Simon Obute | 51f6777 | 2021-09-03 15:50:13 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ChannelShuffleTestImpl.hpp" |
| 7 | |
Sadik Armagan | a097d2a | 2021-11-24 15:47:28 +0000 | [diff] [blame] | 8 | #include <DataTypeUtils.hpp> |
| 9 | #include <armnnTestUtils/TensorCopyUtils.hpp> |
Colm Donelan | 0c47974 | 2021-12-10 12:43:54 +0000 | [diff] [blame] | 10 | #include <armnnTestUtils/WorkloadTestUtils.hpp> |
Simon Obute | 51f6777 | 2021-09-03 15:50:13 +0100 | [diff] [blame] | 11 | |
| 12 | namespace |
| 13 | { |
| 14 | |
| 15 | template<typename T, size_t NumDims> |
| 16 | LayerTestResult<T, NumDims> ChannelShuffleTestImpl( |
| 17 | armnn::IWorkloadFactory& workloadFactory, |
| 18 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 19 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 20 | armnn::ChannelShuffleDescriptor descriptor, |
| 21 | armnn::TensorInfo inputTensorInfo, |
| 22 | armnn::TensorInfo outputTensorInfo, |
| 23 | const std::vector<T>& inputData, |
| 24 | const std::vector<T>& outputExpectedData) |
| 25 | { |
| 26 | IgnoreUnused(memoryManager); |
| 27 | std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); |
| 28 | |
| 29 | std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); |
| 30 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
| 31 | |
| 32 | armnn::ChannelShuffleQueueDescriptor data; |
| 33 | data.m_Parameters = descriptor; |
| 34 | armnn::WorkloadInfo info; |
| 35 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 36 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 37 | |
| 38 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateChannelShuffle(data, info); |
| 39 | |
| 40 | inputHandle->Allocate(); |
| 41 | outputHandle->Allocate(); |
| 42 | |
| 43 | CopyDataToITensorHandle(inputHandle.get(), inputData.data()); |
| 44 | |
| 45 | workload->Execute(); |
| 46 | |
| 47 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
| 48 | |
| 49 | return LayerTestResult<T, NumDims>(actualOutput, |
| 50 | outputExpectedData, |
| 51 | outputHandle->GetShape(), |
| 52 | outputTensorInfo.GetShape()); |
| 53 | } |
| 54 | } // anonymous namespace |
| 55 | |
| 56 | template<armnn::DataType ArmnnType, typename T> |
| 57 | LayerTestResult<T, 4> SimpleChannelShuffleTest( |
| 58 | armnn::IWorkloadFactory& workloadFactory, |
| 59 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 60 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 61 | { |
| 62 | armnn::TensorInfo inputTensorInfo; |
| 63 | armnn::TensorInfo outputTensorInfo; |
| 64 | |
| 65 | unsigned int inputShape[] = { 1,9,1,1 }; |
| 66 | unsigned int outputShape[] = { 1,9,1,1 }; |
| 67 | |
| 68 | armnn::ChannelShuffleDescriptor descriptor; |
| 69 | descriptor.m_Axis = 1; |
| 70 | descriptor.m_NumGroups = 3; |
| 71 | |
| 72 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 73 | inputTensorInfo.SetQuantizationScale(1.0f); |
| 74 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| 75 | outputTensorInfo.SetQuantizationScale(1.0f); |
| 76 | |
| 77 | auto input = ConvertToDataType<ArmnnType>( |
| 78 | { |
| 79 | 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f |
| 80 | }, |
| 81 | inputTensorInfo); |
| 82 | auto outputExpected = ConvertToDataType<ArmnnType>( |
| 83 | { |
| 84 | 0.0f, 3.0f, 6.0f, 1.0f, 4.0f, 7.0f, 2.0f, 5.0f, 8.0f |
| 85 | }, |
| 86 | outputTensorInfo); |
| 87 | |
| 88 | return ChannelShuffleTestImpl<T, 4>( |
| 89 | workloadFactory, |
| 90 | memoryManager, |
| 91 | tensorHandleFactory, |
| 92 | descriptor, |
| 93 | inputTensorInfo, |
| 94 | outputTensorInfo, |
| 95 | input, |
| 96 | outputExpected); |
| 97 | } |
| 98 | |
| 99 | template<armnn::DataType ArmnnType, typename T> |
| 100 | LayerTestResult<T, 2> ChannelShuffle2DTest( |
| 101 | armnn::IWorkloadFactory& workloadFactory, |
| 102 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 103 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 104 | { |
| 105 | armnn::TensorInfo inputTensorInfo; |
| 106 | armnn::TensorInfo outputTensorInfo; |
| 107 | |
| 108 | unsigned int inputShape[] = { 3, 12 }; |
| 109 | unsigned int outputShape[] = { 3, 12 }; |
| 110 | |
| 111 | armnn::ChannelShuffleDescriptor descriptor; |
| 112 | descriptor.m_Axis = 1; |
| 113 | descriptor.m_NumGroups = 3; |
| 114 | |
| 115 | inputTensorInfo = armnn::TensorInfo(2, inputShape, ArmnnType); |
| 116 | inputTensorInfo.SetQuantizationScale(1.0f); |
| 117 | outputTensorInfo = armnn::TensorInfo(2, outputShape, ArmnnType); |
| 118 | outputTensorInfo.SetQuantizationScale(1.0f); |
| 119 | |
| 120 | auto input = ConvertToDataType<ArmnnType>( |
| 121 | { |
| 122 | 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, |
| 123 | 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, |
| 124 | 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 |
| 125 | }, |
| 126 | inputTensorInfo); |
| 127 | |
| 128 | auto outputExpected = ConvertToDataType<ArmnnType>( |
| 129 | { |
| 130 | 0, 4, 8, 1, 5, 9, 2, 6, 10, 3, 7, 11, |
| 131 | 12, 16, 20, 13, 17, 21, 14, 18, 22, 15, 19, 23, |
| 132 | 24, 28, 32, 25, 29, 33, 26, 30, 34, 27, 31, 35 |
| 133 | }, |
| 134 | outputTensorInfo); |
| 135 | |
| 136 | return ChannelShuffleTestImpl<T, 2>( |
| 137 | workloadFactory, |
| 138 | memoryManager, |
| 139 | tensorHandleFactory, |
| 140 | descriptor, |
| 141 | inputTensorInfo, |
| 142 | outputTensorInfo, |
| 143 | input, |
| 144 | outputExpected); |
| 145 | } |
| 146 | |
| 147 | template<armnn::DataType ArmnnType, typename T> |
| 148 | LayerTestResult<T, 4> ChannelShuffle4DTest( |
| 149 | armnn::IWorkloadFactory& workloadFactory, |
| 150 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 151 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 152 | { |
| 153 | armnn::TensorInfo inputTensorInfo; |
| 154 | armnn::TensorInfo outputTensorInfo; |
| 155 | |
| 156 | unsigned int inputShape[] = { 2, 9, 1, 2 }; |
| 157 | unsigned int outputShape[] = { 2, 9, 1, 2 }; |
| 158 | |
| 159 | armnn::ChannelShuffleDescriptor descriptor; |
| 160 | descriptor.m_Axis = 1; |
| 161 | descriptor.m_NumGroups = 3; |
| 162 | |
| 163 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 164 | inputTensorInfo.SetQuantizationScale(1.0f); |
| 165 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
| 166 | outputTensorInfo.SetQuantizationScale(1.0f); |
| 167 | |
| 168 | auto input = ConvertToDataType<ArmnnType>( |
| 169 | { |
| 170 | 0.0f, 1.0f, |
| 171 | 2.0f, 3.0f, |
| 172 | 4.0f, 5.0f, |
| 173 | |
| 174 | 6.0f, 7.0f, |
| 175 | 8.0f, 9.0f, |
| 176 | 10.0f, 11.0f, |
| 177 | |
| 178 | 12.0f, 13.0f, |
| 179 | 14.0f, 15.0f, |
| 180 | 16.0f, 17.0f, |
| 181 | |
| 182 | 18.0f, 19.0f, |
| 183 | 20.0f, 21.0f, |
| 184 | 22.0f, 23.0f, |
| 185 | |
| 186 | 24.0f, 25.0f, |
| 187 | 26.0f, 27.0f, |
| 188 | 28.0f, 29.0f, |
| 189 | |
| 190 | 30.0f, 31.0f, |
| 191 | 32.0f, 33.0f, |
| 192 | 34.0f, 35.0f |
| 193 | }, |
| 194 | inputTensorInfo); |
| 195 | |
| 196 | auto outputExpected = ConvertToDataType<ArmnnType>( |
| 197 | { |
| 198 | 0.0f, 1.0f, |
| 199 | 6.0f, 7.0f, |
| 200 | 12.0f, 13.0f, |
| 201 | 2.0f, 3.0f, |
| 202 | 8.0f, 9.0f, |
| 203 | 14.0f, 15.0f, |
| 204 | 4.0f, 5.0f, |
| 205 | 10.0f, 11.0f, |
| 206 | 16.0f, 17.0f, |
| 207 | |
| 208 | 18.0f, 19.0f, |
| 209 | 24.0f, 25.0f, |
| 210 | 30.0f, 31.0f, |
| 211 | 20.0f, 21.0f, |
| 212 | 26.0f, 27.0f, |
| 213 | 32.0f, 33.0f, |
| 214 | 22.0f, 23.0f, |
| 215 | 28.0f, 29.0f, |
| 216 | 34.0f, 35.0f |
| 217 | }, |
| 218 | outputTensorInfo); |
| 219 | |
| 220 | return ChannelShuffleTestImpl<T, 4>( |
| 221 | workloadFactory, |
| 222 | memoryManager, |
| 223 | tensorHandleFactory, |
| 224 | descriptor, |
| 225 | inputTensorInfo, |
| 226 | outputTensorInfo, |
| 227 | input, |
| 228 | outputExpected); |
| 229 | } |
| 230 | |
| 231 | // |
| 232 | // Explicit template specializations |
| 233 | // |
| 234 | |
| 235 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 236 | SimpleChannelShuffleTest<armnn::DataType::Float32>( |
| 237 | armnn::IWorkloadFactory& workloadFactory, |
| 238 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 239 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 240 | |
| 241 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| 242 | SimpleChannelShuffleTest<armnn::DataType::QAsymmU8>( |
| 243 | armnn::IWorkloadFactory& workloadFactory, |
| 244 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 245 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 246 | |
Teresa Charlin | eb852bb | 2021-09-30 12:44:33 +0100 | [diff] [blame] | 247 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| 248 | SimpleChannelShuffleTest<armnn::DataType::QAsymmS8>( |
| 249 | armnn::IWorkloadFactory& workloadFactory, |
| 250 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 251 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 252 | |
Simon Obute | 51f6777 | 2021-09-03 15:50:13 +0100 | [diff] [blame] | 253 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> |
| 254 | ChannelShuffle2DTest<armnn::DataType::Float32>( |
| 255 | armnn::IWorkloadFactory& workloadFactory, |
| 256 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 257 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 258 | |
| 259 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2> |
| 260 | ChannelShuffle2DTest<armnn::DataType::QAsymmU8>( |
| 261 | armnn::IWorkloadFactory& workloadFactory, |
| 262 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 263 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 264 | |
Teresa Charlin | eb852bb | 2021-09-30 12:44:33 +0100 | [diff] [blame] | 265 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2> |
| 266 | ChannelShuffle2DTest<armnn::DataType::QAsymmS8>( |
| 267 | armnn::IWorkloadFactory& workloadFactory, |
| 268 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 269 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 270 | |
Simon Obute | 51f6777 | 2021-09-03 15:50:13 +0100 | [diff] [blame] | 271 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 272 | ChannelShuffle4DTest<armnn::DataType::Float32>( |
| 273 | armnn::IWorkloadFactory& workloadFactory, |
| 274 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 275 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 276 | |
| 277 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| 278 | ChannelShuffle4DTest<armnn::DataType::QAsymmU8>( |
| 279 | armnn::IWorkloadFactory& workloadFactory, |
| 280 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Teresa Charlin | eb852bb | 2021-09-30 12:44:33 +0100 | [diff] [blame] | 281 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 282 | |
| 283 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| 284 | ChannelShuffle4DTest<armnn::DataType::QAsymmS8>( |
| 285 | armnn::IWorkloadFactory& workloadFactory, |
| 286 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 287 | const armnn::ITensorHandleFactory& tensorHandleFactory); |