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