| /* | |
| * Copyright (c) 2019-2020 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/Types.h" | |
| #include "arm_compute/runtime/CL/CLTensor.h" | |
| #include "arm_compute/runtime/CL/functions/CLFFT1D.h" | |
| #include "arm_compute/runtime/CL/functions/CLFFT2D.h" | |
| #include "arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h" | |
| #include "tests/CL/CLAccessor.h" | |
| #include "tests/datasets/SmallConvolutionLayerDataset.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/FFTFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); | |
| const auto shapes_1d = framework::dataset::make("TensorShape", { TensorShape(2U, 2U, 3U), TensorShape(3U, 2U, 3U), | |
| TensorShape(4U, 2U, 3U), TensorShape(5U, 2U, 3U), | |
| TensorShape(7U, 2U, 3U), TensorShape(8U, 2U, 3U), | |
| TensorShape(9U, 2U, 3U), TensorShape(25U, 2U, 3U), | |
| TensorShape(49U, 2U, 3U), TensorShape(64U, 2U, 3U), | |
| TensorShape(16U, 2U, 3U), TensorShape(32U, 2U, 3U), | |
| TensorShape(96U, 2U, 2U) | |
| }); | |
| const auto shapes_2d = framework::dataset::make("TensorShape", { TensorShape(2U, 2U, 3U), TensorShape(3U, 6U, 3U), | |
| TensorShape(4U, 5U, 3U), TensorShape(5U, 7U, 3U), | |
| TensorShape(7U, 25U, 3U), TensorShape(8U, 2U, 3U), | |
| TensorShape(9U, 16U, 3U), TensorShape(25U, 32U, 3U), | |
| TensorShape(192U, 128U, 2U) | |
| }); | |
| const auto ActivationFunctionsSmallDataset = framework::dataset::make("ActivationInfo", | |
| { | |
| ActivationLayerInfo(), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f) | |
| }); | |
| RelativeTolerance<float> tolerance_f32(0.1f); /**< Relative tolerance value for FP32 */ | |
| RelativeTolerance<half> tolerance_f16(half(0.1f)); /**< Relative tolerance value for FP16 */ | |
| constexpr float tolerance_num_f32 = 0.07f; /**< Tolerance number for FP32*/ | |
| constexpr float tolerance_num_f16 = 0.15f; /**< Tolerance number for FP32*/ | |
| } // namespace | |
| TEST_SUITE(CL) | |
| TEST_SUITE(FFT1D) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( | |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Mismatching data types | |
| TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Mismatching shapes | |
| TensorInfo(TensorShape(32U, 13U, 2U), 3, DataType::F32), // Invalid channels | |
| TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Unsupported axis | |
| TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), // Undecomposable FFT | |
| TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), | |
| }), | |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F16), | |
| TensorInfo(TensorShape(16U, 13U, 2U), 2, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), | |
| TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), | |
| TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), | |
| })), | |
| framework::dataset::make("Axis", { 0, 0, 0, 2, 0, 0 })), | |
| framework::dataset::make("Expected", { false, false, false, false, false, true })), | |
| input_info, output_info, axis, expected) | |
| { | |
| FFT1DInfo desc; | |
| desc.axis = axis; | |
| const Status s = CLFFT1D::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), desc); | |
| ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| template <typename T> | |
| using CLFFT1DFixture = FFTValidationFixture<CLTensor, CLAccessor, CLFFT1D, FFT1DInfo, T>; | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT1DFixture<float>, framework::DatasetMode::ALL, combine(shapes_1d, framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num_f32); | |
| } | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT1DFixture<half>, framework::DatasetMode::ALL, combine(shapes_1d, framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num_f16); | |
| } | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE_END() // Float | |
| TEST_SUITE_END() // FFT1D | |
| TEST_SUITE(FFT2D) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( | |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), // Mismatching data types | |
| TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), // Mismatching shapes | |
| TensorInfo(TensorShape(32U, 25U, 2U), 3, DataType::F32), // Invalid channels | |
| TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Undecomposable FFT | |
| TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), | |
| }), | |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F16), | |
| TensorInfo(TensorShape(16U, 25U, 2U), 2, DataType::F32), | |
| TensorInfo(TensorShape(32U, 25U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), | |
| TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), | |
| })), | |
| framework::dataset::make("Expected", { false, false, false, false, true })), | |
| input_info, output_info, expected) | |
| { | |
| const Status s = CLFFT2D::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), FFT2DInfo()); | |
| ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| template <typename T> | |
| using CLFFT2DFixture = FFTValidationFixture<CLTensor, CLAccessor, CLFFT2D, FFT2DInfo, T>; | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT2DFixture<float>, framework::DatasetMode::ALL, combine(shapes_2d, framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num_f32); | |
| } | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT2DFixture<half>, framework::DatasetMode::ALL, combine(shapes_2d, framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num_f16); | |
| } | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE_END() // Float | |
| TEST_SUITE_END() // FFT2D | |
| TEST_SUITE(FFTConvolutionLayer) | |
| template <typename T> | |
| using CLFFTConvolutionLayerFixture = FFTConvolutionValidationFixture<CLTensor, CLAccessor, CLFFTConvolutionLayer, T>; | |
| template <typename T> | |
| using CLFFTConvolutionLayerMixedDataLayoutFixture = FFTConvolutionValidationFixture<CLTensor, CLAccessor, CLFFTConvolutionLayer, T, true>; | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLFFTConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFFTConvolutionLayerDataset(), | |
| framework::dataset::make("DataType", DataType::F32)), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), | |
| ActivationFunctionsSmallDataset)) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, CLFFTConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFFTConvolutionLayerDataset(), | |
| framework::dataset::make("DataType", DataType::F32)), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), | |
| ActivationFunctionsSmallDataset)) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num_f32); | |
| } | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLFFTConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFFTConvolutionLayerDataset(), | |
| framework::dataset::make("DataType", DataType::F16)), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), | |
| ActivationFunctionsSmallDataset)) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num_f16); | |
| } | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE_END() // Float | |
| TEST_SUITE_END() // FFTConvolutionLayer | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |