arm_compute v18.02 Change-Id: I7207aa488e5470f235f39b6c188b4678dc38d1a6

commit: 06ea048f062a50404b1b3998a61a45449c2d1f0f [log] [tgz]
author: Anthony Barbier <anthony.barbier@arm.com> Thu Feb 22 15:45:35 2018 +0000
committer: Anthony Barbier <anthony.barbier@arm.com> Fri Feb 23 11:49:54 2018 +0000
tree: aa0dea3b0c49422538df9a5a02578b2c29e6fa67
parent: 292227986edb37b01061afcad6df18ba9d6ccbeb [diff] [blame]
diff --git a/documentation/search/functions_3.js b/documentation/search/functions_3.js
index 189c791..9c211e1 100644
--- a/documentation/search/functions_3.js
+++ b/documentation/search/functions_3.js

@@ -2,10 +2,10 @@
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(),})), 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::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2),})), 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, 6.f, 2.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f, 2.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), ActivationLayerInfo(), ActivationLayerInfo(),})), framework::dataset::make(&quot;Expected&quot;,{true, false, false, false, false, false, false, false, false, true, true})), input_info, output_info, mvbg_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a43b142f2fd7735c8dbb2b1b4e456482b',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), 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framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(19U), 1, DataType::F32, 0), TensorInfo(TensorShape(19U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32, 0)})), 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::G70, GPUTarget::MIDGARD, GPUTarget::BIFROST})), framework::dataset::make(&quot;Expected&quot;,{ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM})), input_info, weights_info, biases_info, output_info, conv_info, gpu_target, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8703762e8291b913c69ce32376c1fb14',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, data_type)'],['../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, 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TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;BiasInfo&quot;,{TensorInfo(TensorShape(1U), 1, DataType::F16, 0), TensorInfo(TensorShape(1U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U), 1, DataType::F32, 5), TensorInfo(TensorShape(25U, 11U), 1, DataType::F32, 11), TensorInfo(TensorShape(1U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 5), TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32, 0),})), 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;ax&quot;,{1U, 1U, 1U, 1U, 0U, 0U,})), framework::dataset::make(&quot;ay&quot;,{1U, 1U, 1U, 1U, 0U, 0U,})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true})), input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3af7c449ec636cdb56f09c7bb9815ddd',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;ConvertPolicy&quot;,{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), DepthConvertLayerShiftDataset), shape, policy, shift)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3a4dca9a6fcebd771852954387dda89a',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::QS8, DataType::QS16})), framework::dataset::make(&quot;ConvertPolicy&quot;,{ConvertPolicy::SATURATE, ConvertPolicy::WRAP})), DepthConvertLayerFixedPointQuantizedDataset), shape, dt, policy, fixed_point_position)'],['../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(&quot;DataType&quot;, DataType::U8)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a712c785a9475eb2bb0a5a24e43d282cc',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), datasets::BorderModes()), framework::dataset::make(&quot;Format&quot;, 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framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), 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DataType::F32, 0), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32, 0),})), 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;Expected&quot;,{false, false, false, false, false, false, false, false, false, false, true})), input_info, weights_info, biases_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a03ce389355dedb591f21f5abc0f22cce',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, 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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(315U, 271U), 1, DataType::QS8, 3), 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(271U), 1, DataType::QS8, 2), 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(271U, 3U), 1, DataType::QS8, 3), 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, true, false, true, true})), framework::dataset::make(&quot;ReshapedWeights&quot;,{false, false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;,{false, 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#ac60bce01d83538dd27cddcbea97046c8',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, 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framework::DatasetMode::ALL, combine(combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), data), framework::dataset::make(&quot;Format&quot;, Format::U8)), shape, gradient_size, block_size, border_mode, use_fp16, format)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aa448e5cad10449e32daa050b861dac3e',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::S16, DataType::S32})), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af47ccf8173fbf22b22f0649949789046',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), 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#a692cf4b1d688f13abdc57d0713b90ed7',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, 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(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(27U, 11U, 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::QS8, 3), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),})), 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::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 5),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true})), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a9fef1defe4d1be1c781ab819d46ad1e9',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(27U, 13U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::U16),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(5U, 5U, 7U, 3U), 1, DataType::U16), TensorInfo(TensorShape(7U, 7U, 7U, 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(2U, 37U, 27U, 13U), 1, DataType::F32), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(128U, 64U, 21U, 2U), 1, DataType::F32), TensorInfo(TensorShape(21U, 64U, 2U, 128U), 1, DataType::F32), TensorInfo(TensorShape(2U, 21U, 64U, 128U), 1, DataType::U16),})), 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(2U, 3U, 1U, 0U), PermutationVector(1U, 1U, 1U, 1U), PermutationVector(2U, 1U, 3U, 0U), PermutationVector(3U, 2U, 1U, 0U),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true, true, true, false, false, false, false})), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab1b781bfa8aede873549ccc651f6bcf8',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#a1b6fe9d1f1a157a4208b976d197d4f04',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::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), 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::QS16, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), 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::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;Scale&quot;,{2.f, 2.f, 2.f,-1.f, 1.f, 1.f, 1.f, 1.f, 3.f})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false, false, false, false})), input1_info, input2_info, output_info, scale, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a1f9e31f20d51bd86052dce3bbb32ff16',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, 0), TensorInfo(TensorShape(27U, 13U, 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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),})), 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, 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(&quot;DataType&quot;, DataType::F32)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ad24f0eb2b1d7cb2b9d5a3acdc8c0be38',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, 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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(&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::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(&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::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(&quot;Expected&quot;,{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(&quot;DataType&quot;,{DataType::U8, DataType::S16})), shape, 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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(&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#a4b881c456af4b0c73d80588b1a1f2112',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomBatchNormalizationLayerDataset(), framework::dataset::make(&quot;DataType&quot;,{DataType::F32})), shape0, shape1, epsilon, dt)'],['../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(&quot;DataType&quot;,{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(&quot;InputInfo&quot;,{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),}),
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-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#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(&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#ab7640878028c213fe9433432b53834ca',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::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(&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), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(),})), 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),})), framework::dataset::make(&quot;Expected&quot;,{false, true, false, false, true})), input_info, output_info, act_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ae1fa81d8077d7990785e72cc6b253c2f',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::RandomBatchNormalizationLayerDataset(), framework::dataset::make(&quot;DataType&quot;,{DataType::QS8, DataType::QS16, DataType::F32})), shape0, shape1, epsilon, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a8a0fadde4e3e45dceba08c84b65d43e9',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::QS8, 2), 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, 4U, 10U, 2U), 1, DataType::QS8, 3), 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, false, true})), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a24855302bf89c7923221ed4ad308140d',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::LargeDepthwiseConvolutionLayerDataset3x3()), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), input_shape, weights_shape, output_shape, info, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a72a64c233879d9e811495d201031ee61',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, 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(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(27U, 13U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32, 0),})), 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;Expected&quot;,{false, false, false, false, false, false, false, false, false})), input_info, weights_info, biases_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#aaed4107ed79a0f545a95cd0ac20f3de7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4c5ee20f9d24c1402ddf06145ccb2aa0',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::QS8, 2), 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#a01cbfbd5aab74c85cdac08a60f26288a',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#a9e50d6591de024c6c701b03c59dd84a5',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::QS8, 2), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 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, 4U, 10U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QASYMM8),})), framework::dataset::make(&quot;HasBias&quot;,{true, true, true, true, 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#a635611a2f025da0e30e23148b4cdec17',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3755766cb74239af64fc77fe337662e2',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, 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(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(27U, 11U, 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::QS8, 3), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),})), 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::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 1),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true})), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a561cc4612c658b22561a7e8bb659ed18',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::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), 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), 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3U, 5U, 7U, 11U}, TensorShape{2U, 3U, 5U, 7U, 11U, 13U}}), framework::dataset::make(&quot;NumDimensions&quot;,{0U, 1U, 1U, 2U, 3U, 4U, 5U, 6U})), framework::dataset::make(&quot;TotalSize&quot;,{0U, 1U, 2U, 6U, 30U, 210U, 2310U, 30030U})), shape, num_dimensions, total_size)'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a28f88254f098ec103dc5986d3752660a',1,'DATA_TEST_CASE(RoundHalfUp, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 2.f, 3.f, 3.f,-3.f,-3.f,-4.f,-4.f,-4.f})), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#affbe24fd09600ac3016a471ee841fc57',1,'DATA_TEST_CASE(RoundHalfEven, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 2.f, 2.f, 3.f,-3.f,-4.f,-4.f,-4.f,-4.f})), value, result):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#aa73947e5521690b18f251cfcc8b3ddfa',1,'DATA_TEST_CASE(Index2Coord, framework::DatasetMode::ALL, zip(zip(framework::dataset::make(&quot;Shape&quot;,{TensorShape{1U}, TensorShape{2U}, TensorShape{2U, 3U}}), framework::dataset::make(&quot;Index&quot;,{0, 1, 2})), framework::dataset::make(&quot;Coordinates&quot;,{Coordinates{0}, Coordinates{1}, Coordinates{0, 1}})), shape, index, ref_coordinate):&#160;Utils.cpp'],['../tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a021a9d3325f1be249e14665e52a38aac',1,'DATA_TEST_CASE(RoundFloatToZero, framework::DatasetMode::ALL, zip(framework::dataset::make(&quot;FloatIn&quot;,{1.f, 1.2f, 1.5f, 2.5f, 2.9f,-3.f,-3.5f,-3.8f,-4.3f,-4.5f}), framework::dataset::make(&quot;FloatOut&quot;,{1.f, 1.f, 1.f, 2.f, 2.f,-3.f,-3.f,-3.f,-4.f,-4.f})), value, 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framework::dataset::make(&quot;DataType&quot;,{DataType::QS8, DataType::QS16, DataType::F32})), shape0, shape1, epsilon, dt)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a31bb10ae93d777116dcf93c12ccbb222',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::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), 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::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(),})), 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::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2),})), 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, 6.f, 2.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f, 2.f), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.f, 6.f), ActivationLayerInfo(), ActivationLayerInfo(),})), framework::dataset::make(&quot;Expected&quot;,{true, false, false, false, false, false, false, false, true, true})), 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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, false, true})), input_info, output_info, convolved_width, convolved_height, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#ab670d307fffabdf9eecbadf8e605ed8b',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, 0), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32, 0), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32, 0)}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16, 0)})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(1U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0)})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(6U, 6U, 1U), 1, DataType::F32, 0), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32, 0)})), 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;Expected&quot;,{ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM})), 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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(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(9U, 9U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32, 0), TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32, 0),})), 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;Expected&quot;,{false, false, false, false, false, false, false, false, false})), input_info, weights_info, biases_info, output_info, conv_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#af974625bb79a0bb09521331deafb6626',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(9U, 5U, 7U, 3U), 1, DataType::QS8, 2), 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(315U, 271U), 1, DataType::QS8, 3), 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(271U), 1, DataType::QS8, 2), 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(271U, 3U), 1, DataType::QS8, 3), 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, true, false, true, true, true})), framework::dataset::make(&quot;ReshapedWeights&quot;,{false, false, false, false, false, false, false})), framework::dataset::make(&quot;Expected&quot;,{false, 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#aaed4107ed79a0f545a95cd0ac20f3de7',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, num_levels)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a4c5ee20f9d24c1402ddf06145ccb2aa0',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::QS8, 2), 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#a01cbfbd5aab74c85cdac08a60f26288a',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#a9197bbc462ffe24ef587ad7c3eba5639',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::QS8, 2), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(10U, 12U, 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, 4U, 10U, 2U), 1, DataType::QS8, 3), 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, true, false, false})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, true})), input_info, output_info, has_bias, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a635611a2f025da0e30e23148b4cdec17',1,'arm_compute::test::validation::DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;, DataType::S16)), shape, data_type)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a3755766cb74239af64fc77fe337662e2',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, 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(27U, 13U, 2U), 1, DataType::QS8, 4), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(27U, 11U, 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::QS8, 3), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 0),})), 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::IN_MAP_1D, 5), NormalizationLayerInfo(NormType::CROSS_MAP, 1),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true})), input_info, output_info, norm_info, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a512b7ceb04308d4d2e4e7950073b70b5',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),}), 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),})), 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),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true, true})), input_info, output_info, perm_vect, expected)'],['../namespacearm__compute_1_1test_1_1validation.xhtml#a561cc4612c658b22561a7e8bb659ed18',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::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),}), 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::QS16, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), 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::QS8, 3), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),})), framework::dataset::make(&quot;Scale&quot;,{scale_unity, scale_unity, scale_unity,-1.f, scale_unity, scale_unity, scale_unity, scale_unity, 3.f})), framework::dataset::make(&quot;Expected&quot;,{true, true, false, false, false, false, false, false, false})), input1_info, input2_info, output_info, scale, 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commit	06ea048f062a50404b1b3998a61a45449c2d1f0f	[log] [tgz]
author	Anthony Barbier <anthony.barbier@arm.com>	Thu Feb 22 15:45:35 2018 +0000
committer	Anthony Barbier <anthony.barbier@arm.com>	Fri Feb 23 11:49:54 2018 +0000
tree	aa0dea3b0c49422538df9a5a02578b2c29e6fa67
parent	292227986edb37b01061afcad6df18ba9d6ccbeb [diff] [blame]