Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2018 ARM Limited. |
| 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)); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 61 | |
| 62 | // Input transform |
| 63 | const auto SmallWinogradInputTransformDatasetNCHW = |
| 64 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset2x2_3x3(), |
| 65 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset2x1_3x1(), |
| 66 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset1x2_1x3(), |
| 67 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x4_3x3(), |
| 68 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x1_3x1(), |
| 69 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset1x4_1x3(), |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 70 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x4_5x5(), |
| 71 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x1_5x1(), |
| 72 | datasets::SmallWinogradInputTransformDataset1x4_1x5())))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 73 | |
| 74 | const auto SmallWinogradInputTransformDatasetNHWC = framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x4_3x3(), |
Giorgio Arena | 149fdf3 | 2018-07-04 17:03:33 +0100 | [diff] [blame] | 75 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x1_3x1(), |
| 76 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset1x4_1x3(), |
Gian Marco Iodice | d28b751 | 2018-07-06 12:59:28 +0100 | [diff] [blame] | 77 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x4_5x5(), |
| 78 | framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x1_5x1(), |
| 79 | datasets::SmallWinogradInputTransformDataset1x4_1x5()))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 80 | |
| 81 | const auto LargeWinogradInputTransformDatasetNCHW = |
| 82 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset2x2_3x3(), |
| 83 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset2x1_3x1(), |
| 84 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset1x2_1x3(), |
| 85 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x4_3x3(), |
| 86 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x1_3x1(), |
| 87 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset1x4_1x3(), |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 88 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x4_5x5(), |
| 89 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x1_5x1(), |
| 90 | datasets::LargeWinogradInputTransformDataset1x4_1x5())))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 91 | |
| 92 | const auto LargeWinogradInputTransformDatasetNHWC = |
| 93 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x4_3x3(), |
Gian Marco Iodice | d28b751 | 2018-07-06 12:59:28 +0100 | [diff] [blame] | 94 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x4_5x5(), |
| 95 | framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x1_5x1(), |
| 96 | datasets::LargeWinogradInputTransformDataset1x4_1x5()))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 97 | |
| 98 | // Filter transform |
| 99 | const auto SmallWinogradFilterTransformDatasetNCHW = |
| 100 | framework::dataset::concat(combine(datasets::Small3x3Shapes(), framework::dataset::make("OutputTile", { Size2D(2U, 2U), Size2D(4U, 4U) })), |
| 101 | framework::dataset::concat(combine(datasets::Small3x1Shapes(), framework::dataset::make("OutputTile", { Size2D(2U, 1U), Size2D(4U, 1U) })), |
| 102 | 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] | 103 | framework::dataset::concat(combine(datasets::Small5x5Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), |
| 104 | framework::dataset::concat(combine(datasets::Small5x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 105 | combine(datasets::Small1x5Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) }))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 106 | |
| 107 | const auto SmallWinogradFilterTransformDatasetNHWC = |
| 108 | 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] | 109 | framework::dataset::concat(combine(datasets::Small3x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 110 | 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] | 111 | framework::dataset::concat(combine(datasets::Small5x5Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), |
| 112 | framework::dataset::concat(combine(datasets::Small5x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 113 | combine(datasets::Small1x5Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) }))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 114 | |
| 115 | const auto LargeWinogradFilterTransformDatasetNCHW = |
| 116 | framework::dataset::concat(combine(datasets::Large3x3Shapes(), framework::dataset::make("OutputTile", { Size2D(2U, 2U), Size2D(4U, 4U) })), |
| 117 | framework::dataset::concat(combine(datasets::Large3x1Shapes(), framework::dataset::make("OutputTile", { Size2D(2U, 1U), Size2D(4U, 1U) })), |
| 118 | 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] | 119 | framework::dataset::concat(combine(datasets::Large5x5Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), |
| 120 | framework::dataset::concat(combine(datasets::Large5x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 121 | combine(datasets::Large1x5Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) }))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 122 | |
| 123 | const auto LargeWinogradFilterTransformDatasetNHWC = |
| 124 | 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] | 125 | framework::dataset::concat(combine(datasets::Large3x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 126 | framework::dataset::concat(combine(datasets::Large1x3Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) })), |
| 127 | framework::dataset::concat(combine(datasets::Large5x5Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), |
| 128 | framework::dataset::concat(combine(datasets::Large5x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), |
| 129 | combine(datasets::Large1x5Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) }))))))); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 130 | |
| 131 | // Output transform |
| 132 | const auto SmallWinogradOutputTransformDatasetNCHW = datasets::SmallWinogradOutputTransformDatasetNCHW(); |
| 133 | |
| 134 | const auto SmallWinogradOutputTransformDatasetNHWC = datasets::SmallWinogradOutputTransformDatasetNHWC(); |
| 135 | |
| 136 | const auto LargeWinogradOutputTransformDatasetNCHW = datasets::LargeWinogradOutputTransformDatasetNCHW(); |
| 137 | |
| 138 | const auto LargeWinogradOutputTransformDatasetNHWC = datasets::LargeWinogradOutputTransformDatasetNHWC(); |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 139 | } // namespace |
| 140 | |
| 141 | using namespace arm_compute::misc::shape_calculator; |
| 142 | |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 143 | TEST_SUITE(CL) |
| 144 | TEST_SUITE(Winograd) |
| 145 | |
| 146 | TEST_SUITE(InputTransform) |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 147 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 148 | framework::dataset::make("InputInfo",{ |
| 149 | TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16), // F16 not supported |
| 150 | TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), // QASYMM8 not supported |
| 151 | TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), // Kernel size not supported |
| 152 | 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] | 153 | TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32), // Padding needed |
| 154 | TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), // Padding needed |
| 155 | TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32) // Padding needed |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 156 | }), |
| 157 | framework::dataset::make("OutputInfo", { |
| 158 | TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), |
| 159 | TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), |
| 160 | TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), |
| 161 | TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), |
| 162 | TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), |
| 163 | TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), |
| 164 | TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32) |
| 165 | })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 166 | framework::dataset::make("WinogradInfo", { |
| 167 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), |
| 168 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), |
| 169 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 170 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(2, 1, 1, 1), DataLayout::NCHW), |
| 171 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 33U), PadStrideInfo(1, 1, 0, 1), DataLayout::NCHW), |
| 172 | WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(34U, 42U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), |
| 173 | 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] | 174 | })), |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 175 | framework::dataset::make("Expected", { false, false, false, false, false, false, false })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 176 | input_info, output_info, winograd_info, expected) |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 177 | { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 178 | 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] | 179 | } |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 180 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 181 | using CLWinogradInputTransformFixtureFP32 = WinogradInputTransformValidationFixture<CLTensor, CLAccessor, CLWinogradInputTransform, float>; |
| 182 | using CLWinogradInputTransformFixtureFP16 = WinogradInputTransformValidationFixture<CLTensor, CLAccessor, CLWinogradInputTransform, half>; |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 183 | |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 184 | TEST_SUITE(NCHW) |
| 185 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(SmallWinogradInputTransformDatasetNCHW, |
| 186 | LargeWinogradInputTransformDatasetNCHW), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 187 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 188 | framework::dataset::make("DataType", { DataType::F32, DataType::F16 })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 189 | shape_in, winograd_info, data_layout, data_type) |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 190 | { |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 191 | TensorInfo tensor_info_in(shape_in, 1, data_type); |
| 192 | tensor_info_in.set_data_layout(data_layout); |
| 193 | |
| 194 | TensorShape shape_out = compute_winograd_input_transform_shape(tensor_info_in, winograd_info); |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 195 | |
| 196 | // Create tensors |
Vidhya Sudhan Loganathan | 014333d | 2018-07-02 09:13:49 +0100 | [diff] [blame] | 197 | CLTensor in = create_tensor<CLTensor>(shape_in, data_type, 1, QuantizationInfo(), data_layout); |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 198 | CLTensor out = create_tensor<CLTensor>(shape_out, data_type); |
| 199 | |
| 200 | ARM_COMPUTE_EXPECT(in.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 201 | ARM_COMPUTE_EXPECT(out.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 202 | |
| 203 | // Create and configure function |
| 204 | CLWinogradInputTransform winograd_input_transform; |
| 205 | |
| 206 | // Configure the function |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 207 | winograd_input_transform.configure(&in, &out, winograd_info); |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 208 | } |
| 209 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 210 | TEST_SUITE(FP32) |
| 211 | 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] | 212 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 213 | framework::dataset::make("DataType", { DataType::F32 }))) |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 214 | { |
Giorgio Arena | fe5ef38 | 2018-04-17 10:14:10 +0100 | [diff] [blame] | 215 | validate(CLAccessor(_target), _reference, tolerance_f32); |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 216 | } |
| 217 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 218 | 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] | 219 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 220 | framework::dataset::make("DataType", { DataType::F32 }))) |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 221 | { |
Giorgio Arena | fe5ef38 | 2018-04-17 10:14:10 +0100 | [diff] [blame] | 222 | validate(CLAccessor(_target), _reference, tolerance_f32); |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 223 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 224 | TEST_SUITE_END() // FP32 |
| 225 | |
| 226 | TEST_SUITE(FP16) |
| 227 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNCHW, |
| 228 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 229 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 230 | { |
| 231 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 232 | } |
| 233 | |
| 234 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, |
| 235 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 236 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 237 | { |
| 238 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 239 | } |
| 240 | TEST_SUITE_END() // FP16 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 241 | TEST_SUITE_END() // NCHW |
| 242 | |
| 243 | TEST_SUITE(NHWC) |
| 244 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(SmallWinogradInputTransformDatasetNHWC, |
| 245 | LargeWinogradInputTransformDatasetNHWC), |
| 246 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 247 | framework::dataset::make("DataType", { DataType::F32, DataType::F16 })), |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 248 | shape_in, winograd_info, data_layout, data_type) |
| 249 | { |
| 250 | TensorShape shape_in_nhwc(shape_in); |
| 251 | |
| 252 | // Convert the shape to NHWC |
| 253 | permute(shape_in_nhwc, PermutationVector(2U, 0U, 1U)); |
| 254 | |
| 255 | // TensorInfo |
| 256 | TensorInfo tensor_info_in(shape_in_nhwc, 1, data_type); |
| 257 | tensor_info_in.set_data_layout(data_layout); |
| 258 | |
| 259 | TensorShape shape_out = compute_winograd_input_transform_shape(tensor_info_in, winograd_info); |
| 260 | |
| 261 | // Create tensors |
Vidhya Sudhan Loganathan | 014333d | 2018-07-02 09:13:49 +0100 | [diff] [blame] | 262 | CLTensor in = create_tensor<CLTensor>(shape_in_nhwc, data_type, 1, QuantizationInfo(), data_layout); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 263 | CLTensor out = create_tensor<CLTensor>(shape_out, data_type); |
| 264 | |
| 265 | ARM_COMPUTE_EXPECT(in.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 266 | ARM_COMPUTE_EXPECT(out.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 267 | |
| 268 | // Create and configure function |
| 269 | CLWinogradInputTransform winograd_input_transform; |
| 270 | |
| 271 | // Configure the function |
| 272 | winograd_input_transform.configure(&in, &out, winograd_info); |
| 273 | } |
| 274 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 275 | TEST_SUITE(FP16) |
| 276 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNHWC, |
| 277 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 278 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 279 | { |
| 280 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 281 | } |
| 282 | |
| 283 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, |
| 284 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 285 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 286 | { |
| 287 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 288 | } |
| 289 | TEST_SUITE_END() // FP16 |
| 290 | TEST_SUITE(FP32) |
| 291 | 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] | 292 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 293 | framework::dataset::make("DataType", { DataType::F32 }))) |
| 294 | { |
| 295 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 296 | } |
| 297 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 298 | 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] | 299 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 300 | framework::dataset::make("DataType", { DataType::F32 }))) |
| 301 | { |
| 302 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 303 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 304 | TEST_SUITE_END() // FP32 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 305 | TEST_SUITE_END() // NHWC |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 306 | TEST_SUITE_END() // InputTransform |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 307 | |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 308 | TEST_SUITE(FilterTransform) |
Giorgio Arena | 2d9de0a | 2018-03-15 17:58:20 +0000 | [diff] [blame] | 309 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 310 | framework::dataset::make("InputInfo",{ |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 311 | TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F16), // F16 supported |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 312 | TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::QASYMM8), // QASYMM8 not supported |
| 313 | 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] | 314 | TensorInfo(TensorShape(3U, 3U), 1, DataType::F32), // Output tile not supported |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 315 | TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F32), // valid |
| 316 | TensorInfo(TensorShape(3U, 3U, 37U, 2U), 1, DataType::F32), // valid |
| 317 | TensorInfo(TensorShape(3U, 3U, 37U, 22U), 1, DataType::F32) // valid |
| 318 | }), |
| 319 | framework::dataset::make("OutputInfo", { |
| 320 | TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F16), |
| 321 | TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::QASYMM8), |
| 322 | TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), |
| 323 | TensorInfo(TensorShape(1U, 1U, 16U), 1, DataType::F32), |
| 324 | TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), |
| 325 | TensorInfo(TensorShape(2U, 37U, 16U), 1, DataType::F32), |
Giorgio Arena | 2d9de0a | 2018-03-15 17:58:20 +0000 | [diff] [blame] | 326 | TensorInfo(TensorShape(22U, 37U, 36U), 1, DataType::F32) |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 327 | })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 328 | framework::dataset::make("WinogradInfo", { |
| 329 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 330 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 331 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 332 | WinogradInfo(Size2D(3U, 3U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 333 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 334 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ), |
| 335 | WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, DataLayout::NCHW /* Not needed */ ) |
| 336 | })), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 337 | framework::dataset::make("Expected", { true, false, false, false, true, true, true })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 338 | input_info, output_info, winograd_info, expected) |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 339 | { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 340 | 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] | 341 | } |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 342 | |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 343 | using CLWinogradFilterTransform = CLSynthetizeFunctionWithZeroConstantBorder<CLWinogradFilterTransformKernel, 0>; |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 344 | using CLWinogradFilterTransformFixtureFP32 = WinogradFilterTransformValidationFixture<CLTensor, CLAccessor, CLWinogradFilterTransform, float>; |
| 345 | using CLWinogradFilterTransformFixtureFP16 = WinogradFilterTransformValidationFixture<CLTensor, CLAccessor, CLWinogradFilterTransform, half>; |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 346 | |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 347 | TEST_SUITE(NCHW) |
| 348 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, |
| 349 | combine(combine(framework::dataset::concat(SmallWinogradFilterTransformDatasetNCHW, |
| 350 | LargeWinogradFilterTransformDatasetNCHW), |
| 351 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 352 | framework::dataset::make("DataType", { DataType::F32, DataType::F16 })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 353 | shape_a, output_tile, data_layout, data_type) |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 354 | { |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 355 | WinogradInfo winograd_info(output_tile, Size2D(shape_a[0], shape_a[1]), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, data_layout /* Not needed */); |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 356 | |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 357 | TensorShape shape_b = compute_winograd_filter_transform_shape(TensorInfo(shape_a, 1, data_type), winograd_info); |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 358 | |
| 359 | // Create tensors |
Vidhya Sudhan Loganathan | 014333d | 2018-07-02 09:13:49 +0100 | [diff] [blame] | 360 | CLTensor a = create_tensor<CLTensor>(shape_a, data_type, 1, QuantizationInfo(), data_layout); |
| 361 | CLTensor b = create_tensor<CLTensor>(shape_b, data_type, 1, QuantizationInfo(), data_layout); |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 362 | |
| 363 | ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 364 | ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 365 | |
| 366 | // Create and configure function |
| 367 | CLWinogradFilterTransform winograd_filter_transform; |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 368 | winograd_filter_transform.configure(&a, &b, winograd_info); |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 369 | } |
| 370 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 371 | TEST_SUITE(FP32) |
| 372 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 373 | combine(combine(SmallWinogradFilterTransformDatasetNCHW, |
| 374 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 375 | framework::dataset::make("DataType", { DataType::F32 }))) |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 376 | { |
| 377 | // Validate output |
| 378 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 379 | } |
| 380 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 381 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 382 | combine(combine(LargeWinogradFilterTransformDatasetNCHW, |
| 383 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 384 | framework::dataset::make("DataType", { DataType::F32 }))) |
| 385 | { |
| 386 | // Validate output |
| 387 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 388 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 389 | TEST_SUITE_END() // FP32 |
| 390 | TEST_SUITE(FP16) |
| 391 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, |
| 392 | combine(combine(SmallWinogradFilterTransformDatasetNCHW, |
| 393 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 394 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 395 | { |
| 396 | // Validate output |
| 397 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 398 | } |
| 399 | |
| 400 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, |
| 401 | combine(combine(LargeWinogradFilterTransformDatasetNCHW, |
| 402 | framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| 403 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 404 | { |
| 405 | // Validate output |
| 406 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 407 | } |
| 408 | TEST_SUITE_END() // FP16 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 409 | TEST_SUITE_END() // NCHW |
| 410 | |
| 411 | TEST_SUITE(NHWC) |
| 412 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, |
| 413 | combine(combine(framework::dataset::concat(SmallWinogradFilterTransformDatasetNHWC, |
| 414 | LargeWinogradFilterTransformDatasetNHWC), |
| 415 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 416 | framework::dataset::make("DataType", { DataType::F32, DataType::F16 })), |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 417 | shape_in, output_tile, data_layout, data_type) |
| 418 | { |
| 419 | TensorShape shape_in_nhwc(shape_in); |
| 420 | |
| 421 | // Convert the shape to NHWC |
| 422 | permute(shape_in_nhwc, PermutationVector(2U, 0U, 1U)); |
| 423 | |
| 424 | // TensorInfo |
| 425 | TensorInfo tensor_info_in(shape_in_nhwc, 1, data_type); |
| 426 | tensor_info_in.set_data_layout(data_layout); |
| 427 | |
| 428 | WinogradInfo winograd_info(output_tile, Size2D(shape_in[0], shape_in[1]), Size2D() /* Not needed */, PadStrideInfo() /* Not needed */, data_layout /* Not needed */); |
| 429 | |
| 430 | TensorShape shape_b = compute_winograd_filter_transform_shape(tensor_info_in, winograd_info); |
| 431 | |
| 432 | // Create tensors |
Vidhya Sudhan Loganathan | 014333d | 2018-07-02 09:13:49 +0100 | [diff] [blame] | 433 | CLTensor a = create_tensor<CLTensor>(shape_in_nhwc, data_type, 1, QuantizationInfo(), data_layout); |
| 434 | CLTensor b = create_tensor<CLTensor>(shape_b, data_type, 1, QuantizationInfo(), data_layout); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 435 | |
| 436 | ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 437 | ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 438 | |
| 439 | // Create and configure function |
| 440 | CLWinogradFilterTransform winograd_filter_transform; |
| 441 | winograd_filter_transform.configure(&a, &b, winograd_info); |
| 442 | } |
| 443 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 444 | TEST_SUITE(FP16) |
| 445 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::PRECOMMIT, |
| 446 | combine(combine(SmallWinogradFilterTransformDatasetNHWC, |
| 447 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 448 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 449 | { |
| 450 | // Validate output |
| 451 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 452 | } |
| 453 | |
| 454 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, |
| 455 | combine(combine(LargeWinogradFilterTransformDatasetNHWC, |
| 456 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 457 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 458 | { |
| 459 | // Validate output |
| 460 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 461 | } |
| 462 | TEST_SUITE_END() // FP16 |
| 463 | TEST_SUITE(FP32) |
| 464 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 465 | combine(combine(SmallWinogradFilterTransformDatasetNHWC, |
| 466 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 467 | framework::dataset::make("DataType", { DataType::F32 }))) |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 468 | { |
| 469 | // Validate output |
| 470 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 471 | } |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 472 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 473 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 474 | combine(combine(LargeWinogradFilterTransformDatasetNHWC, |
| 475 | framework::dataset::make("DataLayout", { DataLayout::NHWC })), |
| 476 | framework::dataset::make("DataType", { DataType::F32 }))) |
| 477 | { |
| 478 | // Validate output |
| 479 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 480 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 481 | TEST_SUITE_END() // FP32 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 482 | TEST_SUITE_END() // NHWC |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 483 | TEST_SUITE_END() // FilterTransform |
| 484 | |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 485 | TEST_SUITE(OutputTransform) |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 486 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 487 | framework::dataset::make("InputInfo",{ |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 488 | TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F16), // F16 supported |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 489 | TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::QASYMM8), // QASYMM8 not supported |
| 490 | TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), // Kernel size not supported |
| 491 | TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), // Valid |
| 492 | TensorInfo(TensorShape(13U, 108U, 16U, 4U), 1, DataType::F32), // Padding needed |
| 493 | TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), // Valid |
Gian Marco Iodice | e52a300 | 2018-04-11 15:59:10 +0100 | [diff] [blame] | 494 | TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), // Wrong WinogradInfo |
| 495 | TensorInfo(TensorShape(7U, 256U, 36U, 3U), 1, DataType::F32), // Valid |
| 496 | 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] | 497 | }), |
| 498 | framework::dataset::make("BiasInfo", { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 499 | TensorInfo(TensorShape(512U), 1, DataType::F16), |
| 500 | TensorInfo(TensorShape(512U), 1, DataType::QASYMM8), |
| 501 | TensorInfo(TensorShape(512U), 1, DataType::F32), |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 502 | TensorInfo(TensorShape(512U), 1, DataType::F32), |
| 503 | TensorInfo(TensorShape(13U), 1, DataType::F32), |
| 504 | TensorInfo(TensorShape(7U), 1, DataType::F32), |
Gian Marco Iodice | e52a300 | 2018-04-11 15:59:10 +0100 | [diff] [blame] | 505 | TensorInfo(TensorShape(7U), 1, DataType::F32), |
| 506 | TensorInfo(TensorShape(7U), 1, DataType::F32), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 507 | TensorInfo(TensorShape(7U), 1, DataType::F32) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 508 | })), |
| 509 | framework::dataset::make("OutputInfo", { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 510 | TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F16), |
| 511 | TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::QASYMM8), |
| 512 | TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), |
| 513 | TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), |
| 514 | TensorInfo(TensorShape(17U, 23U, 13U, 4U), 1, DataType::F32), |
| 515 | TensorInfo(TensorShape(8U, 10U, 7U, 7U), 1, DataType::F32), |
Gian Marco Iodice | e52a300 | 2018-04-11 15:59:10 +0100 | [diff] [blame] | 516 | TensorInfo(TensorShape(7U, 9U, 7U, 7U), 1, DataType::F32), |
| 517 | TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32), |
| 518 | TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 519 | })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 520 | framework::dataset::make("WinogradInfo", { |
| 521 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 522 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 523 | WinogradInfo(Size2D(2U, 2U), Size2D(5U, 5U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 524 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 525 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(17U, 23U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 526 | WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 527 | 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] | 528 | WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), |
| 529 | 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] | 530 | })), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 531 | 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] | 532 | input_info, bias_info, output_info, winograd_info, expected) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 533 | { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 534 | 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] | 535 | } |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 536 | |
| 537 | using CLWinogradOutputTransform = CLSynthetizeFunctionWithZeroConstantBorder<CLWinogradOutputTransformKernel, 0>; |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 538 | using CLWinogradOutputTransformFixtureFP32 = WinogradOutputTransformValidationFixture<CLTensor, CLAccessor, CLWinogradOutputTransform, float>; |
| 539 | using CLWinogradOutputTransformFixtureFP16 = WinogradOutputTransformValidationFixture<CLTensor, CLAccessor, CLWinogradOutputTransform, half>; |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 540 | |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 541 | TEST_SUITE(NCHW) |
| 542 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(SmallWinogradOutputTransformDatasetNCHW, |
| 543 | LargeWinogradOutputTransformDatasetNCHW), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 544 | framework::dataset::make("DataType", { DataType::F32, DataType::F16 })), |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 545 | shape_a, winograd_info, data_type) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 546 | { |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 547 | TensorShape shape_b = compute_winograd_output_transform_shape(TensorInfo(shape_a, 1, data_type), winograd_info); |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 548 | |
| 549 | // Create tensors |
| 550 | CLTensor a = create_tensor<CLTensor>(shape_a, data_type); |
Vidhya Sudhan Loganathan | 014333d | 2018-07-02 09:13:49 +0100 | [diff] [blame] | 551 | CLTensor b = create_tensor<CLTensor>(shape_b, data_type, 1, QuantizationInfo(), winograd_info.output_data_layout); |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 552 | |
| 553 | ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 554 | ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 555 | |
| 556 | // Create and configure function |
| 557 | CLWinogradOutputTransform winograd_output_transform; |
Gian Marco Iodice | 247f52c | 2018-03-22 11:24:56 +0000 | [diff] [blame] | 558 | winograd_output_transform.configure(&a, nullptr, &b, winograd_info); |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 559 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 560 | TEST_SUITE(FP16) |
| 561 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, |
| 562 | combine(SmallWinogradOutputTransformDatasetNCHW, |
| 563 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 564 | { |
| 565 | // Validate output |
| 566 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 567 | } |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 568 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 569 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, |
| 570 | combine(LargeWinogradOutputTransformDatasetNCHW, |
| 571 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 572 | { |
| 573 | // Validate output |
| 574 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 575 | } |
| 576 | TEST_SUITE_END() // FP16 |
| 577 | TEST_SUITE(FP32) |
| 578 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::ALL, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 579 | combine(SmallWinogradOutputTransformDatasetNCHW, |
| 580 | framework::dataset::make("DataType", { DataType::F32 }))) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 581 | { |
| 582 | // Validate output |
| 583 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 584 | } |
| 585 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 586 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 587 | combine(LargeWinogradOutputTransformDatasetNCHW, |
| 588 | framework::dataset::make("DataType", { DataType::F32 }))) |
| 589 | { |
| 590 | // Validate output |
| 591 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 592 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 593 | TEST_SUITE_END() // FP32 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 594 | TEST_SUITE_END() // NCHW |
| 595 | |
| 596 | TEST_SUITE(NHWC) |
| 597 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(SmallWinogradOutputTransformDatasetNHWC, |
| 598 | LargeWinogradOutputTransformDatasetNHWC), |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 599 | framework::dataset::make("DataType", { DataType::F32, DataType::F16 })), |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 600 | shape_a, winograd_info, data_type) |
| 601 | { |
| 602 | TensorShape shape_b = compute_winograd_output_transform_shape(TensorInfo(shape_a, 1, data_type), winograd_info); |
| 603 | |
| 604 | // Create tensors |
| 605 | CLTensor a = create_tensor<CLTensor>(shape_a, data_type); |
Vidhya Sudhan Loganathan | 014333d | 2018-07-02 09:13:49 +0100 | [diff] [blame] | 606 | CLTensor b = create_tensor<CLTensor>(shape_b, data_type, 1, QuantizationInfo(), winograd_info.output_data_layout); |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 607 | |
| 608 | ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 609 | ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 610 | |
| 611 | // Create and configure function |
| 612 | CLWinogradOutputTransform winograd_output_transform; |
| 613 | winograd_output_transform.configure(&a, nullptr, &b, winograd_info); |
| 614 | } |
| 615 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 616 | TEST_SUITE(FP16) |
| 617 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, |
| 618 | combine(SmallWinogradOutputTransformDatasetNHWC, |
| 619 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 620 | { |
| 621 | // Validate output |
| 622 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 623 | } |
| 624 | |
| 625 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, |
| 626 | combine(LargeWinogradOutputTransformDatasetNHWC, |
| 627 | framework::dataset::make("DataType", { DataType::F16 }))) |
| 628 | { |
| 629 | // Validate output |
| 630 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 631 | } |
| 632 | TEST_SUITE_END() // FP16 |
| 633 | TEST_SUITE(FP32) |
| 634 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::ALL, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 635 | combine(SmallWinogradOutputTransformDatasetNHWC, |
| 636 | framework::dataset::make("DataType", { DataType::F32 }))) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 637 | { |
| 638 | // Validate output |
| 639 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 640 | } |
| 641 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 642 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 643 | combine(LargeWinogradOutputTransformDatasetNHWC, |
| 644 | framework::dataset::make("DataType", { DataType::F32 }))) |
| 645 | { |
| 646 | // Validate output |
| 647 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 648 | } |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 649 | TEST_SUITE_END() // FP32 |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 650 | TEST_SUITE_END() // NHWC |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 651 | TEST_SUITE_END() // OutputTransform |
| 652 | |
| 653 | TEST_SUITE(ConvolutionLayer) |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 654 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( |
| 655 | framework::dataset::make("InputInfo", { |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 656 | TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F16), // Insufficient padding |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 657 | TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), // Datatype mismatch |
| 658 | TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), // Stride y not supported |
| 659 | TensorInfo(TensorShape(16U, 16U, 8U), 1, DataType::F32), // Padding needed |
| 660 | TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) // Kernel size not supported |
| 661 | }), |
| 662 | framework::dataset::make("WeightsInfo", { |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 663 | TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::F16), |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 664 | TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::QASYMM8), |
| 665 | TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), |
| 666 | TensorInfo(TensorShape(3U, 3U, 8U, 16U), 1, DataType::F32), |
| 667 | TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) |
| 668 | })), |
| 669 | framework::dataset::make("BiasesInfo", { |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 670 | TensorInfo(TensorShape(19U), 1, DataType::F16), |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 671 | TensorInfo(TensorShape(19U), 1, DataType::F32), |
| 672 | TensorInfo(TensorShape(21U), 1, DataType::F32), |
| 673 | TensorInfo(TensorShape(16U), 1, DataType::F32), |
| 674 | TensorInfo(TensorShape(16U), 1, DataType::F32) |
| 675 | })), |
| 676 | framework::dataset::make("OutputInfo", { |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 677 | TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F16), |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 678 | TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), |
| 679 | TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), |
| 680 | TensorInfo(TensorShape(16U, 16U, 16U), 1, DataType::F32), |
| 681 | TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) |
| 682 | })), |
| 683 | framework::dataset::make("ConvInfo", { |
| 684 | PadStrideInfo(1, 1, 1, 1), |
| 685 | PadStrideInfo(1, 1, 1, 1), |
| 686 | PadStrideInfo(1, 2, 0, 0), |
| 687 | PadStrideInfo(1, 1, 1, 1), |
| 688 | PadStrideInfo(1, 1, 1, 0) |
| 689 | })), |
| 690 | framework::dataset::make("Expected", { false, false, false, false, false })), |
| 691 | input_info, weights_info, bias_info, output_info, conv_info, expected) |
| 692 | { |
| 693 | 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); |
| 694 | } |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 695 | |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 696 | TEST_SUITE(FP32) |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 697 | using CLWinogradConvolutionLayerFastMathFixture = WinogradConvolutionLayerFastMathValidationFixture<CLTensor, CLAccessor, CLWinogradConvolutionLayer, float>; |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 698 | TEST_SUITE(Conv3x3) |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 699 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 700 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), |
| 701 | framework::dataset::make("DataType", { DataType::F32 })), |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 702 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 703 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 704 | { |
| 705 | // Validate output |
Gian Marco Iodice | 4497e81 | 2018-05-08 16:36:52 +0100 | [diff] [blame] | 706 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 707 | } |
| 708 | |
| 709 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 710 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), |
| 711 | framework::dataset::make("DataType", { DataType::F32 })), |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 712 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 713 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 714 | { |
| 715 | // Validate output |
Gian Marco Iodice | 4497e81 | 2018-05-08 16:36:52 +0100 | [diff] [blame] | 716 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 717 | } |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 718 | TEST_SUITE_END() // Conv3x3 |
| 719 | |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 720 | TEST_SUITE(Conv3x1) |
| 721 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
| 722 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), |
| 723 | framework::dataset::make("DataType", { DataType::F32 })), |
| 724 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 725 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 726 | { |
| 727 | // Validate output |
| 728 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 729 | } |
| 730 | |
| 731 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
| 732 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), |
| 733 | framework::dataset::make("DataType", { DataType::F32 })), |
| 734 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 735 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 736 | { |
| 737 | // Validate output |
| 738 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 739 | } |
| 740 | TEST_SUITE_END() // Conv3x1 |
| 741 | |
| 742 | TEST_SUITE(Conv1x3) |
| 743 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
| 744 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), |
| 745 | framework::dataset::make("DataType", { DataType::F32 })), |
| 746 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 747 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 748 | { |
| 749 | // Validate output |
| 750 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 751 | } |
| 752 | |
| 753 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
| 754 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), |
| 755 | framework::dataset::make("DataType", { DataType::F32 })), |
| 756 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 757 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 758 | { |
| 759 | // Validate output |
| 760 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 761 | } |
| 762 | TEST_SUITE_END() // Conv1x3 |
| 763 | |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 764 | TEST_SUITE(Conv5x5) |
| 765 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 766 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), |
| 767 | framework::dataset::make("DataType", { DataType::F32 })), |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 768 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 769 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 770 | |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 771 | { |
| 772 | // Validate output |
Gian Marco Iodice | 4497e81 | 2018-05-08 16:36:52 +0100 | [diff] [blame] | 773 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 774 | } |
| 775 | |
| 776 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 777 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), |
| 778 | framework::dataset::make("DataType", { DataType::F32 })), |
Gian Marco Iodice | f1c2bf0 | 2018-06-13 14:05:54 +0100 | [diff] [blame] | 779 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 780 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 781 | |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 782 | { |
| 783 | // Validate output |
Gian Marco Iodice | 4497e81 | 2018-05-08 16:36:52 +0100 | [diff] [blame] | 784 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
Gian Marco Iodice | 6cf188c | 2018-05-04 16:36:50 +0100 | [diff] [blame] | 785 | } |
| 786 | TEST_SUITE_END() // Conv5x5 |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 787 | |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 788 | TEST_SUITE(Conv5x1) |
| 789 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
| 790 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), |
| 791 | framework::dataset::make("DataType", { DataType::F32 })), |
| 792 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 793 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 794 | |
| 795 | { |
| 796 | // Validate output |
| 797 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 798 | } |
| 799 | |
| 800 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
| 801 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), |
| 802 | framework::dataset::make("DataType", { DataType::F32 })), |
| 803 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 804 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 805 | |
| 806 | { |
| 807 | // Validate output |
| 808 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 809 | } |
| 810 | TEST_SUITE_END() // Conv5x1 |
| 811 | |
| 812 | TEST_SUITE(Conv1x5) |
| 813 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, |
| 814 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), |
| 815 | framework::dataset::make("DataType", { DataType::F32 })), |
| 816 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 817 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 818 | |
| 819 | { |
| 820 | // Validate output |
| 821 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 822 | } |
| 823 | |
| 824 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, |
| 825 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), |
| 826 | framework::dataset::make("DataType", { DataType::F32 })), |
| 827 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
Giorgio Arena | ea55f91 | 2018-07-12 15:41:35 +0100 | [diff] [blame] | 828 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
Gian Marco Iodice | 876be2a | 2018-07-03 12:22:09 +0100 | [diff] [blame] | 829 | |
| 830 | { |
| 831 | // Validate output |
| 832 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f32); |
| 833 | } |
| 834 | TEST_SUITE_END() // Conv1x5 |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 835 | TEST_SUITE_END() // FP32 |
| 836 | |
Vidhya Sudhan Loganathan | d307f06 | 2018-10-04 09:21:15 +0100 | [diff] [blame] | 837 | #ifdef WINOGRAD_F16_SUPPORT //to be reintroduced after COMPMID-1266 is resolved |
Vidhya Sudhan Loganathan | 71ecf39 | 2018-08-31 16:10:16 +0100 | [diff] [blame] | 838 | TEST_SUITE(FP16) |
| 839 | |
| 840 | using CLWinogradConvolutionLayerFastMathFixture16 = WinogradConvolutionLayerFastMathValidationFixture<CLTensor, CLAccessor, CLWinogradConvolutionLayer, half>; |
| 841 | TEST_SUITE(Conv3x3) |
| 842 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 843 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), |
| 844 | framework::dataset::make("DataType", { DataType::F16 })), |
| 845 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 846 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 847 | { |
| 848 | // Validate output |
| 849 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 850 | } |
| 851 | |
| 852 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 853 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), |
| 854 | framework::dataset::make("DataType", { DataType::F16 })), |
| 855 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 856 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 857 | { |
| 858 | // Validate output |
| 859 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 860 | } |
| 861 | TEST_SUITE_END() // Conv3x3 |
| 862 | |
| 863 | TEST_SUITE(Conv3x1) |
| 864 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 865 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), |
| 866 | framework::dataset::make("DataType", { DataType::F16 })), |
| 867 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 868 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 869 | { |
| 870 | // Validate output |
| 871 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 872 | } |
| 873 | |
| 874 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 875 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), |
| 876 | framework::dataset::make("DataType", { DataType::F16 })), |
| 877 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 878 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 879 | { |
| 880 | // Validate output |
| 881 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 882 | } |
| 883 | TEST_SUITE_END() // Conv3x1 |
| 884 | |
| 885 | TEST_SUITE(Conv1x3) |
| 886 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 887 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), |
| 888 | framework::dataset::make("DataType", { DataType::F16 })), |
| 889 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 890 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 891 | { |
| 892 | // Validate output |
| 893 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 894 | } |
| 895 | |
| 896 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 897 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), |
| 898 | framework::dataset::make("DataType", { DataType::F16 })), |
| 899 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 900 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 901 | { |
| 902 | // Validate output |
| 903 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 904 | } |
| 905 | TEST_SUITE_END() // Conv1x3 |
| 906 | |
| 907 | TEST_SUITE(Conv5x5) |
| 908 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 909 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), |
| 910 | framework::dataset::make("DataType", { DataType::F16 })), |
| 911 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 912 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 913 | |
| 914 | { |
| 915 | // Validate output |
| 916 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 917 | } |
| 918 | |
| 919 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 920 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), |
| 921 | framework::dataset::make("DataType", { DataType::F16 })), |
| 922 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 923 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 924 | |
| 925 | { |
| 926 | // Validate output |
| 927 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 928 | } |
| 929 | TEST_SUITE_END() // Conv5x5 |
| 930 | |
| 931 | TEST_SUITE(Conv5x1) |
| 932 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 933 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), |
| 934 | framework::dataset::make("DataType", { DataType::F16 })), |
| 935 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 936 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 937 | |
| 938 | { |
| 939 | // Validate output |
| 940 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 941 | } |
| 942 | |
| 943 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 944 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), |
| 945 | framework::dataset::make("DataType", { DataType::F16 })), |
| 946 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 947 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 948 | |
| 949 | { |
| 950 | // Validate output |
| 951 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 952 | } |
| 953 | TEST_SUITE_END() // Conv5x1 |
| 954 | |
| 955 | TEST_SUITE(Conv1x5) |
| 956 | FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::PRECOMMIT, |
| 957 | combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), |
| 958 | framework::dataset::make("DataType", { DataType::F16 })), |
| 959 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 960 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 961 | |
| 962 | { |
| 963 | // Validate output |
| 964 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 965 | } |
| 966 | |
| 967 | FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, |
| 968 | combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), |
| 969 | framework::dataset::make("DataType", { DataType::F16 })), |
| 970 | framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })), |
| 971 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 972 | |
| 973 | { |
| 974 | // Validate output |
| 975 | validate(CLAccessor(_target), _reference, tolerance_convolution_layer_f16); |
| 976 | } |
| 977 | TEST_SUITE_END() // Conv1x5 |
| 978 | |
| 979 | TEST_SUITE_END() // FP16 |
Vidhya Sudhan Loganathan | d307f06 | 2018-10-04 09:21:15 +0100 | [diff] [blame] | 980 | #endif /*#ifdef WINOGRAD_F16_SUPPORT*/ |
Gian Marco Iodice | d2fab73 | 2018-03-02 11:18:12 +0000 | [diff] [blame] | 981 | TEST_SUITE_END() // ConvolutionLayer |
Gian Marco Iodice | 7e4b239 | 2018-02-22 16:17:20 +0000 | [diff] [blame] | 982 | TEST_SUITE_END() // Winograd |
| 983 | TEST_SUITE_END() // CL |
Giorgio Arena | 1f9ca1d | 2018-03-01 11:13:45 +0000 | [diff] [blame] | 984 | } // namespace validation |
| 985 | } // namespace test |
| 986 | } // namespace arm_compute |