhtml',1,'']]],
- ['generic_2ecpp',['generic.cpp',['../a32__sgemm__8x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__fp32__mla__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__s8s32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__u8u32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__native_a__pretranspose_b__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__pretransposed_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__trans_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__s8s32__dot__4x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__s8s32__dot__4x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__u8u32__dot__4x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__u8u32__dot__4x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__fp16__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__s8s32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__u8u32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp16__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp32__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__s8s32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__u8u32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__fp16__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__s8s32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__u8u32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__fp32__mla__1_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__fp32__mla__1_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__s8s32__dot__1_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__u8u32__dot__1_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)']]],
+ ['generic_2ecpp',['generic.cpp',['../a32__sgemm__8x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__s8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u16__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__gemm__u8__4x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hgemm__24x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__fp32__mla__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__s8s32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__hybrid__u8u32__dot__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__native__fp32__mla__16x4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemm__12x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__pretransposed_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__sgemv__trans_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__fp32__mla__4x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__fp32__mla__4x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__s8s32__dot__4x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__s8s32__dot__4x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__u8u32__dot__4x6_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../a64__small_k__hybrid__u8u32__dot__4x8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__fp16__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__s8s32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__hybrid__u8u32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp16__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__fp32__mla__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__s8s32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__interleaved__u8u32__dot__3_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__fp16__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__fp32__mla__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__s8s32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__native__u8u32__dot__4_v_lx4_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__s8s32__dot__1_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)'],['../sve__small_k__hybrid__u8u32__dot__1_v_lx8_2generic_8cpp.xhtml',1,'(Global Namespace)']]],
['gethigh_2eh',['gethigh.h',['../gethigh_8h.xhtml',1,'']]],
['getlane_2eh',['getlane.h',['../getlane_8h.xhtml',1,'']]],
['getlow_2eh',['getlow.h',['../getlow_8h.xhtml',1,'']]],
@@ -188,13 +193,17 @@
['graph_2ecpp',['Graph.cpp',['../_graph_8cpp.xhtml',1,'']]],
['graph_2eh',['Graph.h',['../graph_2_graph_8h.xhtml',1,'(Global Namespace)'],['../_graph_8h.xhtml',1,'(Global Namespace)']]],
['graph_5falexnet_2ecpp',['graph_alexnet.cpp',['../graph__alexnet_8cpp.xhtml',1,'']]],
+ ['graph_5fconvolution_2ecpp',['graph_convolution.cpp',['../graph__convolution_8cpp.xhtml',1,'']]],
['graph_5fdeepspeech_5fv0_5f4_5f1_2ecpp',['graph_deepspeech_v0_4_1.cpp',['../graph__deepspeech__v0__4__1_8cpp.xhtml',1,'']]],
+ ['graph_5fdepthwiseconvolution_2ecpp',['graph_depthwiseconvolution.cpp',['../graph__depthwiseconvolution_8cpp.xhtml',1,'']]],
+ ['graph_5ffully_5fconnected_2ecpp',['graph_fully_connected.cpp',['../graph__fully__connected_8cpp.xhtml',1,'']]],
['graph_5fgooglenet_2ecpp',['graph_googlenet.cpp',['../graph__googlenet_8cpp.xhtml',1,'']]],
['graph_5finception_5fresnet_5fv1_2ecpp',['graph_inception_resnet_v1.cpp',['../graph__inception__resnet__v1_8cpp.xhtml',1,'']]],
['graph_5finception_5fresnet_5fv2_2ecpp',['graph_inception_resnet_v2.cpp',['../graph__inception__resnet__v2_8cpp.xhtml',1,'']]],
['graph_5finception_5fv3_2ecpp',['graph_inception_v3.cpp',['../graph__inception__v3_8cpp.xhtml',1,'']]],
['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_5fmnist_2ecpp',['graph_mnist.cpp',['../graph__mnist_8cpp.xhtml',1,'']]],
['graph_5fmobilenet_2ecpp',['graph_mobilenet.cpp',['../graph__mobilenet_8cpp.xhtml',1,'']]],
['graph_5fmobilenet_5fv2_2ecpp',['graph_mobilenet_v2.cpp',['../graph__mobilenet__v2_8cpp.xhtml',1,'']]],
['graph_5fresnet12_2ecpp',['graph_resnet12.cpp',['../graph__resnet12_8cpp.xhtml',1,'']]],
@@ -206,6 +215,7 @@
['graph_5fsqueezenet_5fv1_5f1_2ecpp',['graph_squeezenet_v1_1.cpp',['../graph__squeezenet__v1__1_8cpp.xhtml',1,'']]],
['graph_5fsrcnn955_2ecpp',['graph_srcnn955.cpp',['../graph__srcnn955_8cpp.xhtml',1,'']]],
['graph_5fssd_5fmobilenet_2ecpp',['graph_ssd_mobilenet.cpp',['../graph__ssd__mobilenet_8cpp.xhtml',1,'']]],
+ ['graph_5fvalidate_5futils_2eh',['graph_validate_utils.h',['../graph__validate__utils_8h.xhtml',1,'']]],
['graph_5fvgg16_2ecpp',['graph_vgg16.cpp',['../graph__vgg16_8cpp.xhtml',1,'']]],
['graph_5fvgg19_2ecpp',['graph_vgg19.cpp',['../graph__vgg19_8cpp.xhtml',1,'']]],
['graph_5fvgg_5fvdsr_2ecpp',['graph_vgg_vdsr.cpp',['../graph__vgg__vdsr_8cpp.xhtml',1,'']]],
diff --git a/documentation/search/files_8.js b/documentation/search/files_8.js
index 770465c..f594d0e 100644
--- a/documentation/search/files_8.js
+++ b/documentation/search/files_8.js
@@ -8,7 +8,7 @@
['heightconcatenatelayer_2ecpp',['HeightConcatenateLayer.cpp',['../_c_l_2_height_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_height_concatenate_layer_8cpp.xhtml',1,'(Global Namespace)']]],
['helper_2eh',['Helper.h',['../_c_l_2_helper_8h.xhtml',1,'(Global Namespace)'],['../_g_l_e_s___c_o_m_p_u_t_e_2_helper_8h.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_helper_8h.xhtml',1,'(Global Namespace)']]],
['helpers_2ecpp',['Helpers.cpp',['../src_2core_2_helpers_8cpp.xhtml',1,'(Global Namespace)'],['../src_2core_2utils_2logging_2_helpers_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_helpers_8cpp.xhtml',1,'(Global Namespace)']]],
- ['helpers_2eh',['Helpers.h',['../arm__compute_2core_2_helpers_8h.xhtml',1,'(Global Namespace)'],['../arm__compute_2core_2utils_2logging_2_helpers_8h.xhtml',1,'(Global Namespace)'],['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_helpers_8h.xhtml',1,'(Global Namespace)']]],
+ ['helpers_2eh',['Helpers.h',['../arm__compute_2core_2_helpers_8h.xhtml',1,'(Global Namespace)'],['../arm__compute_2core_2utils_2logging_2_helpers_8h.xhtml',1,'(Global Namespace)'],['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml',1,'(Global Namespace)'],['../tests_2instruments_2_helpers_8h.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_helpers_8h.xhtml',1,'(Global Namespace)']]],
['helpers_2einl',['Helpers.inl',['../_helpers_8inl.xhtml',1,'']]],
['helpers_5fasymm_2eh',['helpers_asymm.h',['../helpers__asymm_8h.xhtml',1,'']]],
['histogram_2ecl',['histogram.cl',['../histogram_8cl.xhtml',1,'']]],
diff --git a/documentation/search/files_9.js b/documentation/search/files_9.js
index 1eb1007..14cdc32 100644
--- a/documentation/search/files_9.js
+++ b/documentation/search/files_9.js
@@ -6,6 +6,7 @@
['iallocator_2eh',['IAllocator.h',['../_i_allocator_8h.xhtml',1,'']]],
['iarray_2eh',['IArray.h',['../_i_array_8h.xhtml',1,'']]],
['iarrayaccessor_2eh',['IArrayAccessor.h',['../_i_array_accessor_8h.xhtml',1,'']]],
+ ['iassetmanager_2eh',['IAssetManager.h',['../_i_asset_manager_8h.xhtml',1,'']]],
['iclarray_2eh',['ICLArray.h',['../_i_c_l_array_8h.xhtml',1,'']]],
['icldepthwiseconvolutionlayer3x3kernel_2eh',['ICLDepthwiseConvolutionLayer3x3Kernel.h',['../_i_c_l_depthwise_convolution_layer3x3_kernel_8h.xhtml',1,'']]],
['icldistribution1d_2ecpp',['ICLDistribution1D.cpp',['../_i_c_l_distribution1_d_8cpp.xhtml',1,'']]],
@@ -94,6 +95,9 @@
['inplaceoperationmutator_2eh',['InPlaceOperationMutator.h',['../_in_place_operation_mutator_8h.xhtml',1,'']]],
['inputnode_2ecpp',['InputNode.cpp',['../_input_node_8cpp.xhtml',1,'']]],
['inputnode_2eh',['InputNode.h',['../_input_node_8h.xhtml',1,'']]],
+ ['instance_5fnormalization_2ecl',['instance_normalization.cl',['../instance__normalization_8cl.xhtml',1,'']]],
+ ['instancenormalizationlayer_2ecpp',['InstanceNormalizationLayer.cpp',['../_c_l_2_instance_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_instance_normalization_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_instance_normalization_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+ ['instancenormalizationlayer_2eh',['InstanceNormalizationLayer.h',['../_instance_normalization_layer_8h.xhtml',1,'']]],
['instrument_2eh',['Instrument.h',['../_instrument_8h.xhtml',1,'']]],
['instruments_2ecpp',['Instruments.cpp',['../_instruments_8cpp.xhtml',1,'']]],
['instruments_2eh',['Instruments.h',['../_instruments_8h.xhtml',1,'']]],
@@ -108,6 +112,7 @@
['ipoolmanager_2eh',['IPoolManager.h',['../_i_pool_manager_8h.xhtml',1,'']]],
['iprinter_2eh',['IPrinter.h',['../_i_printer_8h.xhtml',1,'']]],
['ipyramid_2eh',['IPyramid.h',['../_i_pyramid_8h.xhtml',1,'']]],
+ ['iruntimecontext_2eh',['IRuntimeContext.h',['../_i_runtime_context_8h.xhtml',1,'']]],
['ischeduler_2ecpp',['IScheduler.cpp',['../_i_scheduler_8cpp.xhtml',1,'']]],
['ischeduler_2eh',['IScheduler.h',['../_i_scheduler_8h.xhtml',1,'']]],
['isimplelifetimemanager_2ecpp',['ISimpleLifetimeManager.cpp',['../_i_simple_lifetime_manager_8cpp.xhtml',1,'']]],
@@ -121,5 +126,8 @@
['itensorallocator_2eh',['ITensorAllocator.h',['../_i_tensor_allocator_8h.xhtml',1,'']]],
['itensorhandle_2eh',['ITensorHandle.h',['../_i_tensor_handle_8h.xhtml',1,'']]],
['itensorinfo_2eh',['ITensorInfo.h',['../_i_tensor_info_8h.xhtml',1,'']]],
- ['iterable_2eh',['Iterable.h',['../_iterable_8h.xhtml',1,'']]]
+ ['iterable_2eh',['Iterable.h',['../_iterable_8h.xhtml',1,'']]],
+ ['itransformweights_2eh',['ITransformWeights.h',['../_i_transform_weights_8h.xhtml',1,'']]],
+ ['iweightsmanager_2ecpp',['IWeightsManager.cpp',['../_i_weights_manager_8cpp.xhtml',1,'']]],
+ ['iweightsmanager_2eh',['IWeightsManager.h',['../_i_weights_manager_8h.xhtml',1,'']]]
];
diff --git a/documentation/search/files_c.js b/documentation/search/files_c.js
index 8c0d807..6e56082 100644
--- a/documentation/search/files_c.js
+++ b/documentation/search/files_c.js
@@ -9,6 +9,7 @@
['laplacianreconstruct_2eh',['LaplacianReconstruct.h',['../_laplacian_reconstruct_8h.xhtml',1,'']]],
['layerdescriptors_2eh',['LayerDescriptors.h',['../_layer_descriptors_8h.xhtml',1,'']]],
['layers_2eh',['Layers.h',['../_layers_8h.xhtml',1,'']]],
+ ['lifetimemanager_2ecpp',['LifetimeManager.cpp',['../_lifetime_manager_8cpp.xhtml',1,'']]],
['list_2ehpp',['list.hpp',['../merges_2list_8hpp.xhtml',1,'(Global Namespace)'],['../transforms_2list_8hpp.xhtml',1,'(Global Namespace)']]],
['listoption_2eh',['ListOption.h',['../_list_option_8h.xhtml',1,'']]],
['load_2eh',['load.h',['../load_8h.xhtml',1,'']]],
@@ -22,6 +23,8 @@
['loggerregistry_2eh',['LoggerRegistry.h',['../_logger_registry_8h.xhtml',1,'']]],
['loglayer_2ecpp',['LogLayer.cpp',['../_log_layer_8cpp.xhtml',1,'']]],
['logmsgdecorators_2eh',['LogMsgDecorators.h',['../_log_msg_decorators_8h.xhtml',1,'']]],
+ ['logsoftmaxlayer_2ecpp',['LogSoftmaxLayer.cpp',['../_c_l_2_log_softmax_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_log_softmax_layer_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_log_softmax_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+ ['logsoftmaxlayer_2eh',['LogSoftmaxLayer.h',['../_log_softmax_layer_8h.xhtml',1,'']]],
['lstmlayer_2ecpp',['LSTMLayer.cpp',['../_c_l_2_l_s_t_m_layer_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_l_s_t_m_layer_8cpp.xhtml',1,'(Global Namespace)']]],
['lstmlayerquantized_2ecpp',['LSTMLayerQuantized.cpp',['../_c_l_2_l_s_t_m_layer_quantized_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_l_s_t_m_layer_quantized_8cpp.xhtml',1,'(Global Namespace)']]],
['lstmparams_2eh',['LSTMParams.h',['../_l_s_t_m_params_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_d.js b/documentation/search/files_d.js
index b3a2148..c0185e9 100644
--- a/documentation/search/files_d.js
+++ b/documentation/search/files_d.js
@@ -20,13 +20,13 @@
['memory_2ecpp',['Memory.cpp',['../_memory_8cpp.xhtml',1,'']]],
['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',['../_c_l_2_u_n_i_t_2_memory_manager_8cpp.xhtml',1,'(Global Namespace)'],['../_g_l_e_s___c_o_m_p_u_t_e_2_u_n_i_t_2_memory_manager_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_u_n_i_t_2_memory_manager_8cpp.xhtml',1,'(Global Namespace)']]],
['memorymanagerondemand_2ecpp',['MemoryManagerOnDemand.cpp',['../_memory_manager_on_demand_8cpp.xhtml',1,'']]],
['memorymanagerondemand_2eh',['MemoryManagerOnDemand.h',['../_memory_manager_on_demand_8h.xhtml',1,'']]],
['memoryregion_2eh',['MemoryRegion.h',['../_memory_region_8h.xhtml',1,'']]],
['memset_2ecl',['memset.cl',['../memset_8cl.xhtml',1,'']]],
['memutils_2ecpp',['MEMUtils.cpp',['../_m_e_m_utils_8cpp.xhtml',1,'']]],
+ ['mergeresults_2ecpp',['mergeresults.cpp',['../mergeresults_8cpp.xhtml',1,'']]],
['mergeresults_2ehpp',['mergeresults.hpp',['../mergeresults_8hpp.xhtml',1,'']]],
['midgardtuner_2ecpp',['MidgardTuner.cpp',['../_midgard_tuner_8cpp.xhtml',1,'']]],
['midgardtuner_2eh',['MidgardTuner.h',['../_midgard_tuner_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_e.js b/documentation/search/files_e.js
index 367f8a4..6d0a868 100644
--- a/documentation/search/files_e.js
+++ b/documentation/search/files_e.js
@@ -52,6 +52,10 @@
['nebitwisexor_2eh',['NEBitwiseXor.h',['../_n_e_bitwise_xor_8h.xhtml',1,'']]],
['nebitwisexorkernel_2ecpp',['NEBitwiseXorKernel.cpp',['../_n_e_bitwise_xor_kernel_8cpp.xhtml',1,'']]],
['nebitwisexorkernel_2eh',['NEBitwiseXorKernel.h',['../_n_e_bitwise_xor_kernel_8h.xhtml',1,'']]],
+ ['neboundingboxtransform_2ecpp',['NEBoundingBoxTransform.cpp',['../_n_e_bounding_box_transform_8cpp.xhtml',1,'']]],
+ ['neboundingboxtransform_2eh',['NEBoundingBoxTransform.h',['../_n_e_bounding_box_transform_8h.xhtml',1,'']]],
+ ['neboundingboxtransformkernel_2ecpp',['NEBoundingBoxTransformKernel.cpp',['../_n_e_bounding_box_transform_kernel_8cpp.xhtml',1,'']]],
+ ['neboundingboxtransformkernel_2eh',['NEBoundingBoxTransformKernel.h',['../_n_e_bounding_box_transform_kernel_8h.xhtml',1,'']]],
['nebox3x3_2ecpp',['NEBox3x3.cpp',['../_n_e_box3x3_8cpp.xhtml',1,'']]],
['nebox3x3_2eh',['NEBox3x3.h',['../_n_e_box3x3_8h.xhtml',1,'']]],
['nebox3x3kernel_2ecpp',['NEBox3x3Kernel.cpp',['../_n_e_box3x3_kernel_8cpp.xhtml',1,'']]],
@@ -83,12 +87,16 @@
['necolorconverthelper_2einl',['NEColorConvertHelper.inl',['../_n_e_color_convert_helper_8inl.xhtml',1,'']]],
['necolorconvertkernel_2ecpp',['NEColorConvertKernel.cpp',['../_n_e_color_convert_kernel_8cpp.xhtml',1,'']]],
['necolorconvertkernel_2eh',['NEColorConvertKernel.h',['../_n_e_color_convert_kernel_8h.xhtml',1,'']]],
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diff --git a/documentation/search/functions_1b.html b/documentation/search/functions_1b.html
new file mode 100644
index 0000000..6705d7b
--- /dev/null
+++ b/documentation/search/functions_1b.html
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+<html><head><title></title>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
+<link rel="stylesheet" type="text/css" href="search.css"/>
+<script type="text/javascript" src="functions_1b.js"></script>
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+</head>
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diff --git a/documentation/search/functions_1b.js b/documentation/search/functions_1b.js
new file mode 100644
index 0000000..ef76f1d
--- /dev/null
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TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(3, 20), 1, DataType::F32), })), framework::dataset::make("BoxIndInfo",{ TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(10), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 10U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::S32), TensorInfo(TensorShape(5U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false, false, false})), input, boxes, box_ind, output, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09dfd649bde45b9abda8b839a0c84e1c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo", { 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("BiasInfo", { 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("OutputInfo",{ 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("PadStrideInfo", { 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("Expected", { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378b53971fc5c47dc3205c5cbe769a24',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo1", { 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("InputInfo2", { 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("OutputInfo", { 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("Expected", { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a308fdbbdd8acf151212546da812f9241',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), 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(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U16), })), framework::dataset::make("Policy",{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make("Shift",{ 1, 1, 8, 1, 1, 1, })), framework::dataset::make("Expected", { false, false, false, false, false, true})), input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9716de1edbd47e39aea19510d8667dc7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e4970f770f23aaa759017adf107da3e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 8U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make("BlockShape", { 2, 1, 2, 2, 2 })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 16U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(64U, 16U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false})), input_info, block_shape, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed5f7a9b1bde3cc3a789cd674974e254',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { 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, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { 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(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), 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(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), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, 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, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1746a40504c1600cad5df8b24c2c928e',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { 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, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { 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(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), 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, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37cb466fcacd191071bf2d6d4a1dba5e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, true, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7aadc4b7727668e738a6e31fe7a12f3d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make("Format", Format::U8)), shape, border_mode, 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TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), 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, 0, 0), PadStrideInfo(1, 1, 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TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32) })), framework::dataset::make("OutputInfo", { 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("PadStride", { 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("Expected", { 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#a6498b224c9fcde95311d04ab92e9ecf1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), framework::dataset::make("DataType", DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7d89f8b6714c942b5d8f0c363b863a2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::S16)), shape, 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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), })), framework::dataset::make("AxisInfo", { TensorInfo(TensorShape(3U), 1, DataType::U8), TensorInfo(TensorShape(2U, 10U), 1, DataType::U32), TensorInfo(TensorShape(8U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), TensorInfo(TensorShape(2U), 1, DataType::U32), })), framework::dataset::make("Expected", { false, false, false, false, true, true})), src_info, dst_info, axis_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71312f987688bcde305a812d35b13dd3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo", { 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), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make("RecurrentWeightsInfo", { 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), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make("BiasInfo", { 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("OutputInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 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TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(3, 20), 1, DataType::F32), })), framework::dataset::make("BoxIndInfo",{ TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(10), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 10U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::S32), TensorInfo(TensorShape(5U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false, false, false})), input, boxes, box_ind, output, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09dfd649bde45b9abda8b839a0c84e1c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo", { 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("BiasInfo", { 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("OutputInfo",{ 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("PadStrideInfo", { 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("Expected", { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378b53971fc5c47dc3205c5cbe769a24',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo1", { 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("InputInfo2", { 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("OutputInfo", { 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("Expected", { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a308fdbbdd8acf151212546da812f9241',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), 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(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 32U, 2U), 1, DataType::U16), })), framework::dataset::make("Policy",{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make("Shift",{ 1, 1, 8, 1, 1, 1, })), framework::dataset::make("Expected", { false, false, false, false, false, true})), input_info, output_info, policy, shift, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9716de1edbd47e39aea19510d8667dc7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e4970f770f23aaa759017adf107da3e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 8U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make("BlockShape", { 2, 1, 2, 2, 2 })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 16U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(64U, 16U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false})), input_info, block_shape, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed5f7a9b1bde3cc3a789cd674974e254',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { 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, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { 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(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), 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(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), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, 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, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1746a40504c1600cad5df8b24c2c928e',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { 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, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { 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(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), 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, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37cb466fcacd191071bf2d6d4a1dba5e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, true, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7aadc4b7727668e738a6e31fe7a12f3d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make("Format", Format::U8)), shape, border_mode, 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t_values_rhs), broadcast_bias_values), act_values), m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs, t_value_rhs, broadcast_bias, act_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb8ee580efcdf567d6a4dae88c475000',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationSmall, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values), shape_in, b_value, data_type, m0_value, k0_value, v0_value, i_value, t_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa7f83bdb36e6941d35892103ce3efe9',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationLarge, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), data_types), m0_values_nightly), k0_values_nightly), 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i_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b5d13a6ee6b773fc732ec5579bf6132',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration1, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), n0_values_nightly), k0_nt_values_nightly), h0_values), i_values), shape_in, b_value, data_type, n0_value, k0_value, h0_value, i_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3bb599d35c61a90a1923890e1ec71bdb',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("scores", { TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16)}), framework::dataset::make("deltas",{ TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32)})), framework::dataset::make("anchors", { TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32)})), framework::dataset::make("proposals", { TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32)})), framework::dataset::make("scores_out", { TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32)})), framework::dataset::make("num_valid_proposals", { TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 10U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::F16)})), framework::dataset::make("generate_proposals_info", { GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f)})), framework::dataset::make("Expected", { true, false, false, false, false, false })), scores, deltas, anchors, proposals, scores_out, num_valid_proposals, generate_proposals_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a50aded66249956a556f69c7d7cb09a64',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseAllAnchors, framework::DatasetMode::ALL, framework::dataset::make("DataType", { DataType::F32 }), data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa806b8b3e966200908042a36f14954f1',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseGenerateProposals, framework::DatasetMode::ALL, combine(framework::dataset::make("DataType", { DataType::F32 }), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a52a920e879bf84c11e62764a9500c9',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data_nightly), framework::dataset::make("Format", Format::U8)), shape, gradient_size, block_size, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab643382ce12afed7780a6707991da1dd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1df3843c8077aad2f1daacc093cbff1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { 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("OutputInfo",{ 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("HasBias", { true, true, true, false })), framework::dataset::make("Expected", { false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af40d6e921c6b14bb0316fc56dd515ca9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32) })), framework::dataset::make("Expected", { false, false, false, false, true, true, true, true, true, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae42ced23c3e427fa851c1ce7fcabfb60',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { 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), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { 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), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) })), framework::dataset::make("Axis", { 0, 0, 0, 0, static_cast< int >(TensorShape::num_max_dimensions), 3, -2, 0 })), framework::dataset::make("Expected", { false, false, false, false, true, true, true, 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#a876889712d97367ca5ed4b922705fc6e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo",{ 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("BiasInfo", { 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("OutputInfo", { 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("PadStride", { 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("Expected", { 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#a13b7abb0d97c0768de8e5e1976cd2805',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make("DataType", DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aff993409f5489af4dec6bea2971170d0',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("InputWeightsInfo", { 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("RecurrentWeightsInfo", { 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("CellBiasInfo", { 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("ProjectionBiasInfo", { 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("CellStateInfo", { 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("OutputInfo", { 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, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make("ScratchInfo", { 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("ActivationInfo", { 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("Expected", { 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, 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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), })), framework::dataset::make("Numclasses", { 1, 1, 1, 0, 1, 1, 1, 1 })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, true})), input_info, output_info, act_info, num_classes, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3638fbc64e378fe2839dcf3c1f57cfdc',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("BoxEncodingsInfo", { TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::S8), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::F32), 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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("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make("Expected", { false, false, false, true})), input1_info, input2_info, output_info, 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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), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo", { 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), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make("BiasesInfo", { 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), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo", { 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), 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1U), Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b6324e6a1f3b0e53d71a14617026fcd',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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(27U, 13U, 8U), 1, 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2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { 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(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), 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zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo", { 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("OutputInfo", { 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("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make("Dilation", { Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make("Expected", { 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#a69ea3c5dd19aaf289330db00e8cd20a8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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), 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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("OutputInfo",{ 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("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(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make("Expected", { 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#ad0430585d83ec7ac6d5b857415d62906',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a283cdb9d06e3a1a3f1adfd69c8afa313',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5cc3776357bdc1a71c8731f249de098c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc9d454e2284b99075b4362baea8c238',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, 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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4fbf0e6a1c8356ad0918515bb1310e1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { 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("WeightsInfo",{ 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("BiasInfo",{ 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("OutputInfo",{ 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("TransposeWeights",{ true, true, false, true, true, true })), framework::dataset::make("ReshapedWeights",{ false, false, false, false, false, false})), framework::dataset::make("Expected", { 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#aa1ce956bb3fa59263550acbad4f07423',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 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1, 2, -3, })), framework::dataset::make("Expected", { true, true, false, false, false, false, false, false })), input_info, indices_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11fd6d63471dbfe356bf3f9a8148d15a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make("DataType", { DataType::F32 })), input_shape, indices_shape, axis, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2492479cb961e36976a096e29d2b9d4',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#a7fbe9343f61b58335701e0d7a6200ce1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputAInfo", { 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("InputBInfo",{ 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("OutputInfo",{ 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("Expected", { false, false, false, false, true })), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39e8116f6234a2d52f9c819fe6ca1c90',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputAInfo", { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), }), framework::dataset::make("InputBInfo",{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), })), framework::dataset::make("Min",{ 0, 8, 13, })), framework::dataset::make("Max",{ 205, 300, 180, })), framework::dataset::make("Expected", { true, false, false })), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45dfda69a9789e4e69365236d1dfcc35',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputAInfo", { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), }), framework::dataset::make("InputBInfo",{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), 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PaddingMode::SYMMETRIC })), framework::dataset::make("Expected", { false, false, true, true, true, true, false, false, true, false, false, true })), input_info, output_info, padding, mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a162f3cbf36f25099d89afc0d3aab5786',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("Input1Info", { 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), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make("Input2Info",{ 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), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make("OutputInfo",{ 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), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make("Scale",{ scale_unity, scale_unity, scale_unity, -1.f, scale_unity, scale_unity, scale_unity})), framework::dataset::make("Expected", { true, true, false, false, false, false, false, false })), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed08bc1c9d8813e8b3e6d7da9c892ad1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { 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("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, 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DataType::F32), })), framework::dataset::make("Expected", { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c57370131786b1f37e040ffd06bf477',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::U8), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::U8), TensorInfo(TensorShape(32U), 1, DataType::F32), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(27U), 1, DataType::U8), TensorInfo(TensorShape(10U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U), 1, DataType::U8), }), framework::dataset::make("Start",{ 0.0f, 15.0f, 1500.0f, 100.0f, -15.0f, 0.2f, 2.0f, 10.0f, 10.0f })), framework::dataset::make("End",{ 100.0f, 15.0f, 2500.0f, -1000.0f, 15.0f, 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index 28c46ee..7cd5645 100644
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index 4c07493..0ce3411 100644
--- a/documentation/search/typedefs_14.js
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index 35da92c..af63a3e 100644
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['clgemmlowpmatrixmultiplyreshapedonlyrhsfixture',['CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ee2e5ad5925615ee01db515e85364d6',1,'arm_compute::test::validation']]],
- ['clgemmlowpquantizedownint32toint16scalebyfixedpointfixture',['CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a15c6506e30173db40a20ba12ffbd3e47',1,'arm_compute::test::validation']]],
+ ['clgemmlowpquantizedownint32toint16scalebyfixedpointfixture',['CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0155a800a4994d6df688cf73502aa1ea',1,'arm_compute::test::validation']]],
['clgemmlowpquantizedownint32touint8scalebyfixedpointfixture',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a71106ae8df0196a319680b32270fd757',1,'arm_compute::test::validation']]],
['clgemmlowpquantizedownint32touint8scalefixture',['CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a527c6fecbfe2c655c29481170eeee85a',1,'arm_compute::test::validation']]],
- ['clgemmmatrixmultiplynative',['CLGEMMMatrixMultiplyNative',['../namespacearm__compute_1_1test_1_1validation.xhtml#a20783331257f992937044f2d0583f6a5',1,'arm_compute::test::validation']]],
+ ['clgemmmatrixmultiplynative',['CLGEMMMatrixMultiplyNative',['../cl__gemm__native_8cpp.xhtml#a666a3d96fa9a5c507f994c97836b89d2',1,'CLGEMMMatrixMultiplyNative(): cl_gemm_native.cpp'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20783331257f992937044f2d0583f6a5',1,'arm_compute::test::validation::CLGEMMMatrixMultiplyNative()']]],
['clgemmmatrixmultiplynative3dfixture',['CLGEMMMatrixMultiplyNative3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0945cf440bbfbc3f45b026783e7dd8ca',1,'arm_compute::test::validation']]],
['clgemmmatrixmultiplynativefixture',['CLGEMMMatrixMultiplyNativeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4793952e8a68280d40a8a970963bdc0b',1,'arm_compute::test::validation']]],
- ['clgemmmatrixmultiplyreshaped',['CLGEMMMatrixMultiplyReshaped',['../namespacearm__compute_1_1test_1_1validation.xhtml#a555e06271e47def9ad2a7288e866f49c',1,'arm_compute::test::validation']]],
+ ['clgemmmatrixmultiplyreshaped',['CLGEMMMatrixMultiplyReshaped',['../cl__gemm__reshaped_8cpp.xhtml#aef2bff6ec4b6feae174c83118f4d2fd9',1,'CLGEMMMatrixMultiplyReshaped(): cl_gemm_reshaped.cpp'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a555e06271e47def9ad2a7288e866f49c',1,'arm_compute::test::validation::CLGEMMMatrixMultiplyReshaped()']]],
['clgemmmatrixmultiplyreshaped3dfixture',['CLGEMMMatrixMultiplyReshaped3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a190fe7a9395c7506255fd387eb1be2',1,'arm_compute::test::validation']]],
+ ['clgemmmatrixmultiplyreshaped3dmixedprecisionfixture',['CLGEMMMatrixMultiplyReshaped3DMixedPrecisionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a72d484fd3e9befa3c8d99407e9fac51b',1,'arm_compute::test::validation']]],
['clgemmmatrixmultiplyreshapedfixture',['CLGEMMMatrixMultiplyReshapedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a10eacde4892fc6fdb56211ef534edaf6',1,'arm_compute::test::validation']]],
- ['clgemmmatrixmultiplyreshapedonlyrhs',['CLGEMMMatrixMultiplyReshapedOnlyRHS',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c47d479a7819a577544acf51b89941f',1,'arm_compute::test::validation']]],
+ ['clgemmmatrixmultiplyreshapedmixedprecisionfixture',['CLGEMMMatrixMultiplyReshapedMixedPrecisionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4977d9f3c016b3f747c7a06d61feeee4',1,'arm_compute::test::validation']]],
+ ['clgemmmatrixmultiplyreshapedonlyrhs',['CLGEMMMatrixMultiplyReshapedOnlyRHS',['../cl__gemm__reshaped__rhs__only_8cpp.xhtml#aa30715ef3ca42aca1ba2ff8346eca5cd',1,'CLGEMMMatrixMultiplyReshapedOnlyRHS(): cl_gemm_reshaped_rhs_only.cpp'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c47d479a7819a577544acf51b89941f',1,'arm_compute::test::validation::CLGEMMMatrixMultiplyReshapedOnlyRHS()']]],
['clgemmmatrixmultiplyreshapedonlyrhs3dfixture',['CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a81f32f4e677c57e6d38de01556a05629',1,'arm_compute::test::validation']]],
['clgemmmatrixmultiplyreshapedonlyrhsfixture',['CLGEMMMatrixMultiplyReshapedOnlyRHSFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ac14a0f9fc0f3c9d2af7469826915c4',1,'arm_compute::test::validation']]],
['clgemmoutput3dfixture',['CLGEMMOutput3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af493d098e0b392ecf7fd8eab4fa97342',1,'arm_compute::test::validation']]],
- ['clgemmreshapelhsmatrix',['CLGEMMReshapeLHSMatrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a192c089a799e8995532f460afbc8f7ab',1,'arm_compute::test::validation']]],
+ ['clgemmreshapelhsmatrix',['CLGEMMReshapeLHSMatrix',['../cl__gemm__reshaped_8cpp.xhtml#a06f6ed688b79dd0cc31e0a2e4e474e2d',1,'CLGEMMReshapeLHSMatrix(): cl_gemm_reshaped.cpp'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a192c089a799e8995532f460afbc8f7ab',1,'arm_compute::test::validation::CLGEMMReshapeLHSMatrix()']]],
['clgemmreshapelhsmatrix3dfixture',['CLGEMMReshapeLHSMatrix3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a670407d9a85f9e7f95ceb2f6131edd8f',1,'arm_compute::test::validation']]],
['clgemmreshapelhsmatrixfixture',['CLGEMMReshapeLHSMatrixFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5421498ced7e1d84398e7089e8676698',1,'arm_compute::test::validation']]],
['clgemmreshaperhsmatrix',['CLGEMMReshapeRHSMatrix',['../namespacearm__compute_1_1test_1_1validation.xhtml#a271f3aaba51bc5f0476207e081b5d218',1,'arm_compute::test::validation']]],
@@ -157,6 +166,7 @@
['clim2col',['CLIm2Col',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2289f0e5c61a8aa201bbc5f6d1eee22',1,'arm_compute::test::validation']]],
['clim2colfixture',['CLIm2ColFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5337d141dd770ebf0b894c2ea328d475',1,'arm_compute::test::validation']]],
['climage',['CLImage',['../namespacearm__compute.xhtml#aae712f442eae2d56d17529ca6cb9cb77',1,'arm_compute']]],
+ ['clinstancenormalizationlayerfixture',['CLInstanceNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adc6655ec06ad3e1aece58d611a87614a',1,'arm_compute::test::validation']]],
['clint16array',['CLInt16Array',['../namespacearm__compute.xhtml#a5fb8cb339705102066c915d18f0701ac',1,'arm_compute']]],
['clint32array',['CLInt32Array',['../namespacearm__compute.xhtml#a8a401a071524761c661a75969c951cf5',1,'arm_compute']]],
['clintegralimagefixture',['CLIntegralImageFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8fc18b4c2d47da95594550b5c623a53c',1,'arm_compute::test::benchmark::CLIntegralImageFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a365ecc9d42b5aa53e47b1331fa8be439',1,'arm_compute::test::validation::CLIntegralImageFixture()']]],
@@ -170,13 +180,16 @@
['cllocallyconnectedfixture',['CLLocallyConnectedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06a2346d6ea7c3502acb864cf9dca472',1,'arm_compute::test::validation']]],
['cllocallyconnectedlayerfixture',['CLLocallyConnectedLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a33a2676af30f41e61ad5fb058305f3a1',1,'arm_compute::test::benchmark']]],
['clloglayerfixture',['CLLogLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a183f703c9269cf1936649ab0d2fc6628',1,'arm_compute::test::validation']]],
+ ['cllogsoftmaxlayer',['CLLogSoftmaxLayer',['../namespacearm__compute.xhtml#aa02883dd85b75a6eb0d4878f266908dd',1,'arm_compute']]],
+ ['cllogsoftmaxlayerfixture',['CLLogSoftmaxLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a88bc8aeaef3bfc5061f36067b29d9810',1,'arm_compute::test::validation']]],
+ ['cllogsoftmaxlayerquantizedfixture',['CLLogSoftmaxLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af056a83c5ab2dbf08a1dd0fff1776162',1,'arm_compute::test::validation']]],
['cllstmlayerfixture',['CLLSTMLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1405b73d186e006e4df0b74fd992a85e',1,'arm_compute::test::validation']]],
['clmagnitudefixture',['CLMagnitudeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af130b604cb659b8c6b42ad2de6f2ef09',1,'arm_compute::test::benchmark::CLMagnitudeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31869f2bbeb22798fa9418c65178bbed',1,'arm_compute::test::validation::CLMagnitudeFixture()']]],
['clmeanstddevfixture',['CLMeanStdDevFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a44a9e1114f48b06eaad2131b8ca3ec18',1,'arm_compute::test::benchmark::CLMeanStdDevFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a631f2be1b59ac1d5df3361b5440664da',1,'arm_compute::test::validation::CLMeanStdDevFixture()']]],
['clmeanstddevnormalizationlayerfixture',['CLMeanStdDevNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad10655f9076dff6f3700d90660fd2bb7',1,'arm_compute::test::validation']]],
['clmedian3x3fixture',['CLMedian3x3Fixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#abfa1c97445d63b3c8a8a02d2f6802de2',1,'arm_compute::test::benchmark::CLMedian3x3Fixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14c81dd0871df4ddd2eb082220b33036',1,'arm_compute::test::validation::CLMedian3x3Fixture()']]],
- ['clmemorygroup',['CLMemoryGroup',['../namespacearm__compute.xhtml#ac87d48489667d7ff7fc4cc7d0d12c52e',1,'arm_compute']]],
['clminmaxlocationfixture',['CLMinMaxLocationFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa6bdcf79c9da7dc65b1863fffb00031a',1,'arm_compute::test::benchmark::CLMinMaxLocationFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab27e23fc11355e60fc8f96cd23a6fafe',1,'arm_compute::test::validation::CLMinMaxLocationFixture()']]],
+ ['clmixedprecesionpoolinglayerfixture',['CLMixedPrecesionPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3cf6a8cb6d6dde3754c8d212b13b9d6',1,'arm_compute::test::validation']]],
['clneglayerfixture',['CLNegLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a580051cd5c737d5dad551535ded1e7f3',1,'arm_compute::test::validation']]],
['clnonlinearfilterfixture',['CLNonLinearFilterFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4f51783dfb1dc97681b4a518f62ea892',1,'arm_compute::test::validation']]],
['clnormalizationlayerfixture',['CLNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#af4f1c6ad288931f07f614316f57ed63b',1,'arm_compute::test::benchmark::CLNormalizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a63b510b6111d8c5cc66a49d0ea847645',1,'arm_compute::test::validation::CLNormalizationLayerFixture()']]],
@@ -196,7 +209,9 @@
['clprelulayerfixture',['CLPReluLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56bfa4e9f3a9842e11e9cbb4825f6786',1,'arm_compute::test::validation']]],
['clprelulayerquantizedfixture',['CLPReluLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6ba2767e0315bf55a585eeb0f61ac496',1,'arm_compute::test::validation']]],
['clpriorboxlayerfixture',['CLPriorBoxLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a81ff254724c5bf7068fa0cc849a4e17c',1,'arm_compute::test::validation']]],
- ['clquantizationlayerfixture',['CLQuantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac461a441f4499be7e2a387fe2498f68a',1,'arm_compute::test::benchmark::CLQuantizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe17242ac54a18f05073a7c6931377b7',1,'arm_compute::test::validation::CLQuantizationLayerFixture()']]],
+ ['clquantizationlayerfixture',['CLQuantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac461a441f4499be7e2a387fe2498f68a',1,'arm_compute::test::benchmark']]],
+ ['clquantizationlayerqasymm16fixture',['CLQuantizationLayerQASYMM16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aeba521e008b61bef3189c5c430d47713',1,'arm_compute::test::validation']]],
+ ['clquantizationlayerqasymm8fixture',['CLQuantizationLayerQASYMM8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a09e03e4aa547aff3f337a735d097c30b',1,'arm_compute::test::validation']]],
['clrangefixture',['CLRangeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a093d44ee693551080f98f1021e823405',1,'arm_compute::test::validation']]],
['clreducemeanfixture',['CLReduceMeanFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a25622ae4316bb767071e74f2c3424fcb',1,'arm_compute::test::validation']]],
['clreductionoperationfixture',['CLReductionOperationFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ad6319a33abd7333640c9112c520814',1,'arm_compute::test::validation']]],
@@ -224,6 +239,7 @@
['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()']]],
['clsobel5x5fixture',['CLSobel5x5Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af3b82ae54bdea72e18025e4e448a31c7',1,'arm_compute::test::validation']]],
['clsobel7x7fixture',['CLSobel7x7Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a25902bc2096d0a6c6cd2fe7a7472e042',1,'arm_compute::test::validation']]],
+ ['clsoftmaxlayer',['CLSoftmaxLayer',['../namespacearm__compute.xhtml#a30ce3b40394b4f2d1e4cc31db7183425',1,'arm_compute']]],
['clsoftmaxlayerfixture',['CLSoftmaxLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab532906bae5b47b20f74c2fd5f2ef147',1,'arm_compute::test::benchmark::CLSoftmaxLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a83163dd1af81a83de6d951b1f3f86f8a',1,'arm_compute::test::validation::CLSoftmaxLayerFixture()']]],
['clsoftmaxlayerquantizedfixture',['CLSoftmaxLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9c8bb6887ae1f3c848e04ec4c71324ff',1,'arm_compute::test::validation']]],
['clspacetobatchlayerfixture',['CLSpaceToBatchLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a06a0db6fb959881302517937590f66b2',1,'arm_compute::test::validation']]],
diff --git a/documentation/search/typedefs_7.js b/documentation/search/typedefs_7.js
index f725499..b97566a 100644
--- a/documentation/search/typedefs_7.js
+++ b/documentation/search/typedefs_7.js
@@ -16,11 +16,11 @@
['gcdirectconvolutionlayerfixture',['GCDirectConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0490512e86bfa9964163cecfaffcbadb',1,'arm_compute::test::benchmark::GCDirectConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e8deadc4ef208b6e4e86a61697ed6c3',1,'arm_compute::test::validation::GCDirectConvolutionLayerFixture()']]],
['gcdirectconvolutionlayertensorshiftfixture',['GCDirectConvolutionLayerTensorShiftFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a637f690a746f7914a387dec34319589d',1,'arm_compute::test::validation']]],
['gcdropoutlayerfixture',['GCDropoutLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c2f7b5216c2624e314047c6d6eeefe0',1,'arm_compute::test::validation']]],
+ ['gcdynamictensortype3singlefunction',['GCDynamicTensorType3SingleFunction',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4d55f30676dc9e072cf0300341448438',1,'arm_compute::test::validation']]],
['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()']]],
['gcgemmfixture',['GCGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6991a2c9303e8c258547b6be1b30ae5d',1,'arm_compute::test::benchmark::GCGEMMFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3da60eb836a3383cbed0248fb6d580fa',1,'arm_compute::test::validation::GCGEMMFixture()']]],
['gcglobalpoolinglayerfixture',['GCGlobalPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#acb53c0cbb941818c096cc9ba6cd6dfe5',1,'arm_compute::test::validation']]],
['gcimage',['GCImage',['../namespacearm__compute.xhtml#a0b1d72d612fb6f33393ea6cd6cbcf523',1,'arm_compute']]],
- ['gcmemorygroup',['GCMemoryGroup',['../namespacearm__compute.xhtml#abb079bea3cd2a65a7018eab99392747e',1,'arm_compute']]],
['gcnormalizationlayerfixture',['GCNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1fefec9092294491e98390796f4adb12',1,'arm_compute::test::validation']]],
['gcnormalizeplanaryuvlayerfixture',['GCNormalizePlanarYUVLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#afeec4159597b7640d5db43dc8df56a0a',1,'arm_compute::test::benchmark::GCNormalizePlanarYUVLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab57dbe2bee45ae4b289ebe053ffea3ac',1,'arm_compute::test::validation::GCNormalizePlanarYUVLayerFixture()']]],
['gcpoolinglayerfixture',['GCPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1221a94382ab38693543c527d6cf6827',1,'arm_compute::test::benchmark::GCPoolingLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a799294d02d1056cef49ed38410bc48a9',1,'arm_compute::test::validation::GCPoolingLayerFixture()']]],
diff --git a/documentation/search/typedefs_9.js b/documentation/search/typedefs_9.js
index ce50eda..bd7adf5 100644
--- a/documentation/search/typedefs_9.js
+++ b/documentation/search/typedefs_9.js
@@ -27,6 +27,7 @@
['inekernel',['INEKernel',['../namespacearm__compute.xhtml#a9f3ed96e009111cfbe53d3f77c712390',1,'arm_compute']]],
['inelkinternalkeypointarray',['INELKInternalKeypointArray',['../namespacearm__compute.xhtml#a19699533eb1b662e46a10715f6086487',1,'arm_compute']]],
['inesimplekernel',['INESimpleKernel',['../namespacearm__compute.xhtml#a4aad0c49ce3d7cf4693830398f190250',1,'arm_compute']]],
+ ['info_5ftype',['info_type',['../classarm__compute_1_1_blob_lifetime_manager.xhtml#a1ad8c3e2d13c488fc60f736d90cf25e0',1,'arm_compute::BlobLifetimeManager::info_type()'],['../classarm__compute_1_1_offset_lifetime_manager.xhtml#aac15baae40b44f0751db4ca0d1e1ac55',1,'arm_compute::OffsetLifetimeManager::info_type()']]],
['instrumentsdescription',['InstrumentsDescription',['../namespacearm__compute_1_1test_1_1framework.xhtml#a2a9beba9ddfcbb1d1d7f695c9d86296e',1,'arm_compute::test::framework']]],
['int16array',['Int16Array',['../namespacearm__compute.xhtml#a69c19b38cbee8fa6680513f6ff76bbb3',1,'arm_compute']]],
['int32array',['Int32Array',['../namespacearm__compute.xhtml#a6af9862834629c287a81b16837b51e44',1,'arm_compute']]],
diff --git a/documentation/search/typedefs_b.js b/documentation/search/typedefs_b.js
index 746a1f4..31a9c6a 100644
--- a/documentation/search/typedefs_b.js
+++ b/documentation/search/typedefs_b.js
@@ -1,5 +1,6 @@
var searchData=
[
['labelbbox',['LabelBBox',['../namespacearm__compute.xhtml#ae6550ea34c33d2e943476386d6ba8bed',1,'arm_compute']]],
- ['lkinternalkeypointarray',['LKInternalKeypointArray',['../namespacearm__compute.xhtml#a681c120e2188371794ec3a59768c64ab',1,'arm_compute']]]
+ ['lkinternalkeypointarray',['LKInternalKeypointArray',['../namespacearm__compute.xhtml#a681c120e2188371794ec3a59768c64ab',1,'arm_compute']]],
+ ['lock_5fguard',['lock_guard',['../namespacearm__compute.xhtml#a18809773edf57d061fc2826abf0dab5e',1,'arm_compute']]]
];
diff --git a/documentation/search/typedefs_c.js b/documentation/search/typedefs_c.js
index 53869d2..1d1c697 100644
--- a/documentation/search/typedefs_c.js
+++ b/documentation/search/typedefs_c.js
@@ -3,7 +3,6 @@
['make_5fsigned_5fconditional_5ft',['make_signed_conditional_t',['../namespacearm__compute_1_1test_1_1traits.xhtml#a5351f49d449d49f82e2bf942b7a13da6',1,'arm_compute::test::traits']]],
['make_5funsigned_5fconditional_5ft',['make_unsigned_conditional_t',['../namespacearm__compute_1_1test_1_1traits.xhtml#af423fd0ba931db9db07bd355e77a2164',1,'arm_compute::test::traits']]],
['measurementsmap',['MeasurementsMap',['../classarm__compute_1_1test_1_1framework_1_1_instrument.xhtml#afc7df496e6026b91c3f48da6821c86a9',1,'arm_compute::test::framework::Instrument::MeasurementsMap()'],['../classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a06c89e23a39ce6f2e8e8a1de5bb7002a',1,'arm_compute::test::framework::Profiler::MeasurementsMap()']]],
- ['memorygroup',['MemoryGroup',['../namespacearm__compute.xhtml#a0e7a03e2e133cb1fbb12517a3f646a09',1,'arm_compute']]],
['memorymappings',['MemoryMappings',['../namespacearm__compute.xhtml#a43b7da220a8ead83acff98f218f7eb6b',1,'arm_compute']]],
['multiples',['Multiples',['../namespacearm__compute.xhtml#afe9e10e5fdfd1e2665ac17c75c0cacd8',1,'arm_compute']]],
['mutex',['Mutex',['../namespacearm__compute.xhtml#acded863dbfdd730829d4188d67eefcf0',1,'arm_compute']]]
diff --git a/documentation/search/typedefs_d.js b/documentation/search/typedefs_d.js
index f42920f..d1521c4 100644
--- a/documentation/search/typedefs_d.js
+++ b/documentation/search/typedefs_d.js
@@ -19,6 +19,7 @@
['nebitwisenotfixture',['NEBitwiseNotFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a33813e8f903c3d533681b70642607b5a',1,'arm_compute::test::validation']]],
['nebitwiseorfixture',['NEBitwiseOrFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a71801e7a1ec88621faca5d5881b531c8',1,'arm_compute::test::validation']]],
['nebitwisexorfixture',['NEBitwiseXorFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a283b130d0833bde305c22235c056d0a5',1,'arm_compute::test::validation']]],
+ ['neboundingboxtransformfixture',['NEBoundingBoxTransformFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aed55bd4da15b74176bcee24fc933db20',1,'arm_compute::test::validation']]],
['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()']]],
@@ -34,6 +35,7 @@
['nechannelshufflelayerfixture',['NEChannelShuffleLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aae3332dae1ba339c51fcf669bb641786',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()']]],
['necomparisonfixture',['NEComparisonFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa71262a9ebd3a16714744c25f9cb7dfb',1,'arm_compute::test::validation']]],
+ ['necomputeallanchorsfixture',['NEComputeAllAnchorsFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a65d4d50f98cd8beafd54a377399a025a',1,'arm_compute::test::validation']]],
['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']]],
@@ -45,6 +47,7 @@
['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']]],
['necropresizefixture',['NECropResizeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aaea8e95ff3943b3e9a1139a2bee38ab0',1,'arm_compute::test::validation']]],
+ ['nedeconvolutionlayerasymmfixture3x3',['NEDeconvolutionLayerAsymmFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d49b10816d4d46bd280619cba6b519d',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']]],
@@ -67,11 +70,14 @@
['nedepthwiseconvolutionlayernative',['NEDepthwiseConvolutionLayerNative',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ff2ed03e878a20f7646ce886e890b07',1,'arm_compute::test::validation']]],
['nedepthwiseconvolutionlayernativefixture',['NEDepthwiseConvolutionLayerNativeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a21e5080dc0458025e9c643c2e520b149',1,'arm_compute::test::validation']]],
['nedepthwiseconvolutionlayerquantizedfixture',['NEDepthwiseConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af87b20687c8018b2e629fc3b7f5324fd',1,'arm_compute::test::validation']]],
- ['nedepthwiseseparableconvolutionlayerfixture',['NEDepthwiseSeparableConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6ea54bd0cfdb4290c1528e7806774fc',1,'arm_compute::test::validation']]],
+ ['nedepthwiseconvolutionlayerquantizedsymmetricperchannelfixture',['NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ee31694413d517bac1c0ae3ca81add5',1,'arm_compute::test::validation']]],
['nedequantizationlayerfixture',['NEDequantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a36e01dc303acf3f56252f71c850ee1e1',1,'arm_compute::test::benchmark::NEDequantizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0e4e4f183ba5d27e36349e99ddfb5561',1,'arm_compute::test::validation::NEDequantizationLayerFixture()']]],
['nederivativefixture',['NEDerivativeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a96e120f5a75a3dc33a232afa64a69aef',1,'arm_compute::test::validation']]],
['nedilatefixture',['NEDilateFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6e74dc06dfe494d48cfdca066b4cf4b6',1,'arm_compute::test::validation']]],
['nedirectconvolutionlayerfixture',['NEDirectConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a116453711046ea5a00c6124e5609d593',1,'arm_compute::test::benchmark::NEDirectConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9969002af02172f58bcbc59fcb319c1',1,'arm_compute::test::validation::NEDirectConvolutionLayerFixture()']]],
+ ['nedynamictensortype2pipelinefunction',['NEDynamicTensorType2PipelineFunction',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac3995fb76d23f8d3c321d039c87d1a68',1,'arm_compute::test::validation']]],
+ ['nedynamictensortype3complexfunction',['NEDynamicTensorType3ComplexFunction',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0d66138dd4e1ac84bacaa77c65b0e11',1,'arm_compute::test::validation']]],
+ ['nedynamictensortype3singlefunction',['NEDynamicTensorType3SingleFunction',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6b73121ca2b3725719395533e6ec8ce2',1,'arm_compute::test::validation']]],
['neelementwisedivisionbroadcastfixture',['NEElementwiseDivisionBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a521d8ce368f3d6f7dfd2b3a8691bdde7',1,'arm_compute::test::validation']]],
['neelementwisedivisionfixture',['NEElementwiseDivisionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af870e2bc2cca46d65575d398b3345dc8',1,'arm_compute::test::validation']]],
['neelementwisemaxbroadcastfixture',['NEElementwiseMaxBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f33c1788f556dbd34036cf3b55ef28b',1,'arm_compute::test::validation']]],
@@ -108,6 +114,7 @@
['negemmassemblyfixture_5fs8',['NEGEMMAssemblyFixture_S8',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a3ba835cab60c32a83400ab9b6dd3d5',1,'arm_compute::test::validation']]],
['negemmassemblyfixture_5fu8',['NEGEMMAssemblyFixture_U8',['../namespacearm__compute_1_1test_1_1validation.xhtml#a81a5e6a019eb49bf186adbae0baa7325',1,'arm_compute::test::validation']]],
['negemmconvolutionlayerfixture',['NEGEMMConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a0e36e58a8ee401995f556ef9d4a5ce80',1,'arm_compute::test::benchmark::NEGEMMConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d7f0321e91f8b48ec2b198ccf4149a8',1,'arm_compute::test::validation::NEGEMMConvolutionLayerFixture()']]],
+ ['negemmconvolutionlayerquantizedperchannelfixture',['NEGEMMConvolutionLayerQuantizedPerChannelFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7aca346e4f1e54771f2cab168fdbc9a',1,'arm_compute::test::validation']]],
['negemmdilatedconvolutionlayerfixture',['NEGEMMDilatedConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1a722e55d9c28cf9790e76e2d9e475dc',1,'arm_compute::test::validation']]],
['negemmfixture',['NEGEMMFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a789c444c1307e85eec5f8b0d75fd5f7d',1,'arm_compute::test::benchmark']]],
['negemmfixturedisabledc',['NEGEMMFixtureDisabledC',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac61383461f64e2e5873b92f74b8adfee',1,'arm_compute::test::validation']]],
@@ -131,6 +138,7 @@
['nehogdetectorfixture',['NEHOGDetectorFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aeeed95e48d49ee75afc8735c33c23c0f',1,'arm_compute::test::benchmark::NEHOGDetectorFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acdf2e960d2b51a70729d636b97046d4e',1,'arm_compute::test::validation::NEHOGDetectorFixture()']]],
['nehogmultidetectionfixture',['NEHOGMultiDetectionFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8183e97c93d88c78159cae2d8f83a4b0',1,'arm_compute::test::benchmark::NEHOGMultiDetectionFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adc4aedd79502a204a731b865a0c0d88f',1,'arm_compute::test::validation::NEHOGMultiDetectionFixture()']]],
['neim2colfixture',['NEIm2ColFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a98e842c5ec1ebd662aac57677eb97913',1,'arm_compute::test::validation']]],
+ ['neinstancenormalizationlayerfixture',['NEInstanceNormalizationLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a643826df05321e32926dd7810099c1d5',1,'arm_compute::test::validation']]],
['neintegralimagefixture',['NEIntegralImageFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8be73a5c454d82d3ae86aba881694a7d',1,'arm_compute::test::benchmark::NEIntegralImageFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2e851719fcfcc79afca41a602ab692fe',1,'arm_compute::test::validation::NEIntegralImageFixture()']]],
['nel2normalizelayerfixture',['NEL2NormalizeLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a9322f578852dc5883cd3b5b32729ee06',1,'arm_compute::test::benchmark::NEL2NormalizeLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a80d4f9b7949be4cf05c58ec5054f8e57',1,'arm_compute::test::validation::NEL2NormalizeLayerFixture()']]],
['nelaplacianpyramidfixture',['NELaplacianPyramidFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa6907ba9ff5cd0b4fb180075441de63e',1,'arm_compute::test::benchmark::NELaplacianPyramidFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f04bf44f9673960180954e26f64397a',1,'arm_compute::test::validation::NELaplacianPyramidFixture()']]],
@@ -140,6 +148,8 @@
['nelocallyconnectedfixture',['NELocallyConnectedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a76f1fc28d86f355264e2ba0bcbad1168',1,'arm_compute::test::validation']]],
['nelocallyconnectedlayerfixture',['NELocallyConnectedLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a1edd9a58741095f0c97dc193c53c8b6f',1,'arm_compute::test::benchmark']]],
['neloglayerfixture',['NELogLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad27517def882e4553de67162f4840104',1,'arm_compute::test::validation']]],
+ ['nelogsoftmaxlayer',['NELogSoftmaxLayer',['../namespacearm__compute.xhtml#a4478c830368ed024dc47a2bf48978616',1,'arm_compute']]],
+ ['nelogsoftmaxlayerfixture',['NELogSoftmaxLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a94fce095bc74eb3abe91744ad702f014',1,'arm_compute::test::validation']]],
['nelstmlayerfixture',['NELSTMLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2f5c71c0eb504e2498e1358721dc1e17',1,'arm_compute::test::validation']]],
['nemagnitudefixture',['NEMagnitudeFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aafc650cbc7b7709dac8e12b5381cd773',1,'arm_compute::test::benchmark::NEMagnitudeFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ed28dd356e85eef81a7d7128b8e7390',1,'arm_compute::test::validation::NEMagnitudeFixture()']]],
['nemeanstddevfixture',['NEMeanStdDevFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a976048cf7b4c07e749a0a8f3e4ba2aa3',1,'arm_compute::test::benchmark::NEMeanStdDevFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2c8d43eca83b3086befef435b42e6d2',1,'arm_compute::test::validation::NEMeanStdDevFixture()']]],
@@ -156,7 +166,7 @@
['neon_5fvector_5ft',['neon_vector_t',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#a20782de3fa029b3c94a67c493f7cb6b9',1,'arm_compute::wrapper::traits']]],
['neon_5fvector_5ftag_5ft',['neon_vector_tag_t',['../namespacearm__compute_1_1wrapper_1_1traits.xhtml#a793232f2606e7e2737fc313777ad3498',1,'arm_compute::wrapper::traits']]],
['neopticalflowfixture',['NEOpticalFlowFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adf06636c5092471ed65180c8e063ce7d',1,'arm_compute::test::benchmark::NEOpticalFlowFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a875d8b96ac0977c055971bbd04765aeb',1,'arm_compute::test::validation::NEOpticalFlowFixture()']]],
- ['nepaddingfixture',['NEPaddingFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8742eecef9bb6c44aba3af838e31d99b',1,'arm_compute::test::validation']]],
+ ['nepaddingfixture',['NEPaddingFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a8742eecef9bb6c44aba3af838e31d99b',1,'arm_compute::test::benchmark::NEPaddingFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8742eecef9bb6c44aba3af838e31d99b',1,'arm_compute::test::validation::NEPaddingFixture()']]],
['nepermutefixture',['NEPermuteFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2a5527aa9271a188c66dede8c1faac56',1,'arm_compute::test::validation']]],
['nephasefixture',['NEPhaseFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aab8748dede519784acf3fdffc3457289',1,'arm_compute::test::benchmark::NEPhaseFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#affe8778d9540d96b952418d81a3ac3c0',1,'arm_compute::test::validation::NEPhaseFixture()']]],
['nepixelwisemultiplicationbroadcastfixture',['NEPixelWiseMultiplicationBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa670d48d66ab33363db0a492e2453e81',1,'arm_compute::test::validation']]],
@@ -171,7 +181,9 @@
['neprelulayerfixture',['NEPReluLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae163a7e7b0b21af48d9a650a4bbc7549',1,'arm_compute::test::validation']]],
['neprelulayerquantizedfixture',['NEPReluLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af309f0ec702aeec113f8936dbc6e56d6',1,'arm_compute::test::validation']]],
['nepriorboxlayerfixture',['NEPriorBoxLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a72c18179ffa27af164173e1cf01b96b2',1,'arm_compute::test::validation']]],
- ['nequantizationlayerfixture',['NEQuantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac05c293f1f07b99a64a126f02099fb56',1,'arm_compute::test::benchmark::NEQuantizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a81844f55bae5485c82da5b2206122651',1,'arm_compute::test::validation::NEQuantizationLayerFixture()']]],
+ ['nequantizationlayerfixture',['NEQuantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac05c293f1f07b99a64a126f02099fb56',1,'arm_compute::test::benchmark']]],
+ ['nequantizationlayerqasymm16fixture',['NEQuantizationLayerQASYMM16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4690362ab0c638d2f5998adbe8cdb0c7',1,'arm_compute::test::validation']]],
+ ['nequantizationlayerqasymm8fixture',['NEQuantizationLayerQASYMM8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#adf4807434732490f42e8c236d4bba06d',1,'arm_compute::test::validation']]],
['nerangefixture',['NERangeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af508389e203acf57bbe5f3703e71e6c2',1,'arm_compute::test::validation']]],
['nereducemeanfixture',['NEReduceMeanFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afe85164819f8e1e56c910bbb0ed189da',1,'arm_compute::test::validation']]],
['nereductionoperationfixture',['NEReductionOperationFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a50ee121819406fc67c0a4209e9cb3917',1,'arm_compute::test::validation']]],
@@ -180,6 +192,7 @@
['nereshapelayerfixture',['NEReshapeLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a6d668f30eacaef80d82bee8ee53247d6',1,'arm_compute::test::benchmark::NEReshapeLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c9abced5979b89a9b7940e5ba20fc1f',1,'arm_compute::test::validation::NEReshapeLayerFixture()']]],
['nereversefixture',['NEReverseFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a25238fb5ce3406ce401fc16e8cbbe78b',1,'arm_compute::test::validation']]],
['nernnlayerfixture',['NERNNLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ade71b50538d7ac13395269d63b88563f',1,'arm_compute::test::validation']]],
+ ['neroialignlayerfixture',['NEROIAlignLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#abe284c19badfd9a24f528f8478140ded',1,'arm_compute::test::validation']]],
['neroipoolinglayerfixture',['NEROIPoolingLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a73ebac00870a7c026f5ce3f96a30debc',1,'arm_compute::test::benchmark']]],
['neroundlayerfixture',['NERoundLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a57d9e804dced6508a6ec937cf6d9d64f',1,'arm_compute::test::validation']]],
['nersqrtlayerfixture',['NERsqrtLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a523fcd26d15e55fca5ae150c031f2e35',1,'arm_compute::test::validation']]],
@@ -199,6 +212,7 @@
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