Aron Virginas-Tar | 73f6642 | 2019-09-23 19:11:59 +0100 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2019 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "DepthToSpaceTestImpl.hpp" |
| 7 | |
| 8 | #include <Permute.hpp> |
| 9 | |
| 10 | #include <armnn/ArmNN.hpp> |
| 11 | |
| 12 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 13 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 14 | |
| 15 | #include <test/TensorHelpers.hpp> |
| 16 | |
| 17 | namespace |
| 18 | { |
| 19 | |
| 20 | template<typename T> |
| 21 | LayerTestResult<T, 4> DepthToSpaceTestImpl( |
| 22 | armnn::IWorkloadFactory& workloadFactory, |
| 23 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 24 | armnn::TensorInfo& inputInfo, |
| 25 | armnn::TensorInfo& outputInfo, |
| 26 | std::vector<float>& inputData, |
| 27 | std::vector<float>& expectedOutputData, |
| 28 | armnn::DepthToSpaceQueueDescriptor descriptor, |
| 29 | const float qScale = 1.0f, |
| 30 | const int32_t qOffset = 0) |
| 31 | { |
| 32 | const armnn::PermutationVector permVector{0, 2, 3, 1}; |
| 33 | |
| 34 | if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NCHW) |
| 35 | { |
| 36 | inputInfo = armnnUtils::Permuted(inputInfo, permVector); |
| 37 | outputInfo = armnnUtils::Permuted(outputInfo, permVector); |
| 38 | |
| 39 | constexpr size_t typeSize = sizeof(float); |
| 40 | |
| 41 | std::vector<float> inputTmp(inputData.size()); |
| 42 | armnnUtils::Permute(inputInfo.GetShape(), permVector, inputData.data(), inputTmp.data(), typeSize); |
| 43 | inputData = inputTmp; |
| 44 | |
| 45 | std::vector<float> outputTmp(expectedOutputData.size()); |
| 46 | armnnUtils::Permute(outputInfo.GetShape(), permVector, expectedOutputData.data(), outputTmp.data(), typeSize); |
| 47 | expectedOutputData = outputTmp; |
| 48 | } |
| 49 | |
| 50 | if(armnn::IsQuantizedType<T>()) |
| 51 | { |
| 52 | inputInfo.SetQuantizationScale(qScale); |
| 53 | inputInfo.SetQuantizationOffset(qOffset); |
| 54 | outputInfo.SetQuantizationScale(qScale); |
| 55 | outputInfo.SetQuantizationOffset(qOffset); |
| 56 | } |
| 57 | |
| 58 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputInfo, QuantizedVector<T>(qScale, qOffset, inputData)); |
| 59 | |
| 60 | LayerTestResult<T, 4> result(outputInfo); |
| 61 | result.outputExpected = MakeTensor<T, 4>(outputInfo, QuantizedVector<T>(qScale, qOffset, expectedOutputData)); |
| 62 | |
| 63 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputInfo); |
| 64 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo); |
| 65 | |
| 66 | armnn::WorkloadInfo info; |
| 67 | AddInputToWorkload(descriptor, info, inputInfo, inputHandle.get()); |
| 68 | AddOutputToWorkload(descriptor, info, outputInfo, outputHandle.get()); |
| 69 | |
| 70 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDepthToSpace(descriptor, info); |
| 71 | |
| 72 | inputHandle->Allocate(); |
| 73 | outputHandle->Allocate(); |
| 74 | |
| 75 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 76 | |
| 77 | workload->Execute(); |
| 78 | |
| 79 | CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); |
| 80 | return result; |
| 81 | } |
| 82 | |
| 83 | } // anonymous namespace |
| 84 | |
| 85 | template<armnn::DataType ArmnnType, typename T> |
| 86 | LayerTestResult<T, 4> DepthToSpaceTest1( |
| 87 | armnn::IWorkloadFactory& workloadFactory, |
| 88 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 89 | armnn::DataLayout dataLayout) |
| 90 | { |
| 91 | unsigned int inputShape[] = { 1, 1, 1, 8 }; |
| 92 | unsigned int outputShape[] = { 1, 2, 2, 2 }; |
| 93 | |
| 94 | // in: |
| 95 | // [[[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]]]] |
| 96 | // |
| 97 | // out: |
| 98 | // [[[[1, 2, 3], [4, 5, 6]], |
| 99 | // [[7, 8, 9], [10, 11, 12]]]] |
| 100 | |
| 101 | std::vector<float> input = { 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f }; |
| 102 | std::vector<float> expectedOutput = input; |
| 103 | |
| 104 | armnn::DepthToSpaceQueueDescriptor desc; |
| 105 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 106 | desc.m_Parameters.m_BlockSize = 2; |
| 107 | |
| 108 | armnn::TensorInfo inputInfo(4, inputShape, ArmnnType); |
| 109 | armnn::TensorInfo outputInfo(4, outputShape, ArmnnType); |
| 110 | |
| 111 | return DepthToSpaceTestImpl<T>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| 112 | } |
| 113 | |
| 114 | template<armnn::DataType ArmnnType, typename T> |
| 115 | LayerTestResult<T, 4> DepthToSpaceTest2( |
| 116 | armnn::IWorkloadFactory& workloadFactory, |
| 117 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 118 | armnn::DataLayout dataLayout) |
| 119 | { |
| 120 | unsigned int inputShape[] = { 1, 2, 2, 4 }; |
| 121 | unsigned int outputShape[] = { 1, 4, 4, 1 }; |
| 122 | |
| 123 | // in: |
| 124 | // [[[[1, 2, 3, 4], |
| 125 | // [5, 6, 7, 8]], |
| 126 | // [[9, 10, 11, 12], |
| 127 | // [13, 14, 15, 16]]]] |
| 128 | // |
| 129 | // out: |
| 130 | // [[[ [1], [2], [5], [6]], |
| 131 | // [ [3], [4], [7], [8]], |
| 132 | // [ [9], [10], [13], [14]], |
| 133 | // [ [11], [12], [15], [16]]]] |
| 134 | |
| 135 | std::vector<float> input = |
| 136 | { |
| 137 | 1.f, 2.f, 3.f, 4.f, |
| 138 | |
| 139 | 5.f, 6.f, 7.f, 8.f, |
| 140 | |
| 141 | 9.f, 10.f, 11.f, 12.f, |
| 142 | |
| 143 | 13.f, 14.f, 15.f, 16.f |
| 144 | }; |
| 145 | |
| 146 | std::vector<float> expectedOutput |
| 147 | { |
| 148 | 1.f, 2.f, 5.f, 6.f, |
| 149 | 3.f, 4.f, 7.f, 8.f, |
| 150 | 9.f, 10.f, 13.f, 14.f, |
| 151 | 11.f, 12.f, 15.f, 16.f |
| 152 | }; |
| 153 | |
| 154 | armnn::DepthToSpaceQueueDescriptor desc; |
| 155 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 156 | desc.m_Parameters.m_BlockSize = 2; |
| 157 | |
| 158 | armnn::TensorInfo inputInfo(4, inputShape, ArmnnType); |
| 159 | armnn::TensorInfo outputInfo(4, outputShape, ArmnnType); |
| 160 | |
| 161 | return DepthToSpaceTestImpl<T>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| 162 | } |
| 163 | |
| 164 | template<armnn::DataType ArmnnType, typename T> |
| 165 | LayerTestResult<T, 4> DepthToSpaceTest3( |
| 166 | armnn::IWorkloadFactory& workloadFactory, |
| 167 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 168 | armnn::DataLayout dataLayout) |
| 169 | { |
| 170 | unsigned int inputShape[] = { 2, 1, 1, 4 }; |
| 171 | unsigned int outputShape[] = { 2, 2, 2, 1 }; |
| 172 | |
| 173 | std::vector<float> input = |
| 174 | { |
| 175 | 1.f, 2.f, 3.f, 4.f, // batch 0 |
| 176 | 5.f, 6.f, 7.f, 8.f // batch 1 |
| 177 | }; |
| 178 | |
| 179 | std::vector<float> expectedOutput = input; |
| 180 | |
| 181 | armnn::DepthToSpaceQueueDescriptor desc; |
| 182 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 183 | desc.m_Parameters.m_BlockSize = 2; |
| 184 | |
| 185 | armnn::TensorInfo inputInfo(4, inputShape, ArmnnType); |
| 186 | armnn::TensorInfo outputInfo(4, outputShape, ArmnnType); |
| 187 | |
| 188 | return DepthToSpaceTestImpl<T>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| 189 | } |
| 190 | |
| 191 | template<armnn::DataType ArmnnType, typename T> |
| 192 | LayerTestResult<T, 4> DepthToSpaceTest4( |
| 193 | armnn::IWorkloadFactory& workloadFactory, |
| 194 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 195 | armnn::DataLayout dataLayout) |
| 196 | { |
| 197 | unsigned int inputShape[] = { 2, 2, 2, 4 }; |
| 198 | unsigned int outputShape[] = { 2, 4, 4, 1 }; |
| 199 | |
| 200 | std::vector<float> input = |
| 201 | { |
| 202 | 1.f, 2.f, 3.f, 4.f, |
| 203 | |
| 204 | 5.f, 6.f, 7.f, 8.f, |
| 205 | |
| 206 | 9.f, 10.f, 11.f, 12.f, |
| 207 | |
| 208 | 13.f, 14.f, 15.f, 16.f, |
| 209 | |
| 210 | |
| 211 | 17.f, 18.f, 19.f, 20.f, |
| 212 | |
| 213 | 21.f, 22.f, 23.f, 24.f, |
| 214 | |
| 215 | 25.f, 26.f, 27.f, 28.f, |
| 216 | |
| 217 | 29.f, 30.f, 31.f, 32.f |
| 218 | }; |
| 219 | |
| 220 | std::vector<float> expectedOutput |
| 221 | { |
| 222 | 1.f, 2.f, 5.f, 6.f, |
| 223 | 3.f, 4.f, 7.f, 8.f, |
| 224 | 9.f, 10.f, 13.f, 14.f, |
| 225 | 11.f, 12.f, 15.f, 16.f, |
| 226 | |
| 227 | |
| 228 | 17.f, 18.f, 21.f, 22.f, |
| 229 | 19.f, 20.f, 23.f, 24.f, |
| 230 | 25.f, 26.f, 29.f, 30.f, |
| 231 | 27.f, 28.f, 31.f, 32.f |
| 232 | }; |
| 233 | |
| 234 | armnn::DepthToSpaceQueueDescriptor desc; |
| 235 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 236 | desc.m_Parameters.m_BlockSize = 2; |
| 237 | |
| 238 | armnn::TensorInfo inputInfo(4, inputShape, ArmnnType); |
| 239 | armnn::TensorInfo outputInfo(4, outputShape, ArmnnType); |
| 240 | |
| 241 | return DepthToSpaceTestImpl<T>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| 242 | } |
| 243 | |
| 244 | // Float32 |
| 245 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 246 | DepthToSpaceTest1<armnn::DataType::Float32>( |
| 247 | armnn::IWorkloadFactory& workloadFactory, |
| 248 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 249 | armnn::DataLayout dataLayout); |
| 250 | |
| 251 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 252 | DepthToSpaceTest2<armnn::DataType::Float32>( |
| 253 | armnn::IWorkloadFactory& workloadFactory, |
| 254 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 255 | armnn::DataLayout dataLayout); |
| 256 | |
| 257 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 258 | DepthToSpaceTest3<armnn::DataType::Float32>( |
| 259 | armnn::IWorkloadFactory& workloadFactory, |
| 260 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 261 | armnn::DataLayout dataLayout); |
| 262 | |
| 263 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 264 | DepthToSpaceTest4<armnn::DataType::Float32>( |
| 265 | armnn::IWorkloadFactory& workloadFactory, |
| 266 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 267 | armnn::DataLayout dataLayout); |
| 268 | |
| 269 | // Float16 |
| 270 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| 271 | DepthToSpaceTest1<armnn::DataType::Float16>( |
| 272 | armnn::IWorkloadFactory& workloadFactory, |
| 273 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 274 | armnn::DataLayout dataLayout); |
| 275 | |
| 276 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| 277 | DepthToSpaceTest2<armnn::DataType::Float16>( |
| 278 | armnn::IWorkloadFactory& workloadFactory, |
| 279 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 280 | armnn::DataLayout dataLayout); |
| 281 | |
| 282 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| 283 | DepthToSpaceTest3<armnn::DataType::Float16>( |
| 284 | armnn::IWorkloadFactory& workloadFactory, |
| 285 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 286 | armnn::DataLayout dataLayout); |
| 287 | |
| 288 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| 289 | DepthToSpaceTest4<armnn::DataType::Float16>( |
| 290 | armnn::IWorkloadFactory& workloadFactory, |
| 291 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 292 | armnn::DataLayout dataLayout); |
| 293 | |
| 294 | // QuantisedAsymm8 |
| 295 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 296 | DepthToSpaceTest1<armnn::DataType::QuantisedAsymm8>( |
| 297 | armnn::IWorkloadFactory& workloadFactory, |
| 298 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 299 | armnn::DataLayout dataLayout); |
| 300 | |
| 301 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 302 | DepthToSpaceTest2<armnn::DataType::QuantisedAsymm8>( |
| 303 | armnn::IWorkloadFactory& workloadFactory, |
| 304 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 305 | armnn::DataLayout dataLayout); |
| 306 | |
| 307 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 308 | DepthToSpaceTest3<armnn::DataType::QuantisedAsymm8>( |
| 309 | armnn::IWorkloadFactory& workloadFactory, |
| 310 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 311 | armnn::DataLayout dataLayout); |
| 312 | |
| 313 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 314 | DepthToSpaceTest4<armnn::DataType::QuantisedAsymm8>( |
| 315 | armnn::IWorkloadFactory& workloadFactory, |
| 316 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 317 | armnn::DataLayout dataLayout); |
| 318 | |
| 319 | // QuantisedSymm16 |
| 320 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 321 | DepthToSpaceTest1<armnn::DataType::QuantisedSymm16>( |
| 322 | armnn::IWorkloadFactory& workloadFactory, |
| 323 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 324 | armnn::DataLayout dataLayout); |
| 325 | |
| 326 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 327 | DepthToSpaceTest2<armnn::DataType::QuantisedSymm16>( |
| 328 | armnn::IWorkloadFactory& workloadFactory, |
| 329 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 330 | armnn::DataLayout dataLayout); |
| 331 | |
| 332 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 333 | DepthToSpaceTest3<armnn::DataType::QuantisedSymm16>( |
| 334 | armnn::IWorkloadFactory& workloadFactory, |
| 335 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 336 | armnn::DataLayout dataLayout); |
| 337 | |
| 338 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 339 | DepthToSpaceTest4<armnn::DataType::QuantisedSymm16>( |
| 340 | armnn::IWorkloadFactory& workloadFactory, |
| 341 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 342 | armnn::DataLayout dataLayout); |