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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#a9f63ffde26ef561824136f3ed5ce5626',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, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), 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), 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, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 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(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 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), 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, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ax", { 0U, 0U, 0U, 0U, 0U, })), framework::dataset::make("ay", { 0U, 0U, 0U, 0U, 1U, 0U, })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#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#ae19ae5ebfc0561f46de271fc37f13c77',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::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("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, 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(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(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), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 3, })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af535cbe0bc5bbe1318f4719bacdd4fd2',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, 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, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("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, 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(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(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, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 3, })), framework::dataset::make("Expected", { false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a298d57f0fde19b5f0952a70be306e134',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::U8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), 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("MinMax",{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), })), framework::dataset::make("Expected", { false, false, false, false, false, true})), input_info, output_info, min_max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1d12512b7fe4d897c48b9963cc192515',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make("DataType", DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#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#a2b5e91ed93508f02f0d84f8647d70545',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, 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framework::dataset::make("Expected", { false, false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a74612ce9f8b898bc171800b13fb3e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_pyramid_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74496771d90a70769feaa5739daf9622',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_reconstruct_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a876889712d97367ca5ed4b922705fc6e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, 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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#a15221160dbe648335c35231c529f65d7',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, 13U), 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, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a757766423c4a26da3e4422e496617b8a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S16, DataType::S32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab437980729c1a4aca8155d3bf96f40d1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U), 1, DataType::U8), }), framework::dataset::make("Expected", { false, false, true })), input_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a327ea02cf18e7b8abed280f64b6e6d07',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", { DataType::U8 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d285112d4d773d616f899d4575d8abf',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make("MaskSize", { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac0e8c51ac5cf2b2f0cf69b64db39e81b',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, 5), })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3cae9fc421a796d441b8bca1d0cc074',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make("DataType", { DataType::F16 })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a478a9010906dfa0ee3f1028135c96777',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::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("MSTDInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a276598901fe9b24094975116ac66d5e2',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(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}} })), framework::dataset::make("Expected", { false, false, true, true, true, true })), input_info, output_info, padding, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9830b21da051c2c7724923c6729e5fd9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo",{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::S16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(3U, 5U, 7U, 7U), 1, DataType::S16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32) })), framework::dataset::make("PermutationVector", { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(0U, 0U, 0U, 1000U) })), framework::dataset::make("Expected", { true, false, false, false, true, true, false, true, false, true, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10cbef7a4d5b95ee888e5371244056ae',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make("DataType", { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, 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DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false})), weights_info, mvbg_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a14bcbfe5c0034af367cd66e4880f7e07',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make("Format", Format::U8)), shape, gradient_size, normalization, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab4f1e8c8d3eef49fdc3b0afd81c15ba0',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 })), shape, 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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), 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::S16), 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::U8), 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("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, 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#ab9e741db901f2d726ab636eeb1439437',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, 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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), })), 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::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 3, 1, 1, 1, 1, 1, })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a73f99bf66a67a857145c0797dba93c50',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, 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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, 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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#a94eefbc94d13bbab00525b3b14e66971',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::F32), 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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, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ 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(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, true, true, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e4fa6ebedae23e8cd42c68038a489a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), }), 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), 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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, 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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#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#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, 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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#a6d1ab5d9aeab4c3c99c04cc8ff15bc77',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), 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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#ad8f6001f985e608bdb27e40da2c29a1f',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, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), 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), 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, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 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(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 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), 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, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ax", { 0U, 0U, 0U, 0U, 0U, })), framework::dataset::make("ay", { 0U, 0U, 0U, 0U, 1U, 0U, })), framework::dataset::make("Expected", { false, false, false, false, true, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, 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#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#a2b5e91ed93508f02f0d84f8647d70545',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(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make("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), 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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, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a757766423c4a26da3e4422e496617b8a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S16, DataType::S32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab437980729c1a4aca8155d3bf96f40d1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, 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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#ae3b2d5fd8f3b2e1f7b4cbafebb25e312',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, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a11999ccf435b3a6fb0f2d378439184c4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), data_types), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4393002100019a1d2fe5a825aaf2a966',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, 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#a94eefbc94d13bbab00525b3b14e66971',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::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, true, true, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af459dd90146584546f740bbb6975d125',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#a414d3a4c353831843e82d283efbae250',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#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, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ 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(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, true, true, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e4fa6ebedae23e8cd42c68038a489a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), }), 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", { 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diff --git a/documentation/search/all_f.js b/documentation/search/all_f.js
index 22f62cb..b366ca2 100644
--- a/documentation/search/all_f.js
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index 6f142be..dea4447 100644
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['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']]],
['cledgetracekernel',['CLEdgeTraceKernel',['../classarm__compute_1_1_c_l_edge_trace_kernel.xhtml',1,'arm_compute']]],
@@ -114,6 +120,12 @@
['clexplayer',['CLExpLayer',['../classarm__compute_1_1_c_l_exp_layer.xhtml',1,'arm_compute']]],
['clfastcorners',['CLFastCorners',['../classarm__compute_1_1_c_l_fast_corners.xhtml',1,'arm_compute']]],
['clfastcornerskernel',['CLFastCornersKernel',['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml',1,'arm_compute']]],
+ ['clfft1d',['CLFFT1D',['../classarm__compute_1_1_c_l_f_f_t1_d.xhtml',1,'arm_compute']]],
+ ['clfft2d',['CLFFT2D',['../classarm__compute_1_1_c_l_f_f_t2_d.xhtml',1,'arm_compute']]],
+ ['clfftconvolutionlayer',['CLFFTConvolutionLayer',['../classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml',1,'arm_compute']]],
+ ['clfftdigitreversekernel',['CLFFTDigitReverseKernel',['../classarm__compute_1_1_c_l_f_f_t_digit_reverse_kernel.xhtml',1,'arm_compute']]],
+ ['clfftradixstagekernel',['CLFFTRadixStageKernel',['../classarm__compute_1_1_c_l_f_f_t_radix_stage_kernel.xhtml',1,'arm_compute']]],
+ ['clfftscalekernel',['CLFFTScaleKernel',['../classarm__compute_1_1_c_l_f_f_t_scale_kernel.xhtml',1,'arm_compute']]],
['clfillborder',['CLFillBorder',['../classarm__compute_1_1_c_l_fill_border.xhtml',1,'arm_compute']]],
['clfillborderkernel',['CLFillBorderKernel',['../classarm__compute_1_1_c_l_fill_border_kernel.xhtml',1,'arm_compute']]],
['clfinesvmmemoryregion',['CLFineSVMMemoryRegion',['../classarm__compute_1_1_c_l_fine_s_v_m_memory_region.xhtml',1,'arm_compute']]],
@@ -140,6 +152,7 @@
['clgaussianpyramidvertkernel',['CLGaussianPyramidVertKernel',['../classarm__compute_1_1_c_l_gaussian_pyramid_vert_kernel.xhtml',1,'arm_compute']]],
['clgemm',['CLGEMM',['../classarm__compute_1_1_c_l_g_e_m_m.xhtml',1,'arm_compute']]],
['clgemmconvolutionlayer',['CLGEMMConvolutionLayer',['../classarm__compute_1_1_c_l_g_e_m_m_convolution_layer.xhtml',1,'arm_compute']]],
+ ['clgemmdeconvolutionlayer',['CLGEMMDeconvolutionLayer',['../classarm__compute_1_1_c_l_g_e_m_m_deconvolution_layer.xhtml',1,'arm_compute']]],
['clgemminterleave4x4',['CLGEMMInterleave4x4',['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4.xhtml',1,'arm_compute']]],
['clgemminterleave4x4kernel',['CLGEMMInterleave4x4Kernel',['../classarm__compute_1_1_c_l_g_e_m_m_interleave4x4_kernel.xhtml',1,'arm_compute']]],
['clgemmlowpmatrixareductionkernel',['CLGEMMLowpMatrixAReductionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml',1,'arm_compute']]],
@@ -147,6 +160,7 @@
['clgemmlowpmatrixmultiplycore',['CLGEMMLowpMatrixMultiplyCore',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml',1,'arm_compute']]],
['clgemmlowpmatrixmultiplykernel',['CLGEMMLowpMatrixMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml',1,'arm_compute']]],
['clgemmlowpmatrixmultiplyreshapedkernel',['CLGEMMLowpMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel.xhtml',1,'arm_compute']]],
+ ['clgemmlowpmatrixmultiplyreshapedonlyrhskernel',['CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml',1,'arm_compute']]],
['clgemmlowpoffsetcontributionkernel',['CLGEMMLowpOffsetContributionKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml',1,'arm_compute']]],
['clgemmlowpoffsetcontributionoutputstagekernel',['CLGEMMLowpOffsetContributionOutputStageKernel',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml',1,'arm_compute']]],
['clgemmlowpquantizedownint32touint8scale',['CLGEMMLowpQuantizeDownInt32ToUint8Scale',['../classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml',1,'arm_compute']]],
@@ -159,9 +173,12 @@
['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']]],
['clgemmmatrixmultiplyreshapedkernel',['CLGEMMMatrixMultiplyReshapedKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml',1,'arm_compute']]],
+ ['clgemmmatrixmultiplyreshapedonlyrhskernel',['CLGEMMMatrixMultiplyReshapedOnlyRHSKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml',1,'arm_compute']]],
['clgemmmatrixvectormultiplykernel',['CLGEMMMatrixVectorMultiplyKernel',['../classarm__compute_1_1_c_l_g_e_m_m_matrix_vector_multiply_kernel.xhtml',1,'arm_compute']]],
- ['clgemmreshapedconfigurationbifrost',['CLGEMMReshapedConfigurationBifrost',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_bifrost.xhtml',1,'arm_compute::cl_gemm']]],
- ['clgemmreshapedconfigurationfactory',['CLGEMMReshapedConfigurationFactory',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_configuration_factory.xhtml',1,'arm_compute::cl_gemm']]],
+ ['clgemmreshapedkernelconfigurationbifrost',['CLGEMMReshapedKernelConfigurationBifrost',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_kernel_configuration_bifrost.xhtml',1,'arm_compute::cl_gemm']]],
+ ['clgemmreshapedkernelconfigurationfactory',['CLGEMMReshapedKernelConfigurationFactory',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_kernel_configuration_factory.xhtml',1,'arm_compute::cl_gemm']]],
+ ['clgemmreshapedonlyrhskernelconfigurationbifrost',['CLGEMMReshapedOnlyRHSKernelConfigurationBifrost',['../classarm__compute_1_1cl__gemm_1_1_c_l_g_e_m_m_reshaped_only_r_h_s_kernel_configuration_bifrost.xhtml',1,'arm_compute::cl_gemm']]],
+ ['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']]],
['clgemmtranspose1xw',['CLGEMMTranspose1xW',['../classarm__compute_1_1_c_l_g_e_m_m_transpose1x_w.xhtml',1,'arm_compute']]],
@@ -170,6 +187,7 @@
['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']]],
['clharrisscorekernel',['CLHarrisScoreKernel',['../classarm__compute_1_1_c_l_harris_score_kernel.xhtml',1,'arm_compute']]],
+ ['clheightconcatenatelayerkernel',['CLHeightConcatenateLayerKernel',['../classarm__compute_1_1_c_l_height_concatenate_layer_kernel.xhtml',1,'arm_compute']]],
['clhistogram',['CLHistogram',['../classarm__compute_1_1_c_l_histogram.xhtml',1,'arm_compute']]],
['clhistogramborderkernel',['CLHistogramBorderKernel',['../classarm__compute_1_1_c_l_histogram_border_kernel.xhtml',1,'arm_compute']]],
['clhistogramkernel',['CLHistogramKernel',['../classarm__compute_1_1_c_l_histogram_kernel.xhtml',1,'arm_compute']]],
@@ -206,6 +224,11 @@
['cllut',['CLLut',['../classarm__compute_1_1_c_l_lut.xhtml',1,'arm_compute']]],
['cllutaccessor',['CLLutAccessor',['../classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml',1,'arm_compute::test']]],
['cllutallocator',['CLLutAllocator',['../classarm__compute_1_1_c_l_lut_allocator.xhtml',1,'arm_compute']]],
+ ['cllwslist',['CLLWSList',['../classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list.xhtml',1,'arm_compute::cl_tuner']]],
+ ['cllwslistexhaustive',['CLLWSListExhaustive',['../classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_exhaustive.xhtml',1,'arm_compute::cl_tuner']]],
+ ['cllwslistfactory',['CLLWSListFactory',['../classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_factory.xhtml',1,'arm_compute::cl_tuner']]],
+ ['cllwslistnormal',['CLLWSListNormal',['../classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_normal.xhtml',1,'arm_compute::cl_tuner']]],
+ ['cllwslistrapid',['CLLWSListRapid',['../classarm__compute_1_1cl__tuner_1_1_c_l_l_w_s_list_rapid.xhtml',1,'arm_compute::cl_tuner']]],
['clmagnitude',['CLMagnitude',['../classarm__compute_1_1_c_l_magnitude.xhtml',1,'arm_compute']]],
['clmagnitudephasekernel',['CLMagnitudePhaseKernel',['../classarm__compute_1_1_c_l_magnitude_phase_kernel.xhtml',1,'arm_compute']]],
['clmeanstddev',['CLMeanStdDev',['../classarm__compute_1_1_c_l_mean_std_dev.xhtml',1,'arm_compute']]],
@@ -343,6 +366,7 @@
['computeanchorsinfo',['ComputeAnchorsInfo',['../classarm__compute_1_1_compute_anchors_info.xhtml',1,'arm_compute']]],
['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']]],
['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']]],
['convolutionlayer',['ConvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_convolution_layer.xhtml',1,'arm_compute::graph::frontend']]],
diff --git a/documentation/search/classes_6.js b/documentation/search/classes_6.js
index 07529c8..e2d2ca1 100644
--- a/documentation/search/classes_6.js
+++ b/documentation/search/classes_6.js
@@ -1,5 +1,10 @@
var searchData=
[
+ ['fft1dinfo',['FFT1DInfo',['../structarm__compute_1_1_f_f_t1_d_info.xhtml',1,'arm_compute']]],
+ ['fft2dinfo',['FFT2DInfo',['../structarm__compute_1_1_f_f_t2_d_info.xhtml',1,'arm_compute']]],
+ ['fftdigitreversekernelinfo',['FFTDigitReverseKernelInfo',['../structarm__compute_1_1_f_f_t_digit_reverse_kernel_info.xhtml',1,'arm_compute']]],
+ ['fftradixstagekernelinfo',['FFTRadixStageKernelInfo',['../structarm__compute_1_1_f_f_t_radix_stage_kernel_info.xhtml',1,'arm_compute']]],
+ ['fftscalekernelinfo',['FFTScaleKernelInfo',['../structarm__compute_1_1_f_f_t_scale_kernel_info.xhtml',1,'arm_compute']]],
['filehandler',['FileHandler',['../classarm__compute_1_1io_1_1_file_handler.xhtml',1,'arm_compute::io']]],
['fileimagefeeder',['FileImageFeeder',['../classarm__compute_1_1utils_1_1_file_image_feeder.xhtml',1,'arm_compute::utils']]],
['filenotfound',['FileNotFound',['../classarm__compute_1_1test_1_1framework_1_1_file_not_found.xhtml',1,'arm_compute::test::framework']]],
@@ -10,5 +15,7 @@
['framework',['Framework',['../classarm__compute_1_1test_1_1framework_1_1_framework.xhtml',1,'arm_compute::test::framework']]],
['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']]]
+ ['fullyconnectedlayernode',['FullyConnectedLayerNode',['../classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml',1,'arm_compute::graph']]],
+ ['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']]]
];
diff --git a/documentation/search/classes_7.js b/documentation/search/classes_7.js
index 2278e3e..f74b42e 100644
--- a/documentation/search/classes_7.js
+++ b/documentation/search/classes_7.js
@@ -12,6 +12,7 @@
['gcbufferallocator',['GCBufferAllocator',['../classarm__compute_1_1_g_c_buffer_allocator.xhtml',1,'arm_compute']]],
['gcbuffermemoryregion',['GCBufferMemoryRegion',['../classarm__compute_1_1_g_c_buffer_memory_region.xhtml',1,'arm_compute']]],
['gccol2imkernel',['GCCol2ImKernel',['../classarm__compute_1_1_g_c_col2_im_kernel.xhtml',1,'arm_compute']]],
+ ['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']]],
['gcdepthconcatenatelayer',['GCDepthConcatenateLayer',['../classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml',1,'arm_compute']]],
diff --git a/documentation/search/classes_9.js b/documentation/search/classes_9.js
index fd58232..edcb058 100644
--- a/documentation/search/classes_9.js
+++ b/documentation/search/classes_9.js
@@ -10,11 +10,12 @@
['iclarray',['ICLArray',['../classarm__compute_1_1_i_c_l_array.xhtml',1,'arm_compute']]],
['icldepthwiseconvolutionlayer3x3kernel',['ICLDepthwiseConvolutionLayer3x3Kernel',['../classarm__compute_1_1_i_c_l_depthwise_convolution_layer3x3_kernel.xhtml',1,'arm_compute']]],
['icldistribution1d',['ICLDistribution1D',['../classarm__compute_1_1_i_c_l_distribution1_d.xhtml',1,'arm_compute']]],
+ ['iclgemmkernelconfiguration',['ICLGEMMKernelConfiguration',['../classarm__compute_1_1_i_c_l_g_e_m_m_kernel_configuration.xhtml',1,'arm_compute']]],
['iclgemmlowpreductionkernel',['ICLGEMMLowpReductionKernel',['../classarm__compute_1_1_i_c_l_g_e_m_m_lowp_reduction_kernel.xhtml',1,'arm_compute']]],
- ['iclgemmreshapedconfiguration',['ICLGEMMReshapedConfiguration',['../classarm__compute_1_1_i_c_l_g_e_m_m_reshaped_configuration.xhtml',1,'arm_compute']]],
['iclhog',['ICLHOG',['../classarm__compute_1_1_i_c_l_h_o_g.xhtml',1,'arm_compute']]],
['iclkernel',['ICLKernel',['../classarm__compute_1_1_i_c_l_kernel.xhtml',1,'arm_compute']]],
['icllut',['ICLLut',['../classarm__compute_1_1_i_c_l_lut.xhtml',1,'arm_compute']]],
+ ['icllwslist',['ICLLWSList',['../classarm__compute_1_1cl__tuner_1_1_i_c_l_l_w_s_list.xhtml',1,'arm_compute::cl_tuner']]],
['iclmemoryregion',['ICLMemoryRegion',['../classarm__compute_1_1_i_c_l_memory_region.xhtml',1,'arm_compute']]],
['iclmultihog',['ICLMultiHOG',['../classarm__compute_1_1_i_c_l_multi_h_o_g.xhtml',1,'arm_compute']]],
['iclmultiimage',['ICLMultiImage',['../classarm__compute_1_1_i_c_l_multi_image.xhtml',1,'arm_compute']]],
@@ -82,7 +83,7 @@
['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']]],
['instrumentsstats',['InstrumentsStats',['../classarm__compute_1_1test_1_1framework_1_1_instruments_stats.xhtml',1,'arm_compute::test::framework']]],
- ['internalkeypoint',['InternalKeyPoint',['../structarm__compute_1_1_internal_key_point.xhtml',1,'InternalKeyPoint'],['../struct_internal_keypoint.xhtml',1,'InternalKeypoint']]],
+ ['internalkeypoint',['InternalKeypoint',['../struct_internal_keypoint.xhtml',1,'InternalKeypoint'],['../structarm__compute_1_1_internal_key_point.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']]],
@@ -104,5 +105,5 @@
['itensorallocator',['ITensorAllocator',['../classarm__compute_1_1_i_tensor_allocator.xhtml',1,'arm_compute']]],
['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']]],
- ['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_join_dataset_1_1iterator.xhtml',1,'JoinDataset< 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_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_container_dataset_1_1iterator.xhtml',1,'ContainerDataset< T >::iterator'],['../structarm__compute_1_1test_1_1framework_1_1dataset_1_1_initializer_list_dataset_1_1iterator.xhtml',1,'InitializerListDataset< T >::iterator'],['../classarm__compute_1_1_iterator.xhtml',1,'Iterator']]]
+ ['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_container_dataset_1_1iterator.xhtml',1,'ContainerDataset< T >::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_range_dataset_1_1iterator.xhtml',1,'RangeDataset< 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_singleton_dataset_1_1iterator.xhtml',1,'SingletonDataset< T >::iterator'],['../classarm__compute_1_1_iterator.xhtml',1,'Iterator']]]
];
diff --git a/documentation/search/classes_d.js b/documentation/search/classes_d.js
index 18946e8..3dedf88 100644
--- a/documentation/search/classes_d.js
+++ b/documentation/search/classes_d.js
@@ -8,6 +8,7 @@
['memorygroupbase_3c_20cltensor_20_3e',['MemoryGroupBase< CLTensor >',['../classarm__compute_1_1_memory_group_base.xhtml',1,'arm_compute']]],
['memorygroupbase_3c_20gctensor_20_3e',['MemoryGroupBase< GCTensor >',['../classarm__compute_1_1_memory_group_base.xhtml',1,'arm_compute']]],
['memorygroupbase_3c_20tensor_20_3e',['MemoryGroupBase< Tensor >',['../classarm__compute_1_1_memory_group_base.xhtml',1,'arm_compute']]],
+ ['memorygroupresourcescope',['MemoryGroupResourceScope',['../classarm__compute_1_1_memory_group_resource_scope.xhtml',1,'arm_compute']]],
['memoryimagefeeder',['MemoryImageFeeder',['../classarm__compute_1_1utils_1_1_memory_image_feeder.xhtml',1,'arm_compute::utils']]],
['memorymanagercontext',['MemoryManagerContext',['../structarm__compute_1_1graph_1_1_memory_manager_context.xhtml',1,'arm_compute::graph']]],
['memorymanagerondemand',['MemoryManagerOnDemand',['../classarm__compute_1_1_memory_manager_on_demand.xhtml',1,'arm_compute']]],
diff --git a/documentation/search/classes_e.js b/documentation/search/classes_e.js
index d091a9e..32ee143 100644
--- a/documentation/search/classes_e.js
+++ b/documentation/search/classes_e.js
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['nebatchnormalizationlayerkernel',['NEBatchNormalizationLayerKernel',['../classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml',1,'arm_compute']]],
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['necomparisonoperationkernel',['NEComparisonOperationKernel',['../classarm__compute_1_1_n_e_comparison_operation_kernel.xhtml',1,'arm_compute']]],
+ ['necomplexpixelwisemultiplication',['NEComplexPixelWiseMultiplication',['../classarm__compute_1_1_n_e_complex_pixel_wise_multiplication.xhtml',1,'arm_compute']]],
+ ['necomplexpixelwisemultiplicationkernel',['NEComplexPixelWiseMultiplicationKernel',['../classarm__compute_1_1_n_e_complex_pixel_wise_multiplication_kernel.xhtml',1,'arm_compute']]],
['neconcatenatelayer',['NEConcatenateLayer',['../classarm__compute_1_1_n_e_concatenate_layer.xhtml',1,'arm_compute']]],
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['necopykernel',['NECopyKernel',['../classarm__compute_1_1_n_e_copy_kernel.xhtml',1,'arm_compute']]],
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+ ['necropresize',['NECropResize',['../classarm__compute_1_1_n_e_crop_resize.xhtml',1,'arm_compute']]],
['necumulativedistributionkernel',['NECumulativeDistributionKernel',['../classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml',1,'arm_compute']]],
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['nedepthconvertlayer',['NEDepthConvertLayer',['../classarm__compute_1_1_n_e_depth_convert_layer.xhtml',1,'arm_compute']]],
['nedepthconvertlayerkernel',['NEDepthConvertLayerKernel',['../classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml',1,'arm_compute']]],
+ ['nedepthwiseconvolutionassemblydispatch',['NEDepthwiseConvolutionAssemblyDispatch',['../classarm__compute_1_1_n_e_depthwise_convolution_assembly_dispatch.xhtml',1,'arm_compute']]],
['nedepthwiseconvolutionlayer',['NEDepthwiseConvolutionLayer',['../classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml',1,'arm_compute']]],
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['nefastcornerskernel',['NEFastCornersKernel',['../classarm__compute_1_1_n_e_fast_corners_kernel.xhtml',1,'arm_compute']]],
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+ ['nefft2d',['NEFFT2D',['../classarm__compute_1_1_n_e_f_f_t2_d.xhtml',1,'arm_compute']]],
+ ['nefftconvolutionlayer',['NEFFTConvolutionLayer',['../classarm__compute_1_1_n_e_f_f_t_convolution_layer.xhtml',1,'arm_compute']]],
+ ['nefftdigitreversekernel',['NEFFTDigitReverseKernel',['../classarm__compute_1_1_n_e_f_f_t_digit_reverse_kernel.xhtml',1,'arm_compute']]],
+ ['nefftradixstagekernel',['NEFFTRadixStageKernel',['../classarm__compute_1_1_n_e_f_f_t_radix_stage_kernel.xhtml',1,'arm_compute']]],
+ ['nefftscalekernel',['NEFFTScaleKernel',['../classarm__compute_1_1_n_e_f_f_t_scale_kernel.xhtml',1,'arm_compute']]],
['nefillarraykernel',['NEFillArrayKernel',['../classarm__compute_1_1_n_e_fill_array_kernel.xhtml',1,'arm_compute']]],
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+ ['negemmlowpoffsetcontributionoutputstagekernel',['NEGEMMLowpOffsetContributionOutputStageKernel',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml',1,'arm_compute']]],
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['neharrisscorekernel',['NEHarrisScoreKernel',['../classarm__compute_1_1_n_e_harris_score_kernel.xhtml',1,'arm_compute']]],
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['nehistogram',['NEHistogram',['../classarm__compute_1_1_n_e_histogram.xhtml',1,'arm_compute']]],
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['nesplit',['NESplit',['../classarm__compute_1_1_n_e_split.xhtml',1,'arm_compute']]],
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diff --git a/documentation/search/defines_1.js b/documentation/search/defines_1.js
index 19214c4..522a968 100644
--- a/documentation/search/defines_1.js
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index 6b53826..1a8b68b 100644
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index 66b94be..9a17e47 100644
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index 8281b26..62da602 100644
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index f08292c..8281b26 100644
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+--></script>
+</div>
+</body>
+</html>
diff --git a/documentation/search/defines_17.js b/documentation/search/defines_17.js
new file mode 100644
index 0000000..c4bb486
--- /dev/null
+++ b/documentation/search/defines_17.js
@@ -0,0 +1,10 @@
+var searchData=
+[
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+ ['y1',['Y1',['../sobel__filter_8cl.xhtml#a294189cdea31dda8faf609b9b3e2000a',1,'sobel_filter.cl']]],
+ ['y2',['Y2',['../sobel__filter_8cl.xhtml#a3128cc29e366777d66d8b049451ca8a0',1,'sobel_filter.cl']]],
+ ['y3',['Y3',['../sobel__filter_8cl.xhtml#a676acf01638364a90adf5d09d2a215bf',1,'sobel_filter.cl']]],
+ ['y4',['Y4',['../sobel__filter_8cl.xhtml#a5a8e903c2373c4d65724c79cdea8b3d9',1,'sobel_filter.cl']]],
+ ['y5',['Y5',['../sobel__filter_8cl.xhtml#a770267173956bf918cf3ca1247b6de12',1,'sobel_filter.cl']]],
+ ['y6',['Y6',['../sobel__filter_8cl.xhtml#abcdba0de8723fe6f2d2eb284d7e98a41',1,'sobel_filter.cl']]]
+];
diff --git a/documentation/search/defines_2.js b/documentation/search/defines_2.js
index 749ad64..e3b2284 100644
--- a/documentation/search/defines_2.js
+++ b/documentation/search/defines_2.js
@@ -2,7 +2,6 @@
[
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['check_5fcorner',['CHECK_CORNER',['../fast__corners_8cl.xhtml#a2e2df45f46c673a1a5a1c8f4eb06aa09',1,'fast_corners.cl']]],
- ['check_5fnodeidx_5fpair',['CHECK_NODEIDX_PAIR',['../_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37',1,'GraphBuilder.cpp']]],
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@@ -19,7 +18,9 @@
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['convert_5fop_5fint',['CONVERT_OP_INT',['../pixelwise__mul__int_8cl.xhtml#a0a99388febbdc0cb5b9e664faf79233c',1,'pixelwise_mul_int.cl']]],
['convert_5fop_5fint_5fstr',['CONVERT_OP_INT_STR',['../pixelwise__mul__int_8cl.xhtml#ab958e43cb87518ce5dd73c7233bbf003',1,'pixelwise_mul_int.cl']]],
- ['convert_5frte',['CONVERT_RTE',['../elementwise__operation__quantized_8cl.xhtml#ab448fef4390583fc4b3832f8c590a2b0',1,'elementwise_operation_quantized.cl']]],
+ ['convert_5frte',['CONVERT_RTE',['../elementwise__operation__quantized_8cl.xhtml#ab448fef4390583fc4b3832f8c590a2b0',1,'CONVERT_RTE(): elementwise_operation_quantized.cl'],['../quantization__layer_8cl.xhtml#ab448fef4390583fc4b3832f8c590a2b0',1,'CONVERT_RTE(): quantization_layer.cl']]],
+ ['convert_5frte_5fvec',['CONVERT_RTE_VEC',['../quantization__layer_8cl.xhtml#a69f26e0fbc99605b9464b5500d4c461a',1,'quantization_layer.cl']]],
+ ['convert_5frte_5fvec_5fstr',['CONVERT_RTE_VEC_STR',['../quantization__layer_8cl.xhtml#a85ea2f9c49c7c00d41c25f6d5e0687e1',1,'quantization_layer.cl']]],
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['convert_5fsat_5fround',['CONVERT_SAT_ROUND',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a28b2b123792a5b11a32cb05a6d327437',1,'helpers.h']]],
['convert_5fsat_5fround_5fstr',['CONVERT_SAT_ROUND_STR',['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a341a0c28698c3f6bd171df1771c5a512',1,'helpers.h']]],
@@ -36,6 +37,10 @@
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['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']]],
['convert_5fup',['CONVERT_UP',['../depth__convert_8cl.xhtml#a9bed30cda5ab157322d2f0bbdff46d28',1,'depth_convert.cl']]],
+ ['convolution1x3_5fbifrost2x1_5fstride1',['CONVOLUTION1x3_BIFROST2X1_STRIDE1',['../depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44',1,'depthwise_convolution.cl']]],
+ ['convolution1x3_5fbifrost2x1_5fstride2',['CONVOLUTION1x3_BIFROST2X1_STRIDE2',['../depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44',1,'depthwise_convolution.cl']]],
+ ['convolution1x3_5fbifrost4x1_5fstride1',['CONVOLUTION1x3_BIFROST4X1_STRIDE1',['../depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa',1,'depthwise_convolution.cl']]],
+ ['convolution1x3_5fbifrost4x1_5fstride2',['CONVOLUTION1x3_BIFROST4X1_STRIDE2',['../depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc',1,'depthwise_convolution.cl']]],
['convolution_5frectangle_5fdata_5ftest_5fcase',['CONVOLUTION_RECTANGLE_DATA_TEST_CASE',['../benchmark_2_c_l_2_convolution_8cpp.xhtml#ace2ab3eb7f9a254dd1c11ca2dbe3e445',1,'CONVOLUTION_RECTANGLE_DATA_TEST_CASE(): Convolution.cpp'],['../benchmark_2_n_e_o_n_2_convolution_8cpp.xhtml#ace2ab3eb7f9a254dd1c11ca2dbe3e445',1,'CONVOLUTION_RECTANGLE_DATA_TEST_CASE(): Convolution.cpp']]],
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['convolution_5fsquare_5fdata_5ftest_5fcase',['CONVOLUTION_SQUARE_DATA_TEST_CASE',['../benchmark_2_c_l_2_convolution_8cpp.xhtml#a8864abaea5755acba3e284f15d85bc54',1,'CONVOLUTION_SQUARE_DATA_TEST_CASE(): Convolution.cpp'],['../benchmark_2_n_e_o_n_2_convolution_8cpp.xhtml#a8864abaea5755acba3e284f15d85bc54',1,'CONVOLUTION_SQUARE_DATA_TEST_CASE(): Convolution.cpp']]]
diff --git a/documentation/search/defines_3.js b/documentation/search/defines_3.js
index af78021..521c3c2 100644
--- a/documentation/search/defines_3.js
+++ b/documentation/search/defines_3.js
@@ -20,6 +20,12 @@
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['define_5fkernel_5fstr',['DEFINE_KERNEL_STR',['../comparisons_8cl.xhtml#a09a9348f4f03ddf2d08ae98bb8d0418b',1,'comparisons.cl']]],
['determinant_5fthr',['DETERMINANT_THR',['../optical__flow__pyramid__lk_8cl.xhtml#a0f3927d942874a04e6464bdb946de046',1,'optical_flow_pyramid_lk.cl']]],
+ ['dft_5f2',['DFT_2',['../fft_8cl.xhtml#a5a63ca1d5404d67d13382a90cfc9b6c3',1,'fft.cl']]],
+ ['dft_5f3',['DFT_3',['../fft_8cl.xhtml#ac6ec77d2e41d56919c14c1483eee94ac',1,'fft.cl']]],
+ ['dft_5f4',['DFT_4',['../fft_8cl.xhtml#af97e6d43f8b70bcf009d521f8909db25',1,'fft.cl']]],
+ ['dft_5f5',['DFT_5',['../fft_8cl.xhtml#a565f17c6fe3e9462057bb523e0127280',1,'fft.cl']]],
+ ['dft_5f7',['DFT_7',['../fft_8cl.xhtml#ad04a4028658f997aaca067742c2e8a49',1,'fft.cl']]],
+ ['dft_5f8',['DFT_8',['../fft_8cl.xhtml#a4c4ce3f10939dd4237d0adee00086a53',1,'fft.cl']]],
['disabled_5fdata_5ftest_5fcase',['DISABLED_DATA_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a2d0deff95a1325348da7d2a945982b59',1,'Macros.h']]],
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['disabled_5ffixture_5ftest_5fcase',['DISABLED_FIXTURE_TEST_CASE',['../tests_2framework_2_macros_8h.xhtml#a55d3bef40f09e56dc87e8f351a275385',1,'Macros.h']]],
diff --git a/documentation/search/defines_b.js b/documentation/search/defines_b.js
index 71a3dd2..99c4663 100644
--- a/documentation/search/defines_b.js
+++ b/documentation/search/defines_b.js
@@ -7,7 +7,6 @@
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['mat_5findex',['MAT_INDEX',['../convolution__rectangle_8cl.xhtml#a61020724430287ed1cd963e312ca47d2',1,'convolution_rectangle.cl']]],
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diff --git a/documentation/search/defines_d.js b/documentation/search/defines_d.js
index f35f245..2aed0bf 100644
--- a/documentation/search/defines_d.js
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@@ -6,5 +6,6 @@
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['out_5fstride_5fy',['out_stride_y',['../depthwise__convolution_8cl.xhtml#ac8b6b732372937bba276e6391944d1e1',1,'depthwise_convolution.cl']]],
['out_5fstride_5fz',['out_stride_z',['../depthwise__convolution_8cl.xhtml#a128f47cb6aacde29e07fde2c4b9f5dd2',1,'depthwise_convolution.cl']]],
+ ['output_5frow_5f2x2_5f7x7',['OUTPUT_ROW_2x2_7x7',['../winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f',1,'winograd_input_transform.cl']]],
['output_5frow_5f4x4_5f5x5',['OUTPUT_ROW_4x4_5x5',['../winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9',1,'winograd_input_transform.cl']]]
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diff --git a/documentation/search/defines_e.js b/documentation/search/defines_e.js
index 01472a2..78189cc 100644
--- a/documentation/search/defines_e.js
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@@ -4,6 +4,7 @@
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['pixel_5fwise_5fmultiplication_5fdata_5ftest_5fcase',['PIXEL_WISE_MULTIPLICATION_DATA_TEST_CASE',['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml#ac598fd8a5d0b27a19e9efa5f9d4aee82',1,'PixelWiseMultiplication.cpp']]],
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+ ['pixel_5fwise_5fmultiplication_5ffixture_5fqasymm8_5fdata_5ftest_5fcase',['PIXEL_WISE_MULTIPLICATION_FIXTURE_QASYMM8_DATA_TEST_CASE',['../_n_e_o_n_2_pixel_wise_multiplication_8cpp.xhtml#abab20361a5f0c5743efbc5e329846b77',1,'PixelWiseMultiplication.cpp']]],
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['pooling3x3_5fstride1',['POOLING3x3_STRIDE1',['../pooling__layer_8cl.xhtml#a6b8e66069b8cd3e743141d7f024a7d76',1,'pooling_layer.cl']]],
['pooling3x3_5fstride2',['POOLING3x3_STRIDE2',['../pooling__layer_8cl.xhtml#abb8f7128361a6a1965b1b2a5b3a719b2',1,'pooling_layer.cl']]],
diff --git a/documentation/search/defines_f.js b/documentation/search/defines_f.js
index 1a8b68b..904e4f1 100644
--- a/documentation/search/defines_f.js
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@@ -1,29 +1,4 @@
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diff --git a/documentation/search/enums_2.js b/documentation/search/enums_2.js
index a97252d..d042dd7 100644
--- a/documentation/search/enums_2.js
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@@ -1,6 +1,7 @@
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['clversion',['CLVersion',['../namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52e',1,'arm_compute']]],
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diff --git a/documentation/search/enums_3.js b/documentation/search/enums_3.js
index 7e20992..675d3cc 100644
--- a/documentation/search/enums_3.js
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diff --git a/documentation/search/enums_5.js b/documentation/search/enums_5.js
index e8d9f2a..62723bf 100644
--- a/documentation/search/enums_5.js
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diff --git a/documentation/search/enums_d.js b/documentation/search/enums_d.js
index f362b7a..81bb16d 100644
--- a/documentation/search/enums_d.js
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diff --git a/documentation/search/enumvalues_10.js b/documentation/search/enumvalues_10.js
index 4a0e20a..0929cde 100644
--- a/documentation/search/enumvalues_10.js
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index 4c7b147..9081dfa 100644
--- a/documentation/search/enumvalues_11.js
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index 5e4dd6d..105973d 100644
--- a/documentation/search/enumvalues_2.js
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diff --git a/documentation/search/enumvalues_3.js b/documentation/search/enumvalues_3.js
index b130ef2..d90e59b 100644
--- a/documentation/search/enumvalues_3.js
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diff --git a/documentation/search/enumvalues_4.js b/documentation/search/enumvalues_4.js
index cdf5f72..a593e64 100644
--- a/documentation/search/enumvalues_4.js
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diff --git a/documentation/search/enumvalues_5.js b/documentation/search/enumvalues_5.js
index 6fa5a98..2b30af3 100644
--- a/documentation/search/enumvalues_5.js
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@@ -4,9 +4,12 @@
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diff --git a/documentation/search/enumvalues_6.js b/documentation/search/enumvalues_6.js
index d2fb8db..77f94f3 100644
--- a/documentation/search/enumvalues_6.js
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index 4236cb6..2f68980 100644
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+ ['yololayernode_2ecpp',['YOLOLayerNode.cpp',['../_y_o_l_o_layer_node_8cpp.xhtml',1,'']]],
+ ['yololayernode_2eh',['YOLOLayerNode.h',['../_y_o_l_o_layer_node_8h.xhtml',1,'']]]
];
diff --git a/documentation/search/files_19.html b/documentation/search/files_19.html
new file mode 100644
index 0000000..e3b2a66
--- /dev/null
+++ b/documentation/search/files_19.html
@@ -0,0 +1,30 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta name="generator" content="Doxygen 1.8.15"/>
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+<script type="text/javascript" src="files_19.js"></script>
+<script type="text/javascript" src="search.js"></script>
+</head>
+<body class="SRPage">
+<div id="SRIndex">
+<div class="SRStatus" id="Loading">Loading...</div>
+<div id="SRResults"></div>
+<script type="text/javascript"><!--
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diff --git a/documentation/search/files_19.js b/documentation/search/files_19.js
new file mode 100644
index 0000000..2d9f240
--- /dev/null
+++ b/documentation/search/files_19.js
@@ -0,0 +1,4 @@
+var searchData=
+[
+ ['zipdataset_2eh',['ZipDataset.h',['../_zip_dataset_8h.xhtml',1,'']]]
+];
diff --git a/documentation/search/files_2.js b/documentation/search/files_2.js
index 97fe936..9f3f5df 100644
--- a/documentation/search/files_2.js
+++ b/documentation/search/files_2.js
@@ -9,7 +9,7 @@
['batchnormalizationlayer_2eh',['BatchNormalizationLayer.h',['../_batch_normalization_layer_8h.xhtml',1,'']]],
['batchnormalizationlayernode_2ecpp',['BatchNormalizationLayerNode.cpp',['../_batch_normalization_layer_node_8cpp.xhtml',1,'']]],
['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)'],['../reference_2_batch_to_space_layer_8cpp.xhtml',1,'(Global Namespace)']]],
+ ['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,'']]],
['bifrosttuner_2ecpp',['BifrostTuner.cpp',['../_bifrost_tuner_8cpp.xhtml',1,'']]],
['bifrosttuner_2eh',['BifrostTuner.h',['../_bifrost_tuner_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_3.js b/documentation/search/files_3.js
index 5e17b0c..688f501 100644
--- a/documentation/search/files_3.js
+++ b/documentation/search/files_3.js
@@ -121,12 +121,18 @@
['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,'']]],
+ ['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,'']]],
+ ['clcropresize_2eh',['CLCropResize.h',['../_c_l_crop_resize_8h.xhtml',1,'']]],
['cldeconvolutionlayer_2ecpp',['CLDeconvolutionLayer.cpp',['../_c_l_deconvolution_layer_8cpp.xhtml',1,'']]],
['cldeconvolutionlayer_2eh',['CLDeconvolutionLayer.h',['../_c_l_deconvolution_layer_8h.xhtml',1,'']]],
['cldeconvolutionlayerupsample_2ecpp',['CLDeconvolutionLayerUpsample.cpp',['../_c_l_deconvolution_layer_upsample_8cpp.xhtml',1,'']]],
['cldeconvolutionlayerupsample_2eh',['CLDeconvolutionLayerUpsample.h',['../_c_l_deconvolution_layer_upsample_8h.xhtml',1,'']]],
['cldeconvolutionlayerupsamplekernel_2ecpp',['CLDeconvolutionLayerUpsampleKernel.cpp',['../_c_l_deconvolution_layer_upsample_kernel_8cpp.xhtml',1,'']]],
['cldeconvolutionlayerupsamplekernel_2eh',['CLDeconvolutionLayerUpsampleKernel.h',['../_c_l_deconvolution_layer_upsample_kernel_8h.xhtml',1,'']]],
+ ['cldeconvolutionreshapeoutputkernel_2ecpp',['CLDeconvolutionReshapeOutputKernel.cpp',['../_c_l_deconvolution_reshape_output_kernel_8cpp.xhtml',1,'']]],
+ ['cldeconvolutionreshapeoutputkernel_2eh',['CLDeconvolutionReshapeOutputKernel.h',['../_c_l_deconvolution_reshape_output_kernel_8h.xhtml',1,'']]],
['cldepthconcatenatelayer_2ecpp',['CLDepthConcatenateLayer.cpp',['../_c_l_depth_concatenate_layer_8cpp.xhtml',1,'']]],
['cldepthconcatenatelayer_2eh',['CLDepthConcatenateLayer.h',['../_c_l_depth_concatenate_layer_8h.xhtml',1,'']]],
['cldepthconcatenatelayerkernel_2ecpp',['CLDepthConcatenateLayerKernel.cpp',['../_c_l_depth_concatenate_layer_kernel_8cpp.xhtml',1,'']]],
@@ -171,6 +177,8 @@
['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,'']]],
['cldistribution1d_2eh',['CLDistribution1D.h',['../_c_l_distribution1_d_8h.xhtml',1,'']]],
['clelementwiseoperationkernel_2ecpp',['CLElementwiseOperationKernel.cpp',['../_c_l_elementwise_operation_kernel_8cpp.xhtml',1,'']]],
@@ -191,6 +199,18 @@
['clfastcorners_2eh',['CLFastCorners.h',['../_c_l_fast_corners_8h.xhtml',1,'']]],
['clfastcornerskernel_2ecpp',['CLFastCornersKernel.cpp',['../_c_l_fast_corners_kernel_8cpp.xhtml',1,'']]],
['clfastcornerskernel_2eh',['CLFastCornersKernel.h',['../_c_l_fast_corners_kernel_8h.xhtml',1,'']]],
+ ['clfft1d_2ecpp',['CLFFT1D.cpp',['../_c_l_f_f_t1_d_8cpp.xhtml',1,'']]],
+ ['clfft1d_2eh',['CLFFT1D.h',['../_c_l_f_f_t1_d_8h.xhtml',1,'']]],
+ ['clfft2d_2ecpp',['CLFFT2D.cpp',['../_c_l_f_f_t2_d_8cpp.xhtml',1,'']]],
+ ['clfft2d_2eh',['CLFFT2D.h',['../_c_l_f_f_t2_d_8h.xhtml',1,'']]],
+ ['clfftconvolutionlayer_2ecpp',['CLFFTConvolutionLayer.cpp',['../_c_l_f_f_t_convolution_layer_8cpp.xhtml',1,'']]],
+ ['clfftconvolutionlayer_2eh',['CLFFTConvolutionLayer.h',['../_c_l_f_f_t_convolution_layer_8h.xhtml',1,'']]],
+ ['clfftdigitreversekernel_2ecpp',['CLFFTDigitReverseKernel.cpp',['../_c_l_f_f_t_digit_reverse_kernel_8cpp.xhtml',1,'']]],
+ ['clfftdigitreversekernel_2eh',['CLFFTDigitReverseKernel.h',['../_c_l_f_f_t_digit_reverse_kernel_8h.xhtml',1,'']]],
+ ['clfftradixstagekernel_2ecpp',['CLFFTRadixStageKernel.cpp',['../_c_l_f_f_t_radix_stage_kernel_8cpp.xhtml',1,'']]],
+ ['clfftradixstagekernel_2eh',['CLFFTRadixStageKernel.h',['../_c_l_f_f_t_radix_stage_kernel_8h.xhtml',1,'']]],
+ ['clfftscalekernel_2ecpp',['CLFFTScaleKernel.cpp',['../_c_l_f_f_t_scale_kernel_8cpp.xhtml',1,'']]],
+ ['clfftscalekernel_2eh',['CLFFTScaleKernel.h',['../_c_l_f_f_t_scale_kernel_8h.xhtml',1,'']]],
['clfillborder_2ecpp',['CLFillBorder.cpp',['../_c_l_fill_border_8cpp.xhtml',1,'']]],
['clfillborder_2eh',['CLFillBorder.h',['../_c_l_fill_border_8h.xhtml',1,'']]],
['clfillborderkernel_2ecpp',['CLFillBorderKernel.cpp',['../_c_l_fill_border_kernel_8cpp.xhtml',1,'']]],
@@ -232,6 +252,10 @@
['clgemm_2eh',['CLGEMM.h',['../_c_l_g_e_m_m_8h.xhtml',1,'']]],
['clgemmconvolutionlayer_2ecpp',['CLGEMMConvolutionLayer.cpp',['../_c_l_g_e_m_m_convolution_layer_8cpp.xhtml',1,'']]],
['clgemmconvolutionlayer_2eh',['CLGEMMConvolutionLayer.h',['../_c_l_g_e_m_m_convolution_layer_8h.xhtml',1,'']]],
+ ['clgemmdeconvolutionlayer_2ecpp',['CLGEMMDeconvolutionLayer.cpp',['../_c_l_g_e_m_m_deconvolution_layer_8cpp.xhtml',1,'']]],
+ ['clgemmdeconvolutionlayer_2eh',['CLGEMMDeconvolutionLayer.h',['../_c_l_g_e_m_m_deconvolution_layer_8h.xhtml',1,'']]],
+ ['clgemmhelpers_2ecpp',['CLGEMMHelpers.cpp',['../_c_l_g_e_m_m_helpers_8cpp.xhtml',1,'']]],
+ ['clgemmhelpers_2eh',['CLGEMMHelpers.h',['../_c_l_g_e_m_m_helpers_8h.xhtml',1,'']]],
['clgemminterleave4x4_2ecpp',['CLGEMMInterleave4x4.cpp',['../_c_l_g_e_m_m_interleave4x4_8cpp.xhtml',1,'']]],
['clgemminterleave4x4_2eh',['CLGEMMInterleave4x4.h',['../_c_l_g_e_m_m_interleave4x4_8h.xhtml',1,'']]],
['clgemminterleave4x4kernel_2ecpp',['CLGEMMInterleave4x4Kernel.cpp',['../_c_l_g_e_m_m_interleave4x4_kernel_8cpp.xhtml',1,'']]],
@@ -242,6 +266,8 @@
['clgemmlowpmatrixmultiplykernel_2eh',['CLGEMMLowpMatrixMultiplyKernel.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_kernel_8h.xhtml',1,'']]],
['clgemmlowpmatrixmultiplyreshapedkernel_2ecpp',['CLGEMMLowpMatrixMultiplyReshapedKernel.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel_8cpp.xhtml',1,'']]],
['clgemmlowpmatrixmultiplyreshapedkernel_2eh',['CLGEMMLowpMatrixMultiplyReshapedKernel.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_kernel_8h.xhtml',1,'']]],
+ ['clgemmlowpmatrixmultiplyreshapedonlyrhskernel_2ecpp',['CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_only_r_h_s_kernel_8cpp.xhtml',1,'']]],
+ ['clgemmlowpmatrixmultiplyreshapedonlyrhskernel_2eh',['CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.h',['../_c_l_g_e_m_m_lowp_matrix_multiply_reshaped_only_r_h_s_kernel_8h.xhtml',1,'']]],
['clgemmlowpoffsetcontributionkernel_2ecpp',['CLGEMMLowpOffsetContributionKernel.cpp',['../_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp.xhtml',1,'']]],
['clgemmlowpoffsetcontributionkernel_2eh',['CLGEMMLowpOffsetContributionKernel.h',['../_c_l_g_e_m_m_lowp_offset_contribution_kernel_8h.xhtml',1,'']]],
['clgemmlowpoffsetcontributionoutputstagekernel_2ecpp',['CLGEMMLowpOffsetContributionOutputStageKernel.cpp',['../_c_l_g_e_m_m_lowp_offset_contribution_output_stage_kernel_8cpp.xhtml',1,'']]],
@@ -264,11 +290,16 @@
['clgemmmatrixmultiplykernel_2eh',['CLGEMMMatrixMultiplyKernel.h',['../_c_l_g_e_m_m_matrix_multiply_kernel_8h.xhtml',1,'']]],
['clgemmmatrixmultiplyreshapedkernel_2ecpp',['CLGEMMMatrixMultiplyReshapedKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8cpp.xhtml',1,'']]],
['clgemmmatrixmultiplyreshapedkernel_2eh',['CLGEMMMatrixMultiplyReshapedKernel.h',['../_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8h.xhtml',1,'']]],
+ ['clgemmmatrixmultiplyreshapedonlyrhskernel_2ecpp',['CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp',['../_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel_8cpp.xhtml',1,'']]],
+ ['clgemmmatrixmultiplyreshapedonlyrhskernel_2eh',['CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h',['../_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel_8h.xhtml',1,'']]],
['clgemmmatrixvectormultiplykernel_2ecpp',['CLGEMMMatrixVectorMultiplyKernel.cpp',['../_c_l_g_e_m_m_matrix_vector_multiply_kernel_8cpp.xhtml',1,'']]],
['clgemmmatrixvectormultiplykernel_2eh',['CLGEMMMatrixVectorMultiplyKernel.h',['../_c_l_g_e_m_m_matrix_vector_multiply_kernel_8h.xhtml',1,'']]],
- ['clgemmreshapedconfiguration_2eh',['CLGEMMReshapedConfiguration.h',['../_c_l_g_e_m_m_reshaped_configuration_8h.xhtml',1,'']]],
- ['clgemmreshapedconfigurationbifrost_2ecpp',['CLGEMMReshapedConfigurationBifrost.cpp',['../_c_l_g_e_m_m_reshaped_configuration_bifrost_8cpp.xhtml',1,'']]],
- ['clgemmreshapedconfigurationbifrost_2eh',['CLGEMMReshapedConfigurationBifrost.h',['../_c_l_g_e_m_m_reshaped_configuration_bifrost_8h.xhtml',1,'']]],
+ ['clgemmreshapedkernelconfiguration_2eh',['CLGEMMReshapedKernelConfiguration.h',['../_c_l_g_e_m_m_reshaped_kernel_configuration_8h.xhtml',1,'']]],
+ ['clgemmreshapedkernelconfigurationbifrost_2ecpp',['CLGEMMReshapedKernelConfigurationBifrost.cpp',['../_c_l_g_e_m_m_reshaped_kernel_configuration_bifrost_8cpp.xhtml',1,'']]],
+ ['clgemmreshapedkernelconfigurationbifrost_2eh',['CLGEMMReshapedKernelConfigurationBifrost.h',['../_c_l_g_e_m_m_reshaped_kernel_configuration_bifrost_8h.xhtml',1,'']]],
+ ['clgemmreshapedonlyrhskernelconfiguration_2eh',['CLGEMMReshapedOnlyRHSKernelConfiguration.h',['../_c_l_g_e_m_m_reshaped_only_r_h_s_kernel_configuration_8h.xhtml',1,'']]],
+ ['clgemmreshapedonlyrhskernelconfigurationbifrost_2ecpp',['CLGEMMReshapedOnlyRHSKernelConfigurationBifrost.cpp',['../_c_l_g_e_m_m_reshaped_only_r_h_s_kernel_configuration_bifrost_8cpp.xhtml',1,'']]],
+ ['clgemmreshapedonlyrhskernelconfigurationbifrost_2eh',['CLGEMMReshapedOnlyRHSKernelConfigurationBifrost.h',['../_c_l_g_e_m_m_reshaped_only_r_h_s_kernel_configuration_bifrost_8h.xhtml',1,'']]],
['clgemmreshapelhsmatrixkernel_2ecpp',['CLGEMMReshapeLHSMatrixKernel.cpp',['../_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_8cpp.xhtml',1,'']]],
['clgemmreshapelhsmatrixkernel_2eh',['CLGEMMReshapeLHSMatrixKernel.h',['../_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_8h.xhtml',1,'']]],
['clgemmreshaperhsmatrixkernel_2ecpp',['CLGEMMReshapeRHSMatrixKernel.cpp',['../_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8cpp.xhtml',1,'']]],
@@ -285,6 +316,8 @@
['clharriscorners_2eh',['CLHarrisCorners.h',['../_c_l_harris_corners_8h.xhtml',1,'']]],
['clharriscornerskernel_2ecpp',['CLHarrisCornersKernel.cpp',['../_c_l_harris_corners_kernel_8cpp.xhtml',1,'']]],
['clharriscornerskernel_2eh',['CLHarrisCornersKernel.h',['../_c_l_harris_corners_kernel_8h.xhtml',1,'']]],
+ ['clheightconcatenatelayerkernel_2ecpp',['CLHeightConcatenateLayerKernel.cpp',['../_c_l_height_concatenate_layer_kernel_8cpp.xhtml',1,'']]],
+ ['clheightconcatenatelayerkernel_2eh',['CLHeightConcatenateLayerKernel.h',['../_c_l_height_concatenate_layer_kernel_8h.xhtml',1,'']]],
['clhelpers_2ecpp',['CLHelpers.cpp',['../core_2_c_l_2_c_l_helpers_8cpp.xhtml',1,'(Global Namespace)'],['../runtime_2_c_l_2_c_l_helpers_8cpp.xhtml',1,'(Global Namespace)']]],
['clhelpers_2eh',['CLHelpers.h',['../core_2_c_l_2_c_l_helpers_8h.xhtml',1,'(Global Namespace)'],['../runtime_2_c_l_2_c_l_helpers_8h.xhtml',1,'(Global Namespace)']]],
['clhistogram_2ecpp',['CLHistogram.cpp',['../_c_l_histogram_8cpp.xhtml',1,'']]],
@@ -336,6 +369,8 @@
['cllutaccessor_2eh',['CLLutAccessor.h',['../_c_l_lut_accessor_8h.xhtml',1,'']]],
['cllutallocator_2ecpp',['CLLutAllocator.cpp',['../_c_l_lut_allocator_8cpp.xhtml',1,'']]],
['cllutallocator_2eh',['CLLutAllocator.h',['../_c_l_lut_allocator_8h.xhtml',1,'']]],
+ ['cllwslist_2ecpp',['CLLWSList.cpp',['../_c_l_l_w_s_list_8cpp.xhtml',1,'']]],
+ ['cllwslist_2eh',['CLLWSList.h',['../_c_l_l_w_s_list_8h.xhtml',1,'']]],
['clmagnitude_2ecpp',['CLMagnitude.cpp',['../_c_l_magnitude_8cpp.xhtml',1,'']]],
['clmagnitude_2eh',['CLMagnitude.h',['../_c_l_magnitude_8h.xhtml',1,'']]],
['clmagnitudephasekernel_2ecpp',['CLMagnitudePhaseKernel.cpp',['../_c_l_magnitude_phase_kernel_8cpp.xhtml',1,'']]],
@@ -522,6 +557,7 @@
['cltransposekernel_2eh',['CLTransposeKernel.h',['../_c_l_transpose_kernel_8h.xhtml',1,'']]],
['cltuner_2ecpp',['CLTuner.cpp',['../_c_l_tuner_8cpp.xhtml',1,'']]],
['cltuner_2eh',['CLTuner.h',['../_c_l_tuner_8h.xhtml',1,'']]],
+ ['cltunertypes_2eh',['CLTunerTypes.h',['../_c_l_tuner_types_8h.xhtml',1,'']]],
['cltypes_2eh',['CLTypes.h',['../_c_l_types_8h.xhtml',1,'']]],
['clunstack_2ecpp',['CLUnstack.cpp',['../_c_l_unstack_8cpp.xhtml',1,'']]],
['clunstack_2eh',['CLUnstack.h',['../_c_l_unstack_8h.xhtml',1,'']]],
@@ -582,6 +618,8 @@
['computeallanchors_2ecpp',['ComputeAllAnchors.cpp',['../_compute_all_anchors_8cpp.xhtml',1,'']]],
['computeallanchors_2eh',['ComputeAllAnchors.h',['../_compute_all_anchors_8h.xhtml',1,'']]],
['concatenate_2ecl',['concatenate.cl',['../concatenate_8cl.xhtml',1,'']]],
+ ['concatenatelayer_2ecpp',['ConcatenateLayer.cpp',['../_concatenate_layer_8cpp.xhtml',1,'']]],
+ ['concatenatelayer_2eh',['ConcatenateLayer.h',['../_concatenate_layer_8h.xhtml',1,'']]],
['concatenatelayernode_2ecpp',['ConcatenateLayerNode.cpp',['../_concatenate_layer_node_8cpp.xhtml',1,'']]],
['concatenatelayernode_2eh',['ConcatenateLayerNode.h',['../_concatenate_layer_node_8h.xhtml',1,'']]],
['constnode_2ecpp',['ConstNode.cpp',['../_const_node_8cpp.xhtml',1,'']]],
@@ -641,6 +679,9 @@
['cppupsamplekernel_2eh',['CPPUpsampleKernel.h',['../_c_p_p_upsample_kernel_8h.xhtml',1,'']]],
['cpuutils_2ecpp',['CPUUtils.cpp',['../_c_p_u_utils_8cpp.xhtml',1,'']]],
['cpuutils_2eh',['CPUUtils.h',['../_c_p_u_utils_8h.xhtml',1,'']]],
+ ['crop_5ftensor_2ecl',['crop_tensor.cl',['../crop__tensor_8cl.xhtml',1,'']]],
+ ['cropresize_2ecpp',['CropResize.cpp',['../_c_l_2_crop_resize_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_crop_resize_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_crop_resize_8cpp.xhtml',1,'(Global Namespace)']]],
+ ['cropresize_2eh',['CropResize.h',['../_crop_resize_8h.xhtml',1,'']]],
['crosslayermemorymanagerhelpers_2ecpp',['CrossLayerMemoryManagerHelpers.cpp',['../_cross_layer_memory_manager_helpers_8cpp.xhtml',1,'']]],
['crosslayermemorymanagerhelpers_2eh',['CrossLayerMemoryManagerHelpers.h',['../_cross_layer_memory_manager_helpers_8h.xhtml',1,'']]],
['crtp_2eh',['CRTP.h',['../_c_r_t_p_8h.xhtml',1,'']]]
diff --git a/documentation/search/files_4.js b/documentation/search/files_4.js
index 22fcff0..7bd726c 100644
--- a/documentation/search/files_4.js
+++ b/documentation/search/files_4.js
@@ -32,6 +32,8 @@
['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,'']]],
+ ['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)']]],
+ ['dft_2eh',['DFT.h',['../_d_f_t_8h.xhtml',1,'']]],
['dilate_2ecl',['dilate.cl',['../dilate_8cl.xhtml',1,'']]],
['dilate_2ecpp',['Dilate.cpp',['../_c_l_2_dilate_8cpp.xhtml',1,'(Global Namespace)'],['../_n_e_o_n_2_dilate_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_dilate_8cpp.xhtml',1,'(Global Namespace)']]],
['dilate_2eh',['Dilate.h',['../_dilate_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_6.js b/documentation/search/files_6.js
index 314882b..fc926c5 100644
--- a/documentation/search/files_6.js
+++ b/documentation/search/files_6.js
@@ -3,6 +3,11 @@
['fast_5fcorners_2ecl',['fast_corners.cl',['../fast__corners_8cl.xhtml',1,'']]],
['fastcorners_2ecpp',['FastCorners.cpp',['../benchmark_2_c_l_2_fast_corners_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_fast_corners_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_fast_corners_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_fast_corners_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_fast_corners_8cpp.xhtml',1,'(Global Namespace)']]],
['fastcorners_2eh',['FastCorners.h',['../_fast_corners_8h.xhtml',1,'']]],
+ ['fft_2ecl',['fft.cl',['../fft_8cl.xhtml',1,'']]],
+ ['fft_2ecpp',['fft.cpp',['../src_2core_2utils_2helpers_2fft_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2benchmark_2_c_l_2fft_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2benchmark_2_n_e_o_n_2fft_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_c_l_2fft_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_n_e_o_n_2fft_8cpp.xhtml',1,'(Global Namespace)']]],
+ ['fft_2eh',['fft.h',['../fft_8h.xhtml',1,'']]],
+ ['fft_5fdigit_5freverse_2ecl',['fft_digit_reverse.cl',['../fft__digit__reverse_8cl.xhtml',1,'']]],
+ ['fft_5fscale_2ecl',['fft_scale.cl',['../fft__scale_8cl.xhtml',1,'']]],
['filehandler_2ecpp',['FileHandler.cpp',['../_file_handler_8cpp.xhtml',1,'']]],
['filehandler_2eh',['FileHandler.h',['../_file_handler_8h.xhtml',1,'']]],
['fileprinter_2ecpp',['FilePrinter.cpp',['../_file_printer_8cpp.xhtml',1,'']]],
@@ -24,5 +29,9 @@
['fullyconnectedlayer_2ecpp',['FullyConnectedLayer.cpp',['../src_2graph_2nodes_2_fully_connected_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2benchmark_2_c_l_2_fully_connected_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2benchmark_2_g_l_e_s___c_o_m_p_u_t_e_2_fully_connected_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2benchmark_2_n_e_o_n_2_fully_connected_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_c_l_2_fully_connected_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_g_l_e_s___c_o_m_p_u_t_e_2_fully_connected_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2_n_e_o_n_2_fully_connected_layer_8cpp.xhtml',1,'(Global Namespace)'],['../tests_2validation_2reference_2_fully_connected_layer_8cpp.xhtml',1,'(Global Namespace)']]],
['fullyconnectedlayer_2eh',['FullyConnectedLayer.h',['../_fully_connected_layer_8h.xhtml',1,'']]],
['fullyconnectedlayernode_2eh',['FullyConnectedLayerNode.h',['../_fully_connected_layer_node_8h.xhtml',1,'']]],
- ['functionhelpers_2eh',['FunctionHelpers.h',['../_function_helpers_8h.xhtml',1,'']]]
+ ['functiondescriptors_2eh',['FunctionDescriptors.h',['../_function_descriptors_8h.xhtml',1,'']]],
+ ['functionhelpers_2eh',['FunctionHelpers.h',['../_function_helpers_8h.xhtml',1,'']]],
+ ['fusedconvolutionbatchnormalizationfunction_2eh',['FusedConvolutionBatchNormalizationFunction.h',['../_fused_convolution_batch_normalization_function_8h.xhtml',1,'']]],
+ ['fusedconvolutionbatchnormalizationnode_2ecpp',['FusedConvolutionBatchNormalizationNode.cpp',['../_fused_convolution_batch_normalization_node_8cpp.xhtml',1,'']]],
+ ['fusedconvolutionbatchnormalizationnode_2eh',['FusedConvolutionBatchNormalizationNode.h',['../_fused_convolution_batch_normalization_node_8h.xhtml',1,'']]]
];
diff --git a/documentation/search/files_7.js b/documentation/search/files_7.js
index 9479baf..86d373e 100644
--- a/documentation/search/files_7.js
+++ b/documentation/search/files_7.js
@@ -34,6 +34,8 @@
['gcbufferallocator_2eh',['GCBufferAllocator.h',['../_g_c_buffer_allocator_8h.xhtml',1,'']]],
['gccol2imkernel_2ecpp',['GCCol2ImKernel.cpp',['../_g_c_col2_im_kernel_8cpp.xhtml',1,'']]],
['gccol2imkernel_2eh',['GCCol2ImKernel.h',['../_g_c_col2_im_kernel_8h.xhtml',1,'']]],
+ ['gcconcatenatelayer_2ecpp',['GCConcatenateLayer.cpp',['../_g_c_concatenate_layer_8cpp.xhtml',1,'']]],
+ ['gcconcatenatelayer_2eh',['GCConcatenateLayer.h',['../_g_c_concatenate_layer_8h.xhtml',1,'']]],
['gcconvolutionlayer_2ecpp',['GCConvolutionLayer.cpp',['../_g_c_convolution_layer_8cpp.xhtml',1,'']]],
['gcconvolutionlayer_2eh',['GCConvolutionLayer.h',['../_g_c_convolution_layer_8h.xhtml',1,'']]],
['gcdepthconcatenatelayer_2ecpp',['GCDepthConcatenateLayer.cpp',['../_g_c_depth_concatenate_layer_8cpp.xhtml',1,'']]],
@@ -154,7 +156,9 @@
['gemmlowp_2ecpp',['GEMMLowp.cpp',['../benchmark_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_g_e_m_m_lowp_8cpp.xhtml',1,'(Global Namespace)']]],
['gemmlowp_2eh',['GEMMLowp.h',['../_g_e_m_m_lowp_8h.xhtml',1,'']]],
['gemmlowpmatrixmultiplyreshaped_2ecpp',['GEMMLowpMatrixMultiplyReshaped.cpp',['../_g_e_m_m_lowp_matrix_multiply_reshaped_8cpp.xhtml',1,'']]],
+ ['gemmlowpmatrixmultiplyreshapedonlyrhs_2ecpp',['GEMMLowpMatrixMultiplyReshapedOnlyRHS.cpp',['../_g_e_m_m_lowp_matrix_multiply_reshaped_only_r_h_s_8cpp.xhtml',1,'']]],
['gemmmatrixmultiplyreshaped_2ecpp',['GEMMMatrixMultiplyReshaped.cpp',['../_g_e_m_m_matrix_multiply_reshaped_8cpp.xhtml',1,'']]],
+ ['gemmmatrixmultiplyreshapedonlyrhs_2ecpp',['GEMMMatrixMultiplyReshapedOnlyRHS.cpp',['../_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_8cpp.xhtml',1,'']]],
['gemmreshapelhsmatrix_2ecpp',['GEMMReshapeLHSMatrix.cpp',['../_c_l_2_g_e_m_m_reshape_l_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_g_e_m_m_reshape_l_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)']]],
['gemmreshapelhsmatrix_2eh',['GEMMReshapeLHSMatrix.h',['../_g_e_m_m_reshape_l_h_s_matrix_8h.xhtml',1,'']]],
['gemmreshaperhsmatrix_2ecpp',['GEMMReshapeRHSMatrix.cpp',['../_c_l_2_g_e_m_m_reshape_r_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)'],['../reference_2_g_e_m_m_reshape_r_h_s_matrix_8cpp.xhtml',1,'(Global Namespace)']]],
@@ -168,7 +172,7 @@
['generateproposalslayer_2ecpp',['GenerateProposalsLayer.cpp',['../_generate_proposals_layer_8cpp.xhtml',1,'']]],
['generateproposalslayernode_2ecpp',['GenerateProposalsLayerNode.cpp',['../_generate_proposals_layer_node_8cpp.xhtml',1,'']]],
['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__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)'],['../sve__hybrid__fp32__mla__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__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)']]],
+ ['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)'],['../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)']]],
['gethigh_2eh',['gethigh.h',['../gethigh_8h.xhtml',1,'']]],
['getlane_2eh',['getlane.h',['../getlane_8h.xhtml',1,'']]],
['getlow_2eh',['getlow.h',['../getlow_8h.xhtml',1,'']]],
@@ -179,6 +183,7 @@
['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_5fdeepspeech_5fv0_5f4_5f1_2ecpp',['graph_deepspeech_v0_4_1.cpp',['../graph__deepspeech__v0__4__1_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,'']]],
diff --git a/documentation/search/files_8.js b/documentation/search/files_8.js
index 4f3e893..770465c 100644
--- a/documentation/search/files_8.js
+++ b/documentation/search/files_8.js
@@ -5,6 +5,7 @@
['harriscornerdetector_2ecpp',['HarrisCornerDetector.cpp',['../_harris_corner_detector_8cpp.xhtml',1,'']]],
['harriscornerdetector_2eh',['HarrisCornerDetector.h',['../_harris_corner_detector_8h.xhtml',1,'']]],
['harriscorners_2ecpp',['HarrisCorners.cpp',['../benchmark_2_c_l_2_harris_corners_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_harris_corners_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_harris_corners_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_harris_corners_8cpp.xhtml',1,'(Global Namespace)']]],
+ ['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)']]],
diff --git a/documentation/search/files_9.js b/documentation/search/files_9.js
index fa22815..1eb1007 100644
--- a/documentation/search/files_9.js
+++ b/documentation/search/files_9.js
@@ -10,7 +10,7 @@
['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,'']]],
['icldistribution1d_2eh',['ICLDistribution1D.h',['../_i_c_l_distribution1_d_8h.xhtml',1,'']]],
- ['iclgemmreshapedconfiguration_2eh',['ICLGEMMReshapedConfiguration.h',['../_i_c_l_g_e_m_m_reshaped_configuration_8h.xhtml',1,'']]],
+ ['iclgemmkernelconfiguration_2eh',['ICLGEMMKernelConfiguration.h',['../_i_c_l_g_e_m_m_kernel_configuration_8h.xhtml',1,'']]],
['iclhog_2ecpp',['ICLHOG.cpp',['../_i_c_l_h_o_g_8cpp.xhtml',1,'']]],
['iclhog_2eh',['ICLHOG.h',['../_i_c_l_h_o_g_8h.xhtml',1,'']]],
['iclkernel_2ecpp',['ICLKernel.cpp',['../_i_c_l_kernel_8cpp.xhtml',1,'']]],
@@ -85,6 +85,7 @@
['inesimplefunctionnoborder_2ecpp',['INESimpleFunctionNoBorder.cpp',['../_i_n_e_simple_function_no_border_8cpp.xhtml',1,'']]],
['inesimplefunctionnoborder_2eh',['INESimpleFunctionNoBorder.h',['../_i_n_e_simple_function_no_border_8h.xhtml',1,'']]],
['inesimplekernel_2eh',['INESimpleKernel.h',['../_i_n_e_simple_kernel_8h.xhtml',1,'']]],
+ ['infohelpers_2eh',['InfoHelpers.h',['../_info_helpers_8h.xhtml',1,'']]],
['initializerlistdataset_2eh',['InitializerListDataset.h',['../_initializer_list_dataset_8h.xhtml',1,'']]],
['inode_2ecpp',['INode.cpp',['../_i_node_8cpp.xhtml',1,'']]],
['inode_2eh',['INode.h',['../_i_node_8h.xhtml',1,'']]],
diff --git a/documentation/search/files_b.js b/documentation/search/files_b.js
index 5f3ca3d..dab09e0 100644
--- a/documentation/search/files_b.js
+++ b/documentation/search/files_b.js
@@ -1,30 +1,4 @@
var searchData=
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- ['l2normalizelayer_2ecpp',['L2NormalizeLayer.cpp',['../benchmark_2_c_l_2_l2_normalize_layer_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_l2_normalize_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_l2_normalize_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_l2_normalize_layer_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_l2_normalize_layer_8cpp.xhtml',1,'(Global Namespace)']]],
- ['l2normalizelayer_2eh',['L2NormalizeLayer.h',['../_l2_normalize_layer_8h.xhtml',1,'']]],
- ['laplacianpyramid_2ecpp',['LaplacianPyramid.cpp',['../benchmark_2_c_l_2_laplacian_pyramid_8cpp.xhtml',1,'(Global Namespace)'],['../benchmark_2_n_e_o_n_2_laplacian_pyramid_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_c_l_2_laplacian_pyramid_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2_n_e_o_n_2_laplacian_pyramid_8cpp.xhtml',1,'(Global Namespace)'],['../validation_2reference_2_laplacian_pyramid_8cpp.xhtml',1,'(Global Namespace)']]],
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- ['laplacianreconstruct_2eh',['LaplacianReconstruct.h',['../_laplacian_reconstruct_8h.xhtml',1,'']]],
- ['layers_2eh',['Layers.h',['../_layers_8h.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,'']]],
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index 229c092..82ce15d 100644
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index 9a44b05..229c092 100644
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index 3b03680..8054b34 100644
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diff --git a/documentation/search/functions_16.js b/documentation/search/functions_16.js
index 79d61ed..88af2e9 100644
--- a/documentation/search/functions_16.js
+++ b/documentation/search/functions_16.js
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diff --git a/documentation/search/functions_1a.js b/documentation/search/functions_1a.js
index 68ffeb3..ebc35d9 100644
--- a/documentation/search/functions_1a.js
+++ b/documentation/search/functions_1a.js
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['_7ecldeconvolutionlayerupsamplekernel',['~CLDeconvolutionLayerUpsampleKernel',['../classarm__compute_1_1_c_l_deconvolution_layer_upsample_kernel.xhtml#adaca95f065ea70e65d027c402caebc27',1,'arm_compute::CLDeconvolutionLayerUpsampleKernel']]],
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['_7ecldequantizationlayerkernel',['~CLDequantizationLayerKernel',['../classarm__compute_1_1_c_l_dequantization_layer_kernel.xhtml#ad739052d31399013f0cf01b376c442cc',1,'arm_compute::CLDequantizationLayerKernel']]],
['_7eclderivativekernel',['~CLDerivativeKernel',['../classarm__compute_1_1_c_l_derivative_kernel.xhtml#a83d38310c15f7b92264b5403ddd0bbda',1,'arm_compute::CLDerivativeKernel']]],
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['_7eclfastcornerskernel',['~CLFastCornersKernel',['../classarm__compute_1_1_c_l_fast_corners_kernel.xhtml#a2b06599adac42d0aa917573716356999',1,'arm_compute::CLFastCornersKernel']]],
+ ['_7eclfftdigitreversekernel',['~CLFFTDigitReverseKernel',['../classarm__compute_1_1_c_l_f_f_t_digit_reverse_kernel.xhtml#afd3f48a489191b1a7736c0bc3dcc7ea5',1,'arm_compute::CLFFTDigitReverseKernel']]],
+ ['_7eclfftradixstagekernel',['~CLFFTRadixStageKernel',['../classarm__compute_1_1_c_l_f_f_t_radix_stage_kernel.xhtml#abbdd6278e874063cb470210ad619b516',1,'arm_compute::CLFFTRadixStageKernel']]],
+ ['_7eclfftscalekernel',['~CLFFTScaleKernel',['../classarm__compute_1_1_c_l_f_f_t_scale_kernel.xhtml#a7dd3d70dcf9a3175bea69550060c0ca4',1,'arm_compute::CLFFTScaleKernel']]],
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['_7eclfusebatchnormalization',['~CLFuseBatchNormalization',['../classarm__compute_1_1_c_l_fuse_batch_normalization.xhtml#a4ef3acaf1a24c82ddf0c49898ff051f0',1,'arm_compute::CLFuseBatchNormalization']]],
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+ ['_7eclheightconcatenatelayerkernel',['~CLHeightConcatenateLayerKernel',['../classarm__compute_1_1_c_l_height_concatenate_layer_kernel.xhtml#ae8fb1e25f248f3035acf2ec021e3e259',1,'arm_compute::CLHeightConcatenateLayerKernel']]],
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{ 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), 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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(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, 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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("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, 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(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(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, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 3, })), framework::dataset::make("Expected", { false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a298d57f0fde19b5f0952a70be306e134',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::U8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 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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#a2b5e91ed93508f02f0d84f8647d70545',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, 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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#a79eb81d07ea2905434fe6223387f46df',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a76d69fa1a3a22e9db4eef7b062fc53aa',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::Small2DShapes(), 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framework::dataset::make("Expected", { false, false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a74612ce9f8b898bc171800b13fb3e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_pyramid_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74496771d90a70769feaa5739daf9622',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_reconstruct_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a876889712d97367ca5ed4b922705fc6e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, 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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, 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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, 13U), 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, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a757766423c4a26da3e4422e496617b8a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S16, DataType::S32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab437980729c1a4aca8155d3bf96f40d1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U), 1, DataType::U8), }), framework::dataset::make("Expected", { false, false, true })), input_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a327ea02cf18e7b8abed280f64b6e6d07',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", { DataType::U8 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d285112d4d773d616f899d4575d8abf',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make("MaskSize", { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac0e8c51ac5cf2b2f0cf69b64db39e81b',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, 5), })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, output_info, norm_info, 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a276598901fe9b24094975116ac66d5e2',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(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) })), 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framework::dataset::make("PermutationVector", { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(0U, 0U, 0U, 1000U) })), framework::dataset::make("Expected", { true, false, false, false, true, true, false, true, false, true, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10cbef7a4d5b95ee888e5371244056ae',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make("DataType", { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, 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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), })), framework::dataset::make("Scale",{ 2.f, 2.f, 2.f, -1.f, 1.f, 1.f})), framework::dataset::make("Expected", { true, true, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c98d948b32f0d1996681eef38f80d6',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), 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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, 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#ab9e741db901f2d726ab636eeb1439437',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, 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TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 3, 1, 1, 1, 1, 1, })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a73f99bf66a67a857145c0797dba93c50',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, 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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, 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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#a94eefbc94d13bbab00525b3b14e66971',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::F32), 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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, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ 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(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, true, true, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e4fa6ebedae23e8cd42c68038a489a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), }), 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), 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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), 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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, 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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#a2b5e91ed93508f02f0d84f8647d70545',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, 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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), 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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, 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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, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a757766423c4a26da3e4422e496617b8a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S16, DataType::S32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab437980729c1a4aca8155d3bf96f40d1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U), 1, DataType::U8), }), framework::dataset::make("Expected", { false, false, true })), input_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a327ea02cf18e7b8abed280f64b6e6d07',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", { DataType::U8 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5d285112d4d773d616f899d4575d8abf',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()), framework::dataset::make("MaskSize", { 3U, 5U })), datasets::MatrixPatterns()), datasets::BorderModes()), shape, function, mask_size, pattern, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac0e8c51ac5cf2b2f0cf69b64db39e81b',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, 5), })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3cae9fc421a796d441b8bca1d0cc074',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make("DataType", { DataType::F16 })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a478a9010906dfa0ee3f1028135c96777',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::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("MSTDInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0824b01503b3793ca2aeef15e88793e1',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), 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(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 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}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{0, 0}, {0, 0}, {1, 1}} })), framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::SYMMETRIC, PaddingMode::REFLECT, PaddingMode::REFLECT })), framework::dataset::make("Expected", { false, false, true, false, true, false })), input_info, output_info, padding, mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9830b21da051c2c7724923c6729e5fd9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo",{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::S16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(3U, 5U, 7U, 7U), 1, DataType::S16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32) })), framework::dataset::make("PermutationVector", { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(0U, 0U, 0U, 1000U) })), framework::dataset::make("Expected", { true, false, false, false, true, true, false, true, false, true, false })), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a10cbef7a4d5b95ee888e5371244056ae',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small4DShapes(), framework::dataset::make("DataType", { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d8ceb03a628fbc166c979678ab5ceef',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), }), 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), })), 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), })), framework::dataset::make("Scale",{ 2.f, 2.f, 2.f, -1.f, 1.f, 1.f})), framework::dataset::make("Expected", { true, true, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c98d948b32f0d1996681eef38f80d6',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::QASYMM8), 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, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make("PoolInfo", { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make("Expected", { false, false, false, false, false, true, false, true })), input_info, output_info, pool_info, 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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("ax", { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make("ay", { 1U, 1U, 1U, 1U, 0U, 0U, })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a925ebbdb984bd7de1e60ca47eb30502d',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::U16), TensorInfo(TensorShape(32U, 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framework::dataset::make("Shift",{ 1, 1, 1, 1, 1, 1, 8, 1, })), framework::dataset::make("Expected", { false, false, false, 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), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 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(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, })), 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(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#ae3b2d5fd8f3b2e1f7b4cbafebb25e312',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), 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data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4393002100019a1d2fe5a825aaf2a966',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, 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, 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a02e4fa6ebedae23e8cd42c68038a489a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), }), 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#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), 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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), 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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, 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output_info, pool_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, 10.0f, 10.0f, 100.0f, 100.0f })), framework::dataset::make("Step",{ 100.0f, 15.0f, 10.0f, 100.0f, -15.0f, 1.0f, 0.0f, 10.0f, 10.0f })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, })), output_info, start, end, step, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2021ddb32c83c8e932f5a5d7d315c87c',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), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::S16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make("Axis", { 0U, 0U, 0U, static_cast< unsigned int >(TensorShape::num_max_dimensions), 0U })), framework::dataset::make("Expected", { false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aec29421fa24c95cf9c740944a70e76b4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("BorderModes", { BorderMode::UNDEFINED, BorderMode::CONSTANT })), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6e35f864b13d57f8f40dc86931405f4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallReorgLayerDataset(), datasets::LargeReorgLayerDataset()), framework::dataset::make("DataType", { DataType::F32, DataType::F16, DataType::QASYMM8 })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), shape, stride, data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad5f537351eac7d53069515570e9f600f',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), 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(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(2U), 1, DataType::U8), }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), 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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Coordinates(4, 8, 1), Coordinates(8, 8, 1) }), create_vector({ Coordinates(12, 3, 1), Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1), Coordinates(4, 13, 1) }), create_vector({ Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1) }) })), window, start, end, expected_row_size, expected): WindowIterator.cpp']]],
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- ['winogradbase',['WinogradBase',['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#aa2895a99d9a1efae7844264931a0d348',1,'arm_compute::NEWinogradLayerTransformInputKernel::WinogradBase()'],['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml#aa2895a99d9a1efae7844264931a0d348',1,'arm_compute::NEWinogradLayerConfiguration::WinogradBase()']]],
+ ['winogradbase',['WinogradBase',['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a1bc75fe67cfd09e90f240a935da92f54',1,'arm_compute::NEWinogradLayerTransformInputKernel::WinogradBase()'],['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml#a1bc75fe67cfd09e90f240a935da92f54',1,'arm_compute::NEWinogradLayerConfiguration::WinogradBase()']]],
['winogradconv',['WinogradConv',['../classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#af17b2792d63e38a0eea385635191e836',1,'arm_compute::NEWinogradLayerTransformInputKernel::WinogradConv()'],['../classarm__compute_1_1_n_e_winograd_layer_configuration.xhtml#acd8461f7d784d4c09b73447f357e6b1a',1,'arm_compute::NEWinogradLayerConfiguration::WinogradConv()']]],
['workload',['Workload',['../classarm__compute_1_1_i_scheduler.xhtml#a4cdc00a99619ba76bf79a466cb85d4da',1,'arm_compute::IScheduler']]]
];
diff --git a/documentation/search/typedefs_3.js b/documentation/search/typedefs_3.js
index f0c61d0..82b4f94 100644
--- a/documentation/search/typedefs_3.js
+++ b/documentation/search/typedefs_3.js
@@ -53,12 +53,15 @@
['clconvolutionfixture',['CLConvolutionFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4f7e7c1722bc3888fa72a9d5ec9756ec',1,'arm_compute::test::benchmark::CLConvolutionFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a65eece68a5004908363ee0e6dde74570',1,'arm_compute::test::validation::CLConvolutionFixture()']]],
['clcoordinates2darray',['CLCoordinates2DArray',['../namespacearm__compute.xhtml#a0fd5f0310a26faad00b905bac3792726',1,'arm_compute']]],
['clcopyfixture',['CLCopyFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af0ac7c878ad653823eac88f4065ec039',1,'arm_compute::test::validation']]],
+ ['clcropresizefixture',['CLCropResizeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ab750f446851bd121dd78b35a0f8b791f',1,'arm_compute::test::validation']]],
['cldeconvolutionlayerfixture1x1',['CLDeconvolutionLayerFixture1x1',['../namespacearm__compute_1_1test_1_1validation.xhtml#af71c147198af793e2d7729684928a439',1,'arm_compute::test::validation']]],
+ ['cldeconvolutionlayerfixture2x2',['CLDeconvolutionLayerFixture2x2',['../namespacearm__compute_1_1test_1_1validation.xhtml#a30b4ce7cf8379d46fb023cf93d890835',1,'arm_compute::test::validation']]],
['cldeconvolutionlayerfixture3x3',['CLDeconvolutionLayerFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#acc69b037b3a1718f102d0b3dd15c5b11',1,'arm_compute::test::validation']]],
['cldeconvolutionlayerfixture4x4',['CLDeconvolutionLayerFixture4x4',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8972b2aa4f0dcbc6d198324e56ed7238',1,'arm_compute::test::validation']]],
['cldeconvolutionlayerquantizedfixture1x1',['CLDeconvolutionLayerQuantizedFixture1x1',['../namespacearm__compute_1_1test_1_1validation.xhtml#a639a87a5df1d542b9b9b4d87f8ed423a',1,'arm_compute::test::validation']]],
+ ['cldeconvolutionlayerquantizedfixture2x2',['CLDeconvolutionLayerQuantizedFixture2x2',['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1b2ec2ed0c74e5cac07a970ffc03525',1,'arm_compute::test::validation']]],
['cldeconvolutionlayerquantizedfixture3x3',['CLDeconvolutionLayerQuantizedFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#abb10129763fb266c517f53bca55dc6ee',1,'arm_compute::test::validation']]],
- ['cldepthconcatenatelayerfixture',['CLDepthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a85cc13cded1c0485c4ad8a90962b298f',1,'arm_compute::test::benchmark::CLDepthConcatenateLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a229fee4458cd3cf5f2411bff26cfa3c1',1,'arm_compute::test::validation::CLDepthConcatenateLayerFixture()']]],
+ ['cldepthconcatenatelayerfixture',['CLDepthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a85cc13cded1c0485c4ad8a90962b298f',1,'arm_compute::test::benchmark::CLDepthConcatenateLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a01864dcc1581cf03f1d0808e30ec8845',1,'arm_compute::test::validation::CLDepthConcatenateLayerFixture()']]],
['cldepthconvertlayertof16fixture',['CLDepthConvertLayerToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af34f4659b265497215fd2a556a603a2a',1,'arm_compute::test::validation']]],
['cldepthconvertlayertof32fixture',['CLDepthConvertLayerToF32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a37074ca554a7e99c0109c21661b1f942',1,'arm_compute::test::validation']]],
['cldepthconvertlayertos16fixture',['CLDepthConvertLayerToS16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b6d655ebf3833ad6f67708e7cf2626d',1,'arm_compute::test::validation']]],
@@ -67,7 +70,6 @@
['cldepthconvertlayertou32fixture',['CLDepthConvertLayerToU32Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5f40d9ffb69897acaba91f2b4c88209b',1,'arm_compute::test::validation']]],
['cldepthconvertlayertou8fixture',['CLDepthConvertLayerToU8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a909e0727b1128c90c5be56db27e93670',1,'arm_compute::test::validation']]],
['cldepthwiseconvolutionlayerfixture',['CLDepthwiseConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3b4fdd4e87ff1c0b97c9844a26307eb9',1,'arm_compute::test::benchmark::CLDepthwiseConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce',1,'arm_compute::test::validation::CLDepthwiseConvolutionLayerFixture()']]],
- ['cldepthwiseconvolutionlayerquantizedfixture',['CLDepthwiseConvolutionLayerQuantizedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af5ad79218ce618faeba270aa32dd6583',1,'arm_compute::test::validation']]],
['cldepthwiseseparableconvolutionlayerfixture',['CLDepthwiseSeparableConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#adc07e82b4049d653c965af2606a7d70f',1,'arm_compute::test::benchmark::CLDepthwiseSeparableConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7d8ee70f334bba58e619c86492b9f014',1,'arm_compute::test::validation::CLDepthwiseSeparableConvolutionLayerFixture()']]],
['cldequantizationlayerfixture',['CLDequantizationLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a080692d080fe0724e47b2134d903684a',1,'arm_compute::test::benchmark::CLDequantizationLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a30b407fe9a284b2478c914e1981c3d47',1,'arm_compute::test::validation::CLDequantizationLayerFixture()']]],
['clderivativefixture',['CLDerivativeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a920281146f49fbc6b7fb4b54cf65fd7e',1,'arm_compute::test::validation']]],
@@ -90,6 +92,9 @@
['clerodefixture',['CLErodeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af30aab5b15cc6fedbad8d4bf4494a801',1,'arm_compute::test::validation']]],
['clexplayerfixture',['CLExpLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a6d8eac94a68a9181593785b6aa8e5719',1,'arm_compute::test::validation']]],
['clfastcornersfixture',['CLFastCornersFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a03d6956873131b3bdca39600a58f905a',1,'arm_compute::test::benchmark::CLFastCornersFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a23837c7359608bfada46c0d1d6500818',1,'arm_compute::test::validation::CLFastCornersFixture()']]],
+ ['clfft1dfixture',['CLFFT1DFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a93e1c8846507014dbfe7242d80ffa525',1,'arm_compute::test::benchmark::CLFFT1DFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab43e1ef278ffc6fc35b71b5c246c9f36',1,'arm_compute::test::validation::CLFFT1DFixture()']]],
+ ['clfft2dfixture',['CLFFT2DFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a3a42489f12228c2c347f928a8e1267fd',1,'arm_compute::test::benchmark::CLFFT2DFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74475c4d9ce03030af7ebe78c408efd1',1,'arm_compute::test::validation::CLFFT2DFixture()']]],
+ ['clfftconvolutionlayerfixture',['CLFFTConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a22fb86f77a20d298ea600a2d24713c5e',1,'arm_compute::test::benchmark']]],
['clflattenlayerfixture',['CLFlattenLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ab64ec4673967dbced533c4f408a2859c',1,'arm_compute::test::benchmark::CLFlattenLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adfae1662a2c0658c753e42045c8dc2ea',1,'arm_compute::test::validation::CLFlattenLayerFixture()']]],
['clfloatarray',['CLFloatArray',['../namespacearm__compute.xhtml#a193a4859b365f3ef4e0d73a1e6b12c85',1,'arm_compute']]],
['clfloorfixture',['CLFloorFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a4a14e383a632057e99845c74a72a6454',1,'arm_compute::test::benchmark::CLFloorFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af883fa9f2d63cdafcb99f78ce2c37c81',1,'arm_compute::test::validation::CLFloorFixture()']]],
@@ -109,15 +114,21 @@
['clgemminterleave4x4fixture',['CLGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#afdc32f67ae6cdc84f731b3715c8589c6',1,'arm_compute::test::validation']]],
['clgemmlowpfixture',['CLGEMMLowpFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#aa2b528ffcc8ae3f017a4b0fefde56083',1,'arm_compute::test::benchmark']]],
['clgemmlowpmatrixmultiplycorefixture',['CLGEMMLowpMatrixMultiplyCoreFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a987e738d167c4e273e09c6295fdde3a4',1,'arm_compute::test::validation']]],
- ['clgemmlowpmatrixmultiplycoreoutput3dfixture',['CLGEMMLowpMatrixMultiplyCoreOutput3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa0968b537944a3c391565d96837b7429',1,'arm_compute::test::validation']]],
+ ['clgemmlowpmatrixmultiplycorefusedoffsetoutputfixture',['CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8bb2447471cf633d8db24ab5b97d9f48',1,'arm_compute::test::validation']]],
['clgemmlowpmatrixmultiplyreshaped',['CLGEMMLowpMatrixMultiplyReshaped',['../namespacearm__compute_1_1test_1_1validation.xhtml#a466155694911d5db69f50b4cb56dfbe1',1,'arm_compute::test::validation']]],
['clgemmlowpmatrixmultiplyreshaped3dfixture',['CLGEMMLowpMatrixMultiplyReshaped3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56cabea40d0a68a8f796020685c384fe',1,'arm_compute::test::validation']]],
['clgemmlowpmatrixmultiplyreshapedfixture',['CLGEMMLowpMatrixMultiplyReshapedFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1eabbfb6cceb82af7619ea6fcdea1863',1,'arm_compute::test::validation']]],
+ ['clgemmlowpmatrixmultiplyreshapedonlyrhs',['CLGEMMLowpMatrixMultiplyReshapedOnlyRHS',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2abf9290c3ebbb76cc6cd522aa7c56f6',1,'arm_compute::test::validation']]],
+ ['clgemmlowpmatrixmultiplyreshapedonlyrhs3dfixture',['CLGEMMLowpMatrixMultiplyReshapedOnlyRHS3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7844a9a99ea7dec2a044268b04de050b',1,'arm_compute::test::validation']]],
+ ['clgemmlowpmatrixmultiplyreshapedonlyrhsfixture',['CLGEMMLowpMatrixMultiplyReshapedOnlyRHSFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ee2e5ad5925615ee01db515e85364d6',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']]],
['clgemmmatrixmultiplyreshaped',['CLGEMMMatrixMultiplyReshaped',['../namespacearm__compute_1_1test_1_1validation.xhtml#a50b165b25b7da7df9a788d5d62f48855',1,'arm_compute::test::validation']]],
['clgemmmatrixmultiplyreshaped3dfixture',['CLGEMMMatrixMultiplyReshaped3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a190fe7a9395c7506255fd387eb1be2',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']]],
+ ['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']]],
['clgemmreshapelhsmatrix3dfixture',['CLGEMMReshapeLHSMatrix3DFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a670407d9a85f9e7f95ceb2f6131edd8f',1,'arm_compute::test::validation']]],
@@ -130,6 +141,7 @@
['clgreater',['CLGreater',['../namespacearm__compute.xhtml#ab9b18840e11edcbeafcd80d4c44b80cb',1,'arm_compute']]],
['clgreaterequal',['CLGreaterEqual',['../namespacearm__compute.xhtml#ade630074f2c9d58d64c399bd6b49bc56',1,'arm_compute']]],
['clharriscornersfixture',['CLHarrisCornersFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acc1998a9a2fa8ee46b0858e6bd387669',1,'arm_compute::test::benchmark::CLHarrisCornersFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a51437d29fc541897e39c63a80bcf23f9',1,'arm_compute::test::validation::CLHarrisCornersFixture()']]],
+ ['clheightconcatenatelayerfixture',['CLHeightConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0db85251239627cd09ea2f1f7ff63c85',1,'arm_compute::test::validation']]],
['clhistogramfixture',['CLHistogramFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ad26e0cba82d5e346758d241c3ebecd37',1,'arm_compute::test::benchmark::CLHistogramFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a359bbb7c623ba609211996708840d845',1,'arm_compute::test::validation::CLHistogramFixture()']]],
['clhogdescriptorfixture',['CLHOGDescriptorFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a524d03a06f807714d5db385da2d10823',1,'arm_compute::test::benchmark::CLHOGDescriptorFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2b2458f1988cad092a5c80f1bd172c49',1,'arm_compute::test::validation::CLHOGDescriptorFixture()']]],
['clhogdetectorfixture',['CLHOGDetectorFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a11edc669e96b573c0e2fc70029940eff',1,'arm_compute::test::benchmark::CLHOGDetectorFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a85e14925c42b13589ced8049e0ac99b6',1,'arm_compute::test::validation::CLHOGDetectorFixture()']]],
@@ -217,7 +229,7 @@
['clweightsreshape',['CLWeightsReshape',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4b827fc7e5803321a805c747dcd306c8',1,'arm_compute::test::validation']]],
['clweightsreshapefixture',['CLWeightsReshapeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a12fc26636d5170abf8784212da108bef',1,'arm_compute::test::validation']]],
['clweightsretentionfixture',['CLWeightsRetentionFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0f1e1e9ef60cbe2dd3461a0153c3cb3',1,'arm_compute::test::validation']]],
- ['clwidthconcatenatelayerfixture',['CLWidthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1cbc5788231527b133ea108a5ca41c89',1,'arm_compute::test::validation']]],
+ ['clwidthconcatenatelayerfixture',['CLWidthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae109f814ea5c5936ebba721f3f7783b6',1,'arm_compute::test::validation']]],
['clwinogradconvolutionlayerfastmathfixture',['CLWinogradConvolutionLayerFastMathFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a4aa7763717f234371acad168e9ed5e5f',1,'arm_compute::test::validation']]],
['clwinogradfiltertransform',['CLWinogradFilterTransform',['../namespacearm__compute_1_1test_1_1validation.xhtml#a054857a13b43100f3d48e98e7a4cb626',1,'arm_compute::test::validation']]],
['clwinogradfiltertransformfixturefp16',['CLWinogradFilterTransformFixtureFP16',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0f2f853980da09ef049d1e04764ba325',1,'arm_compute::test::validation']]],
diff --git a/documentation/search/typedefs_7.js b/documentation/search/typedefs_7.js
index e8464d5..f725499 100644
--- a/documentation/search/typedefs_7.js
+++ b/documentation/search/typedefs_7.js
@@ -7,7 +7,7 @@
['gcblobmemorymanagerreconfigurefixture',['GCBlobMemoryManagerReconfigureFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a45e11d9fb343c8400a6a64e39da75c6d',1,'arm_compute::test::validation']]],
['gcblobmemorymanagersimplewithinfunctionlevelfixture',['GCBlobMemoryManagerSimpleWithinFunctionLevelFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f66c0c969e83531e5a039e8c3fbfcf4',1,'arm_compute::test::validation']]],
['gcconvolutionlayerfixture',['GCConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a687511939ad6b7d2c823bf4167547fad',1,'arm_compute::test::benchmark::GCConvolutionLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa9dbfc3b5de017a7a44b18d0fdf973e2',1,'arm_compute::test::validation::GCConvolutionLayerFixture()']]],
- ['gcdepthconcatenatelayerfixture',['GCDepthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#acce611b053cf3586304454edaba6fe25',1,'arm_compute::test::validation']]],
+ ['gcdepthconcatenatelayerfixture',['GCDepthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae627a0b156619eee29e4f8eee412f8df',1,'arm_compute::test::validation']]],
['gcdepthwiseconvolutionlayerfixture',['GCDepthwiseConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae809ef8d55ba29d3a7636231607183ef',1,'arm_compute::test::benchmark']]],
['gcdepthwiseconvolutionlayerfixture3x3',['GCDepthwiseConvolutionLayerFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#a315c259b56bfca1965c8dc15b92b13b6',1,'arm_compute::test::validation']]],
['gcdirectconvolutionlayer1x1kernel',['GCDirectConvolutionLayer1x1Kernel',['../namespacearm__compute.xhtml#a10f3af894ca8b0479a5e6bc296083314',1,'arm_compute']]],
diff --git a/documentation/search/typedefs_9.js b/documentation/search/typedefs_9.js
index d86b028..ce50eda 100644
--- a/documentation/search/typedefs_9.js
+++ b/documentation/search/typedefs_9.js
@@ -23,6 +23,7 @@
['iint32array',['IInt32Array',['../namespacearm__compute.xhtml#a51fdf34dfc5c60b6f4f455f0a9cac457',1,'arm_compute']]],
['ikeypointarray',['IKeyPointArray',['../namespacearm__compute.xhtml#ab56a557a5fdf97819f23c35c24f0b0d2',1,'arm_compute']]],
['image',['Image',['../namespacearm__compute.xhtml#a7fb6a368d181ef193475f725c713430a',1,'arm_compute::Image()'],['../src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a9082e6aa9fd1705dc218cf44bc5a9d66',1,'Image(): helpers.h']]],
+ ['inboundscropfunction',['InBoundsCropFunction',['../classarm__compute_1_1_n_e_crop_kernel.xhtml#a54afc81e82afa5ab200b81f536b8453a',1,'arm_compute::NECropKernel']]],
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diff --git a/documentation/search/typedefs_d.js b/documentation/search/typedefs_d.js
index 8f24c97..abebd11 100644
--- a/documentation/search/typedefs_d.js
+++ b/documentation/search/typedefs_d.js
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+ ['nebatchtospacelayerfixture',['NEBatchToSpaceLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a56bc82b4c76371c36d037772ed9fb0af',1,'arm_compute::test::validation']]],
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+ ['necropresizefixture',['NECropResizeFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aaea8e95ff3943b3e9a1139a2bee38ab0',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']]],
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- ['nedepthconcatenatelayerfixture',['NEDepthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac1621ae0b84d28f536bf10b0b8667ea7',1,'arm_compute::test::benchmark::NEDepthConcatenateLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2edd00299986f6f9945504cb6af06c21',1,'arm_compute::test::validation::NEDepthConcatenateLayerFixture()']]],
+ ['nedeconvolutionlayerquantizedfixture1x1',['NEDeconvolutionLayerQuantizedFixture1x1',['../namespacearm__compute_1_1test_1_1validation.xhtml#a504620223beb769d936523b27032b44c',1,'arm_compute::test::validation']]],
+ ['nedeconvolutionlayerquantizedfixture3x3',['NEDeconvolutionLayerQuantizedFixture3x3',['../namespacearm__compute_1_1test_1_1validation.xhtml#a1b052afcae87047e6cf6eb64aeace32d',1,'arm_compute::test::validation']]],
+ ['nedepthconcatenatelayerfixture',['NEDepthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ac1621ae0b84d28f536bf10b0b8667ea7',1,'arm_compute::test::benchmark::NEDepthConcatenateLayerFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a884bd3d0dcec77be72e8a3d30b69fb82',1,'arm_compute::test::validation::NEDepthConcatenateLayerFixture()']]],
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['neexplayerfixture',['NEExpLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7413e0006a89e3800dfb32f37acf4f61',1,'arm_compute::test::validation']]],
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+ ['nefft1dfixture',['NEFFT1DFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#acfbc4ed4c1c9d9ed776e03a6f91889cc',1,'arm_compute::test::benchmark::NEFFT1DFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a917bc1e962d991e6a1e7b3110fcbb090',1,'arm_compute::test::validation::NEFFT1DFixture()']]],
+ ['nefft2dfixture',['NEFFT2DFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a5797f499839b1e5c293dd84998382608',1,'arm_compute::test::benchmark::NEFFT2DFixture()'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a44bae26b5fb6b97d8a427488ba7daf0f',1,'arm_compute::test::validation::NEFFT2DFixture()']]],
+ ['nefftconvolutionlayerfixture',['NEFFTConvolutionLayerFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#a71ea1274166c92b1914398cf4a369802',1,'arm_compute::test::benchmark']]],
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['negemminterleave4x4fixture',['NEGEMMInterleave4x4Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#af3d580506f47eca41d8ee90dd41ce153',1,'arm_compute::test::validation']]],
['negemmlowpfixture',['NEGEMMLowpFixture',['../namespacearm__compute_1_1test_1_1benchmark.xhtml#ae6b70294fc810b1706aa240ce6488d43',1,'arm_compute::test::benchmark']]],
['negemmlowpmatrixmultiplycorefixture',['NEGEMMLowpMatrixMultiplyCoreFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad6880410d254bb87a46a663bcdd944bf',1,'arm_compute::test::validation']]],
+ ['negemmlowpmatrixmultiplycorefusedoffsetoutputfixture',['NEGEMMLowpMatrixMultiplyCoreFusedOffsetOutputFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aacc518ecfae05fa0b46c5d4564230deb',1,'arm_compute::test::validation']]],
+ ['negemmlowpoffsetcontributionoutputstagefunction',['NEGEMMLowpOffsetContributionOutputStageFunction',['../classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_output_stage_kernel.xhtml#adb79bb3ad15444f00b55b35f1d6e16b7',1,'arm_compute::NEGEMMLowpOffsetContributionOutputStageKernel']]],
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['negemmtranspose1xw',['NEGEMMTranspose1xW',['../namespacearm__compute_1_1test_1_1validation.xhtml#adaa0f4b3f66514cee57da32f79467d95',1,'arm_compute::test::validation']]],
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['negreaterequal',['NEGreaterEqual',['../namespacearm__compute.xhtml#aa09ba119a3b8b2950581f7c80e9445b6',1,'arm_compute']]],
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+ ['neheightconcatenatelayerfixture',['NEHeightConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a8f636c7f2d23b139d5d6b70c03088fd4',1,'arm_compute::test::validation']]],
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['nepixelwisemultiplicationbroadcastfixture',['NEPixelWiseMultiplicationBroadcastFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa670d48d66ab33363db0a492e2453e81',1,'arm_compute::test::validation']]],
['nepixelwisemultiplicationtof16fixture',['NEPixelWiseMultiplicationToF16Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#a00633c0a03f1a6a5d04e25b365ca5750',1,'arm_compute::test::validation']]],
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+ ['nepixelwisemultiplicationtoqasymm8fixture',['NEPixelWiseMultiplicationToQASYMM8Fixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#aa921ce7fbdee2382820106df2da6f67a',1,'arm_compute::test::validation']]],
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+ ['newidthconcatenatelayerfixture',['NEWidthConcatenateLayerFixture',['../namespacearm__compute_1_1test_1_1validation.xhtml#affd6e45f867a420d0557f24c88ce239c',1,'arm_compute::test::validation']]],
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diff --git a/documentation/search/variables_0.js b/documentation/search/variables_0.js
index 9e7cbbc..bef863c 100644
--- a/documentation/search/variables_0.js
+++ b/documentation/search/variables_0.js
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index 4440518..48d587c 100644
--- a/documentation/search/variables_17.js
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index 6bdcbce..c66ae49 100644
--- a/documentation/search/variables_2.js
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index defe402..e3063d4 100644
--- a/documentation/search/variables_3.js
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+ ['cldeconvolutionlayerfixture2x2_3c_20float_20_3e',['CLDeconvolutionLayerFixture2x2< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a74fef0372b85ac0556d59f576c9c2578',1,'arm_compute::test::validation']]],
+ ['cldeconvolutionlayerfixture2x2_3c_20half_20_3e',['CLDeconvolutionLayerFixture2x2< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a551172970e5469af9cacdacd60783137',1,'arm_compute::test::validation']]],
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+ ['cldeconvolutionlayerquantizedfixture2x2_3c_20uint8_5ft_20_3e',['CLDeconvolutionLayerQuantizedFixture2x2< uint8_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#af8e781f7e45f0d687a575d103ed69739',1,'arm_compute::test::validation']]],
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+ ['cldepthwiseconvolutionlayerfixture_3c_20half_20_3e',['CLDepthwiseConvolutionLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2437c44063526d22feb88404f431c5c8',1,'arm_compute::test::validation']]],
+ ['cldepthwiseconvolutionlayerquantizedfixture_3c_20uint8_5ft_20_3e',['CLDepthwiseConvolutionLayerQuantizedFixture< uint8_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a46215efb57d85d73b814e3a5b3f987c2',1,'arm_compute::test::validation']]],
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['clgemmgroupedconvolutionlayerfixture_3c_20half_20_3e',['CLGEMMGroupedConvolutionLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#adda980a6f6ff459cb9b0a1720cd8fbe8',1,'arm_compute::test::validation']]],
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+ ['clgemmmatrixmultiplyreshapedonlyrhsfixture_3c_20half_20_3e',['CLGEMMMatrixMultiplyReshapedOnlyRHSFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7f4ef4d4608046d835a2bdf829b45054',1,'arm_compute::test::validation']]],
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['clgetplatformids_5fptr',['clGetPlatformIDs_ptr',['../classarm__compute_1_1_c_l_symbols.xhtml#aa794227c46c954c6e6684d21af618b00',1,'arm_compute::CLSymbols']]],
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['cllstmlayerfixture_3c_20half_20_3e',['CLLSTMLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5550422830bbd7b8b38e9df1cfc7e157',1,'arm_compute::test::validation']]],
['clmagnitudefixture_3c_20int32_5ft_20_3e',['CLMagnitudeFixture< int32_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5930d371f84eb0c18798b1fdf2881e60',1,'arm_compute::test::validation']]],
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['clmeanstddevfixture_3c_20half_20_3e',['CLMeanStdDevFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#af4daef0996ee4fae0f7e619d510f2760',1,'arm_compute::test::validation']]],
['clnormalizationlayerfixture_3c_20float_20_3e',['CLNormalizationLayerFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a129a1e26d5a015161e1a1affcbad0e55',1,'arm_compute::test::validation']]],
['clpaddingfixture_3c_20half_20_3e',['CLPaddingFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a9a76a99dc39bd0f4667e7475688d049a',1,'arm_compute::test::validation']]],
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['clpaddingfixture_3c_20uint8_5ft_20_3e',['CLPaddingFixture< uint8_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#ad01b9f5c965972a9cf0917cf7abe7a83',1,'arm_compute::test::validation']]],
['clphasefixture_3c_20int32_5ft_20_3e',['CLPhaseFixture< int32_t >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a82d55a0ca3dd9f8dd5613dab35e50b10',1,'arm_compute::test::validation']]],
['clpixelwisemultiplicationbroadcastfixture_3c_20float_20_3e',['CLPixelWiseMultiplicationBroadcastFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e75bd77bb0651928ec6c635c0e2612d',1,'arm_compute::test::validation']]],
['clpixelwisemultiplicationtof32fixture_3c_20float_20_3e',['CLPixelWiseMultiplicationToF32Fixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a7358bbca9e5c79b0b9f8c336fd38c5a1',1,'arm_compute::test::validation']]],
['clpoolinglayerfixture_3c_20half_20_3e',['CLPoolingLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a563e036c5c2976f911c0f33d91f328ec',1,'arm_compute::test::validation']]],
+ ['clquantizationlayerfixture_3c_20half_20_3e',['CLQuantizationLayerFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a2059305e61bbc7aa4bea5ca0cb463fec',1,'arm_compute::test::validation']]],
['clrangefixture_3c_20float_20_3e',['CLRangeFixture< float >',['../namespacearm__compute_1_1test_1_1validation.xhtml#a990f1d5d2348970b3301e3166a404b4f',1,'arm_compute::test::validation']]],
['clrangefixture_3c_20half_20_3e',['CLRangeFixture< half >',['../namespacearm__compute_1_1test_1_1validation.xhtml#aab6ce1adb1c41b7d8fd4ab24b2d8c6f0',1,'arm_compute::test::validation']]],
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+ ['conjugate',['conjugate',['../structarm__compute_1_1_f_f_t_scale_kernel_info.xhtml#a3eedaeae28218786bf093b225accbfe0',1,'arm_compute::FFTScaleKernelInfo::conjugate()'],['../structarm__compute_1_1_f_f_t_digit_reverse_kernel_info.xhtml#a3eedaeae28218786bf093b225accbfe0',1,'arm_compute::FFTDigitReverseKernelInfo::conjugate()']]],
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- ['conv',['conv',['../namespacearm__compute_1_1test_1_1validation.xhtml#adab2e84e4e20f041fdcd075e2864b132',1,'arm_compute::test::validation']]],
+ ['conv',['conv',['../namespacearm__compute_1_1test_1_1validation.xhtml#a006546051719c5fb4b20c966a26b9c76',1,'arm_compute::test::validation']]],
['conv_5fbias_5finfo',['conv_bias_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#a0c672a1c9b4e083cfd8112095bac8a79',1,'arm_compute::test::validation']]],
+ ['conv_5fdataset_5fdft',['conv_dataset_dft',['../namespacearm__compute_1_1test_1_1validation.xhtml#a03c574d14dd0623ae30cf069c53a7f25',1,'arm_compute::test::validation']]],
['conv_5finfo',['conv_info',['../namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf',1,'arm_compute::test::validation']]],
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['convolution',['convolution',['../namespacearm__compute_1_1test_1_1validation.xhtml#ae38161fda91461cff23b750a95e47e6f',1,'arm_compute::test::validation']]],
diff --git a/documentation/search/variables_4.js b/documentation/search/variables_4.js
index 7c29175..b8ee27e 100644
--- a/documentation/search/variables_4.js
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@@ -14,8 +14,11 @@
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['dimz',['DimZ',['../classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc',1,'arm_compute::Window']]],
+ ['direction',['direction',['../structarm__compute_1_1_f_f_t1_d_info.xhtml#a95156d4d94b2a8b7c429e05e546dc2c1',1,'arm_compute::FFT1DInfo::direction()'],['../structarm__compute_1_1_f_f_t2_d_info.xhtml#a95156d4d94b2a8b7c429e05e546dc2c1',1,'arm_compute::FFT2DInfo::direction()']]],
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