Georgios Pinitas | def2a85 | 2019-02-21 14:47:56 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2019-2020 Arm Limited. |
Georgios Pinitas | def2a85 | 2019-02-21 14:47:56 +0000 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/core/TensorShape.h" |
| 25 | #include "arm_compute/core/Types.h" |
| 26 | #include "tests/AssetsLibrary.h" |
| 27 | #include "tests/Globals.h" |
| 28 | #include "tests/SimpleTensor.h" |
| 29 | #include "tests/SimpleTensorAccessor.h" |
| 30 | #include "tests/framework/Asserts.h" |
| 31 | #include "tests/framework/Macros.h" |
| 32 | #include "tests/framework/datasets/Datasets.h" |
| 33 | |
| 34 | #include "tests/validation/Validation.h" |
| 35 | #include "tests/validation/reference/ConvolutionLayer.h" |
| 36 | #include "tests/validation/reference/DFT.h" |
| 37 | |
| 38 | #include <random> |
| 39 | |
| 40 | namespace arm_compute |
| 41 | { |
| 42 | namespace test |
| 43 | { |
| 44 | namespace validation |
| 45 | { |
| 46 | namespace |
| 47 | { |
| 48 | auto shapes_1d_dft = framework::dataset::make("TensorShape", { TensorShape(33U), |
| 49 | TensorShape(8U), |
| 50 | TensorShape(23U, 7U), |
| 51 | TensorShape(16U, 8U, 4U) |
| 52 | }); |
| 53 | |
| 54 | auto shapes_2d_dft = framework::dataset::make("TensorShape", { TensorShape(33U, 14U), |
| 55 | TensorShape(8U, 9U), |
| 56 | TensorShape(23U, 7U, 3U), |
| 57 | TensorShape(16U, 8U, 4U) |
| 58 | }); |
| 59 | |
| 60 | auto conv_dataset_dft = framework::dataset::zip(framework::dataset::zip(framework::dataset::make("InputShape", { TensorShape(8U, 7U, 3U, 2U), |
| 61 | TensorShape(18U, 22U, 4U), |
| 62 | TensorShape(32U, 48U, 8U) |
| 63 | }), |
| 64 | framework::dataset::make("WeightShape", { TensorShape(3U, 3U, 3U, 6U), |
| 65 | TensorShape(5U, 5U, 4U, 3U), |
| 66 | TensorShape(9U, 9U, 8U, 3U) |
| 67 | })), |
| 68 | framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 1, 1), |
| 69 | PadStrideInfo(1, 1, 2, 2), |
| 70 | PadStrideInfo(1, 1, 4, 4) |
| 71 | })); |
| 72 | } // namespace |
| 73 | TEST_SUITE(CPP) |
| 74 | TEST_SUITE(DFT) |
| 75 | |
| 76 | TEST_SUITE(DFT1D) |
| 77 | DATA_TEST_CASE(Real, framework::DatasetMode::ALL, shapes_1d_dft, |
| 78 | shape) |
| 79 | { |
| 80 | SimpleTensor<float> src{ shape, DataType::F32, 1 }; |
| 81 | std::uniform_real_distribution<float> distribution(-5.f, 5.f); |
| 82 | library->fill(src, distribution, 0); |
| 83 | |
| 84 | const bool is_odd = shape.x() % 2; |
| 85 | |
| 86 | // Forward pass |
| 87 | auto forward = reference::rdft_1d(src); |
| 88 | // Backward pass |
| 89 | auto backward = reference::ridft_1d(forward, is_odd); |
| 90 | |
| 91 | // Validate with input |
| 92 | validate(SimpleTensorAccessor<float>(src), backward, RelativeTolerance<float>(0.1f)); |
| 93 | } |
| 94 | |
| 95 | DATA_TEST_CASE(Complex, framework::DatasetMode::ALL, shapes_1d_dft, |
| 96 | shape) |
| 97 | { |
| 98 | SimpleTensor<float> src{ shape, DataType::F32, 2 }; |
| 99 | std::uniform_real_distribution<float> distribution(-5.f, 5.f); |
| 100 | library->fill(src, distribution, 0); |
| 101 | |
| 102 | // Forward pass |
| 103 | auto forward = reference::dft_1d(src, reference::FFTDirection::Forward); |
| 104 | // Backward pass |
| 105 | auto backward = reference::dft_1d(forward, reference::FFTDirection::Inverse); |
| 106 | |
| 107 | // Validate with input |
| 108 | validate(SimpleTensorAccessor<float>(src), backward, RelativeTolerance<float>(0.1f)); |
| 109 | } |
| 110 | TEST_SUITE_END() // DFT1D |
| 111 | |
| 112 | TEST_SUITE(DFT2D) |
| 113 | DATA_TEST_CASE(Real, framework::DatasetMode::ALL, shapes_2d_dft, |
| 114 | shape) |
| 115 | { |
| 116 | SimpleTensor<float> src{ shape, DataType::F32, 1 }; |
| 117 | std::uniform_real_distribution<float> distribution(-5.f, 5.f); |
| 118 | library->fill(src, distribution, 0); |
| 119 | |
| 120 | const bool is_odd = shape.x() % 2; |
| 121 | |
| 122 | // Forward pass |
| 123 | auto forward = reference::rdft_2d(src); |
| 124 | // Backward pass |
| 125 | auto backward = reference::ridft_2d(forward, is_odd); |
| 126 | |
| 127 | // Validate with input |
| 128 | validate(SimpleTensorAccessor<float>(src), backward, RelativeTolerance<float>(0.1f)); |
| 129 | } |
| 130 | |
| 131 | DATA_TEST_CASE(Complex, framework::DatasetMode::ALL, shapes_2d_dft, |
| 132 | shape) |
| 133 | { |
| 134 | SimpleTensor<float> src{ shape, DataType::F32, 2 }; |
| 135 | std::uniform_real_distribution<float> distribution(-5.f, 5.f); |
| 136 | library->fill(src, distribution, 0); |
| 137 | |
| 138 | // Forward pass |
| 139 | auto forward = reference::dft_2d(src, reference::FFTDirection::Forward); |
| 140 | // Backward pass |
| 141 | auto backward = reference::dft_2d(forward, reference::FFTDirection::Inverse); |
| 142 | |
| 143 | // Validate with input |
Manuel Bottini | f25e295 | 2020-04-23 12:40:08 +0100 | [diff] [blame] | 144 | validate(SimpleTensorAccessor<float>(src), backward, RelativeTolerance<float>(0.1f), 0.f, AbsoluteTolerance<float>(0.001f)); |
Georgios Pinitas | def2a85 | 2019-02-21 14:47:56 +0000 | [diff] [blame] | 145 | } |
| 146 | TEST_SUITE_END() // DFT2D |
| 147 | |
| 148 | TEST_SUITE(Conv) |
| 149 | DATA_TEST_CASE(Real2Real, framework::DatasetMode::ALL, conv_dataset_dft, |
| 150 | shape_in, shape_w, conv_info) |
| 151 | { |
| 152 | std::uniform_real_distribution<float> distribution(-1.f, 1.f); |
| 153 | std::uniform_real_distribution<float> distribution_b(0.f, 0.f); |
| 154 | |
| 155 | SimpleTensor<float> src{ shape_in, DataType::F32, 1 }; |
| 156 | SimpleTensor<float> w{ shape_w, DataType::F32, 1 }; |
| 157 | SimpleTensor<float> b{ TensorShape(shape_w[3]), DataType::F32, 1 }; |
| 158 | |
| 159 | library->fill(src, distribution, 0); |
| 160 | library->fill(w, distribution, 1); |
| 161 | library->fill(b, distribution_b, 2); |
| 162 | |
| 163 | const auto output_wh = arm_compute::scaled_dimensions(shape_in.x(), shape_in.y(), shape_w.x(), shape_w.y(), conv_info); |
| 164 | TensorShape dst_shape = shape_in; |
| 165 | dst_shape.set(0, output_wh.first); |
| 166 | dst_shape.set(1, output_wh.second); |
| 167 | dst_shape.set(2, shape_w[3]); |
| 168 | |
| 169 | // FFT based convolution |
| 170 | auto dst = reference::conv2d_dft(src, w, conv_info); |
| 171 | // Reference convolution |
| 172 | auto dst_ref = reference::convolution_layer(src, w, b, dst_shape, conv_info); |
| 173 | |
| 174 | // Validate with input |
| 175 | validate(SimpleTensorAccessor<float>(dst), dst_ref, RelativeTolerance<float>(0.1f), 0.f, AbsoluteTolerance<float>(0.001f)); |
| 176 | } |
| 177 | TEST_SUITE_END() // Conv |
| 178 | |
| 179 | TEST_SUITE_END() // DFT |
| 180 | TEST_SUITE_END() // CPP |
| 181 | } // namespace validation |
| 182 | } // namespace test |
| 183 | } // namespace arm_compute |