Laurent Carlier | 749294b | 2020-06-01 09:03:17 +0100 | [diff] [blame] | 1 | // |
Keith Davis | 69e653f | 2020-07-02 11:49:26 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. 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 | // |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 5 | |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 6 | #include "NeonBackendId.hpp" |
Sadik Armagan | 04a7297 | 2020-09-14 15:44:18 +0100 | [diff] [blame] | 7 | #include "NeonBackendModelContext.hpp" |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 8 | #include "NeonTensorHandle.hpp" |
| 9 | #include "NeonWorkloadFactory.hpp" |
| 10 | |
David Beck | 0dbe0ee | 2018-09-24 15:59:27 +0100 | [diff] [blame] | 11 | #include <Layer.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 12 | |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 13 | #include <armnn/Utils.hpp> |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 14 | #include <armnn/utility/IgnoreUnused.hpp> |
Matthew Sloyan | 171214c | 2020-09-09 09:07:37 +0100 | [diff] [blame] | 15 | #include <armnn/utility/NumericCast.hpp> |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 16 | #include <armnn/utility/PolymorphicDowncast.hpp> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 17 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 18 | #include <backendsCommon/MakeWorkloadHelper.hpp> |
Colm Donelan | 0c47974 | 2021-12-10 12:43:54 +0000 | [diff] [blame] | 19 | #include <armnn/backends/MemCopyWorkload.hpp> |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 20 | #include <backendsCommon/MemImportWorkload.hpp> |
Colm Donelan | 0c47974 | 2021-12-10 12:43:54 +0000 | [diff] [blame] | 21 | #include <armnn/backends/TensorHandle.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 22 | |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 23 | #include <neon/workloads/NeonWorkloadUtils.hpp> |
| 24 | #include <neon/workloads/NeonWorkloads.hpp> |
| 25 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 26 | namespace armnn |
| 27 | { |
| 28 | |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 29 | namespace |
| 30 | { |
| 31 | static const BackendId s_Id{NeonBackendId()}; |
| 32 | } |
| 33 | |
David Beck | 29c75de | 2018-10-23 13:35:58 +0100 | [diff] [blame] | 34 | bool NeonWorkloadFactory::IsLayerSupported(const Layer& layer, |
| 35 | Optional<DataType> dataType, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 36 | std::string& outReasonIfUnsupported) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 37 | { |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 38 | return IWorkloadFactory::IsLayerSupported(s_Id, layer, dataType, outReasonIfUnsupported); |
| 39 | } |
| 40 | |
Sadik Armagan | 04a7297 | 2020-09-14 15:44:18 +0100 | [diff] [blame] | 41 | bool NeonWorkloadFactory::IsLayerSupported(const IConnectableLayer& layer, |
| 42 | Optional<DataType> dataType, |
| 43 | std::string& outReasonIfUnsupported, |
| 44 | const ModelOptions& modelOptions) |
| 45 | { |
| 46 | return IWorkloadFactory::IsLayerSupported(s_Id, layer, dataType, outReasonIfUnsupported, modelOptions); |
| 47 | } |
| 48 | |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 49 | const BackendId& NeonWorkloadFactory::GetBackendId() const |
| 50 | { |
| 51 | return s_Id; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 52 | } |
| 53 | |
Matthew Sloyan | 0a7dc6b | 2021-02-10 16:50:53 +0000 | [diff] [blame] | 54 | void NeonWorkloadFactory::SetNumberOfThreads() |
| 55 | { |
| 56 | if (m_ModelContextPtr) |
| 57 | { |
| 58 | const unsigned int MIN_THREADS = 1; |
| 59 | const unsigned int MAX_THREADS = 64; |
| 60 | |
| 61 | // Set the number of threads to be used if the user has set NumberOfThreads param |
| 62 | // Only set if within limit or valid input |
| 63 | auto modelOptions = dynamic_cast<NeonBackendModelContext*>(m_ModelContextPtr.get()); |
| 64 | auto numberOfThreads = modelOptions->GetNumberOfThreads(); |
| 65 | |
| 66 | if (numberOfThreads != 0 && numberOfThreads >= MIN_THREADS && numberOfThreads <= MAX_THREADS) |
| 67 | { |
| 68 | arm_compute::Scheduler::get().set_num_threads(numberOfThreads); |
| 69 | } |
| 70 | } |
| 71 | } |
| 72 | |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 73 | NeonWorkloadFactory::NeonWorkloadFactory(const std::shared_ptr<NeonMemoryManager>& memoryManager) |
Sadik Armagan | 04a7297 | 2020-09-14 15:44:18 +0100 | [diff] [blame] | 74 | : m_MemoryManager(memoryManager), m_ModelContextPtr(IBackendInternal::IBackendSpecificModelContextPtr{}) |
| 75 | { |
Matthew Sloyan | 0a7dc6b | 2021-02-10 16:50:53 +0000 | [diff] [blame] | 76 | SetNumberOfThreads(); |
Sadik Armagan | 04a7297 | 2020-09-14 15:44:18 +0100 | [diff] [blame] | 77 | } |
| 78 | |
| 79 | NeonWorkloadFactory::NeonWorkloadFactory(const std::shared_ptr<NeonMemoryManager>& memoryManager, |
| 80 | const IBackendInternal::IBackendSpecificModelContextPtr& modelContextPtr) |
| 81 | : m_MemoryManager(memoryManager), m_ModelContextPtr(modelContextPtr) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 82 | { |
Matthew Sloyan | 0a7dc6b | 2021-02-10 16:50:53 +0000 | [diff] [blame] | 83 | SetNumberOfThreads(); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 84 | } |
| 85 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 86 | std::unique_ptr<ITensorHandle> NeonWorkloadFactory::CreateSubTensorHandle(ITensorHandle& parent, |
| 87 | TensorShape const& subTensorShape, |
| 88 | unsigned int const* subTensorOrigin) const |
| 89 | { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 90 | const arm_compute::TensorShape shape = armcomputetensorutils::BuildArmComputeTensorShape(subTensorShape); |
| 91 | |
| 92 | arm_compute::Coordinates coords; |
| 93 | coords.set_num_dimensions(subTensorShape.GetNumDimensions()); |
| 94 | for (unsigned int i = 0; i < subTensorShape.GetNumDimensions(); i++) |
| 95 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 96 | // Arm compute indexes tensor coords in reverse order. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 97 | unsigned int revertedIndex = subTensorShape.GetNumDimensions() - i - 1; |
Matthew Sloyan | 171214c | 2020-09-09 09:07:37 +0100 | [diff] [blame] | 98 | coords.set(i, armnn::numeric_cast<int>(subTensorOrigin[revertedIndex])); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 99 | } |
| 100 | |
Derek Lamberti | 0790dce | 2019-04-15 18:37:35 +0100 | [diff] [blame] | 101 | const arm_compute::TensorShape parentShape = armcomputetensorutils::BuildArmComputeTensorShape(parent.GetShape()); |
| 102 | if (!::arm_compute::error_on_invalid_subtensor(__func__, __FILE__, __LINE__, parentShape, coords, shape)) |
| 103 | { |
| 104 | return nullptr; |
| 105 | } |
| 106 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 107 | return std::make_unique<NeonSubTensorHandle>( |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 108 | PolymorphicDowncast<IAclTensorHandle*>(&parent), shape, coords); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 109 | } |
| 110 | |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 111 | std::unique_ptr<ITensorHandle> NeonWorkloadFactory::CreateTensorHandle(const TensorInfo& tensorInfo, |
| 112 | const bool IsMemoryManaged) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 113 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 114 | auto tensorHandle = std::make_unique<NeonTensorHandle>(tensorInfo); |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 115 | if (IsMemoryManaged) |
| 116 | { |
| 117 | tensorHandle->SetMemoryGroup(m_MemoryManager->GetInterLayerMemoryGroup()); |
| 118 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 119 | return tensorHandle; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 120 | } |
| 121 | |
Francis Murtagh | 351d13d | 2018-09-24 15:01:18 +0100 | [diff] [blame] | 122 | std::unique_ptr<ITensorHandle> NeonWorkloadFactory::CreateTensorHandle(const TensorInfo& tensorInfo, |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 123 | DataLayout dataLayout, |
| 124 | const bool IsMemoryManaged) const |
Francis Murtagh | 351d13d | 2018-09-24 15:01:18 +0100 | [diff] [blame] | 125 | { |
| 126 | auto tensorHandle = std::make_unique<NeonTensorHandle>(tensorInfo, dataLayout); |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 127 | if (IsMemoryManaged) |
| 128 | { |
| 129 | tensorHandle->SetMemoryGroup(m_MemoryManager->GetInterLayerMemoryGroup()); |
| 130 | } |
Francis Murtagh | 351d13d | 2018-09-24 15:01:18 +0100 | [diff] [blame] | 131 | return tensorHandle; |
| 132 | } |
| 133 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 134 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateWorkload(LayerType type, |
| 135 | const QueueDescriptor& descriptor, |
| 136 | const WorkloadInfo& info) const |
| 137 | { |
| 138 | switch(type) |
| 139 | { |
| 140 | case LayerType::Activation : |
| 141 | { |
| 142 | auto activationQueueDescriptor = PolymorphicDowncast<const ActivationQueueDescriptor*>(&descriptor); |
| 143 | return std::make_unique<NeonActivationWorkload>(*activationQueueDescriptor, info); |
| 144 | } |
| 145 | case LayerType::Addition : |
| 146 | { |
| 147 | auto additionQueueDescriptor = PolymorphicDowncast<const AdditionQueueDescriptor*>(&descriptor); |
| 148 | return std::make_unique<NeonAdditionWorkload>(*additionQueueDescriptor, info); |
| 149 | } |
| 150 | case LayerType::ArgMinMax : |
| 151 | { |
| 152 | auto argMinMaxQueueDescriptor = PolymorphicDowncast<const ArgMinMaxQueueDescriptor*>(&descriptor); |
| 153 | return std::make_unique<NeonArgMinMaxWorkload>(*argMinMaxQueueDescriptor, info); |
| 154 | } |
Teresa Charlin | 0f86ecf | 2022-10-13 15:47:08 +0100 | [diff] [blame] | 155 | case LayerType::BatchMatMul : |
| 156 | { |
| 157 | auto batchMatMulQueueDescriptor = PolymorphicDowncast<const BatchMatMulQueueDescriptor*>(&descriptor); |
| 158 | return std::make_unique<NeonBatchMatMulWorkload>(*batchMatMulQueueDescriptor, info); |
| 159 | } |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 160 | case LayerType::BatchNormalization : |
| 161 | { |
| 162 | auto batchNormalizationQueueDescriptor |
| 163 | = PolymorphicDowncast<const BatchNormalizationQueueDescriptor*>(&descriptor); |
| 164 | return std::make_unique<NeonBatchNormalizationWorkload>(*batchNormalizationQueueDescriptor, info); |
| 165 | } |
| 166 | case LayerType::BatchToSpaceNd : |
| 167 | { |
| 168 | auto batchToSpaceNdQueueDescriptor |
| 169 | = PolymorphicDowncast<const BatchToSpaceNdQueueDescriptor*>(&descriptor); |
| 170 | return std::make_unique<NeonBatchToSpaceNdWorkload>(*batchToSpaceNdQueueDescriptor, info); |
| 171 | } |
| 172 | case LayerType::Cast : |
| 173 | { |
| 174 | auto castQueueDescriptor = PolymorphicDowncast<const CastQueueDescriptor*>(&descriptor); |
| 175 | return std::make_unique<NeonCastWorkload>(*castQueueDescriptor, info); |
| 176 | } |
| 177 | case LayerType::ChannelShuffle : |
| 178 | { |
| 179 | auto channelShuffleQueueDescriptor = PolymorphicDowncast<const ChannelShuffleQueueDescriptor*>(&descriptor); |
| 180 | return std::make_unique<NeonChannelShuffleWorkload>(*channelShuffleQueueDescriptor, info); |
| 181 | } |
| 182 | case LayerType::Comparison : |
| 183 | { |
| 184 | auto comparisonQueueDescriptor = PolymorphicDowncast<const ComparisonQueueDescriptor*>(&descriptor); |
| 185 | return std::make_unique<NeonComparisonWorkload>(*comparisonQueueDescriptor, info); |
| 186 | } |
| 187 | case LayerType::Concat : |
| 188 | { |
| 189 | auto concatQueueDescriptor = PolymorphicDowncast<const ConcatQueueDescriptor*>(&descriptor); |
| 190 | return std::make_unique<NeonConcatWorkload>(*concatQueueDescriptor, info); |
| 191 | } |
| 192 | case LayerType::Constant : |
| 193 | { |
| 194 | auto constantQueueDescriptor = PolymorphicDowncast<const ConstantQueueDescriptor*>(&descriptor); |
| 195 | return std::make_unique<NeonConstantWorkload>(*constantQueueDescriptor, info); |
| 196 | } |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 197 | case LayerType::ConvertFp16ToFp32 : |
| 198 | { |
| 199 | auto convertFp16ToFp32QueueDescriptor |
| 200 | = PolymorphicDowncast<const ConvertFp16ToFp32QueueDescriptor*>(&descriptor); |
| 201 | return std::make_unique<NeonConvertFp16ToFp32Workload>(*convertFp16ToFp32QueueDescriptor, info); |
| 202 | } |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 203 | case LayerType::ConvertFp32ToFp16 : |
| 204 | { |
| 205 | auto convertFp32ToFp16QueueDescriptor |
| 206 | = PolymorphicDowncast<const ConvertFp32ToFp16QueueDescriptor*>(&descriptor); |
| 207 | return std::make_unique<NeonConvertFp32ToFp16Workload>(*convertFp32ToFp16QueueDescriptor, info); |
| 208 | } |
| 209 | case LayerType::Convolution2d : |
| 210 | { |
| 211 | auto convolution2dQueueDescriptor = PolymorphicDowncast<const Convolution2dQueueDescriptor*>(&descriptor); |
| 212 | |
| 213 | bool isFastMathEnabled = false; |
| 214 | if (m_ModelContextPtr) |
| 215 | { |
| 216 | if (m_ModelContextPtr.get() != nullptr) |
| 217 | { |
| 218 | auto modelOptions = dynamic_cast<NeonBackendModelContext*>(m_ModelContextPtr.get()); |
| 219 | if (modelOptions) |
| 220 | { |
| 221 | isFastMathEnabled = modelOptions->IsFastMathEnabled(); |
| 222 | } |
| 223 | } |
| 224 | } |
| 225 | return std::make_unique<NeonConvolution2dWorkload>(*convolution2dQueueDescriptor, |
| 226 | info, |
| 227 | m_MemoryManager->GetIntraLayerManager(), |
| 228 | isFastMathEnabled); |
| 229 | } |
| 230 | case LayerType::Convolution3d : |
| 231 | { |
| 232 | auto convolution3dQueueDescriptor = PolymorphicDowncast<const Convolution3dQueueDescriptor*>(&descriptor); |
| 233 | |
| 234 | bool isFastMathEnabled = false; |
| 235 | if (m_ModelContextPtr) |
| 236 | { |
| 237 | if (m_ModelContextPtr.get() != nullptr) |
| 238 | { |
| 239 | auto modelOptions = dynamic_cast<NeonBackendModelContext*>(m_ModelContextPtr.get()); |
| 240 | if (modelOptions) |
| 241 | { |
| 242 | isFastMathEnabled = modelOptions->IsFastMathEnabled(); |
| 243 | } |
| 244 | } |
| 245 | } |
| 246 | return std::make_unique<NeonConvolution3dWorkload>(*convolution3dQueueDescriptor, |
| 247 | info, |
| 248 | m_MemoryManager->GetIntraLayerManager(), |
| 249 | isFastMathEnabled); |
| 250 | } |
| 251 | case LayerType::Debug : |
| 252 | { |
| 253 | auto debugQueueDescriptor = PolymorphicDowncast<const DebugQueueDescriptor*>(&descriptor); |
| 254 | return MakeWorkloadHelper<NullWorkload, NullWorkload>(*debugQueueDescriptor, info); |
| 255 | } |
| 256 | case LayerType::DepthToSpace : |
| 257 | { |
| 258 | auto depthToSpaceQueueDescriptor = PolymorphicDowncast<const DepthToSpaceQueueDescriptor*>(&descriptor); |
| 259 | return std::make_unique<NeonDepthToSpaceWorkload>(*depthToSpaceQueueDescriptor, info); |
| 260 | } |
| 261 | case LayerType::DepthwiseConvolution2d : |
| 262 | { |
| 263 | auto depthwiseConvolution2dQueueDescriptor |
| 264 | = PolymorphicDowncast<const DepthwiseConvolution2dQueueDescriptor*>(&descriptor); |
| 265 | return std::make_unique<NeonDepthwiseConvolutionWorkload>(*depthwiseConvolution2dQueueDescriptor, info); |
| 266 | } |
| 267 | case LayerType::Dequantize : |
| 268 | { |
| 269 | auto dequantizeQueueDescriptor = PolymorphicDowncast<const DequantizeQueueDescriptor*>(&descriptor); |
| 270 | return std::make_unique<NeonDequantizeWorkload>(*dequantizeQueueDescriptor, info); |
| 271 | } |
| 272 | case LayerType::DetectionPostProcess : |
| 273 | { |
| 274 | auto detectionPostProcessQueueDescriptor |
| 275 | = PolymorphicDowncast<const DetectionPostProcessQueueDescriptor*>(&descriptor); |
| 276 | return MakeWorkloadHelper<NullWorkload, NullWorkload>(*detectionPostProcessQueueDescriptor, info); |
| 277 | } |
| 278 | case LayerType::Division : |
| 279 | { |
| 280 | auto divisionQueueDescriptor = PolymorphicDowncast<const DivisionQueueDescriptor*>(&descriptor); |
| 281 | return std::make_unique<NeonDivisionWorkload>(*divisionQueueDescriptor, info); |
| 282 | } |
| 283 | case LayerType::ElementwiseUnary : |
| 284 | { |
| 285 | auto elementwiseUnaryQueueDescriptor |
| 286 | = PolymorphicDowncast<const ElementwiseUnaryQueueDescriptor*>(&descriptor); |
| 287 | |
| 288 | switch(elementwiseUnaryQueueDescriptor->m_Parameters.m_Operation) |
| 289 | { |
| 290 | case UnaryOperation::Abs: |
| 291 | { |
| 292 | AbsQueueDescriptor absQueueDescriptor; |
| 293 | absQueueDescriptor.m_Inputs = elementwiseUnaryQueueDescriptor->m_Inputs; |
| 294 | absQueueDescriptor.m_Outputs = elementwiseUnaryQueueDescriptor->m_Outputs; |
| 295 | |
| 296 | return std::make_unique<NeonAbsWorkload>(absQueueDescriptor, info); |
| 297 | } |
| 298 | case UnaryOperation::Exp: |
| 299 | return std::make_unique<NeonExpWorkload>(*elementwiseUnaryQueueDescriptor, info); |
| 300 | case UnaryOperation::LogicalNot: |
| 301 | return std::make_unique<NeonLogicalNotWorkload>(*elementwiseUnaryQueueDescriptor, info); |
| 302 | case UnaryOperation::Log: |
| 303 | return std::make_unique<NeonLogWorkload>(*elementwiseUnaryQueueDescriptor, info); |
| 304 | case UnaryOperation::Neg: |
| 305 | return std::make_unique<NeonNegWorkload>(*elementwiseUnaryQueueDescriptor, info); |
| 306 | case UnaryOperation::Rsqrt: |
| 307 | { |
| 308 | RsqrtQueueDescriptor rsqrtQueueDescriptor; |
| 309 | rsqrtQueueDescriptor.m_Inputs = elementwiseUnaryQueueDescriptor->m_Inputs; |
| 310 | rsqrtQueueDescriptor.m_Outputs = elementwiseUnaryQueueDescriptor->m_Outputs; |
| 311 | |
| 312 | return std::make_unique<NeonRsqrtWorkload>(rsqrtQueueDescriptor, info); |
| 313 | } |
| 314 | case UnaryOperation::Sin: |
| 315 | return std::make_unique<NeonSinWorkload>(*elementwiseUnaryQueueDescriptor, info); |
Teresa Charlin | 0302723 | 2022-05-09 17:27:08 +0100 | [diff] [blame] | 316 | case UnaryOperation::Sqrt: |
| 317 | return std::make_unique<NeonSqrtWorkload>(*elementwiseUnaryQueueDescriptor, info); |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 318 | default: |
| 319 | return nullptr; |
| 320 | } |
| 321 | } |
| 322 | case LayerType::Fill : |
| 323 | { |
| 324 | auto fillQueueDescriptor = PolymorphicDowncast<const FillQueueDescriptor*>(&descriptor); |
| 325 | return std::make_unique<NeonFillWorkload>(*fillQueueDescriptor, info); |
| 326 | } |
| 327 | case LayerType::Floor : |
| 328 | { |
| 329 | auto floorQueueDescriptor = PolymorphicDowncast<const FloorQueueDescriptor*>(&descriptor); |
| 330 | return MakeWorkloadHelper<NeonFloorFloatWorkload, NullWorkload>(*floorQueueDescriptor, info); |
| 331 | } |
| 332 | case LayerType::FullyConnected : |
| 333 | { |
| 334 | auto fullyConnectedQueueDescriptor = PolymorphicDowncast<const FullyConnectedQueueDescriptor*>(&descriptor); |
| 335 | return std::make_unique<NeonFullyConnectedWorkload>(*fullyConnectedQueueDescriptor, |
| 336 | info, |
| 337 | m_MemoryManager->GetIntraLayerManager()); |
| 338 | } |
| 339 | case LayerType::Gather : |
| 340 | { |
| 341 | auto gatherQueueDescriptor = PolymorphicDowncast<const GatherQueueDescriptor*>(&descriptor); |
| 342 | return std::make_unique<NeonGatherWorkload>(*gatherQueueDescriptor, info); |
| 343 | } |
Teresa Charlin | bd22c7d | 2022-04-26 18:14:12 +0100 | [diff] [blame] | 344 | case LayerType::GatherNd : |
| 345 | { |
| 346 | auto gatherNdQueueDescriptor = PolymorphicDowncast<const GatherNdQueueDescriptor*>(&descriptor); |
| 347 | return std::make_unique<NeonGatherNdWorkload>(*gatherNdQueueDescriptor, info); |
| 348 | } |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 349 | case LayerType::Input : |
| 350 | { |
| 351 | auto inputQueueDescriptor = PolymorphicDowncast<const InputQueueDescriptor*>(&descriptor); |
| 352 | return std::make_unique<CopyMemGenericWorkload>(*inputQueueDescriptor, info); |
| 353 | } |
| 354 | case LayerType::InstanceNormalization : |
| 355 | { |
| 356 | auto instanceNormalizationQueueDescriptor |
| 357 | = PolymorphicDowncast<const InstanceNormalizationQueueDescriptor*>(&descriptor); |
| 358 | return std::make_unique<NeonInstanceNormalizationWorkload>(*instanceNormalizationQueueDescriptor, info); |
| 359 | } |
| 360 | case LayerType::L2Normalization : |
| 361 | { |
| 362 | auto l2NormalizationQueueDescriptor |
| 363 | = PolymorphicDowncast<const L2NormalizationQueueDescriptor*>(&descriptor); |
| 364 | return MakeWorkloadHelper<NeonL2NormalizationFloatWorkload, NullWorkload> |
| 365 | (*l2NormalizationQueueDescriptor, info, m_MemoryManager->GetIntraLayerManager()); |
| 366 | } |
| 367 | case LayerType::LogSoftmax : |
| 368 | { |
| 369 | auto logSoftmaxQueueDescriptor = PolymorphicDowncast<const LogSoftmaxQueueDescriptor*>(&descriptor); |
| 370 | return std::make_unique<NeonLogSoftmaxWorkload>(*logSoftmaxQueueDescriptor, |
| 371 | info, |
| 372 | m_MemoryManager->GetIntraLayerManager()); |
| 373 | } |
| 374 | case LayerType::LogicalBinary : |
| 375 | { |
| 376 | auto logicalBinaryQueueDescriptor = PolymorphicDowncast<const LogicalBinaryQueueDescriptor*>(&descriptor); |
| 377 | |
| 378 | switch(logicalBinaryQueueDescriptor->m_Parameters.m_Operation) |
| 379 | { |
| 380 | case LogicalBinaryOperation::LogicalAnd: |
| 381 | return std::make_unique<NeonLogicalAndWorkload>(*logicalBinaryQueueDescriptor, info); |
| 382 | case LogicalBinaryOperation::LogicalOr: |
| 383 | return std::make_unique<NeonLogicalOrWorkload>(*logicalBinaryQueueDescriptor, info); |
| 384 | default: |
| 385 | return nullptr; |
| 386 | } |
| 387 | } |
| 388 | case LayerType::Lstm : |
| 389 | { |
| 390 | auto lstmQueueDescriptor = PolymorphicDowncast<const LstmQueueDescriptor*>(&descriptor); |
| 391 | return MakeWorkloadHelper<NeonLstmFloatWorkload, NullWorkload>(*lstmQueueDescriptor, info); |
| 392 | } |
| 393 | case LayerType::Maximum : |
| 394 | { |
| 395 | auto maximumQueueDescriptor = PolymorphicDowncast<const MaximumQueueDescriptor*>(&descriptor); |
| 396 | return std::make_unique<NeonMaximumWorkload>(*maximumQueueDescriptor, info); |
| 397 | } |
| 398 | case LayerType::Mean : |
| 399 | { |
| 400 | auto meanQueueDescriptor = PolymorphicDowncast<const MeanQueueDescriptor*>(&descriptor); |
| 401 | return std::make_unique<NeonMeanWorkload>(*meanQueueDescriptor, info); |
| 402 | } |
| 403 | case LayerType::MemCopy : |
| 404 | { |
| 405 | auto memCopyQueueDescriptor = PolymorphicDowncast<const MemCopyQueueDescriptor*>(&descriptor); |
| 406 | if (memCopyQueueDescriptor->m_Inputs.empty() || !memCopyQueueDescriptor->m_Inputs[0]) |
| 407 | { |
| 408 | throw InvalidArgumentException("NeonWorkloadFactory: Invalid null input for MemCopy workload"); |
| 409 | } |
| 410 | return MakeWorkloadHelper<CopyMemGenericWorkload, CopyMemGenericWorkload>(*memCopyQueueDescriptor, info); |
| 411 | } |
| 412 | case LayerType::MemImport : |
| 413 | { |
| 414 | auto memImportQueueDescriptor = PolymorphicDowncast<const MemImportQueueDescriptor*>(&descriptor); |
| 415 | if (memImportQueueDescriptor->m_Inputs.empty() || !memImportQueueDescriptor->m_Inputs[0]) |
| 416 | { |
| 417 | throw InvalidArgumentException("NeonWorkloadFactory: Invalid null input for MemImport workload"); |
| 418 | } |
| 419 | return std::make_unique<ImportMemGenericWorkload>(*memImportQueueDescriptor, info); |
| 420 | } |
| 421 | case LayerType::Minimum : |
| 422 | { |
| 423 | auto minimumQueueDescriptor = PolymorphicDowncast<const MinimumQueueDescriptor*>(&descriptor); |
| 424 | return std::make_unique<NeonMinimumWorkload>(*minimumQueueDescriptor, info); |
| 425 | } |
| 426 | case LayerType::Multiplication : |
| 427 | { |
| 428 | auto multiplicationQueueDescriptor = PolymorphicDowncast<const MultiplicationQueueDescriptor*>(&descriptor); |
| 429 | return std::make_unique<NeonMultiplicationWorkload>(*multiplicationQueueDescriptor, info); |
| 430 | } |
| 431 | case LayerType::Normalization : |
| 432 | { |
| 433 | auto normalizationQueueDescriptor = PolymorphicDowncast<const NormalizationQueueDescriptor*>(&descriptor); |
| 434 | return MakeWorkloadHelper<NeonNormalizationFloatWorkload, NullWorkload> |
| 435 | (*normalizationQueueDescriptor, info, m_MemoryManager->GetIntraLayerManager()); |
| 436 | } |
| 437 | case LayerType::Output : |
| 438 | { |
| 439 | auto outputQueueDescriptor = PolymorphicDowncast<const OutputQueueDescriptor*>(&descriptor); |
| 440 | return std::make_unique<CopyMemGenericWorkload>(*outputQueueDescriptor, info); |
| 441 | } |
| 442 | case LayerType::Pad : |
| 443 | { |
| 444 | auto padQueueDescriptor = PolymorphicDowncast<const PadQueueDescriptor*>(&descriptor); |
| 445 | return std::make_unique<NeonPadWorkload>(*padQueueDescriptor, info); |
| 446 | } |
| 447 | case LayerType::Permute : |
| 448 | { |
| 449 | auto permuteQueueDescriptor = PolymorphicDowncast<const PermuteQueueDescriptor*>(&descriptor); |
| 450 | return std::make_unique<NeonPermuteWorkload>(*permuteQueueDescriptor, info); |
| 451 | } |
| 452 | case LayerType::Pooling2d : |
| 453 | { |
| 454 | auto pooling2dQueueDescriptor = PolymorphicDowncast<const Pooling2dQueueDescriptor*>(&descriptor); |
| 455 | return std::make_unique<NeonPooling2dWorkload>(*pooling2dQueueDescriptor, info); |
| 456 | } |
Ryan OShea | 19e7942 | 2022-05-04 00:38:03 +0100 | [diff] [blame] | 457 | case LayerType::Pooling3d : |
| 458 | { |
| 459 | auto pooling3dQueueDescriptor = PolymorphicDowncast<const Pooling3dQueueDescriptor*>(&descriptor); |
| 460 | return std::make_unique<NeonPooling3dWorkload>(*pooling3dQueueDescriptor, info); |
| 461 | } |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 462 | case LayerType::PreCompiled : |
| 463 | { |
| 464 | auto preCompiledQueueDescriptor = PolymorphicDowncast<const PreCompiledQueueDescriptor*>(&descriptor); |
| 465 | return MakeWorkloadHelper<NullWorkload, NullWorkload>(*preCompiledQueueDescriptor, info); |
| 466 | } |
| 467 | case LayerType::Prelu : |
| 468 | { |
| 469 | auto preluQueueDescriptor = PolymorphicDowncast<const PreluQueueDescriptor*>(&descriptor); |
| 470 | return std::make_unique<NeonPreluWorkload>(*preluQueueDescriptor, info); |
| 471 | } |
| 472 | case LayerType::QLstm : |
| 473 | { |
| 474 | auto qLstmQueueDescriptor = PolymorphicDowncast<const QLstmQueueDescriptor*>(&descriptor); |
| 475 | return std::make_unique<NeonQLstmWorkload>(*qLstmQueueDescriptor, info); |
| 476 | } |
| 477 | case LayerType::Quantize : |
| 478 | { |
| 479 | auto quantizeQueueDescriptor = PolymorphicDowncast<const QuantizeQueueDescriptor*>(&descriptor); |
| 480 | return std::make_unique<NeonQuantizeWorkload>(*quantizeQueueDescriptor, info); |
| 481 | } |
| 482 | case LayerType::QuantizedLstm : |
| 483 | { |
| 484 | auto quantizedLstmQueueDescriptor = PolymorphicDowncast<const QuantizedLstmQueueDescriptor*>(&descriptor); |
| 485 | return std::make_unique<NeonQuantizedLstmWorkload>(*quantizedLstmQueueDescriptor, info); |
| 486 | } |
| 487 | case LayerType::Rank : |
| 488 | { |
| 489 | auto rankQueueDescriptor = PolymorphicDowncast<const RankQueueDescriptor*>(&descriptor); |
| 490 | return std::make_unique<NeonRankWorkload>(*rankQueueDescriptor, info); |
| 491 | } |
| 492 | case LayerType::Reduce : |
| 493 | { |
| 494 | auto reduceQueueDescriptor = PolymorphicDowncast<const ReduceQueueDescriptor*>(&descriptor); |
| 495 | return std::make_unique<NeonReduceWorkload>(*reduceQueueDescriptor, info); |
| 496 | } |
| 497 | case LayerType::Reshape : |
| 498 | { |
| 499 | auto reshapeQueueDescriptor = PolymorphicDowncast<const ReshapeQueueDescriptor*>(&descriptor); |
| 500 | return std::make_unique<NeonReshapeWorkload>(*reshapeQueueDescriptor, info); |
| 501 | } |
| 502 | case LayerType::Resize : |
| 503 | { |
| 504 | auto resizeQueueDescriptor = PolymorphicDowncast<const ResizeQueueDescriptor*>(&descriptor); |
| 505 | return std::make_unique<NeonResizeWorkload>(*resizeQueueDescriptor, info); |
| 506 | } |
| 507 | case LayerType::Slice : |
| 508 | { |
| 509 | auto sliceQueueDescriptor = PolymorphicDowncast<const SliceQueueDescriptor*>(&descriptor); |
| 510 | return std::make_unique<NeonSliceWorkload>(*sliceQueueDescriptor, info); |
| 511 | } |
| 512 | case LayerType::Softmax : |
| 513 | { |
| 514 | auto softmaxQueueDescriptor = PolymorphicDowncast<const SoftmaxQueueDescriptor*>(&descriptor); |
| 515 | return std::make_unique<NeonSoftmaxWorkload>(*softmaxQueueDescriptor, |
| 516 | info, |
| 517 | m_MemoryManager->GetIntraLayerManager()); |
| 518 | } |
| 519 | case LayerType::SpaceToBatchNd : |
| 520 | { |
| 521 | auto spaceToBatchNdQueueDescriptor |
| 522 | = PolymorphicDowncast<const SpaceToBatchNdQueueDescriptor*>(&descriptor); |
| 523 | return std::make_unique<NeonSpaceToBatchNdWorkload>(*spaceToBatchNdQueueDescriptor, info); |
| 524 | } |
| 525 | case LayerType::SpaceToDepth : |
| 526 | { |
| 527 | auto spaceToDepthQueueDescriptor = PolymorphicDowncast<const SpaceToDepthQueueDescriptor*>(&descriptor); |
| 528 | return std::make_unique<NeonSpaceToDepthWorkload>(*spaceToDepthQueueDescriptor, info); |
| 529 | } |
| 530 | case LayerType::Splitter : |
| 531 | { |
| 532 | auto splitterQueueDescriptor = PolymorphicDowncast<const SplitterQueueDescriptor*>(&descriptor); |
| 533 | return std::make_unique<NeonSplitterWorkload>(*splitterQueueDescriptor, info); |
| 534 | } |
| 535 | case LayerType::Stack : |
| 536 | { |
| 537 | auto stackQueueDescriptor = PolymorphicDowncast<const StackQueueDescriptor*>(&descriptor); |
| 538 | return std::make_unique<NeonStackWorkload>(*stackQueueDescriptor, info); |
| 539 | } |
| 540 | case LayerType::StridedSlice : |
| 541 | { |
| 542 | auto stridedSliceQueueDescriptor = PolymorphicDowncast<const StridedSliceQueueDescriptor*>(&descriptor); |
| 543 | return std::make_unique<NeonStridedSliceWorkload>(*stridedSliceQueueDescriptor, info); |
| 544 | } |
| 545 | case LayerType::Subtraction : |
| 546 | { |
| 547 | auto subtractionQueueDescriptor = PolymorphicDowncast<const SubtractionQueueDescriptor*>(&descriptor); |
| 548 | return std::make_unique<NeonSubtractionWorkload>(*subtractionQueueDescriptor, info); |
| 549 | } |
| 550 | case LayerType::Transpose : |
| 551 | { |
| 552 | auto transposeQueueDescriptor = PolymorphicDowncast<const TransposeQueueDescriptor*>(&descriptor); |
| 553 | return std::make_unique<NeonTransposeWorkload>(*transposeQueueDescriptor, info); |
| 554 | } |
| 555 | case LayerType::TransposeConvolution2d : |
| 556 | { |
| 557 | auto transposeConvolution2dQueueDescriptor |
| 558 | = PolymorphicDowncast<const TransposeConvolution2dQueueDescriptor*>(&descriptor); |
| 559 | return std::make_unique<NeonTransposeConvolution2dWorkload>(*transposeConvolution2dQueueDescriptor, |
| 560 | info, |
| 561 | m_MemoryManager->GetIntraLayerManager()); |
| 562 | } |
Cathal Corbett | fd5bec4 | 2022-03-03 15:13:23 +0000 | [diff] [blame] | 563 | case LayerType::UnidirectionalSequenceLstm : |
| 564 | { |
| 565 | auto desc = PolymorphicDowncast<const UnidirectionalSequenceLstmQueueDescriptor*>(&descriptor); |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 566 | |
| 567 | if ((info.m_InputTensorInfos[0].GetDataType() == armnn::DataType::Float32) && |
| 568 | (info.m_InputTensorInfos[1].GetDataType() == armnn::DataType::Float32) && |
| 569 | (info.m_InputTensorInfos[2].GetDataType() == armnn::DataType::Float32) && |
| 570 | (info.m_OutputTensorInfos[0].GetDataType() == armnn::DataType::Float32) && |
| 571 | (info.m_OutputTensorInfos[1].GetDataType() == armnn::DataType::Float32) && |
| 572 | (info.m_OutputTensorInfos[2].GetDataType() == armnn::DataType::Float32)) |
| 573 | { |
| 574 | return std::make_unique<NeonUnidirectionalSequenceLstmFloatWorkload>(*desc, info); |
| 575 | } |
| 576 | else |
| 577 | { |
| 578 | return std::make_unique<NeonUnidirectionalSequenceLstmWorkload>(*desc, info); |
| 579 | } |
Cathal Corbett | fd5bec4 | 2022-03-03 15:13:23 +0000 | [diff] [blame] | 580 | } |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 581 | default: |
| 582 | return nullptr; |
| 583 | } |
| 584 | } |
| 585 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 586 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateActivation(const ActivationQueueDescriptor& descriptor, |
| 587 | const WorkloadInfo& info) const |
| 588 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 589 | return std::make_unique<NeonActivationWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 590 | } |
| 591 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 592 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateAddition(const AdditionQueueDescriptor& descriptor, |
| 593 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 594 | { |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 595 | return std::make_unique<NeonAdditionWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 596 | } |
| 597 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 598 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateArgMinMax(const ArgMinMaxQueueDescriptor& descriptor, |
| 599 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 600 | { |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 601 | return std::make_unique<NeonArgMinMaxWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 602 | } |
| 603 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 604 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateBatchNormalization( |
| 605 | const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| 606 | { |
| 607 | return std::make_unique<NeonBatchNormalizationWorkload>(descriptor, info); |
| 608 | } |
| 609 | |
| 610 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateBatchToSpaceNd(const BatchToSpaceNdQueueDescriptor& descriptor, |
| 611 | const WorkloadInfo& info) const |
| 612 | { |
Mike Kelly | 5685802 | 2020-01-27 12:14:47 +0000 | [diff] [blame] | 613 | return std::make_unique<NeonBatchToSpaceNdWorkload>(descriptor, info); |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 614 | } |
| 615 | |
Sadik Armagan | 48f011e | 2021-04-21 10:50:34 +0100 | [diff] [blame] | 616 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateCast(const CastQueueDescriptor& descriptor, |
| 617 | const WorkloadInfo& info) const |
| 618 | { |
| 619 | return std::make_unique<NeonCastWorkload>(descriptor, info); |
| 620 | } |
| 621 | |
Teresa Charlin | e89dd69 | 2021-09-01 16:30:34 +0100 | [diff] [blame] | 622 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateChannelShuffle(const ChannelShuffleQueueDescriptor& descriptor, |
| 623 | const WorkloadInfo& info) const |
| 624 | { |
| 625 | return std::make_unique<NeonChannelShuffleWorkload>(descriptor, info); |
| 626 | } |
| 627 | |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 628 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateComparison(const ComparisonQueueDescriptor& descriptor, |
| 629 | const WorkloadInfo& info) const |
| 630 | { |
Teresa Charlin | cedd34f | 2020-03-30 11:17:30 +0100 | [diff] [blame] | 631 | return std::make_unique<NeonComparisonWorkload>(descriptor, info); |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 632 | } |
| 633 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 634 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateConcat(const ConcatQueueDescriptor& descriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 635 | const WorkloadInfo& info) const |
| 636 | { |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 637 | return std::make_unique<NeonConcatWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 638 | } |
| 639 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 640 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateConstant(const ConstantQueueDescriptor& descriptor, |
| 641 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 642 | { |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 643 | return std::make_unique<NeonConstantWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 644 | } |
| 645 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 646 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateConvertFp16ToFp32( |
| 647 | const ConvertFp16ToFp32QueueDescriptor& descriptor, |
| 648 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 649 | { |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 650 | return std::make_unique<NeonConvertFp16ToFp32Workload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 651 | } |
| 652 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 653 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateConvertFp32ToFp16( |
| 654 | const ConvertFp32ToFp16QueueDescriptor& descriptor, |
| 655 | const WorkloadInfo& info) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 656 | { |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 657 | return std::make_unique<NeonConvertFp32ToFp16Workload>(descriptor, info); |
Nikhil Raj | 9b46148 | 2019-07-03 15:58:31 +0100 | [diff] [blame] | 658 | } |
| 659 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 660 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateConvolution2d( |
| 661 | const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| 662 | { |
Sadik Armagan | 04a7297 | 2020-09-14 15:44:18 +0100 | [diff] [blame] | 663 | bool isFastMathEnabled = false; |
| 664 | if (m_ModelContextPtr) |
| 665 | { |
| 666 | if (m_ModelContextPtr.get() != nullptr) |
| 667 | { |
| 668 | auto modelOptions = dynamic_cast<NeonBackendModelContext*>(m_ModelContextPtr.get()); |
| 669 | if (modelOptions) |
| 670 | { |
| 671 | isFastMathEnabled = modelOptions->IsFastMathEnabled(); |
| 672 | } |
| 673 | } |
| 674 | } |
| 675 | return std::make_unique<NeonConvolution2dWorkload>(descriptor, |
| 676 | info, |
| 677 | m_MemoryManager->GetIntraLayerManager(), |
| 678 | isFastMathEnabled); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 679 | } |
| 680 | |
Teresa Charlin | ec5f7d1 | 2021-10-22 17:15:00 +0100 | [diff] [blame] | 681 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateConvolution3d( |
| 682 | const Convolution3dQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| 683 | { |
| 684 | bool isFastMathEnabled = false; |
| 685 | if (m_ModelContextPtr) |
| 686 | { |
| 687 | if (m_ModelContextPtr.get() != nullptr) |
| 688 | { |
| 689 | auto modelOptions = dynamic_cast<NeonBackendModelContext*>(m_ModelContextPtr.get()); |
| 690 | if (modelOptions) |
| 691 | { |
| 692 | isFastMathEnabled = modelOptions->IsFastMathEnabled(); |
| 693 | } |
| 694 | } |
| 695 | } |
| 696 | return std::make_unique<NeonConvolution3dWorkload>(descriptor, |
| 697 | info, |
| 698 | m_MemoryManager->GetIntraLayerManager(), |
| 699 | isFastMathEnabled); |
| 700 | } |
| 701 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 702 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateDebug(const DebugQueueDescriptor& descriptor, |
| 703 | const WorkloadInfo& info) const |
| 704 | { |
| 705 | return MakeWorkloadHelper<NullWorkload, NullWorkload>(descriptor, info); |
| 706 | } |
| 707 | |
Aron Virginas-Tar | 2f00b74 | 2019-09-30 13:28:08 +0100 | [diff] [blame] | 708 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateDepthToSpace(const DepthToSpaceQueueDescriptor& descriptor, |
| 709 | const WorkloadInfo& info) const |
| 710 | { |
| 711 | return std::make_unique<NeonDepthToSpaceWorkload>(descriptor, info); |
| 712 | } |
| 713 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 714 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateDepthwiseConvolution2d( |
| 715 | const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| 716 | { |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 717 | return std::make_unique<NeonDepthwiseConvolutionWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 718 | } |
| 719 | |
Narumol Prangnawarat | 01961a7 | 2019-05-30 16:47:12 +0100 | [diff] [blame] | 720 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateDequantize(const DequantizeQueueDescriptor& descriptor, |
| 721 | const WorkloadInfo& info) const |
| 722 | { |
| 723 | return std::make_unique<NeonDequantizeWorkload>(descriptor, info); |
| 724 | } |
| 725 | |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 726 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateDetectionPostProcess( |
| 727 | const armnn::DetectionPostProcessQueueDescriptor& descriptor, const armnn::WorkloadInfo& info) const |
| 728 | { |
James Conroy | d9fb6e2 | 2020-02-21 16:52:44 +0000 | [diff] [blame] | 729 | return MakeWorkloadHelper<NullWorkload, NullWorkload>(descriptor, info); |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 730 | } |
| 731 | |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 732 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateDivision( |
| 733 | const DivisionQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| 734 | { |
Pablo Tello | e61f071 | 2020-01-23 10:37:17 +0000 | [diff] [blame] | 735 | return std::make_unique<NeonDivisionWorkload>(descriptor, info); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 736 | } |
| 737 | |
Sadik Armagan | ac47210 | 2020-03-24 09:54:36 +0000 | [diff] [blame] | 738 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateElementwiseUnary( |
| 739 | const ElementwiseUnaryQueueDescriptor& descriptor, const WorkloadInfo& info) const |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 740 | { |
Derek Lamberti | c77874a | 2020-04-28 13:34:56 +0100 | [diff] [blame] | 741 | switch(descriptor.m_Parameters.m_Operation) |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 742 | { |
Derek Lamberti | c77874a | 2020-04-28 13:34:56 +0100 | [diff] [blame] | 743 | case UnaryOperation::Abs: |
James Conroy | 177df1e | 2020-11-13 10:18:51 +0000 | [diff] [blame] | 744 | { |
| 745 | AbsQueueDescriptor absQueueDescriptor; |
| 746 | absQueueDescriptor.m_Inputs = descriptor.m_Inputs; |
| 747 | absQueueDescriptor.m_Outputs = descriptor.m_Outputs; |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 748 | |
James Conroy | 177df1e | 2020-11-13 10:18:51 +0000 | [diff] [blame] | 749 | return std::make_unique<NeonAbsWorkload>(absQueueDescriptor, info); |
| 750 | } |
Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 751 | case UnaryOperation::Exp: |
| 752 | return std::make_unique<NeonExpWorkload>(descriptor, info); |
| 753 | case UnaryOperation::LogicalNot: |
| 754 | return std::make_unique<NeonLogicalNotWorkload>(descriptor, info); |
| 755 | case UnaryOperation::Log: |
| 756 | return std::make_unique<NeonLogWorkload>(descriptor, info); |
| 757 | case UnaryOperation::Neg: |
| 758 | return std::make_unique<NeonNegWorkload>(descriptor, info); |
Derek Lamberti | c77874a | 2020-04-28 13:34:56 +0100 | [diff] [blame] | 759 | case UnaryOperation::Rsqrt: |
James Conroy | 177df1e | 2020-11-13 10:18:51 +0000 | [diff] [blame] | 760 | { |
| 761 | RsqrtQueueDescriptor rsqrtQueueDescriptor; |
| 762 | rsqrtQueueDescriptor.m_Inputs = descriptor.m_Inputs; |
| 763 | rsqrtQueueDescriptor.m_Outputs = descriptor.m_Outputs; |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 764 | |
James Conroy | 177df1e | 2020-11-13 10:18:51 +0000 | [diff] [blame] | 765 | return std::make_unique<NeonRsqrtWorkload>(rsqrtQueueDescriptor, info); |
| 766 | } |
Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 767 | case UnaryOperation::Sin: |
| 768 | return std::make_unique<NeonSinWorkload>(descriptor, info); |
Derek Lamberti | c77874a | 2020-04-28 13:34:56 +0100 | [diff] [blame] | 769 | default: |
| 770 | return nullptr; |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 771 | } |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 772 | } |
| 773 | |
Sadik Armagan | a792a05 | 2020-06-23 16:22:23 +0100 | [diff] [blame] | 774 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateFill(const FillQueueDescriptor& descriptor, |
| 775 | const WorkloadInfo& info) const |
| 776 | { |
| 777 | return std::make_unique<NeonFillWorkload>(descriptor, info); |
| 778 | } |
| 779 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 780 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateFloor(const FloorQueueDescriptor& descriptor, |
| 781 | const WorkloadInfo& info) const |
| 782 | { |
| 783 | return MakeWorkloadHelper<NeonFloorFloatWorkload, NullWorkload>(descriptor, info); |
| 784 | } |
| 785 | |
| 786 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateFullyConnected( |
| 787 | const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| 788 | { |
Kevin May | be7e35c | 2020-04-29 17:05:05 +0100 | [diff] [blame] | 789 | return std::make_unique<NeonFullyConnectedWorkload>(descriptor, info, m_MemoryManager->GetIntraLayerManager()); |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 790 | } |
| 791 | |
| 792 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateGather(const armnn::GatherQueueDescriptor& descriptor, |
| 793 | const armnn::WorkloadInfo& info) const |
| 794 | { |
Teresa Charlin | f540eb8 | 2020-04-10 19:24:55 +0100 | [diff] [blame] | 795 | return std::make_unique<NeonGatherWorkload>(descriptor, info); |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 796 | } |
| 797 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 798 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateInput(const InputQueueDescriptor& descriptor, |
| 799 | const WorkloadInfo& info) const |
| 800 | { |
| 801 | return std::make_unique<CopyMemGenericWorkload>(descriptor, info); |
| 802 | } |
| 803 | |
| 804 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateInstanceNormalization( |
| 805 | const InstanceNormalizationQueueDescriptor& descriptor, |
| 806 | const WorkloadInfo& info) const |
| 807 | { |
| 808 | return std::make_unique<NeonInstanceNormalizationWorkload>(descriptor, info); |
| 809 | } |
| 810 | |
| 811 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateL2Normalization(const L2NormalizationQueueDescriptor& descriptor, |
| 812 | const WorkloadInfo& info) const |
| 813 | { |
| 814 | return MakeWorkloadHelper<NeonL2NormalizationFloatWorkload, NullWorkload>(descriptor, info, |
| 815 | m_MemoryManager->GetIntraLayerManager()); |
| 816 | } |
| 817 | |
Keith Davis | 69e653f | 2020-07-02 11:49:26 +0100 | [diff] [blame] | 818 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateLogSoftmax(const LogSoftmaxQueueDescriptor& descriptor, |
| 819 | const WorkloadInfo& info) const |
| 820 | { |
| 821 | return std::make_unique<NeonLogSoftmaxWorkload>(descriptor, info, m_MemoryManager->GetIntraLayerManager()); |
| 822 | } |
| 823 | |
James Conroy | 177df1e | 2020-11-13 10:18:51 +0000 | [diff] [blame] | 824 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateLogicalBinary(const LogicalBinaryQueueDescriptor& descriptor, |
| 825 | const WorkloadInfo& info) const |
| 826 | { |
| 827 | switch(descriptor.m_Parameters.m_Operation) |
| 828 | { |
| 829 | case LogicalBinaryOperation::LogicalAnd: |
| 830 | return std::make_unique<NeonLogicalAndWorkload>(descriptor, info); |
| 831 | case LogicalBinaryOperation::LogicalOr: |
| 832 | return std::make_unique<NeonLogicalOrWorkload>(descriptor, info); |
| 833 | default: |
| 834 | return nullptr; |
| 835 | } |
| 836 | } |
| 837 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 838 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateLstm(const LstmQueueDescriptor& descriptor, |
| 839 | const WorkloadInfo& info) const |
| 840 | { |
| 841 | return MakeWorkloadHelper<NeonLstmFloatWorkload, NullWorkload>(descriptor, info); |
| 842 | } |
| 843 | |
| 844 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateMaximum(const MaximumQueueDescriptor& descriptor, |
| 845 | const WorkloadInfo& info) const |
| 846 | { |
| 847 | return std::make_unique<NeonMaximumWorkload>(descriptor, info); |
| 848 | } |
| 849 | |
| 850 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateMean(const MeanQueueDescriptor& descriptor, |
| 851 | const WorkloadInfo& info) const |
| 852 | { |
| 853 | return std::make_unique<NeonMeanWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 854 | } |
| 855 | |
| 856 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateMemCopy(const MemCopyQueueDescriptor& descriptor, |
| 857 | const WorkloadInfo& info) const |
| 858 | { |
| 859 | if (descriptor.m_Inputs.empty() || !descriptor.m_Inputs[0]) |
| 860 | { |
| 861 | throw InvalidArgumentException("NeonWorkloadFactory: Invalid null input for MemCopy workload"); |
| 862 | } |
| 863 | |
Aron Virginas-Tar | a8e06ed | 2018-10-19 16:46:15 +0100 | [diff] [blame] | 864 | return MakeWorkloadHelper<CopyMemGenericWorkload, CopyMemGenericWorkload>(descriptor, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 865 | } |
| 866 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 867 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateMemImport(const MemImportQueueDescriptor& descriptor, |
| 868 | const WorkloadInfo& info) const |
| 869 | { |
| 870 | if (descriptor.m_Inputs.empty() || !descriptor.m_Inputs[0]) |
| 871 | { |
| 872 | throw InvalidArgumentException("NeonWorkloadFactory: Invalid null input for MemImport workload"); |
| 873 | } |
| 874 | |
| 875 | return std::make_unique<ImportMemGenericWorkload>(descriptor, info); |
| 876 | } |
| 877 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 878 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateMinimum(const MinimumQueueDescriptor& descriptor, |
| 879 | const WorkloadInfo& info) const |
| 880 | { |
| 881 | return std::make_unique<NeonMinimumWorkload>(descriptor, info); |
| 882 | } |
| 883 | |
| 884 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateMultiplication( |
| 885 | const MultiplicationQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| 886 | { |
| 887 | return std::make_unique<NeonMultiplicationWorkload>(descriptor, info); |
| 888 | } |
| 889 | |
| 890 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateNormalization( |
| 891 | const NormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| 892 | { |
| 893 | return MakeWorkloadHelper<NeonNormalizationFloatWorkload, NullWorkload>(descriptor, info, |
| 894 | m_MemoryManager->GetIntraLayerManager()); |
| 895 | } |
| 896 | |
| 897 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateOutput(const OutputQueueDescriptor& descriptor, |
Keith Davis | 69e653f | 2020-07-02 11:49:26 +0100 | [diff] [blame] | 898 | const WorkloadInfo& info) const |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 899 | { |
| 900 | return std::make_unique<CopyMemGenericWorkload>(descriptor, info); |
| 901 | } |
| 902 | |
| 903 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreatePad(const PadQueueDescriptor& descriptor, |
| 904 | const WorkloadInfo& info) const |
| 905 | { |
| 906 | return std::make_unique<NeonPadWorkload>(descriptor, info); |
| 907 | } |
| 908 | |
| 909 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreatePermute(const PermuteQueueDescriptor& descriptor, |
Keith Davis | 69e653f | 2020-07-02 11:49:26 +0100 | [diff] [blame] | 910 | const WorkloadInfo& info) const |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 911 | { |
| 912 | return std::make_unique<NeonPermuteWorkload>(descriptor, info); |
| 913 | } |
| 914 | |
| 915 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreatePooling2d(const Pooling2dQueueDescriptor& descriptor, |
Keith Davis | 69e653f | 2020-07-02 11:49:26 +0100 | [diff] [blame] | 916 | const WorkloadInfo& info) const |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 917 | { |
| 918 | return std::make_unique<NeonPooling2dWorkload>(descriptor, info); |
| 919 | } |
| 920 | |
| 921 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreatePreCompiled(const PreCompiledQueueDescriptor& descriptor, |
| 922 | const WorkloadInfo& info) const |
| 923 | { |
| 924 | return MakeWorkloadHelper<NullWorkload, NullWorkload>(descriptor, info); |
| 925 | } |
| 926 | |
| 927 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreatePrelu(const armnn::PreluQueueDescriptor &descriptor, |
| 928 | const armnn::WorkloadInfo &info) const |
| 929 | { |
| 930 | return std::make_unique<NeonPreluWorkload>(descriptor, info); |
| 931 | } |
| 932 | |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 933 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateQLstm(const QLstmQueueDescriptor& descriptor, |
| 934 | const WorkloadInfo& info) const |
| 935 | { |
| 936 | return std::make_unique<NeonQLstmWorkload>(descriptor, info); |
| 937 | } |
| 938 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 939 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateQuantize(const QuantizeQueueDescriptor& descriptor, |
| 940 | const WorkloadInfo& info) const |
| 941 | { |
Kevin May | 9077473 | 2020-03-03 12:10:10 +0000 | [diff] [blame] | 942 | return std::make_unique<NeonQuantizeWorkload>(descriptor, info); |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 943 | } |
| 944 | |
| 945 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateQuantizedLstm(const QuantizedLstmQueueDescriptor& descriptor, |
| 946 | const WorkloadInfo& info) const |
| 947 | { |
| 948 | return std::make_unique<NeonQuantizedLstmWorkload>(descriptor, info); |
| 949 | } |
| 950 | |
David Monahan | 97451b4 | 2020-12-03 09:48:06 +0000 | [diff] [blame] | 951 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateRank(const RankQueueDescriptor& descriptor, |
| 952 | const WorkloadInfo& info) const |
| 953 | { |
| 954 | return std::make_unique<NeonRankWorkload>(descriptor, info); |
| 955 | } |
| 956 | |
Sadik Armagan | a274748 | 2021-02-09 10:28:54 +0000 | [diff] [blame] | 957 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateReduce(const ReduceQueueDescriptor& descriptor, |
| 958 | const WorkloadInfo& info) const |
| 959 | { |
| 960 | return std::make_unique<NeonReduceWorkload>(descriptor, info); |
| 961 | } |
| 962 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 963 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateReshape(const ReshapeQueueDescriptor& descriptor, |
| 964 | const WorkloadInfo& info) const |
| 965 | { |
| 966 | return std::make_unique<NeonReshapeWorkload>(descriptor, info); |
| 967 | } |
| 968 | |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 969 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateResize(const ResizeQueueDescriptor& descriptor, |
| 970 | const WorkloadInfo& info) const |
| 971 | { |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 972 | return std::make_unique<NeonResizeWorkload>(descriptor, info); |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 973 | } |
| 974 | |
josh minor | 036f02d | 2019-11-15 14:53:22 -0600 | [diff] [blame] | 975 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateSlice(const SliceQueueDescriptor& descriptor, |
| 976 | const WorkloadInfo& info) const |
| 977 | { |
| 978 | return std::make_unique<NeonSliceWorkload>(descriptor, info); |
| 979 | } |
| 980 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 981 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateSoftmax(const SoftmaxQueueDescriptor& descriptor, |
| 982 | const WorkloadInfo& info) const |
Sadik Armagan | 581742d | 2019-08-12 14:11:37 +0100 | [diff] [blame] | 983 | { |
Sadik Armagan | be88a57 | 2020-04-30 11:39:37 +0100 | [diff] [blame] | 984 | return std::make_unique<NeonSoftmaxWorkload>(descriptor, info, m_MemoryManager->GetIntraLayerManager()); |
Sadik Armagan | 581742d | 2019-08-12 14:11:37 +0100 | [diff] [blame] | 985 | } |
| 986 | |
Mike Kelly | 0be3a88 | 2020-01-24 11:27:50 +0000 | [diff] [blame] | 987 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateSpaceToBatchNd(const SpaceToBatchNdQueueDescriptor& descriptor, |
| 988 | const WorkloadInfo& info) const |
| 989 | { |
| 990 | return std::make_unique<NeonSpaceToBatchNdWorkload>(descriptor, info); |
| 991 | } |
| 992 | |
| 993 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateSpaceToDepth(const SpaceToDepthQueueDescriptor& descriptor, |
| 994 | const WorkloadInfo& info) const |
narpra01 | b89b05f | 2019-01-16 09:53:09 +0000 | [diff] [blame] | 995 | { |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 996 | return std::make_unique<NeonSpaceToDepthWorkload>(descriptor, info); |
| 997 | } |
| 998 | |
| 999 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateSplitter(const SplitterQueueDescriptor& descriptor, |
| 1000 | const WorkloadInfo& info) const |
| 1001 | { |
| 1002 | return std::make_unique<NeonSplitterWorkload>(descriptor, info); |
narpra01 | b89b05f | 2019-01-16 09:53:09 +0000 | [diff] [blame] | 1003 | } |
| 1004 | |
Matthew Jackson | 87f65ea | 2019-08-01 10:01:34 +0100 | [diff] [blame] | 1005 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateStack(const StackQueueDescriptor& descriptor, |
| 1006 | const WorkloadInfo& info) const |
| 1007 | { |
| 1008 | return std::make_unique<NeonStackWorkload>(descriptor, info); |
| 1009 | } |
| 1010 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 1011 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateStridedSlice(const StridedSliceQueueDescriptor& descriptor, |
| 1012 | const WorkloadInfo& info) const |
James Conroy | d47a064 | 2019-09-17 14:22:06 +0100 | [diff] [blame] | 1013 | { |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 1014 | return std::make_unique<NeonStridedSliceWorkload>(descriptor, info); |
| 1015 | } |
| 1016 | |
| 1017 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateSubtraction( |
| 1018 | const SubtractionQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| 1019 | { |
| 1020 | return std::make_unique<NeonSubtractionWorkload>(descriptor, info); |
| 1021 | } |
| 1022 | |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 1023 | std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateTranspose(const TransposeQueueDescriptor& descriptor, |
| 1024 | const WorkloadInfo& info) const |
| 1025 | { |
| 1026 | return std::make_unique<NeonTransposeWorkload>(descriptor, info); |
| 1027 | } |
| 1028 | |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 1029 | std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateTransposeConvolution2d( |
| 1030 | const TransposeConvolution2dQueueDescriptor &descriptor, |
| 1031 | const WorkloadInfo &info) const |
| 1032 | { |
| 1033 | return std::make_unique<NeonTransposeConvolution2dWorkload>(descriptor, info, |
| 1034 | m_MemoryManager->GetIntraLayerManager()); |
James Conroy | d47a064 | 2019-09-17 14:22:06 +0100 | [diff] [blame] | 1035 | } |
| 1036 | |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 1037 | } // namespace armnn |