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TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("PadStrideInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), 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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), 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TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1746a40504c1600cad5df8b24c2c928e',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make("DepthMultiplier", { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a37cb466fcacd191071bf2d6d4a1dba5e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, true, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7aadc4b7727668e738a6e31fe7a12f3d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), datasets::BorderModes()), framework::dataset::make("Format", Format::U8)), shape, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad4fdf7f045788a948ee31e97a076d639',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make("GpuTarget", { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make("Expected", { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a484fa4160f71724020a18b1c8210fd11',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallDilatedConvolutionLayerDataset(), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2984963251e0e13f3b22490d7d903c85',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0661dab56621eb39f7ed24eef46dd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a44a32dc2e6237db86ca823ac2440b5e7',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#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(), datasets::Large2DShapes()), framework::dataset::make("Format", Format::U8)), framework::dataset::make("SuppressNonMax", { false, true })), framework::dataset::make("BorderMode", BorderMode::UNDEFINED)), shape, format, suppress_nonmax, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ffb413e9772313766b4b43391198db1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(shapes_1d, data_types), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a125a57a33ba8fbeae87a14ce35b20112',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 3, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F16), TensorInfo(TensorShape(16U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), })), framework::dataset::make("Axis", { 0, 0, 0, 2, 0, 0 })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f2fb01edb34ba6ddb05de976663c471',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 3, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F16), TensorInfo(TensorShape(16U, 25U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6977e5dada34102dfca07ad1bd3acc63',1,'arm_compute::test::validation::DATA_TEST_CASE(FillBorder, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::BorderModes()), BorderSizesDataset), PaddingSizesDataset), framework::dataset::make("DataType", DataType::U8)), shape, border_mode, size, padding, 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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, 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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, 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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, 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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), 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#a0840a58374486ee7d8ca3c3eb2c06430',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit, height_values_precommit), channel_values_precommit), batch_values_precommit), kernel_sz_values_precommit), depth_multiplier_values), dilation_values), stride_values), padding_valid_values), data_type_values), data_layout_values), width_value, height_value, channel_value, batch_value, kernel_sz_value, depth_multiplier_value, dilation_value, stride_value, padding_valid_value, data_type_value, data_layout_value)'],['../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#ad0430585d83ec7ac6d5b857415d62906',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a283cdb9d06e3a1a3f1adfd69c8afa313',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, 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#a5cc3776357bdc1a71c8731f249de098c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afc9d454e2284b99075b4362baea8c238',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, 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", { 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, 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total_size)'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a27db011848222cd739c833cd57537632',1,'DATA_TEST_CASE(RoundHalfUp, framework::DatasetMode::ALL, zip(framework::dataset::make("FloatIn", { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make("FloatOut", { 1.f, 1.f, 2.f, 3.f, 3.f, -3.f, -3.f, -4.f, -4.f, -4.f })), value, result): Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a6ef92b04d435ab565a26eeebcdced806',1,'DATA_TEST_CASE(RoundHalfEven, framework::DatasetMode::ALL, zip(framework::dataset::make("FloatIn", { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make("FloatOut", { 1.f, 1.f, 2.f, 2.f, 3.f, -3.f, -4.f, -4.f, -4.f, -4.f })), value, result): Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a4eaacf0c251a42054ef98ad17828ea1a',1,'DATA_TEST_CASE(Index2Coord, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("Shape", { TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U } }), framework::dataset::make("Index", { 0, 1, 2 })), framework::dataset::make("Coordinates", { Coordinates{ 0 }, Coordinates{ 1 }, Coordinates{ 0, 1 } })), shape, index, ref_coordinate): Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a1168f71fb63650656eed1a480243762d',1,'DATA_TEST_CASE(RoundFloatToZero, framework::DatasetMode::ALL, zip(framework::dataset::make("FloatIn", { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make("FloatOut", { 1.f, 1.f, 1.f, 2.f, 2.f, -3.f, -3.f, -3.f, -4.f, -4.f })), value, result): Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a627a856fabfe1b44438ed3cf5b741482',1,'DATA_TEST_CASE(RoundFloatToNearestUp, framework::DatasetMode::ALL, zip(framework::dataset::make("FloatIn", { 1.f, 1.2f, 1.5f, 2.5f, 2.9f, -3.f, -3.5f, -3.8f, -4.3f, -4.5f }), framework::dataset::make("FloatOut", { 1.f, 1.f, 2.f, 3.f, 3.f, -3.f, -4.f, -4.f, -4.f, -5.f })), value, result): Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a694e9cd4762973da6bfc01e10c9e5313',1,'DATA_TEST_CASE(Coord2Index, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("Shape", { TensorShape{ 1U }, TensorShape{ 2U }, TensorShape{ 2U, 3U } }), framework::dataset::make("Coordinates", { Coordinates{ 0 }, Coordinates{ 1 }, Coordinates{ 0, 1 } })), framework::dataset::make("Index", { 0, 1, 2 })), shape, coordinate, ref_index): Utils.cpp'],['../_window_iterator_8cpp.xhtml#acd2ef152b1743c15de3f67238d0eac43',1,'DATA_TEST_CASE(WholeWindow, framework::DatasetMode::ALL, zip(framework::dataset::make("Window", { create_window(Window::Dimension(0, 1)), create_window(Window::Dimension(1, 5, 2), Window::Dimension(3, 5)), create_window(Window::Dimension(4, 16, 4), Window::Dimension(3, 13, 5), Window::Dimension(1, 3, 2)) }), framework::dataset::make("Expected", { create_vector({ Coordinates(0, 0) }), create_vector({ Coordinates(1, 3), Coordinates(3, 3), Coordinates(1, 4), Coordinates(3, 4) }), create_vector({ Coordinates(4, 3, 1), Coordinates(8, 3, 1), Coordinates(12, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1) }) })), window, expected): WindowIterator.cpp'],['../_window_iterator_8cpp.xhtml#a73168adf798e300ad06a0341c1c9bd59',1,'DATA_TEST_CASE(PartialWindow2D, framework::DatasetMode::ALL, zip(zip(zip(combine(framework::dataset::make("Window", create_window(Window::Dimension(4, 20, 4), Window::Dimension(3, 32, 5), Window::Dimension(1, 2, 1))), framework::dataset::make("Start", { 0, 1, 3, 2, 4 })), framework::dataset::make("End", { 0, 2, 5, 8, 7 })), framework::dataset::make("RowSize", { create_vector({ 4 }), create_vector({ 8, 8 }), create_vector({ 4, 8, 8 }), create_vector({ 8, 8, 16, 16, 16, 16, 4 }), create_vector({ 16, 16, 16, 16 }), })), framework::dataset::make("Expected", { create_vector({ Coordinates(4, 3, 1) }), create_vector({ Coordinates(8, 3, 1), Coordinates(12, 3, 1) }), create_vector({ Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1) }), create_vector({ Coordinates(12, 3, 1), Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1), Coordinates(4, 13, 1) }), create_vector({ Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1) }) })), window, start, end, expected_row_size, expected): WindowIterator.cpp']]], |