Anthony Barbier | 871448e | 2017-03-24 14:54:29 +0000 | [diff] [blame] | 1 | var searchData= |
| 2 | [ |
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Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 4 | ['data_5flayout',['data_layout',['../classarm__compute_1_1_i_tensor_info.xhtml#a367b5090ab432bc7de2c32369e087ab1',1,'arm_compute::ITensorInfo::data_layout()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::SubTensorInfo::data_layout()'],['../classarm__compute_1_1_tensor_info.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::TensorInfo::data_layout()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::CLAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::GCAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a367b5090ab432bc7de2c32369e087ab1',1,'arm_compute::test::IAccessor::data_layout()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::Accessor::data_layout()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a5f63b63606dbbbe54474e6e970a6738c',1,'arm_compute::test::SimpleTensor::data_layout()']]], |
Anthony Barbier | 871448e | 2017-03-24 14:54:29 +0000 | [diff] [blame] | 5 | ['data_5fsize_5ffrom_5ftype',['data_size_from_type',['../namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab',1,'arm_compute']]], |
Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 6 | ['data_5ftest_5fcase',['DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab71f703bd3f185e8d06c405e0d15d52a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceS16Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3ca1814eff79e9a3d6d693849683d8f1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, 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| 7 | framework::dataset::make("EnableFastMath",{false, false, false, false, false, false, true, true})), |
| 8 | framework::dataset::make("Expected",{ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM,})), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9ea126361164d2410c0ada82453e9903',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#abe95cd0bbd0e16272be4bf41d7a17ad5',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, 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TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make("ConvInfo",{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0),})), framework::dataset::make("DepthMultiplier",{1, 1, 3, 1, 1, 1, 2, 3,})), framework::dataset::make("Expected",{false, false, false, false, false, false, true, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#afd3bff121f3d1b361014931aba336060',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make("DataType", DataType::U8)), shape, 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GPUTarget::MIDGARD, GPUTarget::BIFROST})), framework::dataset::make("Dilation",{Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 2U), Size2D(3U, 3U)})), framework::dataset::make("Expected",{ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM})), input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8358bc12f3ac1a3d9bc6ba573ada2316',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDilatedConvolutionLayerDataset(), datasets::LargeDilatedConvolutionLayerDataset()), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a00be49808b9902e928f3d8dae10b3528',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, 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false, true, false, false, false, true, false, true})), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a6da83731448ca19e1a954872f123f45c',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make("DataType", DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ada475a940bab0a1809774c87d1223989',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo",{TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)}), 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framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("BorderModes",{BorderMode::UNDEFINED, BorderMode::CONSTANT})), shape, policy, data_type, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab89103c7ff68898abd1789bf732cc999',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo",{TensorInfo(TensorShape(27U, 13U), 1, DataType::U8, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0),}), framework::dataset::make("WeightsInfo",{TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0), 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TensorInfo(TensorShape(30U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U), 1, DataType::F32, 0),})), framework::dataset::make("OutputInfo",{TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),})), framework::dataset::make("HiddenStateInfo",{TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32, 0),})), framework::dataset::make("ActivationInfo",{ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make("Expected",{false, false, false, false, false, false, false})), input_info, weights_info, recurrent_weights_info, bias_info, output_info, hidden_output_info, info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8faa3a9f1711901fe067c566a1a09f7b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make("InterpolationPolicy",{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a824b5a8e3c4e7db5fb9e67ebae18e396',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SoftmaxLayerSmallShapes(), datasets::SoftmaxLayerLargeShapes()), CNNDataTypes), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a7db30180ae79508c4f29f128d46bca54',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(framework::dataset::make("InputInfo",{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)),}), framework::dataset::make("OutputInfo",{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 12)), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)),})), framework::dataset::make("Expected",{false, false, false, false, false, true, true, true})), input_info, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aed9aa4d1158f6ac09286cd55d3494c8b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",{DataType::U8, DataType::S16})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae7ddc226714d859ef20d3f5bafc55c38',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::MixedThresholdDataset()), framework::dataset::make("DataType", DataType::U8)), shape, threshold, false_value, true_value, type, upper, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a610ce278b7461a74fb33d4881cf8b809',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType",{DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9784587ac5d84c4f806fe3d8072a897d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("InterpolationPolicy",{InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR})), datasets::BorderModes()), shape, data_type, policy, border_mode)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a82198f31505f1872422da35d6387b7ac',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo1",{TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32, 0)}), framework::dataset::make("InputInfo2",{TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32, 0)})), framework::dataset::make("OutputInfo",{TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16, 0), TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32, 0)})), framework::dataset::make("Expected",{false, false, false, true})), input_info1, input_info2, output_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a273a18c5a1ff725a1f3ba44fab48f188',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo",{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("OutputInfo",{TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32)})), framework::dataset::make("WinogradInfo",{WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 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("Expected",{false, false, false, false, false, false, false})), input_info, output_info, winograd_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1c070c74e504059d7c7f78219cd5c3e1',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallWinogradInputTransformDataset(), datasets::LargeWinogradInputTransformDataset()), framework::dataset::make("DataLayout",{DataLayout::NCHW})), framework::dataset::make("DataType",{DataType::F32})), shape_in, winograd_info, data_layout, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aee2a24d28b5b24452c348a21f156c83b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::Small3x3Shapes(), datasets::Large3x3Shapes()), framework::dataset::make("OutputTile",{Size2D(2U, 2U), Size2D(4U, 4U)})), framework::dataset::make("DataLayout",{DataLayout::NCHW})), framework::dataset::make("DataType",{DataType::F32})), shape_a, output_tile, data_layout, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8bc6505e8a48da25d9f9c24c2a99d17a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallWinogradOutputTransformDataset(), datasets::LargeWinogradOutputTransformDataset()), framework::dataset::make("DataType",{DataType::F32})), shape_a, winograd_info, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4cb836a117a5c4bfb377ce8f447eb708',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(), combine(framework::dataset::make("UseBeta",{false, true}), framework::dataset::make("UseGamma",{false, true}))), framework::dataset::make("DataType",{DataType::F32})), framework::dataset::make("DataLayout",{DataLayout::NCHW})), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a752981762f5617f513d6f1aaf41c1380',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallGEMMDataset(), datasets::LargeGEMMDataset()), CNNDataTypes), shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af5a7faea0a5acd5ef504cf832548ca05',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make("DataType",{DataType::F16})), shape0, shape1, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a0100bf102f3cb83c63faa0fe97854a0c',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo",{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0),}), |
Anthony Barbier | f45d5a9 | 2018-01-24 16:23:15 +0000 | [diff] [blame] | 9 | framework::dataset::make("OutputInfo",{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0),})), |
| 10 | framework::dataset::make("PoolInfo",{PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 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),})), |
Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 11 | framework::dataset::make("Expected",{false, false, false, false, false, false, false, false, false, true})), input_info, output_info, pool_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae72dd7661e6fbd348c6c25fb3f810a5a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make("InterpolationPolicy",{InterpolationPolicy::NEAREST_NEIGHBOR})), datasets::BorderModes()), datasets::SamplingPolicies()), shape, data_type, policy, border_mode, sampling_policy)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab7640878028c213fe9433432b53834ca',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType",{DataType::F16, DataType::F32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8cf9c539b52f835653e100d3f309856e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceS16Dataset), shape, data_type0, data_type1, output_data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a027fc3c677b44db44a521358e514d6e9',1,'arm_compute::test::validation::DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo",{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), 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Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 12 | ['data_5ftype',['data_type',['../classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba',1,'arm_compute::ITensorInfo::data_type()'],['../classarm__compute_1_1_sub_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::SubTensorInfo::data_type()'],['../classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::TensorInfo::data_type()'],['../classarm__compute_1_1test_1_1_c_l_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::CLAccessor::data_type()'],['../classarm__compute_1_1test_1_1_g_c_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::GCAccessor::data_type()'],['../classarm__compute_1_1test_1_1_i_accessor.xhtml#a7cfb31af63202568efef5214acfbf3ba',1,'arm_compute::test::IAccessor::data_type()'],['../classarm__compute_1_1test_1_1_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::Accessor::data_type()'],['../classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881',1,'arm_compute::test::SimpleTensor::data_type()']]], |
Anthony Barbier | 871448e | 2017-03-24 14:54:29 +0000 | [diff] [blame] | 13 | ['data_5ftype_5ffor_5fconvolution',['data_type_for_convolution',['../namespacearm__compute.xhtml#a01adc12d8e07c06cdb0f03c56a455bf3',1,'arm_compute']]], |
| 14 | ['data_5ftype_5ffor_5fconvolution_5fmatrix',['data_type_for_convolution_matrix',['../namespacearm__compute.xhtml#a3992df9e8723140a53e49dc194d89ef5',1,'arm_compute']]], |
| 15 | ['data_5ftype_5ffrom_5fformat',['data_type_from_format',['../namespacearm__compute.xhtml#a59846ef5ca75cd81cdb7e8a1ce08f9db',1,'arm_compute']]], |
Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 16 | ['dataset',['Dataset',['../classarm__compute_1_1test_1_1framework_1_1dataset_1_1_dataset.xhtml#a6c77d69d08daa8c99952d9e40de8d086',1,'arm_compute::test::framework::dataset::Dataset']]], |
| 17 | ['dataset_5fmode_5ffrom_5fname',['dataset_mode_from_name',['../namespacearm__compute_1_1test_1_1framework.xhtml#a1afd1c498fb3a1d2315e4c6d87d15754',1,'arm_compute::test::framework']]], |
| 18 | ['datatestcasefactory',['DataTestCaseFactory',['../classarm__compute_1_1test_1_1framework_1_1_data_test_case_factory.xhtml#aacdf355fbfb7579c36e50c757809c148',1,'arm_compute::test::framework::DataTestCaseFactory']]], |
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Anthony Barbier | f45d5a9 | 2018-01-24 16:23:15 +0000 | [diff] [blame] | 20 | ['deconvolution_5foutput_5fdimensions',['deconvolution_output_dimensions',['../namespacearm__compute.xhtml#a5c7b26988083a67a91cd3e7962f38521',1,'arm_compute']]], |
Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 21 | ['deconvolution_5foutput_5fshape',['deconvolution_output_shape',['../namespacearm__compute.xhtml#a7d57332eb91a8735f173556b3caf6236',1,'arm_compute']]], |
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Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 25 | ['default_5finitialize_5fbackends',['default_initialize_backends',['../namespacearm__compute_1_1graph_1_1detail.xhtml#a310bdf38a0f7e77be8315cd9018369e8',1,'arm_compute::graph::detail']]], |
Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 26 | ['default_5fndrange',['default_ndrange',['../classarm__compute_1_1_c_l_kernel_library.xhtml#a6dc2398a934f02224ad3743185f27699',1,'arm_compute::CLKernelLibrary']]], |
Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 27 | ['default_5fvisit',['default_visit',['../classarm__compute_1_1graph_1_1_default_node_visitor.xhtml#a78d9695424cce30cc0465770427fab06',1,'arm_compute::graph::DefaultNodeVisitor::default_visit()'],['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#af62b93bea1e98919a10bf65eb71f9fce',1,'arm_compute::graph::DotGraphVisitor::default_visit()']]], |
Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 28 | ['delta_5fbilinear_5fc1',['delta_bilinear_c1',['../namespacearm__compute.xhtml#ad656a27ce8a507e31096ca45683ba9a5',1,'arm_compute']]], |
Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 29 | ['delta_5flinear_5fc1_5fx',['delta_linear_c1_x',['../namespacearm__compute.xhtml#a6174495b626531de015ae2b810859287',1,'arm_compute']]], |
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Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 31 | ['depth_5fconvert',['depth_convert',['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a742cdbdf3c1db76c9a189f1bcd745579',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< T1 > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87c420d7f8a98dead76b0b32b2df6777',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< uint8_t > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa23e45fa7a8f9f196704d4473721d6ab',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< uint16_t > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a968f4da89a68d28ad39d8e39d8d19f93',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< int16_t > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae3f03fb276c241cb8545e8f19b0718dc',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< int8_t > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a77181952330fca74c9b3528f9a51fa10',1,'arm_compute::test::validation::reference::depth_convert(const SimpleTensor< float > &src, DataType dt_out, ConvertPolicy policy, uint32_t shift)']]], |
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Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 33 | ['depthconcatenatelayernode',['DepthConcatenateLayerNode',['../classarm__compute_1_1graph_1_1_depth_concatenate_layer_node.xhtml#a56e2f16867dd2ff0b6ceb7ba242317ad',1,'arm_compute::graph::DepthConcatenateLayerNode']]], |
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Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 37 | ['depthwiseconvolutionlayer',['DepthwiseConvolutionLayer',['../classarm__compute_1_1graph_1_1frontend_1_1_depthwise_convolution_layer.xhtml#a36e83ad4becd0b24268a048413726f49',1,'arm_compute::graph::frontend::DepthwiseConvolutionLayer']]], |
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Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 39 | ['dequantization_5flayer',['dequantization_layer',['../dequantization__layer_8cl.xhtml#a60e9b00d30a2743653c1f589e33467b9',1,'dequantization_layer(): dequantization_layer.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab77dd3bd732636010753d8080608cd3c',1,'arm_compute::test::validation::reference::dequantization_layer(const SimpleTensor< T > &src, const SimpleTensor< float > &min_max)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6633ef7fc0852265b2f158a5ef7ae900',1,'arm_compute::test::validation::reference::dequantization_layer(const SimpleTensor< uint8_t > &src, const SimpleTensor< float > &min_max)']]], |
Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 40 | ['dequantize',['dequantize',['../structarm__compute_1_1_quantization_info.xhtml#a9f956adfa6525f0edd3c702e7e5afb8f',1,'arm_compute::QuantizationInfo']]], |
Anthony Barbier | f45d5a9 | 2018-01-24 16:23:15 +0000 | [diff] [blame] | 41 | ['derivative',['derivative',['../derivative_8cl.xhtml#a5bd0ba0e3feaf66458557426291f2a77',1,'derivative(): derivative.cl'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aeae8f44225b61c5a6b05fdfcd82ae3d1',1,'arm_compute::test::validation::reference::derivative(const SimpleTensor< U > &src, BorderMode border_mode, uint8_t constant_border_value, GradientDimension gradient_dimension)'],['../namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ac5079d3fc0f7cf5f8dfb40b882cea1af',1,'arm_compute::test::validation::reference::derivative(const SimpleTensor< uint8_t > &src, BorderMode border_mode, uint8_t constant_border_value, GradientDimension gradient_dimension)']]], |
Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 42 | ['desc',['desc',['../classarm__compute_1_1graph_1_1_tensor.xhtml#ace1b6c0005a4c373e54bcfdc6d5b7d68',1,'arm_compute::graph::Tensor::desc()'],['../classarm__compute_1_1graph_1_1_tensor.xhtml#a5fb6fe7d94e6579bee7a628aaf979f3a',1,'arm_compute::graph::Tensor::desc() const ']]], |
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Kaizen | bf8b01d | 2017-10-12 14:26:51 +0100 | [diff] [blame] | 52 | ['disabled_5ffixture_5fdata_5ftest_5fcase',['DISABLED_FIXTURE_DATA_TEST_CASE',['../namespacearm__compute_1_1test_1_1validation.xhtml#a5ced46674ba128087c940287fa8bd838',1,'arm_compute::test::validation']]], |
Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 53 | ['disconnect',['disconnect',['../classarm__compute_1_1utils_1_1signal_1_1detail_1_1_signal_impl_3_01_return_type_07_args_8_8_8_08_4.xhtml#a960705de531a20389fb29928d43258c3',1,'arm_compute::utils::signal::detail::SignalImpl< ReturnType(Args...)>']]], |
Anthony Barbier | f45d5a9 | 2018-01-24 16:23:15 +0000 | [diff] [blame] | 54 | ['dispatch',['dispatch',['../classarm__compute_1_1_g_c_scheduler.xhtml#a66a29e27a51a13250143981b0ee4ad19',1,'arm_compute::GCScheduler']]], |
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Anthony Barbier | 871448e | 2017-03-24 14:54:29 +0000 | [diff] [blame] | 57 | ['div_5fceil',['DIV_CEIL',['../namespacearm__compute.xhtml#a12705a88669cb9fb90451ebe0db53c41',1,'arm_compute']]], |
Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 58 | ['div_5fsat_5fqs16',['div_sat_qs16',['../fixed__point_8h.xhtml#a8d2c17065a15f7b298145b13c28ef349',1,'fixed_point.h']]], |
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Anthony Barbier | f45d5a9 | 2018-01-24 16:23:15 +0000 | [diff] [blame] | 63 | ['do_5frun',['do_run',['../classarm__compute_1_1test_1_1framework_1_1_test_case.xhtml#a90b4bc2c4bae857bc3536f4a18e29772',1,'arm_compute::test::framework::TestCase::do_run()'],['../classarm__compute_1_1utils_1_1_example.xhtml#a90b4bc2c4bae857bc3536f4a18e29772',1,'arm_compute::utils::Example::do_run()']]], |
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Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame^] | 67 | ['dotgraphvisitor',['DotGraphVisitor',['../classarm__compute_1_1graph_1_1_dot_graph_visitor.xhtml#aba079420016162d60cc142401885db44',1,'arm_compute::graph::DotGraphVisitor']]], |
Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 68 | ['draw_5fdetection_5frectangle',['draw_detection_rectangle',['../namespacearm__compute_1_1utils.xhtml#ad1b5373f466a3945e1f0ef1c9943c357',1,'arm_compute::utils']]], |
Anthony Barbier | 06ea048 | 2018-02-22 15:45:35 +0000 | [diff] [blame] | 69 | ['dummy',['dummy',['../structarm__compute_1_1detail_1_1dummy.xhtml#a9459460908c5314f6ea5333a397fea5b',1,'arm_compute::detail::dummy']]], |
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Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 71 | ['duplicate',['duplicate',['../classarm__compute_1_1_blob_memory_pool.xhtml#aceea990dd135afa94795f0ad3a532df5',1,'arm_compute::BlobMemoryPool::duplicate()'],['../classarm__compute_1_1_i_memory_pool.xhtml#af6c6c5e675fab42e482d11d02df2a79e',1,'arm_compute::IMemoryPool::duplicate()'],['../classarm__compute_1_1_offset_memory_pool.xhtml#aceea990dd135afa94795f0ad3a532df5',1,'arm_compute::OffsetMemoryPool::duplicate()']]] |
Anthony Barbier | 871448e | 2017-03-24 14:54:29 +0000 | [diff] [blame] | 72 | ]; |