Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 1 | // |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 2 | // Copyright © 2019 Arm Ltd and Contributors. All rights reserved. |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "TransposeConvolution2dTestImpl.hpp" |
| 7 | |
Matteo Martincigh | e011d20 | 2019-11-28 11:35:47 +0000 | [diff] [blame] | 8 | #include <QuantizeHelper.hpp> |
| 9 | |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 10 | |
Matteo Martincigh | e011d20 | 2019-11-28 11:35:47 +0000 | [diff] [blame] | 11 | #include <armnnUtils/Permute.hpp> |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 12 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 13 | #include <backendsCommon/TensorHandle.hpp> |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 14 | |
| 15 | #include <backendsCommon/test/DataLayoutUtils.hpp> |
| 16 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 17 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 18 | |
| 19 | #include <reference/RefWorkloadFactory.hpp> |
| 20 | |
| 21 | #include <test/TensorHelpers.hpp> |
| 22 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 23 | #include <doctest/doctest.h> |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 24 | |
| 25 | #include <string> |
| 26 | #include <utility> |
| 27 | #include <vector> |
| 28 | |
| 29 | namespace |
| 30 | { |
| 31 | |
| 32 | template<typename T> |
| 33 | using TensorData = std::pair<armnn::TensorInfo, std::vector<T>>; |
| 34 | |
| 35 | template<typename T> |
| 36 | void VerifyInputTensorData(const TensorData<T>& data, const std::string& tensorName) |
| 37 | { |
| 38 | if (data.first.GetNumElements() > data.second.size()) |
| 39 | { |
| 40 | throw armnn::InvalidArgumentException("Size of data too small for " + tensorName + ": expected " + |
| 41 | std::to_string(data.first.GetNumElements()) + "but got " + std::to_string(data.second.size())); |
| 42 | } |
| 43 | } |
| 44 | |
| 45 | template<typename T, typename BT> |
| 46 | void TransposeConvolution2dTestImpl(armnn::IWorkloadFactory& workloadFactory, |
| 47 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 48 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 49 | const armnn::TransposeConvolution2dDescriptor& descriptor, |
| 50 | const TensorData<T>& input, |
| 51 | TensorData<T>& output, |
| 52 | const TensorData<T>& weights, |
| 53 | const armnn::Optional<TensorData<BT>>& biases) |
| 54 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 55 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 56 | using namespace armnn; |
| 57 | |
| 58 | VerifyInputTensorData(input, "input"); |
| 59 | VerifyInputTensorData(weights, "biases"); |
| 60 | |
| 61 | if (descriptor.m_BiasEnabled) |
| 62 | { |
| 63 | if (!biases.has_value()) |
| 64 | { |
| 65 | throw InvalidArgumentException("Bias enabled but no bias data provided"); |
| 66 | } |
| 67 | VerifyInputTensorData(biases.value(), "biases"); |
| 68 | } |
| 69 | |
| 70 | // set up weights |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 71 | ScopedTensorHandle weightsTensor(weights.first); |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 72 | |
| 73 | TransposeConvolution2dQueueDescriptor queueDescriptor; |
| 74 | queueDescriptor.m_Parameters = descriptor; |
| 75 | queueDescriptor.m_Weight = &weightsTensor; |
| 76 | |
| 77 | AllocateAndCopyDataToITensorHandle(&weightsTensor, weights.second.data()); |
| 78 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 79 | std::unique_ptr<ScopedTensorHandle> biasesTensor; |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 80 | if (descriptor.m_BiasEnabled) |
| 81 | { |
| 82 | // set up biases |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 83 | biasesTensor = std::make_unique<ScopedTensorHandle>(biases.value().first); |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 84 | queueDescriptor.m_Bias = biasesTensor.get(); |
| 85 | |
| 86 | AllocateAndCopyDataToITensorHandle(biasesTensor.get(), biases.value().second.data()); |
| 87 | } |
| 88 | |
| 89 | // set up input and output handles |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 90 | std::unique_ptr<ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(input.first); |
| 91 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(output.first); |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 92 | |
| 93 | // set up workload |
| 94 | armnn::WorkloadInfo workloadInfo; |
| 95 | AddInputToWorkload(queueDescriptor, workloadInfo, input.first, inputHandle.get()); |
| 96 | AddOutputToWorkload(queueDescriptor, workloadInfo, output.first, outputHandle.get()); |
| 97 | |
| 98 | std::unique_ptr<armnn::IWorkload> workload = |
| 99 | workloadFactory.CreateTransposeConvolution2d(queueDescriptor, workloadInfo); |
| 100 | |
| 101 | inputHandle->Allocate(); |
| 102 | outputHandle->Allocate(); |
| 103 | |
| 104 | CopyDataToITensorHandle(inputHandle.get(), input.second.data()); |
| 105 | |
| 106 | ExecuteWorkload(*workload, memoryManager); |
| 107 | |
| 108 | // copy output |
Rob Hughes | bb46dde | 2020-05-20 15:27:37 +0100 | [diff] [blame] | 109 | output.second = std::vector<T>(output.first.GetNumElements(), T()); |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 110 | CopyDataFromITensorHandle(output.second.data(), outputHandle.get()); |
| 111 | } |
| 112 | |
| 113 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> |
| 114 | LayerTestResult<T, 4> TransposeConvolution2dTest( |
| 115 | armnn::IWorkloadFactory& workloadFactory, |
| 116 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 117 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 118 | const armnn::TransposeConvolution2dDescriptor& descriptor, |
| 119 | armnn::TensorInfo& inputInfo, |
| 120 | const std::vector<float>& inputData, |
| 121 | armnn::TensorInfo& outputInfo, |
| 122 | const std::vector<float>& expectedOutputData, |
| 123 | armnn::TensorInfo& weightsInfo, |
| 124 | const std::vector<float>& weightsData, |
| 125 | armnn::TensorInfo& biasesInfo, |
| 126 | const std::vector<float>& biasesData) |
| 127 | { |
| 128 | using namespace armnn; |
| 129 | |
| 130 | // set up quantization parameters |
| 131 | if (armnn::IsQuantizedType<T>()) |
| 132 | { |
| 133 | constexpr float qScale = 0.50f; |
| 134 | constexpr int32_t qOffset = 10; |
| 135 | |
| 136 | inputInfo.SetQuantizationScale(qScale); |
| 137 | inputInfo.SetQuantizationOffset(qOffset); |
| 138 | |
| 139 | outputInfo.SetQuantizationScale(qScale); |
| 140 | outputInfo.SetQuantizationOffset(qOffset); |
| 141 | |
| 142 | weightsInfo.SetQuantizationScale(qScale); |
| 143 | weightsInfo.SetQuantizationOffset(qOffset); |
| 144 | |
| 145 | biasesInfo.SetQuantizationScale(qScale * qScale); |
| 146 | biasesInfo.SetQuantizationOffset(0); |
| 147 | } |
| 148 | |
| 149 | // set up input |
| 150 | TensorData<T> input = |
| 151 | { |
| 152 | inputInfo, |
| 153 | armnnUtils::QuantizedVector<T>(inputData, inputInfo.GetQuantizationScale(), inputInfo.GetQuantizationOffset()) |
| 154 | }; |
| 155 | |
| 156 | // set up weights |
| 157 | TensorData<T> weights = |
| 158 | { |
| 159 | weightsInfo, |
| 160 | armnnUtils::QuantizedVector<T>(weightsData, |
| 161 | weightsInfo.GetQuantizationScale(), |
| 162 | weightsInfo.GetQuantizationOffset()) |
| 163 | }; |
| 164 | |
| 165 | // set up biases |
| 166 | using BT = armnn::ResolveType<ArmnnBType>; |
| 167 | Optional<TensorData<BT>> optionalBiases; |
| 168 | if (descriptor.m_BiasEnabled) |
| 169 | { |
| 170 | TensorData<BT> biases = |
| 171 | { |
| 172 | biasesInfo, |
| 173 | armnnUtils::QuantizedVector<BT>(biasesData, |
| 174 | biasesInfo.GetQuantizationScale(), |
| 175 | biasesInfo.GetQuantizationOffset()) |
| 176 | }; |
| 177 | |
| 178 | optionalBiases = Optional<TensorData<BT>>(biases); |
| 179 | } |
| 180 | |
| 181 | // set up output |
| 182 | TensorData<T> output = { outputInfo, {} }; |
| 183 | |
| 184 | // execute test |
| 185 | TransposeConvolution2dTestImpl(workloadFactory, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 186 | memoryManager, |
| 187 | tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 188 | descriptor, |
| 189 | input, |
| 190 | output, |
| 191 | weights, |
| 192 | optionalBiases); |
| 193 | |
| 194 | // construct result object |
| 195 | LayerTestResult<T, 4> testResult(outputInfo); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 196 | testResult.m_ActualData = output.second; |
| 197 | testResult.m_ExpectedData = armnnUtils::QuantizedVector<T>(expectedOutputData, |
| 198 | outputInfo.GetQuantizationScale(), |
| 199 | outputInfo.GetQuantizationOffset()); |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 200 | |
| 201 | return testResult; |
| 202 | } |
| 203 | |
| 204 | template<typename T> |
| 205 | void SwizzleData(armnn::TensorInfo& inputInfo, |
| 206 | std::vector<T>& inputData, |
| 207 | armnn::TensorInfo& outputInfo, |
| 208 | std::vector<T>& outputData, |
| 209 | armnn::TensorInfo& weightsInfo, |
| 210 | std::vector<T>& weightsData) |
| 211 | { |
| 212 | PermuteTensorNchwToNhwc<T>(inputInfo, inputData); |
| 213 | PermuteTensorNchwToNhwc<T>(outputInfo, outputData); |
| 214 | PermuteTensorNchwToNhwc<T>(weightsInfo, weightsData); |
| 215 | } |
| 216 | |
| 217 | } // anonymous namespace |
| 218 | |
| 219 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 220 | LayerTestResult<T, 4> SimpleTransposeConvolution2dTest( |
| 221 | armnn::IWorkloadFactory& workloadFactory, |
| 222 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 223 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 224 | bool biasEnabled, |
| 225 | const armnn::DataLayout layout) |
| 226 | { |
| 227 | using namespace armnn; |
| 228 | |
| 229 | constexpr unsigned int batches = 1u; |
| 230 | constexpr unsigned int channels = 1u; |
| 231 | |
| 232 | constexpr unsigned int wInput = 3u; |
| 233 | constexpr unsigned int hInput = wInput; |
| 234 | |
| 235 | constexpr unsigned int wOutput = 5u; |
| 236 | constexpr unsigned int hOutput = wOutput; |
| 237 | |
| 238 | constexpr unsigned int wWeights = 3u; |
| 239 | constexpr unsigned int hWeights = wWeights; |
| 240 | |
| 241 | TensorShape inputShape = { batches, channels, hInput, wInput }; |
| 242 | TensorShape outputShape = { batches, channels, hOutput, wOutput }; |
| 243 | TensorShape weightsShape = { batches, channels, hWeights, wWeights }; |
| 244 | |
| 245 | TensorInfo inputInfo(inputShape, ArmnnType); |
| 246 | TensorInfo outputInfo(outputShape, ArmnnType); |
| 247 | TensorInfo weightsInfo(weightsShape, ArmnnType); |
| 248 | TensorInfo biasesInfo({ channels }, ArmnnBType); |
| 249 | |
| 250 | std::vector<float> inputData = |
| 251 | { |
| 252 | 1.f, 1.f, 1.f, |
| 253 | 1.f, 1.f, 1.f, |
| 254 | 1.f, 1.f, 1.f |
| 255 | }; |
| 256 | |
| 257 | std::vector<float> weightsData = |
| 258 | { |
| 259 | 1.f, 2.f, 3.f, |
| 260 | 4.f, 5.f, 6.f, |
| 261 | 7.f, 8.f, 9.f |
| 262 | }; |
| 263 | |
| 264 | std::vector<float> biasesData = { 1.f }; |
| 265 | |
| 266 | std::vector<float> expectedOutputData = |
| 267 | { |
| 268 | 1.f, 3.f, 6.f, 5.f, 3.f, |
| 269 | 5.f, 12.f, 21.f, 16.f, 9.f, |
| 270 | 12.f, 27.f, 45.f, 33.f, 18.f, |
| 271 | 11.f, 24.f, 39.f, 28.f, 15.f, |
| 272 | 7.f, 15.f, 24.f, 17.f, 9.f |
| 273 | }; |
| 274 | |
| 275 | if (biasEnabled) |
| 276 | { |
| 277 | // apply bias to expected output data |
| 278 | std::transform(expectedOutputData.begin(), expectedOutputData.end(), expectedOutputData.begin(), |
| 279 | [&](float f) -> float { return f + biasesData[0]; }); |
| 280 | } |
| 281 | |
| 282 | TransposeConvolution2dDescriptor descriptor; |
| 283 | descriptor.m_StrideX = 1; |
| 284 | descriptor.m_StrideY = 1; |
| 285 | descriptor.m_BiasEnabled = biasEnabled; |
| 286 | descriptor.m_DataLayout = layout; |
| 287 | |
| 288 | // swizzle data if needed |
| 289 | if (layout == armnn::DataLayout::NHWC) |
| 290 | { |
| 291 | SwizzleData(inputInfo, inputData, outputInfo, expectedOutputData, weightsInfo, weightsData); |
| 292 | } |
| 293 | |
| 294 | return TransposeConvolution2dTest<ArmnnType, ArmnnBType>(workloadFactory, |
| 295 | memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 296 | tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 297 | descriptor, |
| 298 | inputInfo, |
| 299 | inputData, |
| 300 | outputInfo, |
| 301 | expectedOutputData, |
| 302 | weightsInfo, |
| 303 | weightsData, |
| 304 | biasesInfo, |
| 305 | biasesData); |
| 306 | } |
| 307 | |
| 308 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 309 | LayerTestResult<T, 4> PaddedTransposeConvolution2dTest( |
| 310 | armnn::IWorkloadFactory& workloadFactory, |
| 311 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 312 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 313 | bool biasEnabled, |
| 314 | const armnn::DataLayout layout) |
| 315 | { |
| 316 | using namespace armnn; |
| 317 | |
| 318 | constexpr unsigned int batches = 1u; |
| 319 | constexpr unsigned int channels = 1u; |
| 320 | |
| 321 | constexpr unsigned int wInput = 4u; |
| 322 | constexpr unsigned int hInput = wInput; |
| 323 | |
| 324 | constexpr unsigned int wOutput = 2u; |
| 325 | constexpr unsigned int hOutput = wOutput; |
| 326 | |
| 327 | constexpr unsigned int wWeights = 3u; |
| 328 | constexpr unsigned int hWeights = wWeights; |
| 329 | |
| 330 | TensorShape inputShape = { batches, channels, hInput, wInput }; |
| 331 | TensorShape outputShape = { batches, channels, hOutput, wOutput }; |
| 332 | TensorShape weightsShape = { batches, channels, hWeights, wWeights }; |
| 333 | |
| 334 | TensorInfo inputInfo(inputShape, ArmnnType); |
| 335 | TensorInfo outputInfo(outputShape, ArmnnType); |
| 336 | TensorInfo weightsInfo(weightsShape, ArmnnType); |
| 337 | TensorInfo biasesInfo({ channels }, ArmnnBType); |
| 338 | |
| 339 | std::vector<float> inputData = |
| 340 | { |
| 341 | 1.f, 3.f, 2.f, 1.f, |
| 342 | 1.f, 3.f, 3.f, 1.f, |
| 343 | 2.f, 1.f, 1.f, 3.f, |
| 344 | 3.f, 2.f, 3.f, 3.f |
| 345 | }; |
| 346 | |
| 347 | std::vector<float> weightsData = |
| 348 | { |
| 349 | 1.f, 2.f, 3.f, |
| 350 | 0.f, 1.f, 0.f, |
| 351 | 2.f, 1.f, 2.f |
| 352 | }; |
| 353 | |
| 354 | std::vector<float> biasesData = { 1.f }; |
| 355 | |
| 356 | std::vector<float> expectedOutputData = |
| 357 | { |
| 358 | 21.f, 21.f, |
| 359 | 28.f, 27.f |
| 360 | }; |
| 361 | |
| 362 | if (biasEnabled) |
| 363 | { |
| 364 | // apply bias to expected output data |
| 365 | std::transform(expectedOutputData.begin(), expectedOutputData.end(), expectedOutputData.begin(), |
| 366 | [&](float f) -> float { return f + biasesData[0]; }); |
| 367 | } |
| 368 | |
| 369 | TransposeConvolution2dDescriptor descriptor; |
| 370 | descriptor.m_PadLeft = 2; |
| 371 | descriptor.m_PadRight = 2; |
| 372 | descriptor.m_PadTop = 2; |
| 373 | descriptor.m_PadBottom = 2; |
| 374 | descriptor.m_StrideX = 1; |
| 375 | descriptor.m_StrideY = 1; |
| 376 | descriptor.m_BiasEnabled = biasEnabled; |
| 377 | descriptor.m_DataLayout = layout; |
| 378 | |
| 379 | // swizzle data if needed |
| 380 | if (layout == armnn::DataLayout::NHWC) |
| 381 | { |
| 382 | SwizzleData(inputInfo, inputData, outputInfo, expectedOutputData, weightsInfo, weightsData); |
| 383 | } |
| 384 | |
| 385 | return TransposeConvolution2dTest<ArmnnType, ArmnnBType>(workloadFactory, |
| 386 | memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 387 | tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 388 | descriptor, |
| 389 | inputInfo, |
| 390 | inputData, |
| 391 | outputInfo, |
| 392 | expectedOutputData, |
| 393 | weightsInfo, |
| 394 | weightsData, |
| 395 | biasesInfo, |
| 396 | biasesData); |
| 397 | } |
| 398 | |
| 399 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 400 | LayerTestResult<T, 4> StridedTransposeConvolution2dTest( |
| 401 | armnn::IWorkloadFactory& workloadFactory, |
| 402 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 403 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 404 | bool biasEnabled, |
| 405 | const armnn::DataLayout layout) |
| 406 | { |
| 407 | using namespace armnn; |
| 408 | |
| 409 | constexpr unsigned int batches = 1u; |
| 410 | constexpr unsigned int channels = 1u; |
| 411 | |
| 412 | constexpr unsigned int wInput = 3u; |
| 413 | constexpr unsigned int hInput = wInput; |
| 414 | |
| 415 | constexpr unsigned int wOutput = 7u; |
| 416 | constexpr unsigned int hOutput = wOutput; |
| 417 | |
| 418 | constexpr unsigned int wWeights = 3u; |
| 419 | constexpr unsigned int hWeights = wWeights; |
| 420 | |
| 421 | TensorShape inputShape = { batches, channels, hInput, wInput }; |
| 422 | TensorShape outputShape = { batches, channels, hOutput, wOutput }; |
| 423 | TensorShape weightsShape = { batches, channels, hWeights, wWeights }; |
| 424 | |
| 425 | TensorInfo inputInfo(inputShape, ArmnnType); |
| 426 | TensorInfo outputInfo(outputShape, ArmnnType); |
| 427 | TensorInfo weightsInfo(weightsShape, ArmnnType); |
| 428 | TensorInfo biasesInfo({ channels }, ArmnnBType); |
| 429 | |
| 430 | std::vector<float> inputData = |
| 431 | { |
| 432 | 1.f, 1.f, 1.f, |
| 433 | 1.f, 1.f, 1.f, |
| 434 | 1.f, 1.f, 1.f |
| 435 | }; |
| 436 | |
| 437 | std::vector<float> weightsData = |
| 438 | { |
| 439 | 1.f, 2.f, 3.f, |
| 440 | 4.f, 5.f, 6.f, |
| 441 | 7.f, 8.f, 9.f |
| 442 | }; |
| 443 | |
| 444 | std::vector<float> biasesData = { 1.f }; |
| 445 | |
| 446 | std::vector<float> expectedOutputData = |
| 447 | { |
| 448 | 1.f, 2.f, 4.f, 2.f, 4.f, 2.f, 3.f, |
| 449 | 4.f, 5.f, 10.f, 5.f, 10.f, 5.f, 6.f, |
| 450 | 8.f, 10.f, 20.f, 10.f, 20.f, 10.f, 12.f, |
| 451 | 4.f, 5.f, 10.f, 5.f, 10.f, 5.f, 6.f, |
| 452 | 8.f, 10.f, 20.f, 10.f, 20.f, 10.f, 12.f, |
| 453 | 4.f, 5.f, 10.f, 5.f, 10.f, 5.f, 6.f, |
| 454 | 7.f, 8.f, 16.f, 8.f, 16.f, 8.f, 9.f |
| 455 | }; |
| 456 | |
| 457 | if (biasEnabled) |
| 458 | { |
| 459 | // apply bias to expected output data |
| 460 | std::transform(expectedOutputData.begin(), expectedOutputData.end(), expectedOutputData.begin(), |
| 461 | [&](float f) -> float { return f + biasesData[0]; }); |
| 462 | } |
| 463 | |
| 464 | TransposeConvolution2dDescriptor descriptor; |
| 465 | descriptor.m_StrideX = 2; |
| 466 | descriptor.m_StrideY = 2; |
| 467 | descriptor.m_BiasEnabled = biasEnabled; |
| 468 | descriptor.m_DataLayout = layout; |
| 469 | |
| 470 | // swizzle data if needed |
| 471 | if (layout == armnn::DataLayout::NHWC) |
| 472 | { |
| 473 | SwizzleData(inputInfo, inputData, outputInfo, expectedOutputData, weightsInfo, weightsData); |
| 474 | } |
| 475 | |
| 476 | return TransposeConvolution2dTest<ArmnnType, ArmnnBType>(workloadFactory, |
| 477 | memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 478 | tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 479 | descriptor, |
| 480 | inputInfo, |
| 481 | inputData, |
| 482 | outputInfo, |
| 483 | expectedOutputData, |
| 484 | weightsInfo, |
| 485 | weightsData, |
| 486 | biasesInfo, |
| 487 | biasesData); |
| 488 | } |
| 489 | |
| 490 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 491 | LayerTestResult<T, 4> MultiChannelTransposeConvolution2dTest( |
| 492 | armnn::IWorkloadFactory& workloadFactory, |
| 493 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 494 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 495 | const armnn::DataLayout layout) |
| 496 | { |
| 497 | using namespace armnn; |
| 498 | |
| 499 | TensorShape inputShape = { 1, 1, 2, 2 }; |
| 500 | TensorShape outputShape = { 1, 2, 5, 5 }; |
| 501 | |
| 502 | // OIHW for NCHW; OHWI for NHWC |
| 503 | TensorShape weightsShape = { 2, 1, 3, 3 }; |
| 504 | TensorShape biasesShape = { 2 }; |
| 505 | |
| 506 | TensorInfo inputInfo(inputShape, ArmnnType); |
| 507 | TensorInfo outputInfo(outputShape, ArmnnType); |
| 508 | TensorInfo weightsInfo(weightsShape, ArmnnType); |
| 509 | TensorInfo biasesInfo(biasesShape, ArmnnBType); |
| 510 | |
| 511 | std::vector<float> inputData = |
| 512 | { |
| 513 | 1.f, 2.f, |
| 514 | 3.f, 4.f, |
| 515 | }; |
| 516 | |
| 517 | std::vector<float> weightsData = |
| 518 | { |
| 519 | 1.f, 3.f, 5.f, |
| 520 | 7.f, 9.f, 11.f, |
| 521 | 13.f, 15.f, 17.f, |
| 522 | |
| 523 | 2.f, 4.f, 6.f, |
| 524 | 8.f, 10.f, 12.f, |
| 525 | 14.f, 16.f, 18.f |
| 526 | }; |
| 527 | |
| 528 | std::vector<float> biasesData = { -1.5f, -2.0f }; |
| 529 | |
| 530 | std::vector<float> expectedOutputData = |
| 531 | { |
| 532 | -0.5f, 1.5f, 5.5f, 4.5f, 8.5f, |
| 533 | 5.5f, 7.5f, 23.5f, 16.5f, 20.5f, |
| 534 | 14.5f, 22.5f, 60.5f, 40.5f, 52.5f, |
| 535 | 19.5f, 25.5f, 59.5f, 34.5f, 42.5f, |
| 536 | 37.5f, 43.5f, 101.5f, 58.5f, 66.5f, |
| 537 | |
| 538 | 0.0f, 2.0f, 8.0f, 6.0f, 10.0f, |
| 539 | 6.0f, 8.0f, 26.0f, 18.0f, 22.0f, |
| 540 | 18.0f, 26.0f, 70.0f, 46.0f, 58.0f, |
| 541 | 22.0f, 28.0f, 66.0f, 38.0f, 46.0f, |
| 542 | 40.0f, 46.0f, 108.0f, 62.0f, 70.0f |
| 543 | }; |
| 544 | |
| 545 | TransposeConvolution2dDescriptor descriptor; |
| 546 | descriptor.m_StrideX = 2; |
| 547 | descriptor.m_StrideY = 2; |
| 548 | descriptor.m_BiasEnabled = true; |
| 549 | descriptor.m_DataLayout = layout; |
| 550 | |
| 551 | // swizzle data if needed |
| 552 | if (layout == armnn::DataLayout::NHWC) |
| 553 | { |
| 554 | SwizzleData(inputInfo, inputData, outputInfo, expectedOutputData, weightsInfo, weightsData); |
| 555 | } |
| 556 | |
| 557 | return TransposeConvolution2dTest<ArmnnType, ArmnnBType>(workloadFactory, |
| 558 | memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 559 | tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 560 | descriptor, |
| 561 | inputInfo, |
| 562 | inputData, |
| 563 | outputInfo, |
| 564 | expectedOutputData, |
| 565 | weightsInfo, |
| 566 | weightsData, |
| 567 | biasesInfo, |
| 568 | biasesData); |
| 569 | } |
| 570 | |
| 571 | LayerTestResult<uint8_t, 4> TransposeConvolution2dPerAxisQuantTest( |
| 572 | armnn::IWorkloadFactory& workloadFactory, |
| 573 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 574 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 575 | const armnn::DataLayout layout) |
| 576 | { |
| 577 | using namespace armnn; |
| 578 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 579 | const DataType inputType = DataType::QAsymmU8; |
Derek Lamberti | d466a54 | 2020-01-22 15:37:29 +0000 | [diff] [blame] | 580 | const DataType kernelType = DataType::QSymmS8; |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 581 | const DataType biasType = DataType::Signed32; |
| 582 | |
| 583 | TensorInfo inputInfo ({ 1, 1, 2, 2 }, inputType, 0.50f, 10); |
| 584 | TensorInfo outputInfo({ 1, 2, 5, 5 }, inputType, 0.50f, 10); |
| 585 | |
| 586 | const std::vector<float> quantScales{ 0.25f, 0.5f }; |
| 587 | constexpr unsigned int quantDimension = 0; |
| 588 | |
| 589 | TensorInfo kernelInfo({ 2, 1, 3, 3 }, kernelType, quantScales, quantDimension); |
| 590 | |
| 591 | const std::vector<float> biasQuantScales{ 0.125f, 0.25f }; |
| 592 | TensorInfo biasInfo({ 2 }, biasType, biasQuantScales, quantDimension); |
| 593 | |
| 594 | std::vector<uint8_t> inputData = |
| 595 | { |
| 596 | 12, 14, |
| 597 | 16, 18 |
| 598 | }; |
| 599 | |
| 600 | std::vector<int8_t> kernelData = |
| 601 | { |
| 602 | 4, 12, 20, |
| 603 | 28, 36, 44, |
| 604 | 52, 60, 68, |
| 605 | |
| 606 | 4, 8, 12, |
| 607 | 16, 20, 24, |
| 608 | 28, 32, 36 |
| 609 | }; |
| 610 | |
| 611 | std::vector<int32_t> biasData = { -12, -8 }; |
| 612 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 613 | std::vector<uint8_t> actualOutput(outputInfo.GetNumElements()); |
| 614 | |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 615 | std::vector<uint8_t> expectedOutputData = |
| 616 | { |
| 617 | 9, 13, 21, 19, 27, |
| 618 | 21, 25, 57, 43, 51, |
| 619 | 39, 55, 131, 91, 115, |
| 620 | 49, 61, 129, 79, 95, |
| 621 | 85, 97, 213, 127, 143, |
| 622 | |
| 623 | 10, 14, 26, 22, 30, |
| 624 | 22, 26, 62, 46, 54, |
| 625 | 46, 62, 150, 102, 126, |
| 626 | 54, 66, 142, 86, 102, |
| 627 | 90, 102, 226, 134, 150 |
| 628 | }; |
| 629 | |
| 630 | if (layout == DataLayout::NHWC) |
| 631 | { |
| 632 | PermuteTensorNchwToNhwc(inputInfo, inputData); |
| 633 | PermuteTensorNchwToNhwc(kernelInfo, kernelData); |
| 634 | PermuteTensorNchwToNhwc(outputInfo, expectedOutputData); |
| 635 | } |
| 636 | |
| 637 | TransposeConvolution2dDescriptor descriptor; |
| 638 | descriptor.m_StrideX = 2; |
| 639 | descriptor.m_StrideY = 2; |
| 640 | descriptor.m_BiasEnabled = true; |
| 641 | descriptor.m_DataLayout = layout; |
| 642 | |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 643 | std::unique_ptr<ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputInfo); |
| 644 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo); |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 645 | |
| 646 | WorkloadInfo workloadInfo; |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 647 | ScopedTensorHandle weightTensor(kernelInfo); |
| 648 | ScopedTensorHandle biasTensor(biasInfo); |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 649 | |
| 650 | AllocateAndCopyDataToITensorHandle(&weightTensor, kernelData.data()); |
| 651 | AllocateAndCopyDataToITensorHandle(&biasTensor, biasData.data()); |
| 652 | |
| 653 | TransposeConvolution2dQueueDescriptor queueDescriptor; |
| 654 | queueDescriptor.m_Parameters = descriptor; |
| 655 | queueDescriptor.m_Weight = &weightTensor; |
| 656 | queueDescriptor.m_Bias = &biasTensor; |
| 657 | |
| 658 | AddInputToWorkload(queueDescriptor, workloadInfo, inputInfo, inputHandle.get()); |
| 659 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputInfo, outputHandle.get()); |
| 660 | |
| 661 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateTransposeConvolution2d(queueDescriptor, workloadInfo); |
| 662 | inputHandle->Allocate(); |
| 663 | outputHandle->Allocate(); |
| 664 | |
| 665 | CopyDataToITensorHandle(inputHandle.get(), inputData.data()); |
| 666 | |
| 667 | ExecuteWorkload(*workload, memoryManager); |
| 668 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 669 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 670 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 671 | return LayerTestResult<uint8_t, 4>(actualOutput, |
| 672 | expectedOutputData, |
| 673 | outputHandle->GetShape(), |
| 674 | outputInfo.GetShape()); |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 675 | } |
| 676 | |
| 677 | // |
| 678 | // Explicit template specializations |
| 679 | // |
| 680 | |
| 681 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 682 | SimpleTransposeConvolution2dTest<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 683 | armnn::IWorkloadFactory& workloadFactory, |
| 684 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 685 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 686 | bool biasEnabled, |
| 687 | const armnn::DataLayout layout); |
| 688 | |
Sadik Armagan | 303980c | 2020-04-17 12:45:14 +0100 | [diff] [blame] | 689 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| 690 | SimpleTransposeConvolution2dTest<armnn::DataType::QAsymmS8, armnn::DataType::Signed32>( |
| 691 | armnn::IWorkloadFactory& workloadFactory, |
| 692 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 693 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Sadik Armagan | 303980c | 2020-04-17 12:45:14 +0100 | [diff] [blame] | 694 | bool biasEnabled, |
| 695 | const armnn::DataLayout layout); |
| 696 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 697 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| 698 | SimpleTransposeConvolution2dTest<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 699 | armnn::IWorkloadFactory& workloadFactory, |
| 700 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 701 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 702 | bool biasEnabled, |
| 703 | const armnn::DataLayout layout); |
| 704 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 705 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4> |
| 706 | SimpleTransposeConvolution2dTest<armnn::DataType::QSymmS16, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 707 | armnn::IWorkloadFactory& workloadFactory, |
| 708 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 709 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 710 | bool biasEnabled, |
| 711 | const armnn::DataLayout layout); |
| 712 | |
| 713 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 714 | PaddedTransposeConvolution2dTest<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 715 | armnn::IWorkloadFactory& workloadFactory, |
| 716 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 717 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 718 | bool biasEnabled, |
| 719 | const armnn::DataLayout layout); |
| 720 | |
Sadik Armagan | 303980c | 2020-04-17 12:45:14 +0100 | [diff] [blame] | 721 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| 722 | PaddedTransposeConvolution2dTest<armnn::DataType::QAsymmS8, armnn::DataType::Signed32>( |
| 723 | armnn::IWorkloadFactory& workloadFactory, |
| 724 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 725 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Sadik Armagan | 303980c | 2020-04-17 12:45:14 +0100 | [diff] [blame] | 726 | bool biasEnabled, |
| 727 | const armnn::DataLayout layout); |
| 728 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 729 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| 730 | PaddedTransposeConvolution2dTest<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 731 | armnn::IWorkloadFactory& workloadFactory, |
| 732 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 733 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 734 | bool biasEnabled, |
| 735 | const armnn::DataLayout layout); |
| 736 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 737 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4> |
| 738 | PaddedTransposeConvolution2dTest<armnn::DataType::QSymmS16, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 739 | armnn::IWorkloadFactory& workloadFactory, |
| 740 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 741 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 742 | bool biasEnabled, |
| 743 | const armnn::DataLayout layout); |
| 744 | |
| 745 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 746 | StridedTransposeConvolution2dTest<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 747 | armnn::IWorkloadFactory& workloadFactory, |
| 748 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 749 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 750 | bool biasEnabled, |
| 751 | const armnn::DataLayout layout); |
| 752 | |
Sadik Armagan | 303980c | 2020-04-17 12:45:14 +0100 | [diff] [blame] | 753 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| 754 | StridedTransposeConvolution2dTest<armnn::DataType::QAsymmS8, armnn::DataType::Signed32>( |
| 755 | armnn::IWorkloadFactory& workloadFactory, |
| 756 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 757 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Sadik Armagan | 303980c | 2020-04-17 12:45:14 +0100 | [diff] [blame] | 758 | bool biasEnabled, |
| 759 | const armnn::DataLayout layout); |
| 760 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 761 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| 762 | StridedTransposeConvolution2dTest<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 763 | armnn::IWorkloadFactory& workloadFactory, |
| 764 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 765 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 766 | bool biasEnabled, |
| 767 | const armnn::DataLayout layout); |
| 768 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 769 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4> |
| 770 | StridedTransposeConvolution2dTest<armnn::DataType::QSymmS16, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 771 | armnn::IWorkloadFactory& workloadFactory, |
| 772 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 773 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 774 | bool biasEnabled, |
| 775 | const armnn::DataLayout layout); |
| 776 | |
| 777 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 778 | MultiChannelTransposeConvolution2dTest<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 779 | armnn::IWorkloadFactory& workloadFactory, |
| 780 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 781 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 782 | const armnn::DataLayout layout); |
| 783 | |
Sadik Armagan | 303980c | 2020-04-17 12:45:14 +0100 | [diff] [blame] | 784 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| 785 | MultiChannelTransposeConvolution2dTest<armnn::DataType::QAsymmS8, armnn::DataType::Signed32>( |
| 786 | armnn::IWorkloadFactory& workloadFactory, |
| 787 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 788 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Sadik Armagan | 303980c | 2020-04-17 12:45:14 +0100 | [diff] [blame] | 789 | const armnn::DataLayout layout); |
| 790 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 791 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| 792 | MultiChannelTransposeConvolution2dTest<armnn::DataType::QAsymmU8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 793 | armnn::IWorkloadFactory& workloadFactory, |
| 794 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 795 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 796 | const armnn::DataLayout layout); |
| 797 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 798 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4> |
| 799 | MultiChannelTransposeConvolution2dTest<armnn::DataType::QSymmS16, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 800 | armnn::IWorkloadFactory& workloadFactory, |
| 801 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Finn Williams | ec36d3e | 2020-08-28 13:17:05 +0100 | [diff] [blame] | 802 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 94d3b93 | 2019-11-11 12:54:47 +0000 | [diff] [blame] | 803 | const armnn::DataLayout layout); |