Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 1 | // |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "AdditionTestImpl.hpp" |
| 7 | |
| 8 | #include "ElementwiseTestImpl.hpp" |
| 9 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 10 | #include <QuantizeHelper.hpp> |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 11 | #include <reference/test/RefWorkloadFactoryHelper.hpp> |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 12 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 13 | template<> |
| 14 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::AdditionQueueDescriptor>( |
| 15 | const armnn::IWorkloadFactory& workloadFactory, |
| 16 | const armnn::WorkloadInfo& info, |
| 17 | const armnn::AdditionQueueDescriptor& descriptor) |
| 18 | { |
| 19 | return workloadFactory.CreateAddition(descriptor, info); |
| 20 | } |
| 21 | |
| 22 | LayerTestResult<float,4> AdditionTest( |
| 23 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 24 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 25 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 26 | { |
| 27 | unsigned int batchSize = 2u; |
| 28 | unsigned int channels = 2u; |
| 29 | unsigned int height = 2u; |
| 30 | unsigned int width = 3u; |
| 31 | |
| 32 | unsigned int shape[] = { batchSize, channels, height, width }; |
| 33 | |
| 34 | std::vector<float> input1 = |
| 35 | { |
| 36 | 0.0f, 2.0f, 1.0f, |
| 37 | 0.2f, 1.0f, 2.0f, |
| 38 | |
| 39 | 1.0f, 2.0f, 1.0f, |
| 40 | 0.2f, 1.0f, 2.0f, |
| 41 | |
| 42 | 0.0f, 2.0f, 1.0f, |
| 43 | 4.2f, 1.0f, 2.0f, |
| 44 | |
| 45 | 0.0f, 0.0f, 1.0f, |
| 46 | 0.2f, 1.0f, 2.0f, |
| 47 | }; |
| 48 | |
| 49 | std::vector<float> input2 = |
| 50 | { |
| 51 | 1.0f, 2.0f, 1.0f, |
| 52 | 0.0f, 1.0f, 2.0f, |
| 53 | |
| 54 | 1.0f, 2.0f, -2.0f, |
| 55 | 0.2f, 1.0f, 2.0f, |
| 56 | |
| 57 | 0.0f, 2.0f, 1.0f, |
| 58 | 4.2f, 0.0f, -3.0f, |
| 59 | |
| 60 | 0.0f, 0.0f, 1.0f, |
| 61 | 0.7f, 1.0f, 5.0f, |
| 62 | }; |
| 63 | |
| 64 | |
| 65 | std::vector<float> output |
| 66 | { |
| 67 | 1.0f, 4.0f, 2.0f, |
| 68 | 0.2f, 2.0f, 4.0f, |
| 69 | |
| 70 | 2.0f, 4.0f, -1.0f, |
| 71 | 0.4f, 2.0f, 4.0f, |
| 72 | |
| 73 | 0.0f, 4.0f, 2.0f, |
| 74 | 8.4f, 1.0f, -1.0f, |
| 75 | |
| 76 | 0.0f, 0.0f, 2.0f, |
| 77 | 0.9f, 2.0f, 7.0f, |
| 78 | }; |
| 79 | |
| 80 | return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::Float32>( |
| 81 | workloadFactory, |
| 82 | memoryManager, |
| 83 | shape, |
| 84 | input1, |
| 85 | shape, |
| 86 | input2, |
| 87 | shape, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 88 | output, |
| 89 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 90 | } |
| 91 | |
| 92 | LayerTestResult<float, 5> Addition5dTest( |
| 93 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 94 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 95 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 96 | { |
| 97 | unsigned int depth = 2u; |
| 98 | unsigned int batchSize = 2u; |
| 99 | unsigned int channels = 2u; |
| 100 | unsigned int height = 2u; |
| 101 | unsigned int width = 3u; |
| 102 | |
| 103 | unsigned int shape[] = { depth, batchSize, channels, height, width }; |
| 104 | |
| 105 | std::vector<float> input1 = |
| 106 | { |
| 107 | 2.6f, 4.0f, 4.4f, 2.7f, 4.6f, 2.8f, |
| 108 | 2.3f, 1.9f, 3.4f, 2.9f, 2.2f, 4.5f, |
| 109 | |
| 110 | 2.8f, 1.9f, 2.3f, 2.6f, 4.7f, 3.5f, |
| 111 | 0.4f, 1.5f, 2.1f, 0.7f, 5.0f, 1.1f, |
| 112 | |
| 113 | |
| 114 | 1.0f, 2.7f, 0.0f, 0.6f, 0.8f, 0.9f, |
| 115 | 1.0f, 2.6f, 0.4f, 3.8f, 0.4f, 0.8f, |
| 116 | |
| 117 | 0.5f, 4.3f, 3.1f, 4.4f, 0.7f, 1.4f, |
| 118 | 0.4f, 4.4f, 0.7f, 0.6f, 4.7f, 1.2f, |
| 119 | |
| 120 | }; |
| 121 | |
| 122 | std::vector<float> input2 = |
| 123 | { |
| 124 | 4.4f, 3.0f, 1.0f, 0.0f, 3.9f, 3.1f, |
| 125 | 1.7f, 2.9f, 1.3f, 0.4f, 0.4f, 4.3f, |
| 126 | |
| 127 | 4.5f, 0.2f, 2.2f, 4.1f, 3.9f, 3.0f, |
| 128 | 0.1f, 2.5f, 4.1f, 4.6f, 1.5f, 0.0f, |
| 129 | |
| 130 | |
| 131 | 0.5f, 4.9f, 2.5f, 1.5f, 3.4f, 4.5f, |
| 132 | 2.0f, 3.0f, 4.9f, 1.6f, 2.4f, 3.4f, |
| 133 | |
| 134 | 3.6f, 1.8f, 1.3f, 2.6f, 2.1f, 4.8f, |
| 135 | 2.0f, 4.3f, 4.0f, 0.2f, 0.6f, 4.4f, |
| 136 | }; |
| 137 | |
| 138 | std::vector<float> output = |
| 139 | { |
| 140 | 7.0f, 7.0f, 5.4f, 2.7f, 8.5f, 5.9f, |
| 141 | 4.0f, 4.8f, 4.7f, 3.3f, 2.6f, 8.8f, |
| 142 | |
| 143 | 7.3f, 2.1f, 4.5f, 6.7f, 8.6f, 6.5f, |
| 144 | 0.5f, 4.0f, 6.2f, 5.3f, 6.5f, 1.1f, |
| 145 | |
| 146 | |
| 147 | 1.5f, 7.6f, 2.5f, 2.1f, 4.2f, 5.4f, |
| 148 | 3.0f, 5.6f, 5.3f, 5.4f, 2.8f, 4.2f, |
| 149 | |
| 150 | 4.1f, 6.1f, 4.4f, 7.0f, 2.8f, 6.2f, |
| 151 | 2.4f, 8.7f, 4.7f, 0.8f, 5.3f, 5.6f, |
| 152 | }; |
| 153 | |
| 154 | return ElementwiseTestHelper<5, armnn::AdditionQueueDescriptor, armnn::DataType::Float32>( |
| 155 | workloadFactory, |
| 156 | memoryManager, |
| 157 | shape, |
| 158 | input1, |
| 159 | shape, |
| 160 | input2, |
| 161 | shape, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 162 | output, |
| 163 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 164 | } |
| 165 | |
| 166 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 167 | LayerTestResult<T, 4> AdditionBroadcastTestImpl( |
| 168 | armnn::IWorkloadFactory& workloadFactory, |
| 169 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 170 | float qScale, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 171 | int32_t qOffset, |
| 172 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 173 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 174 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 175 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 1}, ArmnnType); |
| 176 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 2, 3}, ArmnnType); |
| 177 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 178 | |
| 179 | if (armnn::IsQuantizedType<T>()) |
| 180 | { |
| 181 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 182 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 183 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 184 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 185 | outputTensorInfo.SetQuantizationScale(qScale); |
| 186 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 187 | } |
| 188 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 189 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 190 | { |
| 191 | 0.0f, |
| 192 | 1.0f, |
| 193 | |
| 194 | 2.0f, |
| 195 | 3.0f, |
| 196 | |
| 197 | 4.0f, |
| 198 | 5.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 199 | }, |
| 200 | qScale, qOffset)); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 201 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 202 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 203 | { |
| 204 | 0.5f, 1.5f, 2.5f, |
| 205 | 3.5f, 4.5f, 5.5f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 206 | }, |
| 207 | qScale, qOffset)); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 208 | |
| 209 | LayerTestResult<T,4> ret(outputTensorInfo); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 210 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 211 | { |
| 212 | 0.5f, 1.5f, 2.5f, |
| 213 | 4.5f, 5.5f, 6.5f, |
| 214 | |
| 215 | 2.5f, 3.5f, 4.5f, |
| 216 | 6.5f, 7.5f, 8.5f, |
| 217 | |
| 218 | 4.5f, 5.5f, 6.5f, |
| 219 | 8.5f, 9.5f, 10.5f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 220 | }, |
| 221 | qScale, qOffset)); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 222 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 223 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 224 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 225 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 226 | |
| 227 | armnn::AdditionQueueDescriptor data; |
| 228 | armnn::WorkloadInfo info; |
| 229 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 230 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 231 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 232 | |
| 233 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 234 | |
| 235 | inputHandle1->Allocate(); |
| 236 | inputHandle2->Allocate(); |
| 237 | outputHandle->Allocate(); |
| 238 | |
| 239 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 240 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 241 | |
| 242 | workload->PostAllocationConfigure(); |
| 243 | workload->Execute(); |
| 244 | |
| 245 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 246 | |
| 247 | return ret; |
| 248 | } |
| 249 | |
| 250 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 251 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 252 | armnn::IWorkloadFactory& workloadFactory, |
| 253 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 254 | float qScale, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 255 | int32_t qOffset, |
| 256 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 257 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 258 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 259 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 260 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 261 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 262 | |
| 263 | if (armnn::IsQuantizedType<T>()) |
| 264 | { |
| 265 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 266 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 267 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 268 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 269 | outputTensorInfo.SetQuantizationScale(qScale); |
| 270 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 271 | } |
| 272 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 273 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 274 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 275 | 0.0f, 1.0f, 2.0f, |
| 276 | 3.0f, 4.0f, 5.0f, |
| 277 | 6.0f, 7.0f, 8.0f, |
| 278 | 9.0f, 10.0f, 11.0f, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 279 | 12.0f, 13.0f, 14.0f, |
| 280 | 15.0f, 16.0f, 17.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 281 | }, |
| 282 | qScale, qOffset)); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 283 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 284 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 285 | { |
| 286 | 0.5f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 287 | }, |
| 288 | qScale, qOffset)); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 289 | |
| 290 | LayerTestResult<T,4> ret(outputTensorInfo); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 291 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 292 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 293 | 0.5f, 1.5f, 2.5f, |
| 294 | 3.5f, 4.5f, 5.5f, |
| 295 | 6.5f, 7.5f, 8.5f, |
| 296 | 9.5f, 10.5f, 11.5f, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 297 | 12.5f, 13.5f, 14.5f, |
| 298 | 15.5f, 16.5f, 17.5f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 299 | }, |
| 300 | qScale, qOffset)); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 301 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 302 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 303 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 304 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 305 | |
| 306 | armnn::AdditionQueueDescriptor data; |
| 307 | armnn::WorkloadInfo info; |
| 308 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 309 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 310 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 311 | |
| 312 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 313 | |
| 314 | inputHandle1->Allocate(); |
| 315 | inputHandle2->Allocate(); |
| 316 | outputHandle->Allocate(); |
| 317 | |
| 318 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 319 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 320 | |
| 321 | workload->PostAllocationConfigure(); |
| 322 | workload->Execute(); |
| 323 | |
| 324 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 325 | |
| 326 | return ret; |
| 327 | } |
| 328 | |
| 329 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 330 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 331 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 332 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 333 | { |
| 334 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 335 | workloadFactory, memoryManager, 0.0f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 336 | } |
| 337 | |
| 338 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 339 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 340 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 341 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 342 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 343 | return AdditionBroadcastTestImpl<armnn::DataType::QAsymmU8>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 344 | workloadFactory, memoryManager, 2.f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 345 | } |
| 346 | |
| 347 | LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test( |
| 348 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 349 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 350 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 351 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 352 | return AdditionBroadcastTestImpl<armnn::DataType::QSymmS16>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 353 | workloadFactory, memoryManager, 2.f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 354 | } |
| 355 | |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 356 | LayerTestResult<int32_t, 4> AdditionBroadcastInt32Test( |
| 357 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 358 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 359 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 360 | { |
| 361 | return AdditionBroadcastTestImpl<armnn::DataType::Signed32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 362 | workloadFactory, memoryManager, 1.f, 0, tensorHandleFactory); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 363 | } |
| 364 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 365 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 366 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 367 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 368 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 369 | { |
| 370 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 371 | workloadFactory, memoryManager, 0.0f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 372 | } |
| 373 | |
| 374 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 375 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 376 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 377 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 378 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 379 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QAsymmU8>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 380 | workloadFactory, memoryManager, 0.1333333f, 128, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 381 | } |
| 382 | |
| 383 | LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test( |
| 384 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 385 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 386 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 387 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 388 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QSymmS16>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 389 | workloadFactory, memoryManager, 0.1333333f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 390 | } |
| 391 | |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 392 | LayerTestResult<int32_t, 4> AdditionBroadcast1ElementInt32Test( |
| 393 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 394 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 395 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 396 | { |
| 397 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Signed32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 398 | workloadFactory, memoryManager, 1.f, 0, tensorHandleFactory); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 399 | } |
| 400 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 401 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 402 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 403 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 404 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 405 | { |
| 406 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 407 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 408 | |
| 409 | std::vector<uint8_t> input0( |
| 410 | { |
| 411 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 412 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 413 | }); |
| 414 | |
| 415 | std::vector<uint8_t> input1( |
| 416 | { |
| 417 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 418 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 419 | }); |
| 420 | |
| 421 | std::vector<uint8_t> output( |
| 422 | { |
| 423 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 424 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 425 | }); |
| 426 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 427 | return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 428 | workloadFactory, |
| 429 | memoryManager, |
| 430 | shape0, |
| 431 | input0, |
| 432 | 7.0f, |
| 433 | 3, |
| 434 | shape1, |
| 435 | input1, |
| 436 | 7.0f, |
| 437 | 3, |
| 438 | shape0, |
| 439 | output, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 440 | tensorHandleFactory, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 441 | 7.0f, |
| 442 | 3); |
| 443 | } |
| 444 | |
| 445 | LayerTestResult<int16_t, 4> AdditionInt16Test( |
| 446 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 447 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 448 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 449 | { |
| 450 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 451 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 452 | |
| 453 | std::vector<int16_t> input0 = |
| 454 | { |
| 455 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 456 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 457 | }; |
| 458 | |
| 459 | std::vector<int16_t> input1 = |
| 460 | { |
| 461 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 462 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 463 | }; |
| 464 | |
| 465 | std::vector<int16_t> output = |
| 466 | { |
| 467 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 468 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 469 | }; |
| 470 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 471 | return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 472 | workloadFactory, |
| 473 | memoryManager, |
| 474 | shape0, |
| 475 | input0, |
| 476 | 7.0f, |
| 477 | 0, |
| 478 | shape1, |
| 479 | input1, |
| 480 | 7.0f, |
| 481 | 0, |
| 482 | shape0, |
| 483 | output, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 484 | tensorHandleFactory, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 485 | 7.0f, |
| 486 | 0); |
| 487 | } |
| 488 | |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 489 | LayerTestResult<int32_t, 4> AdditionInt32Test( |
| 490 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 491 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 492 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 493 | { |
| 494 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 495 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 496 | |
| 497 | std::vector<int32_t> input0 = |
| 498 | { |
| 499 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 500 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 501 | }; |
| 502 | |
| 503 | std::vector<int32_t> input1 = |
| 504 | { |
| 505 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 506 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 507 | }; |
| 508 | |
| 509 | std::vector<int32_t> output = |
| 510 | { |
| 511 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 512 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 513 | }; |
| 514 | |
| 515 | return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::Signed32>( |
| 516 | workloadFactory, |
| 517 | memoryManager, |
| 518 | shape0, |
| 519 | input0, |
| 520 | 1.0f, |
| 521 | 0, |
| 522 | shape1, |
| 523 | input1, |
| 524 | 1.0f, |
| 525 | 0, |
| 526 | shape0, |
| 527 | output, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 528 | tensorHandleFactory, |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 529 | 1.0f, |
| 530 | 0); |
| 531 | } |
| 532 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 533 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 534 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 535 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 536 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 537 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 538 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 539 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 540 | // Create Initial Tensor |
| 541 | // 1, 2, 3 |
| 542 | // 4, 5, 6 |
| 543 | // 7, 8, 9 |
| 544 | |
| 545 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 546 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
| 547 | |
| 548 | boost::multi_array<float, 4> poolingInput = MakeTensor<float,4>(poolingInputTensorInfo, |
| 549 | {1, 2, 3, |
| 550 | 4, 5, 6, |
| 551 | 7, 8, 9 |
| 552 | }); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 553 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 554 | tensorHandleFactory.CreateTensorHandle(poolingInputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 555 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 556 | tensorHandleFactory.CreateTensorHandle(poolingOutputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 557 | |
| 558 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 559 | // Result = |
| 560 | // 1, 3 |
| 561 | // 7, 9 |
| 562 | armnn::Pooling2dDescriptor descriptor; |
| 563 | descriptor.m_PoolHeight = 1; |
| 564 | descriptor.m_PoolWidth = 1; |
| 565 | descriptor.m_StrideX = 2; |
| 566 | descriptor.m_StrideY = 2; |
| 567 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 568 | |
| 569 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 570 | queueDescriptor.m_Parameters = descriptor; |
| 571 | armnn::WorkloadInfo workloadInfo; |
| 572 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 573 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 574 | |
| 575 | // Create the MaxPool |
| 576 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 577 | |
| 578 | //LayerTestResult<float, 4> result(poolingOutputTensorInfo); |
| 579 | auto shape( GetTensorShapeAsArray<4>(poolingOutputTensorInfo)); |
| 580 | boost::multi_array<float, 4> resultMaxPool; |
| 581 | resultMaxPool.resize(shape); |
| 582 | |
| 583 | |
| 584 | // Create addition with another tensor the same size |
| 585 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 586 | // with the initial tensor. |
| 587 | // 12, 16 |
| 588 | // 24, 28 |
| 589 | |
| 590 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
| 591 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
| 592 | |
| 593 | boost::multi_array<float, 4> addInput = MakeTensor<float,4>(addInputTensorInfo, |
| 594 | {12, 16, |
| 595 | 24, 28, |
| 596 | }); |
| 597 | |
| 598 | // Expected output tensor after MaxPool and Addition. |
| 599 | LayerTestResult<float,4> addRet(addOutputTensorInfo); |
| 600 | addRet.outputExpected = MakeTensor<float, 4>(addOutputTensorInfo, std::vector<float>( |
| 601 | { |
| 602 | 13, 19, |
| 603 | 31, 37 |
| 604 | })); |
| 605 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 606 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = tensorHandleFactory.CreateTensorHandle(addInputTensorInfo); |
| 607 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = |
| 608 | tensorHandleFactory.CreateTensorHandle(addOutputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 609 | |
| 610 | armnn::AdditionQueueDescriptor data; |
| 611 | armnn::WorkloadInfo info; |
| 612 | |
| 613 | // Add the output of the MaxPool and the new tensor |
| 614 | AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 615 | AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get()); |
| 616 | AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get()); |
| 617 | |
| 618 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateAddition(data, info); |
| 619 | |
| 620 | poolingInputHandle->Allocate(); |
| 621 | poolingOutputHandle->Allocate(); |
| 622 | addInputHandle->Allocate(); |
| 623 | addOutputHandle->Allocate(); |
| 624 | |
| 625 | CopyDataToITensorHandle(poolingInputHandle.get(), &poolingInput[0][0][0][0]); |
| 626 | CopyDataFromITensorHandle(&resultMaxPool[0][0][0][0], poolingOutputHandle.get()); |
| 627 | |
| 628 | CopyDataToITensorHandle(poolingOutputHandle.get(), &resultMaxPool[0][0][0][0]); |
| 629 | CopyDataToITensorHandle(addInputHandle.get(), &addInput[0][0][0][0]); |
| 630 | |
| 631 | workload->PostAllocationConfigure(); |
| 632 | workload->Execute(); |
| 633 | addWorkload->PostAllocationConfigure(); |
| 634 | addWorkload->Execute(); |
| 635 | |
| 636 | CopyDataFromITensorHandle(&addRet.output[0][0][0][0], addOutputHandle.get()); |
| 637 | |
| 638 | return addRet; |
| 639 | } |
| 640 | |
| 641 | LayerTestResult<float,4> CompareAdditionTest( |
| 642 | armnn::IWorkloadFactory& workloadFactory, |
| 643 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 644 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 645 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 646 | const armnn::ITensorHandleFactory& refTensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 647 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 648 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 649 | unsigned int batchSize = 4; |
| 650 | unsigned int channels = 1; |
| 651 | unsigned int height = 2; |
| 652 | unsigned int width = 3; |
| 653 | |
| 654 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 655 | armnn::TensorInfo outputTensorInfo; |
| 656 | |
| 657 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 658 | |
| 659 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 660 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 661 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 662 | |
| 663 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 1232); |
| 664 | auto input2 = MakeRandomTensor<float, 4>(inputTensorInfo2, 456); |
| 665 | |
| 666 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 667 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 668 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 669 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 670 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 671 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 672 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refTensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 673 | std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refTensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 674 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refTensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 675 | |
| 676 | armnn::AdditionQueueDescriptor data; |
| 677 | armnn::WorkloadInfo info; |
| 678 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 679 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 680 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 681 | |
| 682 | armnn::AdditionQueueDescriptor refData = data; |
| 683 | armnn::WorkloadInfo refInfo = info; |
| 684 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get()); |
| 685 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get()); |
| 686 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 687 | |
| 688 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 689 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateAddition(refData, refInfo); |
| 690 | |
| 691 | inputHandle1->Allocate(); |
| 692 | inputHandle2->Allocate(); |
| 693 | outputHandle->Allocate(); |
| 694 | inputHandle1Ref->Allocate(); |
| 695 | inputHandle2Ref->Allocate(); |
| 696 | outputHandleRef->Allocate(); |
| 697 | |
| 698 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 699 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 700 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 701 | CopyDataToITensorHandle(inputHandle2Ref.get(), &input2[0][0][0][0]); |
| 702 | |
| 703 | workload->PostAllocationConfigure(); |
| 704 | workload->Execute(); |
| 705 | workloadRef->PostAllocationConfigure(); |
| 706 | workloadRef->Execute(); |
| 707 | |
| 708 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 709 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 710 | |
| 711 | return ret; |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 712 | } |