telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
Matthew Bentham | 4cefc41 | 2019-06-18 16:14:34 +0100 | [diff] [blame] | 5 | #include <Layer.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 6 | #include <backendsCommon/CpuTensorHandle.hpp> |
| 7 | #include <backendsCommon/MemCopyWorkload.hpp> |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 8 | #include <backendsCommon/MemImportWorkload.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 9 | #include <backendsCommon/MakeWorkloadHelper.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 10 | #include "RefWorkloadFactory.hpp" |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 11 | #include "RefBackendId.hpp" |
David Beck | b4540be | 2018-09-24 13:18:27 +0100 | [diff] [blame] | 12 | #include "workloads/RefWorkloads.hpp" |
Matthew Bentham | 4cefc41 | 2019-06-18 16:14:34 +0100 | [diff] [blame] | 13 | #include "RefTensorHandle.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 14 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 15 | |
| 16 | namespace armnn |
| 17 | { |
| 18 | |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 19 | namespace |
| 20 | { |
| 21 | static const BackendId s_Id{RefBackendId()}; |
| 22 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 23 | template <typename F32Workload, typename U8Workload, typename QueueDescriptorType> |
| 24 | std::unique_ptr<IWorkload> RefWorkloadFactory::MakeWorkload(const QueueDescriptorType& descriptor, |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 25 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 26 | { |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 27 | return MakeWorkloadHelper<NullWorkload, F32Workload, U8Workload, NullWorkload, NullWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 28 | } |
| 29 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 30 | template <DataType ArmnnType> |
| 31 | bool IsDataType(const WorkloadInfo& info) |
Jim Flynn | 82fbe7c | 2019-04-02 15:19:08 +0100 | [diff] [blame] | 32 | { |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 33 | auto checkType = [](const TensorInfo& tensorInfo) {return tensorInfo.GetDataType() == ArmnnType;}; |
| 34 | auto it = std::find_if(std::begin(info.m_InputTensorInfos), std::end(info.m_InputTensorInfos), checkType); |
Jim Flynn | 82fbe7c | 2019-04-02 15:19:08 +0100 | [diff] [blame] | 35 | if (it != std::end(info.m_InputTensorInfos)) |
| 36 | { |
| 37 | return true; |
| 38 | } |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 39 | it = std::find_if(std::begin(info.m_OutputTensorInfos), std::end(info.m_OutputTensorInfos), checkType); |
Jim Flynn | 82fbe7c | 2019-04-02 15:19:08 +0100 | [diff] [blame] | 40 | if (it != std::end(info.m_OutputTensorInfos)) |
| 41 | { |
| 42 | return true; |
| 43 | } |
| 44 | return false; |
| 45 | } |
| 46 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 47 | bool IsFloat16(const WorkloadInfo& info) |
| 48 | { |
| 49 | return IsDataType<DataType::Float16>(info); |
| 50 | } |
| 51 | |
Narumol Prangnawarat | 47cfee9 | 2019-07-04 10:29:00 +0100 | [diff] [blame] | 52 | bool IsQSymm16(const WorkloadInfo& info) |
nikraj01 | 99a6631 | 2019-06-06 10:31:27 +0100 | [diff] [blame] | 53 | { |
Narumol Prangnawarat | 47cfee9 | 2019-07-04 10:29:00 +0100 | [diff] [blame] | 54 | return IsDataType<DataType::QuantisedSymm16>(info); |
nikraj01 | 99a6631 | 2019-06-06 10:31:27 +0100 | [diff] [blame] | 55 | } |
| 56 | |
Matthew Bentham | 7c1603a | 2019-06-21 17:22:23 +0100 | [diff] [blame] | 57 | RefWorkloadFactory::RefWorkloadFactory(const std::shared_ptr<RefMemoryManager>& memoryManager) |
| 58 | : m_MemoryManager(memoryManager) |
| 59 | { |
| 60 | } |
| 61 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 62 | RefWorkloadFactory::RefWorkloadFactory() |
Matthew Bentham | 7c1603a | 2019-06-21 17:22:23 +0100 | [diff] [blame] | 63 | : m_MemoryManager(new RefMemoryManager()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 64 | { |
| 65 | } |
| 66 | |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 67 | const BackendId& RefWorkloadFactory::GetBackendId() const |
| 68 | { |
| 69 | return s_Id; |
| 70 | } |
| 71 | |
David Beck | 29c75de | 2018-10-23 13:35:58 +0100 | [diff] [blame] | 72 | bool RefWorkloadFactory::IsLayerSupported(const Layer& layer, |
| 73 | Optional<DataType> dataType, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 74 | std::string& outReasonIfUnsupported) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 75 | { |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 76 | return IWorkloadFactory::IsLayerSupported(s_Id, layer, dataType, outReasonIfUnsupported); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 77 | } |
| 78 | |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 79 | std::unique_ptr<ITensorHandle> RefWorkloadFactory::CreateTensorHandle(const TensorInfo& tensorInfo, |
| 80 | const bool IsMemoryManaged) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 81 | { |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 82 | // For Ref it is okay to make the TensorHandle memory managed as it can also store a pointer |
| 83 | // to unmanaged memory. This also ensures memory alignment. |
Matthew Bentham | 7c1603a | 2019-06-21 17:22:23 +0100 | [diff] [blame] | 84 | return std::make_unique<RefTensorHandle>(tensorInfo, m_MemoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 85 | } |
| 86 | |
Francis Murtagh | 351d13d | 2018-09-24 15:01:18 +0100 | [diff] [blame] | 87 | std::unique_ptr<ITensorHandle> RefWorkloadFactory::CreateTensorHandle(const TensorInfo& tensorInfo, |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 88 | DataLayout dataLayout, |
| 89 | const bool IsMemoryManaged) const |
Francis Murtagh | 351d13d | 2018-09-24 15:01:18 +0100 | [diff] [blame] | 90 | { |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 91 | // For Ref it is okay to make the TensorHandle memory managed as it can also store a pointer |
| 92 | // to unmanaged memory. This also ensures memory alignment. |
Matthew Bentham | 7c1603a | 2019-06-21 17:22:23 +0100 | [diff] [blame] | 93 | return std::make_unique<RefTensorHandle>(tensorInfo, m_MemoryManager); |
Francis Murtagh | 351d13d | 2018-09-24 15:01:18 +0100 | [diff] [blame] | 94 | } |
| 95 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 96 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateAbs(const AbsQueueDescriptor& descriptor, |
| 97 | const WorkloadInfo& info) const |
| 98 | { |
| 99 | return std::make_unique<RefAbsWorkload>(descriptor, info); |
| 100 | } |
| 101 | |
| 102 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateActivation(const ActivationQueueDescriptor& descriptor, |
| 103 | const WorkloadInfo& info) const |
| 104 | { |
| 105 | return std::make_unique<RefActivationWorkload>(descriptor, info); |
| 106 | } |
| 107 | |
| 108 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateAddition(const AdditionQueueDescriptor& descriptor, |
| 109 | const WorkloadInfo& info) const |
| 110 | { |
| 111 | return std::make_unique<RefAdditionWorkload>(descriptor, info); |
| 112 | } |
| 113 | |
| 114 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateArgMinMax(const ArgMinMaxQueueDescriptor& descriptor, |
| 115 | const WorkloadInfo& info) const |
| 116 | { |
| 117 | return std::make_unique<RefArgMinMaxWorkload>(descriptor, info); |
| 118 | } |
| 119 | |
| 120 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateBatchNormalization( |
| 121 | const BatchNormalizationQueueDescriptor& descriptor, |
| 122 | const WorkloadInfo& info) const |
| 123 | { |
| 124 | return std::make_unique<RefBatchNormalizationWorkload>(descriptor, info); |
| 125 | } |
| 126 | |
| 127 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateBatchToSpaceNd(const BatchToSpaceNdQueueDescriptor& descriptor, |
| 128 | const WorkloadInfo& info) const |
| 129 | { |
| 130 | return std::make_unique<RefBatchToSpaceNdWorkload>(descriptor, info); |
| 131 | } |
| 132 | |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 133 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateComparison(const ComparisonQueueDescriptor& descriptor, |
| 134 | const WorkloadInfo& info) const |
| 135 | { |
| 136 | return std::make_unique<RefComparisonWorkload>(descriptor, info); |
| 137 | } |
| 138 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 139 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConcat(const ConcatQueueDescriptor& descriptor, |
| 140 | const WorkloadInfo& info) const |
| 141 | { |
| 142 | return std::make_unique<RefConcatWorkload>(descriptor, info); |
| 143 | } |
| 144 | |
| 145 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConstant(const ConstantQueueDescriptor& descriptor, |
| 146 | const WorkloadInfo& info) const |
| 147 | { |
| 148 | return std::make_unique<RefConstantWorkload>(descriptor, info); |
| 149 | } |
| 150 | |
| 151 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvertFp16ToFp32( |
| 152 | const ConvertFp16ToFp32QueueDescriptor& descriptor, |
| 153 | const WorkloadInfo& info) const |
| 154 | { |
| 155 | return std::make_unique<RefConvertFp16ToFp32Workload>(descriptor, info); |
| 156 | } |
| 157 | |
| 158 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvertFp32ToFp16( |
| 159 | const ConvertFp32ToFp16QueueDescriptor& descriptor, |
| 160 | const WorkloadInfo& info) const |
| 161 | { |
| 162 | return std::make_unique<RefConvertFp32ToFp16Workload>(descriptor, info); |
| 163 | } |
| 164 | |
| 165 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvolution2d(const Convolution2dQueueDescriptor& descriptor, |
| 166 | const WorkloadInfo& info) const |
| 167 | { |
| 168 | return std::make_unique<RefConvolution2dWorkload>(descriptor, info); |
| 169 | } |
| 170 | |
| 171 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDebug(const DebugQueueDescriptor& descriptor, |
| 172 | const WorkloadInfo& info) const |
| 173 | { |
Aron Virginas-Tar | db1a283 | 2019-11-12 16:15:11 +0000 | [diff] [blame] | 174 | if (IsFloat16(info)) |
| 175 | { |
| 176 | return std::make_unique<RefDebugFloat16Workload>(descriptor, info); |
| 177 | } |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 178 | if (IsQSymm16(info)) |
| 179 | { |
| 180 | return std::make_unique<RefDebugQSymm16Workload>(descriptor, info); |
| 181 | } |
Aron Virginas-Tar | db1a283 | 2019-11-12 16:15:11 +0000 | [diff] [blame] | 182 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 183 | return MakeWorkload<RefDebugFloat32Workload, RefDebugQAsymm8Workload>(descriptor, info); |
| 184 | } |
| 185 | |
| 186 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDepthToSpace(const DepthToSpaceQueueDescriptor& descriptor, |
| 187 | const WorkloadInfo& info) const |
| 188 | { |
| 189 | return std::make_unique<RefDepthToSpaceWorkload>(descriptor, info); |
| 190 | } |
| 191 | |
| 192 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDepthwiseConvolution2d( |
| 193 | const DepthwiseConvolution2dQueueDescriptor& descriptor, |
| 194 | const WorkloadInfo& info) const |
| 195 | { |
| 196 | return std::make_unique<RefDepthwiseConvolution2dWorkload>(descriptor, info); |
| 197 | } |
| 198 | |
| 199 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDequantize(const DequantizeQueueDescriptor& descriptor, |
| 200 | const WorkloadInfo& info) const |
| 201 | { |
| 202 | return std::make_unique<RefDequantizeWorkload>(descriptor, info); |
| 203 | } |
| 204 | |
| 205 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDetectionPostProcess( |
| 206 | const DetectionPostProcessQueueDescriptor& descriptor, |
| 207 | const WorkloadInfo& info) const |
| 208 | { |
| 209 | return std::make_unique<RefDetectionPostProcessWorkload>(descriptor, info); |
| 210 | } |
| 211 | |
| 212 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDivision(const DivisionQueueDescriptor& descriptor, |
| 213 | const WorkloadInfo& info) const |
| 214 | { |
| 215 | return std::make_unique<RefDivisionWorkload>(descriptor, info); |
| 216 | } |
| 217 | |
| 218 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateEqual(const EqualQueueDescriptor& descriptor, |
| 219 | const WorkloadInfo& info) const |
| 220 | { |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 221 | ComparisonQueueDescriptor comparisonDescriptor; |
| 222 | comparisonDescriptor.m_Parameters.m_Operation = ComparisonOperation::Equal; |
| 223 | |
| 224 | return CreateComparison(comparisonDescriptor, info); |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 225 | } |
| 226 | |
| 227 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFakeQuantization( |
| 228 | const FakeQuantizationQueueDescriptor& descriptor, |
| 229 | const WorkloadInfo& info) const |
| 230 | { |
| 231 | return MakeWorkload<RefFakeQuantizationFloat32Workload, NullWorkload>(descriptor, info); |
| 232 | } |
| 233 | |
| 234 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFloor(const FloorQueueDescriptor& descriptor, |
| 235 | const WorkloadInfo& info) const |
| 236 | { |
| 237 | return std::make_unique<RefFloorWorkload>(descriptor, info); |
| 238 | } |
| 239 | |
| 240 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFullyConnected( |
| 241 | const FullyConnectedQueueDescriptor& descriptor, |
| 242 | const WorkloadInfo& info) const |
| 243 | { |
| 244 | return std::make_unique<RefFullyConnectedWorkload>(descriptor, info); |
| 245 | } |
| 246 | |
| 247 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateGather(const GatherQueueDescriptor& descriptor, |
| 248 | const WorkloadInfo& info) const |
| 249 | { |
| 250 | return std::make_unique<RefGatherWorkload>(descriptor, info); |
| 251 | } |
| 252 | |
| 253 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateGreater(const GreaterQueueDescriptor& descriptor, |
| 254 | const WorkloadInfo& info) const |
| 255 | { |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 256 | ComparisonQueueDescriptor comparisonDescriptor; |
| 257 | comparisonDescriptor.m_Parameters.m_Operation = ComparisonOperation::Greater; |
| 258 | |
| 259 | return CreateComparison(comparisonDescriptor, info); |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 260 | } |
| 261 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 262 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateInput(const InputQueueDescriptor& descriptor, |
| 263 | const WorkloadInfo& info) const |
| 264 | { |
| 265 | if (info.m_InputTensorInfos.empty() ) |
| 266 | { |
| 267 | throw InvalidArgumentException("RefWorkloadFactory::CreateInput: Input cannot be zero length"); |
| 268 | } |
| 269 | if (info.m_OutputTensorInfos.empty()) |
| 270 | { |
| 271 | throw InvalidArgumentException("RefWorkloadFactory::CreateInput: Output cannot be zero length"); |
| 272 | } |
| 273 | |
| 274 | if (info.m_InputTensorInfos[0].GetNumBytes() != info.m_OutputTensorInfos[0].GetNumBytes()) |
| 275 | { |
| 276 | throw InvalidArgumentException("RefWorkloadFactory::CreateInput: data input and output differ in byte count."); |
| 277 | } |
| 278 | |
Narumol Prangnawarat | b6441e4 | 2019-06-04 11:22:00 +0100 | [diff] [blame] | 279 | return std::make_unique<CopyMemGenericWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 280 | } |
| 281 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 282 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateInstanceNormalization( |
| 283 | const InstanceNormalizationQueueDescriptor& descriptor, |
| 284 | const WorkloadInfo& info) const |
| 285 | { |
| 286 | return std::make_unique<RefInstanceNormalizationWorkload>(descriptor, info); |
| 287 | } |
| 288 | |
| 289 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateL2Normalization(const L2NormalizationQueueDescriptor& descriptor, |
| 290 | const WorkloadInfo& info) const |
| 291 | { |
| 292 | return std::make_unique<RefL2NormalizationWorkload>(descriptor, info); |
| 293 | } |
| 294 | |
| 295 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateLogSoftmax(const LogSoftmaxQueueDescriptor& descriptor, |
| 296 | const WorkloadInfo& info) const |
| 297 | { |
| 298 | return std::make_unique<RefLogSoftmaxWorkload>(descriptor, info); |
| 299 | } |
| 300 | |
| 301 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateLstm(const LstmQueueDescriptor& descriptor, |
| 302 | const WorkloadInfo& info) const |
| 303 | { |
| 304 | return std::make_unique<RefLstmWorkload>(descriptor, info); |
| 305 | } |
| 306 | |
| 307 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMaximum(const MaximumQueueDescriptor& descriptor, |
| 308 | const WorkloadInfo& info) const |
| 309 | { |
| 310 | return std::make_unique<RefMaximumWorkload>(descriptor, info); |
| 311 | } |
| 312 | |
| 313 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMean(const MeanQueueDescriptor& descriptor, |
| 314 | const WorkloadInfo& info) const |
| 315 | { |
| 316 | return std::make_unique<RefMeanWorkload>(descriptor, info); |
| 317 | } |
| 318 | |
| 319 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMemCopy(const MemCopyQueueDescriptor& descriptor, |
| 320 | const WorkloadInfo& info) const |
| 321 | { |
| 322 | if (descriptor.m_Inputs.empty()) |
| 323 | { |
| 324 | throw InvalidArgumentException("RefWorkloadFactory: CreateMemCopy() expected an input tensor."); |
| 325 | } |
| 326 | return std::make_unique<CopyMemGenericWorkload>(descriptor, info); |
| 327 | } |
| 328 | |
| 329 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMemImport(const MemImportQueueDescriptor& descriptor, |
| 330 | const WorkloadInfo& info) const |
| 331 | { |
| 332 | if (descriptor.m_Inputs.empty()) |
| 333 | { |
| 334 | throw InvalidArgumentException("RefWorkloadFactory: CreateMemImport() expected an input tensor."); |
| 335 | } |
| 336 | return std::make_unique<ImportMemGenericWorkload>(descriptor, info); |
| 337 | } |
| 338 | |
| 339 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMerger(const MergerQueueDescriptor& descriptor, |
| 340 | const WorkloadInfo& info) const |
| 341 | { |
| 342 | return CreateConcat(descriptor, info); |
| 343 | } |
| 344 | |
| 345 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMinimum(const MinimumQueueDescriptor& descriptor, |
| 346 | const WorkloadInfo& info) const |
| 347 | { |
| 348 | return std::make_unique<RefMinimumWorkload>(descriptor, info); |
| 349 | } |
| 350 | |
| 351 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMultiplication(const MultiplicationQueueDescriptor& descriptor, |
| 352 | const WorkloadInfo& info) const |
| 353 | { |
| 354 | return std::make_unique<RefMultiplicationWorkload>(descriptor, info); |
| 355 | } |
| 356 | |
| 357 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateNormalization(const NormalizationQueueDescriptor& descriptor, |
| 358 | const WorkloadInfo& info) const |
| 359 | { |
| 360 | return std::make_unique<RefNormalizationWorkload>(descriptor, info); |
| 361 | } |
| 362 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 363 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateOutput(const OutputQueueDescriptor& descriptor, |
| 364 | const WorkloadInfo& info) const |
| 365 | { |
| 366 | if (info.m_InputTensorInfos.empty() ) |
| 367 | { |
| 368 | throw InvalidArgumentException("RefWorkloadFactory::CreateOutput: Input cannot be zero length"); |
| 369 | } |
| 370 | if (info.m_OutputTensorInfos.empty()) |
| 371 | { |
| 372 | throw InvalidArgumentException("RefWorkloadFactory::CreateOutput: Output cannot be zero length"); |
| 373 | } |
| 374 | if (info.m_InputTensorInfos[0].GetNumBytes() != info.m_OutputTensorInfos[0].GetNumBytes()) |
| 375 | { |
| 376 | throw InvalidArgumentException("RefWorkloadFactory::CreateOutput: data input and output differ in byte count."); |
| 377 | } |
| 378 | |
Narumol Prangnawarat | b6441e4 | 2019-06-04 11:22:00 +0100 | [diff] [blame] | 379 | return std::make_unique<CopyMemGenericWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 380 | } |
| 381 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 382 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePad(const PadQueueDescriptor& descriptor, |
| 383 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 384 | { |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 385 | if (IsQSymm16(info)) |
| 386 | { |
| 387 | return std::make_unique<RefPadQSymm16Workload>(descriptor, info); |
| 388 | } |
| 389 | else if (IsFloat16(info)) |
| 390 | { |
| 391 | return std::make_unique<RefPadFloat16Workload>(descriptor, info); |
| 392 | } |
| 393 | return MakeWorkload<RefPadFloat32Workload, RefPadQAsymm8Workload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 394 | } |
| 395 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 396 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePermute(const PermuteQueueDescriptor& descriptor, |
| 397 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 398 | { |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 399 | if (IsQSymm16(info)) |
| 400 | { |
| 401 | return std::make_unique<RefPermuteQSymm16Workload>(descriptor, info); |
| 402 | } |
| 403 | return MakeWorkloadHelper<RefPermuteFloat16Workload, RefPermuteFloat32Workload, RefPermuteQAsymm8Workload, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 404 | NullWorkload, NullWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 405 | } |
| 406 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 407 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePooling2d(const Pooling2dQueueDescriptor& descriptor, |
| 408 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 409 | { |
Teresa Charlin | a3b2047 | 2019-06-06 11:12:32 +0100 | [diff] [blame] | 410 | return std::make_unique<RefPooling2dWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 411 | } |
| 412 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 413 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePreCompiled(const PreCompiledQueueDescriptor& descriptor, |
| 414 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 415 | { |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 416 | return nullptr; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 417 | } |
| 418 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 419 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePrelu(const PreluQueueDescriptor& descriptor, |
| 420 | const WorkloadInfo& info) const |
Aron Virginas-Tar | 73f6642 | 2019-09-23 19:11:59 +0100 | [diff] [blame] | 421 | { |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 422 | return std::make_unique<RefPreluWorkload>(descriptor, info); |
Aron Virginas-Tar | 73f6642 | 2019-09-23 19:11:59 +0100 | [diff] [blame] | 423 | } |
| 424 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 425 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateQuantize(const QuantizeQueueDescriptor& descriptor, |
| 426 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 427 | { |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 428 | return std::make_unique<RefQuantizeWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 429 | } |
| 430 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 431 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateReshape(const ReshapeQueueDescriptor& descriptor, |
| 432 | const WorkloadInfo& info) const |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 433 | { |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 434 | return std::make_unique<RefReshapeWorkload>(descriptor, info); |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 435 | } |
| 436 | |
Teresa Charlin | 970f43b | 2019-07-01 13:51:07 +0100 | [diff] [blame] | 437 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateResize(const ResizeQueueDescriptor& descriptor, |
| 438 | const WorkloadInfo& info) const |
| 439 | { |
Teresa Charlin | 970f43b | 2019-07-01 13:51:07 +0100 | [diff] [blame] | 440 | return std::make_unique<RefResizeWorkload>(descriptor, info); |
| 441 | } |
| 442 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 443 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateResizeBilinear(const ResizeBilinearQueueDescriptor& descriptor, |
| 444 | const WorkloadInfo& info) const |
| 445 | { |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 446 | ResizeQueueDescriptor resizeDescriptor; |
| 447 | resizeDescriptor.m_Parameters.m_Method = ResizeMethod::Bilinear; |
| 448 | resizeDescriptor.m_Parameters.m_DataLayout = descriptor.m_Parameters.m_DataLayout; |
| 449 | resizeDescriptor.m_Parameters.m_TargetWidth = descriptor.m_Parameters.m_TargetWidth; |
| 450 | resizeDescriptor.m_Parameters.m_TargetHeight = descriptor.m_Parameters.m_TargetHeight; |
| 451 | |
| 452 | return CreateResize(resizeDescriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 453 | } |
| 454 | |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 455 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateRsqrt(const RsqrtQueueDescriptor& descriptor, |
| 456 | const WorkloadInfo& info) const |
| 457 | { |
nikraj01 | 99a6631 | 2019-06-06 10:31:27 +0100 | [diff] [blame] | 458 | return std::make_unique<RefRsqrtWorkload>(descriptor, info); |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 459 | } |
| 460 | |
Aron Virginas-Tar | 92b9f87 | 2019-09-17 17:27:04 +0100 | [diff] [blame] | 461 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSlice(const SliceQueueDescriptor& descriptor, |
| 462 | const WorkloadInfo& info) const |
| 463 | { |
| 464 | return std::make_unique<RefSliceWorkload>(descriptor, info); |
| 465 | } |
| 466 | |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 467 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSoftmax(const SoftmaxQueueDescriptor& descriptor, |
| 468 | const WorkloadInfo& info) const |
Kevin May | 09ca49c | 2019-10-09 12:37:34 +0100 | [diff] [blame] | 469 | { |
Aron Virginas-Tar | e662a94 | 2019-10-14 15:12:00 +0100 | [diff] [blame] | 470 | return std::make_unique<RefSoftmaxWorkload>(descriptor, info); |
| 471 | } |
| 472 | |
| 473 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSpaceToBatchNd(const SpaceToBatchNdQueueDescriptor& descriptor, |
| 474 | const WorkloadInfo& info) const |
| 475 | { |
| 476 | return std::make_unique<RefSpaceToBatchNdWorkload>(descriptor, info); |
| 477 | } |
| 478 | |
| 479 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSpaceToDepth(const SpaceToDepthQueueDescriptor& descriptor, |
| 480 | const WorkloadInfo& info) const |
| 481 | { |
| 482 | return std::make_unique<RefSpaceToDepthWorkload>(descriptor, info); |
| 483 | } |
| 484 | |
| 485 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSplitter(const SplitterQueueDescriptor& descriptor, |
| 486 | const WorkloadInfo& info) const |
| 487 | { |
| 488 | return std::make_unique<RefSplitterWorkload>(descriptor, info); |
| 489 | } |
| 490 | |
| 491 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateStack(const StackQueueDescriptor& descriptor, |
| 492 | const WorkloadInfo& info) const |
| 493 | { |
| 494 | return std::make_unique<RefStackWorkload>(descriptor, info); |
| 495 | } |
| 496 | |
| 497 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateStridedSlice(const StridedSliceQueueDescriptor& descriptor, |
| 498 | const WorkloadInfo& info) const |
| 499 | { |
| 500 | return std::make_unique<RefStridedSliceWorkload>(descriptor, info); |
| 501 | } |
| 502 | |
| 503 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSubtraction(const SubtractionQueueDescriptor& descriptor, |
| 504 | const WorkloadInfo& info) const |
| 505 | { |
| 506 | return std::make_unique<RefSubtractionWorkload>(descriptor, info); |
| 507 | } |
| 508 | |
| 509 | std::unique_ptr<IWorkload> RefWorkloadFactory::CreateTransposeConvolution2d( |
| 510 | const TransposeConvolution2dQueueDescriptor& descriptor, |
| 511 | const WorkloadInfo& info) const |
| 512 | { |
| 513 | return std::make_unique<RefTransposeConvolution2dWorkload>(descriptor, info); |
Kevin May | 09ca49c | 2019-10-09 12:37:34 +0100 | [diff] [blame] | 514 | } |
| 515 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 516 | } // namespace armnn |