Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 1 | /* |
Sheri Zhang | ac6499a | 2021-02-10 15:32:38 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2021 Arm Limited. |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [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/Types.h" |
| 25 | #include "arm_compute/runtime/NEON/functions/NEConvolutionLayer.h" |
Georgios Pinitas | c0b6f76 | 2020-11-02 01:37:17 +0000 | [diff] [blame] | 26 | #include "arm_compute/runtime/NEON/functions/NEGEMMConv2d.h" |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 27 | #include "arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h" |
Georgios Pinitas | 9fb1159 | 2018-04-26 20:34:58 +0100 | [diff] [blame] | 28 | #include "arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h" |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 29 | #include "arm_compute/runtime/Tensor.h" |
| 30 | #include "arm_compute/runtime/TensorAllocator.h" |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 31 | #include "tests/NEON/Accessor.h" |
| 32 | #include "tests/PaddingCalculator.h" |
Moritz Pflanzer | a09de0c | 2017-09-01 20:41:12 +0100 | [diff] [blame] | 33 | #include "tests/datasets/LargeConvolutionLayerDataset.h" |
| 34 | #include "tests/datasets/SmallConvolutionLayerDataset.h" |
Anthony Barbier | 1c0d0ff | 2018-01-31 13:05:09 +0000 | [diff] [blame] | 35 | #include "tests/datasets/TinyConvolutionLayerDataset.h" |
Moritz Pflanzer | a09de0c | 2017-09-01 20:41:12 +0100 | [diff] [blame] | 36 | #include "tests/framework/Asserts.h" |
| 37 | #include "tests/framework/Macros.h" |
| 38 | #include "tests/framework/datasets/Datasets.h" |
| 39 | #include "tests/validation/Validation.h" |
| 40 | #include "tests/validation/fixtures/ConvolutionLayerFixture.h" |
Georgios Pinitas | 9fb1159 | 2018-04-26 20:34:58 +0100 | [diff] [blame] | 41 | #include "tests/validation/fixtures/WinogradConvolutionLayerFixture.h" |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 42 | |
| 43 | namespace arm_compute |
| 44 | { |
| 45 | namespace test |
| 46 | { |
| 47 | namespace validation |
| 48 | { |
Georgios Pinitas | c0b6f76 | 2020-11-02 01:37:17 +0000 | [diff] [blame] | 49 | namespace detail |
| 50 | { |
| 51 | template <> |
| 52 | void configure_conv_function<NEGEMMConv2d, Tensor>(NEGEMMConv2d &func, |
| 53 | Tensor *src, const Tensor *weights, const Tensor *bias, Tensor *dst, |
| 54 | const PadStrideInfo &info, const WeightsInfo &weights_info, |
| 55 | const Size2D &dilation, const ActivationLayerInfo &act_info, unsigned int num_groups) |
| 56 | { |
| 57 | ARM_COMPUTE_UNUSED(weights_info); |
| 58 | |
| 59 | Conv2dInfo conv_info(info, dilation, act_info, false, num_groups); |
| 60 | func.configure(src, weights, bias, dst, conv_info); |
| 61 | } |
| 62 | } // namespace detail |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 63 | namespace |
| 64 | { |
Pablo Tello | af7e600 | 2018-10-08 15:53:14 +0100 | [diff] [blame] | 65 | const RelativeTolerance<float> rel_tolerance_f32(0.01f); /**< Relative tolerance for FP32 types */ |
| 66 | const RelativeTolerance<float> rel_tolerance_winograd_3x3_f32(0.05f); /**< Relative tolerance for FP32 types */ |
| 67 | const AbsoluteTolerance<float> abs_tolerance_f32(0.002f); /**< Absolute tolerance for FP32 types */ |
| 68 | const AbsoluteTolerance<float> abs_tolerance_1xN_f32(0.0041f); /**< Absolute tolerance for FP32 types */ |
Pablo Tello | 952aeb1 | 2018-09-12 09:47:25 +0100 | [diff] [blame] | 69 | |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 70 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 71 | const AbsoluteTolerance<half> tolerance_convolution_layer_f16(half(0.4f)); |
| 72 | constexpr float tolerance_num_f16 = 0.15f; |
| 73 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| 74 | |
| 75 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Gian Marco Iodice | 41acb76 | 2018-08-23 10:25:06 +0100 | [diff] [blame] | 76 | const RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.2f)); /**< Relative tolerance value for FP16 types */ |
| 77 | const AbsoluteTolerance<float> abs_tolerance_f16(0.2f); /**< Absolute tolerance for FP16 types */ |
| 78 | constexpr float tolerance_num = 0.07f; /**< Tolerance number for the FP16 implementation */ |
| 79 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| 80 | constexpr AbsoluteTolerance<float> tolerance_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 81 | |
| 82 | /** CNN data types */ |
| 83 | const auto CNNDataTypes = framework::dataset::make("DataType", |
| 84 | { |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 85 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 86 | DataType::F16, |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 87 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 88 | DataType::F32, |
Isabella Gottardi | e6630e4 | 2018-01-18 15:50:39 +0000 | [diff] [blame] | 89 | DataType::QASYMM8, |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 90 | }); |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 91 | const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", |
| 92 | { |
| 93 | ActivationLayerInfo(), |
| 94 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 95 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f) |
| 96 | }); |
Georgios Pinitas | dbdea0d | 2019-10-16 19:21:40 +0100 | [diff] [blame] | 97 | |
| 98 | const auto QuantizationData = framework::dataset::make("QuantizationInfo", |
| 99 | { |
| 100 | QuantizationInfo(0.5f, 10), |
| 101 | QuantizationInfo(0.3f, 3), |
| 102 | QuantizationInfo(1.f, 10), |
Michele Di Giorgio | f29d1b7 | 2019-10-29 10:58:13 +0000 | [diff] [blame] | 103 | QuantizationInfo(1.1f, 10), |
Georgios Pinitas | dbdea0d | 2019-10-16 19:21:40 +0100 | [diff] [blame] | 104 | }); |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 105 | } // namespace |
| 106 | |
| 107 | TEST_SUITE(NEON) |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 108 | TEST_SUITE(ConvolutionLayer) |
Michalis Spyrou | aeebe4a | 2019-01-09 14:21:03 +0000 | [diff] [blame] | 109 | |
| 110 | // *INDENT-OFF* |
| 111 | // clang-format off |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 112 | DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( |
Michalis Spyrou | aeebe4a | 2019-01-09 14:21:03 +0000 | [diff] [blame] | 113 | framework::dataset::make("InputInfo", { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32), |
| 114 | TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32), |
| 115 | TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), |
| 116 | TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) |
| 117 | }), |
| 118 | framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32), |
| 119 | TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32), |
| 120 | TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), |
| 121 | TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) |
| 122 | })), |
| 123 | framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32), |
| 124 | TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32), |
| 125 | TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), |
| 126 | TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) |
| 127 | })), |
| 128 | framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), |
| 129 | PadStrideInfo(1, 1, 0, 0), |
| 130 | PadStrideInfo(2, 1, 0, 0), |
| 131 | PadStrideInfo(3, 2, 1, 0) |
| 132 | })), |
| 133 | framework::dataset::make("FastMath", { true, |
| 134 | true, |
| 135 | false, |
| 136 | false |
| 137 | })), |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 138 | framework::dataset::make("Expected", { ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), |
| 139 | input_info, weights_info, output_info, conv_info, fast_math, expected) |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 140 | { |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 141 | ConvolutionMethod is_valid = NEConvolutionLayer::get_convolution_method(&input_info.clone()->set_is_resizable(true), |
| 142 | &weights_info.clone()->set_is_resizable(true), |
| 143 | &output_info.clone()->set_is_resizable(true), conv_info, WeightsInfo(), Size2D(1U, 1U), ActivationLayerInfo(), fast_math); |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 144 | ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
| 145 | } |
Michalis Spyrou | aeebe4a | 2019-01-09 14:21:03 +0000 | [diff] [blame] | 146 | // clang-format on |
| 147 | // *INDENT-ON* |
| 148 | TEST_SUITE_END() // ConvolutionLayer |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 149 | |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 150 | TEST_SUITE(WinogradLayer) |
| 151 | template <typename T> |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 152 | using NEWinogradConvolutionLayerFixture = WinogradConvolutionLayerFastMathValidationFixture<Tensor, Accessor, NEWinogradConvolutionLayer, T>; |
Manuel Bottini | ca62c6f | 2021-03-23 11:50:34 +0000 | [diff] [blame] | 153 | template <typename T> |
| 154 | using NEWinogradConvolutionLayerMixedDataLayoutFixture = WinogradConvolutionLayerFastMathValidationFixture<Tensor, Accessor, NEWinogradConvolutionLayer, T, T, true, true>; |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 155 | |
Andrew Mundy | 4d9379a | 2018-03-15 16:47:03 +0000 | [diff] [blame] | 156 | template <typename T> |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 157 | using NEWinogradConvolutionLayerNoBiasFixture = WinogradConvolutionLayerFastMathValidationFixture<Tensor, Accessor, NEWinogradConvolutionLayer, T, T, false>; |
Andrew Mundy | 4d9379a | 2018-03-15 16:47:03 +0000 | [diff] [blame] | 158 | |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 159 | TEST_SUITE(FP32) |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 160 | |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 161 | TEST_SUITE(Conv1x3) |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 162 | FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 163 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), |
| 164 | framework::dataset::make("DataType", { DataType::F32 })), |
| 165 | ActivationFunctionsDataset), |
| 166 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 167 | { |
| 168 | // Validate output |
| 169 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
| 170 | } |
Manuel Bottini | ca62c6f | 2021-03-23 11:50:34 +0000 | [diff] [blame] | 171 | FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, NEWinogradConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 172 | combine(combine(combine(combine(combine(combine(combine(combine( |
| 173 | framework::dataset::make("Input", TensorShape(8U, 8U, 32U)), |
| 174 | framework::dataset::make("Weight", TensorShape(1U, 3U, 32U, 1U))), |
| 175 | framework::dataset::make("Bias", TensorShape(1U))), |
| 176 | framework::dataset::make("Output", TensorShape(8U, 6U, 1U))), |
| 177 | framework::dataset::make("PadStrideInfo", PadStrideInfo(1, 1, 0, 0))), |
| 178 | framework::dataset::make("Dilation", Size2D(1U, 1U))), |
| 179 | framework::dataset::make("DataType", { DataType::F32 })), |
| 180 | ActivationFunctionsDataset), |
| 181 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 182 | { |
| 183 | // Validate output |
| 184 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
| 185 | } |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 186 | FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, |
| 187 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), |
| 188 | framework::dataset::make("DataType", { DataType::F32 })), |
| 189 | ActivationFunctionsDataset), |
| 190 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 191 | { |
| 192 | // Validate output |
Pablo Tello | 952aeb1 | 2018-09-12 09:47:25 +0100 | [diff] [blame] | 193 | validate(Accessor(_target), _reference, abs_tolerance_1xN_f32); |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 194 | } |
| 195 | |
| 196 | TEST_SUITE_END() // Conv1x3 |
| 197 | |
| 198 | TEST_SUITE(Conv3x1) |
| 199 | FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 200 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), |
| 201 | framework::dataset::make("DataType", { DataType::F32 })), |
| 202 | ActivationFunctionsDataset), |
| 203 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 204 | { |
| 205 | // Validate output |
| 206 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
| 207 | } |
| 208 | FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, |
| 209 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), |
| 210 | framework::dataset::make("DataType", { DataType::F32 })), |
| 211 | ActivationFunctionsDataset), |
| 212 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 213 | { |
| 214 | // Validate output |
Pablo Tello | 952aeb1 | 2018-09-12 09:47:25 +0100 | [diff] [blame] | 215 | validate(Accessor(_target), _reference, abs_tolerance_1xN_f32); |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 216 | } |
| 217 | |
| 218 | TEST_SUITE_END() // Conv3x1 |
| 219 | |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 220 | TEST_SUITE(Conv1x5) |
| 221 | FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 222 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), |
| 223 | framework::dataset::make("DataType", { DataType::F32 })), |
| 224 | ActivationFunctionsDataset), |
| 225 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 226 | { |
| 227 | // Validate output |
| 228 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
| 229 | } |
| 230 | FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, |
| 231 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), |
| 232 | framework::dataset::make("DataType", { DataType::F32 })), |
| 233 | ActivationFunctionsDataset), |
| 234 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 235 | { |
| 236 | // Validate output |
Pablo Tello | 952aeb1 | 2018-09-12 09:47:25 +0100 | [diff] [blame] | 237 | validate(Accessor(_target), _reference, abs_tolerance_1xN_f32); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 238 | } |
| 239 | |
| 240 | TEST_SUITE_END() // Conv1x5 |
| 241 | |
| 242 | TEST_SUITE(Conv5x1) |
| 243 | FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 244 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), |
| 245 | framework::dataset::make("DataType", { DataType::F32 })), |
| 246 | ActivationFunctionsDataset), |
| 247 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 248 | { |
| 249 | // Validate output |
| 250 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
| 251 | } |
| 252 | FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, |
| 253 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), |
| 254 | framework::dataset::make("DataType", { DataType::F32 })), |
| 255 | ActivationFunctionsDataset), |
| 256 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 257 | { |
| 258 | // Validate output |
Pablo Tello | 952aeb1 | 2018-09-12 09:47:25 +0100 | [diff] [blame] | 259 | validate(Accessor(_target), _reference, abs_tolerance_1xN_f32); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 260 | } |
| 261 | |
| 262 | TEST_SUITE_END() // Conv5x1 |
| 263 | |
Pablo Tello | 96e922e | 2018-09-26 11:25:15 +0100 | [diff] [blame] | 264 | TEST_SUITE(Conv7x1) |
| 265 | FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 266 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer7x1Dataset(), |
| 267 | framework::dataset::make("DataType", { DataType::F32 })), |
| 268 | ActivationFunctionsDataset), |
| 269 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 270 | { |
| 271 | // Validate output |
| 272 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
| 273 | } |
| 274 | |
| 275 | FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, |
| 276 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer7x1Dataset(), |
| 277 | framework::dataset::make("DataType", { DataType::F32 })), |
| 278 | ActivationFunctionsDataset), |
| 279 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 280 | { |
| 281 | // Validate output |
| 282 | validate(Accessor(_target), _reference, abs_tolerance_1xN_f32); |
| 283 | } |
| 284 | TEST_SUITE_END() // Conv7x1 |
| 285 | |
| 286 | TEST_SUITE(Conv1x7) |
| 287 | FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 288 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x7Dataset(), |
| 289 | framework::dataset::make("DataType", { DataType::F32 })), |
| 290 | ActivationFunctionsDataset), |
| 291 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 292 | { |
| 293 | // Validate output |
| 294 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
| 295 | } |
| 296 | |
| 297 | FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, |
| 298 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer7x1Dataset(), |
| 299 | framework::dataset::make("DataType", { DataType::F32 })), |
| 300 | ActivationFunctionsDataset), |
| 301 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 302 | { |
| 303 | // Validate output |
| 304 | validate(Accessor(_target), _reference, abs_tolerance_1xN_f32); |
| 305 | } |
| 306 | TEST_SUITE_END() // Conv1x7 |
| 307 | |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 308 | TEST_SUITE(Conv3x3) |
| 309 | FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 310 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 311 | framework::dataset::make("DataType", { DataType::F32 })), |
| 312 | ActivationFunctionsDataset), |
| 313 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 314 | |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 315 | { |
| 316 | // Validate output |
Georgios Pinitas | 8dea602 | 2018-06-08 18:33:31 +0100 | [diff] [blame] | 317 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 318 | } |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 319 | FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, |
| 320 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), |
| 321 | framework::dataset::make("DataType", { DataType::F32 })), |
| 322 | ActivationFunctionsDataset), |
| 323 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 324 | |
| 325 | { |
| 326 | // Validate output |
Pablo Tello | af7e600 | 2018-10-08 15:53:14 +0100 | [diff] [blame] | 327 | // floating point arithmetic the Winograd results will not be exactly the same as direct convolution, especially for big shapes |
| 328 | validate(Accessor(_target), _reference, rel_tolerance_winograd_3x3_f32, 0.f, float(abs_tolerance_f32)); |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 329 | } |
| 330 | TEST_SUITE_END() // Conv3x3 |
| 331 | |
| 332 | TEST_SUITE(Conv5x5) |
| 333 | FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 334 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), |
| 335 | framework::dataset::make("DataType", { DataType::F32 })), |
| 336 | ActivationFunctionsDataset), |
| 337 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 338 | |
| 339 | { |
| 340 | // Validate output |
| 341 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
| 342 | } |
| 343 | FIXTURE_DATA_TEST_CASE(RunLarge, NEWinogradConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, |
| 344 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), |
| 345 | framework::dataset::make("DataType", { DataType::F32 })), |
| 346 | ActivationFunctionsDataset), |
| 347 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 348 | |
| 349 | { |
| 350 | // Validate output |
| 351 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
| 352 | } |
| 353 | |
| 354 | TEST_SUITE_END() // Conv5x5 |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 355 | |
Andrew Mundy | 4d9379a | 2018-03-15 16:47:03 +0000 | [diff] [blame] | 356 | FIXTURE_DATA_TEST_CASE(RunSmallNoBias, NEWinogradConvolutionLayerNoBiasFixture<float>, framework::DatasetMode::PRECOMMIT, |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 357 | combine(combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), |
| 358 | datasets::SmallWinogradConvolutionLayer5x5Dataset()), |
| 359 | framework::dataset::make("DataType", { DataType::F32 })), |
| 360 | ActivationFunctionsDataset), |
| 361 | |
| 362 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Andrew Mundy | 4d9379a | 2018-03-15 16:47:03 +0000 | [diff] [blame] | 363 | { |
| 364 | // Validate output |
Georgios Pinitas | 8dea602 | 2018-06-08 18:33:31 +0100 | [diff] [blame] | 365 | validate(Accessor(_target), _reference, abs_tolerance_f32); |
Andrew Mundy | 4d9379a | 2018-03-15 16:47:03 +0000 | [diff] [blame] | 366 | } |
| 367 | |
Michalis Spyrou | aeebe4a | 2019-01-09 14:21:03 +0000 | [diff] [blame] | 368 | TEST_SUITE_END() // FP32 |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 369 | |
| 370 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 371 | TEST_SUITE(FP16) |
| 372 | using CLWinogradConvolutionLayerFastMathFixture16 = WinogradConvolutionLayerFastMathValidationFixture<Tensor, Accessor, NEWinogradConvolutionLayer, half, float>; |
| 373 | |
| 374 | TEST_SUITE(Conv3x3) |
| 375 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 376 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), |
| 377 | framework::dataset::make("DataType", { DataType::F16 })), |
| 378 | ActivationFunctionsDataset), |
| 379 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 380 | |
| 381 | { |
| 382 | // Validate output |
| 383 | validate(Accessor(_target), _reference, tolerance_convolution_layer_f16, tolerance_num_f16); |
| 384 | } |
| 385 | |
| 386 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 387 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), |
| 388 | framework::dataset::make("DataType", { DataType::F16 })), |
| 389 | ActivationFunctionsDataset), |
| 390 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 391 | |
| 392 | { |
| 393 | // Validate output |
| 394 | validate(Accessor(_target), _reference, tolerance_convolution_layer_f16, tolerance_num_f16); |
| 395 | } |
| 396 | TEST_SUITE_END() // Conv3x3 |
| 397 | TEST_SUITE_END() // FP16 |
| 398 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
Michalis Spyrou | aeebe4a | 2019-01-09 14:21:03 +0000 | [diff] [blame] | 399 | TEST_SUITE_END() // WinogradLayer |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 400 | |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 401 | TEST_SUITE(GEMMConvolutionLayer) |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 402 | template <typename T> |
Georgios Pinitas | c0b6f76 | 2020-11-02 01:37:17 +0000 | [diff] [blame] | 403 | using NEGEMMConvolutionLayerFixture = ConvolutionValidationFixture<Tensor, Accessor, NEConvolutionLayer, T>; |
Manuel Bottini | ca62c6f | 2021-03-23 11:50:34 +0000 | [diff] [blame] | 404 | template <typename T> |
| 405 | using NEGEMMConvolutionLayerMixedDataLayoutFixture = ConvolutionValidationFixture<Tensor, Accessor, NEConvolutionLayer, T, true>; |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 406 | |
| 407 | TEST_SUITE(Float) |
Georgios Pinitas | c7b183a | 2020-03-06 18:12:09 +0000 | [diff] [blame] | 408 | #if defined(__ARM_FEATURE_BF16_VECTOR_ARITHMETIC) || defined(ARM_COMPUTE_FORCE_BF16) |
| 409 | TEST_SUITE(BFLOAT16) |
Michele Di Giorgio | e37662a | 2020-04-29 15:14:18 +0100 | [diff] [blame] | 410 | FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| 411 | framework::dataset::make("ReshapeWeights", { true })), |
| 412 | framework::dataset::make("DataType", DataType::BFLOAT16)), |
| 413 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 414 | ActivationFunctionsDataset)) |
Georgios Pinitas | c7b183a | 2020-03-06 18:12:09 +0000 | [diff] [blame] | 415 | { |
| 416 | // Validate output |
| 417 | validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, float(abs_tolerance_f32)); |
| 418 | } |
| 419 | TEST_SUITE_END() // BFLOAT16 |
| 420 | #endif /* defined(__ARM_FEATURE_BF16_VECTOR_ARITHMETIC) || defined(ARM_COMPUTE_FORCE_BF16) */ |
| 421 | |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 422 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 423 | TEST_SUITE(FP16) |
Michele Di Giorgio | e37662a | 2020-04-29 15:14:18 +0100 | [diff] [blame] | 424 | FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| 425 | framework::dataset::make("ReshapeWeights", { true })), |
| 426 | framework::dataset::make("DataType", DataType::F16)), |
| 427 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 428 | ActivationFunctionsDataset)) |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 429 | { |
| 430 | // Validate output |
Gian Marco Iodice | 41acb76 | 2018-08-23 10:25:06 +0100 | [diff] [blame] | 431 | validate(Accessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_f16); |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 432 | } |
Michalis Spyrou | aeebe4a | 2019-01-09 14:21:03 +0000 | [diff] [blame] | 433 | TEST_SUITE_END() // FP16 |
| 434 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 435 | |
| 436 | TEST_SUITE(FP32) |
Michele Di Giorgio | e37662a | 2020-04-29 15:14:18 +0100 | [diff] [blame] | 437 | FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| 438 | framework::dataset::make("ReshapeWeights", { true })), |
| 439 | framework::dataset::make("DataType", DataType::F32)), |
| 440 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 441 | ActivationFunctionsDataset)) |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 442 | { |
| 443 | // Validate output |
Georgios Pinitas | 8dea602 | 2018-06-08 18:33:31 +0100 | [diff] [blame] | 444 | validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, float(abs_tolerance_f32)); |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 445 | } |
Manuel Bottini | ca62c6f | 2021-03-23 11:50:34 +0000 | [diff] [blame] | 446 | FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, NEGEMMConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::ALL, |
| 447 | combine(combine(combine(combine(combine(combine(combine(combine(combine( |
| 448 | framework::dataset::make("Input", TensorShape(23U, 27U, 5U)), |
| 449 | framework::dataset::make("Weights", TensorShape(3U, 3U, 5U, 2U))), |
| 450 | framework::dataset::make("Bias", TensorShape(2U))), |
| 451 | framework::dataset::make("Output", TensorShape(11U, 25U, 2U))), |
| 452 | framework::dataset::make("PadStrideInfo", PadStrideInfo(2, 1, 0, 0))), |
| 453 | framework::dataset::make("Dilation", Size2D(1, 1))), |
| 454 | framework::dataset::make("ReshapeWeights", { true })), |
| 455 | framework::dataset::make("DataType", DataType::F32)), |
| 456 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 457 | ActivationFunctionsDataset)) |
| 458 | { |
| 459 | // Validate output |
| 460 | validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, float(abs_tolerance_f32)); |
| 461 | } |
Michalis Spyrou | aeebe4a | 2019-01-09 14:21:03 +0000 | [diff] [blame] | 462 | TEST_SUITE_END() // FP32 |
| 463 | TEST_SUITE_END() // Float |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 464 | |
| 465 | template <typename T> |
Georgios Pinitas | c0b6f76 | 2020-11-02 01:37:17 +0000 | [diff] [blame] | 466 | using NEGEMMConvolutionLayerQuantizedFixture = ConvolutionValidationQuantizedFixture<Tensor, Accessor, NEConvolutionLayer, T>; |
Manuel Bottini | ca62c6f | 2021-03-23 11:50:34 +0000 | [diff] [blame] | 467 | template <typename T> |
| 468 | using NEGEMMConvolutionLayerQuantizedMixedDataLayoutFixture = ConvolutionValidationQuantizedFixture<Tensor, Accessor, NEConvolutionLayer, T, true>; |
Isabella Gottardi | e6630e4 | 2018-01-18 15:50:39 +0000 | [diff] [blame] | 469 | |
Georgios Pinitas | dbdea0d | 2019-10-16 19:21:40 +0100 | [diff] [blame] | 470 | template <typename T> |
Georgios Pinitas | c0b6f76 | 2020-11-02 01:37:17 +0000 | [diff] [blame] | 471 | using NEGEMMConvolutionLayerQuantizedPerChannelFixture = ConvolutionValidationQuantizedPerChannelFixture<Tensor, Accessor, NEConvolutionLayer, T, int8_t>; |
Georgios Pinitas | dbdea0d | 2019-10-16 19:21:40 +0100 | [diff] [blame] | 472 | |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 473 | const auto QuantizedActivationFunctionsDataset = framework::dataset::make("ActivationInfo", |
| 474 | { |
| 475 | ActivationLayerInfo(), |
| 476 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 477 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f) |
| 478 | }); |
Isabella Gottardi | e6630e4 | 2018-01-18 15:50:39 +0000 | [diff] [blame] | 479 | TEST_SUITE(Quantized) |
| 480 | TEST_SUITE(QASYMM8) |
Michele Di Giorgio | e37662a | 2020-04-29 15:14:18 +0100 | [diff] [blame] | 481 | FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| 482 | framework::dataset::make("ReshapeWeights", { true })), |
| 483 | framework::dataset::make("DataType", DataType::QASYMM8)), |
| 484 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 485 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), |
| 486 | QuantizedActivationFunctionsDataset)) |
Isabella Gottardi | e6630e4 | 2018-01-18 15:50:39 +0000 | [diff] [blame] | 487 | { |
| 488 | // Validate output |
| 489 | validate(Accessor(_target), _reference, tolerance_qasymm8); |
| 490 | } |
Manuel Bottini | ca62c6f | 2021-03-23 11:50:34 +0000 | [diff] [blame] | 491 | FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, NEGEMMConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, |
| 492 | combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( |
| 493 | framework::dataset::make("Input", TensorShape(23U, 27U, 5U)), |
| 494 | framework::dataset::make("Weights", TensorShape(3U, 3U, 5U, 2U))), |
| 495 | framework::dataset::make("Bias", TensorShape(2U))), |
| 496 | framework::dataset::make("Output", TensorShape(11U, 25U, 2U))), |
| 497 | framework::dataset::make("PadStrideInfo", PadStrideInfo(2, 1, 0, 0))), |
| 498 | framework::dataset::make("Dilation", Size2D(1, 1))), |
| 499 | framework::dataset::make("ReshapeWeights", { true })), |
| 500 | framework::dataset::make("DataType", DataType::QASYMM8)), |
| 501 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 502 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), |
| 503 | QuantizedActivationFunctionsDataset)) |
| 504 | { |
| 505 | // Validate output |
| 506 | validate(Accessor(_target), _reference, tolerance_qasymm8); |
| 507 | } |
Michalis Spyrou | aeebe4a | 2019-01-09 14:21:03 +0000 | [diff] [blame] | 508 | TEST_SUITE_END() // QASYMM8 |
Georgios Pinitas | dbdea0d | 2019-10-16 19:21:40 +0100 | [diff] [blame] | 509 | |
Georgios Pinitas | 6e1791b | 2019-12-02 19:01:25 +0000 | [diff] [blame] | 510 | TEST_SUITE(QASYMM8_SIGNED) |
Michele Di Giorgio | e37662a | 2020-04-29 15:14:18 +0100 | [diff] [blame] | 511 | FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| 512 | framework::dataset::make("ReshapeWeights", { true })), |
| 513 | framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), |
| 514 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 515 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.01f, -10) })), |
| 516 | QuantizedActivationFunctionsDataset)) |
Georgios Pinitas | 6e1791b | 2019-12-02 19:01:25 +0000 | [diff] [blame] | 517 | { |
| 518 | // Validate output |
| 519 | validate(Accessor(_target), _reference, tolerance_qasymm8); |
| 520 | } |
Manuel Bottini | ca62c6f | 2021-03-23 11:50:34 +0000 | [diff] [blame] | 521 | FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, NEGEMMConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, |
| 522 | combine(combine(combine(combine(combine(combine(combine(combine(combine(combine( |
| 523 | framework::dataset::make("Input", TensorShape(23U, 27U, 5U)), |
| 524 | framework::dataset::make("Weights", TensorShape(3U, 3U, 5U, 2U))), |
| 525 | framework::dataset::make("Bias", TensorShape(2U))), |
| 526 | framework::dataset::make("Output", TensorShape(11U, 25U, 2U))), |
| 527 | framework::dataset::make("PadStrideInfo", PadStrideInfo(2, 1, 0, 0))), |
| 528 | framework::dataset::make("Dilation", Size2D(1, 1))), |
| 529 | framework::dataset::make("ReshapeWeights", { true })), |
| 530 | framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), |
| 531 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 532 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), |
| 533 | QuantizedActivationFunctionsDataset)) |
| 534 | { |
| 535 | // Validate output |
| 536 | validate(Accessor(_target), _reference, tolerance_qasymm8); |
| 537 | } |
Georgios Pinitas | 6e1791b | 2019-12-02 19:01:25 +0000 | [diff] [blame] | 538 | TEST_SUITE_END() // QASYMM8_SIGNED |
| 539 | |
Georgios Pinitas | dbdea0d | 2019-10-16 19:21:40 +0100 | [diff] [blame] | 540 | TEST_SUITE(QSYMM8_PER_CHANNEL) |
Michele Di Giorgio | e37662a | 2020-04-29 15:14:18 +0100 | [diff] [blame] | 541 | FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::ALL, |
Georgios Pinitas | 63d4dbd | 2019-11-08 11:51:56 +0000 | [diff] [blame] | 542 | combine(combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
Georgios Pinitas | dbdea0d | 2019-10-16 19:21:40 +0100 | [diff] [blame] | 543 | framework::dataset::make("ReshapeWeights", { true })), |
| 544 | framework::dataset::make("DataType", { DataType::QASYMM8 })), |
| 545 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 546 | QuantizationData), |
| 547 | QuantizedActivationFunctionsDataset), |
| 548 | framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) |
| 549 | { |
| 550 | // Validate output |
| 551 | validate(Accessor(_target), _reference, tolerance_qasymm8); |
| 552 | } |
Sang-Hoon Park | 1fad814 | 2020-07-03 13:07:35 +0100 | [diff] [blame] | 553 | FIXTURE_DATA_TEST_CASE(RunSmallSigned, NEGEMMConvolutionLayerQuantizedPerChannelFixture<int8_t>, framework::DatasetMode::ALL, |
| 554 | combine(combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| 555 | framework::dataset::make("ReshapeWeights", { true })), |
| 556 | framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })), |
| 557 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 558 | QuantizationData), |
| 559 | QuantizedActivationFunctionsDataset), |
| 560 | framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) |
| 561 | { |
| 562 | // Validate output |
| 563 | validate(Accessor(_target), _reference, tolerance_qasymm8); |
| 564 | } |
Georgios Pinitas | dbdea0d | 2019-10-16 19:21:40 +0100 | [diff] [blame] | 565 | TEST_SUITE_END() // QSYMM8_PER_CHANNEL |
Michalis Spyrou | aeebe4a | 2019-01-09 14:21:03 +0000 | [diff] [blame] | 566 | TEST_SUITE_END() // Quantized |
Isabella Gottardi | e6630e4 | 2018-01-18 15:50:39 +0000 | [diff] [blame] | 567 | |
Michalis Spyrou | aeebe4a | 2019-01-09 14:21:03 +0000 | [diff] [blame] | 568 | TEST_SUITE_END() // GEMMConvolutionLayer |
Georgios Pinitas | c0b6f76 | 2020-11-02 01:37:17 +0000 | [diff] [blame] | 569 | |
| 570 | TEST_SUITE(DirectGEMMConv2d) |
| 571 | template <typename T> |
| 572 | using NEDirectGEMMConv2dLayerFixture = ConvolutionValidationFixture<Tensor, Accessor, NEGEMMConv2d, T>; |
| 573 | |
| 574 | TEST_SUITE(Float) |
| 575 | TEST_SUITE(FP32) |
| 576 | FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectGEMMConv2dLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| 577 | framework::dataset::make("ReshapeWeights", { true })), |
| 578 | framework::dataset::make("DataType", DataType::F32)), |
| 579 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 580 | ActivationFunctionsDataset)) |
| 581 | { |
| 582 | // Validate output |
| 583 | validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, float(abs_tolerance_f32)); |
| 584 | } |
| 585 | TEST_SUITE_END() // FP32 |
| 586 | TEST_SUITE_END() // Float |
| 587 | |
Georgios Pinitas | 61ffda4 | 2020-11-13 14:03:07 +0000 | [diff] [blame] | 588 | #ifdef __aarch64__ |
Georgios Pinitas | c0b6f76 | 2020-11-02 01:37:17 +0000 | [diff] [blame] | 589 | template <typename T> |
| 590 | using NEDirectGEMMConv2dLayerQuantizedFixture = ConvolutionValidationQuantizedFixture<Tensor, Accessor, NEGEMMConv2d, T>; |
| 591 | |
| 592 | template <typename T> |
| 593 | using NEDirectGEMMConv2dLayerQuantizedPerChannelFixture = ConvolutionValidationQuantizedPerChannelFixture<Tensor, Accessor, NEGEMMConv2d, T, int8_t>; |
| 594 | |
| 595 | const auto QuantizedActivationFunctionsDataset = framework::dataset::make("ActivationInfo", |
| 596 | { |
| 597 | ActivationLayerInfo(), |
| 598 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 599 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f) |
| 600 | }); |
| 601 | TEST_SUITE(Quantized) |
| 602 | TEST_SUITE(QASYMM8) |
| 603 | FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectGEMMConv2dLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| 604 | framework::dataset::make("ReshapeWeights", { true })), |
| 605 | framework::dataset::make("DataType", DataType::QASYMM8)), |
| 606 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 607 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), |
| 608 | QuantizedActivationFunctionsDataset)) |
| 609 | { |
| 610 | // Validate output |
| 611 | validate(Accessor(_target), _reference, tolerance_qasymm8); |
| 612 | } |
| 613 | TEST_SUITE_END() // QASYMM8 |
| 614 | |
| 615 | TEST_SUITE(QASYMM8_SIGNED) |
| 616 | FIXTURE_DATA_TEST_CASE(RunSmall, NEDirectGEMMConv2dLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| 617 | framework::dataset::make("ReshapeWeights", { true })), |
| 618 | framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), |
| 619 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 620 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.01f, -10) })), |
| 621 | QuantizedActivationFunctionsDataset)) |
| 622 | { |
| 623 | // Validate output |
| 624 | validate(Accessor(_target), _reference, tolerance_qasymm8); |
| 625 | } |
| 626 | TEST_SUITE_END() // QASYMM8_SIGNED |
| 627 | |
| 628 | TEST_SUITE(QSYMM8_PER_CHANNEL) |
| 629 | FIXTURE_DATA_TEST_CASE(RunSmallSigned, NEDirectGEMMConv2dLayerQuantizedPerChannelFixture<int8_t>, framework::DatasetMode::ALL, |
| 630 | combine(combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| 631 | framework::dataset::make("ReshapeWeights", { true })), |
| 632 | framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })), |
| 633 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 634 | QuantizationData), |
| 635 | QuantizedActivationFunctionsDataset), |
| 636 | framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) |
| 637 | { |
| 638 | // Validate output |
| 639 | validate(Accessor(_target), _reference, tolerance_qasymm8); |
| 640 | } |
| 641 | TEST_SUITE_END() // QSYMM8_PER_CHANNEL |
| 642 | TEST_SUITE_END() // Quantized |
Georgios Pinitas | 61ffda4 | 2020-11-13 14:03:07 +0000 | [diff] [blame] | 643 | #endif // __aarch64__ |
Georgios Pinitas | c0b6f76 | 2020-11-02 01:37:17 +0000 | [diff] [blame] | 644 | |
| 645 | TEST_SUITE_END() // DirectGEMMConv2d |
| 646 | |
Sheri Zhang | ac6499a | 2021-02-10 15:32:38 +0000 | [diff] [blame] | 647 | TEST_SUITE_END() // Neon |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 648 | } // namespace validation |
| 649 | } // namespace test |
| 650 | } // namespace arm_compute |