Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 1 | /* |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2019 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/CL/CLTensor.h" |
| 26 | #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| 27 | #include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h" |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 28 | #include "tests/CL/CLAccessor.h" |
| 29 | #include "tests/PaddingCalculator.h" |
Jaroslaw Rzepecki | 2ecbada | 2017-11-29 13:51:34 +0000 | [diff] [blame] | 30 | #include "tests/datasets/DirectConvolutionLayerDataset.h" |
Moritz Pflanzer | a09de0c | 2017-09-01 20:41:12 +0100 | [diff] [blame] | 31 | #include "tests/datasets/ShapeDatasets.h" |
| 32 | #include "tests/framework/Asserts.h" |
| 33 | #include "tests/framework/Macros.h" |
| 34 | #include "tests/framework/datasets/Datasets.h" |
| 35 | #include "tests/validation/Validation.h" |
| 36 | #include "tests/validation/fixtures/DirectConvolutionLayerFixture.h" |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 37 | |
| 38 | namespace arm_compute |
| 39 | { |
| 40 | namespace test |
| 41 | { |
| 42 | namespace validation |
| 43 | { |
| 44 | namespace |
| 45 | { |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 46 | // COMPMID-517 Investigate the mismatch to see whether it is a real bug |
Pablo Tello | d041a83 | 2018-10-03 17:11:09 +0100 | [diff] [blame] | 47 | RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance for floating point tests */ |
| 48 | RelativeTolerance<float> tolerance_fp32(0.02f); /**< Tolerance for floating point tests */ |
| 49 | constexpr float tolerance_num = 0.07f; /**< Tolerance number */ |
| 50 | constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance for quantized tests */ |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 51 | |
Michalis Spyrou | 4509173 | 2019-05-13 17:41:01 +0100 | [diff] [blame] | 52 | const auto data_strides = combine(framework::dataset::make("StrideX", 1, 3), framework::dataset::make("StrideY", 1, 3)); |
| 53 | const auto data_strides_small = combine(framework::dataset::make("StrideX", 1), framework::dataset::make("StrideY", 1)); |
| 54 | const auto data_ksize_one = combine(framework::dataset::make("PadX", 0, 1), combine(framework::dataset::make("PadY", 0, 1), framework::dataset::make("KernelSize", 1))); |
| 55 | const auto data_ksize_one_small = combine(framework::dataset::make("PadX", 0), combine(framework::dataset::make("PadY", 0), framework::dataset::make("KernelSize", 1))); |
| 56 | const auto data_ksize_three = combine(framework::dataset::make("PadX", 0, 2), combine(framework::dataset::make("PadY", 0, 2), framework::dataset::make("KernelSize", 3))); |
| 57 | const auto data_ksize_five = combine(framework::dataset::make("PadX", 0, 3), combine(framework::dataset::make("PadY", 0, 3), framework::dataset::make("KernelSize", 5))); |
| 58 | const auto data_ksize_nine = combine(framework::dataset::make("PadX", 0, 3), combine(framework::dataset::make("PadY", 0, 3), framework::dataset::make("KernelSize", 9))); |
| 59 | const auto data_ksize_nine_small = combine(framework::dataset::make("PadX", 0, 1), combine(framework::dataset::make("PadY", 0, 1), framework::dataset::make("KernelSize", 9))); |
Michalis Spyrou | def665a | 2017-08-14 11:26:37 +0100 | [diff] [blame] | 60 | |
Michalis Spyrou | 4509173 | 2019-05-13 17:41:01 +0100 | [diff] [blame] | 61 | const auto data_all_kernels = concat(concat(data_ksize_one, data_ksize_three), data_ksize_five); |
| 62 | |
| 63 | const auto data = combine(datasets::SmallDirectConvolutionShapes(), combine(data_strides, data_all_kernels)); |
| 64 | const auto data9x9 = combine(datasets::SmallDirectConvolutionShapes(), combine(data_strides, data_ksize_nine)); |
| 65 | const auto data_small = combine(datasets::SmallDirectConvolutionShapes(), combine(data_strides_small, data_ksize_one_small)); |
| 66 | const auto data_small9x9 = combine(datasets::SmallDirectConvolutionShapes(), combine(data_strides_small, data_ksize_nine_small)); |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 67 | |
| 68 | /** Direct convolution nightly data set. */ |
Michalis Spyrou | 4509173 | 2019-05-13 17:41:01 +0100 | [diff] [blame] | 69 | const auto data_nightly = combine(data, framework::dataset::make("NumKernels", { 1, 4 })); |
| 70 | const auto data_nightly_9x9 = combine(data9x9, framework::dataset::make("NumKernels", { 1, 4 })); |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 71 | /** Direct convolution precommit data set. */ |
Michalis Spyrou | 4509173 | 2019-05-13 17:41:01 +0100 | [diff] [blame] | 72 | const auto data_precommit = combine(data_small, framework::dataset::make("NumKernels", { 1 })); |
| 73 | const auto data_precommit_9x9 = combine(data_small9x9, framework::dataset::make("NumKernels", { 1 })); |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 74 | |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 75 | /** Activation function Dataset*/ |
| 76 | const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", |
Michalis Spyrou | 5ce99a2 | 2019-01-25 14:17:49 +0000 | [diff] [blame] | 77 | { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f) }); |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 78 | } // namespace |
| 79 | |
| 80 | TEST_SUITE(CL) |
| 81 | TEST_SUITE(DirectConvolutionLayer) |
| 82 | |
| 83 | //TODO(COMPMID-415): Configuration tests? |
| 84 | |
Georgios Pinitas | 30902ed | 2017-11-14 15:32:57 +0000 | [diff] [blame] | 85 | // *INDENT-OFF* |
| 86 | // clang-format off |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 87 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip( |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 88 | framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/weights |
| 89 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching input feature maps |
| 90 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Unsupported kernel width |
| 91 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Non-rectangular weights dimensions |
| 92 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid weights dimensions |
| 93 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid stride |
| 94 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases size |
| 95 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases dimensions |
| 96 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size |
| 97 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink |
| 98 | TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), |
Georgios Pinitas | 30902ed | 2017-11-14 15:32:57 +0000 | [diff] [blame] | 99 | }), |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 100 | framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F16), |
| 101 | TensorInfo(TensorShape(3U, 3U, 3U, 4U), 1, DataType::F32), |
Michalis Spyrou | 4509173 | 2019-05-13 17:41:01 +0100 | [diff] [blame] | 102 | TensorInfo(TensorShape(11U, 11U, 2U, 4U), 1, DataType::F32), |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 103 | TensorInfo(TensorShape(5U, 3U, 2U, 4U), 1, DataType::F32), |
| 104 | TensorInfo(TensorShape(3U, 3U, 2U, 4U, 3U), 1, DataType::F32), |
| 105 | TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), |
| 106 | TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), |
| 107 | TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), |
| 108 | TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), |
| 109 | TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), |
| 110 | TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), |
Georgios Pinitas | 30902ed | 2017-11-14 15:32:57 +0000 | [diff] [blame] | 111 | })), |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 112 | framework::dataset::make("BiasesInfo",{ TensorInfo(TensorShape(4U), 1, DataType::F32), |
| 113 | TensorInfo(TensorShape(4U), 1, DataType::F32), |
| 114 | TensorInfo(TensorShape(4U), 1, DataType::F32), |
| 115 | TensorInfo(TensorShape(4U), 1, DataType::F32), |
| 116 | TensorInfo(TensorShape(4U), 1, DataType::F32), |
| 117 | TensorInfo(TensorShape(4U), 1, DataType::F32), |
| 118 | TensorInfo(TensorShape(3U), 1, DataType::F32), |
| 119 | TensorInfo(TensorShape(4U, 2U), 1, DataType::F32), |
| 120 | TensorInfo(TensorShape(4U), 1, DataType::F32), |
| 121 | TensorInfo(TensorShape(4U), 1, DataType::F32), |
| 122 | TensorInfo(TensorShape(4U), 1, DataType::F32), |
Georgios Pinitas | 30902ed | 2017-11-14 15:32:57 +0000 | [diff] [blame] | 123 | })), |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 124 | framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), |
| 125 | TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), |
| 126 | TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), |
| 127 | TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), |
| 128 | TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), |
| 129 | TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), |
| 130 | TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), |
| 131 | TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), |
| 132 | TensorInfo(TensorShape(26U, 11U, 4U), 1, DataType::F32), |
| 133 | TensorInfo(TensorShape(25U, 11U, 4U), 1, DataType::F32), |
| 134 | TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), |
Georgios Pinitas | 30902ed | 2017-11-14 15:32:57 +0000 | [diff] [blame] | 135 | })), |
| 136 | framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), |
| 137 | PadStrideInfo(1, 1, 0, 0), |
| 138 | PadStrideInfo(1, 1, 0, 0), |
| 139 | PadStrideInfo(1, 1, 0, 0), |
| 140 | PadStrideInfo(1, 1, 0, 0), |
| 141 | PadStrideInfo(3, 3, 0, 0), |
| 142 | PadStrideInfo(1, 1, 0, 0), |
| 143 | PadStrideInfo(1, 1, 0, 0), |
| 144 | PadStrideInfo(1, 1, 0, 0), |
| 145 | PadStrideInfo(1, 1, 0, 0), |
Giorgio Arena | 5948634 | 2017-12-01 10:42:47 +0000 | [diff] [blame] | 146 | PadStrideInfo(1, 1, 0, 0), |
Georgios Pinitas | 30902ed | 2017-11-14 15:32:57 +0000 | [diff] [blame] | 147 | })), |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 148 | framework::dataset::make("ActivationInfo", |
Georgios Pinitas | 30902ed | 2017-11-14 15:32:57 +0000 | [diff] [blame] | 149 | { |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 150 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) |
| 151 | })), |
| 152 | framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), |
| 153 | input_info, weights_info, biases_info, output_info, conv_info, act_info, expected) |
| 154 | { |
| 155 | bool is_valid = bool(CLDirectConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, act_info)); |
Georgios Pinitas | 631c41a | 2017-12-06 11:53:03 +0000 | [diff] [blame] | 156 | ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
Georgios Pinitas | 30902ed | 2017-11-14 15:32:57 +0000 | [diff] [blame] | 157 | } |
| 158 | // clang-format on |
| 159 | // *INDENT-ON* |
| 160 | |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 161 | template <typename T> |
| 162 | using CLDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; |
Jaroslaw Rzepecki | 2ecbada | 2017-11-29 13:51:34 +0000 | [diff] [blame] | 163 | template <typename T> |
| 164 | using CLDirectConvolutionValidationWithTensorShapesFixture = DirectConvolutionValidationWithTensorShapesFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 165 | |
| 166 | TEST_SUITE(Float) |
| 167 | TEST_SUITE(FP16) |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 168 | FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make("DataType", DataType::F16)), |
| 169 | ActivationFunctionsDataset), |
| 170 | framework::dataset::make("DataLayout", DataLayout::NCHW))) |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 171 | { |
| 172 | // Validate output |
steniu01 | 3e05e4e | 2017-08-25 17:18:01 +0100 | [diff] [blame] | 173 | validate(CLAccessor(_target), _reference, tolerance_fp16, tolerance_num); |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 174 | } |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 175 | FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make("DataType", DataType::F16)), |
| 176 | ActivationFunctionsDataset), |
| 177 | framework::dataset::make("DataLayout", DataLayout::NCHW))) |
| 178 | { |
| 179 | // Validate output |
| 180 | validate(CLAccessor(_target), _reference, tolerance_fp16, tolerance_num); |
| 181 | } |
Michalis Spyrou | 4509173 | 2019-05-13 17:41:01 +0100 | [diff] [blame] | 182 | FIXTURE_DATA_TEST_CASE(RunLarge9x9, CLDirectConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly_9x9, framework::dataset::make("DataType", |
| 183 | DataType::F16)), |
| 184 | ActivationFunctionsDataset), |
| 185 | framework::dataset::make("DataLayout", { DataLayout::NHWC }))) |
| 186 | { |
| 187 | validate(CLAccessor(_target), _reference, tolerance_fp16, tolerance_num); |
| 188 | } |
| 189 | FIXTURE_DATA_TEST_CASE(RunSmall9x9, CLDirectConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit_9x9, framework::dataset::make("DataType", |
| 190 | DataType::F16)), |
| 191 | ActivationFunctionsDataset), |
| 192 | framework::dataset::make("DataLayout", { DataLayout::NHWC }))) |
| 193 | { |
| 194 | validate(CLAccessor(_target), _reference, tolerance_fp16, tolerance_num); |
| 195 | } |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 196 | TEST_SUITE_END() // FP16 |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 197 | |
| 198 | TEST_SUITE(FP32) |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 199 | FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make("DataType", |
| 200 | DataType::F32)), |
| 201 | ActivationFunctionsDataset), |
| 202 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 203 | { |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 204 | validate(CLAccessor(_target), _reference, tolerance_fp32); |
| 205 | } |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 206 | FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make("DataType", DataType::F32)), |
| 207 | ActivationFunctionsDataset), |
| 208 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 209 | { |
| 210 | validate(CLAccessor(_target), _reference, tolerance_fp32); |
| 211 | } |
Michalis Spyrou | 4509173 | 2019-05-13 17:41:01 +0100 | [diff] [blame] | 212 | FIXTURE_DATA_TEST_CASE(RunLarge9x9, CLDirectConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly_9x9, framework::dataset::make("DataType", |
| 213 | DataType::F32)), |
| 214 | ActivationFunctionsDataset), |
| 215 | framework::dataset::make("DataLayout", { DataLayout::NHWC }))) |
| 216 | { |
| 217 | validate(CLAccessor(_target), _reference, tolerance_fp32); |
| 218 | } |
| 219 | FIXTURE_DATA_TEST_CASE(RunSmall9x9, CLDirectConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit_9x9, framework::dataset::make("DataType", |
| 220 | DataType::F32)), |
| 221 | ActivationFunctionsDataset), |
| 222 | framework::dataset::make("DataLayout", { DataLayout::NHWC }))) |
| 223 | { |
| 224 | validate(CLAccessor(_target), _reference, tolerance_fp32); |
| 225 | } |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 226 | TEST_SUITE_END() // FP32 |
Jaroslaw Rzepecki | 2ecbada | 2017-11-29 13:51:34 +0000 | [diff] [blame] | 227 | |
| 228 | TEST_SUITE(FP32_CustomDataset) |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 229 | FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionValidationWithTensorShapesFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::DirectConvolutionLayerDataset(), |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 230 | framework::dataset::make("DataType", DataType::F32)), |
| 231 | ActivationFunctionsDataset)) |
Jaroslaw Rzepecki | 2ecbada | 2017-11-29 13:51:34 +0000 | [diff] [blame] | 232 | { |
| 233 | // Validate output |
| 234 | validate(CLAccessor(_target), _reference, tolerance_fp32); |
| 235 | } |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 236 | TEST_SUITE_END() // FP32_CustomDataset |
| 237 | TEST_SUITE_END() // Float |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 238 | |
Michalis Spyrou | def665a | 2017-08-14 11:26:37 +0100 | [diff] [blame] | 239 | template <typename T> |
Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 240 | using CLDirectConvolutionLayerQuantizedFixture = DirectConvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; |
Jaroslaw Rzepecki | 2ecbada | 2017-11-29 13:51:34 +0000 | [diff] [blame] | 241 | template <typename T> |
| 242 | using CLDirectConvolutionValidationWithTensorShapesQuantizedFixture = DirectConvolutionValidationWithTensorShapesQuantizedFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; |
Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 243 | |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 244 | const auto QuantizedActivationFunctionsDataset = framework::dataset::make("ActivationInfo", |
| 245 | { |
| 246 | ActivationLayerInfo(), |
| 247 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 248 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f) |
| 249 | }); |
Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 250 | TEST_SUITE(Quantized) |
| 251 | TEST_SUITE(QASYMM8) |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 252 | FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data_precommit, framework::dataset::make("DataType", |
| 253 | DataType::QASYMM8)), |
| 254 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255, 10) })), |
| 255 | QuantizedActivationFunctionsDataset)) |
Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 256 | { |
| 257 | // Validate output |
| 258 | validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| 259 | } |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 260 | FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data_nightly, framework::dataset::make("DataType", |
| 261 | DataType::QASYMM8)), |
| 262 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255, 10) })), |
| 263 | QuantizedActivationFunctionsDataset)) |
| 264 | { |
| 265 | // Validate output |
| 266 | validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| 267 | } |
| 268 | TEST_SUITE_END() // QASYMM8 |
Jaroslaw Rzepecki | 2ecbada | 2017-11-29 13:51:34 +0000 | [diff] [blame] | 269 | |
| 270 | TEST_SUITE(QASYMM8_CustomDataset) |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 271 | FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionValidationWithTensorShapesQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::DirectConvolutionLayerDataset(), |
Jaroslaw Rzepecki | 2ecbada | 2017-11-29 13:51:34 +0000 | [diff] [blame] | 272 | framework::dataset::make("DataType", DataType::QASYMM8)), |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 273 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255, 127) })), |
| 274 | QuantizedActivationFunctionsDataset)) |
Jaroslaw Rzepecki | 2ecbada | 2017-11-29 13:51:34 +0000 | [diff] [blame] | 275 | { |
| 276 | // Validate output |
| 277 | validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| 278 | } |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 279 | TEST_SUITE_END() // QASYMM8_CustomDataset |
| 280 | TEST_SUITE_END() // Quantized |
Chunosov | d621bca | 2017-11-03 17:33:15 +0700 | [diff] [blame] | 281 | |
Michalis Spyrou | 064add6 | 2018-11-01 18:14:27 +0000 | [diff] [blame] | 282 | TEST_SUITE_END() // DirectConvolutionLayer |
| 283 | TEST_SUITE_END() // Float |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 284 | } // namespace validation |
| 285 | } // namespace test |
Anthony Barbier | 1c0d0ff | 2018-01-31 13:05:09 +0000 | [diff] [blame] | 286 | } // namespace arm_compute |