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 | |
Colm Donelan | c42a987 | 2022-02-02 16:35:09 +0000 | [diff] [blame^] | 10 | #include <armnnUtils/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 | { |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 19 | return workloadFactory.CreateWorkload(armnn::LayerType::Addition, descriptor, info); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 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 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 234 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Addition, |
| 235 | data, info); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 236 | |
| 237 | inputHandle1->Allocate(); |
| 238 | inputHandle2->Allocate(); |
| 239 | outputHandle->Allocate(); |
| 240 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 241 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 242 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 243 | |
| 244 | workload->PostAllocationConfigure(); |
| 245 | workload->Execute(); |
| 246 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 247 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 248 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 249 | return LayerTestResult<T, 4>(actualOutput, |
| 250 | expectedOutput, |
| 251 | outputHandle->GetShape(), |
| 252 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 253 | } |
| 254 | |
| 255 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 256 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 257 | armnn::IWorkloadFactory& workloadFactory, |
| 258 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 259 | float qScale, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 260 | int32_t qOffset, |
| 261 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 262 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 263 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 264 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 265 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 266 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 267 | |
| 268 | if (armnn::IsQuantizedType<T>()) |
| 269 | { |
| 270 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 271 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 272 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 273 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 274 | outputTensorInfo.SetQuantizationScale(qScale); |
| 275 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 276 | } |
| 277 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 278 | auto input1 = armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 279 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 280 | 0.0f, 1.0f, 2.0f, |
| 281 | 3.0f, 4.0f, 5.0f, |
| 282 | 6.0f, 7.0f, 8.0f, |
| 283 | 9.0f, 10.0f, 11.0f, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 284 | 12.0f, 13.0f, 14.0f, |
| 285 | 15.0f, 16.0f, 17.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 286 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 287 | qScale, qOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 288 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 289 | auto input2 = armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 290 | { |
| 291 | 0.5f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 292 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 293 | qScale, qOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 294 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 295 | std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); |
| 296 | |
| 297 | auto expectedOutput = armnnUtils::QuantizedVector<T>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 298 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 299 | 0.5f, 1.5f, 2.5f, |
| 300 | 3.5f, 4.5f, 5.5f, |
| 301 | 6.5f, 7.5f, 8.5f, |
| 302 | 9.5f, 10.5f, 11.5f, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 303 | 12.5f, 13.5f, 14.5f, |
| 304 | 15.5f, 16.5f, 17.5f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 305 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 306 | qScale, qOffset); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 307 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 308 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 309 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 310 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 311 | |
| 312 | armnn::AdditionQueueDescriptor data; |
| 313 | armnn::WorkloadInfo info; |
| 314 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 315 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 316 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 317 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 318 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Addition, |
| 319 | data, info); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 320 | |
| 321 | inputHandle1->Allocate(); |
| 322 | inputHandle2->Allocate(); |
| 323 | outputHandle->Allocate(); |
| 324 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 325 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 326 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 327 | |
| 328 | workload->PostAllocationConfigure(); |
| 329 | workload->Execute(); |
| 330 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 331 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 332 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 333 | return LayerTestResult<T, 4>(actualOutput, |
| 334 | expectedOutput, |
| 335 | outputHandle->GetShape(), |
| 336 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 337 | } |
| 338 | |
| 339 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 340 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 341 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 342 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 343 | { |
| 344 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 345 | workloadFactory, memoryManager, 0.0f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 346 | } |
| 347 | |
| 348 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 349 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 350 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 351 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 352 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 353 | return AdditionBroadcastTestImpl<armnn::DataType::QAsymmU8>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 354 | workloadFactory, memoryManager, 2.f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 355 | } |
| 356 | |
| 357 | LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test( |
| 358 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 359 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 360 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 361 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 362 | return AdditionBroadcastTestImpl<armnn::DataType::QSymmS16>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 363 | workloadFactory, memoryManager, 2.f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 364 | } |
| 365 | |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 366 | LayerTestResult<int32_t, 4> AdditionBroadcastInt32Test( |
| 367 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 368 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 369 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 370 | { |
| 371 | return AdditionBroadcastTestImpl<armnn::DataType::Signed32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 372 | workloadFactory, memoryManager, 1.f, 0, tensorHandleFactory); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 373 | } |
| 374 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 375 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 376 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 377 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 378 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 379 | { |
| 380 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 381 | workloadFactory, memoryManager, 0.0f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 382 | } |
| 383 | |
| 384 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 385 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 386 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 387 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 388 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 389 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QAsymmU8>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 390 | workloadFactory, memoryManager, 0.1333333f, 128, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 391 | } |
| 392 | |
| 393 | LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test( |
| 394 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 395 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 396 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 397 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 398 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QSymmS16>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 399 | workloadFactory, memoryManager, 0.1333333f, 0, tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 400 | } |
| 401 | |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 402 | LayerTestResult<int32_t, 4> AdditionBroadcast1ElementInt32Test( |
| 403 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 404 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 405 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 406 | { |
| 407 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Signed32>( |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 408 | workloadFactory, memoryManager, 1.f, 0, tensorHandleFactory); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 409 | } |
| 410 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 411 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 412 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 413 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 414 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 415 | { |
| 416 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 417 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 418 | |
| 419 | std::vector<uint8_t> input0( |
| 420 | { |
| 421 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 422 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 423 | }); |
| 424 | |
| 425 | std::vector<uint8_t> input1( |
| 426 | { |
| 427 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 428 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 429 | }); |
| 430 | |
| 431 | std::vector<uint8_t> output( |
| 432 | { |
| 433 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 434 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 435 | }); |
| 436 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 437 | return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 438 | workloadFactory, |
| 439 | memoryManager, |
| 440 | shape0, |
| 441 | input0, |
| 442 | 7.0f, |
| 443 | 3, |
| 444 | shape1, |
| 445 | input1, |
| 446 | 7.0f, |
| 447 | 3, |
| 448 | shape0, |
| 449 | output, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 450 | tensorHandleFactory, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 451 | 7.0f, |
| 452 | 3); |
| 453 | } |
| 454 | |
| 455 | LayerTestResult<int16_t, 4> AdditionInt16Test( |
| 456 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 457 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 458 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 459 | { |
| 460 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 461 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 462 | |
| 463 | std::vector<int16_t> input0 = |
| 464 | { |
| 465 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 466 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 467 | }; |
| 468 | |
| 469 | std::vector<int16_t> input1 = |
| 470 | { |
| 471 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 472 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 473 | }; |
| 474 | |
| 475 | std::vector<int16_t> output = |
| 476 | { |
| 477 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 478 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 479 | }; |
| 480 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 481 | return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 482 | workloadFactory, |
| 483 | memoryManager, |
| 484 | shape0, |
| 485 | input0, |
| 486 | 7.0f, |
| 487 | 0, |
| 488 | shape1, |
| 489 | input1, |
| 490 | 7.0f, |
| 491 | 0, |
| 492 | shape0, |
| 493 | output, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 494 | tensorHandleFactory, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 495 | 7.0f, |
| 496 | 0); |
| 497 | } |
| 498 | |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 499 | LayerTestResult<int32_t, 4> AdditionInt32Test( |
| 500 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 501 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 502 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 503 | { |
| 504 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 505 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 506 | |
| 507 | std::vector<int32_t> input0 = |
| 508 | { |
| 509 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 510 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 511 | }; |
| 512 | |
| 513 | std::vector<int32_t> input1 = |
| 514 | { |
| 515 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 516 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 517 | }; |
| 518 | |
| 519 | std::vector<int32_t> output = |
| 520 | { |
| 521 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 522 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 523 | }; |
| 524 | |
| 525 | return ElementwiseTestHelper<4, armnn::AdditionQueueDescriptor, armnn::DataType::Signed32>( |
| 526 | workloadFactory, |
| 527 | memoryManager, |
| 528 | shape0, |
| 529 | input0, |
| 530 | 1.0f, |
| 531 | 0, |
| 532 | shape1, |
| 533 | input1, |
| 534 | 1.0f, |
| 535 | 0, |
| 536 | shape0, |
| 537 | output, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 538 | tensorHandleFactory, |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 539 | 1.0f, |
| 540 | 0); |
| 541 | } |
| 542 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 543 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 544 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 545 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 546 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 547 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 548 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 549 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 550 | // Create Initial Tensor |
| 551 | // 1, 2, 3 |
| 552 | // 4, 5, 6 |
| 553 | // 7, 8, 9 |
| 554 | |
| 555 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 556 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
| 557 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 558 | std::vector<float> poolingInput = {1, 2, 3, |
| 559 | 4, 5, 6, |
| 560 | 7, 8, 9 |
| 561 | }; |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 562 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 563 | tensorHandleFactory.CreateTensorHandle(poolingInputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 564 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 565 | tensorHandleFactory.CreateTensorHandle(poolingOutputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 566 | |
| 567 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 568 | // Result = |
| 569 | // 1, 3 |
| 570 | // 7, 9 |
| 571 | armnn::Pooling2dDescriptor descriptor; |
| 572 | descriptor.m_PoolHeight = 1; |
| 573 | descriptor.m_PoolWidth = 1; |
| 574 | descriptor.m_StrideX = 2; |
| 575 | descriptor.m_StrideY = 2; |
| 576 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 577 | |
| 578 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 579 | queueDescriptor.m_Parameters = descriptor; |
| 580 | armnn::WorkloadInfo workloadInfo; |
| 581 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 582 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 583 | |
| 584 | // Create the MaxPool |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 585 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Pooling2d, |
| 586 | queueDescriptor, |
| 587 | workloadInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 588 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 589 | std::vector<float> resultMaxPool(poolingOutputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 590 | |
| 591 | // Create addition with another tensor the same size |
| 592 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 593 | // with the initial tensor. |
| 594 | // 12, 16 |
| 595 | // 24, 28 |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 596 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2 }, armnn::DataType::Float32); |
| 597 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2 }, armnn::DataType::Float32); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 598 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 599 | std::vector<float> addInput = { 12, 16, |
| 600 | 24, 28 }; |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 601 | |
| 602 | // Expected output tensor after MaxPool and Addition. |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 603 | std::vector<float> actualOutput(addOutputTensorInfo.GetNumElements()); |
| 604 | std::vector<float> expectedOutput = { 13, 19, |
| 605 | 31, 37 }; |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 606 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 607 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = tensorHandleFactory.CreateTensorHandle(addInputTensorInfo); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 608 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = 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 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 618 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateWorkload(armnn::LayerType::Addition, |
| 619 | data, info); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 620 | |
| 621 | poolingInputHandle->Allocate(); |
| 622 | poolingOutputHandle->Allocate(); |
| 623 | addInputHandle->Allocate(); |
| 624 | addOutputHandle->Allocate(); |
| 625 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 626 | CopyDataToITensorHandle(poolingInputHandle.get(), poolingInput.data()); |
| 627 | CopyDataFromITensorHandle(resultMaxPool.data(), poolingOutputHandle.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 628 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 629 | CopyDataToITensorHandle(poolingOutputHandle.get(), resultMaxPool.data()); |
| 630 | CopyDataToITensorHandle(addInputHandle.get(), addInput.data()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 631 | |
| 632 | workload->PostAllocationConfigure(); |
| 633 | workload->Execute(); |
| 634 | addWorkload->PostAllocationConfigure(); |
| 635 | addWorkload->Execute(); |
| 636 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 637 | CopyDataFromITensorHandle(actualOutput.data(), addOutputHandle.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 638 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 639 | return LayerTestResult<float, 4>(actualOutput, |
| 640 | expectedOutput, |
| 641 | addOutputHandle->GetShape(), |
| 642 | addOutputTensorInfo.GetShape()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 643 | } |
| 644 | |
| 645 | LayerTestResult<float,4> CompareAdditionTest( |
| 646 | armnn::IWorkloadFactory& workloadFactory, |
| 647 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 648 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 649 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 650 | const armnn::ITensorHandleFactory& refTensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 651 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 652 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 653 | unsigned int batchSize = 4; |
| 654 | unsigned int channels = 1; |
| 655 | unsigned int height = 2; |
| 656 | unsigned int width = 3; |
| 657 | |
| 658 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 659 | armnn::TensorInfo outputTensorInfo; |
| 660 | |
| 661 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 662 | |
| 663 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 664 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 665 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 666 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 667 | auto input1 = MakeRandomTensor<float>(inputTensorInfo1, 1232); |
| 668 | auto input2 = MakeRandomTensor<float>(inputTensorInfo2, 456); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 669 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 670 | std::vector<float> actualOutput(outputTensorInfo.GetNumElements()); |
| 671 | std::vector<float> expectedOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 672 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 673 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 674 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 675 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 676 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 677 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refTensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 678 | std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refTensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 679 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refTensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 680 | |
| 681 | armnn::AdditionQueueDescriptor data; |
| 682 | armnn::WorkloadInfo info; |
| 683 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 684 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 685 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 686 | |
| 687 | armnn::AdditionQueueDescriptor refData = data; |
| 688 | armnn::WorkloadInfo refInfo = info; |
| 689 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get()); |
| 690 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get()); |
| 691 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 692 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 693 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Addition, |
| 694 | data, info); |
| 695 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateWorkload(armnn::LayerType::Addition, |
| 696 | refData, refInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 697 | |
| 698 | inputHandle1->Allocate(); |
| 699 | inputHandle2->Allocate(); |
| 700 | outputHandle->Allocate(); |
| 701 | inputHandle1Ref->Allocate(); |
| 702 | inputHandle2Ref->Allocate(); |
| 703 | outputHandleRef->Allocate(); |
| 704 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 705 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 706 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
| 707 | CopyDataToITensorHandle(inputHandle1Ref.get(), input1.data()); |
| 708 | CopyDataToITensorHandle(inputHandle2Ref.get(), input2.data()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 709 | |
| 710 | workload->PostAllocationConfigure(); |
| 711 | workload->Execute(); |
| 712 | workloadRef->PostAllocationConfigure(); |
| 713 | workloadRef->Execute(); |
| 714 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 715 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
| 716 | CopyDataFromITensorHandle(expectedOutput.data(), outputHandleRef.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 717 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 718 | return LayerTestResult<float, 4>(actualOutput, |
| 719 | expectedOutput, |
| 720 | outputHandle->GetShape(), |
| 721 | outputTensorInfo.GetShape()); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 722 | } |