Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 1 | // |
Teresa Charlin | 1fe6c81 | 2022-11-01 15:59:50 +0000 | [diff] [blame] | 2 | // Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved. |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "BatchMatMulTestImpl.hpp" |
| 7 | |
| 8 | #include <armnn/backends/IBackendInternal.hpp> |
| 9 | #include <armnn/backends/Workload.hpp> |
| 10 | #include <armnn/backends/WorkloadData.hpp> |
| 11 | #include <armnn/backends/WorkloadFactory.hpp> |
| 12 | |
| 13 | #include <armnnTestUtils/WorkloadTestUtils.hpp> |
| 14 | #include <armnnUtils/QuantizeHelper.hpp> |
| 15 | #include <armnnTestUtils/TensorCopyUtils.hpp> |
| 16 | #include <armnn/Optional.hpp> |
Teresa Charlin | 1fe6c81 | 2022-11-01 15:59:50 +0000 | [diff] [blame] | 17 | #include <armnn/BackendHelper.hpp> |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 18 | |
| 19 | |
| 20 | template<armnn::DataType ArmnnType, typename T, std::size_t NumDims> |
| 21 | LayerTestResult<T, NumDims> BatchMatMulTestImpl( |
| 22 | armnn::IWorkloadFactory& workloadFactory, |
| 23 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 24 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 25 | armnn::BatchMatMulDescriptor descriptor, |
| 26 | const std::vector<T>& inputX, |
| 27 | const std::vector<T>& inputY, |
| 28 | const std::vector<T>& outputExpected, |
| 29 | const armnn::TensorInfo& inputXInfo, |
| 30 | const armnn::TensorInfo& inputYInfo, |
| 31 | const armnn::TensorInfo& outputInfo) |
| 32 | { |
Teresa Charlin | 1fe6c81 | 2022-11-01 15:59:50 +0000 | [diff] [blame] | 33 | LayerTestResult<T, NumDims> result(outputInfo); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 34 | std::vector<T> outputActual(outputInfo.GetNumElements()); |
| 35 | |
| 36 | std::unique_ptr<armnn::ITensorHandle> inputXHandle = tensorHandleFactory.CreateTensorHandle(inputXInfo); |
| 37 | std::unique_ptr<armnn::ITensorHandle> inputYHandle = tensorHandleFactory.CreateTensorHandle(inputYInfo); |
| 38 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo); |
| 39 | |
| 40 | armnn::BatchMatMulQueueDescriptor queueDescriptor; |
Teresa Charlin | 1fe6c81 | 2022-11-01 15:59:50 +0000 | [diff] [blame] | 41 | queueDescriptor.m_Parameters = std::move(descriptor); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 42 | armnn::WorkloadInfo workloadInfo; |
| 43 | |
| 44 | AddInputToWorkload(queueDescriptor, workloadInfo, inputXInfo, inputXHandle.get()); |
| 45 | AddInputToWorkload(queueDescriptor, workloadInfo, inputYInfo, inputYHandle.get()); |
| 46 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputInfo, outputHandle.get()); |
| 47 | |
Teresa Charlin | 1fe6c81 | 2022-11-01 15:59:50 +0000 | [diff] [blame] | 48 | // Don't execute if BatchMatMul is not supported, as an exception will be raised. |
| 49 | const armnn::BackendId& backend = workloadFactory.GetBackendId(); |
| 50 | std::string reasonIfUnsupported; |
| 51 | armnn::LayerSupportHandle handle = armnn::GetILayerSupportByBackendId(backend); |
| 52 | result.m_Supported = handle.IsBatchMatMulSupported(inputXInfo, |
| 53 | inputYInfo, |
| 54 | outputInfo, |
| 55 | queueDescriptor.m_Parameters, |
| 56 | reasonIfUnsupported); |
| 57 | if (!result.m_Supported) |
| 58 | { |
| 59 | return result; |
| 60 | } |
| 61 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 62 | auto workload = workloadFactory.CreateWorkload(armnn::LayerType::BatchMatMul, queueDescriptor, workloadInfo); |
| 63 | |
| 64 | inputXHandle->Allocate(); |
| 65 | inputYHandle->Allocate(); |
| 66 | outputHandle->Allocate(); |
| 67 | |
| 68 | CopyDataToITensorHandle(inputXHandle.get(), inputX.data()); |
| 69 | CopyDataToITensorHandle(inputYHandle.get(), inputY.data()); |
| 70 | |
| 71 | workload->PostAllocationConfigure(); |
| 72 | ExecuteWorkload(*workload, memoryManager); |
| 73 | |
| 74 | CopyDataFromITensorHandle(outputActual.data(), outputHandle.get()); |
| 75 | |
| 76 | return LayerTestResult<T, NumDims>(outputActual, |
| 77 | outputExpected, |
| 78 | outputHandle->GetShape(), |
| 79 | outputInfo.GetShape()); |
| 80 | } |
| 81 | |
| 82 | template<armnn::DataType ArmnnType, typename T> |
| 83 | LayerTestResult<T, 2> BatchMatMul2DSimpleTest( |
| 84 | armnn::IWorkloadFactory& workloadFactory, |
| 85 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 86 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 87 | { |
| 88 | auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing |
| 89 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 90 | float qScale = 1.0f; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 91 | int32_t qOffset = 0; |
| 92 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 93 | armnn::TensorInfo inputXInfo({2,2}, ArmnnType, qScale, qOffset); |
| 94 | armnn::TensorInfo inputYInfo({2,2}, ArmnnType, qScale, qOffset); |
| 95 | armnn::TensorInfo outputInfo({2,2}, ArmnnType, qScale, qOffset); |
| 96 | |
| 97 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 98 | 1, 2, |
| 99 | 3, 4 |
| 100 | }, qScale, qOffset); |
| 101 | |
| 102 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 103 | 5, 6, |
| 104 | 7, 8 |
| 105 | }, qScale, qOffset); |
| 106 | |
| 107 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 108 | 19, 22, |
| 109 | 43, 50 |
| 110 | }, qScale, qOffset); |
| 111 | |
| 112 | return BatchMatMulTestImpl<ArmnnType, T, 2>(workloadFactory, |
| 113 | memoryManager, |
| 114 | tensorHandleFactory, |
| 115 | descriptor, |
| 116 | inputX, |
| 117 | inputY, |
| 118 | outputExpected, |
| 119 | inputXInfo, |
| 120 | inputYInfo, |
| 121 | outputInfo); |
| 122 | } |
| 123 | |
| 124 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 2> |
| 125 | BatchMatMul2DSimpleTest<armnn::DataType::BFloat16>( |
| 126 | armnn::IWorkloadFactory& workloadFactory, |
| 127 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 128 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 129 | |
| 130 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> |
| 131 | BatchMatMul2DSimpleTest<armnn::DataType::Float32>( |
| 132 | armnn::IWorkloadFactory& workloadFactory, |
| 133 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 134 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 135 | |
| 136 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2> |
| 137 | BatchMatMul2DSimpleTest<armnn::DataType::Float16>( |
| 138 | armnn::IWorkloadFactory& workloadFactory, |
| 139 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 140 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 141 | |
| 142 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2> |
| 143 | BatchMatMul2DSimpleTest<armnn::DataType::QAsymmS8>( |
| 144 | armnn::IWorkloadFactory& workloadFactory, |
| 145 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 146 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 147 | |
| 148 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2> |
| 149 | BatchMatMul2DSimpleTest<armnn::DataType::QAsymmU8>( |
| 150 | armnn::IWorkloadFactory& workloadFactory, |
| 151 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 152 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 153 | |
| 154 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2> |
| 155 | BatchMatMul2DSimpleTest<armnn::DataType::QSymmS16>( |
| 156 | armnn::IWorkloadFactory& workloadFactory, |
| 157 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 158 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 159 | |
| 160 | template<armnn::DataType ArmnnType, typename T> |
| 161 | LayerTestResult<T, 3> BatchMatMul3DSimpleTest( |
| 162 | armnn::IWorkloadFactory& workloadFactory, |
| 163 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 164 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 165 | { |
| 166 | auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing |
| 167 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 168 | float qScale = 1.0f; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 169 | int32_t qOffset = 0; |
| 170 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 171 | armnn::TensorInfo inputXInfo({1,2,2}, ArmnnType, qScale, qOffset); |
| 172 | armnn::TensorInfo inputYInfo({1,2,2}, ArmnnType, qScale, qOffset); |
| 173 | armnn::TensorInfo outputInfo({1,2,2}, ArmnnType, qScale, qOffset); |
| 174 | |
| 175 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 176 | 1, 2, |
| 177 | 3, 4 |
| 178 | }, qScale, qOffset); |
| 179 | |
| 180 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 181 | 5, 6, |
| 182 | 7, 8 |
| 183 | }, qScale, qOffset); |
| 184 | |
| 185 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 186 | 19, 22, |
| 187 | 43, 50 |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 188 | }, qScale, qOffset); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 189 | |
| 190 | return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory, |
| 191 | memoryManager, |
| 192 | tensorHandleFactory, |
| 193 | descriptor, |
| 194 | inputX, |
| 195 | inputY, |
| 196 | outputExpected, |
| 197 | inputXInfo, |
| 198 | inputYInfo, |
| 199 | outputInfo); |
| 200 | } |
| 201 | |
| 202 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3> |
| 203 | BatchMatMul3DSimpleTest<armnn::DataType::BFloat16>( |
| 204 | armnn::IWorkloadFactory& workloadFactory, |
| 205 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 206 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 207 | |
| 208 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3> |
| 209 | BatchMatMul3DSimpleTest<armnn::DataType::Float32>( |
| 210 | armnn::IWorkloadFactory& workloadFactory, |
| 211 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 212 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 213 | |
| 214 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3> |
| 215 | BatchMatMul3DSimpleTest<armnn::DataType::Float16>( |
| 216 | armnn::IWorkloadFactory& workloadFactory, |
| 217 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 218 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 219 | |
| 220 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3> |
| 221 | BatchMatMul3DSimpleTest<armnn::DataType::QAsymmS8>( |
| 222 | armnn::IWorkloadFactory& workloadFactory, |
| 223 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 224 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 225 | |
| 226 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3> |
| 227 | BatchMatMul3DSimpleTest<armnn::DataType::QAsymmU8>( |
| 228 | armnn::IWorkloadFactory& workloadFactory, |
| 229 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 230 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 231 | |
| 232 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3> |
| 233 | BatchMatMul3DSimpleTest<armnn::DataType::QSymmS16>( |
| 234 | armnn::IWorkloadFactory& workloadFactory, |
| 235 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 236 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 237 | |
| 238 | template<armnn::DataType ArmnnType, typename T> |
| 239 | LayerTestResult<T, 4> BatchMatMulNCHWSimpleTest( |
| 240 | armnn::IWorkloadFactory& workloadFactory, |
| 241 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 242 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 243 | { |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 244 | auto descriptor = armnn::BatchMatMulDescriptor(); // Default arbitrary layout is treated the same as NCHW |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 245 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 246 | float qScale = 1.0f; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 247 | int32_t qOffset = 0; |
| 248 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 249 | armnn::TensorInfo inputXInfo({1,1,2,2}, ArmnnType, qScale, qOffset); |
| 250 | armnn::TensorInfo inputYInfo({1,1,2,2}, ArmnnType, qScale, qOffset); |
| 251 | armnn::TensorInfo outputInfo({1,1,2,2}, ArmnnType, qScale, qOffset); |
| 252 | |
| 253 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 254 | 1, 2, |
| 255 | 3, 4 |
| 256 | }, qScale, qOffset); |
| 257 | |
| 258 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 259 | 5, 6, |
| 260 | 7, 8 |
| 261 | }, qScale, qOffset); |
| 262 | |
| 263 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 264 | 19, 22, |
| 265 | 43, 50 |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 266 | }, qScale, qOffset); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 267 | |
| 268 | return BatchMatMulTestImpl<ArmnnType, T, 4>(workloadFactory, |
| 269 | memoryManager, |
| 270 | tensorHandleFactory, |
| 271 | descriptor, |
| 272 | inputX, |
| 273 | inputY, |
| 274 | outputExpected, |
| 275 | inputXInfo, |
| 276 | inputYInfo, |
| 277 | outputInfo); |
| 278 | } |
| 279 | |
| 280 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4> |
| 281 | BatchMatMulNCHWSimpleTest<armnn::DataType::BFloat16>( |
| 282 | armnn::IWorkloadFactory& workloadFactory, |
| 283 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 284 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 285 | |
| 286 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 287 | BatchMatMulNCHWSimpleTest<armnn::DataType::Float32>( |
| 288 | armnn::IWorkloadFactory& workloadFactory, |
| 289 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 290 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 291 | |
| 292 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| 293 | BatchMatMulNCHWSimpleTest<armnn::DataType::Float16>( |
| 294 | armnn::IWorkloadFactory& workloadFactory, |
| 295 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 296 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 297 | |
| 298 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| 299 | BatchMatMulNCHWSimpleTest<armnn::DataType::QAsymmS8>( |
| 300 | armnn::IWorkloadFactory& workloadFactory, |
| 301 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 302 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 303 | |
| 304 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| 305 | BatchMatMulNCHWSimpleTest<armnn::DataType::QAsymmU8>( |
| 306 | armnn::IWorkloadFactory& workloadFactory, |
| 307 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 308 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 309 | |
| 310 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4> |
| 311 | BatchMatMulNCHWSimpleTest<armnn::DataType::QSymmS16>( |
| 312 | armnn::IWorkloadFactory& workloadFactory, |
| 313 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 314 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 315 | |
| 316 | template<armnn::DataType ArmnnType, typename T> |
| 317 | LayerTestResult<T, 4> BatchMatMulNHWCSimpleTest( |
| 318 | armnn::IWorkloadFactory& workloadFactory, |
| 319 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 320 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 321 | { |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 322 | auto descriptor = armnn::BatchMatMulDescriptor(false, |
| 323 | false, |
| 324 | false, |
| 325 | false, |
| 326 | armnn::DataLayout::NHWC, |
| 327 | armnn::DataLayout::NHWC); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 328 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 329 | float qScale = 1.0f; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 330 | int32_t qOffset = 0; |
| 331 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 332 | armnn::TensorInfo inputXInfo({1,2,2,1}, ArmnnType, qScale, qOffset); |
| 333 | armnn::TensorInfo inputYInfo({1,2,2,1}, ArmnnType, qScale, qOffset); |
| 334 | armnn::TensorInfo outputInfo({1,2,2,1}, ArmnnType, qScale, qOffset); |
| 335 | |
| 336 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 337 | 1, 2, |
| 338 | 3, 4 |
| 339 | }, qScale, qOffset); |
| 340 | |
| 341 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 342 | 5, 6, |
| 343 | 7, 8 |
| 344 | }, qScale, qOffset); |
| 345 | |
| 346 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 347 | 19, 22, |
| 348 | 43, 50 |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 349 | }, qScale, qOffset); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 350 | |
| 351 | return BatchMatMulTestImpl<ArmnnType, T, 4>(workloadFactory, |
| 352 | memoryManager, |
| 353 | tensorHandleFactory, |
| 354 | descriptor, |
| 355 | inputX, |
| 356 | inputY, |
| 357 | outputExpected, |
| 358 | inputXInfo, |
| 359 | inputYInfo, |
| 360 | outputInfo); |
| 361 | } |
| 362 | |
| 363 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4> |
| 364 | BatchMatMulNHWCSimpleTest<armnn::DataType::BFloat16>( |
| 365 | armnn::IWorkloadFactory& workloadFactory, |
| 366 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 367 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 368 | |
| 369 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 370 | BatchMatMulNHWCSimpleTest<armnn::DataType::Float32>( |
| 371 | armnn::IWorkloadFactory& workloadFactory, |
| 372 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 373 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 374 | |
| 375 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| 376 | BatchMatMulNHWCSimpleTest<armnn::DataType::Float16>( |
| 377 | armnn::IWorkloadFactory& workloadFactory, |
| 378 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 379 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 380 | |
| 381 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| 382 | BatchMatMulNHWCSimpleTest<armnn::DataType::QAsymmS8>( |
| 383 | armnn::IWorkloadFactory& workloadFactory, |
| 384 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 385 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 386 | |
| 387 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| 388 | BatchMatMulNHWCSimpleTest<armnn::DataType::QAsymmU8>( |
| 389 | armnn::IWorkloadFactory& workloadFactory, |
| 390 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 391 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 392 | |
| 393 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4> |
| 394 | BatchMatMulNHWCSimpleTest<armnn::DataType::QSymmS16>( |
| 395 | armnn::IWorkloadFactory& workloadFactory, |
| 396 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 397 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 398 | |
| 399 | template<armnn::DataType ArmnnType, typename T> |
| 400 | LayerTestResult<T, 3> BatchMatMul3DBatchTest( |
| 401 | armnn::IWorkloadFactory& workloadFactory, |
| 402 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 403 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 404 | { |
| 405 | auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing |
| 406 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 407 | float qScale = 1.0f; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 408 | int32_t qOffset = 0; |
| 409 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 410 | armnn::TensorInfo inputXInfo({2,2,2}, ArmnnType, qScale, qOffset); |
| 411 | armnn::TensorInfo inputYInfo({2,2,2}, ArmnnType, qScale, qOffset); |
| 412 | armnn::TensorInfo outputInfo({2,2,2}, ArmnnType, qScale, qOffset); |
| 413 | |
| 414 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 415 | 1, 2, |
| 416 | 3, 4, |
| 417 | |
| 418 | 9, 10, |
| 419 | 11, 12 |
| 420 | }, qScale, qOffset); |
| 421 | |
| 422 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 423 | 5, 6, |
| 424 | 7, 8, |
| 425 | |
| 426 | 13, 14, |
| 427 | 15, 16 |
| 428 | }, qScale, qOffset); |
| 429 | |
| 430 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 431 | 19, 22, |
| 432 | 43, 50, |
| 433 | |
| 434 | 267, 286, |
| 435 | 323, 346 |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 436 | }, qScale, qOffset); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 437 | |
| 438 | return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory, |
| 439 | memoryManager, |
| 440 | tensorHandleFactory, |
| 441 | descriptor, |
| 442 | inputX, |
| 443 | inputY, |
| 444 | outputExpected, |
| 445 | inputXInfo, |
| 446 | inputYInfo, |
| 447 | outputInfo); |
| 448 | } |
| 449 | |
| 450 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3> |
| 451 | BatchMatMul3DBatchTest<armnn::DataType::BFloat16>( |
| 452 | armnn::IWorkloadFactory& workloadFactory, |
| 453 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 454 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 455 | |
| 456 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3> |
| 457 | BatchMatMul3DBatchTest<armnn::DataType::Float32>( |
| 458 | armnn::IWorkloadFactory& workloadFactory, |
| 459 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 460 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 461 | |
| 462 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3> |
| 463 | BatchMatMul3DBatchTest<armnn::DataType::Float16>( |
| 464 | armnn::IWorkloadFactory& workloadFactory, |
| 465 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 466 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 467 | |
| 468 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3> |
| 469 | BatchMatMul3DBatchTest<armnn::DataType::QAsymmS8>( |
| 470 | armnn::IWorkloadFactory& workloadFactory, |
| 471 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 472 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 473 | |
| 474 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3> |
| 475 | BatchMatMul3DBatchTest<armnn::DataType::QAsymmU8>( |
| 476 | armnn::IWorkloadFactory& workloadFactory, |
| 477 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 478 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 479 | |
| 480 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3> |
| 481 | BatchMatMul3DBatchTest<armnn::DataType::QSymmS16>( |
| 482 | armnn::IWorkloadFactory& workloadFactory, |
| 483 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 484 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 485 | |
| 486 | template<armnn::DataType ArmnnType, typename T> |
| 487 | LayerTestResult<T, 3> BatchMatMul3DBroadcastTest( |
| 488 | armnn::IWorkloadFactory& workloadFactory, |
| 489 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 490 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 491 | { |
| 492 | auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing |
| 493 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 494 | float qScale = 1.0f; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 495 | int32_t qOffset = 0; |
| 496 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 497 | armnn::TensorInfo inputXInfo({2,2,2}, ArmnnType, qScale, qOffset); |
| 498 | armnn::TensorInfo inputYInfo({1,2,2}, ArmnnType, qScale, qOffset); |
| 499 | armnn::TensorInfo outputInfo({2,2,2}, ArmnnType, qScale, qOffset); |
| 500 | |
| 501 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 502 | 1, 2, |
| 503 | 3, 4, |
| 504 | |
| 505 | 9, 10, |
| 506 | 11, 12 |
| 507 | }, qScale, qOffset); |
| 508 | |
| 509 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 510 | 13, 14, |
| 511 | 15, 16 |
| 512 | }, qScale, qOffset); |
| 513 | |
| 514 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 515 | 43, 46, |
| 516 | 99, 106, |
| 517 | |
| 518 | 267, 286, |
| 519 | 323, 346 |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 520 | }, qScale, qOffset); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 521 | |
| 522 | return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory, |
| 523 | memoryManager, |
| 524 | tensorHandleFactory, |
| 525 | descriptor, |
| 526 | inputX, |
| 527 | inputY, |
| 528 | outputExpected, |
| 529 | inputXInfo, |
| 530 | inputYInfo, |
| 531 | outputInfo); |
| 532 | } |
| 533 | |
| 534 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3> |
| 535 | BatchMatMul3DBroadcastTest<armnn::DataType::BFloat16>( |
| 536 | armnn::IWorkloadFactory& workloadFactory, |
| 537 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 538 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 539 | |
| 540 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3> |
| 541 | BatchMatMul3DBroadcastTest<armnn::DataType::Float32>( |
| 542 | armnn::IWorkloadFactory& workloadFactory, |
| 543 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 544 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 545 | |
| 546 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3> |
| 547 | BatchMatMul3DBroadcastTest<armnn::DataType::Float16>( |
| 548 | armnn::IWorkloadFactory& workloadFactory, |
| 549 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 550 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 551 | |
| 552 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3> |
| 553 | BatchMatMul3DBroadcastTest<armnn::DataType::QAsymmS8>( |
| 554 | armnn::IWorkloadFactory& workloadFactory, |
| 555 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 556 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 557 | |
| 558 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3> |
| 559 | BatchMatMul3DBroadcastTest<armnn::DataType::QAsymmU8>( |
| 560 | armnn::IWorkloadFactory& workloadFactory, |
| 561 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 562 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 563 | |
| 564 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3> |
| 565 | BatchMatMul3DBroadcastTest<armnn::DataType::QSymmS16>( |
| 566 | armnn::IWorkloadFactory& workloadFactory, |
| 567 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 568 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 569 | |
| 570 | template<armnn::DataType ArmnnType, typename T> |
| 571 | LayerTestResult<T, 3> BatchMatMul3D2DBroadcastTest( |
| 572 | armnn::IWorkloadFactory& workloadFactory, |
| 573 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 574 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 575 | { |
| 576 | auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing |
| 577 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 578 | float qScale = 1.0f; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 579 | int32_t qOffset = 0; |
| 580 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 581 | armnn::TensorInfo inputXInfo({2,2,2}, ArmnnType, qScale, qOffset); |
| 582 | armnn::TensorInfo inputYInfo({2,2}, ArmnnType, qScale, qOffset); |
| 583 | armnn::TensorInfo outputInfo({2,2,2}, ArmnnType, qScale, qOffset); |
| 584 | |
| 585 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 586 | 1, 2, |
| 587 | 3, 4, |
| 588 | |
| 589 | 9, 10, |
| 590 | 11, 12 |
| 591 | }, qScale, qOffset); |
| 592 | |
| 593 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 594 | 13, 14, |
| 595 | 15, 16 |
| 596 | }, qScale, qOffset); |
| 597 | |
| 598 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 599 | 43, 46, |
| 600 | 99, 106, |
| 601 | |
| 602 | 267, 286, |
| 603 | 323, 346 |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 604 | }, qScale, qOffset); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 605 | |
| 606 | return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory, |
| 607 | memoryManager, |
| 608 | tensorHandleFactory, |
| 609 | descriptor, |
| 610 | inputX, |
| 611 | inputY, |
| 612 | outputExpected, |
| 613 | inputXInfo, |
| 614 | inputYInfo, |
| 615 | outputInfo); |
| 616 | } |
| 617 | |
| 618 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3> |
| 619 | BatchMatMul3D2DBroadcastTest<armnn::DataType::BFloat16>( |
| 620 | armnn::IWorkloadFactory& workloadFactory, |
| 621 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 622 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 623 | |
| 624 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3> |
| 625 | BatchMatMul3D2DBroadcastTest<armnn::DataType::Float32>( |
| 626 | armnn::IWorkloadFactory& workloadFactory, |
| 627 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 628 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 629 | |
| 630 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3> |
| 631 | BatchMatMul3D2DBroadcastTest<armnn::DataType::Float16>( |
| 632 | armnn::IWorkloadFactory& workloadFactory, |
| 633 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 634 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 635 | |
| 636 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3> |
| 637 | BatchMatMul3D2DBroadcastTest<armnn::DataType::QAsymmS8>( |
| 638 | armnn::IWorkloadFactory& workloadFactory, |
| 639 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 640 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 641 | |
| 642 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3> |
| 643 | BatchMatMul3D2DBroadcastTest<armnn::DataType::QAsymmU8>( |
| 644 | armnn::IWorkloadFactory& workloadFactory, |
| 645 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 646 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 647 | |
| 648 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3> |
| 649 | BatchMatMul3D2DBroadcastTest<armnn::DataType::QSymmS16>( |
| 650 | armnn::IWorkloadFactory& workloadFactory, |
| 651 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 652 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 653 | |
| 654 | template<armnn::DataType ArmnnType, typename T> |
| 655 | LayerTestResult<T, 5> BatchMatMulNDHWCNHWCTest( |
| 656 | armnn::IWorkloadFactory& workloadFactory, |
| 657 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 658 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 659 | { |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 660 | auto descriptor = armnn::BatchMatMulDescriptor(false, |
| 661 | false, |
| 662 | false, |
| 663 | false, |
| 664 | armnn::DataLayout::NDHWC, |
| 665 | armnn::DataLayout::NHWC); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 666 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 667 | float qScale = 1.0f; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 668 | int32_t qOffset = 0; |
| 669 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 670 | armnn::TensorInfo inputXInfo({1,1,2,2,2}, ArmnnType, qScale, qOffset); |
| 671 | armnn::TensorInfo inputYInfo({1,2,2,2}, ArmnnType, qScale, qOffset); |
| 672 | armnn::TensorInfo outputInfo({1,1,2,2,2}, ArmnnType, qScale, qOffset); |
| 673 | |
| 674 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 675 | 1, 20, |
| 676 | 3, 22, |
| 677 | |
| 678 | 2, 21, |
| 679 | 4, 23 |
| 680 | }, qScale, qOffset); |
| 681 | |
| 682 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 683 | 5, 24, |
| 684 | 7, 26, |
| 685 | |
| 686 | 6, 25, |
| 687 | 8, 27 |
| 688 | }, qScale, qOffset); |
| 689 | |
| 690 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 691 | 23, 1030, |
| 692 | 31, 1114, |
| 693 | |
| 694 | 34, 1079, |
| 695 | 46, 1167 |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 696 | }, qScale, qOffset); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 697 | |
| 698 | return BatchMatMulTestImpl<ArmnnType, T, 5>(workloadFactory, |
| 699 | memoryManager, |
| 700 | tensorHandleFactory, |
| 701 | descriptor, |
| 702 | inputX, |
| 703 | inputY, |
| 704 | outputExpected, |
| 705 | inputXInfo, |
| 706 | inputYInfo, |
| 707 | outputInfo); |
| 708 | } |
| 709 | |
| 710 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 5> |
| 711 | BatchMatMulNDHWCNHWCTest<armnn::DataType::BFloat16>( |
| 712 | armnn::IWorkloadFactory& workloadFactory, |
| 713 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 714 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 715 | |
| 716 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 5> |
| 717 | BatchMatMulNDHWCNHWCTest<armnn::DataType::Float32>( |
| 718 | armnn::IWorkloadFactory& workloadFactory, |
| 719 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 720 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 721 | |
| 722 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 5> |
| 723 | BatchMatMulNDHWCNHWCTest<armnn::DataType::Float16>( |
| 724 | armnn::IWorkloadFactory& workloadFactory, |
| 725 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 726 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 727 | |
| 728 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 5> |
| 729 | BatchMatMulNDHWCNHWCTest<armnn::DataType::QAsymmS8>( |
| 730 | armnn::IWorkloadFactory& workloadFactory, |
| 731 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 732 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 733 | |
| 734 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 5> |
| 735 | BatchMatMulNDHWCNHWCTest<armnn::DataType::QAsymmU8>( |
| 736 | armnn::IWorkloadFactory& workloadFactory, |
| 737 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 738 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 739 | |
| 740 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 5> |
| 741 | BatchMatMulNDHWCNHWCTest<armnn::DataType::QSymmS16>( |
| 742 | armnn::IWorkloadFactory& workloadFactory, |
| 743 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 744 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 745 | |
| 746 | template<armnn::DataType ArmnnType, typename T> |
| 747 | LayerTestResult<T, 2> BatchMatMul2DTinyTest( |
| 748 | armnn::IWorkloadFactory& workloadFactory, |
| 749 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 750 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 751 | { |
| 752 | auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing |
| 753 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 754 | float qScale = 1.0f; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 755 | int32_t qOffset = 0; |
| 756 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 757 | armnn::TensorInfo inputXInfo({1,1}, ArmnnType, qScale, qOffset); |
| 758 | armnn::TensorInfo inputYInfo({1,1}, ArmnnType, qScale, qOffset); |
| 759 | armnn::TensorInfo outputInfo({1,1}, ArmnnType, qScale, qOffset); |
| 760 | |
| 761 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 762 | 3 |
| 763 | }, qScale, qOffset); |
| 764 | |
| 765 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 766 | 5 |
| 767 | }, qScale, qOffset); |
| 768 | |
| 769 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 770 | 15 |
| 771 | }, qScale, qOffset); |
| 772 | |
| 773 | return BatchMatMulTestImpl<ArmnnType, T, 2>(workloadFactory, |
| 774 | memoryManager, |
| 775 | tensorHandleFactory, |
| 776 | descriptor, |
| 777 | inputX, |
| 778 | inputY, |
| 779 | outputExpected, |
| 780 | inputXInfo, |
| 781 | inputYInfo, |
| 782 | outputInfo); |
| 783 | } |
| 784 | |
| 785 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 2> |
| 786 | BatchMatMul2DTinyTest<armnn::DataType::BFloat16>( |
| 787 | armnn::IWorkloadFactory& workloadFactory, |
| 788 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 789 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 790 | |
| 791 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> |
| 792 | BatchMatMul2DTinyTest<armnn::DataType::Float32>( |
| 793 | armnn::IWorkloadFactory& workloadFactory, |
| 794 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 795 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 796 | |
| 797 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2> |
| 798 | BatchMatMul2DTinyTest<armnn::DataType::Float16>( |
| 799 | armnn::IWorkloadFactory& workloadFactory, |
| 800 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 801 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 802 | |
| 803 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2> |
| 804 | BatchMatMul2DTinyTest<armnn::DataType::QAsymmS8>( |
| 805 | armnn::IWorkloadFactory& workloadFactory, |
| 806 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 807 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 808 | |
| 809 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2> |
| 810 | BatchMatMul2DTinyTest<armnn::DataType::QAsymmU8>( |
| 811 | armnn::IWorkloadFactory& workloadFactory, |
| 812 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 813 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 814 | |
| 815 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2> |
| 816 | BatchMatMul2DTinyTest<armnn::DataType::QSymmS16>( |
| 817 | armnn::IWorkloadFactory& workloadFactory, |
| 818 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 819 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 820 | |
| 821 | template<armnn::DataType ArmnnType, typename T> |
| 822 | LayerTestResult<T, 3> BatchMatMul3DNonSquareTest( |
| 823 | armnn::IWorkloadFactory& workloadFactory, |
| 824 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 825 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 826 | { |
| 827 | auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing |
| 828 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 829 | float qScale = 1.0f; |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 830 | int32_t qOffset = 0; |
| 831 | |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 832 | armnn::TensorInfo inputXInfo({2,5,3}, ArmnnType, qScale, qOffset); |
| 833 | armnn::TensorInfo inputYInfo({2,3,4}, ArmnnType, qScale, qOffset); |
| 834 | armnn::TensorInfo outputInfo({2,5,4}, ArmnnType, qScale, qOffset); |
| 835 | |
| 836 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 837 | 8, 8, 4, |
| 838 | 6, 1, 3, |
| 839 | 8, 8, 3, |
| 840 | 8, 9, 8, |
| 841 | 5, 4, 4, |
| 842 | |
| 843 | 1, 8, 5, |
| 844 | 7, 1, 1, |
| 845 | 8, 7, 9, |
| 846 | 3, 2, 7, |
| 847 | 8, 5, 3 |
| 848 | }, qScale, qOffset); |
| 849 | |
| 850 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 851 | 6, 2, 3, 2, |
| 852 | 6, 2, 2, 8, |
| 853 | 3, 7, 8, 1, |
| 854 | |
| 855 | 7, 2, 9, 5, |
| 856 | 2, 3, 1, 3, |
| 857 | 2, 7, 7, 5 |
| 858 | }, qScale, qOffset); |
| 859 | |
| 860 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 861 | 108, 60, 72, 84, |
| 862 | 51, 35, 44, 23, |
| 863 | 105, 53, 64, 83, |
| 864 | 126, 90, 106, 96, |
| 865 | 66, 46, 55, 46, |
| 866 | |
| 867 | 33, 61, 52, 54, |
| 868 | 53, 24, 71, 43, |
| 869 | 88, 100, 142, 106, |
| 870 | 39, 61, 78, 56, |
| 871 | 72, 52, 98, 70 |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 872 | }, qScale, qOffset); |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 873 | |
| 874 | return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory, |
| 875 | memoryManager, |
| 876 | tensorHandleFactory, |
| 877 | descriptor, |
| 878 | inputX, |
| 879 | inputY, |
| 880 | outputExpected, |
| 881 | inputXInfo, |
| 882 | inputYInfo, |
| 883 | outputInfo); |
| 884 | } |
| 885 | |
| 886 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3> |
| 887 | BatchMatMul3DNonSquareTest<armnn::DataType::BFloat16>( |
| 888 | armnn::IWorkloadFactory& workloadFactory, |
| 889 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 890 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 891 | |
| 892 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3> |
| 893 | BatchMatMul3DNonSquareTest<armnn::DataType::Float32>( |
| 894 | armnn::IWorkloadFactory& workloadFactory, |
| 895 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 896 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 897 | |
| 898 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3> |
| 899 | BatchMatMul3DNonSquareTest<armnn::DataType::Float16>( |
| 900 | armnn::IWorkloadFactory& workloadFactory, |
| 901 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 902 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 903 | |
| 904 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3> |
| 905 | BatchMatMul3DNonSquareTest<armnn::DataType::QAsymmS8>( |
| 906 | armnn::IWorkloadFactory& workloadFactory, |
| 907 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 908 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 909 | |
| 910 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3> |
| 911 | BatchMatMul3DNonSquareTest<armnn::DataType::QAsymmU8>( |
| 912 | armnn::IWorkloadFactory& workloadFactory, |
| 913 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 914 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 915 | |
| 916 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3> |
| 917 | BatchMatMul3DNonSquareTest<armnn::DataType::QSymmS16>( |
| 918 | armnn::IWorkloadFactory& workloadFactory, |
| 919 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 920 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 921 | |
| 922 | template<armnn::DataType ArmnnType, typename T> |
| 923 | LayerTestResult<T, 2> BatchMatMul2DTranspSimpleTest( |
| 924 | armnn::IWorkloadFactory& workloadFactory, |
| 925 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 926 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 927 | { |
| 928 | auto descriptor = armnn::BatchMatMulDescriptor(true, |
| 929 | false, |
| 930 | false, |
| 931 | false); |
| 932 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 933 | float qScale = 1.0f; |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 934 | int32_t qOffset = 0; |
| 935 | |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 936 | armnn::TensorInfo inputXInfo({2,3}, ArmnnType, qScale, qOffset); |
| 937 | armnn::TensorInfo inputYInfo({2,3}, ArmnnType, qScale, qOffset); |
| 938 | armnn::TensorInfo outputInfo({3,3}, ArmnnType, qScale, qOffset); |
| 939 | |
| 940 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 941 | 1, 2, 3, |
| 942 | 4, 5, 6 |
| 943 | }, qScale, qOffset); |
| 944 | |
| 945 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 946 | 7, 8, 9, |
| 947 | 10, 11, 12 |
| 948 | }, qScale, qOffset); |
| 949 | |
| 950 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 951 | 47, 52, 57, |
| 952 | 64, 71, 78, |
| 953 | 81, 90, 99 |
| 954 | }, qScale, qOffset); |
| 955 | |
| 956 | return BatchMatMulTestImpl<ArmnnType, T, 2>(workloadFactory, |
| 957 | memoryManager, |
| 958 | tensorHandleFactory, |
| 959 | descriptor, |
| 960 | inputX, |
| 961 | inputY, |
| 962 | outputExpected, |
| 963 | inputXInfo, |
| 964 | inputYInfo, |
| 965 | outputInfo); |
| 966 | } |
| 967 | |
| 968 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 2> |
| 969 | BatchMatMul2DTranspSimpleTest<armnn::DataType::BFloat16>( |
| 970 | armnn::IWorkloadFactory& workloadFactory, |
| 971 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 972 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 973 | |
| 974 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> |
| 975 | BatchMatMul2DTranspSimpleTest<armnn::DataType::Float32>( |
| 976 | armnn::IWorkloadFactory& workloadFactory, |
| 977 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 978 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 979 | |
| 980 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2> |
| 981 | BatchMatMul2DTranspSimpleTest<armnn::DataType::Float16>( |
| 982 | armnn::IWorkloadFactory& workloadFactory, |
| 983 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 984 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 985 | |
| 986 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2> |
| 987 | BatchMatMul2DTranspSimpleTest<armnn::DataType::QAsymmS8>( |
| 988 | armnn::IWorkloadFactory& workloadFactory, |
| 989 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 990 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 991 | |
| 992 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2> |
| 993 | BatchMatMul2DTranspSimpleTest<armnn::DataType::QAsymmU8>( |
| 994 | armnn::IWorkloadFactory& workloadFactory, |
| 995 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 996 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 997 | |
| 998 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2> |
| 999 | BatchMatMul2DTranspSimpleTest<armnn::DataType::QSymmS16>( |
| 1000 | armnn::IWorkloadFactory& workloadFactory, |
| 1001 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1002 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1003 | |
| 1004 | template<armnn::DataType ArmnnType, typename T> |
| 1005 | LayerTestResult<T, 2> BatchMatMul2DAdjointSimpleTest( |
| 1006 | armnn::IWorkloadFactory& workloadFactory, |
| 1007 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1008 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 1009 | { |
| 1010 | auto descriptor = armnn::BatchMatMulDescriptor(false, |
| 1011 | false, |
| 1012 | true, |
| 1013 | false); |
| 1014 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 1015 | float qScale = 1.0f; |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 1016 | int32_t qOffset = 0; |
| 1017 | |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 1018 | armnn::TensorInfo inputXInfo({3,3}, ArmnnType, qScale, qOffset); |
| 1019 | armnn::TensorInfo inputYInfo({3,3}, ArmnnType, qScale, qOffset); |
| 1020 | armnn::TensorInfo outputInfo({3,3}, ArmnnType, qScale, qOffset); |
| 1021 | |
| 1022 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 1023 | 3, 1, 1, |
| 1024 | 1, 3, -1, |
| 1025 | 2, 4, 1 |
| 1026 | }, qScale, qOffset); |
| 1027 | |
| 1028 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 1029 | 1, 0, 0, |
| 1030 | 0, 1, 0, |
| 1031 | 0, 0, 1 |
| 1032 | }, qScale, qOffset); |
| 1033 | |
| 1034 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 1035 | 7, 3, -4, |
| 1036 | -3, 1, 4, |
| 1037 | -2, -10, 8 |
| 1038 | }, qScale, qOffset); |
| 1039 | |
| 1040 | switch (ArmnnType) |
| 1041 | { |
| 1042 | case armnn::DataType::QAsymmU8: |
| 1043 | outputExpected = armnnUtils::QuantizedVector<T>({ |
| 1044 | 3, 3, 0, |
| 1045 | 0, 1, 1, |
| 1046 | 0, 0, 8 |
| 1047 | }, qScale, qOffset); |
| 1048 | break; |
| 1049 | default: |
| 1050 | break; |
| 1051 | } |
| 1052 | |
| 1053 | return BatchMatMulTestImpl<ArmnnType, T, 2>(workloadFactory, |
| 1054 | memoryManager, |
| 1055 | tensorHandleFactory, |
| 1056 | descriptor, |
| 1057 | inputX, |
| 1058 | inputY, |
| 1059 | outputExpected, |
| 1060 | inputXInfo, |
| 1061 | inputYInfo, |
| 1062 | outputInfo); |
| 1063 | } |
| 1064 | |
| 1065 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 2> |
| 1066 | BatchMatMul2DAdjointSimpleTest<armnn::DataType::BFloat16>( |
| 1067 | armnn::IWorkloadFactory& workloadFactory, |
| 1068 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1069 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1070 | |
| 1071 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> |
| 1072 | BatchMatMul2DAdjointSimpleTest<armnn::DataType::Float32>( |
| 1073 | armnn::IWorkloadFactory& workloadFactory, |
| 1074 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1075 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1076 | |
| 1077 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2> |
| 1078 | BatchMatMul2DAdjointSimpleTest<armnn::DataType::Float16>( |
| 1079 | armnn::IWorkloadFactory& workloadFactory, |
| 1080 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1081 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1082 | |
| 1083 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2> |
| 1084 | BatchMatMul2DAdjointSimpleTest<armnn::DataType::QAsymmS8>( |
| 1085 | armnn::IWorkloadFactory& workloadFactory, |
| 1086 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1087 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1088 | |
| 1089 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2> |
| 1090 | BatchMatMul2DAdjointSimpleTest<armnn::DataType::QAsymmU8>( |
| 1091 | armnn::IWorkloadFactory& workloadFactory, |
| 1092 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1093 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1094 | |
| 1095 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2> |
| 1096 | BatchMatMul2DAdjointSimpleTest<armnn::DataType::QSymmS16>( |
| 1097 | armnn::IWorkloadFactory& workloadFactory, |
| 1098 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1099 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1100 | |
| 1101 | template<armnn::DataType ArmnnType, typename T> |
| 1102 | LayerTestResult<T, 4> BatchMatMulNHWCParamsTest( |
| 1103 | armnn::IWorkloadFactory& workloadFactory, |
| 1104 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1105 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 1106 | { |
| 1107 | auto descriptor = armnn::BatchMatMulDescriptor(false, |
| 1108 | true, |
| 1109 | true, |
| 1110 | false, |
| 1111 | armnn::DataLayout::NHWC, |
| 1112 | armnn::DataLayout::NHWC); |
| 1113 | |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 1114 | float qScale = 1.0f; |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 1115 | int32_t qOffset = 0; |
| 1116 | |
Samuel Yap | dc8ed9d | 2022-08-08 14:07:42 +0100 | [diff] [blame] | 1117 | armnn::TensorInfo inputXInfo({1,4,4,2}, ArmnnType, qScale, qOffset); |
| 1118 | armnn::TensorInfo inputYInfo({2,2,4,1}, ArmnnType, qScale, qOffset); |
| 1119 | armnn::TensorInfo outputInfo({2,4,2,2}, ArmnnType, qScale, qOffset); |
| 1120 | |
| 1121 | std::vector<T> inputX = armnnUtils::QuantizedVector<T>({ |
| 1122 | 1, -3, 1, 4, 4, 9, 1, 2, |
| 1123 | 2, 4, 2, 2, 10, 7, 6, -5, |
| 1124 | 3, 8, 9, 9, 21, 1, 17, 7, |
| 1125 | 5, 11, 11, 8, 29, 3, 23, 6 |
| 1126 | }, qScale, qOffset); |
| 1127 | |
| 1128 | std::vector<T> inputY = armnnUtils::QuantizedVector<T>({ |
| 1129 | 1, 2, 3, 4, |
| 1130 | 5, 6, 7, 8, |
| 1131 | |
| 1132 | 9, 10, 11, 12, |
| 1133 | 13, 14, 15, 16 |
| 1134 | }, qScale, qOffset); |
| 1135 | |
| 1136 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ |
| 1137 | 28, 625, 140, 585, |
| 1138 | 8, 110, -8, 1662, |
| 1139 | -24, 401, -120, 921, |
| 1140 | 12, 131, 108, -501, |
| 1141 | |
| 1142 | 252, 545, 364, 505, |
| 1143 | -24, 3214, -40, 4766, |
| 1144 | -216, 1441, -312, 1961, |
| 1145 | 204, -1133, 300, -1765 |
| 1146 | }, qScale, qOffset); |
| 1147 | |
| 1148 | switch (ArmnnType) |
| 1149 | { |
| 1150 | case armnn::DataType::QAsymmU8: |
| 1151 | outputExpected = armnnUtils::QuantizedVector<T>({ |
| 1152 | 28, 80, 140, 80, |
| 1153 | 8, 45, 0, 255, |
| 1154 | 0, 18, 0, 18, |
| 1155 | 12, 0, 108, 0, |
| 1156 | |
| 1157 | 252, 80, 255, 80, |
| 1158 | 0, 255, 0, 255, |
| 1159 | 0, 18, 0, 18, |
| 1160 | 204, 0, 255, 0 |
| 1161 | }, qScale, qOffset); |
| 1162 | break; |
| 1163 | default: |
| 1164 | break; |
| 1165 | } |
| 1166 | |
| 1167 | return BatchMatMulTestImpl<ArmnnType, T, 4>(workloadFactory, |
| 1168 | memoryManager, |
| 1169 | tensorHandleFactory, |
| 1170 | descriptor, |
| 1171 | inputX, |
| 1172 | inputY, |
| 1173 | outputExpected, |
| 1174 | inputXInfo, |
| 1175 | inputYInfo, |
| 1176 | outputInfo); |
| 1177 | } |
| 1178 | |
| 1179 | template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4> |
| 1180 | BatchMatMulNHWCParamsTest<armnn::DataType::BFloat16>( |
| 1181 | armnn::IWorkloadFactory& workloadFactory, |
| 1182 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1183 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1184 | |
| 1185 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 1186 | BatchMatMulNHWCParamsTest<armnn::DataType::Float32>( |
| 1187 | armnn::IWorkloadFactory& workloadFactory, |
| 1188 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1189 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1190 | |
| 1191 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| 1192 | BatchMatMulNHWCParamsTest<armnn::DataType::Float16>( |
| 1193 | armnn::IWorkloadFactory& workloadFactory, |
| 1194 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1195 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1196 | |
| 1197 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4> |
| 1198 | BatchMatMulNHWCParamsTest<armnn::DataType::QAsymmS8>( |
| 1199 | armnn::IWorkloadFactory& workloadFactory, |
| 1200 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1201 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1202 | |
| 1203 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4> |
| 1204 | BatchMatMulNHWCParamsTest<armnn::DataType::QAsymmU8>( |
| 1205 | armnn::IWorkloadFactory& workloadFactory, |
| 1206 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1207 | const armnn::ITensorHandleFactory& tensorHandleFactory); |
| 1208 | |
| 1209 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4> |
| 1210 | BatchMatMulNHWCParamsTest<armnn::DataType::QSymmS16>( |
| 1211 | armnn::IWorkloadFactory& workloadFactory, |
| 1212 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Samuel Yap | 6b47809 | 2022-07-06 15:36:03 +0100 | [diff] [blame] | 1213 | const armnn::ITensorHandleFactory& tensorHandleFactory); |