Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ReductionTestImpl.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> |
Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 11 | |
Colm Donelan | c42a987 | 2022-02-02 16:35:09 +0000 | [diff] [blame] | 12 | #include <armnnTestUtils/TensorHelpers.hpp> |
Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 13 | |
| 14 | #include <iostream> |
| 15 | |
| 16 | namespace |
| 17 | { |
| 18 | |
| 19 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 20 | LayerTestResult<float, 4> ReductionTestCommon( |
| 21 | armnn::IWorkloadFactory& workloadFactory, |
| 22 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 23 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 24 | const armnn::TensorInfo inputTensorInfo, |
| 25 | const armnn::TensorInfo outputTensorInfo, |
| 26 | const std::vector<float>& inputData, |
| 27 | const std::vector<float>& outputData, |
| 28 | const std::vector<int32_t> vAxis, |
| 29 | const armnn::ReduceOperation reduceOperation, |
| 30 | bool keepDims = false) |
| 31 | { |
| 32 | IgnoreUnused(memoryManager); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 33 | auto inputTensor = ConvertToDataType<ArmnnType>(inputData, inputTensorInfo); |
Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 34 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 35 | std::vector<float> actualOutput(outputTensorInfo.GetNumElements()); |
Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 36 | |
| 37 | std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); |
| 38 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
| 39 | |
| 40 | armnn::ReduceQueueDescriptor descriptor; |
| 41 | std::vector<uint32_t> updated_idx; |
| 42 | uint32_t resolvedAxis = 0; |
| 43 | for (uint32_t i = 0; i < vAxis.size(); ++i) |
| 44 | { |
| 45 | if (vAxis[i] < 0) |
| 46 | { |
| 47 | resolvedAxis = inputTensorInfo.GetNumDimensions() + static_cast<uint32_t>(vAxis[i]); |
| 48 | } else |
| 49 | { |
| 50 | resolvedAxis = static_cast<uint32_t>(vAxis[i]); |
| 51 | } |
| 52 | |
| 53 | updated_idx.push_back(resolvedAxis); |
| 54 | } |
| 55 | |
| 56 | descriptor.m_Parameters.m_vAxis = updated_idx; |
| 57 | descriptor.m_Parameters.m_ReduceOperation = reduceOperation; |
| 58 | descriptor.m_Parameters.m_KeepDims = keepDims; |
| 59 | armnn::WorkloadInfo info; |
| 60 | |
| 61 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 62 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 63 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 64 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Reduce, |
| 65 | descriptor, |
| 66 | info); |
Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 67 | |
| 68 | inputHandle->Allocate(); |
| 69 | outputHandle->Allocate(); |
| 70 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 71 | CopyDataToITensorHandle(inputHandle.get(), inputTensor.data()); |
Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 72 | |
| 73 | workload->Execute(); |
| 74 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 75 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 76 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 77 | return LayerTestResult<float, 4>(actualOutput, |
| 78 | outputData, |
| 79 | outputHandle->GetShape(), |
| 80 | outputTensorInfo.GetShape()); |
Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 81 | } |
| 82 | |
| 83 | } // namespace |
| 84 | |
| 85 | template<armnn::DataType ArmnnType, typename T> |
| 86 | LayerTestResult<float, 4> ReduceMaxSimpleTest( |
| 87 | armnn::IWorkloadFactory& workloadFactory, |
| 88 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 89 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 90 | { |
| 91 | const armnn::TensorShape inputShape{ 1, 1, 2, 3 }; |
| 92 | const armnn::TensorShape outputShape{ 1, 1, 1, 3}; |
| 93 | |
| 94 | armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 95 | |
| 96 | if (armnn::IsQuantizedType<T>()) |
| 97 | { |
| 98 | inputTensorInfo.SetQuantizationScale(1.0f); |
| 99 | inputTensorInfo.SetQuantizationOffset(0); |
| 100 | } |
| 101 | |
| 102 | armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 103 | |
| 104 | std::vector<float> inputValues |
| 105 | ({ |
| 106 | 1001.0f, 11.0f, 1003.0f, |
| 107 | 10.0f, 1002.0f, 12.0f |
| 108 | }); |
| 109 | std::vector<float> outputValues |
| 110 | ({ |
| 111 | 1001.0f, 1002.0f, 1003.0f |
| 112 | }); |
| 113 | |
| 114 | return ReductionTestCommon<ArmnnType>(workloadFactory, |
| 115 | memoryManager, |
| 116 | tensorHandleFactory, |
| 117 | inputTensorInfo, |
| 118 | outputTensorInfo, |
| 119 | inputValues, |
| 120 | outputValues, |
| 121 | { 2 }, |
| 122 | armnn::ReduceOperation::Max); |
| 123 | } |
| 124 | |
| 125 | template<armnn::DataType ArmnnType, typename T> |
| 126 | LayerTestResult<float, 4> ReduceMaxNegativeAxisTest( |
| 127 | armnn::IWorkloadFactory& workloadFactory, |
| 128 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 129 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 130 | { |
| 131 | const armnn::TensorShape inputShape{ 1, 1, 2, 3 }; |
| 132 | const armnn::TensorShape outputShape{ 1, 1, 2, 1}; |
| 133 | |
| 134 | armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 135 | |
| 136 | if (armnn::IsQuantizedType<T>()) |
| 137 | { |
| 138 | inputTensorInfo.SetQuantizationScale(1.0f); |
| 139 | inputTensorInfo.SetQuantizationOffset(0); |
| 140 | } |
| 141 | |
| 142 | armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 143 | |
| 144 | std::vector<float> inputValues |
| 145 | ({ |
| 146 | 1001.0f, 11.0f, 1003.0f, |
| 147 | 10.0f, 1002.0f, 12.0f |
| 148 | }); |
| 149 | std::vector<float> outputValues |
| 150 | ({ |
| 151 | 1003.0f, 1002.0f |
| 152 | }); |
| 153 | |
| 154 | return ReductionTestCommon<ArmnnType>(workloadFactory, |
| 155 | memoryManager, |
| 156 | tensorHandleFactory, |
| 157 | inputTensorInfo, |
| 158 | outputTensorInfo, |
| 159 | inputValues, |
| 160 | outputValues, |
| 161 | { -1 }, |
| 162 | armnn::ReduceOperation::Max, |
| 163 | true); |
| 164 | } |
| 165 | |
| 166 | template<armnn::DataType ArmnnType, typename T> |
| 167 | LayerTestResult<float, 4> ReduceMaxSimpleTest2( |
| 168 | armnn::IWorkloadFactory& workloadFactory, |
| 169 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 170 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 171 | { |
| 172 | const armnn::TensorShape inputShape{ 1, 1, 2, 3 }; |
| 173 | const armnn::TensorShape outputShape{ 1, 1, 2, 1 }; |
| 174 | |
| 175 | armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 176 | |
| 177 | if (armnn::IsQuantizedType<T>()) |
| 178 | { |
| 179 | inputTensorInfo.SetQuantizationScale(1.0f); |
| 180 | inputTensorInfo.SetQuantizationOffset(0); |
| 181 | } |
| 182 | |
| 183 | armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 184 | |
| 185 | std::vector<float> inputValues |
| 186 | ({ |
| 187 | 1.0f, 3.0f, 2.0f, |
| 188 | 6.0f, 4.0f, 5.0f |
| 189 | }); |
| 190 | |
| 191 | std::vector<float> outputValues |
| 192 | ({ |
| 193 | 3.0f, 6.0f |
| 194 | }); |
| 195 | |
| 196 | return ReductionTestCommon<ArmnnType>(workloadFactory, |
| 197 | memoryManager, |
| 198 | tensorHandleFactory, |
| 199 | inputTensorInfo, |
| 200 | outputTensorInfo, |
| 201 | inputValues, |
| 202 | outputValues, |
| 203 | { 3 }, |
| 204 | armnn::ReduceOperation::Max, |
| 205 | true); |
| 206 | } |
| 207 | |
| 208 | template<armnn::DataType ArmnnType, typename T> |
| 209 | LayerTestResult<float, 4> ReduceMinSimpleTest( |
| 210 | armnn::IWorkloadFactory& workloadFactory, |
| 211 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 212 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 213 | { |
| 214 | const armnn::TensorShape inputShape { 1, 1, 2, 3 }; |
| 215 | const armnn::TensorShape outputShape { 1, 1, 1, 3}; |
| 216 | |
| 217 | armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 218 | |
| 219 | if (armnn::IsQuantizedType<T>()) |
| 220 | { |
| 221 | inputTensorInfo.SetQuantizationScale(1.0f); |
| 222 | inputTensorInfo.SetQuantizationOffset(0); |
| 223 | } |
| 224 | |
| 225 | armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 226 | |
| 227 | std::vector<float> inputValues |
| 228 | ({ |
| 229 | 1001.0f, 11.0f, 1003.0f, |
| 230 | 10.0f, 1002.0f, 12.0f |
| 231 | }); |
| 232 | std::vector<float> outputValues |
| 233 | ({ |
| 234 | 10.0f, 11.0f, 12.0f |
| 235 | }); |
| 236 | |
| 237 | return ReductionTestCommon<ArmnnType>(workloadFactory, |
| 238 | memoryManager, |
| 239 | tensorHandleFactory, |
| 240 | inputTensorInfo, |
| 241 | outputTensorInfo, |
| 242 | inputValues, |
| 243 | outputValues, |
| 244 | { 2 }, |
| 245 | armnn::ReduceOperation::Min); |
| 246 | } |
| 247 | |
| 248 | template<armnn::DataType ArmnnType, typename T> |
| 249 | LayerTestResult<float, 4> ReduceMinNegativeAxisTest( |
| 250 | armnn::IWorkloadFactory& workloadFactory, |
| 251 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 252 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 253 | { |
| 254 | const armnn::TensorShape inputShape{ 1, 1, 2, 3 }; |
| 255 | const armnn::TensorShape outputShape{ 1, 1, 2, 1}; |
| 256 | |
| 257 | armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 258 | |
| 259 | if (armnn::IsQuantizedType<T>()) |
| 260 | { |
| 261 | inputTensorInfo.SetQuantizationScale(1.0f); |
| 262 | inputTensorInfo.SetQuantizationOffset(0); |
| 263 | } |
| 264 | |
| 265 | armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 266 | |
| 267 | std::vector<float> inputValues |
| 268 | ({ |
| 269 | 1001.0f, 11.0f, 1003.0f, |
| 270 | 10.0f, 1002.0f, 12.0f |
| 271 | }); |
| 272 | std::vector<float> outputValues |
| 273 | ({ |
| 274 | 11.0f, 10.0f |
| 275 | }); |
| 276 | |
| 277 | return ReductionTestCommon<ArmnnType>(workloadFactory, |
| 278 | memoryManager, |
| 279 | tensorHandleFactory, |
| 280 | inputTensorInfo, |
| 281 | outputTensorInfo, |
| 282 | inputValues, |
| 283 | outputValues, |
| 284 | { -1 }, |
| 285 | armnn::ReduceOperation::Min, |
| 286 | true); |
| 287 | } |
| 288 | |
| 289 | // Explicit template specializations |
| 290 | template LayerTestResult<float, 4> |
| 291 | ReduceMaxSimpleTest<armnn::DataType::Float32>( |
| 292 | armnn::IWorkloadFactory& workloadFactory, |
| 293 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 294 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 295 | |
| 296 | template LayerTestResult<float, 4> |
| 297 | ReduceMaxNegativeAxisTest<armnn::DataType::Float32>( |
| 298 | armnn::IWorkloadFactory& workloadFactory, |
| 299 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 300 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 301 | |
| 302 | template LayerTestResult<float, 4> |
| 303 | ReduceMaxSimpleTest2<armnn::DataType::Float32>( |
| 304 | armnn::IWorkloadFactory& workloadFactory, |
| 305 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 306 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 307 | |
| 308 | template LayerTestResult<float, 4> |
| 309 | ReduceMinSimpleTest<armnn::DataType::Float32>( |
| 310 | armnn::IWorkloadFactory& workloadFactory, |
| 311 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 312 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 313 | |
| 314 | template LayerTestResult<float, 4> |
| 315 | ReduceMinNegativeAxisTest<armnn::DataType::Float32>( |
| 316 | armnn::IWorkloadFactory& workloadFactory, |
| 317 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 318 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 319 | |