Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2021 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, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/runtime/CL/CLTensor.h" |
| 25 | #include "arm_compute/runtime/CL/functions/CLConv3D.h" |
| 26 | #include "arm_compute/runtime/FunctionDescriptors.h" |
| 27 | #include "tests/CL/CLAccessor.h" |
| 28 | #include "tests/framework/Macros.h" |
| 29 | #include "tests/framework/datasets/Datasets.h" |
| 30 | #include "tests/validation/Validation.h" |
| 31 | #include "tests/validation/fixtures/DirectConvolution3DFixture.h" |
| 32 | |
| 33 | namespace arm_compute |
| 34 | { |
| 35 | namespace test |
| 36 | { |
| 37 | namespace validation |
| 38 | { |
| 39 | namespace |
| 40 | { |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 41 | RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance for floating point tests */ |
| 42 | RelativeTolerance<float> tolerance_fp32(0.05f); /**< Tolerance for floating point tests */ |
| 43 | constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance for quantized tests */ |
| 44 | constexpr float abs_tolerance_f32(0.0001f); /**< Absolute tolerance for FP32 tests*/ |
| 45 | constexpr float tolerance_num = 0.07f; /**< Tolerance number */ |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 46 | } // namespace |
| 47 | |
| 48 | TEST_SUITE(CL) |
| 49 | TEST_SUITE(DirectConvolution3D) |
| 50 | |
| 51 | // *INDENT-OFF* |
| 52 | // clang-format off |
| 53 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip( |
| 54 | framework::dataset::make("InputShape", { TensorShape(27U, 13U, 5U, 3U), // Unsupported data layout |
| 55 | TensorShape(27U, 13U, 5U, 3U), // Unsupported activation enabled |
| 56 | TensorShape(27U, 13U, 5U, 3U), // Mismatching data type |
| 57 | TensorShape(27U, 13U, 5U, 3U), // Unsupported data type |
| 58 | TensorShape(27U, 13U, 5U, 3U), // Mismatching input feature maps |
| 59 | TensorShape(27U, 13U, 5U, 3U), // Mismatching output feature maps |
| 60 | TensorShape(27U, 13U, 5U, 3U), // Mismatching bias shape |
| 61 | TensorShape(27U, 13U, 5U, 3U), // Unsupported number of weights dimensions |
| 62 | TensorShape(27U, 13U, 5U, 3U), // Unsupported number of biases dimensions |
| 63 | TensorShape(27U, 13U, 5U, 3U), // Mismatching output shape |
| 64 | TensorShape(27U, 13U, 5U, 3U) |
| 65 | }), |
| 66 | framework::dataset::make("WeightsShape", { TensorShape(4U, 27U, 3U, 3U, 3U), |
| 67 | TensorShape(4U, 27U, 3U, 3U, 3U), |
| 68 | TensorShape(4U, 27U, 3U, 3U, 3U), |
| 69 | TensorShape(4U, 27U, 3U, 3U, 3U), |
| 70 | TensorShape(4U, 32U, 3U, 3U, 3U), |
| 71 | TensorShape(8U, 27U, 3U, 3U, 3U), |
| 72 | TensorShape(4U, 27U, 3U, 3U, 3U), |
| 73 | TensorShape(4U, 27U, 3U, 3U, 3U, 2U), |
| 74 | TensorShape(4U, 27U, 3U, 3U, 3U), |
| 75 | TensorShape(4U, 27U, 3U, 3U, 3U), |
| 76 | TensorShape(4U, 27U, 3U, 3U, 3U) |
| 77 | })), |
| 78 | framework::dataset::make("BiasesShape", { TensorShape(4U), |
| 79 | TensorShape(4U), |
| 80 | TensorShape(4U), |
| 81 | TensorShape(4U), |
| 82 | TensorShape(4U), |
| 83 | TensorShape(4U), |
| 84 | TensorShape(8U), |
| 85 | TensorShape(4U), |
| 86 | TensorShape(4U), |
| 87 | TensorShape(4U), |
| 88 | TensorShape(4U) |
| 89 | })), |
| 90 | framework::dataset::make("OutputShape", { TensorShape(4U, 13U, 5U, 3U), |
| 91 | TensorShape(4U, 13U, 5U, 3U), |
| 92 | TensorShape(4U, 13U, 5U, 3U), |
| 93 | TensorShape(4U, 13U, 5U, 3U), |
| 94 | TensorShape(4U, 13U, 5U, 3U), |
| 95 | TensorShape(4U, 13U, 5U, 3U), |
| 96 | TensorShape(4U, 13U, 5U, 3U), |
| 97 | TensorShape(4U, 13U, 5U, 3U), |
| 98 | TensorShape(4U, 13U, 5U, 3U, 2U), |
| 99 | TensorShape(4U, 11U, 5U, 3U), |
| 100 | TensorShape(4U, 13U, 5U, 3U) |
| 101 | })), |
| 102 | framework::dataset::make("Conv3dInfo", { Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), |
| 103 | Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), |
| 104 | Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), |
| 105 | Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), |
| 106 | Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), |
| 107 | Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), |
| 108 | Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), |
| 109 | Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), |
| 110 | Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), |
| 111 | Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false), |
| 112 | Conv3dInfo(Size3D(1U, 1U, 1U), Padding3D(1U, 1U, 1U), ActivationLayerInfo(), Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false) |
| 113 | })), |
| 114 | framework::dataset::make("SrcDataType", { DataType::F32, |
| 115 | DataType::F32, |
| 116 | DataType::F32, |
Freddie Liardet | 69df64f | 2021-10-26 14:06:47 +0100 | [diff] [blame] | 117 | DataType::U32, |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 118 | DataType::F32, |
| 119 | DataType::F32, |
| 120 | DataType::F32, |
| 121 | DataType::F32, |
| 122 | DataType::F32, |
| 123 | DataType::F32, |
| 124 | DataType::F32 |
| 125 | })), |
| 126 | framework::dataset::make("WeightsDataType", { DataType::F32, |
| 127 | DataType::F32, |
| 128 | DataType::F16, |
Freddie Liardet | 69df64f | 2021-10-26 14:06:47 +0100 | [diff] [blame] | 129 | DataType::U32, |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 130 | DataType::F32, |
| 131 | DataType::F32, |
| 132 | DataType::F32, |
| 133 | DataType::F32, |
| 134 | DataType::F32, |
| 135 | DataType::F32, |
| 136 | DataType::F32 |
| 137 | })), |
| 138 | framework::dataset::make("DataLayout", { DataLayout::NCDHW, |
| 139 | DataLayout::NDHWC, |
| 140 | DataLayout::NDHWC, |
| 141 | DataLayout::NDHWC, |
| 142 | DataLayout::NDHWC, |
| 143 | DataLayout::NDHWC, |
| 144 | DataLayout::NDHWC, |
| 145 | DataLayout::NDHWC, |
| 146 | DataLayout::NDHWC, |
| 147 | DataLayout::NDHWC, |
| 148 | DataLayout::NDHWC |
| 149 | })), |
| 150 | framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), |
| 151 | input_shape, weights_shape, biases_shape, output_shape, conv3d_info, src_data_type, weights_data_type, data_layout, expected) |
| 152 | { |
| 153 | TensorInfo input_info = TensorInfo(input_shape, 1, src_data_type); |
| 154 | TensorInfo weights_info = TensorInfo(weights_shape, 1, weights_data_type); |
| 155 | TensorInfo biases_info = TensorInfo(biases_shape, 1, src_data_type); |
| 156 | TensorInfo output_info = TensorInfo(output_shape, 1, src_data_type); |
| 157 | |
| 158 | input_info.set_data_layout(data_layout); |
| 159 | weights_info.set_data_layout(data_layout); |
| 160 | biases_info.set_data_layout(data_layout); |
| 161 | output_info.set_data_layout(data_layout); |
| 162 | |
| 163 | bool is_valid = bool(CLConv3D::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv3d_info)); |
| 164 | ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
| 165 | } |
| 166 | |
| 167 | template <typename T> |
| 168 | using CLDirectConvolution3DFixture = DirectConvolution3DValidationFixture<CLTensor, CLAccessor, CLConv3D, T>; |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 169 | template <typename T> |
| 170 | using CLDirectConvolution3DQuantizedFixture = DirectConvolution3DValidationQuantizedFixture<CLTensor, CLAccessor, CLConv3D, T>; |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 171 | |
| 172 | TEST_SUITE(NDHWC) |
| 173 | TEST_SUITE(FP16) |
| 174 | FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DFixture<half>, framework::DatasetMode::PRECOMMIT, |
| 175 | combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip( |
| 176 | framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U), |
| 177 | TensorShape(15U, 7U, 11U, 7U), |
| 178 | TensorShape(19U, 5U, 16U, 4U), |
| 179 | TensorShape(13U, 5U, 17U, 2U) |
| 180 | }), |
| 181 | framework::dataset::make("StrideX", { 1, 3, 2, 1 })), |
| 182 | framework::dataset::make("StrideY", { 2, 1, 3, 1 })), |
| 183 | framework::dataset::make("StrideZ", { 3, 2, 1, 1 })), |
| 184 | framework::dataset::make("PadX", { 0, 2, 1, 0 })), |
| 185 | framework::dataset::make("PadY", { 1, 0, 2, 0 })), |
| 186 | framework::dataset::make("PadZ", { 2, 1, 0, 0 })), |
| 187 | framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })), |
| 188 | framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })), |
| 189 | framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })), |
| 190 | framework::dataset::make("NumKernels", { 5, 3, 1, 11 })), |
| 191 | framework::dataset::make("HasBias", { true, true, true, false })), |
| 192 | framework::dataset::make("Activation", ActivationLayerInfo())), |
| 193 | framework::dataset::make("DataType", DataType::F16)), |
| 194 | framework::dataset::make("DataLayout", DataLayout::NDHWC))) |
| 195 | { |
| 196 | validate(CLAccessor(_target), _reference, tolerance_fp16, tolerance_num); |
| 197 | } |
| 198 | |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 199 | TEST_SUITE_END() // FP16 |
| 200 | |
| 201 | TEST_SUITE(FP32) |
| 202 | FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DFixture<float>, framework::DatasetMode::PRECOMMIT, |
| 203 | combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip( |
| 204 | framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U), |
| 205 | TensorShape(15U, 7U, 11U, 7U), |
| 206 | TensorShape(19U, 5U, 16U, 4U), |
| 207 | TensorShape(13U, 5U, 17U, 2U) |
| 208 | }), |
| 209 | framework::dataset::make("StrideX", { 1, 3, 2, 1 })), |
| 210 | framework::dataset::make("StrideY", { 2, 1, 3, 1 })), |
| 211 | framework::dataset::make("StrideZ", { 3, 2, 1, 1 })), |
| 212 | framework::dataset::make("PadX", { 0, 2, 1, 0 })), |
| 213 | framework::dataset::make("PadY", { 1, 0, 2, 0 })), |
| 214 | framework::dataset::make("PadZ", { 2, 1, 0, 0 })), |
| 215 | framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })), |
| 216 | framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })), |
| 217 | framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })), |
| 218 | framework::dataset::make("NumKernels", { 5, 3, 1, 11 })), |
| 219 | framework::dataset::make("HasBias", { true, true, true, false })), |
| 220 | framework::dataset::make("Activation", ActivationLayerInfo())), |
| 221 | framework::dataset::make("DataType", DataType::F32)), |
| 222 | framework::dataset::make("DataLayout", DataLayout::NDHWC))) |
| 223 | { |
| 224 | validate(CLAccessor(_target), _reference, tolerance_fp32, 0.0, abs_tolerance_f32); |
| 225 | } |
| 226 | |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 227 | // clang-format on |
| 228 | // *INDENT-ON* |
| 229 | TEST_SUITE_END() // FP32 |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 230 | |
| 231 | TEST_SUITE(QASYMM8) |
| 232 | FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, |
| 233 | combine(combine(combine(combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip( |
| 234 | framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U), |
| 235 | TensorShape(15U, 7U, 11U, 7U), |
| 236 | TensorShape(19U, 5U, 16U, 4U), |
| 237 | TensorShape(13U, 5U, 17U, 2U) |
| 238 | }), |
| 239 | framework::dataset::make("StrideX", { 1, 3, 2, 1 })), |
| 240 | framework::dataset::make("StrideY", { 2, 1, 3, 1 })), |
| 241 | framework::dataset::make("StrideZ", { 3, 2, 1, 1 })), |
| 242 | framework::dataset::make("PadX", { 0, 2, 1, 0 })), |
| 243 | framework::dataset::make("PadY", { 1, 0, 2, 0 })), |
| 244 | framework::dataset::make("PadZ", { 2, 1, 0, 0 })), |
| 245 | framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })), |
| 246 | framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })), |
| 247 | framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })), |
| 248 | framework::dataset::make("NumKernels", { 5, 3, 1, 11 })), |
| 249 | framework::dataset::make("HasBias", { true, true, true, false })), |
| 250 | framework::dataset::make("Activation", ActivationLayerInfo())), |
| 251 | framework::dataset::make("DataType", DataType::QASYMM8)), |
| 252 | framework::dataset::make("DataLayout", DataLayout::NDHWC)), |
| 253 | framework::dataset::make("SrcQuantizationInfo", QuantizationInfo(0.1f, 10))), |
| 254 | framework::dataset::make("WeightsQuantizationInfo", QuantizationInfo(0.3f, 20))), |
| 255 | framework::dataset::make("DstQuantizationInfo", QuantizationInfo(0.2f, 5)))) |
| 256 | { |
| 257 | validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| 258 | } |
| 259 | |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 260 | TEST_SUITE_END() // QASYMM8 |
| 261 | |
| 262 | TEST_SUITE(QASYMM8_SIGNED) |
| 263 | FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, |
| 264 | combine(combine(combine(combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip( |
| 265 | framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U), |
| 266 | TensorShape(15U, 7U, 11U, 7U), |
| 267 | TensorShape(19U, 5U, 16U, 4U), |
| 268 | TensorShape(13U, 5U, 17U, 2U) |
| 269 | }), |
| 270 | framework::dataset::make("StrideX", { 1, 3, 2, 1 })), |
| 271 | framework::dataset::make("StrideY", { 2, 1, 3, 1 })), |
| 272 | framework::dataset::make("StrideZ", { 3, 2, 1, 1 })), |
| 273 | framework::dataset::make("PadX", { 0, 2, 1, 0 })), |
| 274 | framework::dataset::make("PadY", { 1, 0, 2, 0 })), |
| 275 | framework::dataset::make("PadZ", { 2, 1, 0, 0 })), |
| 276 | framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })), |
| 277 | framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })), |
| 278 | framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })), |
| 279 | framework::dataset::make("NumKernels", { 5, 3, 1, 11 })), |
| 280 | framework::dataset::make("HasBias", { true, true, true, false })), |
| 281 | framework::dataset::make("Activation", ActivationLayerInfo())), |
| 282 | framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), |
| 283 | framework::dataset::make("DataLayout", DataLayout::NDHWC)), |
| 284 | framework::dataset::make("SrcQuantizationInfo", QuantizationInfo(0.1f, 10))), |
| 285 | framework::dataset::make("WeightsQuantizationInfo", QuantizationInfo(0.3f, 20))), |
| 286 | framework::dataset::make("DstQuantizationInfo", QuantizationInfo(0.2f, 5)))) |
| 287 | { |
| 288 | validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| 289 | } |
| 290 | |
Giorgio Arena | 51847d5 | 2021-10-19 15:45:57 +0100 | [diff] [blame] | 291 | TEST_SUITE_END() // QASYMM8_SIGNED |
| 292 | |
Giorgio Arena | 945ae9e | 2021-10-13 11:13:04 +0100 | [diff] [blame] | 293 | TEST_SUITE_END() // NDHWC |
| 294 | TEST_SUITE_END() // DirectConvolution3D |
| 295 | TEST_SUITE_END() // CL |
| 296 | |
| 297 | } // namespace validation |
| 298 | } // namespace test |
| 299 | } // namespace arm_compute |