| /* |
| * Copyright (c) 2019-2021 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/Types.h" |
| #include "arm_compute/runtime/NEON/functions/NEFFT1D.h" |
| #include "arm_compute/runtime/NEON/functions/NEFFT2D.h" |
| #include "arm_compute/runtime/NEON/functions/NEFFTConvolutionLayer.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "tests/NEON/Accessor.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 */ |
| constexpr float tolerance_num = 0.07f; /**< Tolerance number */ |
| |
| } // namespace |
| TEST_SUITE(NEON) |
| 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 = NEFFT1D::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 NEFFT1DFixture = FFTValidationFixture<Tensor, Accessor, NEFFT1D, FFT1DInfo, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEFFT1DFixture<float>, framework::DatasetMode::ALL, combine(shapes_1d, framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32, tolerance_num); |
| } |
| TEST_SUITE_END() // FP32 |
| 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 = NEFFT2D::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 NEFFT2DFixture = FFTValidationFixture<Tensor, Accessor, NEFFT2D, FFT2DInfo, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEFFT2DFixture<float>, framework::DatasetMode::ALL, combine(shapes_2d, framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32, tolerance_num); |
| } |
| TEST_SUITE_END() // FP32 |
| TEST_SUITE_END() // Float |
| TEST_SUITE_END() // FFT2D |
| |
| TEST_SUITE(FFTConvolutionLayer) |
| |
| template <typename T> |
| using NEFFTConvolutionLayerFixture = FFTConvolutionValidationFixture<Tensor, Accessor, NEFFTConvolutionLayer, T>; |
| template <typename T> |
| using NEFFTConvolutionLayerMixedDataLayoutFixture = FFTConvolutionValidationFixture<Tensor, Accessor, NEFFTConvolutionLayer, T, true>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEFFTConvolutionLayerFixture<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(Accessor(_target), _reference, tolerance_f32, tolerance_num); |
| } |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, NEFFTConvolutionLayerMixedDataLayoutFixture<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(Accessor(_target), _reference, tolerance_f32, tolerance_num); |
| } |
| TEST_SUITE_END() // FP32 |
| TEST_SUITE_END() // Float |
| TEST_SUITE_END() // FFTConvolutionLayer |
| TEST_SUITE_END() // Neon |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
