| /* |
| * Copyright (c) 2019 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/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/SimpleTensor.h" |
| #include "tests/SimpleTensorAccessor.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/reference/ConvolutionLayer.h" |
| #include "tests/validation/reference/DFT.h" |
| |
| #include <random> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| auto shapes_1d_dft = framework::dataset::make("TensorShape", { TensorShape(33U), |
| TensorShape(8U), |
| TensorShape(23U, 7U), |
| TensorShape(16U, 8U, 4U) |
| }); |
| |
| auto shapes_2d_dft = framework::dataset::make("TensorShape", { TensorShape(33U, 14U), |
| TensorShape(8U, 9U), |
| TensorShape(23U, 7U, 3U), |
| TensorShape(16U, 8U, 4U) |
| }); |
| |
| auto conv_dataset_dft = framework::dataset::zip(framework::dataset::zip(framework::dataset::make("InputShape", { TensorShape(8U, 7U, 3U, 2U), |
| TensorShape(18U, 22U, 4U), |
| TensorShape(32U, 48U, 8U) |
| }), |
| framework::dataset::make("WeightShape", { TensorShape(3U, 3U, 3U, 6U), |
| TensorShape(5U, 5U, 4U, 3U), |
| TensorShape(9U, 9U, 8U, 3U) |
| })), |
| framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 1, 1), |
| PadStrideInfo(1, 1, 2, 2), |
| PadStrideInfo(1, 1, 4, 4) |
| })); |
| } // namespace |
| TEST_SUITE(CPP) |
| TEST_SUITE(DFT) |
| |
| TEST_SUITE(DFT1D) |
| DATA_TEST_CASE(Real, framework::DatasetMode::ALL, shapes_1d_dft, |
| shape) |
| { |
| SimpleTensor<float> src{ shape, DataType::F32, 1 }; |
| std::uniform_real_distribution<float> distribution(-5.f, 5.f); |
| library->fill(src, distribution, 0); |
| |
| const bool is_odd = shape.x() % 2; |
| |
| // Forward pass |
| auto forward = reference::rdft_1d(src); |
| // Backward pass |
| auto backward = reference::ridft_1d(forward, is_odd); |
| |
| // Validate with input |
| validate(SimpleTensorAccessor<float>(src), backward, RelativeTolerance<float>(0.1f)); |
| } |
| |
| DATA_TEST_CASE(Complex, framework::DatasetMode::ALL, shapes_1d_dft, |
| shape) |
| { |
| SimpleTensor<float> src{ shape, DataType::F32, 2 }; |
| std::uniform_real_distribution<float> distribution(-5.f, 5.f); |
| library->fill(src, distribution, 0); |
| |
| // Forward pass |
| auto forward = reference::dft_1d(src, reference::FFTDirection::Forward); |
| // Backward pass |
| auto backward = reference::dft_1d(forward, reference::FFTDirection::Inverse); |
| |
| // Validate with input |
| validate(SimpleTensorAccessor<float>(src), backward, RelativeTolerance<float>(0.1f)); |
| } |
| TEST_SUITE_END() // DFT1D |
| |
| TEST_SUITE(DFT2D) |
| DATA_TEST_CASE(Real, framework::DatasetMode::ALL, shapes_2d_dft, |
| shape) |
| { |
| SimpleTensor<float> src{ shape, DataType::F32, 1 }; |
| std::uniform_real_distribution<float> distribution(-5.f, 5.f); |
| library->fill(src, distribution, 0); |
| |
| const bool is_odd = shape.x() % 2; |
| |
| // Forward pass |
| auto forward = reference::rdft_2d(src); |
| // Backward pass |
| auto backward = reference::ridft_2d(forward, is_odd); |
| |
| // Validate with input |
| validate(SimpleTensorAccessor<float>(src), backward, RelativeTolerance<float>(0.1f)); |
| } |
| |
| DATA_TEST_CASE(Complex, framework::DatasetMode::ALL, shapes_2d_dft, |
| shape) |
| { |
| SimpleTensor<float> src{ shape, DataType::F32, 2 }; |
| std::uniform_real_distribution<float> distribution(-5.f, 5.f); |
| library->fill(src, distribution, 0); |
| |
| // Forward pass |
| auto forward = reference::dft_2d(src, reference::FFTDirection::Forward); |
| // Backward pass |
| auto backward = reference::dft_2d(forward, reference::FFTDirection::Inverse); |
| |
| // Validate with input |
| validate(SimpleTensorAccessor<float>(src), backward, RelativeTolerance<float>(0.1f)); |
| } |
| TEST_SUITE_END() // DFT2D |
| |
| TEST_SUITE(Conv) |
| DATA_TEST_CASE(Real2Real, framework::DatasetMode::ALL, conv_dataset_dft, |
| shape_in, shape_w, conv_info) |
| { |
| std::uniform_real_distribution<float> distribution(-1.f, 1.f); |
| std::uniform_real_distribution<float> distribution_b(0.f, 0.f); |
| |
| SimpleTensor<float> src{ shape_in, DataType::F32, 1 }; |
| SimpleTensor<float> w{ shape_w, DataType::F32, 1 }; |
| SimpleTensor<float> b{ TensorShape(shape_w[3]), DataType::F32, 1 }; |
| |
| library->fill(src, distribution, 0); |
| library->fill(w, distribution, 1); |
| library->fill(b, distribution_b, 2); |
| |
| const auto output_wh = arm_compute::scaled_dimensions(shape_in.x(), shape_in.y(), shape_w.x(), shape_w.y(), conv_info); |
| TensorShape dst_shape = shape_in; |
| dst_shape.set(0, output_wh.first); |
| dst_shape.set(1, output_wh.second); |
| dst_shape.set(2, shape_w[3]); |
| |
| // FFT based convolution |
| auto dst = reference::conv2d_dft(src, w, conv_info); |
| // Reference convolution |
| auto dst_ref = reference::convolution_layer(src, w, b, dst_shape, conv_info); |
| |
| // Validate with input |
| validate(SimpleTensorAccessor<float>(dst), dst_ref, RelativeTolerance<float>(0.1f), 0.f, AbsoluteTolerance<float>(0.001f)); |
| } |
| TEST_SUITE_END() // Conv |
| |
| TEST_SUITE_END() // DFT |
| TEST_SUITE_END() // CPP |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |