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DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, false, false, false})), input_info, block_shape_x, block_shape_y, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a984b5038e80bd536684ca2ae23cc567d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad1767a5d935fd8a46e9c006e3782c3bb',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;BoxesInfo&quot;, { TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), TensorInfo(TensorShape(5U, 128U), 1, 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framework::dataset::make(&quot;BoundingBoxTransofmInfo&quot;, { BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 1.f), BoundingBoxTransformInfo(800.f, 600.f, 0.f)})), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false})), boxes_info, pred_boxes_info, deltas_info, bbox_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebb226ba1db8489dcf15c6af89835f61',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), datasets::BorderModes()), shape, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04582bdd10e46245471f749ce701a35b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, normalization, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a17a8f5af696f2a516279c6a9ed7c8c82',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;NumGroups&quot;,{ 1, 2, 2, 4, 3, 2, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true})), input_info, output_info, num_groups, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af01e7379b497c6925355012544f57008',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a89dea49d6442ce20e618d1a736c8f854',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 12U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvolvedWidth&quot;, { 3, 3, 3, 3 })), framework::dataset::make(&quot;ConvolvedHeight&quot;, { 4, 4, 4, 4 })), framework::dataset::make(&quot;NumGroups&quot;, { 1, 1, 1, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, convolved_width, convolved_height, num_groups, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a63e53b554dd67e816487c7313f7a0b99',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGBA_to_RGB), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2c6e504f8c7a20e65a54ec87fb1a6587',1,'arm_compute::test::validation::DATA_TEST_CASE(RGB, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_RGBA), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8ff15f7408a55dffbf9aa6c956805cf0',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBtoU8, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGB_to_U8), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac65df939da2cfd7e0afd5f8c69e24cc9',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUYV_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3672b13658f3d8fc31be77f9c121fc3',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUVPlanar_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1cb6baaad52a436770c6e1fe25443b33',1,'arm_compute::test::validation::DATA_TEST_CASE(NV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_RGBDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afbb8b943e957bb805a291dfab75617c6',1,'arm_compute::test::validation::DATA_TEST_CASE(YUYVtoNV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_NVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad66aa3197275df9b5ad79f3bb111f3fa',1,'arm_compute::test::validation::DATA_TEST_CASE(NVtoYUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_NVDataset_to_YUVDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ffd8a361da1357b6142d3858ca1b76e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::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(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a99099c34e332efb70e1685e0f35833a4',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, configure_dataset, shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a482f48e436d396077b8b6eef81b05dd8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 42U), 1, DataType::F16), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), })), framework::dataset::make(&quot;OriginalInput&quot;, { TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), TensorShape(7U, 3U, 2U), })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NCHW, DataLayout::NCHW, DataLayout::UNKNOWN, })), framework::dataset::make(&quot;Expected&quot;, { false, true, false, false})), input_info, output_info, original_input_shape, data_layout, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a173d919e5152583a4b2b0ea82f937d47',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })), shape, output_data_type, border_mode, filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a20c992ef5f3ed415c1e5a5a3ab19287d',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 31U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 32U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0), PadStrideInfo(1, 1, 2, 2), PadStrideInfo(1, 1, 2, 2) })), framework::dataset::make(&quot;GpuTarget&quot;, { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 1U), })), framework::dataset::make(&quot;EnableFastMath&quot;, { false, false, false, false, false, false, true, true })), framework::dataset::make(&quot;Expected&quot;,{ ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#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(&quot;InputInfo&quot;, { 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(&quot;OutputInfo&quot;,{ 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(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a04e62cc8a8ee2c1853ae213dc465c9be',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::U8), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), }), framework::dataset::make(&quot;BoxesInfo&quot;,{ TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(3, 20), 1, DataType::F32), })), framework::dataset::make(&quot;BoxIndInfo&quot;,{ TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(10), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 10U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::S32), TensorInfo(TensorShape(5U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false, false})), input, boxes, box_ind, output, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a09dfd649bde45b9abda8b839a0c84e1c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PadStrideInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, pad_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a378b53971fc5c47dc3205c5cbe769a24',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 3U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) }), framework::dataset::make(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 9U), 1, DataType::F16), TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a308fdbbdd8acf151212546da812f9241',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::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(&quot;OutputInfo&quot;,{ 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(&quot;Policy&quot;,{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make(&quot;Shift&quot;,{ 1, 1, 8, 1, 1, 1, })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;ConvertPolicy&quot;, { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), DepthConvertLayerShiftDatasetNightly), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3e4970f770f23aaa759017adf107da3e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 8U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 4U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShape&quot;, { 2, 1, 2, 2, 2 })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 16U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(64U, 16U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false})), input_info, block_shape, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed5f7a9b1bde3cc3a789cd674974e254',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), TensorInfo(TensorShape(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(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(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(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(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(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(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(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(20U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;InputInfo&quot;, { 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(&quot;OutputInfo&quot;,{ 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(&quot;Expected&quot;, { 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(&quot;Format&quot;, 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;GpuTarget&quot;, { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(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(&quot;BiasesInfo&quot;,{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab0661dab56621eb39f7ed24eef46dd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { 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(&quot;Input1Info&quot;, { 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(&quot;Input2Info&quot;,{ 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(&quot;OutputInfo&quot;,{ 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(&quot;Expected&quot;, { true, true, false, false, false})), 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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(&quot;InputInfo&quot;, { 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(&quot;OutputInfo&quot;,{ 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(&quot;Axis&quot;, { 0, 0, 0, 2, 0, 0 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3f2fb01edb34ba6ddb05de976663c471',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { 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(&quot;OutputInfo&quot;,{ 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(&quot;Expected&quot;, { 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(&quot;DataType&quot;, DataType::U8)), shape, border_mode, size, padding, 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expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a44b43a2397a2845c12d9d56b727ef233',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallFullyConnectedLayerDataset(), FullyConnectedParameters), CNNDataTypes), src_shape, weights_shape, bias_shape, dst_shape, transpose_weights, reshape_weights, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3affe19462bcddbd9d6ca29c1e47594',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;,{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), })), framework::dataset::make(&quot;TransposeWeights&quot;,{ true, true, false, true, true })), framework::dataset::make(&quot;ReshapedWeights&quot;,{ false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;, { false, true, true, false, false })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79ab40d66042668672184704ffc8b86e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), }), framework::dataset::make(&quot;IndicesInfo&quot;, { TensorInfo(TensorShape(10U), 1, DataType::U32), 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(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(10U, 27U), 1, DataType::F16), 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(&quot;Axis&quot;, { 0, 1, -2, 0, 1, 0, 1, 2, -3, })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, false, false, false, false, false, false })), input_info, indices_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ccc6ea082b6287dae84dde7ef79b14c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), input_shape, indices_shape, axis, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a370c6df0823b292ef89726547ce83cc0',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, 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add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a90ac4c27e9f0e7cf32c410de2437e69a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QSYMM16), TensorInfo(TensorShape(21U, 13U), 1, DataType::QSYMM16), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), })), framework::dataset::make(&quot;Min&quot;,{ -205, -60000, -180, })), framework::dataset::make(&quot;Max&quot;,{ 205, 60000, 180, })), framework::dataset::make(&quot;Expected&quot;, { true, false, false })), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4d3c9e02957ee26d5d6bbb90b77c18ca',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), framework::dataset::make(&quot;batch_size&quot;, 1)), m0_values_precommit), n0_values_precommit), k0_values_precommit), h0_values_precommit), i_values_rhs), m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a56bd12c9e519d90c9de48040fd31ee06',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(m_values_precommit, n_values_precommit), k_values_precommit), framework::dataset::make(&quot;batch_size&quot;, 1)), broadcast_bias_values), framework::dataset::make(&quot;fp16_mixed_precision&quot;, false)), act_values), data_type_values), gpu_arch_values), m_value, n_value, k_value, b_value, broadcast_bias, fp16_mixed_precision_value, act_value, data_type_value, gpu_arch_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2bf636a19de5e89862eb52c33d13038',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values_precommit, n_values_precommit), k_values_precommit), framework::dataset::make(&quot;batch_size&quot;, 1)), v0_values_precommit), h0_values_precommit), broadcast_bias_values), framework::dataset::make(&quot;fp16_mixed_precision&quot;, false)), act_values), data_type_values), gpu_arch_values), m_value, n_value, k_value, b_value, v0_value, h0_value, broadcast_bias, fp16_mixed_precision_value, act_value, data_type_value, gpu_arch_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a254547d84a14587cf08a01c66f9bdf85',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), framework::dataset::make(&quot;batch_size&quot;, 1)), m0_values_precommit), n0_values_precommit), k0_values_precommit), broadcast_bias_values), act_values), m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, broadcast_bias, act_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9dbbbf4f1b10c92df49a2dd7d8384cc5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), framework::dataset::make(&quot;batch_size&quot;, 1)), m0_values_precommit), n0_values_precommit), k0_values_precommit), v0_values_precommit), h0_values_precommit), i_values_lhs), i_values_rhs), broadcast_bias_values), act_values), m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, v0_value, h0_value, i_value_lhs, i_value_rhs, broadcast_bias, act_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af167b45be9da3b482a173372e0601609',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(m_values, n_values), k_values), framework::dataset::make(&quot;batch_size&quot;, 1)), m0_values_precommit), n0_values_precommit), k0_values_precommit), h0_values_precommit), i_values_rhs), t_values_rhs), broadcast_bias_values), act_values), m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs, t_value_rhs, broadcast_bias, act_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adb8ee580efcdf567d6a4dae88c475000',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationSmall, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), m0_values_precommit), k0_values_precommit), v0_values), i_values), t_values), shape_in, b_value, data_type, m0_value, k0_value, v0_value, i_value, t_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaa7f83bdb36e6941d35892103ce3efe9',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationLarge, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape2DShapes(), b_values), data_types), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values), shape_in, b_value, data_type, m0_value, k0_value, v0_value, i_value, t_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac4f254c02834487267671c337e62f0e0',1,'arm_compute::test::validation::DATA_TEST_CASE(ConfigurationLarge, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeGEMMReshape3DShapes(), b_values), data_types), m0_values_nightly), k0_values_nightly), v0_values), i_values), t_values), shape_in, b_value, data_type, m0_value, k0_value, v0_value, i_value, t_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#adcadccb845be881a26d1255fd80c3e08',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration0, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), n0_values_nightly), k0_t_values_nightly), h0_values), i_values), shape_in, b_value, data_type, n0_value, k0_value, h0_value, i_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7b5d13a6ee6b773fc732ec5579bf6132',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration1, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallGEMMReshape2DShapes(), b_values), data_types), n0_values_nightly), k0_nt_values_nightly), h0_values), i_values), shape_in, b_value, data_type, n0_value, k0_value, h0_value, i_value)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a70d260ea6070965cb0bab9d6559abb28',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;scores&quot;, { TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16)}), framework::dataset::make(&quot;deltas&quot;,{ TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32)})), framework::dataset::make(&quot;anchors&quot;, { TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), TensorInfo(TensorShape(4U, 9U), 1, DataType::F32)})), framework::dataset::make(&quot;proposals&quot;, { TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(5U, 100U *100U *9U), 1, DataType::F32)})), framework::dataset::make(&quot;scores_out&quot;, { TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32), TensorInfo(TensorShape(100U *100U *9U), 1, DataType::F32)})), framework::dataset::make(&quot;num_valid_proposals&quot;, { TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), TensorInfo(TensorShape(1U, 10U), 1, DataType::U32), TensorInfo(TensorShape(1U, 1U), 1, DataType::F16)})), framework::dataset::make(&quot;generate_proposals_info&quot;, { GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f), GenerateProposalsInfo(10.f, 10.f, 1.f)})), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false })), scores, deltas, anchors, proposals, scores_out, num_valid_proposals, generate_proposals_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c31e08a7ec435be0c95597312bdc876',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseAllAnchors, framework::DatasetMode::ALL, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 }), data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae0d8f91f0b1c186d8af5621eacd01594',1,'arm_compute::test::validation::DATA_TEST_CASE(IntegrationTestCaseGenerateProposals, framework::DatasetMode::ALL, combine(framework::dataset::make(&quot;DataType&quot;, { DataType::F32 }), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4a52a920e879bf84c11e62764a9500c9',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data_nightly), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab643382ce12afed7780a6707991da1dd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1df3843c8077aad2f1daacc093cbff1b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 2U, 1U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;HasBias&quot;, { true, true, true, false })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae42ced23c3e427fa851c1ce7fcabfb60',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16), TensorInfo(TensorShape(256U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0, 0, 0, 0, static_cast&lt; int &gt;(TensorShape::num_max_dimensions), 3, -2, 0 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true, true, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5a74612ce9f8b898bc171800b13fb3e2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_pyramid_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a74496771d90a70769feaa5739daf9622',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), large_laplacian_reconstruct_levels), shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a876889712d97367ca5ed4b922705fc6e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(1U, 3U, 5U, 21U, 575U), 1, DataType::F32) })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 575U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(23U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make(&quot;PadStride&quot;, { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 1, 0, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b7abb0d97c0768de8e5e1976cd2805',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallLocallyConnectedDataset(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(8U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;InputWeightsInfo&quot;, { TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(8U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), })), framework::dataset::make(&quot;CellBiasInfo&quot;, { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make(&quot;ProjectionBiasInfo&quot;, { TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), framework::dataset::make(&quot;CellStateInfo&quot;, { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ScratchInfo&quot;, { TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 2U), 1, DataType::F32), TensorInfo(TensorShape(12U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false })), input_info, input_weights_info, recurrent_weights_info, cell_bias_info, projection_bias_info, cell_state_info, output_info, scratch_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a757766423c4a26da3e4422e496617b8a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { 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(&quot;InputInfo&quot;, { 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(&quot;Expected&quot;, { 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(&quot;DataType&quot;, { DataType::U8 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a315ab8ee116b2cafc206479b69d09edb',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, output_info, expected)'],['../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(&quot;MaskSize&quot;, { 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;NormInfo&quot;, { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa3cae9fc421a796d441b8bca1d0cc074',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;DataLayout&quot;, { 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(&quot;InputInfo&quot;, { 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(&quot;OutputInfo&quot;,{ 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(&quot;MSTDInfo&quot;,{ 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(&quot;Expected&quot;, { 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;,{ 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(&quot;PaddingSize&quot;, { 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(&quot;PaddingMode&quot;, { PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::SYMMETRIC, PaddingMode::REFLECT, PaddingMode::REFLECT })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(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(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 7U), 1, DataType::U8), TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32), 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(&quot;PermutationVector&quot;, { PermutationVector(2U, 1U, 0U), PermutationVector(2U, 2U, 1U), PermutationVector(1U, 1U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(2U, 0U, 1U), PermutationVector(1U, 2U, 0U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(3U, 2U, 0U, 1U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(2U, 3U, 1U, 0U), PermutationVector(0U, 0U, 0U, 1000U) })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d8ceb03a628fbc166c979678ab5ceef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Scale&quot;,{ 2.f, 2.f, 2.f, -1.f, 1.f, 1.f})), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a47c98d948b32f0d1996681eef38f80d6',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::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(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(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(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8d47360b71b942aa8a57912b3b1d7d3c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(1200U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1000U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PriorBoxInfo&quot;,{ PriorBoxLayerInfo(std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), 0, true, true, std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), Coordinates2D{8, 8}, std::array&lt; float, 2 &gt;()), PriorBoxLayerInfo(std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), 0, true, true, std::vector&lt; float &gt;(1), std::vector&lt; float &gt;(1), Coordinates2D{8, 8}, std::array&lt; float, 2 &gt;()), })), framework::dataset::make(&quot;Expected&quot;, { true, false})), input1_info, input2_info, output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6f73439f86a03a533e8dcca2644e965b',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U16), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make(&quot;DataType&quot;, DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae54270fd6f7436ab14dfef4910984a5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;OutputInfo&quot;, { 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::U8), }), framework::dataset::make(&quot;Start&quot;,{ 0.0f, 15.0f, 1500.0f, 100.0f, -15.0f, 0.2f, 2.0f, 10.0f})), framework::dataset::make(&quot;End&quot;,{ 100.0f, 15.0f, 2500.0f, -1000.0f, 15.0f, 10.0f, 10.0f, 100.0f })), framework::dataset::make(&quot;Step&quot;,{ 100.0f, 15.0f, 10.0f, 100.0f, -15.0f, 1.0f, 0.0f, 10.0f })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true, })), output_info, start, end, step, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a13b0c3565b30f4234d850c64a2a6ea89',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { Coordinates(4), Coordinates(0, 2), Coordinates(2) })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6a5f79b26e653290a01b9b4d931ff268',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 3, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { 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::QASYMM8), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make(&quot;Axis&quot;, { 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 1U, 0U })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa2468a9d9dc7b6450258bbb8eff28390',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb0b52b4f9be21c5363b9843ba2b496e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::S64), TensorInfo(TensorShape(5U, 6U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 6U, 2, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F16), })), framework::dataset::make(&quot;Stride&quot;, { 2, 2, 4, 3 })), framework::dataset::make(&quot;Expected&quot;, { false, true, false, true, false })), input_info, output_info, stride, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5551196e8727559372e22f031924b920',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32, DataType::F16, DataType::QASYMM8 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape, stride, data_type, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af8870dc8041b8433f43da5ec26e5dada',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F16), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(8U, 24U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#affdcdb0eb8b772707770affb973a6efe',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { 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(&quot;OutputInfo&quot;, { 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(&quot;AxisInfo&quot;,{ 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(&quot;Expected&quot;, { false, false, false, false, true, true})), src_info, dst_info, axis_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae9a599036cbe43ea19a36c05257d5f87',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), })), framework::dataset::make(&quot;HiddenStateInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53125733acb5d4157ebb4b2f191433b3',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), }), framework::dataset::make(&quot;RoisInfo&quot;, { TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F16), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 10U), 1, DataType::F32), TensorInfo(TensorShape(4, 4U), 1, DataType::F32), TensorInfo(TensorShape(5, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F16), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 3U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), ROIPoolingLayerInfo(7U, 7U, 1./8), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false, false })), input_info, rois_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1191ea29766e411ab8173ae62e84a69e',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, true, false })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7e5b7cad90ebb803b5134d7577b34bc1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F32), TensorInfo(TensorShape(36U, 36U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(40U, 35U, 2U, 4U), 1, DataType::S16), TensorInfo(TensorShape(37U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(37U, 37U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(28U, 33U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 68U, 2U), 1, DataType::F16), TensorInfo(TensorShape(40U, 56U, 2U), 1, DataType::F32), TensorInfo(TensorShape(40U, 76U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(28U, 32U, 2U, 4U), 1, DataType::S16), TensorInfo(TensorShape(39U, 55U, 2U), 1, DataType::F32), TensorInfo(TensorShape(39U, 77U, 3U, 4U), 1, DataType::F16), TensorInfo(TensorShape(26U, 21U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Policy&quot;,{ InterpolationPolicy::BILINEAR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::AREA, })), framework::dataset::make(&quot;BorderMode&quot;,{ BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, true, false, false, false })), input_info, output_info, policy, border_mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a97e496b2dd035ddb737c9e2d3c71a381',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::MediumShapes(), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aebc10ebaa1aa56ca405a5bc8b7e11026',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;CInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(13U), 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(&quot;XInfo&quot;,{ 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, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;YInfo&quot;,{ 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::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, true})), c_info, x_info, y_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#acb8fd2b1ee77b9b379853485bb429217',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, run_small_dataset, shape, same_rank)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a87d9f386f53d15a1403514f8dcc059bd',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Starts&quot;, { Coordinates(3, 1, 0), Coordinates(-3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })), framework::dataset::make(&quot;Ends&quot;, { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, 3, 1) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, starts, ends, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a771a5631851d0b049d2c941a4f22ecd5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, starts, ends, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab4c6b8066352bd78793a4673ccedfb8c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SoftmaxLayerSmallShapes(), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa43a1389ad43d3659384478c104f81e4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true, true })), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa74a3f0a9e477b5898cf4d90d62be712',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::S32), })), framework::dataset::make(&quot;PaddingsShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, block_shape_info, paddings_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3755ce4968ad7506cb512f5b236330e',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeX&quot;, { 2, 2, 2, 2, 2 })), framework::dataset::make(&quot;BlockShapeY&quot;, { 2, 2, -2, 2, 2 })), framework::dataset::make(&quot;PadLeft&quot;, { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), framework::dataset::make(&quot;PadRight&quot;, { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false})), input_info, block_shape_x, block_shape_y, padding_left, padding_right, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaae24f1bccebf8119e41f18e1c7fd8d5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 8U, 8U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 8U, 1U), 1, DataType::F16), TensorInfo(TensorShape(32U, 8U, 8U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 8U, 8U, 1U), 1, DataType::F32), })), framework::dataset::make(&quot;BlockShape&quot;, { 2, 2, -2, 2 })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), input_info, output_info, block_shape, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af0b36b976c5b2f378f229b4c9db95170',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Axis&quot;, { 4, 2, 2 })), framework::dataset::make(&quot;Splits&quot;, { 4, 5, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, true })), input_info, axis, splits, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1ed1389e2305dbba938bf6b9b95b0e3a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallSplitDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, axis, splits, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa592247e90b4ec742ec8d73842c391e1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U), 1, DataType::U8)}, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U, 3U, 8U, 2U), 1, DataType::S32)}, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), TensorInfo(TensorShape(1U, 3U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), })), framework::dataset::make(&quot;Axis&quot;, { -3, 1, -4, -3, 1 })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false })), input_info, output_info, axis, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afcdb062eabf45af9f84aa11d0f74dc6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;Starts&quot;, { Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })), framework::dataset::make(&quot;Ends&quot;, { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, -1, 1), Coordinates(13, 3, 1) })), framework::dataset::make(&quot;Strides&quot;, { BiStrides(2, 1, 1), BiStrides(2, 0, 1), BiStrides(2, 1, 1), BiStrides(2, -1, 1), BiStrides(2, 1, 1) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, starts, ends, strides, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af3e78a742ac6ca0a855fad18d4f3cdb3',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(arm_compute::test::datasets::SmallStridedSliceDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16, DataType::F32 })), shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a302f7eee312512ab90d7ae61eeaff396',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), datasets::MixedThresholdDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), shape, threshold, false_value, true_value, type, upper, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4e33546f75c1de3f66b180c270465d66',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10, 10), 1, DataType::F32), TensorInfo(TensorShape(10, 10), 1, DataType::F32), TensorInfo(TensorShape(10, 10), 1, DataType::F16), TensorInfo(TensorShape(10, 10), 1, DataType::F32)}), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(10, 20), 1, DataType::F32), TensorInfo(TensorShape(20, 20), 1, DataType::F32), TensorInfo(TensorShape(20, 20), 1, DataType::F32), TensorInfo(TensorShape(10, 20), 1, DataType::F32)})), framework::dataset::make(&quot;Multiples&quot;,{ Multiples{1, 2}, Multiples{1, 2}, Multiples{0, 1} })), framework::dataset::make(&quot;Expected&quot;, {true, false, false, false })), input_info, output_info, multiples, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a36db9499786f252198703486e5d1cd71',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(20U, 13U), 1, DataType::U32), TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), TensorInfo(TensorShape(20U, 16U), 1, DataType::U32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(13U, 21U), 1, DataType::U8), TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), TensorInfo(TensorShape(13U, 20U), 1, DataType::U32), TensorInfo(TensorShape(31U, 20U), 1, DataType::U16), TensorInfo(TensorShape(16U, 20U), 1, DataType::U32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), a_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ceb73ac4972a242438dc2ada29ecb2d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0ccbbd6a9efa693cbd9ad13cafef40f1',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(13U, 7U, 5U), 1, DataType::S16), TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;, { std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::U8) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S16) }, std::vector&lt; TensorInfo &gt;{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, })), framework::dataset::make(&quot;Axis&quot;, { -3, 3, -4, -3, 1, 1 })), framework::dataset::make(&quot;Num&quot;, { 1, 1, 1, 1, 0, 1 })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, true, false, false })), input_info, output_info, axis, num, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a778b3df465ed2c9457feb9ea872f0ca9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16), TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2), Size2D(2, 2), Size2D(1, 1), Size2D(2, 2), Size2D(2, 2), })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, pad_info, upsampling_policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a79f123bc8a8556c3147f80b968ba2d38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a93528474c38e7f0a40c7668b34e4c45a',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::U8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(4U), 1, DataType::U8), TensorInfo(TensorShape(4U), 1, DataType::F16), TensorInfo(TensorShape(4U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(4U, 19U), 1, DataType::U8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F16), TensorInfo(TensorShape(4U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(4U, 19U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, biases_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afb8240666f7c1c72ff9cd4c38a0b7971',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo1&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(21U, 35U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(10U, 35U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16), TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(31U, 35U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefe657be35a4c7ad0cd478735e9ced36',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32), TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(2, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 33U), PadStrideInfo(1, 1, 0, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(34U, 42U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(31U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, output_info, winograd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45b09270b4877361f007dd6f4320d2f4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U16), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 11U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), })), framework::dataset::make(&quot;Numclasses&quot;, { 1, 1, 1, 0, 1, 1, 1, 1 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true})), input_info, output_info, act_info, num_classes, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9319d62cd0f2627f92929d302d685f38',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;BoxEncodingsInfo&quot;, { TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::S8), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::QASYMM8)}), framework::dataset::make(&quot;ClassPredsInfo&quot;,{ TensorInfo(TensorShape(3U, 10U), 1, DataType::F32), TensorInfo(TensorShape(3U, 10U), 1, DataType::F32), TensorInfo(TensorShape(3U, 10U), 1, DataType::F32), TensorInfo(TensorShape(3U, 10U), 1, DataType::F32), TensorInfo(TensorShape(3U, 10U), 1, DataType::F32), TensorInfo(TensorShape(3U, 10U), 1, DataType::QASYMM8)})), framework::dataset::make(&quot;AnchorsInfo&quot;,{ TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 10U, 1U), 1, DataType::QASYMM8)})), framework::dataset::make(&quot;OutputBoxInfo&quot;, { TensorInfo(TensorShape(4U, 3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 3U, 1U), 1, DataType::S8), TensorInfo(TensorShape(4U, 3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(1U, 5U, 1U), 1, DataType::F32), TensorInfo(TensorShape(4U, 3U, 1U), 1, DataType::F32)})), framework::dataset::make(&quot;OuputClassesInfo&quot;,{ TensorInfo(TensorShape(3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(6U, 1U), 1, DataType::F32)})), framework::dataset::make(&quot;OutputScoresInfo&quot;,{ TensorInfo(TensorShape(3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(3U, 1U), 1, DataType::F32), TensorInfo(TensorShape(6U, 1U), 1, DataType::F32)})), framework::dataset::make(&quot;NumDetectionsInfo&quot;,{ TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32)})), framework::dataset::make(&quot;DetectionPostProcessLayerInfo&quot;,{ DetectionPostProcessLayerInfo(3, 1, 0.0f, 0.5f, 2, {0.1f, 0.1f, 0.1f, 0.1f}), DetectionPostProcessLayerInfo(3, 1, 0.0f, 0.5f, 2, {0.1f, 0.1f, 0.1f, 0.1f}), DetectionPostProcessLayerInfo(3, 1, 0.0f, 0.5f, 2, {0.1f, 0.1f, 0.1f, 0.1f}), DetectionPostProcessLayerInfo(3, 1, 0.0f, 1.5f, 2, {0.0f, 0.1f, 0.1f, 0.1f}), DetectionPostProcessLayerInfo(3, 1, 0.0f, 0.5f, 2, {0.1f, 0.1f, 0.1f, 0.1f}), DetectionPostProcessLayerInfo(3, 1, 0.0f, 0.5f, 2, {0.1f, 0.1f, 0.1f, 0.1f})})), framework::dataset::make(&quot;Expected&quot;, {true, false, false, false, false, false })), box_encodings_info, classes_info, anchors_info, output_boxes_info, output_classes_info, output_scores_info, num_detection_info, detect_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af2967f780bdc7641cc752b34ab56dcfe',1,'arm_compute::test::validation::DATA_TEST_CASE(Real, framework::DatasetMode::ALL, shapes_1d_dft, shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7911504775931fa5b66c9a446dd9f83a',1,'arm_compute::test::validation::DATA_TEST_CASE(Complex, framework::DatasetMode::ALL, shapes_1d_dft, shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee1e1d413bf240fdc67ee001d37f3854',1,'arm_compute::test::validation::DATA_TEST_CASE(Complex, framework::DatasetMode::ALL, shapes_2d_dft, shape)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c04187b148810b65acce6528c9b83be',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;BoundingBox&quot;,{ TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(1U, 4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::S32), TensorInfo(TensorShape(4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 66U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), }), framework::dataset::make(&quot;Scores&quot;, { TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::U8), TensorInfo(TensorShape(66U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::F32), })), framework::dataset::make(&quot;Indices&quot;, { TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::S32), TensorInfo(TensorShape(3U), 1, DataType::S32), TensorInfo(TensorShape(200U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::F32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), TensorInfo(TensorShape(100U), 1, DataType::S32), })), framework::dataset::make(&quot;max_output&quot;, { 10U, 2U, 4U, 3U, 66U, 1U, 0U, 10000U, 100U, 10U, })), framework::dataset::make(&quot;score_threshold&quot;, { 0.1f, 0.4f, 0.2f, 0.8f, 0.3f, 0.01f, 0.5f, 0.45f, -1.f, 0.5f, })), framework::dataset::make(&quot;nms_threshold&quot;, { 0.3f, 0.7f, 0.1f, 0.13f, 0.2f, 0.97f, 0.76f, 0.87f, 0.1f, 10.f, })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, true, false, false, true, false, false })), bbox_info, scores_info, indices_info, max_out, score_threshold, nms_threshold, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a822e5814a7ccc966d5bac4d5f2fb0ebe',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;PredictionsInfo&quot;, { TensorInfo(TensorShape(20, 10), 1, DataType::F32), TensorInfo(TensorShape(10, 20), 1, DataType::F16), TensorInfo(TensorShape(20, 10), 1, DataType::S8), TensorInfo(TensorShape(10, 10, 10), 1, DataType::F32), TensorInfo(TensorShape(20, 10), 1, DataType::F32)}), framework::dataset::make(&quot;TargetsInfo&quot;,{ TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32), TensorInfo(TensorShape(10), 1, DataType::U32)})), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(10), 1, DataType::U8), TensorInfo(TensorShape(1), 1, DataType::U8)})), framework::dataset::make(&quot;k&quot;,{ 0, 1, 2, 3, 4 })), framework::dataset::make(&quot;Expected&quot;, {true, false, false, false, false })), prediction_info, targets_info, output_info, k, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7adca64f0e6de4b6f9ce64c45412fe6d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make(&quot;InPlace&quot;, { false, true })), shape, data_type, in_place)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe83a791686e736dc7955008a7cf5879',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), data_GB), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 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data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752981762f5617f513d6f1aaf41c1380',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes), shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a539c8825b54233673d99ba188a6bcc49',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), shape0, shape1, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7a6be9a28cd340cd10813b2be8d1a6ef',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::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(27U, 13U, 2U), 1, DataType::F16), }), framework::dataset::make(&quot;OutputInfo&quot;,{ 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(30U, 11U, 2U), 1, DataType::F16), })), framework::dataset::make(&quot;MSTDInfo&quot;,{ 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::F16), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, false, false })), input_info, output_info, msd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae904c8bf0b18987aa7ed5dba0d3c60d8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a21aee323ab2c48634afcdaa5d1d87901',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR })), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0a2ea332437f7dbd127adafbdb4d86b6',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SoftmaxLayerSmallShapes(), datasets::SoftmaxLayerLargeShapes()), CNNDataTypes), shape, 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DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, true, false})), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ed8b4681b5e026cbac93b871e7ade81',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a941173879bda166e543430ccddfcd4e4',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(1U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a61baee04220ea86b55dfa9e70d874cec',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;ConvertPolicy&quot;,{ ConvertPolicy::WRAP, ConvertPolicy::SATURATE, ConvertPolicy::WRAP, ConvertPolicy::SATURATE, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false, false})), input1_info, input2_info, output_info, policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a88360f5eb70b5f76d59e02b0f36d7b08',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallRandomBatchNormalizationLayerDataset(), combine(framework::dataset::make(&quot;UseBeta&quot;, { false, true }), framework::dataset::make(&quot;UseGamma&quot;, { false, true }))), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab62d37f727e4d9bcafb222b2d203acf8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationLayerInfo&quot;,{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false, false, false})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6dfffa3ac67a2f59c9a5baee840651fd',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Weights&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, false})), weights_info, mvbg_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae52bb8e9114b30c87b30348b1d4deab5',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;BlockShapeInfo&quot;,{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 4U), 1, DataType::S32), TensorInfo(TensorShape(4U, 2U), 1, DataType::S32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, true, false, false, false})), input_info, block_shape_info, output_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(&quot;Format&quot;, 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(&quot;FormatType&quot;, { Format::RGB888, Format::RGBA8888 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aefb03bbb428b161af375b97d075c9a13',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::YUYV422, Format::UYVY422 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aae6e852b77301ed37776a2f7cd93b064',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make(&quot;FormatType&quot;, { Format::IYUV, Format::YUV444, Format::NV12, Format::NV21 })), shape, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a2d3d6603060724a479df2b5e1a24e3e9',1,'arm_compute::test::validation::DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ChannelExtractRGBADataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a495f878ba4ab95e9d3f8a151b502f059',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ChannelExtractYUVDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a408064ad787f5a169b92c8bc6a88488a',1,'arm_compute::test::validation::DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ChannelExtractYUVPlanarDataset), shape, format, channel)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a62d4f856c1a8891d8461f191eed5bd9d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F32 })), shape, num_groups, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6febcfe6c8584f2def828a3cd49d1531',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvolvedWidth&quot;, { 3, 3, 3, 3, 3 })), framework::dataset::make(&quot;ConvolvedHeight&quot;, { 4, 4, 4, 4, 4 })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true })), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a29cffdb4cc566d262e1150a4e8375d49',1,'arm_compute::test::validation::DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), ColorConvert_YUYVDataset_to_RGBDataset), shape, src_format, dst_format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac16ee018eeceda8c06745acee046d421',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa6abee4ae21d2aaf1c234617ac5bca19',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, { DataType::U8, DataType::S16 })), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;, { 3 })), shape, output_data_type, border_mode, filter_size)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a53950503f84613370c1874e9ec36f738',1,'arm_compute::test::validation::DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32), TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;FastMath&quot;, { true, true, false, false })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab44b66bad182905ba55f96ee494e8e73',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Expected&quot;, { false, false, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a71b2bcfadb2d0be741a44200a2940692',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL,(combine(datasets::SmallDeconvolutionShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32))), input_shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a5c75c90dfaf4c3c6a8c246b7c898af50',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Policy&quot;,{ ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, ConvertPolicy::WRAP, })), framework::dataset::make(&quot;Shift&quot;,{ 1, 1, 1, 1, 1, 1, 8, 1, })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;ConvertPolicy&quot;, { 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 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(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::S32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), TensorInfo(TensorShape(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(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(24U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(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(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0), })), framework::dataset::make(&quot;DepthMultiplier&quot;, { 1, 1, 3, 1, 1, 1, 2, 2, 2, 3, })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(25U, 1U), Size2D(0U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(8U, 8U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make(&quot;Dilation&quot;, { Size2D(1U, 2U), Size2D(2U, 1U), Size2D(2U, 2U), Size2D(3U, 3U) })), framework::dataset::make(&quot;Expected&quot;, { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a69ea3c5dd19aaf289330db00e8cd20a8',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasesInfo&quot;,{ TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), TensorInfo(TensorShape(3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(3, 3, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, false, false })), input_info, weights_info, biases_info, output_info, conv_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad0430585d83ec7ac6d5b857415d62906',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, 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(&quot;Input1Info&quot;, { 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(&quot;Input2Info&quot;,{ 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(&quot;OutputInfo&quot;,{ 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(&quot;Expected&quot;, { 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(&quot;Input1Info&quot;, { 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(&quot;Input2Info&quot;,{ 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(&quot;OutputInfo&quot;,{ 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(&quot;Expected&quot;, { 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(&quot;InputInfo&quot;, { 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(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), TensorInfo(TensorShape(64U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;,{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(192U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), })), framework::dataset::make(&quot;TransposeWeights&quot;,{ true, true, false, true, true, true })), framework::dataset::make(&quot;ReshapedWeights&quot;,{ false, false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;, { false, true, true, false, false, true })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa1ce956bb3fa59263550acbad4f07423',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { 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(&quot;IndicesInfo&quot;, { 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(&quot;OutputInfo&quot;, { 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(&quot;Axis&quot;, { 0, 1, -2, 0, 1, 0, 1, 2, -3, })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;DataType&quot;, { 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(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), TensorInfo(TensorShape(16U, 32U), 1, DataType::QASYMM8, QuantizationInfo(1.f/255, 10)), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(33U, 21U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), TensorInfo(TensorShape(64U, 16U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 10)), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(33U, 13U), 1, DataType::S32), TensorInfo(TensorShape(8U, 11U), 1, DataType::S32), TensorInfo(TensorShape(64U, 32U), 1, DataType::S32), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), a_info, b_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a39e8116f6234a2d52f9c819fe6ca1c90',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), })), framework::dataset::make(&quot;Min&quot;,{ 0, 8, 13, })), framework::dataset::make(&quot;Max&quot;,{ 205, 300, 180, })), framework::dataset::make(&quot;Expected&quot;, { true, false, false })), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a45dfda69a9789e4e69365236d1dfcc35',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputAInfo&quot;, { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), }), framework::dataset::make(&quot;InputBInfo&quot;,{ TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(21U), 1, DataType::S32), TensorInfo(TensorShape(20U), 1, DataType::S32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QSYMM16), TensorInfo(TensorShape(21U, 13U), 1, DataType::QSYMM16), TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), })), framework::dataset::make(&quot;Min&quot;,{ -205, -60000, -180, })), framework::dataset::make(&quot;Max&quot;,{ 205, 60000, 180, })), framework::dataset::make(&quot;Expected&quot;, { true, false, false })), a_info, b_info, output_info, min, max, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a608d56d2d842ec96c43a583327f6dd35',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_int16_scale_by_fixedpoint_cases), shape, result_fixedpoint_multiplier, result_shift, min, max, add_bias)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad2631171dcf2992c9af515b0451018d7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data), framework::dataset::make(&quot;Format&quot;, 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(&quot;InputInfo1&quot;, { 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(&quot;InputInfo2&quot;, { TensorInfo(TensorShape(23U, 15U, 4U), 1, DataType::F32), TensorInfo(TensorShape(22U, 127U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 26U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 25U, 5U), 1, DataType::F32), TensorInfo(TensorShape(35U, 10U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(23U, 30U, 5U), 1, DataType::F16), TensorInfo(TensorShape(22U, 12U, 5U), 1, DataType::F32), TensorInfo(TensorShape(11U, 7U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 50U, 5U), 1, DataType::F32), TensorInfo(TensorShape(35U, 31U, 5U), 1, DataType::F32) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, true, true })), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afaa077b528557e3df09361e7a998f361',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::U8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::F32), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(18U, 80U, 1U, 2U), 1, DataType::QASYMM8), })), framework::dataset::make(&quot;HasBias&quot;, { true, true, true, false, false })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aeb41135a5f841f7ff28c675e058b1b11',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;,{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32) })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), TensorInfo(TensorShape(21U, 275U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32) })), framework::dataset::make(&quot;PadStride&quot;, { PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(2, 1, 1, 0, 0, 0, DimensionRoundingType::FLOOR), PadStrideInfo(2, 1, 0, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true })), input_info, weights_info, bias_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6498b224c9fcde95311d04ab92e9ecf1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac7d89f8b6714c942b5d8f0c363b863a2',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;NormInfo&quot;, { NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 4), NormalizationLayerInfo(NormType::IN_MAP_2D, 5), NormalizationLayerInfo(NormType::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 1), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, true })), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4276fdfdcd468299e18b3046d019e760',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32), TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32), TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32) })), framework::dataset::make(&quot;PaddingSize&quot;, { PaddingList{{0, 0}}, PaddingList{{1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{1, 1}, {1, 1}, {1, 1}, {1, 1}}, PaddingList{{0, 0}, {1, 0}, {0, 1}, {1, 2}}, PaddingList{{0, 0}, {0, 0}, {0, 0}, {1, 1}}, PaddingList{{0, 0}}, PaddingList{{1, 1}}, PaddingList{{1, 1}, {2, 2}}, PaddingList{{1, 1}, {1, 1}, {1, 1}, {1, 1}}, PaddingList{{0, 0}, {1, 0}, {0, 1}, {1, 2}}, PaddingList{{0, 0}, {0, 0}, {0, 0}, {1, 1}} })), framework::dataset::make(&quot;PaddingMode&quot;, { PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::REFLECT, PaddingMode::REFLECT, PaddingMode::REFLECT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })), framework::dataset::make(&quot;Expected&quot;, { false, false, true, true, true, true, false, false, true, false, false, true })), input_info, output_info, padding, mode, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a162f3cbf36f25099d89afc0d3aab5786',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), })), framework::dataset::make(&quot;Scale&quot;,{ scale_unity, scale_unity, scale_unity, -1.f, scale_unity, scale_unity, scale_unity})), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false, false, false, 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;PoolInfo&quot;, { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::AVG), PoolingLayerInfo(PoolingType::MAX), PoolingLayerInfo(PoolingType::AVG), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true, false, false, true })), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ac1a02462daa15bbc731619263bdec41d',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;Input1Info&quot;, { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), }), framework::dataset::make(&quot;Input2Info&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, true, false, false, false})), input1_info, input2_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3c57370131786b1f37e040ffd06bf477',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make(&quot;OutputInfo&quot;, { 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(&quot;Start&quot;,{ 0.0f, 15.0f, 1500.0f, 100.0f, -15.0f, 0.2f, 2.0f, 10.0f, 10.0f })), framework::dataset::make(&quot;End&quot;,{ 100.0f, 15.0f, 2500.0f, -1000.0f, 15.0f, 10.0f, 10.0f, 100.0f, 100.0f })), framework::dataset::make(&quot;Step&quot;,{ 100.0f, 15.0f, 10.0f, 100.0f, -15.0f, 1.0f, 0.0f, 10.0f, 10.0f })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;InputInfo&quot;, { 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(&quot;OutputInfo&quot;, { 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(&quot;Axis&quot;, { 0U, 0U, 0U, static_cast&lt; unsigned int &gt;(TensorShape::num_max_dimensions), 0U })), framework::dataset::make(&quot;Expected&quot;, { 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(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;BorderModes&quot;, { BorderMode::UNDEFINED, BorderMode::CONSTANT })), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#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(&quot;DataType&quot;, { DataType::F32, DataType::F16, DataType::QASYMM8 })), framework::dataset::make(&quot;DataLayout&quot;, { 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(&quot;InputInfo&quot;, { 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(&quot;OutputInfo&quot;, { 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(&quot;AxisInfo&quot;, { 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(&quot;Expected&quot;, { 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(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;RecurrentWeightsInfo&quot;, { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 11U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(30U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(32U), 1, DataType::F32), })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;HiddenStateInfo&quot;, { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 32U), 1, DataType::F32), })), framework::dataset::make(&quot;ActivationInfo&quot;, { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false, true })), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a614bc7d280f8e91c5d60e5794bdaaaec',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), }), framework::dataset::make(&quot;OutputInfo&quot;,{ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), })), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::AREA, InterpolationPolicy::AREA, InterpolationPolicy::NEAREST_NEIGHBOR, })), 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framework::dataset::make(&quot;PadInfo&quot;, { Size2D(2, 2), Size2D(2, 2), Size2D(1, 1), Size2D(2, 2), Size2D(2, 2), })), framework::dataset::make(&quot;UpsamplingPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, true })), input_info, output_info, pad_info, policy, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab780bab1614f2fd0b354a0905e897c90',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::U8)), framework::dataset::make(&quot;InterpolationPolicy&quot;, { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), shape, data_type, policy, 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Coordinates(4, 3, 1) }), create_vector({ Coordinates(8, 3, 1), Coordinates(12, 3, 1) }), create_vector({ Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1) }), create_vector({ Coordinates(12, 3, 1), Coordinates(16, 3, 1), Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1), Coordinates(4, 13, 1) }), create_vector({ Coordinates(4, 8, 1), Coordinates(8, 8, 1), Coordinates(12, 8, 1), Coordinates(16, 8, 1) }) })), window, start, end, expected_row_size, expected):&#160;WindowIterator.cpp']]],
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