Laurent Carlier | 749294b | 2020-06-01 09:03:17 +0100 | [diff] [blame] | 1 | // |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +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 | // |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 5 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6 | #include "Network.hpp" |
| 7 | #include "Graph.hpp" |
| 8 | #include "Layer.hpp" |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 9 | #include "DeviceSpec.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 10 | #include "Optimizer.hpp" |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 11 | #include "SubgraphViewSelector.hpp" |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 12 | #include "BackendSettings.hpp" |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame] | 13 | #include "optimizations/All.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 14 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 15 | #include <backendsCommon/TensorHandle.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 16 | #include <backendsCommon/WorkloadFactory.hpp> |
Matteo Martincigh | e5b8eb9 | 2019-11-28 15:45:42 +0000 | [diff] [blame] | 17 | #include <armnn/backends/IBackendInternal.hpp> |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 18 | #include <backendsCommon/TensorHandleFactoryRegistry.hpp> |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame] | 19 | |
| 20 | #include <armnn/Exceptions.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 21 | #include <armnn/Utils.hpp> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 22 | #include <armnn/TypesUtils.hpp> |
Matteo Martincigh | c601aa6 | 2019-10-29 15:03:22 +0000 | [diff] [blame] | 23 | #include <armnn/BackendRegistry.hpp> |
Matthew Bentham | f48afc6 | 2020-01-15 17:55:08 +0000 | [diff] [blame] | 24 | #include <armnn/Logging.hpp> |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 25 | #include <armnn/utility/Assert.hpp> |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 26 | #include <armnn/utility/IgnoreUnused.hpp> |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 27 | #include <armnn/utility/PolymorphicDowncast.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 28 | |
Jan Eilers | 99d9d4a | 2019-11-06 10:02:16 +0000 | [diff] [blame] | 29 | #include <ProfilingService.hpp> |
| 30 | |
Nikhil Raj | 77fe76b | 2021-06-09 14:55:32 +0100 | [diff] [blame] | 31 | #include <common/include/ProfilingGuid.hpp> |
| 32 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 33 | #include <fmt/format.h> |
| 34 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 35 | #include <fcntl.h> |
| 36 | #include <algorithm> |
| 37 | #include <fstream> |
| 38 | #include <memory> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 39 | #include <vector> |
| 40 | #include <algorithm> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 41 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 42 | namespace armnn |
| 43 | { |
| 44 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 45 | INetwork::INetwork(NetworkOptions networkOptions) : pNetworkImpl(new NetworkImpl(networkOptions)) {} |
| 46 | |
| 47 | INetwork::~INetwork() = default; |
| 48 | |
| 49 | Status INetwork::PrintGraph() |
| 50 | { |
| 51 | return pNetworkImpl->PrintGraph(); |
| 52 | } |
| 53 | |
| 54 | IConnectableLayer* INetwork::AddInputLayer(LayerBindingId id, const char* name) |
| 55 | { |
| 56 | return pNetworkImpl->AddInputLayer(id, name); |
| 57 | } |
| 58 | |
| 59 | |
| 60 | IConnectableLayer* INetwork::AddArgMinMaxLayer(const ArgMinMaxDescriptor& desc, |
| 61 | const char* name) |
| 62 | { |
| 63 | return pNetworkImpl->AddArgMinMaxLayer(desc, name); |
| 64 | } |
| 65 | |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 66 | IConnectableLayer* INetwork::AddCastLayer(const char* name) |
| 67 | { |
| 68 | return pNetworkImpl->AddCastLayer(name); |
| 69 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 70 | |
| 71 | IConnectableLayer* INetwork::AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor, |
| 72 | const char* name) |
| 73 | { |
| 74 | return pNetworkImpl->AddComparisonLayer(comparisonDescriptor, name); |
| 75 | } |
| 76 | |
| 77 | |
| 78 | IConnectableLayer* INetwork::AddConcatLayer(const ConcatDescriptor& concatDescriptor, |
| 79 | const char* name) |
| 80 | { |
| 81 | return pNetworkImpl->AddConcatLayer(concatDescriptor, name); |
| 82 | } |
| 83 | |
| 84 | |
| 85 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 86 | const ConstTensor& weights, |
| 87 | const Optional<ConstTensor>& biases, |
| 88 | const char* name) |
| 89 | { |
| 90 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 91 | } |
| 92 | |
| 93 | |
| 94 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 95 | const ConstTensor& weights, |
| 96 | const char* name) |
| 97 | { |
| 98 | Optional<ConstTensor> biases; |
| 99 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 100 | } |
| 101 | |
| 102 | |
| 103 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 104 | const ConstTensor& weights, |
| 105 | const ConstTensor& biases, |
| 106 | const char* name ) |
| 107 | { |
| 108 | |
| 109 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, |
| 110 | weights, |
| 111 | armnn::Optional<ConstTensor>(biases), |
| 112 | name); |
| 113 | } |
| 114 | |
| 115 | |
| 116 | IConnectableLayer* INetwork::AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor, |
| 117 | const char* name) |
| 118 | { |
| 119 | return pNetworkImpl->AddDepthToSpaceLayer(depthToSpaceDescriptor, name); |
| 120 | } |
| 121 | |
| 122 | |
| 123 | IConnectableLayer* INetwork::AddDepthwiseConvolution2dLayer( |
| 124 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 125 | const ConstTensor& weights, |
| 126 | const Optional<ConstTensor>& biases, |
| 127 | const char* name) |
| 128 | { |
| 129 | return pNetworkImpl->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 130 | } |
| 131 | |
| 132 | |
| 133 | IConnectableLayer* INetwork::AddDepthwiseConvolution2dLayer( |
| 134 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 135 | const ConstTensor& weights, |
| 136 | const char* name) |
| 137 | { |
| 138 | Optional<ConstTensor> biases; |
| 139 | return pNetworkImpl->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 140 | } |
| 141 | |
| 142 | |
| 143 | IConnectableLayer* INetwork::AddDepthwiseConvolution2dLayer( |
| 144 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 145 | const ConstTensor& weights, |
| 146 | const ConstTensor& biases, |
| 147 | const char* name) |
| 148 | { |
| 149 | return pNetworkImpl->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights, |
| 150 | armnn::Optional<ConstTensor>(biases), name); |
| 151 | } |
| 152 | |
| 153 | |
| 154 | IConnectableLayer* INetwork::AddDequantizeLayer(const char* name) |
| 155 | { |
| 156 | return pNetworkImpl->AddDequantizeLayer(name); |
| 157 | } |
| 158 | |
| 159 | |
| 160 | IConnectableLayer* INetwork::AddDetectionPostProcessLayer( |
| 161 | const DetectionPostProcessDescriptor& descriptor, |
| 162 | const ConstTensor& anchors, |
| 163 | const char* name) |
| 164 | { |
| 165 | return pNetworkImpl->AddDetectionPostProcessLayer(descriptor, anchors, name); |
| 166 | } |
| 167 | |
| 168 | |
| 169 | IConnectableLayer* INetwork::AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& elementwiseUnaryDescriptor, |
| 170 | const char* name) |
| 171 | { |
| 172 | return pNetworkImpl->AddElementwiseUnaryLayer(elementwiseUnaryDescriptor, name); |
| 173 | } |
| 174 | |
| 175 | |
| 176 | IConnectableLayer* INetwork::AddFillLayer(const FillDescriptor& fillDescriptor, |
| 177 | const char* name) |
| 178 | { |
| 179 | return pNetworkImpl->AddFillLayer(fillDescriptor, name); |
| 180 | } |
| 181 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 182 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 183 | const char* name) |
| 184 | { |
| 185 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, name); |
| 186 | } |
| 187 | |
| 188 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 189 | const ConstTensor& weights, |
| 190 | const Optional<ConstTensor>& biases, |
| 191 | const char* name) |
| 192 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 193 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, |
| 194 | armnn::Optional<ConstTensor>(weights), |
| 195 | biases, |
| 196 | name); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 197 | } |
| 198 | |
| 199 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 200 | const Optional<ConstTensor>& weights, |
| 201 | const Optional<ConstTensor>& biases, |
| 202 | const char* name) |
| 203 | { |
| 204 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, weights, biases, name); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 205 | } |
| 206 | |
| 207 | IConnectableLayer* INetwork::AddPermuteLayer(const PermuteDescriptor& permuteDescriptor, |
| 208 | const char* name) |
| 209 | { |
| 210 | return pNetworkImpl->AddPermuteLayer(permuteDescriptor, name); |
| 211 | } |
| 212 | |
| 213 | IConnectableLayer* INetwork::AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor& batchToSpaceNdDescriptor, |
| 214 | const char* name) |
| 215 | { |
| 216 | return pNetworkImpl->AddBatchToSpaceNdLayer(batchToSpaceNdDescriptor, name); |
| 217 | } |
| 218 | |
| 219 | IConnectableLayer* INetwork::AddPooling2dLayer(const Pooling2dDescriptor& pooling2dDescriptor, |
| 220 | const char* name) |
| 221 | { |
| 222 | return pNetworkImpl->AddPooling2dLayer(pooling2dDescriptor, name); |
| 223 | } |
| 224 | |
| 225 | IConnectableLayer* INetwork::AddActivationLayer(const ActivationDescriptor& activationDescriptor, |
| 226 | const char* name) |
| 227 | { |
| 228 | return pNetworkImpl->AddActivationLayer(activationDescriptor, name); |
| 229 | } |
| 230 | |
| 231 | IConnectableLayer* INetwork::AddNormalizationLayer(const NormalizationDescriptor& normalizationDescriptor, |
| 232 | const char* name) |
| 233 | { |
| 234 | return pNetworkImpl->AddNormalizationLayer(normalizationDescriptor, name); |
| 235 | } |
| 236 | |
| 237 | IConnectableLayer* INetwork::AddSliceLayer(const SliceDescriptor& sliceDescriptor, const char* name) |
| 238 | { |
| 239 | return pNetworkImpl->AddSliceLayer(sliceDescriptor, name); |
| 240 | } |
| 241 | IConnectableLayer* INetwork::AddSoftmaxLayer(const SoftmaxDescriptor& softmaxDescriptor, |
| 242 | const char* name) |
| 243 | { |
| 244 | return pNetworkImpl->AddSoftmaxLayer(softmaxDescriptor, name); |
| 245 | } |
| 246 | |
| 247 | IConnectableLayer* INetwork::AddSplitterLayer(const ViewsDescriptor& splitterDescriptor, |
| 248 | const char* name) |
| 249 | { |
| 250 | return pNetworkImpl->AddSplitterLayer(splitterDescriptor, name); |
| 251 | } |
| 252 | |
| 253 | IConnectableLayer* INetwork::AddMergeLayer(const char* name) |
| 254 | { |
| 255 | return pNetworkImpl->AddMergeLayer(name); |
| 256 | } |
| 257 | |
| 258 | IConnectableLayer* INetwork::AddMergerLayer(const MergerDescriptor& mergerDescriptor, |
| 259 | const char* name) |
| 260 | { |
| 261 | return pNetworkImpl->AddConcatLayer(mergerDescriptor, name); |
| 262 | } |
| 263 | |
| 264 | IConnectableLayer* INetwork::AddAbsLayer(const char* name) |
| 265 | { |
| 266 | return pNetworkImpl->AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Abs), name); |
| 267 | } |
| 268 | |
| 269 | IConnectableLayer* INetwork::AddAdditionLayer(const char* name) |
| 270 | { |
| 271 | return pNetworkImpl->AddAdditionLayer(name); |
| 272 | } |
| 273 | |
| 274 | IConnectableLayer* INetwork::AddMultiplicationLayer(const char* name) |
| 275 | { |
| 276 | return pNetworkImpl->AddMultiplicationLayer(name); |
| 277 | } |
| 278 | |
| 279 | IConnectableLayer* INetwork::AddBatchNormalizationLayer(const BatchNormalizationDescriptor& desc, |
| 280 | const ConstTensor& mean, |
| 281 | const ConstTensor& variance, |
| 282 | const ConstTensor& beta, |
| 283 | const ConstTensor& gamma, |
| 284 | const char* name) |
| 285 | { |
| 286 | return pNetworkImpl->AddBatchNormalizationLayer(desc, mean, variance, beta, gamma, name); |
| 287 | } |
| 288 | |
| 289 | IConnectableLayer* INetwork::AddRankLayer(const char* name) |
| 290 | { |
| 291 | return pNetworkImpl->AddRankLayer(name); |
| 292 | } |
| 293 | |
| 294 | IConnectableLayer* INetwork::AddResizeBilinearLayer(const ResizeBilinearDescriptor& descriptor, |
| 295 | const char* name) |
| 296 | { |
| 297 | ResizeDescriptor resizeDescriptor; |
| 298 | resizeDescriptor.m_Method = ResizeMethod::Bilinear; |
| 299 | resizeDescriptor.m_DataLayout = descriptor.m_DataLayout; |
| 300 | resizeDescriptor.m_TargetWidth = descriptor.m_TargetWidth; |
| 301 | resizeDescriptor.m_TargetHeight = descriptor.m_TargetHeight; |
| 302 | resizeDescriptor.m_AlignCorners = descriptor.m_AlignCorners; |
| 303 | resizeDescriptor.m_HalfPixelCenters = descriptor.m_HalfPixelCenters; |
| 304 | |
| 305 | return pNetworkImpl->AddResizeLayer(resizeDescriptor, name); |
| 306 | } |
| 307 | |
| 308 | IConnectableLayer* INetwork::AddResizeLayer(const ResizeDescriptor& resizeDescriptor, |
| 309 | const char* name) |
| 310 | { |
| 311 | return pNetworkImpl->AddResizeLayer(resizeDescriptor, name); |
| 312 | } |
| 313 | |
| 314 | IConnectableLayer* INetwork::AddReduceLayer(const ReduceDescriptor& reduceDescriptor, |
| 315 | const char* name) |
| 316 | { |
| 317 | return pNetworkImpl->AddReduceLayer(reduceDescriptor, name); |
| 318 | } |
| 319 | |
| 320 | IConnectableLayer* INetwork::AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc, |
| 321 | const char* name) |
| 322 | { |
| 323 | return pNetworkImpl->AddInstanceNormalizationLayer(desc, name); |
| 324 | } |
| 325 | |
| 326 | IConnectableLayer* INetwork::AddL2NormalizationLayer(const L2NormalizationDescriptor& desc, |
| 327 | const char* name) |
| 328 | { |
| 329 | return pNetworkImpl->AddL2NormalizationLayer(desc, name); |
| 330 | } |
| 331 | |
| 332 | IConnectableLayer* INetwork::AddLogSoftmaxLayer(const LogSoftmaxDescriptor& logSoftmaxDescriptor, |
| 333 | const char* name) |
| 334 | { |
| 335 | return pNetworkImpl->AddLogSoftmaxLayer(logSoftmaxDescriptor, name); |
| 336 | } |
| 337 | |
| 338 | IConnectableLayer* INetwork::AddConstantLayer(const ConstTensor& input, |
| 339 | const char* name) |
| 340 | { |
| 341 | return pNetworkImpl->AddConstantLayer(input, name); |
| 342 | } |
| 343 | |
| 344 | IConnectableLayer* INetwork::AddReshapeLayer(const ReshapeDescriptor& reshapeDescriptor, |
| 345 | const char* name) |
| 346 | { |
| 347 | return pNetworkImpl->AddReshapeLayer(reshapeDescriptor, name); |
| 348 | } |
| 349 | |
| 350 | IConnectableLayer* INetwork::AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
| 351 | const char* name) |
| 352 | { |
| 353 | return pNetworkImpl->AddSpaceToBatchNdLayer(spaceToBatchNdDescriptor, name); |
| 354 | } |
| 355 | |
| 356 | IConnectableLayer* INetwork::AddSpaceToDepthLayer(const SpaceToDepthDescriptor& spaceToDepthDescriptor, |
| 357 | const char* name) |
| 358 | { |
| 359 | return pNetworkImpl->AddSpaceToDepthLayer(spaceToDepthDescriptor, name); |
| 360 | } |
| 361 | |
| 362 | IConnectableLayer* INetwork::AddFloorLayer(const char* name) |
| 363 | { |
| 364 | return pNetworkImpl->AddFloorLayer(name); |
| 365 | } |
| 366 | IConnectableLayer* INetwork::AddOutputLayer(LayerBindingId id, const char* name) |
| 367 | { |
| 368 | return pNetworkImpl->AddOutputLayer(id, name); |
| 369 | } |
| 370 | |
| 371 | IConnectableLayer* INetwork::AddLstmLayer(const LstmDescriptor& descriptor, |
| 372 | const LstmInputParams& params, |
| 373 | const char* name) |
| 374 | { |
| 375 | return pNetworkImpl->AddLstmLayer(descriptor, params, name); |
| 376 | } |
| 377 | |
| 378 | IConnectableLayer* INetwork::AddDivisionLayer(const char* name) |
| 379 | { |
| 380 | return pNetworkImpl->AddDivisionLayer(name); |
| 381 | } |
| 382 | |
| 383 | IConnectableLayer* INetwork::AddSubtractionLayer(const char* name) |
| 384 | { |
| 385 | return pNetworkImpl->AddSubtractionLayer(name); |
| 386 | } |
| 387 | |
| 388 | IConnectableLayer* INetwork::AddMaximumLayer(const char* name) |
| 389 | { |
| 390 | return pNetworkImpl->AddMaximumLayer(name); |
| 391 | } |
| 392 | |
| 393 | IConnectableLayer* INetwork::AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name) |
| 394 | { |
| 395 | return pNetworkImpl->AddMeanLayer(meanDescriptor, name); |
| 396 | } |
| 397 | |
| 398 | IConnectableLayer* INetwork::AddPadLayer(const PadDescriptor& padDescriptor, |
| 399 | const char* name) |
| 400 | { |
| 401 | return pNetworkImpl->AddPadLayer(padDescriptor, name); |
| 402 | } |
| 403 | |
| 404 | IConnectableLayer* INetwork::AddQuantizeLayer(const char* name) |
| 405 | { |
| 406 | return pNetworkImpl->AddQuantizeLayer(name); |
| 407 | } |
| 408 | |
| 409 | IConnectableLayer* INetwork::AddStridedSliceLayer(const StridedSliceDescriptor& stridedSliceDescriptor, |
| 410 | const char* name) |
| 411 | { |
| 412 | return pNetworkImpl->AddStridedSliceLayer(stridedSliceDescriptor, name); |
| 413 | } |
| 414 | |
| 415 | IConnectableLayer* INetwork::AddMinimumLayer(const char* name) |
| 416 | { |
| 417 | return pNetworkImpl->AddMinimumLayer(name); |
| 418 | } |
| 419 | |
| 420 | IConnectableLayer* INetwork::AddGreaterLayer(const char* name) |
| 421 | { |
| 422 | return pNetworkImpl->AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Greater), name); |
| 423 | } |
| 424 | |
| 425 | IConnectableLayer* INetwork::AddEqualLayer(const char* name) |
| 426 | { |
| 427 | return pNetworkImpl->AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Equal), name); |
| 428 | } |
| 429 | |
| 430 | IConnectableLayer* INetwork::AddRsqrtLayer(const char* name) |
| 431 | { |
| 432 | return pNetworkImpl->AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt), name); |
| 433 | } |
| 434 | |
| 435 | IConnectableLayer* INetwork::AddGatherLayer(const char* name) |
| 436 | { |
| 437 | GatherDescriptor gatherDescriptor{}; |
| 438 | return pNetworkImpl->AddGatherLayer(gatherDescriptor, name); |
| 439 | } |
| 440 | |
| 441 | IConnectableLayer* INetwork::AddGatherLayer(const GatherDescriptor& descriptor, |
| 442 | const char* name) |
| 443 | { |
| 444 | return pNetworkImpl->AddGatherLayer(descriptor, name); |
| 445 | } |
| 446 | |
| 447 | IConnectableLayer* INetwork::AddSwitchLayer(const char* name) |
| 448 | { |
| 449 | return pNetworkImpl->AddSwitchLayer(name); |
| 450 | } |
| 451 | |
| 452 | IConnectableLayer* INetwork::AddPreluLayer(const char* name) |
| 453 | { |
| 454 | return pNetworkImpl->AddPreluLayer(name); |
| 455 | } |
| 456 | |
| 457 | IConnectableLayer* INetwork::AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& descriptor, |
| 458 | const ConstTensor& weights, |
| 459 | const Optional<ConstTensor>& biases, |
| 460 | const char* name) |
| 461 | { |
| 462 | return pNetworkImpl->AddTransposeConvolution2dLayer(descriptor, weights, biases, name); |
| 463 | } |
| 464 | |
| 465 | IConnectableLayer* INetwork::AddTransposeLayer(const TransposeDescriptor& transposeDescriptor, |
| 466 | const char* name) |
| 467 | { |
| 468 | return pNetworkImpl->AddTransposeLayer(transposeDescriptor, name); |
| 469 | } |
| 470 | |
Keith Davis | 3ae3f97 | 2021-05-21 16:33:48 +0100 | [diff] [blame] | 471 | IConnectableLayer* INetwork::AddShapeLayer(const char* name) |
| 472 | { |
| 473 | return pNetworkImpl->AddShapeLayer(name); |
| 474 | } |
| 475 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 476 | IConnectableLayer* INetwork::AddStackLayer(const StackDescriptor& descriptor, |
| 477 | const char* name) |
| 478 | { |
| 479 | return pNetworkImpl->AddStackLayer(descriptor, name); |
| 480 | } |
| 481 | |
| 482 | IConnectableLayer* INetwork::AddStandInLayer(const StandInDescriptor& descriptor, |
| 483 | const char* name) |
| 484 | { |
| 485 | return pNetworkImpl->AddStandInLayer(descriptor, name); |
| 486 | } |
| 487 | |
| 488 | IConnectableLayer* INetwork::AddQuantizedLstmLayer(const QuantizedLstmInputParams& params, |
| 489 | const char* name) |
| 490 | { |
| 491 | return pNetworkImpl->AddQuantizedLstmLayer(params, name); |
| 492 | } |
| 493 | |
| 494 | IConnectableLayer* INetwork::AddQLstmLayer(const QLstmDescriptor& descriptor, |
| 495 | const LstmInputParams& params, |
| 496 | const char* name) |
| 497 | { |
| 498 | return pNetworkImpl->AddQLstmLayer(descriptor, params, name); |
| 499 | } |
| 500 | |
| 501 | IConnectableLayer* INetwork::AddLogicalBinaryLayer(const LogicalBinaryDescriptor& descriptor, |
| 502 | const char* name) |
| 503 | { |
| 504 | return pNetworkImpl->AddLogicalBinaryLayer(descriptor, name); |
| 505 | } |
| 506 | |
Narumol Prangnawarat | 8ed39ae | 2021-07-15 16:16:25 +0100 | [diff] [blame] | 507 | IConnectableLayer* INetwork::AddUnidirectionalSequenceLstmLayer( |
| 508 | const UnidirectionalSequenceLstmDescriptor& descriptor, |
| 509 | const LstmInputParams& params, |
| 510 | const char* name) |
| 511 | { |
| 512 | return pNetworkImpl->AddUnidirectionalSequenceLstmLayer(descriptor, params, name); |
| 513 | } |
| 514 | |
Simon Obute | 51f6777 | 2021-09-03 15:50:13 +0100 | [diff] [blame^] | 515 | IConnectableLayer* INetwork::AddChannelShuffleLayer(const ChannelShuffleDescriptor &descriptor, |
| 516 | const char* name) |
| 517 | { |
| 518 | return pNetworkImpl->AddChannelShuffleLayer(descriptor, name); |
| 519 | } |
| 520 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 521 | void INetwork::Accept(ILayerVisitor& visitor) const |
| 522 | { |
| 523 | return pNetworkImpl->Accept(visitor); |
| 524 | } |
| 525 | |
| 526 | void INetwork::ExecuteStrategy(IStrategy& strategy) const |
| 527 | { |
| 528 | return pNetworkImpl->ExecuteStrategy(strategy); |
| 529 | } |
| 530 | |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 531 | armnn::INetwork* INetwork::CreateRaw(NetworkOptions networkOptions) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 532 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 533 | return new INetwork(networkOptions); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 534 | } |
| 535 | |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 536 | armnn::INetworkPtr INetwork::Create(NetworkOptions networkOptions) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 537 | { |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 538 | return INetworkPtr(CreateRaw(networkOptions), &INetwork::Destroy); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 539 | } |
| 540 | |
| 541 | void INetwork::Destroy(INetwork* network) |
| 542 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 543 | delete network; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 544 | } |
| 545 | |
Mike Kelly | 0d677db | 2021-06-27 22:39:21 +0100 | [diff] [blame] | 546 | IOptimizedNetwork::IOptimizedNetwork(const IOptimizedNetwork& other, const ModelOptions& modelOptions) |
| 547 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(*other.pOptimizedNetworkImpl.get(), modelOptions)) {} |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 548 | |
| 549 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<Graph> graph) |
| 550 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(std::move(graph))) {} |
| 551 | |
| 552 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<OptimizedNetworkImpl> impl) |
| 553 | : pOptimizedNetworkImpl(std::move(impl)) {} |
| 554 | |
| 555 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<Graph> graph, const ModelOptions& modelOptions) |
| 556 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(std::move(graph), modelOptions)) {} |
| 557 | |
| 558 | IOptimizedNetwork::~IOptimizedNetwork() = default; |
| 559 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 560 | void IOptimizedNetwork::Destroy(IOptimizedNetwork* network) |
| 561 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 562 | delete network; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 563 | } |
| 564 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 565 | Status IOptimizedNetwork::PrintGraph() |
| 566 | { |
| 567 | return pOptimizedNetworkImpl->PrintGraph(); |
| 568 | } |
| 569 | |
| 570 | Status IOptimizedNetwork::SerializeToDot(std::ostream& stream) const |
| 571 | { |
| 572 | return pOptimizedNetworkImpl->SerializeToDot(stream); |
| 573 | } |
| 574 | |
| 575 | profiling::ProfilingGuid IOptimizedNetwork::GetGuid() const |
| 576 | { |
| 577 | return pOptimizedNetworkImpl->GetGuid(); |
| 578 | } |
| 579 | |
| 580 | Status OptimizedNetworkImpl::PrintGraph() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 581 | { |
| 582 | m_Graph->Print(); |
| 583 | return Status::Success; |
| 584 | } |
| 585 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 586 | Status OptimizedNetworkImpl::SerializeToDot(std::ostream& stream) const |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 587 | { |
| 588 | return m_Graph->SerializeToDot(stream); |
| 589 | } |
| 590 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 591 | void ReportError(const std::string& errorMessage, |
| 592 | Optional<std::vector<std::string>&> errorMessages) |
| 593 | { |
| 594 | std::stringstream fullErrorMessage; |
| 595 | fullErrorMessage << "ERROR: " << errorMessage; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 596 | ARMNN_LOG(warning) << fullErrorMessage.str(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 597 | if (errorMessages) |
| 598 | { |
| 599 | errorMessages.value().push_back(fullErrorMessage.str()); |
| 600 | } |
| 601 | } |
| 602 | |
| 603 | void ReportWarning(const std::string& warningMessage, |
| 604 | Optional<std::vector<std::string>&> warningMessages) |
| 605 | { |
| 606 | std::stringstream fullWarningMessage; |
| 607 | fullWarningMessage << "WARNING: " << warningMessage; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 608 | ARMNN_LOG(warning) << fullWarningMessage.str(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 609 | if (warningMessages) |
| 610 | { |
| 611 | warningMessages.value().push_back(fullWarningMessage.str()); |
| 612 | } |
| 613 | } |
| 614 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 615 | OptimizationResult ReturnWithError(OptimizationResult res, |
| 616 | const Layer* layer, |
| 617 | const BackendSettings& backendSettings, |
| 618 | Optional<std::vector<std::string>&> errMessages) |
| 619 | { |
| 620 | std::stringstream failureMsg; |
| 621 | failureMsg << "Layer of type " << GetLayerTypeAsCString(layer->GetType()) |
| 622 | << " is not supported on any preferred backend " << backendSettings.m_PreferredBackends; |
| 623 | ReportError(failureMsg.str(), errMessages); |
| 624 | |
| 625 | res.m_Error = true; |
| 626 | return res; |
| 627 | } |
| 628 | |
| 629 | |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 630 | bool CheckScaleSetOnQuantizedType(Layer* layer, Optional<std::vector<std::string>&> errMessages) |
| 631 | { |
| 632 | bool noErrors = true; |
| 633 | unsigned int numOutputs = layer->GetNumOutputSlots(); |
| 634 | for (unsigned int i = 0; i < numOutputs; i++) { |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 635 | OutputSlot& outputSlot = layer->GetOutputSlot(i); |
| 636 | TensorInfo info = outputSlot.GetTensorInfo(); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 637 | if (DataType::QAsymmU8 == info.GetDataType()) { |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 638 | if (0.f == info.GetQuantizationScale()) { |
| 639 | noErrors = false; |
| 640 | std::stringstream ss; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 641 | ss << "output " << i << " of layer " << GetLayerTypeAsCString(layer->GetType()) |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 642 | << " (" << layer->GetNameStr() << ") is of type" |
| 643 | << " Quantized 8 bit but its scale parameter has not been set"; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 644 | ReportError(ss.str(), errMessages); |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 645 | } |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 646 | // Softmax under QuantisedAsymm8 must always be scale (1.0f/256.0f) and offset 0 |
| 647 | if ((info.GetQuantizationScale() != (1.0f / 256.0f) || |
| 648 | info.GetQuantizationOffset() != 0) && |
| 649 | layer->GetType() == armnn::LayerType::Softmax) |
| 650 | { |
| 651 | std::stringstream ss; |
| 652 | ss << "Quantization parameters for Softmax layer (Scale: " << |
| 653 | info.GetQuantizationScale() << " and Offset: " << info.GetQuantizationOffset() << |
| 654 | ") are incorrect and have been updated to Scale: 0.00390625 and Offset: 0"; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 655 | ARMNN_LOG(warning) << ss.str(); |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 656 | info.SetQuantizationScale((1.0f /256.0f)); |
| 657 | info.SetQuantizationOffset(0); |
| 658 | outputSlot.SetTensorInfo(info); |
| 659 | } |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 660 | } |
| 661 | } |
| 662 | return noErrors; |
| 663 | } |
| 664 | |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 665 | template <typename LayerT> |
| 666 | LayerT* ConvertBf16ToFp32Weight(Layer* l) |
| 667 | { |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 668 | LayerT* layer = PolymorphicDowncast<LayerT*>(l); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 669 | if ((layer->GetType() == LayerType::Convolution2d || layer->GetType() == LayerType::FullyConnected) |
| 670 | && layer->m_Weight) |
| 671 | { |
| 672 | const TensorInfo& info = layer->m_Weight->GetTensorInfo(); |
| 673 | |
| 674 | if (info.GetDataType() == DataType::BFloat16) |
| 675 | { |
| 676 | std::vector<float> newValues(info.GetNumElements()); |
| 677 | |
| 678 | armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32( |
Finn Williams | 4422cec | 2021-03-22 17:51:06 +0000 | [diff] [blame] | 679 | layer->m_Weight->template GetConstTensor<armnn::BFloat16>(), info.GetNumElements(), newValues.data()); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 680 | |
| 681 | TensorInfo newInfo(info.GetShape(), DataType::Float32); |
| 682 | ConstTensor newInput(newInfo, newValues); |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 683 | layer->m_Weight.reset(new ScopedTensorHandle(newInput)); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 684 | } |
| 685 | } |
| 686 | return layer; |
| 687 | } |
| 688 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 689 | OptimizationResult AttemptBackendAssignment(BackendSettings& backendSettings, |
| 690 | Graph& graph, |
| 691 | Layer* layer, |
| 692 | BackendId backend, |
| 693 | DataType dataTypeIn, |
| 694 | DataType dataTypeOut, |
| 695 | const std::vector<BackendId>& availablePreferredBackends, |
| 696 | std::string& reasonIfUnsupported, |
| 697 | Optional<std::vector<std::string>&> errMessages) |
| 698 | { |
| 699 | OptimizationResult result; |
| 700 | |
| 701 | // Helper lambda to compose meaningful error message before returning with error |
| 702 | auto ReturnError = [&](const Layer* layer) |
| 703 | { |
| 704 | return ReturnWithError(result, layer, backendSettings, errMessages); |
| 705 | }; |
| 706 | |
| 707 | // need to set the compute device on the layer |
| 708 | // before we can check if it is supported |
| 709 | layer->SetBackendId(backend); |
| 710 | if (!IWorkloadFactory::IsLayerSupported(*layer, EmptyOptional(), reasonIfUnsupported)) |
| 711 | { |
| 712 | if (dataTypeIn == DataType::Float16 || dataTypeOut == DataType::Float16) |
| 713 | { |
| 714 | if (IWorkloadFactory::IsLayerSupported(*layer, DataType::Float32, reasonIfUnsupported) |
| 715 | && layer->GetType() != LayerType::ConvertFp32ToFp16 |
| 716 | && layer->GetType() != LayerType::ConvertFp16ToFp32) |
| 717 | { |
Jan Eilers | 0c0019c | 2021-08-20 16:42:58 +0100 | [diff] [blame] | 718 | auto ConstantLayerFromFp16ToFp32 = [](Layer& layer) |
| 719 | { |
| 720 | if (layer.GetType() == LayerType::Constant) |
| 721 | { |
| 722 | ConstantLayer* constantLayer = PolymorphicDowncast<ConstantLayer*>(&layer); |
| 723 | |
| 724 | auto& info = constantLayer->m_LayerOutput->GetTensorInfo(); |
| 725 | |
| 726 | if (info.GetDataType() == DataType::Float16) |
| 727 | { |
| 728 | std::vector<float> newValues(info.GetNumElements()); |
| 729 | |
| 730 | armnnUtils::FloatingPointConverter::ConvertFloat16To32( |
| 731 | constantLayer->m_LayerOutput->GetConstTensor<Half>(), |
| 732 | info.GetNumElements(), |
| 733 | newValues.data()); |
| 734 | |
| 735 | TensorInfo newInfo(info); |
| 736 | newInfo.SetDataType(DataType::Float32); |
| 737 | ConstTensor newInput(newInfo, newValues); |
| 738 | constantLayer->m_LayerOutput.reset(new ScopedTensorHandle(newInput)); |
| 739 | |
| 740 | layer.GetOutputSlot(0).SetTensorInfo(newInfo); |
| 741 | } |
| 742 | } |
| 743 | }; |
| 744 | |
| 745 | bool checkType = false; |
| 746 | |
| 747 | for (auto inputSlot : layer->GetInputSlots()) |
| 748 | { |
| 749 | auto connectedOutputSlot = inputSlot.GetConnectedOutputSlot(); |
| 750 | if (connectedOutputSlot->GetOwningLayer().GetType() == LayerType::Constant) |
| 751 | { |
| 752 | if (connectedOutputSlot->GetNumConnections() == 1) |
| 753 | { |
| 754 | checkType = true; |
| 755 | ConstantLayerFromFp16ToFp32(connectedOutputSlot->GetOwningLayer()); |
| 756 | } |
| 757 | } |
| 758 | } |
| 759 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 760 | // Insert FP16 -> FP32 conversion layer before current layer |
| 761 | std::vector<ConvertFp16ToFp32Layer*> convertFp16ToFp32Layers; |
| 762 | if (dataTypeIn == DataType::Float16) |
| 763 | { |
| 764 | convertFp16ToFp32Layers = |
Jan Eilers | 0c0019c | 2021-08-20 16:42:58 +0100 | [diff] [blame] | 765 | InsertConvertFp16ToFp32LayersBefore(graph, *layer, checkType); |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 766 | } |
| 767 | |
| 768 | // Insert FP32 -> FP16 conversion layer after current layer |
| 769 | std::vector<ConvertFp32ToFp16Layer*> convertFp32ToFp16Layers; |
| 770 | if (dataTypeOut == DataType::Float16) |
| 771 | { |
| 772 | convertFp32ToFp16Layers = |
| 773 | InsertConvertFp32ToFp16LayersAfter(graph, *layer); |
| 774 | } |
| 775 | |
| 776 | // Assign a supported backend to the newly introduced conversion layers |
| 777 | auto AssignFirstSupportedBackend = [&](Layer* layer, BackendId preferredBackend) |
| 778 | { |
| 779 | bool supportedBackendFound = false; |
| 780 | std::string reasonIfUnsupported; |
| 781 | |
| 782 | // Try preferred backend first |
| 783 | layer->SetBackendId(preferredBackend); |
| 784 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 785 | EmptyOptional(), |
| 786 | reasonIfUnsupported)) |
| 787 | { |
| 788 | supportedBackendFound = true; |
| 789 | } |
| 790 | else |
| 791 | { |
| 792 | for (const auto& backend : availablePreferredBackends) |
| 793 | { |
| 794 | // Skip preferred backend (we already determined that it is not supported) |
| 795 | if (backend == preferredBackend) |
| 796 | { |
| 797 | continue; |
| 798 | } |
| 799 | |
| 800 | layer->SetBackendId(backend); |
| 801 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 802 | EmptyOptional(), |
| 803 | reasonIfUnsupported)) |
| 804 | { |
| 805 | supportedBackendFound = true; |
| 806 | break; |
| 807 | } |
| 808 | } |
| 809 | } |
| 810 | |
| 811 | return supportedBackendFound; |
| 812 | }; |
| 813 | |
| 814 | for (ConvertFp16ToFp32Layer* convertLayer : convertFp16ToFp32Layers) |
| 815 | { |
| 816 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 817 | { |
| 818 | return ReturnError(convertLayer); |
| 819 | } |
| 820 | } |
| 821 | |
| 822 | for (ConvertFp32ToFp16Layer* convertLayer : convertFp32ToFp16Layers) |
| 823 | { |
| 824 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 825 | { |
| 826 | return ReturnError(convertLayer); |
| 827 | } |
| 828 | } |
| 829 | |
| 830 | return result; |
| 831 | } |
| 832 | } |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 833 | else if (dataTypeIn == DataType::BFloat16 || dataTypeOut == DataType::BFloat16) |
| 834 | { |
| 835 | if (IWorkloadFactory::IsLayerSupported(*layer, DataType::Float32, reasonIfUnsupported) |
| 836 | && layer->GetType() != LayerType::ConvertFp32ToBf16 |
| 837 | && layer->GetType() != LayerType::ConvertBf16ToFp32) |
| 838 | { |
| 839 | // Insert BF16 -> FP32 conversion layer before current layer |
| 840 | std::vector<ConvertBf16ToFp32Layer*> convertBf16ToFp32Layers; |
| 841 | if (dataTypeIn == DataType::BFloat16) |
| 842 | { |
| 843 | convertBf16ToFp32Layers = |
| 844 | InsertConvertBf16ToFp32LayersBefore(graph, *layer); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 845 | if (layer->GetType() == LayerType::Convolution2d) |
| 846 | { |
| 847 | ConvertBf16ToFp32Weight<Convolution2dLayer>(layer); |
| 848 | } |
| 849 | else if (layer->GetType() == LayerType::FullyConnected) |
| 850 | { |
| 851 | ConvertBf16ToFp32Weight<FullyConnectedLayer>(layer); |
| 852 | } |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 853 | } |
| 854 | |
| 855 | // Insert FP32 -> BF16 conversion layer after current layer |
| 856 | std::vector<ConvertFp32ToBf16Layer*> convertFp32ToBf16Layers; |
| 857 | if (dataTypeOut == DataType::BFloat16) |
| 858 | { |
| 859 | convertFp32ToBf16Layers = |
| 860 | InsertConvertFp32ToBf16LayersAfter(graph, *layer); |
| 861 | } |
| 862 | |
| 863 | // Assign a supported backend to the newly introduced conversion layers |
| 864 | auto AssignFirstSupportedBackend = [&](Layer* layer, BackendId preferredBackend) |
| 865 | { |
| 866 | bool supportedBackendFound = false; |
| 867 | std::string reasonIfUnsupported; |
| 868 | |
| 869 | // Try preferred backend first |
| 870 | layer->SetBackendId(preferredBackend); |
| 871 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 872 | EmptyOptional(), |
| 873 | reasonIfUnsupported)) |
| 874 | { |
| 875 | supportedBackendFound = true; |
| 876 | } |
| 877 | else |
| 878 | { |
| 879 | for (const auto& backend : availablePreferredBackends) |
| 880 | { |
| 881 | // Skip preferred backend (we already determined that it is not supported) |
| 882 | if (backend == preferredBackend) |
| 883 | { |
| 884 | continue; |
| 885 | } |
| 886 | |
| 887 | layer->SetBackendId(backend); |
| 888 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 889 | EmptyOptional(), |
| 890 | reasonIfUnsupported)) |
| 891 | { |
| 892 | supportedBackendFound = true; |
| 893 | break; |
| 894 | } |
| 895 | } |
| 896 | } |
| 897 | |
| 898 | return supportedBackendFound; |
| 899 | }; |
| 900 | |
| 901 | for (ConvertBf16ToFp32Layer* convertLayer : convertBf16ToFp32Layers) |
| 902 | { |
| 903 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 904 | { |
| 905 | return ReturnError(convertLayer); |
| 906 | } |
| 907 | } |
| 908 | |
| 909 | for (ConvertFp32ToBf16Layer* convertLayer : convertFp32ToBf16Layers) |
| 910 | { |
| 911 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 912 | { |
| 913 | return ReturnError(convertLayer); |
| 914 | } |
| 915 | } |
| 916 | |
| 917 | return result; |
| 918 | } |
| 919 | } |
| 920 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 921 | std::stringstream warningMsg; |
| 922 | warningMsg << "Layer of type " << GetLayerTypeAsCString(layer->GetType()) |
| 923 | << " is not supported on requested backend " << layer->GetBackendId().Get() |
| 924 | << " for input data type " << GetDataTypeName(dataTypeIn) |
| 925 | << " and output data type " << GetDataTypeName(dataTypeOut) |
| 926 | << " (reason: " << reasonIfUnsupported |
| 927 | << "), falling back to the next backend."; |
| 928 | ReportWarning(warningMsg.str(), errMessages); |
| 929 | |
| 930 | return OptimizationResult(true, false); |
| 931 | } |
| 932 | else |
| 933 | { |
| 934 | return result; |
| 935 | } |
| 936 | } |
| 937 | |
| 938 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 939 | OptimizationResult AssignBackends(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 940 | BackendSettings& backendSettings, |
| 941 | Graph::Iterator& firstLayer, |
| 942 | Graph::Iterator& lastLayer, |
| 943 | Optional<std::vector<std::string>&> errMessages) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 944 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 945 | OptimizationResult result; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 946 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 947 | // Helper lambda to compose meaningful error message before returning with error |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 948 | auto ReturnError = [&](const Layer* layer) |
| 949 | { |
| 950 | return ReturnWithError(result, layer, backendSettings, errMessages); |
| 951 | }; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 952 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 953 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 954 | auto availablePreferredBackends = backendSettings.GetAvailablePreferredBackends(); |
| 955 | if (availablePreferredBackends.empty()) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 956 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 957 | std::stringstream failureMsg; |
| 958 | failureMsg << "No preferred backends are available"; |
| 959 | ReportError(failureMsg.str(), errMessages); |
| 960 | |
| 961 | result.m_Error = true; |
| 962 | return result; |
| 963 | } |
| 964 | |
| 965 | for (auto it = firstLayer; it != lastLayer; ++it) |
| 966 | { |
| 967 | auto layer = *it; |
Aron Virginas-Tar | 87972be | 2019-11-13 15:16:28 +0000 | [diff] [blame] | 968 | |
| 969 | DataType dataTypeIn = layer->GetNumInputSlots() == 0 ? DataType::Float32 : |
| 970 | layer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo().GetDataType(); |
| 971 | DataType dataTypeOut = layer->GetNumOutputSlots() == 0 ? DataType::Float32 : |
| 972 | layer->GetOutputSlot(0).GetTensorInfo().GetDataType(); |
| 973 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 974 | std::string reasonIfUnsupported; |
| 975 | bool found = false; |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 976 | if (!CheckScaleSetOnQuantizedType(layer, errMessages)) |
| 977 | { |
| 978 | // don't bomb immediately, find all the quantized outputs |
| 979 | // which haven't had a scale set and report them all back. |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 980 | result.m_Error = true; |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 981 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 982 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 983 | // First try assign layer to hint backend |
| 984 | if (layer->GetBackendHint().has_value() && |
| 985 | backendSettings.IsBackendSupported(layer->GetBackendHint().value()) && |
| 986 | AttemptBackendAssignment(backendSettings, |
| 987 | optNetObjPtr->GetGraph(), |
| 988 | layer, |
| 989 | layer->GetBackendHint().value(), |
| 990 | dataTypeIn, |
| 991 | dataTypeOut, |
| 992 | availablePreferredBackends, |
| 993 | reasonIfUnsupported, |
| 994 | errMessages).IsOk()) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 995 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 996 | found = true; |
| 997 | backendSettings.m_SelectedBackends.insert(layer->GetBackendHint().value()); |
| 998 | } |
| 999 | else |
| 1000 | { |
| 1001 | // Try assign layer to prefered list of backends |
| 1002 | for (const auto& backend : availablePreferredBackends) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1003 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 1004 | if (layer->GetBackendHint().has_value() && |
| 1005 | layer->GetBackendHint().value() == backend) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1006 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 1007 | continue; //Don't re-test the backend hint |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1008 | } |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 1009 | |
| 1010 | OptimizationResult res = AttemptBackendAssignment(backendSettings, |
| 1011 | optNetObjPtr->GetGraph(), |
| 1012 | layer, |
| 1013 | backend, |
| 1014 | dataTypeIn, |
| 1015 | dataTypeOut, |
| 1016 | availablePreferredBackends, |
| 1017 | reasonIfUnsupported, |
| 1018 | errMessages); |
| 1019 | |
| 1020 | if (res.IsOk()) |
| 1021 | { |
| 1022 | found = true; |
| 1023 | backendSettings.m_SelectedBackends.insert(backend); |
| 1024 | break; |
| 1025 | } |
| 1026 | else if (res.IsError()) |
| 1027 | { |
| 1028 | return res; // Cannot continue. |
| 1029 | // Note: we don't need to log the error as it would already |
| 1030 | // be logged in AttemptBackendAssignment(). |
| 1031 | } |
| 1032 | else |
| 1033 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1034 | ARMNN_ASSERT_MSG(res.IsWarningOnly(), "OptimizationResult in unexpected state."); |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 1035 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1036 | } |
| 1037 | } |
| 1038 | |
| 1039 | // If the layer is unsupported by any devices, log and return a null network. |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1040 | if (!found) |
| 1041 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1042 | // NOTE: if the layer is not an operation queue type AND we have not got CpuRef as a |
| 1043 | // fallback we should set the compute device on the layer to CpuRef (these are not |
| 1044 | // available as accelerated operations, or are only available under certain |
| 1045 | // conditions, currently they comprise MemCopy, Constant, Permute) |
| 1046 | armnn::LayerType layerType = layer->GetType(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1047 | if (!backendSettings.IsCpuRefUsed() && (layerType == armnn::LayerType::MemCopy || |
| 1048 | layerType == armnn::LayerType::Constant || |
| 1049 | layerType == armnn::LayerType::Permute)) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1050 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1051 | BackendId cpuBackendId(armnn::Compute::CpuRef); |
| 1052 | layer->SetBackendId(cpuBackendId); |
| 1053 | backendSettings.m_SelectedBackends.insert(cpuBackendId); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1054 | } |
| 1055 | else |
| 1056 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 1057 | return ReturnError(layer); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1058 | } |
| 1059 | } |
| 1060 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1061 | |
| 1062 | return result; |
| 1063 | } |
| 1064 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1065 | OptimizationResult AssignBackends(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1066 | BackendSettings& backendSettings, |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1067 | SubgraphView& subgraph, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1068 | Optional<std::vector<std::string>&> errMessages) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1069 | { |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1070 | Graph::Iterator firstLayer = subgraph.begin(); |
| 1071 | Graph::Iterator lastLayer = subgraph.end(); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1072 | return AssignBackends(optNetObjPtr, |
| 1073 | backendSettings, |
| 1074 | firstLayer, |
| 1075 | lastLayer, |
| 1076 | errMessages); |
| 1077 | } |
| 1078 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1079 | BackendsMap CreateSupportedBackends(TensorHandleFactoryRegistry& handleFactoryRegistry, |
| 1080 | BackendSettings& backendSettings) |
| 1081 | { |
| 1082 | BackendsMap backends; |
| 1083 | auto const& backendRegistry = BackendRegistryInstance(); |
| 1084 | for (auto&& selectedBackend : backendSettings.m_SupportedBackends) |
| 1085 | { |
| 1086 | auto backendFactory = backendRegistry.GetFactory(selectedBackend); |
| 1087 | auto backendObjPtr = backendFactory(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1088 | ARMNN_ASSERT(backendObjPtr); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1089 | |
| 1090 | backendObjPtr->RegisterTensorHandleFactories(handleFactoryRegistry); |
| 1091 | |
| 1092 | backends[backendObjPtr->GetId()] = std::move(backendObjPtr); |
| 1093 | } |
| 1094 | |
| 1095 | return backends; |
| 1096 | } |
| 1097 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1098 | OptimizationResult ApplyBackendOptimizations(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1099 | BackendSettings& backendSettings, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1100 | BackendsMap& backends, |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1101 | const ModelOptions& modelOptions, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1102 | Optional<std::vector<std::string>&> errMessages) |
| 1103 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1104 | ARMNN_ASSERT(optNetObjPtr); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1105 | |
| 1106 | OptimizationResult result; |
| 1107 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1108 | // Get the optimized graph |
| 1109 | Graph& optGraph = optNetObjPtr->GetGraph(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1110 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1111 | // Run backend specific optimizations |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1112 | for (auto&& selectedBackend : backendSettings.m_SelectedBackends) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1113 | { |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1114 | auto backendObjPtr = backends.find(selectedBackend)->second.get(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1115 | ARMNN_ASSERT(backendObjPtr); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1116 | |
| 1117 | // Select sub-graphs based on backend |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1118 | SubgraphViewSelector::Subgraphs subgraphs = |
Rob Hughes | 65c3226 | 2019-07-23 15:33:39 +0100 | [diff] [blame] | 1119 | SubgraphViewSelector::SelectSubgraphs(optGraph, |
Matteo Martincigh | 602af09 | 2019-05-01 10:31:27 +0100 | [diff] [blame] | 1120 | // Select layers assigned to the requested backend |
| 1121 | [&backendObjPtr](const Layer& layer) |
| 1122 | { |
| 1123 | return layer.GetType() != LayerType::Input && |
| 1124 | layer.GetType() != LayerType::Output && |
| 1125 | layer.GetBackendId() == backendObjPtr->GetId(); |
| 1126 | }); |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1127 | if (subgraphs.empty()) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1128 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1129 | // No sub-graphs found, try with next selected backend |
| 1130 | continue; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1131 | } |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1132 | |
| 1133 | // Try to optimize each sub-graph |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1134 | for (auto& subgraph : subgraphs) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1135 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1136 | // Try to optimize the current sub-graph |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1137 | OptimizationViews optimizationViews = backendObjPtr->OptimizeSubgraphView(*subgraph, modelOptions); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1138 | ARMNN_ASSERT(optimizationViews.Validate(*subgraph)); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1139 | |
| 1140 | // Optimization attempted, check the resulting optimized sub-graph |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1141 | for (auto& substitution : optimizationViews.GetSubstitutions()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1142 | { |
| 1143 | // Sub-graph optimized, substitute the sub-graph with the new optimized one in the main optimized graph |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1144 | SubgraphView& replacementSubgraph = substitution.m_ReplacementSubgraph; |
| 1145 | SubgraphView& substitutableSubgraph = substitution.m_SubstitutableSubgraph; |
| 1146 | optGraph.SubstituteSubgraph(substitutableSubgraph, replacementSubgraph); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1147 | |
| 1148 | // Assign the current backend to the optimized sub-graph |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1149 | std::for_each(replacementSubgraph.begin(), replacementSubgraph.end(), [&selectedBackend](Layer* l) |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1150 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1151 | ARMNN_ASSERT(l); |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1152 | l->SetBackendId(selectedBackend); |
| 1153 | }); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1154 | } |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1155 | |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1156 | if (!optimizationViews.GetFailedSubgraphs().empty()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1157 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1158 | std::stringstream warningMsg; |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1159 | warningMsg << "Some sub-graph(s) failed to optimized on " << backendObjPtr->GetId() << " backend."; |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1160 | ReportWarning(warningMsg.str(), errMessages); |
| 1161 | |
| 1162 | // Failed to optimize the given sub-graph, re-assign the sub-graph layers to other available backends |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1163 | BackendSettings settingsCopy(backendSettings); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1164 | if (!backendObjPtr->GetId().IsCpuRef()) |
| 1165 | { |
| 1166 | // Add the current backend to the list of backends to ignore |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1167 | settingsCopy.m_IgnoredBackends.insert(backendObjPtr->GetId()); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1168 | } |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1169 | |
| 1170 | int count=0; |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1171 | for (auto& failedSubgraph : optimizationViews.GetFailedSubgraphs()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1172 | { |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1173 | // An error occurred: the optimization was attempted but not performed, try different backends |
| 1174 | std::stringstream subgraphMsg; |
| 1175 | subgraphMsg << "Re-assigning backends to " << failedSubgraph.GetLayers().size() |
| 1176 | << " layers inside sub-graph " << count++; |
Matteo Martincigh | 328d92b | 2019-07-04 17:52:55 +0100 | [diff] [blame] | 1177 | ReportWarning(subgraphMsg.str(), errMessages); |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1178 | |
| 1179 | OptimizationResult reassignmentResult = AssignBackends(optNetObjPtr, |
| 1180 | settingsCopy, |
| 1181 | *subgraph, |
| 1182 | errMessages); |
| 1183 | if (reassignmentResult.m_Error) |
| 1184 | { |
| 1185 | // Failed to re-assign one of the remaining backends to each layer of the sub-graph |
| 1186 | result.m_Error = true; |
| 1187 | return result; |
| 1188 | } |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1189 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1190 | } |
| 1191 | } |
| 1192 | } |
| 1193 | |
| 1194 | return result; |
| 1195 | } |
| 1196 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1197 | bool RequiresCopy(ITensorHandleFactory::FactoryId src, |
| 1198 | ITensorHandleFactory::FactoryId dst, |
| 1199 | TensorHandleFactoryRegistry& registry) |
| 1200 | { |
| 1201 | if (src != dst) |
| 1202 | { |
| 1203 | ITensorHandleFactory* srcFactory = registry.GetFactory(src); |
| 1204 | ITensorHandleFactory* dstFactory = registry.GetFactory(dst); |
| 1205 | |
Matteo Martincigh | a6539ed | 2019-08-27 13:43:32 +0100 | [diff] [blame] | 1206 | if (srcFactory && dstFactory && |
| 1207 | (srcFactory->GetExportFlags() & dstFactory->GetImportFlags()) != 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1208 | { |
| 1209 | return false; |
| 1210 | } |
| 1211 | return true; |
| 1212 | } |
| 1213 | return false; |
| 1214 | } |
| 1215 | |
| 1216 | // Find the handle factory for the input layer which results in fewest required copies. |
| 1217 | ITensorHandleFactory::FactoryId CalculateSlotOptionForInput(BackendsMap& backends, |
| 1218 | OutputSlot& slot, |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1219 | TensorHandleFactoryRegistry& registry, |
| 1220 | bool importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1221 | { |
| 1222 | Layer& layer = slot.GetOwningLayer(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1223 | ARMNN_ASSERT(layer.GetType() == LayerType::Input); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1224 | |
| 1225 | // Explicitly select the tensorhandle factory for InputLayer because the rules for it are slightly different. It |
| 1226 | // doesn't matter which backend it is assigned to because they all use the same implementation, which |
| 1227 | // requires Map/Unmap support. This means that, so long as the handle type supports map/unmap semantics, we can |
| 1228 | // select a factory with maximum compatibility with the layers connected to the InputLayer. |
| 1229 | |
| 1230 | // First ensure the from backends can support the TensorHandeAPI |
| 1231 | auto frmBackend = backends.find(layer.GetBackendId()); |
| 1232 | if (frmBackend == backends.end() || |
| 1233 | !frmBackend->second->SupportsTensorAllocatorAPI()) |
| 1234 | { |
| 1235 | return ITensorHandleFactory::LegacyFactoryId; |
| 1236 | } |
| 1237 | |
| 1238 | // Go through all connections to the output slot and determine the TensorHandleFactory which results in the |
| 1239 | // fewest copies. |
| 1240 | std::map<ITensorHandleFactory::FactoryId, int> factoryScores; |
| 1241 | int topScore = 0; |
| 1242 | ITensorHandleFactory::FactoryId topChoice = ITensorHandleFactory::LegacyFactoryId; |
| 1243 | |
| 1244 | for (auto&& connection : slot.GetConnections()) |
| 1245 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1246 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1247 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1248 | |
| 1249 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1250 | ARMNN_ASSERT_MSG(toBackend != backends.end(), "Backend id not found for the connected layer"); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1251 | |
| 1252 | if (!toBackend->second.get()->SupportsTensorAllocatorAPI()) |
| 1253 | { |
| 1254 | // The destination backend does not support the tensor allocator API, move to the next one |
| 1255 | continue; |
| 1256 | } |
| 1257 | |
| 1258 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1259 | for (auto&& dst : dstPrefs) |
| 1260 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1261 | // Input layers use the mem copy workload or import, so the selected factory must |
| 1262 | // support either the map/unmap API or Import API |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1263 | ITensorHandleFactory* factory = registry.GetFactory(dst); |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1264 | if (importEnabled && factory->GetImportFlags() == 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1265 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1266 | continue; |
| 1267 | } |
| 1268 | else if (!importEnabled && !factory->SupportsMapUnmap()) |
| 1269 | { |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1270 | continue; |
| 1271 | } |
| 1272 | |
| 1273 | auto it = factoryScores.find(dst); |
| 1274 | if (it == factoryScores.end()) |
| 1275 | { |
| 1276 | // Add new score to the table |
| 1277 | factoryScores[dst] = 0; |
| 1278 | if (topChoice == ITensorHandleFactory::LegacyFactoryId) |
| 1279 | { |
| 1280 | topChoice = dst; |
| 1281 | } |
| 1282 | } |
| 1283 | else |
| 1284 | { |
| 1285 | // Increase the score |
| 1286 | factoryScores[dst]++; |
| 1287 | |
| 1288 | // Track the best option |
| 1289 | if (factoryScores[dst] > topScore) |
| 1290 | { |
| 1291 | topScore = factoryScores[dst]; |
| 1292 | topChoice = dst; |
| 1293 | } |
| 1294 | } |
| 1295 | } |
| 1296 | } |
| 1297 | |
| 1298 | return topChoice; |
| 1299 | } |
| 1300 | |
| 1301 | // Find the handle factory for the output layer which results in fewest required copies. |
| 1302 | ITensorHandleFactory::FactoryId CalculateSlotOptionForOutput(BackendsMap& backends, |
| 1303 | OutputSlot& slot, |
| 1304 | TensorHandleFactoryRegistry& registry) |
| 1305 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 1306 | IgnoreUnused(backends, slot, registry); |
Derek Lamberti | 94a88d2 | 2019-12-10 21:12:59 +0000 | [diff] [blame] | 1307 | return ITensorHandleFactory::DeferredFactoryId; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1308 | } |
| 1309 | |
| 1310 | // For all handle factories supported on the source backend, we wish to find the one which requires the fewest copies |
| 1311 | // when considering all connections. |
| 1312 | ITensorHandleFactory::FactoryId CalculateSlotOption(BackendsMap& backends, |
| 1313 | OutputSlot& outputSlot, |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1314 | TensorHandleFactoryRegistry& registry, |
| 1315 | bool importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1316 | { |
| 1317 | // First ensure the from backends can support the TensorHandeAPI |
| 1318 | Layer& layer = outputSlot.GetOwningLayer(); |
| 1319 | auto frmBackend = backends.find(layer.GetBackendId()); |
| 1320 | if (frmBackend == backends.end() || |
| 1321 | !frmBackend->second->SupportsTensorAllocatorAPI()) |
| 1322 | { |
| 1323 | return ITensorHandleFactory::LegacyFactoryId; |
| 1324 | } |
| 1325 | |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1326 | bool outputConnection = false; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1327 | for (auto&& connection : outputSlot.GetConnections()) |
| 1328 | { |
| 1329 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1330 | if (connectedLayer.GetType() == LayerType::Output) |
| 1331 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1332 | outputConnection = true; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1333 | } |
| 1334 | } |
| 1335 | |
| 1336 | IBackendInternal* srcBackend = frmBackend->second.get(); |
| 1337 | auto srcPrefs = srcBackend->GetHandleFactoryPreferences(); |
| 1338 | |
| 1339 | // Initialize the scores |
| 1340 | std::map<ITensorHandleFactory::FactoryId, int> factoryScores; |
| 1341 | for (auto&& pref : srcPrefs) |
| 1342 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1343 | if (importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1344 | { |
| 1345 | ITensorHandleFactory* factory = registry.GetFactory(pref); |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1346 | if (outputConnection) |
| 1347 | { |
| 1348 | // Check if this is fallback case |
| 1349 | bool fallbackConnection = false; |
| 1350 | for (auto&& inputSlot : layer.GetInputSlots()) |
| 1351 | { |
| 1352 | if (inputSlot.GetConnectedOutputSlot()->GetOwningLayer().GetBackendId() != layer.GetBackendId()) |
| 1353 | { |
| 1354 | fallbackConnection = true; |
| 1355 | } |
| 1356 | } |
| 1357 | if (fallbackConnection) |
| 1358 | { |
| 1359 | auto factoryCap = factory->GetCapabilities(&layer, &layer, CapabilityClass::FallbackImportDisabled); |
| 1360 | // Cannot use factory import if fallback import is not supported. |
| 1361 | if (!factoryCap.empty()) |
| 1362 | { |
| 1363 | continue; |
| 1364 | } |
| 1365 | } |
| 1366 | else if (factory->GetExportFlags() == 0) |
| 1367 | { |
| 1368 | continue; |
| 1369 | } |
| 1370 | } |
| 1371 | if (!outputConnection) |
| 1372 | { |
| 1373 | auto factoryCap = factory->GetCapabilities(&layer, &layer, CapabilityClass::FallbackImportDisabled); |
| 1374 | // Cannot use factory import if fallback import is not supported. |
| 1375 | if (!factoryCap.empty()) |
| 1376 | { |
| 1377 | continue; |
| 1378 | } |
| 1379 | } |
| 1380 | |
| 1381 | } |
| 1382 | else |
| 1383 | { |
| 1384 | // Only consider factories that support map/unmap |
| 1385 | ITensorHandleFactory* factory = registry.GetFactory(pref); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1386 | if (!factory->SupportsMapUnmap()) |
| 1387 | { |
| 1388 | // The current tensor handle factory does not support the map/unmap strategy, move to the next one |
| 1389 | continue; |
| 1390 | } |
| 1391 | } |
| 1392 | |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1393 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1394 | auto it = factoryScores.find(pref); |
| 1395 | if (it == factoryScores.end()) |
| 1396 | { |
| 1397 | // Add new score to the table |
| 1398 | factoryScores[pref] = 0; |
| 1399 | } |
| 1400 | } |
| 1401 | |
| 1402 | // Score each handle factory based on how many times it requires copies on the slot connections |
| 1403 | for (auto&& connection : outputSlot.GetConnections()) |
| 1404 | { |
| 1405 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1406 | |
| 1407 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1408 | ARMNN_ASSERT_MSG(toBackend != backends.end(), "Backend id not found for the connected layer"); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1409 | |
| 1410 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1411 | for (auto&& src : srcPrefs) |
| 1412 | { |
| 1413 | if (factoryScores.find(src) == factoryScores.end()) // Don't consider excluded factories |
| 1414 | { |
| 1415 | continue; |
| 1416 | } |
| 1417 | |
| 1418 | for (auto&& dst : dstPrefs) |
| 1419 | { |
| 1420 | if (RequiresCopy(src, dst, registry)) |
| 1421 | { |
| 1422 | // Copy avoided, increase the score |
| 1423 | factoryScores[src]++; |
| 1424 | break; |
| 1425 | } |
| 1426 | } |
| 1427 | } |
| 1428 | } |
| 1429 | |
| 1430 | // Find the lowest score |
| 1431 | int minScore = std::numeric_limits<int>::max(); |
| 1432 | for (auto it : factoryScores) |
| 1433 | { |
| 1434 | minScore = std::min(minScore, it.second); |
| 1435 | } |
| 1436 | |
| 1437 | // Collect factories matching the best(lowest) score |
| 1438 | std::vector<ITensorHandleFactory::FactoryId> optimalFactories; |
| 1439 | for (auto it : factoryScores) |
| 1440 | { |
| 1441 | if (it.second == minScore) |
| 1442 | { |
| 1443 | optimalFactories.push_back(it.first); |
| 1444 | } |
| 1445 | } |
| 1446 | |
| 1447 | // For all compatible Factories matching the best score, find the preferred one for the current layer. |
| 1448 | for (auto&& srcPref : srcPrefs) |
| 1449 | { |
| 1450 | for (auto&& comp : optimalFactories) |
| 1451 | { |
| 1452 | if (comp == srcPref) |
| 1453 | { |
| 1454 | return comp; |
| 1455 | } |
| 1456 | } |
| 1457 | } |
| 1458 | |
| 1459 | return ITensorHandleFactory::LegacyFactoryId; |
| 1460 | } |
| 1461 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1462 | EdgeStrategy CalculateEdgeStrategy(BackendsMap& backends, |
| 1463 | ITensorHandleFactory::FactoryId srcFactoryId, |
| 1464 | const Layer& layer, |
| 1465 | const Layer& connectedLayer, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1466 | TensorHandleFactoryRegistry& registry, |
| 1467 | bool importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1468 | { |
| 1469 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1470 | ARMNN_ASSERT_MSG(toBackend != backends.end(), "Backend id not found for the connected layer"); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1471 | |
| 1472 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1473 | |
| 1474 | // Legacy API check for backward compatibility |
| 1475 | if (srcFactoryId == ITensorHandleFactory::LegacyFactoryId || dstPrefs.empty()) |
| 1476 | { |
| 1477 | if (layer.GetBackendId() != connectedLayer.GetBackendId()) |
| 1478 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1479 | return EdgeStrategy::CopyToTarget; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1480 | } |
| 1481 | else |
| 1482 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1483 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1484 | } |
| 1485 | } |
| 1486 | |
| 1487 | // TensorHandleFactory API present, so perform more sophisticated strategies. |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1488 | // Dst Output layers don't require copy because they use import or map/unmap |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1489 | if (connectedLayer.GetType() == LayerType::Output) |
| 1490 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1491 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1492 | } |
| 1493 | |
| 1494 | // Search for direct match in prefs |
| 1495 | for (auto&& pref : dstPrefs) |
| 1496 | { |
| 1497 | if (pref == srcFactoryId) |
| 1498 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1499 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1500 | } |
| 1501 | } |
| 1502 | |
| 1503 | // Search for export/import options |
| 1504 | ITensorHandleFactory* srcFactory = registry.GetFactory(srcFactoryId); |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1505 | if (srcFactory->GetExportFlags() != 0 && importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1506 | { |
| 1507 | for (auto&& pref : dstPrefs) |
| 1508 | { |
| 1509 | ITensorHandleFactory* dstFactory = registry.GetFactory(pref); |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1510 | |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1511 | // Handles cases when a destPref is not listed in TensorHandleFactoryRegistry |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1512 | if (!dstFactory) { |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1513 | continue; |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1514 | } |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1515 | if ((dstFactory->GetImportFlags() & srcFactory->GetExportFlags()) != 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1516 | { |
Narumol Prangnawarat | b8d771a | 2020-08-14 11:51:12 +0100 | [diff] [blame] | 1517 | auto srcCapability = srcFactory->GetCapabilities(&layer, &layer, CapabilityClass::PaddingRequired); |
| 1518 | auto dstCapability = dstFactory->GetCapabilities(&connectedLayer, |
| 1519 | &connectedLayer, |
| 1520 | CapabilityClass::PaddingRequired); |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1521 | auto srcFallback = srcFactory->GetCapabilities(&layer, &layer, CapabilityClass::FallbackImportDisabled); |
| 1522 | auto dstFallback = dstFactory->GetCapabilities(&connectedLayer, |
| 1523 | &connectedLayer, |
| 1524 | CapabilityClass::FallbackImportDisabled); |
Narumol Prangnawarat | b8d771a | 2020-08-14 11:51:12 +0100 | [diff] [blame] | 1525 | // Do not require memory copy if the source and destination do not require padding. |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1526 | if (srcCapability.empty() && dstCapability.empty() && srcFallback.empty() && dstFallback.empty()) |
Narumol Prangnawarat | b8d771a | 2020-08-14 11:51:12 +0100 | [diff] [blame] | 1527 | { |
| 1528 | return EdgeStrategy::ExportToTarget; |
| 1529 | } |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1530 | } |
| 1531 | } |
| 1532 | } |
| 1533 | |
| 1534 | // Search for copy options via map/unmap |
| 1535 | if (srcFactory->SupportsMapUnmap()) |
| 1536 | { |
| 1537 | for (auto&& pref : dstPrefs) |
| 1538 | { |
| 1539 | ITensorHandleFactory* dstFactory = registry.GetFactory(pref); |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1540 | if (dstFactory && dstFactory->SupportsMapUnmap()) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1541 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1542 | return EdgeStrategy::CopyToTarget; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1543 | } |
| 1544 | } |
| 1545 | } |
| 1546 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1547 | return EdgeStrategy::Undefined; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1548 | } |
| 1549 | |
| 1550 | // Select the TensorHandleFactories and the corresponding memory strategy |
| 1551 | OptimizationResult SelectTensorHandleStrategy(Graph& optGraph, |
| 1552 | BackendsMap& backends, |
| 1553 | TensorHandleFactoryRegistry& registry, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1554 | bool importEnabled, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1555 | Optional<std::vector<std::string>&> errMessages) |
| 1556 | { |
| 1557 | OptimizationResult result; |
| 1558 | |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1559 | optGraph.ForEachLayer([&backends, ®istry, &result, &errMessages, importEnabled](Layer* layer) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1560 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1561 | ARMNN_ASSERT(layer); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1562 | |
| 1563 | // Lets make sure the backend is in our list of supported backends. Something went wrong during backend |
| 1564 | // assignment if this check fails |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1565 | ARMNN_ASSERT(backends.find(layer->GetBackendId()) != backends.end()); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1566 | |
| 1567 | // Check each output separately |
| 1568 | for (unsigned int slotIdx = 0; slotIdx < layer->GetNumOutputSlots(); slotIdx++) |
| 1569 | { |
| 1570 | OutputSlot& outputSlot = layer->GetOutputSlot(slotIdx); |
| 1571 | |
| 1572 | ITensorHandleFactory::FactoryId slotOption = ITensorHandleFactory::LegacyFactoryId; |
| 1573 | |
| 1574 | // Calculate the factory to use which results in the fewest copies being made. |
| 1575 | switch(layer->GetType()) |
| 1576 | { |
| 1577 | case LayerType::Input: |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1578 | slotOption = CalculateSlotOptionForInput(backends, outputSlot, registry, importEnabled); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1579 | break; |
| 1580 | case LayerType::Output: |
| 1581 | slotOption = CalculateSlotOptionForOutput(backends, outputSlot, registry); |
| 1582 | break; |
| 1583 | default: |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1584 | slotOption = CalculateSlotOption(backends, outputSlot, registry, importEnabled); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1585 | break; |
| 1586 | } |
| 1587 | outputSlot.SetTensorHandleFactory(slotOption); |
| 1588 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1589 | // Now determine the "best" edge strategy for each connection given the slotOption. |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1590 | unsigned int connectionIdx = 0; |
| 1591 | for (auto&& connection : outputSlot.GetConnections()) |
| 1592 | { |
| 1593 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1594 | |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1595 | EdgeStrategy strategy = CalculateEdgeStrategy(backends, slotOption, *layer, connectedLayer, |
| 1596 | registry, importEnabled); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1597 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1598 | if (strategy == EdgeStrategy::Undefined) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1599 | { |
| 1600 | result.m_Error = true; |
| 1601 | if (errMessages) |
| 1602 | { |
| 1603 | errMessages.value().emplace_back("Could not find valid strategy required for compatibility" |
| 1604 | " between backends."); |
| 1605 | } |
| 1606 | return; |
| 1607 | } |
| 1608 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1609 | outputSlot.SetEdgeStrategy(connectionIdx, strategy); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1610 | |
| 1611 | connectionIdx++; |
| 1612 | } |
| 1613 | } |
| 1614 | }); |
| 1615 | |
| 1616 | return result; |
| 1617 | } |
| 1618 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1619 | IOptimizedNetworkPtr Optimize(const INetwork& inNetwork, |
| 1620 | const std::vector<BackendId>& backendPreferences, |
| 1621 | const IDeviceSpec& deviceSpec, |
| 1622 | const OptimizerOptions& options, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1623 | Optional<std::vector<std::string>&> messages) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1624 | { |
| 1625 | if (backendPreferences.empty()) |
| 1626 | { |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1627 | throw InvalidArgumentException("Invoked Optimize with no backends specified"); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1628 | } |
| 1629 | |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1630 | if (options.m_ReduceFp32ToFp16 && options.m_ReduceFp32ToBf16) |
| 1631 | { |
| 1632 | throw InvalidArgumentException("BFloat16 and Float16 optimization cannot be enabled at the same time."); |
| 1633 | } |
| 1634 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1635 | std::unique_ptr<Graph> graph = std::make_unique<Graph>(inNetwork.pNetworkImpl->GetGraph()); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1636 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1637 | auto optNet = IOptimizedNetworkPtr(new IOptimizedNetwork(std::move(graph), options.m_ModelOptions), |
Sadik Armagan | 045f6be | 2020-09-10 13:37:32 +0100 | [diff] [blame] | 1638 | &IOptimizedNetwork::Destroy); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1639 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1640 | IOptimizedNetwork* optNetObjPtr = optNet.get(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1641 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1642 | // Get the optimized graph |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1643 | Graph& optGraph = optNetObjPtr->pOptimizedNetworkImpl->GetGraph(); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1644 | |
Finn Williams | d218d98 | 2021-08-09 13:00:08 +0100 | [diff] [blame] | 1645 | if(options.m_shapeInferenceMethod == ShapeInferenceMethod::InferAndValidate) |
| 1646 | { |
| 1647 | // Infer the tensor infos for all output slots. Throws an exception on failure |
| 1648 | optGraph.InferTensorInfos(); |
| 1649 | } |
Finn Williams | 84e025a | 2021-08-05 17:29:32 +0100 | [diff] [blame] | 1650 | |
Narumol Prangnawarat | 16f82f9 | 2020-09-14 16:12:44 +0100 | [diff] [blame] | 1651 | // Perform AddBroadcastReshapeLayer optimisation |
| 1652 | using namespace optimizations; |
| 1653 | Optimizer::Pass(optGraph, MakeOptimizations(AddBroadcastReshapeLayer())); |
| 1654 | |
Finn Williams | d218d98 | 2021-08-09 13:00:08 +0100 | [diff] [blame] | 1655 | if(options.m_shapeInferenceMethod == ShapeInferenceMethod::ValidateOnly) |
| 1656 | { |
| 1657 | // Validate the tensor infos for all output slots. Throws an exception on failure |
| 1658 | optGraph.InferTensorInfos(); |
| 1659 | } |
| 1660 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1661 | // Perform optimisation passes |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1662 | Optimizer::Pass(optGraph, MakeOptimizations(SquashEqualPermuteSiblings(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1663 | SquashEqualTransposeSiblings(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1664 | SquashEqualReshapeSiblings(), |
| 1665 | OptimizeInversePermutes(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1666 | OptimizeInverseTransposes(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1667 | MovePermuteUp(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1668 | MoveTransposeUp(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1669 | PermuteAsReshape(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1670 | TransposeAsReshape(), |
Nina Drozd | 861985f | 2019-04-18 14:48:51 +0100 | [diff] [blame] | 1671 | OptimizeConsecutiveReshapes(), |
Matthew Sloyan | 33f8987 | 2021-06-30 10:20:17 +0100 | [diff] [blame] | 1672 | RedirectMembersToConstantInputs(), |
Rob Hughes | 3a7d3a7 | 2019-09-24 16:59:56 +0100 | [diff] [blame] | 1673 | FoldPadIntoConvolution2d(), |
Teresa Charlin | 5786eb7 | 2021-05-21 16:29:45 +0100 | [diff] [blame] | 1674 | FoldPadIntoDepthwiseConvolution2d(), |
Diego Lopez Recas | fe95d72 | 2021-03-19 12:40:16 +0000 | [diff] [blame] | 1675 | FoldPadIntoPooling2d(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1676 | PermuteAndBatchToSpaceAsDepthToSpace(), |
Teresa Charlin | 06e0300 | 2020-10-15 13:16:07 +0100 | [diff] [blame] | 1677 | TransposeAndBatchToSpaceAsDepthToSpace(), |
Mike Kelly | 90231b8 | 2020-11-05 15:44:56 +0000 | [diff] [blame] | 1678 | FuseBatchNormIntoConvolution2DFloat32(), |
| 1679 | FuseBatchNormIntoConvolution2DFloat16(), |
| 1680 | FuseBatchNormIntoDepthwiseConvolution2DFloat32(), |
| 1681 | FuseBatchNormIntoDepthwiseConvolution2DFloat16())); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1682 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1683 | // If Fp32 to Fp16 optimization is set convert Fp32 network to Fp16 |
| 1684 | if (options.m_ReduceFp32ToFp16) |
| 1685 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1686 | Optimizer::Pass(optGraph, MakeOptimizations(Fp32NetworkToFp16Converter())); |
Derek Lamberti | dd6804b | 2019-11-27 09:29:57 +0000 | [diff] [blame] | 1687 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsFloatToHalf())); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1688 | } |
| 1689 | |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1690 | // If Fp32 to Bf16 optimization is set convert Fp32 network to Bf16 |
Narumol Prangnawarat | 57ef008 | 2020-03-26 09:20:43 +0000 | [diff] [blame] | 1691 | // Convert input of Convolution2d and FullyConnected from Fp32 to Bf16 |
| 1692 | // Only Constant weight of Convolution2d and FullyConnected are converted from Fp32 to Bf16 |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1693 | if (options.m_ReduceFp32ToBf16) |
| 1694 | { |
| 1695 | Optimizer::Pass(optGraph, MakeOptimizations(Fp32NetworkToBf16Converter())); |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1696 | } |
| 1697 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1698 | // Initialize backend settings |
| 1699 | BackendSettings backendSettings(backendPreferences, deviceSpec); |
| 1700 | if (backendSettings.GetAvailablePreferredBackends().empty()) |
| 1701 | { |
| 1702 | std::stringstream failureMsg; |
| 1703 | failureMsg << "None of the preferred backends " << backendPreferences |
| 1704 | << " are supported. Current platform provides " << backendSettings.m_SupportedBackends; |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1705 | ReportError(failureMsg.str(), messages); |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1706 | throw InvalidArgumentException(failureMsg.str()); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1707 | } |
| 1708 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1709 | // Create a map to temporarily hold initialized backend objects |
| 1710 | TensorHandleFactoryRegistry tensorHandleFactoryRegistry; |
| 1711 | BackendsMap backends = CreateSupportedBackends(tensorHandleFactoryRegistry, backendSettings); |
| 1712 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1713 | // Assign an available backend to each layer |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1714 | Graph::Iterator firstLayer = optGraph.begin(); |
| 1715 | Graph::Iterator lastLayer = optGraph.end(); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1716 | OptimizationResult assignBackendsResult = AssignBackends(optNetObjPtr->pOptimizedNetworkImpl.get(), |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1717 | backendSettings, |
| 1718 | firstLayer, |
| 1719 | lastLayer, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1720 | messages); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1721 | if (assignBackendsResult.m_Error) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1722 | { |
| 1723 | // Failed to assign a backend to each layer |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1724 | throw InvalidArgumentException("Failed to assign a backend to each layer"); |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 1725 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1726 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1727 | Optimizer::Pass(optGraph, MakeOptimizations(OptimizeInverseConversionsFp16(), |
| 1728 | OptimizeInverseConversionsFp32())); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1729 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1730 | // Apply the backend-specific optimizations |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1731 | OptimizationResult backendOptimizationResult = ApplyBackendOptimizations(optNetObjPtr->pOptimizedNetworkImpl.get(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1732 | backendSettings, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1733 | backends, |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1734 | options.m_ModelOptions, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1735 | messages); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1736 | if (backendOptimizationResult.m_Error) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1737 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1738 | // Failed to apply the backend-specific optimizations |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1739 | throw InvalidArgumentException("Failed to apply the backend-specific optimizations"); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1740 | } |
| 1741 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1742 | // If the debug flag is set, then insert a DebugLayer after each layer |
| 1743 | // Doing this after applying the backend optimizations as they might have changed some layers |
| 1744 | if (options.m_Debug) |
| 1745 | { |
| 1746 | Optimizer::Pass(optGraph, MakeOptimizations(InsertDebugLayer())); |
| 1747 | } |
| 1748 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1749 | // Calculate the compatibility strategies for tensor handles |
| 1750 | OptimizationResult strategyResult = SelectTensorHandleStrategy(optGraph, |
| 1751 | backends, |
| 1752 | tensorHandleFactoryRegistry, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1753 | options.m_ImportEnabled, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1754 | messages); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1755 | if (strategyResult.m_Error) |
| 1756 | { |
| 1757 | // Failed to apply the backend-specific optimizations |
| 1758 | return IOptimizedNetworkPtr(nullptr, &IOptimizedNetwork::Destroy); |
| 1759 | } |
| 1760 | |
| 1761 | // Based on the tensor handle strategy determined above, insert copy layers where required. |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1762 | optGraph.AddCompatibilityLayers(backends, tensorHandleFactoryRegistry); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1763 | |
| 1764 | // Convert constants |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1765 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsFloatToHalf())); |
| 1766 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsHalfToFloat())); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1767 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1768 | // Run backend specific optimizations (deprecated) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1769 | for (auto&& chosenBackend : backendSettings.m_SelectedBackends) |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1770 | { |
| 1771 | auto factoryFun = BackendRegistryInstance().GetFactory(chosenBackend); |
| 1772 | auto backendPtr = factoryFun(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1773 | ARMNN_ASSERT(backendPtr.get() != nullptr); |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1774 | |
Matteo Martincigh | ed73504 | 2019-05-22 09:42:43 +0100 | [diff] [blame] | 1775 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1776 | auto backendSpecificOptimizations = backendPtr->GetOptimizations(); |
Matteo Martincigh | ed73504 | 2019-05-22 09:42:43 +0100 | [diff] [blame] | 1777 | ARMNN_NO_DEPRECATE_WARN_END |
| 1778 | |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1779 | if (!backendSpecificOptimizations.empty()) |
| 1780 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1781 | Optimizer::Pass(optNetObjPtr->pOptimizedNetworkImpl->GetGraph(), backendSpecificOptimizations); |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1782 | } |
| 1783 | } |
| 1784 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1785 | return optNet; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1786 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1787 | bool NetworkImpl::GetShapeInferenceMethod() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1788 | { |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 1789 | if (m_NetworkOptions.size() > 0 && m_NetworkOptions[0].GetBackendId().Get() == "ShapeInferenceMethod") |
| 1790 | { |
| 1791 | return m_NetworkOptions[0].GetOption(0).GetValue().AsBool(); |
| 1792 | } |
| 1793 | |
| 1794 | return false; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1795 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1796 | NetworkImpl::NetworkImpl(NetworkOptions networkOptions) |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 1797 | : m_NetworkOptions(networkOptions), |
| 1798 | m_Graph(std::make_unique<Graph>(GetShapeInferenceMethod())) |
| 1799 | {} |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1800 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1801 | NetworkImpl::~NetworkImpl() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1802 | { |
| 1803 | } |
| 1804 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1805 | Status NetworkImpl::PrintGraph() |
Jan Eilers | 99d9d4a | 2019-11-06 10:02:16 +0000 | [diff] [blame] | 1806 | { |
| 1807 | m_Graph->Print(); |
| 1808 | return Status::Success; |
| 1809 | } |
| 1810 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1811 | IConnectableLayer* NetworkImpl::AddInputLayer(LayerBindingId id, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1812 | { |
| 1813 | return m_Graph->AddLayer<InputLayer>(id, name); |
| 1814 | } |
| 1815 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1816 | IConnectableLayer* NetworkImpl::AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor& batchToSpaceNdDescriptor, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 1817 | const char* name) |
| 1818 | { |
| 1819 | return m_Graph->AddLayer<BatchToSpaceNdLayer>(batchToSpaceNdDescriptor, name); |
| 1820 | } |
| 1821 | |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 1822 | IConnectableLayer* NetworkImpl::AddCastLayer(const char* name) |
| 1823 | { |
| 1824 | return m_Graph->AddLayer<CastLayer>(name); |
| 1825 | } |
Simon Obute | 51f6777 | 2021-09-03 15:50:13 +0100 | [diff] [blame^] | 1826 | IConnectableLayer* NetworkImpl::AddChannelShuffleLayer(const ChannelShuffleDescriptor& channelShuffleDescriptor, |
| 1827 | const char* name) |
| 1828 | { |
| 1829 | return m_Graph->AddLayer<ChannelShuffleLayer>(channelShuffleDescriptor, name); |
| 1830 | } |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 1831 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1832 | IConnectableLayer* NetworkImpl::AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor, |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 1833 | const char* name) |
| 1834 | { |
| 1835 | return m_Graph->AddLayer<ComparisonLayer>(comparisonDescriptor, name); |
| 1836 | } |
| 1837 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1838 | IConnectableLayer* NetworkImpl::AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& elementwiseUnaryDescriptor, |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 1839 | const char* name) |
| 1840 | { |
| 1841 | return m_Graph->AddLayer<ElementwiseUnaryLayer>(elementwiseUnaryDescriptor, name); |
| 1842 | } |
| 1843 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1844 | IConnectableLayer* NetworkImpl::AddFillLayer(const FillDescriptor& fillDescriptor, |
Ryan OShea | ec6c680 | 2020-06-05 17:17:06 +0100 | [diff] [blame] | 1845 | const char* name) |
| 1846 | { |
| 1847 | return m_Graph->AddLayer<FillLayer>(fillDescriptor, name); |
| 1848 | } |
| 1849 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1850 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
| 1851 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1852 | { |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1853 | return m_Graph->AddLayer<FullyConnectedLayer>(fullyConnectedDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1854 | } |
| 1855 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1856 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1857 | const Optional<ConstTensor>& weights, |
| 1858 | const Optional<ConstTensor>& biases, |
| 1859 | const char* name) |
| 1860 | { |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1861 | ConstantLayer* weightsLayer = nullptr; |
| 1862 | ConstantLayer* biasLayer = nullptr; |
| 1863 | unsigned int numInputs = fullyConnectedDescriptor.GetNumInputs(); |
| 1864 | |
| 1865 | // Add a constant layer for weights |
| 1866 | if (weights.has_value()) |
| 1867 | { |
| 1868 | weightsLayer = m_Graph->AddLayer<ConstantLayer>("Weights"); |
| 1869 | weightsLayer->m_LayerOutput = std::make_shared<ScopedTensorHandle>(weights.value()); |
Matthew Sloyan | b20d1d4 | 2021-08-09 15:33:41 +0100 | [diff] [blame] | 1870 | |
| 1871 | TensorInfo weightsInfo = weightsLayer->m_LayerOutput->GetTensorInfo(); |
| 1872 | weightsInfo.SetConstant(); |
| 1873 | |
| 1874 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1875 | } |
| 1876 | else if (fullyConnectedDescriptor.m_ConstantWeights) |
| 1877 | { |
| 1878 | throw InvalidArgumentException("AddFullyConnectedLayer: Constant weights tensor is empty."); |
| 1879 | } |
| 1880 | |
| 1881 | // Add a constant layer for biases |
| 1882 | if (biases.has_value() && fullyConnectedDescriptor.m_BiasEnabled) |
| 1883 | { |
| 1884 | biasLayer = m_Graph->AddLayer<ConstantLayer>("Biases"); |
| 1885 | biasLayer->m_LayerOutput = std::make_shared<ScopedTensorHandle>(biases.value()); |
Matthew Sloyan | b20d1d4 | 2021-08-09 15:33:41 +0100 | [diff] [blame] | 1886 | |
| 1887 | TensorInfo biasInfo = biasLayer->m_LayerOutput->GetTensorInfo(); |
| 1888 | biasInfo.SetConstant(); |
| 1889 | |
| 1890 | biasLayer->GetOutputSlot(0).SetTensorInfo(biasInfo); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1891 | } |
| 1892 | |
| 1893 | if (numInputs < 2) |
| 1894 | { |
| 1895 | throw InvalidArgumentException("AddFullyConnectedLayer: Requires at least 2 input tensors: Input, Weights"); |
| 1896 | } |
| 1897 | |
| 1898 | auto layer = m_Graph->AddLayer<FullyConnectedLayer>(fullyConnectedDescriptor, name); |
| 1899 | |
| 1900 | if (weightsLayer) |
| 1901 | { |
| 1902 | // Connect weights layer |
| 1903 | weightsLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(1)); |
| 1904 | } |
| 1905 | |
| 1906 | if ( fullyConnectedDescriptor.m_BiasEnabled && numInputs == 3 ) |
| 1907 | { |
| 1908 | if (biasLayer) |
| 1909 | { |
| 1910 | // Connect bias layer |
| 1911 | biasLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(2)); |
| 1912 | } |
| 1913 | } |
| 1914 | else if ( !fullyConnectedDescriptor.m_BiasEnabled && numInputs == 2 ) |
| 1915 | { |
| 1916 | // Bias is disabled |
| 1917 | layer->m_Bias = nullptr; |
| 1918 | } |
| 1919 | else |
| 1920 | { |
| 1921 | throw InvalidArgumentException(fmt::format( |
| 1922 | "AddFullyConnectedLayer: Value mismatch. When bias is enabled in the " |
| 1923 | "descriptor the number of inputs is expected to be 3 otherwise 2. " |
| 1924 | "BiasEnabled={}, numInputs={}", |
| 1925 | fullyConnectedDescriptor.m_BiasEnabled, |
| 1926 | numInputs)); |
| 1927 | } |
| 1928 | |
| 1929 | return layer; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1930 | } |
| 1931 | |
| 1932 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1933 | const ConstTensor& weights, |
| 1934 | const Optional<ConstTensor>& biases, |
| 1935 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1936 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1937 | Optional<ConstTensor> optionalWeights(weights); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1938 | return AddFullyConnectedLayer(fullyConnectedDescriptor, optionalWeights, biases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1939 | } |
| 1940 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1941 | IConnectableLayer* NetworkImpl::AddConcatLayer(const ConcatDescriptor& concatDescriptor, |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1942 | const char* name) |
| 1943 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1944 | return m_Graph->AddLayer<ConcatLayer>(concatDescriptor, name); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1945 | } |
| 1946 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1947 | IConnectableLayer* NetworkImpl::AddConvolution2dLayerImpl(const Convolution2dDescriptor& convolution2dDescriptor, |
| 1948 | const ConstTensor& weights, |
| 1949 | const Optional<ConstTensor>& biases, |
| 1950 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1951 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1952 | if (convolution2dDescriptor.m_BiasEnabled && !biases.has_value()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1953 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1954 | throw InvalidArgumentException("AddConvolution2dLayer: biases cannot be empty"); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1955 | } |
| 1956 | |
| 1957 | const auto layer = m_Graph->AddLayer<Convolution2dLayer>(convolution2dDescriptor, name); |
| 1958 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1959 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1960 | |
| 1961 | if (convolution2dDescriptor.m_BiasEnabled) |
| 1962 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1963 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1964 | } |
| 1965 | |
| 1966 | return layer; |
| 1967 | } |
| 1968 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1969 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1970 | const ConstTensor& weights, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1971 | const Optional<ConstTensor>& biases, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1972 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1973 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1974 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1975 | } |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1976 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1977 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1978 | const ConstTensor& weights, |
| 1979 | const char* name) |
| 1980 | { |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 1981 | Optional<ConstTensor> biases; |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1982 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
| 1983 | } |
| 1984 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1985 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1986 | const ConstTensor& weights, |
| 1987 | const ConstTensor& biases, |
| 1988 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1989 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1990 | Optional<ConstTensor> optionalBiases(biases); |
| 1991 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, optionalBiases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1992 | } |
| 1993 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1994 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayerImpl( |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1995 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1996 | const ConstTensor& weights, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1997 | const Optional<ConstTensor>& biases, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1998 | const char* name) |
| 1999 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 2000 | if (convolution2dDescriptor.m_BiasEnabled && !biases.has_value()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2001 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 2002 | throw InvalidArgumentException("AddDepthwiseConvolution2dLayer: biases cannot be empty"); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2003 | } |
| 2004 | |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 2005 | const auto layer = m_Graph->AddLayer<DepthwiseConvolution2dLayer>(convolution2dDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2006 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2007 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2008 | |
| 2009 | if (convolution2dDescriptor.m_BiasEnabled) |
| 2010 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2011 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2012 | } |
| 2013 | |
| 2014 | return layer; |
| 2015 | } |
| 2016 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2017 | IConnectableLayer* NetworkImpl::AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor, |
Aron Virginas-Tar | dd6247f | 2019-09-19 14:31:17 +0100 | [diff] [blame] | 2018 | const char* name) |
| 2019 | { |
| 2020 | return m_Graph->AddLayer<DepthToSpaceLayer>(depthToSpaceDescriptor, name); |
| 2021 | } |
| 2022 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2023 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayer( |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 2024 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 2025 | const ConstTensor& weights, |
| 2026 | const Optional<ConstTensor>& biases, |
| 2027 | const char* name) |
| 2028 | { |
| 2029 | return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
| 2030 | } |
| 2031 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2032 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayer( |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2033 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 2034 | const ConstTensor& weights, |
| 2035 | const char* name) |
| 2036 | { |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 2037 | Optional<ConstTensor> biases; |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 2038 | return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2039 | } |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 2040 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2041 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayer( |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2042 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 2043 | const ConstTensor& weights, |
| 2044 | const ConstTensor& biases, |
| 2045 | const char* name) |
| 2046 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 2047 | Optional<ConstTensor> optionalBiases(biases); |
| 2048 | return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, optionalBiases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2049 | } |
| 2050 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2051 | IConnectableLayer* NetworkImpl::AddDetectionPostProcessLayer(const armnn::DetectionPostProcessDescriptor& descriptor, |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 2052 | const ConstTensor& anchors, const char* name) |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 2053 | { |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 2054 | const auto layer = m_Graph->AddLayer<DetectionPostProcessLayer>(descriptor, name); |
| 2055 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2056 | layer->m_Anchors = std::make_shared<ScopedTensorHandle>(anchors); |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 2057 | |
| 2058 | return layer; |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 2059 | } |
| 2060 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2061 | IConnectableLayer* NetworkImpl::AddPermuteLayer(const PermuteDescriptor& permuteDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2062 | const char* name) |
| 2063 | { |
| 2064 | return m_Graph->AddLayer<PermuteLayer>(permuteDescriptor, name); |
| 2065 | } |
| 2066 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2067 | IConnectableLayer* NetworkImpl::AddPooling2dLayer(const Pooling2dDescriptor& pooling2dDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2068 | const char* name) |
| 2069 | { |
| 2070 | return m_Graph->AddLayer<Pooling2dLayer>(pooling2dDescriptor, name); |
| 2071 | } |
| 2072 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2073 | IConnectableLayer* NetworkImpl::AddActivationLayer(const ActivationDescriptor& activationDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2074 | const char* name) |
| 2075 | { |
| 2076 | return m_Graph->AddLayer<ActivationLayer>(activationDescriptor, name); |
| 2077 | } |
| 2078 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2079 | IConnectableLayer* NetworkImpl::AddArgMinMaxLayer(const ArgMinMaxDescriptor& argMinMaxDescriptor, |
Nikhil Raj | ee391d5 | 2019-09-05 17:50:44 +0100 | [diff] [blame] | 2080 | const char* name) |
| 2081 | { |
| 2082 | return m_Graph->AddLayer<ArgMinMaxLayer>(argMinMaxDescriptor, name); |
| 2083 | } |
| 2084 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2085 | IConnectableLayer* NetworkImpl::AddNormalizationLayer(const NormalizationDescriptor& |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2086 | normalizationDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2087 | const char* name) |
| 2088 | { |
| 2089 | return m_Graph->AddLayer<NormalizationLayer>(normalizationDescriptor, name); |
| 2090 | } |
| 2091 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2092 | IConnectableLayer* NetworkImpl::AddSliceLayer(const SliceDescriptor& sliceDescriptor, const char* name) |
Aron Virginas-Tar | 636ab40 | 2019-09-16 14:27:45 +0100 | [diff] [blame] | 2093 | { |
| 2094 | return m_Graph->AddLayer<SliceLayer>(sliceDescriptor, name); |
| 2095 | } |
| 2096 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2097 | IConnectableLayer* NetworkImpl::AddSoftmaxLayer(const SoftmaxDescriptor& softmaxDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2098 | const char* name) |
| 2099 | { |
| 2100 | return m_Graph->AddLayer<SoftmaxLayer>(softmaxDescriptor, name); |
| 2101 | } |
| 2102 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2103 | IConnectableLayer* NetworkImpl::AddSplitterLayer(const ViewsDescriptor& splitterDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2104 | const char* name) |
| 2105 | { |
| 2106 | return m_Graph->AddLayer<SplitterLayer>(splitterDescriptor, name); |
| 2107 | } |
| 2108 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2109 | IConnectableLayer* NetworkImpl::AddMaximumLayer(const char* name) |
Nattapat Chaimanowong | 5a4304a | 2018-11-28 10:44:37 +0000 | [diff] [blame] | 2110 | { |
| 2111 | return m_Graph->AddLayer<MaximumLayer>(name); |
| 2112 | } |
| 2113 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2114 | IConnectableLayer* NetworkImpl::AddMinimumLayer(const char* name) |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2115 | { |
| 2116 | return m_Graph->AddLayer<MinimumLayer>(name); |
| 2117 | } |
| 2118 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2119 | IConnectableLayer* NetworkImpl::AddMergerLayer(const MergerDescriptor& mergerDescriptor, |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 2120 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2121 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 2122 | return AddConcatLayer(mergerDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2123 | } |
| 2124 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2125 | IConnectableLayer* NetworkImpl::AddAbsLayer(const char * name) |
Kevin May | 868eb14 | 2019-09-04 17:29:31 +0100 | [diff] [blame] | 2126 | { |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 2127 | return AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Abs), name); |
Kevin May | 868eb14 | 2019-09-04 17:29:31 +0100 | [diff] [blame] | 2128 | } |
| 2129 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2130 | IConnectableLayer* NetworkImpl::AddAdditionLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2131 | { |
| 2132 | return m_Graph->AddLayer<AdditionLayer>(name); |
| 2133 | } |
| 2134 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2135 | IConnectableLayer* NetworkImpl::AddMultiplicationLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2136 | { |
| 2137 | return m_Graph->AddLayer<MultiplicationLayer>(name); |
| 2138 | } |
| 2139 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2140 | IConnectableLayer* NetworkImpl::AddOutputLayer(LayerBindingId id, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2141 | { |
| 2142 | return m_Graph->AddLayer<OutputLayer>(id, name); |
| 2143 | } |
| 2144 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2145 | IConnectableLayer* NetworkImpl::AddBatchNormalizationLayer(const BatchNormalizationDescriptor& desc, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2146 | const ConstTensor& mean, |
| 2147 | const ConstTensor& variance, |
| 2148 | const ConstTensor& beta, |
| 2149 | const ConstTensor& gamma, |
| 2150 | const char* name) |
| 2151 | { |
| 2152 | const auto layer = m_Graph->AddLayer<BatchNormalizationLayer>(desc, name); |
| 2153 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2154 | layer->m_Mean = std::make_shared<ScopedTensorHandle>(mean); |
| 2155 | layer->m_Variance = std::make_shared<ScopedTensorHandle>(variance); |
| 2156 | layer->m_Beta = std::make_shared<ScopedTensorHandle>(beta); |
| 2157 | layer->m_Gamma = std::make_shared<ScopedTensorHandle>(gamma); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2158 | |
| 2159 | return layer; |
| 2160 | } |
| 2161 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2162 | IConnectableLayer* NetworkImpl::AddRankLayer(const char* name) |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2163 | { |
| 2164 | return m_Graph->AddLayer<RankLayer>(name); |
| 2165 | } |
| 2166 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2167 | IConnectableLayer* NetworkImpl::AddReduceLayer(const ReduceDescriptor& reduceDescriptor, |
| 2168 | const char* name) |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2169 | { |
| 2170 | return m_Graph->AddLayer<ReduceLayer>(reduceDescriptor, name); |
| 2171 | } |
| 2172 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2173 | IConnectableLayer* NetworkImpl::AddResizeBilinearLayer(const ResizeBilinearDescriptor& descriptor, |
| 2174 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2175 | { |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2176 | ResizeDescriptor resizeDescriptor; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 2177 | resizeDescriptor.m_Method = ResizeMethod::Bilinear; |
| 2178 | resizeDescriptor.m_DataLayout = descriptor.m_DataLayout; |
| 2179 | resizeDescriptor.m_TargetWidth = descriptor.m_TargetWidth; |
| 2180 | resizeDescriptor.m_TargetHeight = descriptor.m_TargetHeight; |
| 2181 | resizeDescriptor.m_AlignCorners = descriptor.m_AlignCorners; |
| 2182 | resizeDescriptor.m_HalfPixelCenters = descriptor.m_HalfPixelCenters; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2183 | |
| 2184 | return m_Graph->AddLayer<ResizeLayer>(resizeDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2185 | } |
| 2186 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2187 | IConnectableLayer* NetworkImpl::AddResizeLayer(const ResizeDescriptor& resizeDescriptor, const char* name) |
Teresa Charlin | a9075df | 2019-06-27 15:41:57 +0100 | [diff] [blame] | 2188 | { |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2189 | return m_Graph->AddLayer<ResizeLayer>(resizeDescriptor, name); |
Teresa Charlin | a9075df | 2019-06-27 15:41:57 +0100 | [diff] [blame] | 2190 | } |
| 2191 | |
Keith Davis | 3ae3f97 | 2021-05-21 16:33:48 +0100 | [diff] [blame] | 2192 | IConnectableLayer* NetworkImpl::AddShapeLayer(const char* name) |
| 2193 | { |
| 2194 | return m_Graph->AddLayer<ShapeLayer>(name); |
| 2195 | } |
| 2196 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2197 | IConnectableLayer* NetworkImpl::AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc, |
| 2198 | const char* name) |
Kevin May | ce5045a | 2019-10-02 14:07:47 +0100 | [diff] [blame] | 2199 | { |
| 2200 | return m_Graph->AddLayer<InstanceNormalizationLayer>(desc, name); |
| 2201 | } |
| 2202 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2203 | IConnectableLayer* NetworkImpl::AddL2NormalizationLayer(const L2NormalizationDescriptor& desc, |
| 2204 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2205 | { |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 2206 | return m_Graph->AddLayer<L2NormalizationLayer>(desc, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2207 | } |
| 2208 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2209 | IConnectableLayer* NetworkImpl::AddLogSoftmaxLayer(const LogSoftmaxDescriptor& desc, |
Aron Virginas-Tar | f982dea | 2019-10-11 14:07:53 +0100 | [diff] [blame] | 2210 | const char* name) |
| 2211 | { |
| 2212 | return m_Graph->AddLayer<LogSoftmaxLayer>(desc, name); |
| 2213 | } |
| 2214 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2215 | IConnectableLayer* NetworkImpl::AddConstantLayer(const ConstTensor& input, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2216 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2217 | auto layer = m_Graph->AddLayer<ConstantLayer>(name); |
| 2218 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2219 | layer->m_LayerOutput = std::make_shared<ScopedTensorHandle>(input); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2220 | |
| 2221 | return layer; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2222 | } |
| 2223 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2224 | IConnectableLayer* NetworkImpl::AddReshapeLayer(const ReshapeDescriptor& reshapeDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2225 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2226 | { |
| 2227 | return m_Graph->AddLayer<ReshapeLayer>(reshapeDescriptor, name); |
| 2228 | } |
| 2229 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2230 | IConnectableLayer* NetworkImpl::AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
Nattapat Chaimanowong | 207ef9a | 2018-11-02 10:57:25 +0000 | [diff] [blame] | 2231 | const char* name) |
| 2232 | { |
| 2233 | return m_Graph->AddLayer<SpaceToBatchNdLayer>(spaceToBatchNdDescriptor, name); |
| 2234 | } |
| 2235 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2236 | IConnectableLayer* NetworkImpl::AddSpaceToDepthLayer(const SpaceToDepthDescriptor& spaceToDepthDescriptor, |
Aron Virginas-Tar | 972af15 | 2019-06-11 14:14:03 +0100 | [diff] [blame] | 2237 | const char* name) |
| 2238 | { |
| 2239 | return m_Graph->AddLayer<SpaceToDepthLayer>(spaceToDepthDescriptor, name); |
| 2240 | } |
| 2241 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2242 | IConnectableLayer* NetworkImpl::AddFloorLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2243 | { |
| 2244 | return m_Graph->AddLayer<FloorLayer>(name); |
| 2245 | } |
| 2246 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2247 | IConnectableLayer* NetworkImpl::AddLstmLayer(const LstmDescriptor& descriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2248 | const LstmInputParams& params, |
| 2249 | const char* name) |
| 2250 | { |
| 2251 | const auto layer = m_Graph->AddLayer<LstmLayer>(descriptor, name); |
| 2252 | |
| 2253 | //Lstm Basic Parameters |
| 2254 | layer->m_BasicParameters.m_InputToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2255 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToForgetWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2256 | layer->m_BasicParameters.m_InputToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2257 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToCellWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2258 | layer->m_BasicParameters.m_InputToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2259 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToOutputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2260 | layer->m_BasicParameters.m_RecurrentToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2261 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToForgetWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2262 | layer->m_BasicParameters.m_RecurrentToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2263 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToCellWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2264 | layer->m_BasicParameters.m_RecurrentToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2265 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToOutputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2266 | layer->m_BasicParameters.m_ForgetGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2267 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetGateBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2268 | layer->m_BasicParameters.m_CellBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2269 | std::make_shared<ScopedTensorHandle>(*(params.m_CellBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2270 | layer->m_BasicParameters.m_OutputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2271 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputGateBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2272 | |
| 2273 | //Lstm Cifg parameters |
| 2274 | if(!descriptor.m_CifgEnabled) |
| 2275 | { |
| 2276 | if(params.m_InputToInputWeights == nullptr) |
| 2277 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2278 | throw InvalidArgumentException("AddLstmLayer: Input To Input Weights cannot be NULL " |
| 2279 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2280 | } |
| 2281 | if(params.m_RecurrentToInputWeights == nullptr) |
| 2282 | { |
| 2283 | throw InvalidArgumentException( |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2284 | "AddLstmLayer: Recurrent To Input Weights cannot be NULL " |
| 2285 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2286 | } |
| 2287 | if(params.m_InputGateBias == nullptr) |
| 2288 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2289 | throw InvalidArgumentException("AddLstmLayer: Input Gate Bias cannot be NULL " |
| 2290 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2291 | } |
| 2292 | layer->m_CifgParameters.m_InputToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2293 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToInputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2294 | layer->m_CifgParameters.m_RecurrentToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2295 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToInputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2296 | layer->m_CifgParameters.m_InputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2297 | std::make_shared<ScopedTensorHandle>(*(params.m_InputGateBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2298 | } |
| 2299 | |
| 2300 | //Lstm projection parameters |
| 2301 | if(descriptor.m_ProjectionEnabled) |
| 2302 | { |
| 2303 | if(params.m_ProjectionWeights == nullptr) |
| 2304 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2305 | throw InvalidArgumentException("AddLstmLayer: Projection Weights cannot be NULL " |
| 2306 | "when projection is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2307 | } |
| 2308 | layer->m_ProjectionParameters.m_ProjectionWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2309 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2310 | if(params.m_ProjectionBias != nullptr) |
| 2311 | { |
| 2312 | layer->m_ProjectionParameters.m_ProjectionBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2313 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2314 | } |
| 2315 | } |
| 2316 | |
| 2317 | //Lstm Peephole params |
| 2318 | if(descriptor.m_PeepholeEnabled) |
| 2319 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2320 | if(!descriptor.m_CifgEnabled) |
| 2321 | { |
| 2322 | if(params.m_CellToInputWeights == nullptr) |
| 2323 | { |
| 2324 | throw InvalidArgumentException("AddLstmLayer: Cell To Input Weights cannot be NULL " |
| 2325 | "when Peephole is enabled and CIFG disabled."); |
| 2326 | } |
| 2327 | |
| 2328 | layer->m_PeepholeParameters.m_CellToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2329 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToInputWeights)); |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2330 | } |
| 2331 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2332 | if(params.m_CellToForgetWeights == nullptr) |
| 2333 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2334 | throw InvalidArgumentException("AddLstmLayer: Cell To Forget Weights cannot be NULL " |
| 2335 | "when Peephole is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2336 | } |
| 2337 | if(params.m_CellToOutputWeights == nullptr) |
| 2338 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2339 | throw InvalidArgumentException("AddLstmLayer: Cell To Output Weights cannot be NULL " |
| 2340 | "when Peephole is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2341 | } |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2342 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2343 | layer->m_PeepholeParameters.m_CellToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2344 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToForgetWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2345 | layer->m_PeepholeParameters.m_CellToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2346 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToOutputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2347 | } |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2348 | |
| 2349 | //Lstm Layer Normalization params |
| 2350 | if(descriptor.m_LayerNormEnabled) |
| 2351 | { |
| 2352 | if(!descriptor.m_CifgEnabled) |
| 2353 | { |
| 2354 | if(params.m_InputLayerNormWeights == nullptr) |
| 2355 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2356 | throw InvalidArgumentException("AddLstmLayer: Input layer normalization weights cannot be NULL " |
| 2357 | "when layer normalization is enabled and CIFG disabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2358 | } |
| 2359 | layer->m_LayerNormParameters.m_InputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2360 | std::make_shared<ScopedTensorHandle>(*(params.m_InputLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2361 | } |
| 2362 | |
| 2363 | if(params.m_ForgetLayerNormWeights == nullptr) |
| 2364 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2365 | throw InvalidArgumentException("AddLstmLayer: Forget layer normalization weights cannot be NULL " |
| 2366 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2367 | } |
| 2368 | if(params.m_CellLayerNormWeights == nullptr) |
| 2369 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2370 | throw InvalidArgumentException("AddLstmLayer: Cell layer normalization weights cannot be NULL " |
| 2371 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2372 | } |
| 2373 | if(params.m_OutputLayerNormWeights == nullptr) |
| 2374 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2375 | throw InvalidArgumentException("AddLstmLayer: Output layer normalization weights cannot be NULL " |
| 2376 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2377 | } |
| 2378 | layer->m_LayerNormParameters.m_ForgetLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2379 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2380 | layer->m_LayerNormParameters.m_CellLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2381 | std::make_shared<ScopedTensorHandle>(*(params.m_CellLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2382 | layer->m_LayerNormParameters.m_OutputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2383 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2384 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2385 | return layer; |
| 2386 | } |
| 2387 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2388 | IConnectableLayer* NetworkImpl::AddDivisionLayer(const char* name) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2389 | { |
| 2390 | return m_Graph->AddLayer<DivisionLayer>(name); |
| 2391 | } |
| 2392 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2393 | IConnectableLayer* NetworkImpl::AddSubtractionLayer(const char* name) |
David Beck | 1952622 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2394 | { |
| 2395 | return m_Graph->AddLayer<SubtractionLayer>(name); |
| 2396 | } |
| 2397 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2398 | IConnectableLayer* NetworkImpl::AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name) |
narpra01 | 32b9046 | 2018-09-13 11:07:48 +0100 | [diff] [blame] | 2399 | { |
| 2400 | return m_Graph->AddLayer<MeanLayer>(meanDescriptor,name); |
| 2401 | } |
| 2402 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2403 | IConnectableLayer* NetworkImpl::AddPadLayer(const PadDescriptor& padDescriptor, const char* name) |
Mohamed Nour Abouelseoud | 5662c20 | 2018-09-24 13:30:09 +0100 | [diff] [blame] | 2404 | { |
| 2405 | return m_Graph->AddLayer<PadLayer>(padDescriptor,name); |
| 2406 | } |
| 2407 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2408 | IConnectableLayer *NetworkImpl::AddQuantizeLayer(const char *name) |
Derek Lamberti | a9cca6a | 2019-03-25 15:41:58 +0000 | [diff] [blame] | 2409 | { |
| 2410 | return m_Graph->AddLayer<QuantizeLayer>(name); |
| 2411 | } |
| 2412 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2413 | IConnectableLayer* NetworkImpl::AddDequantizeLayer(const char* name) |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 2414 | { |
| 2415 | return m_Graph->AddLayer<DequantizeLayer>(name); |
| 2416 | } |
| 2417 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2418 | IConnectableLayer* NetworkImpl::AddStridedSliceLayer(const StridedSliceDescriptor& stridedSliceDescriptor, |
Conor Kennedy | 430b5d8 | 2018-11-14 15:28:28 +0000 | [diff] [blame] | 2419 | const char* name) |
| 2420 | { |
| 2421 | return m_Graph->AddLayer<StridedSliceLayer>(stridedSliceDescriptor, name); |
| 2422 | } |
| 2423 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2424 | IConnectableLayer* NetworkImpl::AddGreaterLayer(const char* name) |
Matteo Martincigh | 59a950c | 2018-12-13 12:48:25 +0000 | [diff] [blame] | 2425 | { |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 2426 | return AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Greater), name); |
Matteo Martincigh | 59a950c | 2018-12-13 12:48:25 +0000 | [diff] [blame] | 2427 | } |
| 2428 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2429 | IConnectableLayer* NetworkImpl::AddEqualLayer(const char* name) |
FrancisMurtagh | 2099595 | 2018-12-17 12:11:36 +0000 | [diff] [blame] | 2430 | { |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 2431 | return AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Equal), name); |
FrancisMurtagh | 2099595 | 2018-12-17 12:11:36 +0000 | [diff] [blame] | 2432 | } |
| 2433 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2434 | IConnectableLayer* NetworkImpl::AddRsqrtLayer(const char * name) |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 2435 | { |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 2436 | return AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt), name); |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 2437 | } |
| 2438 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2439 | IConnectableLayer* NetworkImpl::AddGatherLayer(const char* name) |
narpra01 | b89b05f | 2019-01-16 09:53:09 +0000 | [diff] [blame] | 2440 | { |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 2441 | GatherDescriptor gatherDescriptor{}; |
| 2442 | return AddGatherLayer(gatherDescriptor, name); |
| 2443 | } |
| 2444 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2445 | IConnectableLayer* NetworkImpl::AddGatherLayer(const GatherDescriptor& gatherDescriptor, |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 2446 | const char* name) |
| 2447 | { |
| 2448 | return m_Graph->AddLayer<GatherLayer>(gatherDescriptor, name); |
narpra01 | b89b05f | 2019-01-16 09:53:09 +0000 | [diff] [blame] | 2449 | } |
| 2450 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2451 | IConnectableLayer* NetworkImpl::AddMergeLayer(const char* name) |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 2452 | { |
| 2453 | return m_Graph->AddLayer<MergeLayer>(name); |
| 2454 | } |
| 2455 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2456 | IConnectableLayer* NetworkImpl::AddSwitchLayer(const char* name) |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2457 | { |
| 2458 | return m_Graph->AddLayer<SwitchLayer>(name); |
| 2459 | } |
| 2460 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2461 | IConnectableLayer* NetworkImpl::AddPreluLayer(const char* name) |
Matteo Martincigh | 0e406ee | 2019-06-12 15:42:18 +0100 | [diff] [blame] | 2462 | { |
| 2463 | return m_Graph->AddLayer<PreluLayer>(name); |
| 2464 | } |
| 2465 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2466 | IConnectableLayer* NetworkImpl::AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& descriptor, |
Aron Virginas-Tar | 639fb04 | 2019-06-20 14:28:19 +0100 | [diff] [blame] | 2467 | const ConstTensor& weights, |
| 2468 | const Optional<ConstTensor>& biases, |
| 2469 | const char* name) |
| 2470 | { |
| 2471 | if (descriptor.m_BiasEnabled && !biases.has_value()) |
| 2472 | { |
| 2473 | throw InvalidArgumentException("AddTransposeConvolution2dLayer: Biases cannot be empty"); |
| 2474 | } |
| 2475 | |
| 2476 | const auto layer = m_Graph->AddLayer<TransposeConvolution2dLayer>(descriptor, name); |
| 2477 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2478 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); |
Aron Virginas-Tar | 639fb04 | 2019-06-20 14:28:19 +0100 | [diff] [blame] | 2479 | |
| 2480 | if (descriptor.m_BiasEnabled) |
| 2481 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2482 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
Aron Virginas-Tar | 639fb04 | 2019-06-20 14:28:19 +0100 | [diff] [blame] | 2483 | } |
| 2484 | |
| 2485 | return layer; |
| 2486 | } |
| 2487 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2488 | IConnectableLayer* NetworkImpl::AddTransposeLayer(const TransposeDescriptor& transposeDescriptor, |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2489 | const char* name) |
| 2490 | { |
| 2491 | return m_Graph->AddLayer<TransposeLayer>(transposeDescriptor, name); |
| 2492 | } |
| 2493 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2494 | IConnectableLayer* NetworkImpl::AddStackLayer(const StackDescriptor& stackDescriptor, |
Matthew Jackson | 2b8c1da | 2019-07-04 14:59:16 +0100 | [diff] [blame] | 2495 | const char* name) |
| 2496 | { |
| 2497 | return m_Graph->AddLayer<StackLayer>(stackDescriptor, name); |
| 2498 | } |
| 2499 | |
Derek Lamberti | 013c390 | 2019-10-21 10:46:16 +0100 | [diff] [blame] | 2500 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2501 | IConnectableLayer* NetworkImpl::AddStandInLayer(const StandInDescriptor& desc, |
Derek Lamberti | 013c390 | 2019-10-21 10:46:16 +0100 | [diff] [blame] | 2502 | const char* name) |
| 2503 | { |
| 2504 | return m_Graph->AddLayer<StandInLayer>(desc, name); |
| 2505 | } |
| 2506 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2507 | IConnectableLayer* NetworkImpl::AddQuantizedLstmLayer(const QuantizedLstmInputParams& params, |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2508 | const char* name) |
| 2509 | { |
| 2510 | const auto layer = m_Graph->AddLayer<QuantizedLstmLayer>(name); |
| 2511 | |
| 2512 | // InputToX weights |
| 2513 | layer->m_QuantizedLstmParameters.m_InputToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2514 | std::make_shared<ScopedTensorHandle>(params.GetInputToInputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2515 | layer->m_QuantizedLstmParameters.m_InputToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2516 | std::make_shared<ScopedTensorHandle>(params.GetInputToForgetWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2517 | layer->m_QuantizedLstmParameters.m_InputToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2518 | std::make_shared<ScopedTensorHandle>(params.GetInputToCellWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2519 | layer->m_QuantizedLstmParameters.m_InputToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2520 | std::make_shared<ScopedTensorHandle>(params.GetInputToOutputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2521 | |
| 2522 | // RecurrentToX weights |
| 2523 | layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2524 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToInputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2525 | layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2526 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToForgetWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2527 | layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2528 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToCellWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2529 | layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2530 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToOutputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2531 | |
| 2532 | // Bias |
| 2533 | layer->m_QuantizedLstmParameters.m_InputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2534 | std::make_shared<ScopedTensorHandle>(params.GetInputGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2535 | layer->m_QuantizedLstmParameters.m_ForgetGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2536 | std::make_shared<ScopedTensorHandle>(params.GetForgetGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2537 | layer->m_QuantizedLstmParameters.m_CellBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2538 | std::make_shared<ScopedTensorHandle>(params.GetCellBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2539 | layer->m_QuantizedLstmParameters.m_OutputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2540 | std::make_shared<ScopedTensorHandle>(params.GetOutputGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2541 | |
| 2542 | return layer; |
| 2543 | } |
| 2544 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2545 | IConnectableLayer* NetworkImpl::AddQLstmLayer(const QLstmDescriptor& descriptor, |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2546 | const LstmInputParams& params, |
| 2547 | const char* name) |
| 2548 | { |
| 2549 | const auto layer = m_Graph->AddLayer<QLstmLayer>(descriptor, name); |
| 2550 | |
| 2551 | // QLstm Basic Parameters |
| 2552 | layer->m_BasicParameters.m_InputToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2553 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToForgetWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2554 | layer->m_BasicParameters.m_InputToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2555 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToCellWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2556 | layer->m_BasicParameters.m_InputToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2557 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToOutputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2558 | layer->m_BasicParameters.m_RecurrentToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2559 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToForgetWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2560 | layer->m_BasicParameters.m_RecurrentToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2561 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToCellWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2562 | layer->m_BasicParameters.m_RecurrentToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2563 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToOutputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2564 | layer->m_BasicParameters.m_ForgetGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2565 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetGateBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2566 | layer->m_BasicParameters.m_CellBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2567 | std::make_shared<ScopedTensorHandle>(*(params.m_CellBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2568 | layer->m_BasicParameters.m_OutputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2569 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputGateBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2570 | |
| 2571 | // QLstm Cifg parameters |
| 2572 | if(!descriptor.m_CifgEnabled) |
| 2573 | { |
| 2574 | if(params.m_InputToInputWeights == nullptr) |
| 2575 | { |
| 2576 | throw InvalidArgumentException("AddQLstmLayer: Input To Input Weights cannot be NULL"); |
| 2577 | } |
| 2578 | |
| 2579 | if(params.m_RecurrentToInputWeights == nullptr) |
| 2580 | { |
| 2581 | throw InvalidArgumentException( |
| 2582 | "AddQLstmLayer: Recurrent To Input Weights cannot be NULL"); |
| 2583 | } |
| 2584 | |
| 2585 | if(params.m_InputGateBias == nullptr) |
| 2586 | { |
| 2587 | throw InvalidArgumentException("AddQLstmLayer: Input Gate Bias cannot be NULL"); |
| 2588 | } |
| 2589 | |
| 2590 | layer->m_CifgParameters.m_InputToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2591 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToInputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2592 | layer->m_CifgParameters.m_RecurrentToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2593 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToInputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2594 | layer->m_CifgParameters.m_InputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2595 | std::make_shared<ScopedTensorHandle>(*(params.m_InputGateBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2596 | } |
| 2597 | |
| 2598 | // QLstm Projection parameters |
| 2599 | if(descriptor.m_ProjectionEnabled) |
| 2600 | { |
| 2601 | if(params.m_ProjectionWeights == nullptr) |
| 2602 | { |
| 2603 | throw InvalidArgumentException("AddQLstmLayer: Projection Weights cannot be NULL"); |
| 2604 | } |
| 2605 | |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2606 | layer->m_ProjectionParameters.m_ProjectionWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2607 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionWeights)); |
James Conroy | ed32405 | 2020-05-18 15:16:42 +0100 | [diff] [blame] | 2608 | |
| 2609 | // Projection bias is optional even if projection is enabled |
| 2610 | if(params.m_ProjectionWeights != nullptr) |
| 2611 | { |
| 2612 | layer->m_ProjectionParameters.m_ProjectionBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2613 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionBias)); |
James Conroy | ed32405 | 2020-05-18 15:16:42 +0100 | [diff] [blame] | 2614 | } |
| 2615 | |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2616 | } |
| 2617 | |
| 2618 | // QLstm Peephole params |
| 2619 | if(descriptor.m_PeepholeEnabled) |
| 2620 | { |
| 2621 | if(params.m_CellToForgetWeights == nullptr) |
| 2622 | { |
| 2623 | throw InvalidArgumentException("AddQLstmLayer: Cell To Forget Weights cannot be NULL"); |
| 2624 | } |
| 2625 | |
| 2626 | if(params.m_CellToOutputWeights == nullptr) |
| 2627 | { |
| 2628 | throw InvalidArgumentException("AddQLstmLayer: Cell To Output Weights cannot be NULL"); |
| 2629 | } |
| 2630 | |
| 2631 | if(!descriptor.m_CifgEnabled) |
| 2632 | { |
| 2633 | if(params.m_CellToInputWeights == nullptr) |
| 2634 | { |
| 2635 | throw InvalidArgumentException("AddQLstmLayer: Cell To Input Weights cannot be NULL"); |
| 2636 | } |
| 2637 | |
| 2638 | layer->m_PeepholeParameters.m_CellToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2639 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToInputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2640 | } |
| 2641 | |
| 2642 | layer->m_PeepholeParameters.m_CellToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2643 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToForgetWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2644 | layer->m_PeepholeParameters.m_CellToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2645 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToOutputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2646 | } |
| 2647 | |
| 2648 | // QLstm Layer Normalization params |
| 2649 | if(descriptor.m_LayerNormEnabled) |
| 2650 | { |
| 2651 | if(params.m_ForgetLayerNormWeights == nullptr) |
| 2652 | { |
| 2653 | throw InvalidArgumentException("AddQLstmLayer: Forget layer normalization weights cannot be NULL"); |
| 2654 | } |
| 2655 | |
| 2656 | if(params.m_CellLayerNormWeights == nullptr) |
| 2657 | { |
| 2658 | throw InvalidArgumentException("AddQLstmLayer: Cell layer normalization weights cannot be NULL"); |
| 2659 | } |
| 2660 | |
| 2661 | if(params.m_OutputLayerNormWeights == nullptr) |
| 2662 | { |
| 2663 | throw InvalidArgumentException("AddQLstmLayer: Output layer normalization weights cannot be NULL"); |
| 2664 | } |
| 2665 | |
| 2666 | if(!descriptor.m_CifgEnabled) |
| 2667 | { |
| 2668 | if(params.m_InputLayerNormWeights == nullptr) |
| 2669 | { |
| 2670 | throw InvalidArgumentException("AddQLstmLayer: Input layer normalization weights cannot be NULL"); |
| 2671 | } |
| 2672 | |
| 2673 | layer->m_LayerNormParameters.m_InputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2674 | std::make_shared<ScopedTensorHandle>(*(params.m_InputLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2675 | } |
| 2676 | |
| 2677 | layer->m_LayerNormParameters.m_ForgetLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2678 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2679 | layer->m_LayerNormParameters.m_CellLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2680 | std::make_shared<ScopedTensorHandle>(*(params.m_CellLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2681 | layer->m_LayerNormParameters.m_OutputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2682 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2683 | } |
| 2684 | return layer; |
| 2685 | } |
| 2686 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2687 | IConnectableLayer* NetworkImpl::AddLogicalBinaryLayer(const LogicalBinaryDescriptor& logicalBinaryDescriptor, |
Narumol Prangnawarat | 8ed39ae | 2021-07-15 16:16:25 +0100 | [diff] [blame] | 2688 | const char* name) |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 2689 | { |
| 2690 | return m_Graph->AddLayer<LogicalBinaryLayer>(logicalBinaryDescriptor, name); |
| 2691 | } |
| 2692 | |
Narumol Prangnawarat | 8ed39ae | 2021-07-15 16:16:25 +0100 | [diff] [blame] | 2693 | IConnectableLayer* NetworkImpl::AddUnidirectionalSequenceLstmLayer( |
| 2694 | const UnidirectionalSequenceLstmDescriptor& descriptor, |
| 2695 | const LstmInputParams& params, |
| 2696 | const char* name) |
| 2697 | { |
| 2698 | const auto layer = m_Graph->AddLayer<UnidirectionalSequenceLstmLayer>(descriptor, name); |
| 2699 | |
| 2700 | //Lstm Basic Parameters |
| 2701 | layer->m_BasicParameters.m_InputToForgetWeights = |
| 2702 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToForgetWeights)); |
| 2703 | layer->m_BasicParameters.m_InputToCellWeights = |
| 2704 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToCellWeights)); |
| 2705 | layer->m_BasicParameters.m_InputToOutputWeights = |
| 2706 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToOutputWeights)); |
| 2707 | layer->m_BasicParameters.m_RecurrentToForgetWeights = |
| 2708 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToForgetWeights)); |
| 2709 | layer->m_BasicParameters.m_RecurrentToCellWeights = |
| 2710 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToCellWeights)); |
| 2711 | layer->m_BasicParameters.m_RecurrentToOutputWeights = |
| 2712 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToOutputWeights)); |
| 2713 | layer->m_BasicParameters.m_ForgetGateBias = |
| 2714 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetGateBias)); |
| 2715 | layer->m_BasicParameters.m_CellBias = |
| 2716 | std::make_shared<ScopedTensorHandle>(*(params.m_CellBias)); |
| 2717 | layer->m_BasicParameters.m_OutputGateBias = |
| 2718 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputGateBias)); |
| 2719 | |
| 2720 | //Lstm Cifg parameters |
| 2721 | if(!descriptor.m_CifgEnabled) |
| 2722 | { |
| 2723 | if(params.m_InputToInputWeights == nullptr) |
| 2724 | { |
| 2725 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Input To Input Weights cannot be NULL " |
| 2726 | "when CIFG is disabled."); |
| 2727 | } |
| 2728 | if(params.m_RecurrentToInputWeights == nullptr) |
| 2729 | { |
| 2730 | throw InvalidArgumentException( |
| 2731 | "AddUnidirectionalSequenceLstmLayer: Recurrent To Input Weights cannot be NULL " |
| 2732 | "when CIFG is disabled."); |
| 2733 | } |
| 2734 | if(params.m_InputGateBias == nullptr) |
| 2735 | { |
| 2736 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Input Gate Bias cannot be NULL " |
| 2737 | "when CIFG is disabled."); |
| 2738 | } |
| 2739 | layer->m_CifgParameters.m_InputToInputWeights = |
| 2740 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToInputWeights)); |
| 2741 | layer->m_CifgParameters.m_RecurrentToInputWeights = |
| 2742 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToInputWeights)); |
| 2743 | layer->m_CifgParameters.m_InputGateBias = |
| 2744 | std::make_shared<ScopedTensorHandle>(*(params.m_InputGateBias)); |
| 2745 | } |
| 2746 | |
| 2747 | //Lstm projection parameters |
| 2748 | if(descriptor.m_ProjectionEnabled) |
| 2749 | { |
| 2750 | if(params.m_ProjectionWeights == nullptr) |
| 2751 | { |
| 2752 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Projection Weights cannot be NULL " |
| 2753 | "when projection is enabled."); |
| 2754 | } |
| 2755 | layer->m_ProjectionParameters.m_ProjectionWeights = |
| 2756 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionWeights)); |
| 2757 | if(params.m_ProjectionBias != nullptr) |
| 2758 | { |
| 2759 | layer->m_ProjectionParameters.m_ProjectionBias = |
| 2760 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionBias)); |
| 2761 | } |
| 2762 | } |
| 2763 | |
| 2764 | //Lstm Peephole params |
| 2765 | if(descriptor.m_PeepholeEnabled) |
| 2766 | { |
| 2767 | if(!descriptor.m_CifgEnabled) |
| 2768 | { |
| 2769 | if(params.m_CellToInputWeights == nullptr) |
| 2770 | { |
| 2771 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Cell To Input Weights " |
| 2772 | "cannot be NULL when Peephole is enabled and CIFG disabled."); |
| 2773 | } |
| 2774 | |
| 2775 | layer->m_PeepholeParameters.m_CellToInputWeights = |
| 2776 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToInputWeights)); |
| 2777 | } |
| 2778 | |
| 2779 | if(params.m_CellToForgetWeights == nullptr) |
| 2780 | { |
| 2781 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Cell To Forget Weights cannot be NULL " |
| 2782 | "when Peephole is enabled."); |
| 2783 | } |
| 2784 | if(params.m_CellToOutputWeights == nullptr) |
| 2785 | { |
| 2786 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Cell To Output Weights cannot be NULL " |
| 2787 | "when Peephole is enabled."); |
| 2788 | } |
| 2789 | |
| 2790 | layer->m_PeepholeParameters.m_CellToForgetWeights = |
| 2791 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToForgetWeights)); |
| 2792 | layer->m_PeepholeParameters.m_CellToOutputWeights = |
| 2793 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToOutputWeights)); |
| 2794 | } |
| 2795 | |
| 2796 | //Lstm Layer Normalization params |
| 2797 | if(descriptor.m_LayerNormEnabled) |
| 2798 | { |
| 2799 | if(!descriptor.m_CifgEnabled) |
| 2800 | { |
| 2801 | if(params.m_InputLayerNormWeights == nullptr) |
| 2802 | { |
| 2803 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Input layer normalization weights " |
| 2804 | "cannot be NULL when layer normalization is enabled and CIFG disabled."); |
| 2805 | } |
| 2806 | layer->m_LayerNormParameters.m_InputLayerNormWeights = |
| 2807 | std::make_shared<ScopedTensorHandle>(*(params.m_InputLayerNormWeights)); |
| 2808 | } |
| 2809 | |
| 2810 | if(params.m_ForgetLayerNormWeights == nullptr) |
| 2811 | { |
| 2812 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Forget layer normalization weights " |
| 2813 | "cannot be NULL when layer normalization is enabled."); |
| 2814 | } |
| 2815 | if(params.m_CellLayerNormWeights == nullptr) |
| 2816 | { |
| 2817 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Cell layer normalization weights " |
| 2818 | "cannot be NULL when layer normalization is enabled."); |
| 2819 | } |
| 2820 | if(params.m_OutputLayerNormWeights == nullptr) |
| 2821 | { |
| 2822 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Output layer normalization weights " |
| 2823 | "cannot be NULL when layer normalization is enabled."); |
| 2824 | } |
| 2825 | layer->m_LayerNormParameters.m_ForgetLayerNormWeights = |
| 2826 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetLayerNormWeights)); |
| 2827 | layer->m_LayerNormParameters.m_CellLayerNormWeights = |
| 2828 | std::make_shared<ScopedTensorHandle>(*(params.m_CellLayerNormWeights)); |
| 2829 | layer->m_LayerNormParameters.m_OutputLayerNormWeights = |
| 2830 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputLayerNormWeights)); |
| 2831 | } |
| 2832 | return layer; |
| 2833 | } |
| 2834 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2835 | void NetworkImpl::Accept(ILayerVisitor& visitor) const |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 2836 | { |
| 2837 | for (auto layer : GetGraph()) |
| 2838 | { |
| 2839 | layer->Accept(visitor); |
| 2840 | }; |
| 2841 | } |
| 2842 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2843 | void NetworkImpl::ExecuteStrategy(IStrategy& strategy) const |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2844 | { |
| 2845 | for (auto layer : GetGraph()) |
| 2846 | { |
| 2847 | layer->ExecuteStrategy(strategy); |
| 2848 | }; |
| 2849 | } |
| 2850 | |
Mike Kelly | 0d677db | 2021-06-27 22:39:21 +0100 | [diff] [blame] | 2851 | OptimizedNetworkImpl::OptimizedNetworkImpl(const OptimizedNetworkImpl& other, const ModelOptions& modelOptions) |
| 2852 | : m_Graph(new Graph(*other.m_Graph.get())) |
| 2853 | , m_Guid(profiling::ProfilingService::GetNextGuid()) |
| 2854 | , m_ModelOptions(modelOptions) |
| 2855 | { |
| 2856 | } |
| 2857 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2858 | OptimizedNetworkImpl::OptimizedNetworkImpl(std::unique_ptr<Graph> graph) |
Sadik Armagan | 3184c90 | 2020-03-18 10:57:30 +0000 | [diff] [blame] | 2859 | : m_Graph(std::move(graph)), m_Guid(profiling::ProfilingService::GetNextGuid()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2860 | { |
| 2861 | } |
| 2862 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2863 | OptimizedNetworkImpl::OptimizedNetworkImpl(std::unique_ptr<Graph> graph, const ModelOptions& modelOptions) |
Sadik Armagan | 045f6be | 2020-09-10 13:37:32 +0100 | [diff] [blame] | 2864 | : m_Graph(std::move(graph)), m_Guid(profiling::ProfilingService::GetNextGuid()), m_ModelOptions(modelOptions) |
| 2865 | { |
| 2866 | } |
| 2867 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2868 | OptimizedNetworkImpl::~OptimizedNetworkImpl() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2869 | { |
| 2870 | } |
| 2871 | |
| 2872 | } // namespace armnn |