| /* | |
| * Copyright (c) 2018-2021 Arm Limited. | |
| * | |
| * SPDX-License-Identifier: MIT | |
| * | |
| * Permission is hereby granted, free of charge, to any person obtaining a copy | |
| * of this software and associated documentation files (the "Software"), to | |
| * deal in the Software without restriction, including without limitation the | |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or | |
| * sell copies of the Software, and to permit persons to whom the Software is | |
| * furnished to do so, subject to the following conditions: | |
| * | |
| * The above copyright notice and this permission notice shall be included in all | |
| * copies or substantial portions of the Software. | |
| * | |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
| * SOFTWARE. | |
| */ | |
| #include "arm_compute/core/Helpers.h" | |
| #include "arm_compute/core/Types.h" | |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" | |
| #include "arm_compute/runtime/CL/CLTensor.h" | |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" | |
| #include "arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h" | |
| #include "tests/CL/CLAccessor.h" | |
| #include "tests/CL/Helper.h" | |
| #include "tests/PaddingCalculator.h" | |
| #include "tests/datasets/LargeConvolutionLayerDataset.h" | |
| #include "tests/datasets/ShapeDatasets.h" | |
| #include "tests/datasets/SmallConvolutionLayerDataset.h" | |
| #include "tests/datasets/WinogradInputTransformDataset.h" | |
| #include "tests/datasets/WinogradOutputTransformDataset.h" | |
| #include "tests/framework/Asserts.h" | |
| #include "tests/framework/Macros.h" | |
| #include "tests/framework/datasets/Datasets.h" | |
| #include "tests/validation/Validation.h" | |
| #include "tests/validation/fixtures/WinogradConvolutionLayerFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| // *INDENT-OFF* | |
| // clang-format off | |
| const AbsoluteTolerance<half> tolerance_f16(half(1.f)); | |
| constexpr AbsoluteTolerance<float> tolerance_convolution_layer_f32(0.1f); | |
| const AbsoluteTolerance<half> tolerance_convolution_layer_f16(half(0.4f)); | |
| RelativeTolerance<half_float::half> rel_tolerance_f16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for FP16 data types */ | |
| constexpr float tolerance_num = 0.05f; /**< Tolerance number */ | |
| constexpr float abs_tolerance_convolution_layer_f16 = 2.5f; /**< Tolerance number */ | |
| constexpr float tolerance_num_f16 = 0.15f; /**< Tolerance number */ | |
| //Activation Functions | |
| const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", | |
| { | |
| ActivationLayerInfo(), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU) | |
| }); | |
| const auto ActivationFunctionsSmallDataset = framework::dataset::make("ActivationInfo", | |
| { | |
| ActivationLayerInfo(), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SOFT_RELU) | |
| }); | |
| } // namespace | |
| using namespace arm_compute::misc::shape_calculator; | |
| TEST_SUITE(CL) | |
| TEST_SUITE(Winograd) | |
| TEST_SUITE(ConvolutionLayer) | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( | |
| framework::dataset::make("InputInfo", { | |
| TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F16), // Insufficient padding | |
| TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), // Datatype mismatch | |
| TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), // Stride y not supported | |
| TensorInfo(TensorShape(16U, 16U, 8U), 1, DataType::F32), // Padding needed | |
| TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) // Kernel size not supported | |
| }), | |
| framework::dataset::make("WeightsInfo", { | |
| TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::F16), | |
| TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::QASYMM8), | |
| TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), | |
| TensorInfo(TensorShape(3U, 3U, 8U, 16U), 1, DataType::F32), | |
| TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) | |
| })), | |
| framework::dataset::make("BiasesInfo", { | |
| TensorInfo(TensorShape(19U), 1, DataType::F16), | |
| TensorInfo(TensorShape(19U), 1, DataType::F32), | |
| TensorInfo(TensorShape(21U), 1, DataType::F32), | |
| TensorInfo(TensorShape(16U), 1, DataType::F32), | |
| TensorInfo(TensorShape(16U), 1, DataType::F32) | |
| })), | |
| framework::dataset::make("OutputInfo", { | |
| TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F16), | |
| TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), | |
| TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), | |
| TensorInfo(TensorShape(16U, 16U, 16U), 1, DataType::F32), | |
| TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) | |
| })), | |
| framework::dataset::make("ConvInfo", { | |
| PadStrideInfo(1, 1, 1, 1), | |
| PadStrideInfo(1, 1, 1, 1), | |
| PadStrideInfo(1, 2, 0, 0), | |
| PadStrideInfo(1, 1, 1, 1), | |
| PadStrideInfo(1, 1, 1, 0) | |
| })), | |
| framework::dataset::make("Expected", { false, false, false, false, false })), | |
| input_info, weights_info, bias_info, output_info, conv_info, expected) | |
| { | |
| ARM_COMPUTE_EXPECT(bool(CLWinogradConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &bias_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info)) == expected, framework::LogLevel::ERRORS); | |
| } | |
| TEST_SUITE(FP32) | |
| using CLWinogradConvolutionLayerFastMathFixture = WinogradConvolutionLayerFastMathValidationFixture<CLTensor, CLAccessor, CLWinogradConvolutionLayer, float>; | |
| using CLWinogradConvolutionLayerFastMathMixedDataLayoutFixture = WinogradConvolutionLayerFastMathValidationFixture<CLTensor, CLAccessor, CLWinogradConvolutionLayer, float, float, true, true>; | |
| TEST_SUITE(Conv3x3) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, CLWinogradConvolutionLayerFastMathMixedDataLayoutFixture, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(combine(combine(combine(combine(combine( | |
| framework::dataset::make("Input", TensorShape(8U, 8U, 32U)), | |
| framework::dataset::make("Weight", TensorShape(1U, 3U, 32U, 1U))), | |
| framework::dataset::make("Bias", TensorShape(1U))), | |
| framework::dataset::make("Output", TensorShape(8U, 6U, 1U))), | |
| framework::dataset::make("PadStrideInfo", PadStrideInfo(1, 1, 0, 0))), | |
| framework::dataset::make("Dilation", Size2D(1U, 1U))), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| TEST_SUITE_END() // Conv3x3 | |
| TEST_SUITE(Conv3x1) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| TEST_SUITE_END() // Conv3x1 | |
| TEST_SUITE(Conv1x3) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| TEST_SUITE_END() // Conv1x3 | |
| TEST_SUITE(Conv5x5) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsSmallDataset ), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsDataset ), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| TEST_SUITE_END() // Conv5x5 | |
| TEST_SUITE(Conv5x1) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| TEST_SUITE_END() // Conv5x1 | |
| TEST_SUITE(Conv1x5) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), | |
| framework::dataset::make("DataType", { DataType::F32 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); | |
| } | |
| TEST_SUITE_END() // Conv1x5 | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE(FP16) | |
| using CLWinogradConvolutionLayerFastMathFixture16 = WinogradConvolutionLayerFastMathValidationFixture<CLTensor, CLAccessor, CLWinogradConvolutionLayer, half, float>; | |
| TEST_SUITE(Conv3x3) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16, tolerance_num_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); | |
| } | |
| TEST_SUITE_END() // Conv3x3 | |
| TEST_SUITE(Conv3x1) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16, tolerance_num_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); | |
| } | |
| TEST_SUITE_END() // Conv3x1 | |
| TEST_SUITE(Conv1x3) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16, tolerance_num_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); | |
| } | |
| TEST_SUITE_END() // Conv1x3 | |
| TEST_SUITE(Conv5x5) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16, tolerance_num_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); | |
| } | |
| TEST_SUITE_END() // Conv5x5 | |
| TEST_SUITE(Conv5x1) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16, tolerance_num_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); | |
| } | |
| TEST_SUITE_END() // Conv5x1 | |
| TEST_SUITE(Conv1x5) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16, tolerance_num_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); | |
| } | |
| TEST_SUITE_END() // Conv1x5 | |
| TEST_SUITE(Conv1x7) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x7Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsSmallDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16, tolerance_num_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, | |
| combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x7Dataset(), | |
| framework::dataset::make("DataType", { DataType::F16 })), | |
| ActivationFunctionsDataset), | |
| framework::dataset::make("DataLayout", { DataLayout::NHWC }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); | |
| } | |
| TEST_SUITE_END() // Conv1x7 | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE_END() // ConvolutionLayer | |
| TEST_SUITE_END() // Winograd | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |