Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1 | // |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "PadTestImpl.hpp" |
| 7 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 8 | #include <QuantizeHelper.hpp> |
| 9 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 10 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 11 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 12 | |
| 13 | #include <test/TensorHelpers.hpp> |
| 14 | |
| 15 | // |
| 16 | // Implementation templates |
| 17 | // |
| 18 | |
| 19 | template<armnn::DataType ArmnnType, typename T> |
| 20 | LayerTestResult<T, 2> Pad2dTestCommon( |
| 21 | armnn::IWorkloadFactory& workloadFactory, |
| 22 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 23 | float qScale, |
| 24 | int32_t qOffset, |
| 25 | const float customPaddingValue) |
| 26 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 27 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 28 | const armnn::TensorShape inputShape{ 3, 3 }; |
| 29 | const armnn::TensorShape outputShape{ 7, 7 }; |
| 30 | |
| 31 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); |
| 32 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); |
| 33 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 34 | std::vector<T> inputValues = armnnUtils::QuantizedVector<T>( |
| 35 | { |
| 36 | // Height (3) x Width (3) |
| 37 | 4, 8, 6, |
| 38 | 7, 4, 4, |
| 39 | 3, 2, 4 |
| 40 | }, |
| 41 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 42 | |
| 43 | auto p = customPaddingValue; |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 44 | std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>( |
| 45 | { |
| 46 | p, p, p, p, p, p, p, |
| 47 | p, p, p, p, p, p, p, |
| 48 | p, p, 4, 8, 6, p, p, |
| 49 | p, p, 7, 4, 4, p, p, |
| 50 | p, p, 3, 2, 4, p, p, |
| 51 | p, p, p, p, p, p, p, |
| 52 | p, p, p, p, p, p, p |
| 53 | }, |
| 54 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 55 | |
| 56 | auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues)); |
| 57 | |
| 58 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 59 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
| 60 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 61 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 62 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 63 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 64 | ARMNN_NO_DEPRECATE_WARN_END |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 65 | |
| 66 | armnn::PadQueueDescriptor descriptor; |
| 67 | |
| 68 | std::vector<std::pair<unsigned int, unsigned int>> padList; |
| 69 | padList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 70 | padList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 71 | |
| 72 | descriptor.m_Parameters.m_PadList = padList; |
| 73 | descriptor.m_Parameters.m_PadValue = customPaddingValue; |
| 74 | armnn::WorkloadInfo info; |
| 75 | |
| 76 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 77 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 78 | |
| 79 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 80 | |
| 81 | inputHandle->Allocate(); |
| 82 | outputHandle->Allocate(); |
| 83 | |
| 84 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
| 85 | |
| 86 | workload->PostAllocationConfigure(); |
| 87 | workload->Execute(); |
| 88 | |
| 89 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
| 90 | |
| 91 | return result; |
| 92 | } |
| 93 | |
| 94 | template<armnn::DataType ArmnnType, typename T> |
| 95 | LayerTestResult<T, 3> Pad3dTestCommon( |
| 96 | armnn::IWorkloadFactory& workloadFactory, |
| 97 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 98 | float qScale, |
| 99 | int32_t qOffset) |
| 100 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 101 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 102 | const armnn::TensorShape inputShape{ 2, 2, 2 }; |
| 103 | const armnn::TensorShape outputShape{ 3, 5, 6 }; |
| 104 | |
| 105 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); |
| 106 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); |
| 107 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 108 | std::vector<T> inputValues = armnnUtils::QuantizedVector<T>( |
| 109 | { |
| 110 | // Channel 0, Height (2) x Width (2) |
| 111 | 0, 4, |
| 112 | 2, 5, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 113 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 114 | // Channel 1, Height (2) x Width (2) |
| 115 | 6, 1, |
| 116 | 5, 2 |
| 117 | }, |
| 118 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 119 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 120 | std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>( |
| 121 | { |
| 122 | 0, 0, 0, 0, 0, 0, |
| 123 | 0, 0, 0, 0, 0, 0, |
| 124 | 0, 0, 0, 4, 0, 0, |
| 125 | 0, 0, 2, 5, 0, 0, |
| 126 | 0, 0, 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 127 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 128 | 0, 0, 0, 0, 0, 0, |
| 129 | 0, 0, 0, 0, 0, 0, |
| 130 | 0, 0, 6, 1, 0, 0, |
| 131 | 0, 0, 5, 2, 0, 0, |
| 132 | 0, 0, 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 133 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 134 | 0, 0, 0, 0, 0, 0, |
| 135 | 0, 0, 0, 0, 0, 0, |
| 136 | 0, 0, 0, 0, 0, 0, |
| 137 | 0, 0, 0, 0, 0, 0, |
| 138 | 0, 0, 0, 0, 0, 0 |
| 139 | }, |
| 140 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 141 | |
| 142 | auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues)); |
| 143 | |
| 144 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 145 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
| 146 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 147 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 148 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 149 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 150 | ARMNN_NO_DEPRECATE_WARN_END |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 151 | |
| 152 | armnn::PadQueueDescriptor descriptor; |
| 153 | |
| 154 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 155 | PadList.push_back(std::pair<unsigned int, unsigned int>(0,1)); |
| 156 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 157 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 158 | |
| 159 | descriptor.m_Parameters.m_PadList = PadList; |
| 160 | armnn::WorkloadInfo info; |
| 161 | |
| 162 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 163 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 164 | |
| 165 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 166 | |
| 167 | inputHandle->Allocate(); |
| 168 | outputHandle->Allocate(); |
| 169 | |
| 170 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 171 | |
| 172 | workload->PostAllocationConfigure(); |
| 173 | workload->Execute(); |
| 174 | |
| 175 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 176 | |
| 177 | return result; |
| 178 | } |
| 179 | |
| 180 | template<armnn::DataType ArmnnType, typename T> |
| 181 | LayerTestResult<T, 4> Pad4dTestCommon( |
| 182 | armnn::IWorkloadFactory& workloadFactory, |
| 183 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 184 | float qScale, |
| 185 | int32_t qOffset) |
| 186 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 187 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 188 | const armnn::TensorShape inputShape{ 2, 2, 3, 2 }; |
| 189 | const armnn::TensorShape outputShape{ 4, 5, 7, 4 }; |
| 190 | |
| 191 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); |
| 192 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); |
| 193 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 194 | std::vector<T> inputValues = armnnUtils::QuantizedVector<T>( |
| 195 | { |
| 196 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 197 | 0, 1, |
| 198 | 2, 3, |
| 199 | 4, 5, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 200 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 201 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 202 | 6, 7, |
| 203 | 8, 9, |
| 204 | 10, 11, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 205 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 206 | // Batch 1, Channel 0, Height (3) x Width (2) |
| 207 | 12, 13, |
| 208 | 14, 15, |
| 209 | 16, 17, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 210 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 211 | // Batch 1, Channel 1, Height (3) x Width (2) |
| 212 | 18, 19, |
| 213 | 20, 21, |
| 214 | 22, 23 |
| 215 | }, |
| 216 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 217 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 218 | std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>( |
| 219 | { |
| 220 | 0, 0, 0, 0, |
| 221 | 0, 0, 0, 0, |
| 222 | 0, 0, 0, 0, |
| 223 | 0, 0, 0, 0, |
| 224 | 0, 0, 0, 0, |
| 225 | 0, 0, 0, 0, |
| 226 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 227 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 228 | 0, 0, 0, 0, |
| 229 | 0, 0, 0, 0, |
| 230 | 0, 0, 0, 0, |
| 231 | 0, 0, 0, 0, |
| 232 | 0, 0, 0, 0, |
| 233 | 0, 0, 0, 0, |
| 234 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 235 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 236 | 0, 0, 0, 0, |
| 237 | 0, 0, 0, 0, |
| 238 | 0, 0, 0, 0, |
| 239 | 0, 0, 0, 0, |
| 240 | 0, 0, 0, 0, |
| 241 | 0, 0, 0, 0, |
| 242 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 243 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 244 | 0, 0, 0, 0, |
| 245 | 0, 0, 0, 0, |
| 246 | 0, 0, 0, 0, |
| 247 | 0, 0, 0, 0, |
| 248 | 0, 0, 0, 0, |
| 249 | 0, 0, 0, 0, |
| 250 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 251 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 252 | 0, 0, 0, 0, |
| 253 | 0, 0, 0, 0, |
| 254 | 0, 0, 0, 0, |
| 255 | 0, 0, 0, 0, |
| 256 | 0, 0, 0, 0, |
| 257 | 0, 0, 0, 0, |
| 258 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 259 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 260 | 0, 0, 0, 0, |
| 261 | 0, 0, 0, 0, |
| 262 | 0, 0, 0, 0, |
| 263 | 0, 0, 0, 0, |
| 264 | 0, 0, 0, 0, |
| 265 | 0, 0, 0, 0, |
| 266 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 267 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 268 | 0, 0, 0, 0, |
| 269 | 0, 0, 0, 0, |
| 270 | 0, 0, 0, 0, |
| 271 | 0, 0, 0, 0, |
| 272 | 0, 0, 0, 0, |
| 273 | 0, 0, 0, 0, |
| 274 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 275 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 276 | 0, 0, 0, 0, |
| 277 | 0, 0, 0, 0, |
| 278 | 0, 0, 0, 0, |
| 279 | 0, 0, 1, 0, |
| 280 | 0, 2, 3, 0, |
| 281 | 0, 4, 5, 0, |
| 282 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 283 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 284 | 0, 0, 0, 0, |
| 285 | 0, 0, 0, 0, |
| 286 | 0, 0, 0, 0, |
| 287 | 0, 6, 7, 0, |
| 288 | 0, 8, 9, 0, |
| 289 | 0, 10, 11, 0, |
| 290 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 291 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 292 | 0, 0, 0, 0, |
| 293 | 0, 0, 0, 0, |
| 294 | 0, 0, 0, 0, |
| 295 | 0, 0, 0, 0, |
| 296 | 0, 0, 0, 0, |
| 297 | 0, 0, 0, 0, |
| 298 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 299 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 300 | 0, 0, 0, 0, |
| 301 | 0, 0, 0, 0, |
| 302 | 0, 0, 0, 0, |
| 303 | 0, 0, 0, 0, |
| 304 | 0, 0, 0, 0, |
| 305 | 0, 0, 0, 0, |
| 306 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 307 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 308 | 0, 0, 0, 0, |
| 309 | 0, 0, 0, 0, |
| 310 | 0, 0, 0, 0, |
| 311 | 0, 0, 0, 0, |
| 312 | 0, 0, 0, 0, |
| 313 | 0, 0, 0, 0, |
| 314 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 315 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 316 | 0, 0, 0, 0, |
| 317 | 0, 0, 0, 0, |
| 318 | 0, 0, 0, 0, |
| 319 | 0, 12, 13, 0, |
| 320 | 0, 14, 15, 0, |
| 321 | 0, 16, 17, 0, |
| 322 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 323 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 324 | 0, 0, 0, 0, |
| 325 | 0, 0, 0, 0, |
| 326 | 0, 0, 0, 0, |
| 327 | 0, 18, 19, 0, |
| 328 | 0, 20, 21, 0, |
| 329 | 0, 22, 23, 0, |
| 330 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 331 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 332 | 0, 0, 0, 0, |
| 333 | 0, 0, 0, 0, |
| 334 | 0, 0, 0, 0, |
| 335 | 0, 0, 0, 0, |
| 336 | 0, 0, 0, 0, |
| 337 | 0, 0, 0, 0, |
| 338 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 339 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 340 | 0, 0, 0, 0, |
| 341 | 0, 0, 0, 0, |
| 342 | 0, 0, 0, 0, |
| 343 | 0, 0, 0, 0, |
| 344 | 0, 0, 0, 0, |
| 345 | 0, 0, 0, 0, |
| 346 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 347 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 348 | 0, 0, 0, 0, |
| 349 | 0, 0, 0, 0, |
| 350 | 0, 0, 0, 0, |
| 351 | 0, 0, 0, 0, |
| 352 | 0, 0, 0, 0, |
| 353 | 0, 0, 0, 0, |
| 354 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 355 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 356 | 0, 0, 0, 0, |
| 357 | 0, 0, 0, 0, |
| 358 | 0, 0, 0, 0, |
| 359 | 0, 0, 0, 0, |
| 360 | 0, 0, 0, 0, |
| 361 | 0, 0, 0, 0, |
| 362 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 363 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 364 | 0, 0, 0, 0, |
| 365 | 0, 0, 0, 0, |
| 366 | 0, 0, 0, 0, |
| 367 | 0, 0, 0, 0, |
| 368 | 0, 0, 0, 0, |
| 369 | 0, 0, 0, 0, |
| 370 | 0, 0, 0, 0, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 371 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 372 | 0, 0, 0, 0, |
| 373 | 0, 0, 0, 0, |
| 374 | 0, 0, 0, 0, |
| 375 | 0, 0, 0, 0, |
| 376 | 0, 0, 0, 0, |
| 377 | 0, 0, 0, 0, |
| 378 | 0, 0, 0, 0 |
| 379 | }, |
| 380 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 381 | |
| 382 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues)); |
| 383 | |
| 384 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 385 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
| 386 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 387 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 388 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 389 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 390 | ARMNN_NO_DEPRECATE_WARN_END |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 391 | |
| 392 | armnn::PadQueueDescriptor descriptor; |
| 393 | |
| 394 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 395 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 396 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 397 | PadList.push_back(std::pair<unsigned int, unsigned int>(3,1)); |
| 398 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 399 | |
| 400 | descriptor.m_Parameters.m_PadList = PadList; |
| 401 | armnn::WorkloadInfo info; |
| 402 | |
| 403 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 404 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 405 | |
| 406 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 407 | |
| 408 | inputHandle->Allocate(); |
| 409 | outputHandle->Allocate(); |
| 410 | |
| 411 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 412 | |
| 413 | workload->PostAllocationConfigure(); |
| 414 | workload->Execute(); |
| 415 | |
| 416 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 417 | |
| 418 | return result; |
| 419 | } |
| 420 | |
| 421 | // |
| 422 | // Explicit template specializations |
| 423 | // |
| 424 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 425 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2> |
| 426 | Pad2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 427 | armnn::IWorkloadFactory& workloadFactory, |
| 428 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 429 | float qScale, |
| 430 | int32_t qOffset, |
| 431 | const float customPaddingValue); |
| 432 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 433 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3> |
| 434 | Pad3dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 435 | armnn::IWorkloadFactory& workloadFactory, |
| 436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 437 | float qScale, |
| 438 | int32_t qOffset); |
| 439 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 440 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4> |
| 441 | Pad4dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 442 | armnn::IWorkloadFactory& workloadFactory, |
| 443 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 444 | float qScale, |
| 445 | int32_t qOffset); |
| 446 | |
| 447 | // |
| 448 | // Implementation functions |
| 449 | // |
| 450 | |
| 451 | LayerTestResult<uint8_t, 2> PadUint82dTest( |
| 452 | armnn::IWorkloadFactory& workloadFactory, |
| 453 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 454 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 455 | return Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 456 | } |
| 457 | |
| 458 | LayerTestResult<uint8_t, 2> PadUint82dCustomPaddingTest( |
| 459 | armnn::IWorkloadFactory& workloadFactory, |
| 460 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 461 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 462 | return Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0, 1.0f); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 463 | } |
| 464 | |
| 465 | LayerTestResult<uint8_t, 3> PadUint83dTest( |
| 466 | armnn::IWorkloadFactory& workloadFactory, |
| 467 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 468 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 469 | return Pad3dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 470 | } |
| 471 | |
| 472 | LayerTestResult<uint8_t, 4> PadUint84dTest( |
| 473 | armnn::IWorkloadFactory& workloadFactory, |
| 474 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 475 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 476 | return Pad4dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 477 | } |
| 478 | |
| 479 | LayerTestResult<float, 2> PadFloat322dTest( |
| 480 | armnn::IWorkloadFactory& workloadFactory, |
| 481 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 482 | { |
| 483 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
| 484 | } |
| 485 | |
| 486 | LayerTestResult<float, 2> PadFloat322dCustomPaddingTest( |
| 487 | armnn::IWorkloadFactory& workloadFactory, |
| 488 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 489 | { |
| 490 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0, 1.0f); |
| 491 | } |
| 492 | |
| 493 | LayerTestResult<float, 3> PadFloat323dTest( |
| 494 | armnn::IWorkloadFactory& workloadFactory, |
| 495 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 496 | { |
| 497 | return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
| 498 | } |
| 499 | |
| 500 | LayerTestResult<float, 4> PadFloat324dTest( |
| 501 | armnn::IWorkloadFactory& workloadFactory, |
| 502 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 503 | { |
| 504 | return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
| 505 | } |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 506 | |
| 507 | LayerTestResult<armnn::BFloat16, 2> PadBFloat162dTest( |
| 508 | armnn::IWorkloadFactory& workloadFactory, |
| 509 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 510 | { |
| 511 | return Pad2dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, 0.0f, 0); |
| 512 | } |
| 513 | |
| 514 | LayerTestResult<armnn::BFloat16, 2> PadBFloat162dCustomPaddingTest( |
| 515 | armnn::IWorkloadFactory& workloadFactory, |
| 516 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 517 | { |
| 518 | return Pad2dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, 0.0f, 0, 1.0f); |
| 519 | } |
| 520 | |
| 521 | LayerTestResult<armnn::BFloat16, 3> PadBFloat163dTest( |
| 522 | armnn::IWorkloadFactory& workloadFactory, |
| 523 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 524 | { |
| 525 | return Pad3dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, 0.0f, 0); |
| 526 | } |
| 527 | |
| 528 | LayerTestResult<armnn::BFloat16, 4> PadBFloat164dTest( |
| 529 | armnn::IWorkloadFactory& workloadFactory, |
| 530 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 531 | { |
| 532 | return Pad4dTestCommon<armnn::DataType::BFloat16>(workloadFactory, memoryManager, 0.0f, 0); |
| 533 | } |
Sadik Armagan | 041b3c0 | 2020-06-04 10:32:18 +0100 | [diff] [blame] | 534 | |
| 535 | LayerTestResult<int8_t, 2> PadInt82dTest( |
| 536 | armnn::IWorkloadFactory& workloadFactory, |
| 537 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 538 | { |
| 539 | return Pad2dTestCommon<armnn::DataType::QSymmS8>(workloadFactory, memoryManager, 1.0f, 0); |
| 540 | } |
| 541 | |
| 542 | LayerTestResult<int8_t, 2> PadInt82dCustomPaddingTest( |
| 543 | armnn::IWorkloadFactory& workloadFactory, |
| 544 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 545 | { |
| 546 | return Pad2dTestCommon<armnn::DataType::QSymmS8>(workloadFactory, memoryManager, 1.0f, 0, 1.0f); |
| 547 | } |
| 548 | |
| 549 | LayerTestResult<int8_t, 3> PadInt83dTest( |
| 550 | armnn::IWorkloadFactory& workloadFactory, |
| 551 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 552 | { |
| 553 | return Pad3dTestCommon<armnn::DataType::QSymmS8>(workloadFactory, memoryManager, 1.0f, 0); |
| 554 | } |
| 555 | |
| 556 | LayerTestResult<int8_t, 4> PadInt84dTest( |
| 557 | armnn::IWorkloadFactory& workloadFactory, |
| 558 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 559 | { |
| 560 | return Pad4dTestCommon<armnn::DataType::QSymmS8>(workloadFactory, memoryManager, 1.0f, 0); |
| 561 | } |