Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 1 | /* |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 2 | * Copyright (c) 2018-2019 ARM Limited. |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +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, |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 22 | * SOFTWARE. |
| 23 | */ |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 24 | #include "arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h" |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 25 | #include "arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h" |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 26 | #include "arm_compute/core/Helpers.h" |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 27 | #include "arm_compute/core/Types.h" |
| 28 | #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| 29 | #include "arm_compute/runtime/CL/CLTensor.h" |
| 30 | #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 31 | #include "arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h" |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 32 | #include "arm_compute/runtime/CL/functions/CLWinogradInputTransform.h" |
| 33 | #include "tests/CL/CLAccessor.h" |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 34 | #include "tests/CL/Helper.h" |
| 35 | #include "tests/PaddingCalculator.h" |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 36 | #include "tests/datasets/LargeConvolutionLayerDataset.h" |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 37 | #include "tests/datasets/ShapeDatasets.h" |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 38 | #include "tests/datasets/SmallConvolutionLayerDataset.h" |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 39 | #include "tests/datasets/WinogradInputTransformDataset.h" |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 40 | #include "tests/datasets/WinogradOutputTransformDataset.h" |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 41 | #include "tests/framework/Asserts.h" |
| 42 | #include "tests/framework/Macros.h" |
| 43 | #include "tests/framework/datasets/Datasets.h" |
| 44 | #include "tests/validation/Validation.h" |
Georgios Pinitas | 9fb1159 | 2018-04-26 20:34:58 +0100 | [diff] [blame] | 45 | #include "tests/validation/fixtures/WinogradConvolutionLayerFixture.h" |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 46 | |
| 47 | namespace arm_compute |
| 48 | { |
| 49 | namespace test |
| 50 | { |
| 51 | namespace validation |
| 52 | { |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 53 | namespace |
| 54 | { |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 55 | // *INDENT-OFF* |
| 56 | // clang-format off |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 57 | constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 58 | const AbsoluteTolerance<half> tolerance_f16(half(0.5f)); |
Gian Marco Iodice | 4497e81 | 2018-05-08 16:36:52 +0100 | [diff] [blame] | 59 | constexpr AbsoluteTolerance<float> tolerance_convolution_layer_f32(0.1f); |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 60 | const AbsoluteTolerance<half> tolerance_convolution_layer_f16(half(0.4f)); |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 61 | RelativeTolerance<half_float::half> rel_tolerance_f16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for FP16 data types */ |
| 62 | constexpr float tolerance_num = 0.05f; /**< Tolerance number */ |
| 63 | constexpr float abs_tolerance_convolution_layer_f16 = 2.5f; /**< Tolerance number */ |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 64 | |
| 65 | // Input transform |
| 66 | const auto SmallWinogradInputTransformDatasetNCHW = |
| 67 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset2x2_3x3(), |
| 68 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset2x1_3x1(), |
| 69 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset1x2_1x3(), |
| 70 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x4_3x3(), |
| 71 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x1_3x1(), |
| 72 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset1x4_1x3(), |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 73 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x4_5x5(), |
| 74 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x1_5x1(), |
| 75 | datasets::SmallWinogradInputTransformDataset1x4_1x5())))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 76 | |
| 77 | const auto SmallWinogradInputTransformDatasetNHWC = framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x4_3x3(), |
Giorgio Arena | 149fdf3 | 2018-07-04 17:03:33 +0100 | [diff] [blame] | 78 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x1_3x1(), |
| 79 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset1x4_1x3(), |
Gian Marco Iodice | d28b751 | 2018-07-06 12:59:28 +0100 | [diff] [blame] | 80 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x4_5x5(), |
| 81 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x1_5x1(), |
| 82 | datasets::SmallWinogradInputTransformDataset1x4_1x5()))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 83 | |
| 84 | const auto LargeWinogradInputTransformDatasetNCHW = |
| 85 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset2x2_3x3(), |
| 86 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset2x1_3x1(), |
| 87 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset1x2_1x3(), |
| 88 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x4_3x3(), |
| 89 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x1_3x1(), |
| 90 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset1x4_1x3(), |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 91 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x4_5x5(), |
| 92 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x1_5x1(), |
| 93 | datasets::LargeWinogradInputTransformDataset1x4_1x5())))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 94 | |
| 95 | const auto LargeWinogradInputTransformDatasetNHWC = |
| 96 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x4_3x3(), |
Gian Marco Iodice | d28b751 | 2018-07-06 12:59:28 +0100 | [diff] [blame] | 97 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x4_5x5(), |
| 98 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x1_5x1(), |
| 99 | datasets::LargeWinogradInputTransformDataset1x4_1x5()))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 100 | |
| 101 | // Filter transform |
| 102 | const auto SmallWinogradFilterTransformDatasetNCHW = |
| 103 | framework::dataset::concat(combine(datasets::Small3x3Shapes(), framework::dataset::make("OutputTile", { Size2D(2U, 2U), Size2D(4U, 4U) })), |
| 104 | framework::dataset::concat(combine(datasets::Small3x1Shapes(), framework::dataset::make("OutputTile", { Size2D(2U, 1U), Size2D(4U, 1U) })), |
| 105 | framework::dataset::concat(combine(datasets::Small1x3Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 2U), Size2D(1U, 4U) })), |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 106 | framework::dataset::concat(combine(datasets::Small5x5Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), |
| 107 | framework::dataset::concat(combine(datasets::Small5x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 108 | combine(datasets::Small1x5Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) }))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 109 | |
| 110 | const auto SmallWinogradFilterTransformDatasetNHWC = |
| 111 | framework::dataset::concat(combine(datasets::Small3x3Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), |
Giorgio Arena | 149fdf3 | 2018-07-04 17:03:33 +0100 | [diff] [blame] | 112 | framework::dataset::concat(combine(datasets::Small3x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 113 | framework::dataset::concat(combine(datasets::Small1x3Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) })), |
Gian Marco Iodice | d28b751 | 2018-07-06 12:59:28 +0100 | [diff] [blame] | 114 | framework::dataset::concat(combine(datasets::Small5x5Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), |
| 115 | framework::dataset::concat(combine(datasets::Small5x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 116 | combine(datasets::Small1x5Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) }))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 117 | |
| 118 | const auto LargeWinogradFilterTransformDatasetNCHW = |
| 119 | framework::dataset::concat(combine(datasets::Large3x3Shapes(), framework::dataset::make("OutputTile", { Size2D(2U, 2U), Size2D(4U, 4U) })), |
| 120 | framework::dataset::concat(combine(datasets::Large3x1Shapes(), framework::dataset::make("OutputTile", { Size2D(2U, 1U), Size2D(4U, 1U) })), |
| 121 | framework::dataset::concat(combine(datasets::Large1x3Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 2U), Size2D(1U, 4U) })), |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 122 | framework::dataset::concat(combine(datasets::Large5x5Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), |
| 123 | framework::dataset::concat(combine(datasets::Large5x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 124 | combine(datasets::Large1x5Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) }))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 125 | |
| 126 | const auto LargeWinogradFilterTransformDatasetNHWC = |
| 127 | framework::dataset::concat(combine(datasets::Large3x3Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), |
Gian Marco Iodice | d28b751 | 2018-07-06 12:59:28 +0100 | [diff] [blame] | 128 | framework::dataset::concat(combine(datasets::Large3x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 129 | framework::dataset::concat(combine(datasets::Large1x3Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) })), |
| 130 | framework::dataset::concat(combine(datasets::Large5x5Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), |
| 131 | framework::dataset::concat(combine(datasets::Large5x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 132 | combine(datasets::Large1x5Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) }))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 133 | |
| 134 | // Output transform |
| 135 | const auto SmallWinogradOutputTransformDatasetNCHW = datasets::SmallWinogradOutputTransformDatasetNCHW(); |
| 136 | |
| 137 | const auto SmallWinogradOutputTransformDatasetNHWC = datasets::SmallWinogradOutputTransformDatasetNHWC(); |
| 138 | |
| 139 | const auto LargeWinogradOutputTransformDatasetNCHW = datasets::LargeWinogradOutputTransformDatasetNCHW(); |
| 140 | |
| 141 | const auto LargeWinogradOutputTransformDatasetNHWC = datasets::LargeWinogradOutputTransformDatasetNHWC(); |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 142 | |
| 143 | //Activation Functions |
| 144 | const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", |
| 145 | { |
| 146 | ActivationLayerInfo(), |
| 147 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| 148 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU), |
| 149 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), |
| 150 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU), |
| 151 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SOFT_RELU) |
| 152 | }); |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 153 | const auto ActivationFunctionsSmallDataset = framework::dataset::make("ActivationInfo", |
| 154 | { |
| 155 | ActivationLayerInfo(), |
| 156 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), |
| 157 | ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU) |
| 158 | }); |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 159 | } // namespace |
| 160 | |
| 161 | using namespace arm_compute::misc::shape_calculator; |
| 162 | |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 163 | TEST_SUITE(CL) |
| 164 | TEST_SUITE(Winograd) |
| 165 | |
| 166 | TEST_SUITE(InputTransform) |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 167 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 168 | framework::dataset::make("InputInfo",{ |
| 169 | TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16), // F16 not supported |
| 170 | TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), // QASYMM8 not supported |
| 171 | TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), // Kernel size not supported |
| 172 | TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), // Strides not supported |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 173 | TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32), // Padding needed |
| 174 | TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), // Padding needed |
| 175 | TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32) // Padding needed |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 176 | }), |
| 177 | framework::dataset::make("OutputInfo", { |
| 178 | TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), |
| 179 | TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), |
| 180 | TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), |
| 181 | TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), |
| 182 | TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), |
| 183 | TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), |
| 184 | TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32) |
| 185 | })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 186 | framework::dataset::make("WinogradInfo", { |
| 187 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), |
| 188 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), |
| 189 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 190 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(2, 1, 1, 1), DataLayout::NCHW), |
| 191 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 33U), PadStrideInfo(1, 1, 0, 1), DataLayout::NCHW), |
| 192 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(34U, 42U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), |
| 193 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(31U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 194 | })), |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 195 | framework::dataset::make("Expected", { false, false, false, false, false, false, false })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 196 | input_info, output_info, winograd_info, expected) |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 197 | { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 198 | ARM_COMPUTE_EXPECT(bool(CLWinogradInputTransform::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), winograd_info)) == expected, framework::LogLevel::ERRORS); |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 199 | } |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 200 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 201 | using CLWinogradInputTransformFixtureFP32 = WinogradInputTransformValidationFixture<CLTensor, CLAccessor, CLWinogradInputTransform, float>; |
| 202 | using CLWinogradInputTransformFixtureFP16 = WinogradInputTransformValidationFixture<CLTensor, CLAccessor, CLWinogradInputTransform, half>; |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 203 | |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 204 | TEST_SUITE(NCHW) |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 205 | TEST_SUITE(FP32) |
| 206 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNCHW, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 207 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 208 | framework::dataset::make("DataType", { DataType::F32 }))) |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 209 | { |
Giorgio Arena | fe5ef38 | 2018-04-17 10:14:10 +0100 | [diff] [blame] | 210 | validate(CLAccessor(_target), _reference, tolerance_f32); |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 211 | } |
| 212 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 213 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 214 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 215 | framework::dataset::make("DataType", { DataType::F32 }))) |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 216 | { |
Giorgio Arena | fe5ef38 | 2018-04-17 10:14:10 +0100 | [diff] [blame] | 217 | validate(CLAccessor(_target), _reference, tolerance_f32); |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 218 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 219 | TEST_SUITE_END() // FP32 |
| 220 | |
| 221 | TEST_SUITE(FP16) |
| 222 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNCHW, |
| 223 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 224 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 225 | { |
| 226 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 227 | } |
| 228 | |
| 229 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, |
| 230 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 231 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 232 | { |
| 233 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 234 | } |
| 235 | TEST_SUITE_END() // FP16 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 236 | TEST_SUITE_END() // NCHW |
| 237 | |
| 238 | TEST_SUITE(NHWC) |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 239 | TEST_SUITE(FP16) |
| 240 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNHWC, |
| 241 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 242 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 243 | { |
| 244 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 245 | } |
| 246 | |
| 247 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, |
| 248 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 249 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 250 | { |
| 251 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 252 | } |
| 253 | TEST_SUITE_END() // FP16 |
| 254 | TEST_SUITE(FP32) |
| 255 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNHWC, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 256 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 257 | framework::dataset::make("DataType", { DataType::F32 }))) |
| 258 | { |
| 259 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 260 | } |
| 261 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 262 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 263 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 264 | framework::dataset::make("DataType", { DataType::F32 }))) |
| 265 | { |
| 266 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 267 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 268 | TEST_SUITE_END() // FP32 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 269 | TEST_SUITE_END() // NHWC |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 270 | TEST_SUITE_END() // InputTransform |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 271 | |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 272 | TEST_SUITE(FilterTransform) |
Giorgio Arena | 2d9de0a | 2018-03-15 17:58:20 +0000 | [diff] [blame] | 273 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 274 | framework::dataset::make("InputInfo",{ |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 275 | TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F16), // F16 supported |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 276 | TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::QASYMM8), // QASYMM8 not supported |
| 277 | TensorInfo(TensorShape(5U, 5U, 5U, 3U), 1, DataType::F32), // Kernel size not supported |
Giorgio Arena | 2d9de0a | 2018-03-15 17:58:20 +0000 | [diff] [blame] | 278 | TensorInfo(TensorShape(3U, 3U), 1, DataType::F32), // Output tile not supported |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 279 | TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F32), // valid |
| 280 | TensorInfo(TensorShape(3U, 3U, 37U, 2U), 1, DataType::F32), // valid |
| 281 | TensorInfo(TensorShape(3U, 3U, 37U, 22U), 1, DataType::F32) // valid |
| 282 | }), |
| 283 | framework::dataset::make("OutputInfo", { |
| 284 | TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F16), |
| 285 | TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::QASYMM8), |
| 286 | TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), |
| 287 | TensorInfo(TensorShape(1U, 1U, 16U), 1, DataType::F32), |
| 288 | TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), |
| 289 | TensorInfo(TensorShape(2U, 37U, 16U), 1, DataType::F32), |
Giorgio Arena | 2d9de0a | 2018-03-15 17:58:20 +0000 | [diff] [blame] | 290 | TensorInfo(TensorShape(22U, 37U, 36U), 1, DataType::F32) |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 291 | })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 292 | framework::dataset::make("WinogradInfo", { |
| 293 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 294 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 295 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 296 | WinogradInfo(Size2D(3U, 3U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 297 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 298 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 299 | WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ) |
| 300 | })), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 301 | framework::dataset::make("Expected", { true, false, false, false, true, true, true })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 302 | input_info, output_info, winograd_info, expected) |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 303 | { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 304 | ARM_COMPUTE_EXPECT(bool(CLWinogradFilterTransformKernel::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), winograd_info)) == expected, framework::LogLevel::ERRORS); |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 305 | } |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 306 | |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 307 | using CLWinogradFilterTransform = CLSynthetizeFunctionWithZeroConstantBorder<CLWinogradFilterTransformKernel, 0>; |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 308 | using CLWinogradFilterTransformFixtureFP32 = WinogradFilterTransformValidationFixture<CLTensor, CLAccessor, CLWinogradFilterTransform, float>; |
| 309 | using CLWinogradFilterTransformFixtureFP16 = WinogradFilterTransformValidationFixture<CLTensor, CLAccessor, CLWinogradFilterTransform, half>; |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 310 | |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 311 | TEST_SUITE(NCHW) |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 312 | TEST_SUITE(FP32) |
| 313 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 314 | combine(combine(SmallWinogradFilterTransformDatasetNCHW, |
| 315 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 316 | framework::dataset::make("DataType", { DataType::F32 }))) |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 317 | { |
| 318 | // Validate output |
| 319 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 320 | } |
| 321 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 322 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 323 | combine(combine(LargeWinogradFilterTransformDatasetNCHW, |
| 324 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 325 | framework::dataset::make("DataType", { DataType::F32 }))) |
| 326 | { |
| 327 | // Validate output |
| 328 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 329 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 330 | TEST_SUITE_END() // FP32 |
| 331 | TEST_SUITE(FP16) |
| 332 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, |
| 333 | combine(combine(SmallWinogradFilterTransformDatasetNCHW, |
| 334 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 335 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 336 | { |
| 337 | // Validate output |
| 338 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 339 | } |
| 340 | |
| 341 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, |
| 342 | combine(combine(LargeWinogradFilterTransformDatasetNCHW, |
| 343 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 344 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 345 | { |
| 346 | // Validate output |
| 347 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 348 | } |
| 349 | TEST_SUITE_END() // FP16 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 350 | TEST_SUITE_END() // NCHW |
| 351 | |
| 352 | TEST_SUITE(NHWC) |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 353 | TEST_SUITE(FP16) |
| 354 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, |
| 355 | combine(combine(SmallWinogradFilterTransformDatasetNHWC, |
| 356 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 357 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 358 | { |
| 359 | // Validate output |
| 360 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 361 | } |
| 362 | |
| 363 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, |
| 364 | combine(combine(LargeWinogradFilterTransformDatasetNHWC, |
| 365 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 366 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 367 | { |
| 368 | // Validate output |
| 369 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 370 | } |
| 371 | TEST_SUITE_END() // FP16 |
| 372 | TEST_SUITE(FP32) |
| 373 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 374 | combine(combine(SmallWinogradFilterTransformDatasetNHWC, |
| 375 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 376 | framework::dataset::make("DataType", { DataType::F32 }))) |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 377 | { |
| 378 | // Validate output |
| 379 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 380 | } |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 381 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 382 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 383 | combine(combine(LargeWinogradFilterTransformDatasetNHWC, |
| 384 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 385 | framework::dataset::make("DataType", { DataType::F32 }))) |
| 386 | { |
| 387 | // Validate output |
| 388 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 389 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 390 | TEST_SUITE_END() // FP32 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 391 | TEST_SUITE_END() // NHWC |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 392 | TEST_SUITE_END() // FilterTransform |
| 393 | |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 394 | TEST_SUITE(OutputTransform) |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 395 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 396 | framework::dataset::make("InputInfo",{ |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 397 | TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F16), // F16 supported |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 398 | TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::QASYMM8), // QASYMM8 not supported |
| 399 | TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), // Kernel size not supported |
| 400 | TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), // Valid |
| 401 | TensorInfo(TensorShape(13U, 108U, 16U, 4U), 1, DataType::F32), // Padding needed |
| 402 | TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), // Valid |
Gian Marco Iodice | e52a300 | 2018-04-11 15:59:10 +0100 | [diff] [blame] | 403 | TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), // Wrong WinogradInfo |
| 404 | TensorInfo(TensorShape(7U, 256U, 36U, 3U), 1, DataType::F32), // Valid |
| 405 | TensorInfo(TensorShape(7U, 256U, 16U, 3U), 1, DataType::F32) // Wrong number of batches |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 406 | }), |
| 407 | framework::dataset::make("BiasInfo", { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 408 | TensorInfo(TensorShape(512U), 1, DataType::F16), |
| 409 | TensorInfo(TensorShape(512U), 1, DataType::QASYMM8), |
| 410 | TensorInfo(TensorShape(512U), 1, DataType::F32), |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 411 | TensorInfo(TensorShape(512U), 1, DataType::F32), |
| 412 | TensorInfo(TensorShape(13U), 1, DataType::F32), |
| 413 | TensorInfo(TensorShape(7U), 1, DataType::F32), |
Gian Marco Iodice | e52a300 | 2018-04-11 15:59:10 +0100 | [diff] [blame] | 414 | TensorInfo(TensorShape(7U), 1, DataType::F32), |
| 415 | TensorInfo(TensorShape(7U), 1, DataType::F32), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 416 | TensorInfo(TensorShape(7U), 1, DataType::F32) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 417 | })), |
| 418 | framework::dataset::make("OutputInfo", { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 419 | TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F16), |
| 420 | TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::QASYMM8), |
| 421 | TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), |
| 422 | TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), |
| 423 | TensorInfo(TensorShape(17U, 23U, 13U, 4U), 1, DataType::F32), |
| 424 | TensorInfo(TensorShape(8U, 10U, 7U, 7U), 1, DataType::F32), |
Gian Marco Iodice | e52a300 | 2018-04-11 15:59:10 +0100 | [diff] [blame] | 425 | TensorInfo(TensorShape(7U, 9U, 7U, 7U), 1, DataType::F32), |
| 426 | TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32), |
| 427 | TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 428 | })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 429 | framework::dataset::make("WinogradInfo", { |
| 430 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 431 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 432 | WinogradInfo(Size2D(2U, 2U), Size2D(5U, 5U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 433 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 434 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(17U, 23U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 435 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 436 | WinogradInfo(Size2D(2U, 3U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), |
Gian Marco Iodice | e52a300 | 2018-04-11 15:59:10 +0100 | [diff] [blame] | 437 | WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 438 | WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 439 | })), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 440 | framework::dataset::make("Expected", { true, false, false, true, false, true, false, true, false })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 441 | input_info, bias_info, output_info, winograd_info, expected) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 442 | { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 443 | ARM_COMPUTE_EXPECT(bool(CLWinogradOutputTransformKernel::validate(&input_info.clone()->set_is_resizable(false), &bias_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), winograd_info)) == expected, framework::LogLevel::ERRORS); |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 444 | } |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 445 | |
| 446 | using CLWinogradOutputTransform = CLSynthetizeFunctionWithZeroConstantBorder<CLWinogradOutputTransformKernel, 0>; |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 447 | using CLWinogradOutputTransformFixtureFP32 = WinogradOutputTransformValidationFixture<CLTensor, CLAccessor, CLWinogradOutputTransform, float>; |
| 448 | using CLWinogradOutputTransformFixtureFP16 = WinogradOutputTransformValidationFixture<CLTensor, CLAccessor, CLWinogradOutputTransform, half>; |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 449 | |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 450 | TEST_SUITE(NCHW) |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 451 | TEST_SUITE(FP16) |
| 452 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 453 | combine(combine(SmallWinogradOutputTransformDatasetNCHW, |
| 454 | framework::dataset::make("DataType", { DataType::F16 })), |
| 455 | framework::dataset::make("ActivationInfo",{ ActivationLayerInfo() }) )) |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 456 | { |
| 457 | // Validate output |
| 458 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 459 | } |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 460 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 461 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 462 | combine(combine(LargeWinogradOutputTransformDatasetNCHW, |
| 463 | framework::dataset::make("DataType", { DataType::F16 })), |
| 464 | framework::dataset::make("ActivationInfo",{ ActivationLayerInfo() }) )) |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 465 | { |
| 466 | // Validate output |
| 467 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 468 | } |
| 469 | TEST_SUITE_END() // FP16 |
| 470 | TEST_SUITE(FP32) |
| 471 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::ALL, |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 472 | combine(combine(SmallWinogradOutputTransformDatasetNCHW, |
| 473 | framework::dataset::make("DataType", { DataType::F32 })), |
| 474 | framework::dataset::make("ActivationInfo",{ ActivationLayerInfo() }) )) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 475 | { |
| 476 | // Validate output |
| 477 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 478 | } |
| 479 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 480 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 481 | combine(combine(LargeWinogradOutputTransformDatasetNCHW, |
| 482 | framework::dataset::make("DataType", { DataType::F32 })), |
| 483 | framework::dataset::make("ActivationInfo",{ ActivationLayerInfo() }) )) |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 484 | { |
| 485 | // Validate output |
| 486 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 487 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 488 | TEST_SUITE_END() // FP32 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 489 | TEST_SUITE_END() // NCHW |
| 490 | |
| 491 | TEST_SUITE(NHWC) |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 492 | TEST_SUITE(FP16) |
| 493 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 494 | combine(combine(SmallWinogradOutputTransformDatasetNHWC, |
| 495 | framework::dataset::make("DataType", { DataType::F16 })), |
| 496 | framework::dataset::make("ActivationInfo",{ ActivationLayerInfo() }) )) |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 497 | { |
| 498 | // Validate output |
| 499 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 500 | } |
| 501 | |
| 502 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 503 | combine(combine(LargeWinogradOutputTransformDatasetNHWC, |
| 504 | framework::dataset::make("DataType", { DataType::F16 })), |
| 505 | framework::dataset::make("ActivationInfo",{ ActivationLayerInfo() }) )) |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 506 | { |
| 507 | // Validate output |
| 508 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 509 | } |
| 510 | TEST_SUITE_END() // FP16 |
| 511 | TEST_SUITE(FP32) |
| 512 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::ALL, |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 513 | combine(combine(SmallWinogradOutputTransformDatasetNHWC, |
| 514 | framework::dataset::make("DataType", { DataType::F32 })), |
| 515 | framework::dataset::make("ActivationInfo",{ ActivationLayerInfo() }) )) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 516 | { |
| 517 | // Validate output |
| 518 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 519 | } |
| 520 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 521 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 522 | combine(combine(LargeWinogradOutputTransformDatasetNHWC, |
| 523 | framework::dataset::make("DataType", { DataType::F32 })), |
| 524 | framework::dataset::make("ActivationInfo",{ ActivationLayerInfo() }) )) |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 525 | { |
| 526 | // Validate output |
| 527 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 528 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 529 | TEST_SUITE_END() // FP32 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 530 | TEST_SUITE_END() // NHWC |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 531 | TEST_SUITE_END() // OutputTransform |
| 532 | |
| 533 | TEST_SUITE(ConvolutionLayer) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 534 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( |
| 535 | framework::dataset::make("InputInfo", { |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 536 | TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F16), // Insufficient padding |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 537 | TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), // Datatype mismatch |
| 538 | TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), // Stride y not supported |
| 539 | TensorInfo(TensorShape(16U, 16U, 8U), 1, DataType::F32), // Padding needed |
| 540 | TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) // Kernel size not supported |
| 541 | }), |
| 542 | framework::dataset::make("WeightsInfo", { |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 543 | TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::F16), |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 544 | TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::QASYMM8), |
| 545 | TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), |
| 546 | TensorInfo(TensorShape(3U, 3U, 8U, 16U), 1, DataType::F32), |
| 547 | TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) |
| 548 | })), |
| 549 | framework::dataset::make("BiasesInfo", { |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 550 | TensorInfo(TensorShape(19U), 1, DataType::F16), |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 551 | TensorInfo(TensorShape(19U), 1, DataType::F32), |
| 552 | TensorInfo(TensorShape(21U), 1, DataType::F32), |
| 553 | TensorInfo(TensorShape(16U), 1, DataType::F32), |
| 554 | TensorInfo(TensorShape(16U), 1, DataType::F32) |
| 555 | })), |
| 556 | framework::dataset::make("OutputInfo", { |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 557 | TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F16), |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 558 | TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), |
| 559 | TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), |
| 560 | TensorInfo(TensorShape(16U, 16U, 16U), 1, DataType::F32), |
| 561 | TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) |
| 562 | })), |
| 563 | framework::dataset::make("ConvInfo", { |
| 564 | PadStrideInfo(1, 1, 1, 1), |
| 565 | PadStrideInfo(1, 1, 1, 1), |
| 566 | PadStrideInfo(1, 2, 0, 0), |
| 567 | PadStrideInfo(1, 1, 1, 1), |
| 568 | PadStrideInfo(1, 1, 1, 0) |
| 569 | })), |
| 570 | framework::dataset::make("Expected", { false, false, false, false, false })), |
| 571 | input_info, weights_info, bias_info, output_info, conv_info, expected) |
| 572 | { |
| 573 | ARM_COMPUTE_EXPECT(bool(CLWinogradConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &bias_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info)) == expected, framework::LogLevel::ERRORS); |
| 574 | } |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 575 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 576 | TEST_SUITE(FP32) |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 577 | using CLWinogradConvolutionLayerFastMathFixture = WinogradConvolutionLayerFastMathValidationFixture<CLTensor, CLAccessor, CLWinogradConvolutionLayer, float>; |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 578 | TEST_SUITE(Conv3x3) |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 579 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 580 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), |
| 581 | framework::dataset::make("DataType", { DataType::F32 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 582 | ActivationFunctionsSmallDataset), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 583 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 584 | { |
| 585 | // Validate output |
Gian Marco Iodice | 4497e81 | 2018-05-08 16:36:52 +0100 | [diff] [blame] | 586 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 587 | } |
| 588 | |
| 589 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 590 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), |
| 591 | framework::dataset::make("DataType", { DataType::F32 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 592 | ActivationFunctionsDataset), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 593 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 594 | { |
| 595 | // Validate output |
Gian Marco Iodice | 4497e81 | 2018-05-08 16:36:52 +0100 | [diff] [blame] | 596 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 597 | } |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 598 | TEST_SUITE_END() // Conv3x3 |
| 599 | |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 600 | TEST_SUITE(Conv3x1) |
| 601 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
| 602 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), |
| 603 | framework::dataset::make("DataType", { DataType::F32 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 604 | ActivationFunctionsSmallDataset), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 605 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 606 | { |
| 607 | // Validate output |
| 608 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 609 | } |
| 610 | |
| 611 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
| 612 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), |
| 613 | framework::dataset::make("DataType", { DataType::F32 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 614 | ActivationFunctionsDataset), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 615 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 616 | { |
| 617 | // Validate output |
| 618 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 619 | } |
| 620 | TEST_SUITE_END() // Conv3x1 |
| 621 | |
| 622 | TEST_SUITE(Conv1x3) |
| 623 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
| 624 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), |
| 625 | framework::dataset::make("DataType", { DataType::F32 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 626 | ActivationFunctionsSmallDataset), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 627 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 628 | { |
| 629 | // Validate output |
| 630 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 631 | } |
| 632 | |
| 633 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
| 634 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), |
| 635 | framework::dataset::make("DataType", { DataType::F32 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 636 | ActivationFunctionsDataset), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 637 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 638 | { |
| 639 | // Validate output |
| 640 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 641 | } |
| 642 | TEST_SUITE_END() // Conv1x3 |
| 643 | |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 644 | TEST_SUITE(Conv5x5) |
| 645 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 646 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), |
| 647 | framework::dataset::make("DataType", { DataType::F32 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 648 | ActivationFunctionsSmallDataset ), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 649 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 650 | |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 651 | { |
| 652 | // Validate output |
Gian Marco Iodice | 4497e81 | 2018-05-08 16:36:52 +0100 | [diff] [blame] | 653 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 654 | } |
| 655 | |
| 656 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 657 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), |
| 658 | framework::dataset::make("DataType", { DataType::F32 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 659 | ActivationFunctionsDataset ), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 660 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 661 | |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 662 | { |
| 663 | // Validate output |
Gian Marco Iodice | 4497e81 | 2018-05-08 16:36:52 +0100 | [diff] [blame] | 664 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 665 | } |
| 666 | TEST_SUITE_END() // Conv5x5 |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 667 | |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 668 | TEST_SUITE(Conv5x1) |
| 669 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
| 670 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), |
| 671 | framework::dataset::make("DataType", { DataType::F32 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 672 | ActivationFunctionsSmallDataset), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 673 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 674 | |
| 675 | { |
| 676 | // Validate output |
| 677 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 678 | } |
| 679 | |
| 680 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
| 681 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), |
| 682 | framework::dataset::make("DataType", { DataType::F32 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 683 | ActivationFunctionsDataset), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 684 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 685 | |
| 686 | { |
| 687 | // Validate output |
| 688 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 689 | } |
| 690 | TEST_SUITE_END() // Conv5x1 |
| 691 | |
| 692 | TEST_SUITE(Conv1x5) |
| 693 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
| 694 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), |
| 695 | framework::dataset::make("DataType", { DataType::F32 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 696 | ActivationFunctionsSmallDataset), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 697 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 698 | |
| 699 | { |
| 700 | // Validate output |
| 701 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 702 | } |
| 703 | |
| 704 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
| 705 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), |
| 706 | framework::dataset::make("DataType", { DataType::F32 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 707 | ActivationFunctionsDataset), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 708 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 709 | |
| 710 | { |
| 711 | // Validate output |
| 712 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 713 | } |
| 714 | TEST_SUITE_END() // Conv1x5 |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 715 | TEST_SUITE_END() // FP32 |
| 716 | |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 717 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 718 | TEST_SUITE(FP16) |
| 719 | |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 720 | using CLWinogradConvolutionLayerFastMathFixture16 = WinogradConvolutionLayerFastMathValidationFixture<CLTensor, CLAccessor, CLWinogradConvolutionLayer, half, float>; |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 721 | TEST_SUITE(Conv3x3) |
| 722 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 723 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), |
| 724 | framework::dataset::make("DataType", { DataType::F16 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 725 | ActivationFunctionsSmallDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 726 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 727 | { |
| 728 | // Validate output |
| 729 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 730 | } |
| 731 | |
| 732 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 733 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), |
| 734 | framework::dataset::make("DataType", { DataType::F16 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 735 | ActivationFunctionsDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 736 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 737 | { |
| 738 | // Validate output |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 739 | validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 740 | } |
| 741 | TEST_SUITE_END() // Conv3x3 |
| 742 | |
| 743 | TEST_SUITE(Conv3x1) |
| 744 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 745 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), |
| 746 | framework::dataset::make("DataType", { DataType::F16 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 747 | ActivationFunctionsSmallDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 748 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 749 | { |
| 750 | // Validate output |
| 751 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 752 | } |
| 753 | |
| 754 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 755 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), |
| 756 | framework::dataset::make("DataType", { DataType::F16 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 757 | ActivationFunctionsDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 758 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 759 | { |
| 760 | // Validate output |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 761 | validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 762 | } |
| 763 | TEST_SUITE_END() // Conv3x1 |
| 764 | |
| 765 | TEST_SUITE(Conv1x3) |
| 766 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 767 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), |
| 768 | framework::dataset::make("DataType", { DataType::F16 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 769 | ActivationFunctionsSmallDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 770 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 771 | { |
| 772 | // Validate output |
| 773 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 774 | } |
| 775 | |
| 776 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 777 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), |
| 778 | framework::dataset::make("DataType", { DataType::F16 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 779 | ActivationFunctionsDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 780 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 781 | { |
| 782 | // Validate output |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 783 | validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 784 | } |
| 785 | TEST_SUITE_END() // Conv1x3 |
| 786 | |
| 787 | TEST_SUITE(Conv5x5) |
| 788 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 789 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), |
| 790 | framework::dataset::make("DataType", { DataType::F16 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 791 | ActivationFunctionsSmallDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 792 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 793 | |
| 794 | { |
| 795 | // Validate output |
| 796 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 797 | } |
| 798 | |
| 799 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 800 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), |
| 801 | framework::dataset::make("DataType", { DataType::F16 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 802 | ActivationFunctionsDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 803 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 804 | |
| 805 | { |
| 806 | // Validate output |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 807 | validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 808 | } |
| 809 | TEST_SUITE_END() // Conv5x5 |
| 810 | |
| 811 | TEST_SUITE(Conv5x1) |
| 812 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 813 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), |
| 814 | framework::dataset::make("DataType", { DataType::F16 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 815 | ActivationFunctionsSmallDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 816 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 817 | |
| 818 | { |
| 819 | // Validate output |
| 820 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 821 | } |
| 822 | |
| 823 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 824 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), |
| 825 | framework::dataset::make("DataType", { DataType::F16 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 826 | ActivationFunctionsDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 827 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 828 | |
| 829 | { |
| 830 | // Validate output |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 831 | validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 832 | } |
| 833 | TEST_SUITE_END() // Conv5x1 |
| 834 | |
| 835 | TEST_SUITE(Conv1x5) |
| 836 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 837 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), |
| 838 | framework::dataset::make("DataType", { DataType::F16 })), |
Michalis Spyrou | 8094325 | 2019-01-10 17:19:50 +0000 | [diff] [blame] | 839 | ActivationFunctionsSmallDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 840 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 841 | |
| 842 | { |
| 843 | // Validate output |
| 844 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 845 | } |
| 846 | |
| 847 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 848 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), |
| 849 | framework::dataset::make("DataType", { DataType::F16 })), |
Manuel Bottini | 0d0028c | 2018-10-02 16:41:52 +0100 | [diff] [blame] | 850 | ActivationFunctionsDataset), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 851 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 852 | |
| 853 | { |
| 854 | // Validate output |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 855 | validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_convolution_layer_f16); |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 856 | } |
| 857 | TEST_SUITE_END() // Conv1x5 |
| 858 | |
| 859 | TEST_SUITE_END() // FP16 |
Vidhya Sudhan Loganathan | a25d16c | 2018-11-16 11:33:12 +0000 | [diff] [blame] | 860 | |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 861 | TEST_SUITE_END() // ConvolutionLayer |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 862 | TEST_SUITE_END() // Winograd |
| 863 | TEST_SUITE_END() // CL |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 864 | } // namespace validation |
| 865 | } // namespace test |
| 866 | } // namespace arm_compute |