Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "SpaceToBatchNdTestImpl.hpp" |
| 7 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 8 | #include <QuantizeHelper.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 9 | #include <ResolveType.hpp> |
| 10 | |
| 11 | #include <armnn/ArmNN.hpp> |
| 12 | |
Matteo Martincigh | e011d20 | 2019-11-28 11:35:47 +0000 | [diff] [blame] | 13 | #include <armnnUtils/Permute.hpp> |
| 14 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 15 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 16 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 17 | |
| 18 | #include <test/TensorHelpers.hpp> |
| 19 | |
| 20 | namespace |
| 21 | { |
| 22 | |
| 23 | template<typename T> |
| 24 | LayerTestResult<T, 4> SpaceToBatchNdTestImpl( |
| 25 | armnn::IWorkloadFactory& workloadFactory, |
| 26 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 27 | armnn::TensorInfo& inputTensorInfo, |
| 28 | armnn::TensorInfo& outputTensorInfo, |
| 29 | std::vector<float>& inputData, |
| 30 | std::vector<float>& outputExpectedData, |
| 31 | armnn::SpaceToBatchNdQueueDescriptor descriptor, |
| 32 | const float qScale = 1.0f, |
| 33 | const int32_t qOffset = 0) |
| 34 | { |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame^] | 35 | boost::ignore_unused(memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 36 | const armnn::PermutationVector NCHWToNHWC = {0, 3, 1, 2}; |
| 37 | if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NHWC) |
| 38 | { |
| 39 | inputTensorInfo = armnnUtils::Permuted(inputTensorInfo, NCHWToNHWC); |
| 40 | outputTensorInfo = armnnUtils::Permuted(outputTensorInfo, NCHWToNHWC); |
| 41 | |
| 42 | std::vector<float> inputTmp(inputData.size()); |
| 43 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, |
| 44 | inputData.data(), inputTmp.data(), sizeof(float)); |
| 45 | inputData = inputTmp; |
| 46 | |
| 47 | std::vector<float> outputTmp(outputExpectedData.size()); |
| 48 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, |
| 49 | outputExpectedData.data(), outputTmp.data(), sizeof(float)); |
| 50 | outputExpectedData = outputTmp; |
| 51 | } |
| 52 | |
| 53 | if(armnn::IsQuantizedType<T>()) |
| 54 | { |
| 55 | inputTensorInfo.SetQuantizationScale(qScale); |
| 56 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 57 | outputTensorInfo.SetQuantizationScale(qScale); |
| 58 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 59 | } |
| 60 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 61 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputTensorInfo, |
| 62 | armnnUtils::QuantizedVector<T>(inputData, qScale, qOffset)); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 63 | |
| 64 | LayerTestResult<T, 4> ret(outputTensorInfo); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 65 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
| 66 | armnnUtils::QuantizedVector<T>(outputExpectedData, qScale, qOffset)); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 67 | |
| 68 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 69 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 70 | |
| 71 | armnn::WorkloadInfo info; |
| 72 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 73 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 74 | |
| 75 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSpaceToBatchNd(descriptor, info); |
| 76 | |
| 77 | inputHandle->Allocate(); |
| 78 | outputHandle->Allocate(); |
| 79 | |
| 80 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 81 | |
| 82 | workload->Execute(); |
| 83 | |
| 84 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 85 | |
| 86 | return ret; |
| 87 | } |
| 88 | |
| 89 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 90 | LayerTestResult<T, 4> SpaceToBatchNdSimpleTest( |
| 91 | armnn::IWorkloadFactory& workloadFactory, |
| 92 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 93 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
| 94 | { |
| 95 | armnn::TensorInfo inputTensorInfo; |
| 96 | armnn::TensorInfo outputTensorInfo; |
| 97 | |
| 98 | unsigned int inputShape[] = {1, 1, 2, 2}; |
| 99 | unsigned int outputShape[] = {4, 1, 1, 1}; |
| 100 | |
| 101 | armnn::SpaceToBatchNdQueueDescriptor desc; |
| 102 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 103 | desc.m_Parameters.m_BlockShape = {2, 2}; |
| 104 | desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; |
| 105 | |
| 106 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 107 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| 108 | |
| 109 | std::vector<float> input = std::vector<float>( |
| 110 | { |
| 111 | 1.0f, 2.0f, 3.0f, 4.0f |
| 112 | }); |
| 113 | |
| 114 | std::vector<float> outputExpected = std::vector<float>( |
| 115 | { |
| 116 | 1.0f, 2.0f, 3.0f, 4.0f |
| 117 | }); |
| 118 | |
| 119 | return SpaceToBatchNdTestImpl<T>( |
| 120 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 121 | } |
| 122 | |
| 123 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 124 | LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsTest( |
| 125 | armnn::IWorkloadFactory& workloadFactory, |
| 126 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 127 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
| 128 | { |
| 129 | armnn::TensorInfo inputTensorInfo; |
| 130 | armnn::TensorInfo outputTensorInfo; |
| 131 | |
| 132 | unsigned int inputShape[] = {1, 3, 2, 2}; |
| 133 | unsigned int outputShape[] = {4, 3, 1, 1}; |
| 134 | |
| 135 | armnn::SpaceToBatchNdQueueDescriptor desc; |
| 136 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 137 | desc.m_Parameters.m_BlockShape = {2, 2}; |
| 138 | desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; |
| 139 | |
| 140 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 141 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| 142 | |
| 143 | std::vector<float> input = std::vector<float>( |
| 144 | { |
| 145 | 1.0f, 4.0f, 7.0f, 10.0f, |
| 146 | 2.0f, 5.0, 8.0, 11.0f, |
| 147 | 3.0f, 6.0f, 9.0f, 12.0f |
| 148 | }); |
| 149 | |
| 150 | std::vector<float> outputExpected = std::vector<float>( |
| 151 | { |
| 152 | 1.0f, 2.0f, 3.0f, |
| 153 | 4.0f, 5.0f, 6.0f, |
| 154 | 7.0f, 8.0f, 9.0f, |
| 155 | 10.0f, 11.0f, 12.0f |
| 156 | }); |
| 157 | |
| 158 | return SpaceToBatchNdTestImpl<T>( |
| 159 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 160 | } |
| 161 | |
| 162 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 163 | LayerTestResult<T, 4> SpaceToBatchNdMultiBlockTest( |
| 164 | armnn::IWorkloadFactory& workloadFactory, |
| 165 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 166 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
| 167 | { |
| 168 | armnn::TensorInfo inputTensorInfo; |
| 169 | armnn::TensorInfo outputTensorInfo; |
| 170 | |
| 171 | unsigned int inputShape[] = {1, 1, 4, 4}; |
| 172 | unsigned int outputShape[] = {4, 1, 2, 2}; |
| 173 | |
| 174 | armnn::SpaceToBatchNdQueueDescriptor desc; |
| 175 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 176 | desc.m_Parameters.m_BlockShape = {2, 2}; |
| 177 | desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; |
| 178 | |
| 179 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 180 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| 181 | |
| 182 | std::vector<float> input = std::vector<float>( |
| 183 | { |
| 184 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 185 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 186 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 187 | 13.0f, 14.0f, 15.0f, 16.0f |
| 188 | }); |
| 189 | |
| 190 | std::vector<float> outputExpected = std::vector<float>( |
| 191 | { |
| 192 | 1.0f, 3.0f, 9.0f, 11.0f, |
| 193 | 2.0f, 4.0f, 10.0f, 12.0f, |
| 194 | 5.0f, 7.0f, 13.0f, 15.0f, |
| 195 | 6.0f, 8.0f, 14.0f, 16.0f |
| 196 | }); |
| 197 | |
| 198 | return SpaceToBatchNdTestImpl<T>( |
| 199 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 200 | } |
| 201 | |
| 202 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 203 | LayerTestResult<T, 4> SpaceToBatchNdPaddingTest( |
| 204 | armnn::IWorkloadFactory& workloadFactory, |
| 205 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 206 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
| 207 | { |
| 208 | armnn::TensorInfo inputTensorInfo; |
| 209 | armnn::TensorInfo outputTensorInfo; |
| 210 | |
| 211 | unsigned int inputShape[] = {2, 1, 2, 4}; |
| 212 | unsigned int outputShape[] = {8, 1, 1, 3}; |
| 213 | |
| 214 | armnn::SpaceToBatchNdQueueDescriptor desc; |
| 215 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 216 | desc.m_Parameters.m_BlockShape = {2, 2}; |
| 217 | desc.m_Parameters.m_PadList = {{0, 0}, {2, 0}}; |
| 218 | |
| 219 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 220 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| 221 | |
| 222 | std::vector<float> input = std::vector<float>( |
| 223 | { |
| 224 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 225 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 226 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 227 | 13.0f, 14.0f, 15.0f, 16.0f |
| 228 | }); |
| 229 | |
| 230 | std::vector<float> outputExpected = std::vector<float>( |
| 231 | { |
| 232 | 0.0f, 1.0f, 3.0f, |
| 233 | 0.0f, 9.0f, 11.0f, |
| 234 | 0.0f, 2.0f, 4.0f, |
| 235 | 0.0f, 10.0f, 12.0f, |
| 236 | 0.0f, 5.0f, 7.0f, |
| 237 | 0.0f, 13.0f, 15.0f, |
| 238 | 0.0f, 6.0f, 8.0f, |
| 239 | 0.0f, 14.0f, 16.0f |
| 240 | }); |
| 241 | |
| 242 | return SpaceToBatchNdTestImpl<T>( |
| 243 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 244 | } |
| 245 | |
| 246 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 247 | LayerTestResult<T, 4> SpaceToBatchNdSimpleNhwcTest( |
| 248 | armnn::IWorkloadFactory& workloadFactory, |
| 249 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 250 | { |
| 251 | return SpaceToBatchNdSimpleTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); |
| 252 | } |
| 253 | |
| 254 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 255 | LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsNhwcTest( |
| 256 | armnn::IWorkloadFactory& workloadFactory, |
| 257 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 258 | { |
| 259 | return SpaceToBatchNdMultiChannelsTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); |
| 260 | } |
| 261 | |
| 262 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 263 | LayerTestResult<T, 4> SpaceToBatchNdMultiBlockNhwcTest( |
| 264 | armnn::IWorkloadFactory& workloadFactory, |
| 265 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 266 | { |
| 267 | return SpaceToBatchNdMultiBlockTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); |
| 268 | } |
| 269 | |
| 270 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 271 | LayerTestResult<T, 4> SpaceToBatchNdPaddingNhwcTest( |
| 272 | armnn::IWorkloadFactory& workloadFactory, |
| 273 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 274 | { |
| 275 | return SpaceToBatchNdPaddingTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); |
| 276 | } |
| 277 | |
| 278 | } // anonymous namespace |
| 279 | |
| 280 | LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test( |
| 281 | armnn::IWorkloadFactory& workloadFactory, |
| 282 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 283 | { |
| 284 | return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 285 | } |
| 286 | |
| 287 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test( |
| 288 | armnn::IWorkloadFactory& workloadFactory, |
| 289 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 290 | { |
| 291 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 292 | } |
| 293 | |
| 294 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test( |
| 295 | armnn::IWorkloadFactory& workloadFactory, |
| 296 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 297 | { |
| 298 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 299 | } |
| 300 | |
| 301 | LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test( |
| 302 | armnn::IWorkloadFactory& workloadFactory, |
| 303 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 304 | { |
| 305 | return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 306 | } |
| 307 | |
Matthew Jackson | 9bff144 | 2019-09-12 09:08:23 +0100 | [diff] [blame] | 308 | LayerTestResult<armnn::Half, 4> SpaceToBatchNdSimpleFloat16Test( |
| 309 | armnn::IWorkloadFactory& workloadFactory, |
| 310 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 311 | { |
| 312 | return SpaceToBatchNdSimpleTest<armnn::DataType::Float16>(workloadFactory, memoryManager); |
| 313 | } |
| 314 | |
| 315 | LayerTestResult<armnn::Half, 4> SpaceToBatchNdMultiChannelsFloat16Test( |
| 316 | armnn::IWorkloadFactory& workloadFactory, |
| 317 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 318 | { |
| 319 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float16>(workloadFactory, memoryManager); |
| 320 | } |
| 321 | |
| 322 | LayerTestResult<armnn::Half, 4> SpaceToBatchNdMultiBlockFloat16Test( |
| 323 | armnn::IWorkloadFactory& workloadFactory, |
| 324 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 325 | { |
| 326 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float16>(workloadFactory, memoryManager); |
| 327 | } |
| 328 | |
| 329 | LayerTestResult<armnn::Half, 4> SpaceToBatchNdPaddingFloat16Test( |
| 330 | armnn::IWorkloadFactory& workloadFactory, |
| 331 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 332 | { |
| 333 | return SpaceToBatchNdPaddingTest<armnn::DataType::Float16>(workloadFactory, memoryManager); |
| 334 | } |
| 335 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 336 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test( |
| 337 | armnn::IWorkloadFactory& workloadFactory, |
| 338 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 339 | { |
| 340 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 341 | } |
| 342 | |
| 343 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test( |
| 344 | armnn::IWorkloadFactory& workloadFactory, |
| 345 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 346 | { |
| 347 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 348 | } |
| 349 | |
| 350 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test( |
| 351 | armnn::IWorkloadFactory& workloadFactory, |
| 352 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 353 | { |
| 354 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 355 | } |
| 356 | |
| 357 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test( |
| 358 | armnn::IWorkloadFactory& workloadFactory, |
| 359 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 360 | { |
| 361 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 362 | } |
| 363 | |
| 364 | LayerTestResult<float, 4> SpaceToBatchNdSimpleNhwcFloat32Test( |
| 365 | armnn::IWorkloadFactory& workloadFactory, |
| 366 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 367 | { |
| 368 | return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 369 | } |
| 370 | |
| 371 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNhwcFloat32Test( |
| 372 | armnn::IWorkloadFactory& workloadFactory, |
| 373 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 374 | { |
| 375 | return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 376 | } |
| 377 | |
| 378 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNhwcFloat32Test( |
| 379 | armnn::IWorkloadFactory& workloadFactory, |
| 380 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 381 | { |
| 382 | return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 383 | } |
| 384 | |
| 385 | LayerTestResult<float, 4> SpaceToBatchNdPaddingNhwcFloat32Test( |
| 386 | armnn::IWorkloadFactory& workloadFactory, |
| 387 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 388 | { |
| 389 | return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 390 | } |
| 391 | |
Matthew Jackson | 9bff144 | 2019-09-12 09:08:23 +0100 | [diff] [blame] | 392 | LayerTestResult<armnn::Half, 4> SpaceToBatchNdSimpleNhwcFloat16Test( |
| 393 | armnn::IWorkloadFactory& workloadFactory, |
| 394 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 395 | { |
| 396 | return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::Float16>(workloadFactory, memoryManager); |
| 397 | } |
| 398 | |
| 399 | LayerTestResult<armnn::Half, 4> SpaceToBatchNdMultiChannelsNhwcFloat16Test( |
| 400 | armnn::IWorkloadFactory& workloadFactory, |
| 401 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 402 | { |
| 403 | return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::Float16>(workloadFactory, memoryManager); |
| 404 | } |
| 405 | |
| 406 | LayerTestResult<armnn::Half, 4> SpaceToBatchNdMultiBlockNhwcFloat16Test( |
| 407 | armnn::IWorkloadFactory& workloadFactory, |
| 408 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 409 | { |
| 410 | return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::Float16>(workloadFactory, memoryManager); |
| 411 | } |
| 412 | |
| 413 | LayerTestResult<armnn::Half, 4> SpaceToBatchNdPaddingNhwcFloat16Test( |
| 414 | armnn::IWorkloadFactory& workloadFactory, |
| 415 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 416 | { |
| 417 | return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::Float16>(workloadFactory, memoryManager); |
| 418 | } |
| 419 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 420 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNhwcUint8Test( |
| 421 | armnn::IWorkloadFactory& workloadFactory, |
| 422 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 423 | { |
| 424 | return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 425 | } |
| 426 | |
| 427 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNhwcUint8Test( |
| 428 | armnn::IWorkloadFactory& workloadFactory, |
| 429 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 430 | { |
| 431 | return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 432 | } |
| 433 | |
| 434 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNhwcUint8Test( |
| 435 | armnn::IWorkloadFactory& workloadFactory, |
| 436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 437 | { |
| 438 | return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 439 | } |
| 440 | |
| 441 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNhwcUint8Test( |
| 442 | armnn::IWorkloadFactory& workloadFactory, |
| 443 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 444 | { |
| 445 | return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 446 | } |
| 447 | |
| 448 | LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleUint16Test( |
| 449 | armnn::IWorkloadFactory& workloadFactory, |
| 450 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 451 | { |
| 452 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 453 | } |
| 454 | |
| 455 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsUint16Test( |
| 456 | armnn::IWorkloadFactory& workloadFactory, |
| 457 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 458 | { |
| 459 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 460 | } |
| 461 | |
| 462 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockUint16Test( |
| 463 | armnn::IWorkloadFactory& workloadFactory, |
| 464 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 465 | { |
| 466 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 467 | } |
| 468 | |
| 469 | LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingUint16Test( |
| 470 | armnn::IWorkloadFactory& workloadFactory, |
| 471 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 472 | { |
| 473 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 474 | } |
| 475 | |
| 476 | LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleNhwcUint16Test( |
| 477 | armnn::IWorkloadFactory& workloadFactory, |
| 478 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 479 | { |
| 480 | return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 481 | } |
| 482 | |
| 483 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsNhwcUint16Test( |
| 484 | armnn::IWorkloadFactory& workloadFactory, |
| 485 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 486 | { |
| 487 | return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 488 | } |
| 489 | |
| 490 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockNhwcUint16Test( |
| 491 | armnn::IWorkloadFactory& workloadFactory, |
| 492 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 493 | { |
| 494 | return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 495 | } |
| 496 | |
| 497 | LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingNhwcUint16Test( |
| 498 | armnn::IWorkloadFactory& workloadFactory, |
| 499 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 500 | { |
| 501 | return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 502 | } |