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 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 189 | auto input1 = 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 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 200 | qScale, qOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 201 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 202 | auto input2 = 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 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 207 | qScale, qOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 208 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 209 | std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); |
| 210 | |
| 211 | auto expectedOutput = armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 212 | { |
| 213 | 0.5f, 1.5f, 2.5f, |
| 214 | 4.5f, 5.5f, 6.5f, |
| 215 | |
| 216 | 2.5f, 3.5f, 4.5f, |
| 217 | 6.5f, 7.5f, 8.5f, |
| 218 | |
| 219 | 4.5f, 5.5f, 6.5f, |
| 220 | 8.5f, 9.5f, 10.5f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 221 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 222 | qScale, qOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 223 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 224 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 225 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 226 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 227 | |
| 228 | armnn::AdditionQueueDescriptor data; |
| 229 | armnn::WorkloadInfo info; |
| 230 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 231 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 232 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 233 | |
| 234 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 235 | |
| 236 | inputHandle1->Allocate(); |
| 237 | inputHandle2->Allocate(); |
| 238 | outputHandle->Allocate(); |
| 239 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 240 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 241 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 242 | |
| 243 | workload->PostAllocationConfigure(); |
| 244 | workload->Execute(); |
| 245 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 246 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 247 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 248 | return LayerTestResult<T, 4>(actualOutput, |
| 249 | expectedOutput, |
| 250 | outputHandle->GetShape(), |
| 251 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 252 | } |
| 253 | |
| 254 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 255 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 256 | armnn::IWorkloadFactory& workloadFactory, |
| 257 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 258 | float qScale, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 259 | int32_t qOffset, |
| 260 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 261 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 262 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 263 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 264 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 265 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 266 | |
| 267 | if (armnn::IsQuantizedType<T>()) |
| 268 | { |
| 269 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 270 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 271 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 272 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 273 | outputTensorInfo.SetQuantizationScale(qScale); |
| 274 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 275 | } |
| 276 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 277 | auto input1 = armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 278 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 279 | 0.0f, 1.0f, 2.0f, |
| 280 | 3.0f, 4.0f, 5.0f, |
| 281 | 6.0f, 7.0f, 8.0f, |
| 282 | 9.0f, 10.0f, 11.0f, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 283 | 12.0f, 13.0f, 14.0f, |
| 284 | 15.0f, 16.0f, 17.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 285 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 286 | qScale, qOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 287 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 288 | auto input2 = armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 289 | { |
| 290 | 0.5f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 291 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 292 | qScale, qOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 293 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 294 | std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); |
| 295 | |
| 296 | auto expectedOutput = armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 297 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 298 | 0.5f, 1.5f, 2.5f, |
| 299 | 3.5f, 4.5f, 5.5f, |
| 300 | 6.5f, 7.5f, 8.5f, |
| 301 | 9.5f, 10.5f, 11.5f, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 302 | 12.5f, 13.5f, 14.5f, |
| 303 | 15.5f, 16.5f, 17.5f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 304 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 305 | qScale, qOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 306 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 307 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 308 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 309 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 310 | |
| 311 | armnn::AdditionQueueDescriptor data; |
| 312 | armnn::WorkloadInfo info; |
| 313 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 314 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 315 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 316 | |
| 317 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 318 | |
| 319 | inputHandle1->Allocate(); |
| 320 | inputHandle2->Allocate(); |
| 321 | outputHandle->Allocate(); |
| 322 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 323 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 324 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 325 | |
| 326 | workload->PostAllocationConfigure(); |
| 327 | workload->Execute(); |
| 328 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 329 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 330 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 331 | return LayerTestResult<T, 4>(actualOutput, |
| 332 | expectedOutput, |
| 333 | outputHandle->GetShape(), |
| 334 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 335 | } |
| 336 | |
| 337 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 338 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 339 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 340 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 341 | { |
| 342 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 343 | workloadFactory, memoryManager, 0.0f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 344 | } |
| 345 | |
| 346 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 347 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 348 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 349 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 350 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 351 | return AdditionBroadcastTestImpl<armnn::DataType::QAsymmU8>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 352 | workloadFactory, memoryManager, 2.f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 353 | } |
| 354 | |
| 355 | LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test( |
| 356 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 357 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 358 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 359 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 360 | return AdditionBroadcastTestImpl<armnn::DataType::QSymmS16>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 361 | workloadFactory, memoryManager, 2.f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 362 | } |
| 363 | |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 364 | LayerTestResult<int32_t, 4> AdditionBroadcastInt32Test( |
| 365 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 366 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 367 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 368 | { |
| 369 | return AdditionBroadcastTestImpl<armnn::DataType::Signed32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 370 | workloadFactory, memoryManager, 1.f, 0, tensorHandleFactory); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 371 | } |
| 372 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 373 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 374 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 375 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 376 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 377 | { |
| 378 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 379 | workloadFactory, memoryManager, 0.0f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 380 | } |
| 381 | |
| 382 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 383 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 384 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 385 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 386 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 387 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QAsymmU8>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 388 | workloadFactory, memoryManager, 0.1333333f, 128, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 389 | } |
| 390 | |
| 391 | LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test( |
| 392 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 393 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 394 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 395 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 396 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QSymmS16>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 397 | workloadFactory, memoryManager, 0.1333333f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 398 | } |
| 399 | |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 400 | LayerTestResult<int32_t, 4> AdditionBroadcast1ElementInt32Test( |
| 401 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 402 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 403 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 404 | { |
| 405 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Signed32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 406 | workloadFactory, memoryManager, 1.f, 0, tensorHandleFactory); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 407 | } |
| 408 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 409 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 410 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 411 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 412 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 413 | { |
| 414 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 415 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 416 | |
| 417 | std::vector<uint8_t> input0( |
| 418 | { |
| 419 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 420 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 421 | }); |
| 422 | |
| 423 | std::vector<uint8_t> input1( |
| 424 | { |
| 425 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 426 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 427 | }); |
| 428 | |
| 429 | std::vector<uint8_t> output( |
| 430 | { |
| 431 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 432 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 433 | }); |
| 434 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 435 | return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 436 | workloadFactory, |
| 437 | memoryManager, |
| 438 | shape0, |
| 439 | input0, |
| 440 | 7.0f, |
| 441 | 3, |
| 442 | shape1, |
| 443 | input1, |
| 444 | 7.0f, |
| 445 | 3, |
| 446 | shape0, |
| 447 | output, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 448 | tensorHandleFactory, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 449 | 7.0f, |
| 450 | 3); |
| 451 | } |
| 452 | |
| 453 | LayerTestResult<int16_t, 4> AdditionInt16Test( |
| 454 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 455 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 456 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 457 | { |
| 458 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 459 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 460 | |
| 461 | std::vector<int16_t> input0 = |
| 462 | { |
| 463 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 464 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 465 | }; |
| 466 | |
| 467 | std::vector<int16_t> input1 = |
| 468 | { |
| 469 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 470 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 471 | }; |
| 472 | |
| 473 | std::vector<int16_t> output = |
| 474 | { |
| 475 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 476 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 477 | }; |
| 478 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 479 | return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 480 | workloadFactory, |
| 481 | memoryManager, |
| 482 | shape0, |
| 483 | input0, |
| 484 | 7.0f, |
| 485 | 0, |
| 486 | shape1, |
| 487 | input1, |
| 488 | 7.0f, |
| 489 | 0, |
| 490 | shape0, |
| 491 | output, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 492 | tensorHandleFactory, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 493 | 7.0f, |
| 494 | 0); |
| 495 | } |
| 496 | |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 497 | LayerTestResult<int32_t, 4> AdditionInt32Test( |
| 498 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 499 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 500 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 501 | { |
| 502 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 503 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 504 | |
| 505 | std::vector<int32_t> input0 = |
| 506 | { |
| 507 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 508 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 509 | }; |
| 510 | |
| 511 | std::vector<int32_t> input1 = |
| 512 | { |
| 513 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 514 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 515 | }; |
| 516 | |
| 517 | std::vector<int32_t> output = |
| 518 | { |
| 519 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 520 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 521 | }; |
| 522 | |
| 523 | return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::Signed32>( |
| 524 | workloadFactory, |
| 525 | memoryManager, |
| 526 | shape0, |
| 527 | input0, |
| 528 | 1.0f, |
| 529 | 0, |
| 530 | shape1, |
| 531 | input1, |
| 532 | 1.0f, |
| 533 | 0, |
| 534 | shape0, |
| 535 | output, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 536 | tensorHandleFactory, |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 537 | 1.0f, |
| 538 | 0); |
| 539 | } |
| 540 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 541 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 542 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 543 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 544 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 545 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 546 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 547 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 548 | // Create Initial Tensor |
| 549 | // 1, 2, 3 |
| 550 | // 4, 5, 6 |
| 551 | // 7, 8, 9 |
| 552 | |
| 553 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 554 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
| 555 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 556 | std::vector<float> poolingInput = {1, 2, 3, |
| 557 | 4, 5, 6, |
| 558 | 7, 8, 9 |
| 559 | }; |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 560 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 561 | tensorHandleFactory.CreateTensorHandle(poolingInputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 562 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 563 | tensorHandleFactory.CreateTensorHandle(poolingOutputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 564 | |
| 565 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 566 | // Result = |
| 567 | // 1, 3 |
| 568 | // 7, 9 |
| 569 | armnn::Pooling2dDescriptor descriptor; |
| 570 | descriptor.m_PoolHeight = 1; |
| 571 | descriptor.m_PoolWidth = 1; |
| 572 | descriptor.m_StrideX = 2; |
| 573 | descriptor.m_StrideY = 2; |
| 574 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 575 | |
| 576 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 577 | queueDescriptor.m_Parameters = descriptor; |
| 578 | armnn::WorkloadInfo workloadInfo; |
| 579 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 580 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 581 | |
| 582 | // Create the MaxPool |
| 583 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 584 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 585 | std::vector<float> resultMaxPool(poolingOutputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 586 | |
| 587 | // Create addition with another tensor the same size |
| 588 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 589 | // with the initial tensor. |
| 590 | // 12, 16 |
| 591 | // 24, 28 |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 592 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2 }, armnn::DataType::Float32); |
| 593 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2 }, armnn::DataType::Float32); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 594 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 595 | std::vector<float> addInput = { 12, 16, |
| 596 | 24, 28 }; |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 597 | |
| 598 | // Expected output tensor after MaxPool and Addition. |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 599 | std::vector<float> actualOutput(addOutputTensorInfo.GetNumElements()); |
| 600 | std::vector<float> expectedOutput = { 13, 19, |
| 601 | 31, 37 }; |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 602 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 603 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = tensorHandleFactory.CreateTensorHandle(addInputTensorInfo); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 604 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = tensorHandleFactory.CreateTensorHandle(addOutputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 605 | |
| 606 | armnn::AdditionQueueDescriptor data; |
| 607 | armnn::WorkloadInfo info; |
| 608 | |
| 609 | // Add the output of the MaxPool and the new tensor |
| 610 | AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 611 | AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get()); |
| 612 | AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get()); |
| 613 | |
| 614 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateAddition(data, info); |
| 615 | |
| 616 | poolingInputHandle->Allocate(); |
| 617 | poolingOutputHandle->Allocate(); |
| 618 | addInputHandle->Allocate(); |
| 619 | addOutputHandle->Allocate(); |
| 620 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 621 | CopyDataToITensorHandle(poolingInputHandle.get(), poolingInput.data()); |
| 622 | CopyDataFromITensorHandle(resultMaxPool.data(), poolingOutputHandle.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 623 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 624 | CopyDataToITensorHandle(poolingOutputHandle.get(), resultMaxPool.data()); |
| 625 | CopyDataToITensorHandle(addInputHandle.get(), addInput.data()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 626 | |
| 627 | workload->PostAllocationConfigure(); |
| 628 | workload->Execute(); |
| 629 | addWorkload->PostAllocationConfigure(); |
| 630 | addWorkload->Execute(); |
| 631 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 632 | CopyDataFromITensorHandle(actualOutput.data(), addOutputHandle.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 633 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 634 | return LayerTestResult<float, 4>(actualOutput, |
| 635 | expectedOutput, |
| 636 | addOutputHandle->GetShape(), |
| 637 | addOutputTensorInfo.GetShape()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 638 | } |
| 639 | |
| 640 | LayerTestResult<float,4> CompareAdditionTest( |
| 641 | armnn::IWorkloadFactory& workloadFactory, |
| 642 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 643 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 644 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 645 | const armnn::ITensorHandleFactory& refTensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 646 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 647 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 648 | unsigned int batchSize = 4; |
| 649 | unsigned int channels = 1; |
| 650 | unsigned int height = 2; |
| 651 | unsigned int width = 3; |
| 652 | |
| 653 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 654 | armnn::TensorInfo outputTensorInfo; |
| 655 | |
| 656 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 657 | |
| 658 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 659 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 660 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 661 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 662 | auto input1 = MakeRandomTensor<float>(inputTensorInfo1, 1232); |
| 663 | auto input2 = MakeRandomTensor<float>(inputTensorInfo2, 456); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 664 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 665 | std::vector<float> actualOutput(outputTensorInfo.GetNumElements()); |
| 666 | std::vector<float> expectedOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 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 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 698 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 699 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
| 700 | CopyDataToITensorHandle(inputHandle1Ref.get(), input1.data()); |
| 701 | CopyDataToITensorHandle(inputHandle2Ref.get(), input2.data()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 702 | |
| 703 | workload->PostAllocationConfigure(); |
| 704 | workload->Execute(); |
| 705 | workloadRef->PostAllocationConfigure(); |
| 706 | workloadRef->Execute(); |
| 707 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 708 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
| 709 | CopyDataFromITensorHandle(expectedOutput.data(), outputHandleRef.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 710 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 711 | return LayerTestResult<float, 4>(actualOutput, |
| 712 | expectedOutput, |
| 713 | outputHandle->GetShape(), |
| 714 | outputTensorInfo.GetShape()); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 715 | } |