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 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 15 | #include <backendsCommon/CpuTensorHandle.hpp> |
| 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 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 31 | #include <fcntl.h> |
| 32 | #include <algorithm> |
| 33 | #include <fstream> |
| 34 | #include <memory> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 35 | #include <vector> |
| 36 | #include <algorithm> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 37 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 38 | namespace armnn |
| 39 | { |
| 40 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 41 | INetwork::INetwork(NetworkOptions networkOptions) : pNetworkImpl(new NetworkImpl(networkOptions)) {} |
| 42 | |
| 43 | INetwork::~INetwork() = default; |
| 44 | |
| 45 | Status INetwork::PrintGraph() |
| 46 | { |
| 47 | return pNetworkImpl->PrintGraph(); |
| 48 | } |
| 49 | |
| 50 | IConnectableLayer* INetwork::AddInputLayer(LayerBindingId id, const char* name) |
| 51 | { |
| 52 | return pNetworkImpl->AddInputLayer(id, name); |
| 53 | } |
| 54 | |
| 55 | |
| 56 | IConnectableLayer* INetwork::AddArgMinMaxLayer(const ArgMinMaxDescriptor& desc, |
| 57 | const char* name) |
| 58 | { |
| 59 | return pNetworkImpl->AddArgMinMaxLayer(desc, name); |
| 60 | } |
| 61 | |
| 62 | |
| 63 | IConnectableLayer* INetwork::AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor, |
| 64 | const char* name) |
| 65 | { |
| 66 | return pNetworkImpl->AddComparisonLayer(comparisonDescriptor, name); |
| 67 | } |
| 68 | |
| 69 | |
| 70 | IConnectableLayer* INetwork::AddConcatLayer(const ConcatDescriptor& concatDescriptor, |
| 71 | const char* name) |
| 72 | { |
| 73 | return pNetworkImpl->AddConcatLayer(concatDescriptor, name); |
| 74 | } |
| 75 | |
| 76 | |
| 77 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 78 | const ConstTensor& weights, |
| 79 | const Optional<ConstTensor>& biases, |
| 80 | const char* name) |
| 81 | { |
| 82 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 83 | } |
| 84 | |
| 85 | |
| 86 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 87 | const ConstTensor& weights, |
| 88 | const char* name) |
| 89 | { |
| 90 | Optional<ConstTensor> biases; |
| 91 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 92 | } |
| 93 | |
| 94 | |
| 95 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 96 | const ConstTensor& weights, |
| 97 | const ConstTensor& biases, |
| 98 | const char* name ) |
| 99 | { |
| 100 | |
| 101 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, |
| 102 | weights, |
| 103 | armnn::Optional<ConstTensor>(biases), |
| 104 | name); |
| 105 | } |
| 106 | |
| 107 | |
| 108 | IConnectableLayer* INetwork::AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor, |
| 109 | const char* name) |
| 110 | { |
| 111 | return pNetworkImpl->AddDepthToSpaceLayer(depthToSpaceDescriptor, name); |
| 112 | } |
| 113 | |
| 114 | |
| 115 | IConnectableLayer* INetwork::AddDepthwiseConvolution2dLayer( |
| 116 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 117 | const ConstTensor& weights, |
| 118 | const Optional<ConstTensor>& biases, |
| 119 | const char* name) |
| 120 | { |
| 121 | return pNetworkImpl->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 122 | } |
| 123 | |
| 124 | |
| 125 | IConnectableLayer* INetwork::AddDepthwiseConvolution2dLayer( |
| 126 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 127 | const ConstTensor& weights, |
| 128 | const char* name) |
| 129 | { |
| 130 | Optional<ConstTensor> biases; |
| 131 | return pNetworkImpl->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 132 | } |
| 133 | |
| 134 | |
| 135 | IConnectableLayer* INetwork::AddDepthwiseConvolution2dLayer( |
| 136 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 137 | const ConstTensor& weights, |
| 138 | const ConstTensor& biases, |
| 139 | const char* name) |
| 140 | { |
| 141 | return pNetworkImpl->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights, |
| 142 | armnn::Optional<ConstTensor>(biases), name); |
| 143 | } |
| 144 | |
| 145 | |
| 146 | IConnectableLayer* INetwork::AddDequantizeLayer(const char* name) |
| 147 | { |
| 148 | return pNetworkImpl->AddDequantizeLayer(name); |
| 149 | } |
| 150 | |
| 151 | |
| 152 | IConnectableLayer* INetwork::AddDetectionPostProcessLayer( |
| 153 | const DetectionPostProcessDescriptor& descriptor, |
| 154 | const ConstTensor& anchors, |
| 155 | const char* name) |
| 156 | { |
| 157 | return pNetworkImpl->AddDetectionPostProcessLayer(descriptor, anchors, name); |
| 158 | } |
| 159 | |
| 160 | |
| 161 | IConnectableLayer* INetwork::AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& elementwiseUnaryDescriptor, |
| 162 | const char* name) |
| 163 | { |
| 164 | return pNetworkImpl->AddElementwiseUnaryLayer(elementwiseUnaryDescriptor, name); |
| 165 | } |
| 166 | |
| 167 | |
| 168 | IConnectableLayer* INetwork::AddFillLayer(const FillDescriptor& fillDescriptor, |
| 169 | const char* name) |
| 170 | { |
| 171 | return pNetworkImpl->AddFillLayer(fillDescriptor, name); |
| 172 | } |
| 173 | |
| 174 | |
| 175 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
| 176 | const ConstTensor& weights, |
| 177 | const Optional<ConstTensor>& biases, |
| 178 | const char* name) |
| 179 | { |
| 180 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, weights, biases, name); |
| 181 | } |
| 182 | |
| 183 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
| 184 | const ConstTensor& weights, |
| 185 | const char* name) |
| 186 | { |
| 187 | Optional<ConstTensor> biases; |
| 188 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, weights, biases, name); |
| 189 | } |
| 190 | |
| 191 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
| 192 | const ConstTensor& weights, |
| 193 | const ConstTensor& biases, |
| 194 | const char* name) |
| 195 | { |
| 196 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, weights, |
| 197 | armnn::Optional<ConstTensor>(biases), name); |
| 198 | } |
| 199 | |
| 200 | IConnectableLayer* INetwork::AddPermuteLayer(const PermuteDescriptor& permuteDescriptor, |
| 201 | const char* name) |
| 202 | { |
| 203 | return pNetworkImpl->AddPermuteLayer(permuteDescriptor, name); |
| 204 | } |
| 205 | |
| 206 | IConnectableLayer* INetwork::AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor& batchToSpaceNdDescriptor, |
| 207 | const char* name) |
| 208 | { |
| 209 | return pNetworkImpl->AddBatchToSpaceNdLayer(batchToSpaceNdDescriptor, name); |
| 210 | } |
| 211 | |
| 212 | IConnectableLayer* INetwork::AddPooling2dLayer(const Pooling2dDescriptor& pooling2dDescriptor, |
| 213 | const char* name) |
| 214 | { |
| 215 | return pNetworkImpl->AddPooling2dLayer(pooling2dDescriptor, name); |
| 216 | } |
| 217 | |
| 218 | IConnectableLayer* INetwork::AddActivationLayer(const ActivationDescriptor& activationDescriptor, |
| 219 | const char* name) |
| 220 | { |
| 221 | return pNetworkImpl->AddActivationLayer(activationDescriptor, name); |
| 222 | } |
| 223 | |
| 224 | IConnectableLayer* INetwork::AddNormalizationLayer(const NormalizationDescriptor& normalizationDescriptor, |
| 225 | const char* name) |
| 226 | { |
| 227 | return pNetworkImpl->AddNormalizationLayer(normalizationDescriptor, name); |
| 228 | } |
| 229 | |
| 230 | IConnectableLayer* INetwork::AddSliceLayer(const SliceDescriptor& sliceDescriptor, const char* name) |
| 231 | { |
| 232 | return pNetworkImpl->AddSliceLayer(sliceDescriptor, name); |
| 233 | } |
| 234 | IConnectableLayer* INetwork::AddSoftmaxLayer(const SoftmaxDescriptor& softmaxDescriptor, |
| 235 | const char* name) |
| 236 | { |
| 237 | return pNetworkImpl->AddSoftmaxLayer(softmaxDescriptor, name); |
| 238 | } |
| 239 | |
| 240 | IConnectableLayer* INetwork::AddSplitterLayer(const ViewsDescriptor& splitterDescriptor, |
| 241 | const char* name) |
| 242 | { |
| 243 | return pNetworkImpl->AddSplitterLayer(splitterDescriptor, name); |
| 244 | } |
| 245 | |
| 246 | IConnectableLayer* INetwork::AddMergeLayer(const char* name) |
| 247 | { |
| 248 | return pNetworkImpl->AddMergeLayer(name); |
| 249 | } |
| 250 | |
| 251 | IConnectableLayer* INetwork::AddMergerLayer(const MergerDescriptor& mergerDescriptor, |
| 252 | const char* name) |
| 253 | { |
| 254 | return pNetworkImpl->AddConcatLayer(mergerDescriptor, name); |
| 255 | } |
| 256 | |
| 257 | IConnectableLayer* INetwork::AddAbsLayer(const char* name) |
| 258 | { |
| 259 | return pNetworkImpl->AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Abs), name); |
| 260 | } |
| 261 | |
| 262 | IConnectableLayer* INetwork::AddAdditionLayer(const char* name) |
| 263 | { |
| 264 | return pNetworkImpl->AddAdditionLayer(name); |
| 265 | } |
| 266 | |
| 267 | IConnectableLayer* INetwork::AddMultiplicationLayer(const char* name) |
| 268 | { |
| 269 | return pNetworkImpl->AddMultiplicationLayer(name); |
| 270 | } |
| 271 | |
| 272 | IConnectableLayer* INetwork::AddBatchNormalizationLayer(const BatchNormalizationDescriptor& desc, |
| 273 | const ConstTensor& mean, |
| 274 | const ConstTensor& variance, |
| 275 | const ConstTensor& beta, |
| 276 | const ConstTensor& gamma, |
| 277 | const char* name) |
| 278 | { |
| 279 | return pNetworkImpl->AddBatchNormalizationLayer(desc, mean, variance, beta, gamma, name); |
| 280 | } |
| 281 | |
| 282 | IConnectableLayer* INetwork::AddRankLayer(const char* name) |
| 283 | { |
| 284 | return pNetworkImpl->AddRankLayer(name); |
| 285 | } |
| 286 | |
| 287 | IConnectableLayer* INetwork::AddResizeBilinearLayer(const ResizeBilinearDescriptor& descriptor, |
| 288 | const char* name) |
| 289 | { |
| 290 | ResizeDescriptor resizeDescriptor; |
| 291 | resizeDescriptor.m_Method = ResizeMethod::Bilinear; |
| 292 | resizeDescriptor.m_DataLayout = descriptor.m_DataLayout; |
| 293 | resizeDescriptor.m_TargetWidth = descriptor.m_TargetWidth; |
| 294 | resizeDescriptor.m_TargetHeight = descriptor.m_TargetHeight; |
| 295 | resizeDescriptor.m_AlignCorners = descriptor.m_AlignCorners; |
| 296 | resizeDescriptor.m_HalfPixelCenters = descriptor.m_HalfPixelCenters; |
| 297 | |
| 298 | return pNetworkImpl->AddResizeLayer(resizeDescriptor, name); |
| 299 | } |
| 300 | |
| 301 | IConnectableLayer* INetwork::AddResizeLayer(const ResizeDescriptor& resizeDescriptor, |
| 302 | const char* name) |
| 303 | { |
| 304 | return pNetworkImpl->AddResizeLayer(resizeDescriptor, name); |
| 305 | } |
| 306 | |
| 307 | IConnectableLayer* INetwork::AddReduceLayer(const ReduceDescriptor& reduceDescriptor, |
| 308 | const char* name) |
| 309 | { |
| 310 | return pNetworkImpl->AddReduceLayer(reduceDescriptor, name); |
| 311 | } |
| 312 | |
| 313 | IConnectableLayer* INetwork::AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc, |
| 314 | const char* name) |
| 315 | { |
| 316 | return pNetworkImpl->AddInstanceNormalizationLayer(desc, name); |
| 317 | } |
| 318 | |
| 319 | IConnectableLayer* INetwork::AddL2NormalizationLayer(const L2NormalizationDescriptor& desc, |
| 320 | const char* name) |
| 321 | { |
| 322 | return pNetworkImpl->AddL2NormalizationLayer(desc, name); |
| 323 | } |
| 324 | |
| 325 | IConnectableLayer* INetwork::AddLogSoftmaxLayer(const LogSoftmaxDescriptor& logSoftmaxDescriptor, |
| 326 | const char* name) |
| 327 | { |
| 328 | return pNetworkImpl->AddLogSoftmaxLayer(logSoftmaxDescriptor, name); |
| 329 | } |
| 330 | |
| 331 | IConnectableLayer* INetwork::AddConstantLayer(const ConstTensor& input, |
| 332 | const char* name) |
| 333 | { |
| 334 | return pNetworkImpl->AddConstantLayer(input, name); |
| 335 | } |
| 336 | |
| 337 | IConnectableLayer* INetwork::AddReshapeLayer(const ReshapeDescriptor& reshapeDescriptor, |
| 338 | const char* name) |
| 339 | { |
| 340 | return pNetworkImpl->AddReshapeLayer(reshapeDescriptor, name); |
| 341 | } |
| 342 | |
| 343 | IConnectableLayer* INetwork::AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
| 344 | const char* name) |
| 345 | { |
| 346 | return pNetworkImpl->AddSpaceToBatchNdLayer(spaceToBatchNdDescriptor, name); |
| 347 | } |
| 348 | |
| 349 | IConnectableLayer* INetwork::AddSpaceToDepthLayer(const SpaceToDepthDescriptor& spaceToDepthDescriptor, |
| 350 | const char* name) |
| 351 | { |
| 352 | return pNetworkImpl->AddSpaceToDepthLayer(spaceToDepthDescriptor, name); |
| 353 | } |
| 354 | |
| 355 | IConnectableLayer* INetwork::AddFloorLayer(const char* name) |
| 356 | { |
| 357 | return pNetworkImpl->AddFloorLayer(name); |
| 358 | } |
| 359 | IConnectableLayer* INetwork::AddOutputLayer(LayerBindingId id, const char* name) |
| 360 | { |
| 361 | return pNetworkImpl->AddOutputLayer(id, name); |
| 362 | } |
| 363 | |
| 364 | IConnectableLayer* INetwork::AddLstmLayer(const LstmDescriptor& descriptor, |
| 365 | const LstmInputParams& params, |
| 366 | const char* name) |
| 367 | { |
| 368 | return pNetworkImpl->AddLstmLayer(descriptor, params, name); |
| 369 | } |
| 370 | |
| 371 | IConnectableLayer* INetwork::AddDivisionLayer(const char* name) |
| 372 | { |
| 373 | return pNetworkImpl->AddDivisionLayer(name); |
| 374 | } |
| 375 | |
| 376 | IConnectableLayer* INetwork::AddSubtractionLayer(const char* name) |
| 377 | { |
| 378 | return pNetworkImpl->AddSubtractionLayer(name); |
| 379 | } |
| 380 | |
| 381 | IConnectableLayer* INetwork::AddMaximumLayer(const char* name) |
| 382 | { |
| 383 | return pNetworkImpl->AddMaximumLayer(name); |
| 384 | } |
| 385 | |
| 386 | IConnectableLayer* INetwork::AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name) |
| 387 | { |
| 388 | return pNetworkImpl->AddMeanLayer(meanDescriptor, name); |
| 389 | } |
| 390 | |
| 391 | IConnectableLayer* INetwork::AddPadLayer(const PadDescriptor& padDescriptor, |
| 392 | const char* name) |
| 393 | { |
| 394 | return pNetworkImpl->AddPadLayer(padDescriptor, name); |
| 395 | } |
| 396 | |
| 397 | IConnectableLayer* INetwork::AddQuantizeLayer(const char* name) |
| 398 | { |
| 399 | return pNetworkImpl->AddQuantizeLayer(name); |
| 400 | } |
| 401 | |
| 402 | IConnectableLayer* INetwork::AddStridedSliceLayer(const StridedSliceDescriptor& stridedSliceDescriptor, |
| 403 | const char* name) |
| 404 | { |
| 405 | return pNetworkImpl->AddStridedSliceLayer(stridedSliceDescriptor, name); |
| 406 | } |
| 407 | |
| 408 | IConnectableLayer* INetwork::AddMinimumLayer(const char* name) |
| 409 | { |
| 410 | return pNetworkImpl->AddMinimumLayer(name); |
| 411 | } |
| 412 | |
| 413 | IConnectableLayer* INetwork::AddGreaterLayer(const char* name) |
| 414 | { |
| 415 | return pNetworkImpl->AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Greater), name); |
| 416 | } |
| 417 | |
| 418 | IConnectableLayer* INetwork::AddEqualLayer(const char* name) |
| 419 | { |
| 420 | return pNetworkImpl->AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Equal), name); |
| 421 | } |
| 422 | |
| 423 | IConnectableLayer* INetwork::AddRsqrtLayer(const char* name) |
| 424 | { |
| 425 | return pNetworkImpl->AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt), name); |
| 426 | } |
| 427 | |
| 428 | IConnectableLayer* INetwork::AddGatherLayer(const char* name) |
| 429 | { |
| 430 | GatherDescriptor gatherDescriptor{}; |
| 431 | return pNetworkImpl->AddGatherLayer(gatherDescriptor, name); |
| 432 | } |
| 433 | |
| 434 | IConnectableLayer* INetwork::AddGatherLayer(const GatherDescriptor& descriptor, |
| 435 | const char* name) |
| 436 | { |
| 437 | return pNetworkImpl->AddGatherLayer(descriptor, name); |
| 438 | } |
| 439 | |
| 440 | IConnectableLayer* INetwork::AddSwitchLayer(const char* name) |
| 441 | { |
| 442 | return pNetworkImpl->AddSwitchLayer(name); |
| 443 | } |
| 444 | |
| 445 | IConnectableLayer* INetwork::AddPreluLayer(const char* name) |
| 446 | { |
| 447 | return pNetworkImpl->AddPreluLayer(name); |
| 448 | } |
| 449 | |
| 450 | IConnectableLayer* INetwork::AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& descriptor, |
| 451 | const ConstTensor& weights, |
| 452 | const Optional<ConstTensor>& biases, |
| 453 | const char* name) |
| 454 | { |
| 455 | return pNetworkImpl->AddTransposeConvolution2dLayer(descriptor, weights, biases, name); |
| 456 | } |
| 457 | |
| 458 | IConnectableLayer* INetwork::AddTransposeLayer(const TransposeDescriptor& transposeDescriptor, |
| 459 | const char* name) |
| 460 | { |
| 461 | return pNetworkImpl->AddTransposeLayer(transposeDescriptor, name); |
| 462 | } |
| 463 | |
| 464 | IConnectableLayer* INetwork::AddStackLayer(const StackDescriptor& descriptor, |
| 465 | const char* name) |
| 466 | { |
| 467 | return pNetworkImpl->AddStackLayer(descriptor, name); |
| 468 | } |
| 469 | |
| 470 | IConnectableLayer* INetwork::AddStandInLayer(const StandInDescriptor& descriptor, |
| 471 | const char* name) |
| 472 | { |
| 473 | return pNetworkImpl->AddStandInLayer(descriptor, name); |
| 474 | } |
| 475 | |
| 476 | IConnectableLayer* INetwork::AddQuantizedLstmLayer(const QuantizedLstmInputParams& params, |
| 477 | const char* name) |
| 478 | { |
| 479 | return pNetworkImpl->AddQuantizedLstmLayer(params, name); |
| 480 | } |
| 481 | |
| 482 | IConnectableLayer* INetwork::AddQLstmLayer(const QLstmDescriptor& descriptor, |
| 483 | const LstmInputParams& params, |
| 484 | const char* name) |
| 485 | { |
| 486 | return pNetworkImpl->AddQLstmLayer(descriptor, params, name); |
| 487 | } |
| 488 | |
| 489 | IConnectableLayer* INetwork::AddLogicalBinaryLayer(const LogicalBinaryDescriptor& descriptor, |
| 490 | const char* name) |
| 491 | { |
| 492 | return pNetworkImpl->AddLogicalBinaryLayer(descriptor, name); |
| 493 | } |
| 494 | |
| 495 | void INetwork::Accept(ILayerVisitor& visitor) const |
| 496 | { |
| 497 | return pNetworkImpl->Accept(visitor); |
| 498 | } |
| 499 | |
| 500 | void INetwork::ExecuteStrategy(IStrategy& strategy) const |
| 501 | { |
| 502 | return pNetworkImpl->ExecuteStrategy(strategy); |
| 503 | } |
| 504 | |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 505 | armnn::INetwork* INetwork::CreateRaw(NetworkOptions networkOptions) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 506 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 507 | return new INetwork(networkOptions); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 508 | } |
| 509 | |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 510 | armnn::INetworkPtr INetwork::Create(NetworkOptions networkOptions) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 511 | { |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 512 | return INetworkPtr(CreateRaw(networkOptions), &INetwork::Destroy); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 513 | } |
| 514 | |
| 515 | void INetwork::Destroy(INetwork* network) |
| 516 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 517 | delete network; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 518 | } |
| 519 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 520 | |
| 521 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<Graph> graph) |
| 522 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(std::move(graph))) {} |
| 523 | |
| 524 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<OptimizedNetworkImpl> impl) |
| 525 | : pOptimizedNetworkImpl(std::move(impl)) {} |
| 526 | |
| 527 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<Graph> graph, const ModelOptions& modelOptions) |
| 528 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(std::move(graph), modelOptions)) {} |
| 529 | |
| 530 | IOptimizedNetwork::~IOptimizedNetwork() = default; |
| 531 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 532 | void IOptimizedNetwork::Destroy(IOptimizedNetwork* network) |
| 533 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 534 | delete network; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 535 | } |
| 536 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 537 | Status IOptimizedNetwork::PrintGraph() |
| 538 | { |
| 539 | return pOptimizedNetworkImpl->PrintGraph(); |
| 540 | } |
| 541 | |
| 542 | Status IOptimizedNetwork::SerializeToDot(std::ostream& stream) const |
| 543 | { |
| 544 | return pOptimizedNetworkImpl->SerializeToDot(stream); |
| 545 | } |
| 546 | |
| 547 | profiling::ProfilingGuid IOptimizedNetwork::GetGuid() const |
| 548 | { |
| 549 | return pOptimizedNetworkImpl->GetGuid(); |
| 550 | } |
| 551 | |
| 552 | Status OptimizedNetworkImpl::PrintGraph() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 553 | { |
| 554 | m_Graph->Print(); |
| 555 | return Status::Success; |
| 556 | } |
| 557 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 558 | Status OptimizedNetworkImpl::SerializeToDot(std::ostream& stream) const |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 559 | { |
| 560 | return m_Graph->SerializeToDot(stream); |
| 561 | } |
| 562 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 563 | void ReportError(const std::string& errorMessage, |
| 564 | Optional<std::vector<std::string>&> errorMessages) |
| 565 | { |
| 566 | std::stringstream fullErrorMessage; |
| 567 | fullErrorMessage << "ERROR: " << errorMessage; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 568 | ARMNN_LOG(warning) << fullErrorMessage.str(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 569 | if (errorMessages) |
| 570 | { |
| 571 | errorMessages.value().push_back(fullErrorMessage.str()); |
| 572 | } |
| 573 | } |
| 574 | |
| 575 | void ReportWarning(const std::string& warningMessage, |
| 576 | Optional<std::vector<std::string>&> warningMessages) |
| 577 | { |
| 578 | std::stringstream fullWarningMessage; |
| 579 | fullWarningMessage << "WARNING: " << warningMessage; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 580 | ARMNN_LOG(warning) << fullWarningMessage.str(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 581 | if (warningMessages) |
| 582 | { |
| 583 | warningMessages.value().push_back(fullWarningMessage.str()); |
| 584 | } |
| 585 | } |
| 586 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 587 | OptimizationResult ReturnWithError(OptimizationResult res, |
| 588 | const Layer* layer, |
| 589 | const BackendSettings& backendSettings, |
| 590 | Optional<std::vector<std::string>&> errMessages) |
| 591 | { |
| 592 | std::stringstream failureMsg; |
| 593 | failureMsg << "Layer of type " << GetLayerTypeAsCString(layer->GetType()) |
| 594 | << " is not supported on any preferred backend " << backendSettings.m_PreferredBackends; |
| 595 | ReportError(failureMsg.str(), errMessages); |
| 596 | |
| 597 | res.m_Error = true; |
| 598 | return res; |
| 599 | } |
| 600 | |
| 601 | |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 602 | bool CheckScaleSetOnQuantizedType(Layer* layer, Optional<std::vector<std::string>&> errMessages) |
| 603 | { |
| 604 | bool noErrors = true; |
| 605 | unsigned int numOutputs = layer->GetNumOutputSlots(); |
| 606 | for (unsigned int i = 0; i < numOutputs; i++) { |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 607 | OutputSlot& outputSlot = layer->GetOutputSlot(i); |
| 608 | TensorInfo info = outputSlot.GetTensorInfo(); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 609 | if (DataType::QAsymmU8 == info.GetDataType()) { |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 610 | if (0.f == info.GetQuantizationScale()) { |
| 611 | noErrors = false; |
| 612 | std::stringstream ss; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 613 | ss << "output " << i << " of layer " << GetLayerTypeAsCString(layer->GetType()) |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 614 | << " (" << layer->GetNameStr() << ") is of type" |
| 615 | << " Quantized 8 bit but its scale parameter has not been set"; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 616 | ReportError(ss.str(), errMessages); |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 617 | } |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 618 | // Softmax under QuantisedAsymm8 must always be scale (1.0f/256.0f) and offset 0 |
| 619 | if ((info.GetQuantizationScale() != (1.0f / 256.0f) || |
| 620 | info.GetQuantizationOffset() != 0) && |
| 621 | layer->GetType() == armnn::LayerType::Softmax) |
| 622 | { |
| 623 | std::stringstream ss; |
| 624 | ss << "Quantization parameters for Softmax layer (Scale: " << |
| 625 | info.GetQuantizationScale() << " and Offset: " << info.GetQuantizationOffset() << |
| 626 | ") 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] | 627 | ARMNN_LOG(warning) << ss.str(); |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 628 | info.SetQuantizationScale((1.0f /256.0f)); |
| 629 | info.SetQuantizationOffset(0); |
| 630 | outputSlot.SetTensorInfo(info); |
| 631 | } |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 632 | } |
| 633 | } |
| 634 | return noErrors; |
| 635 | } |
| 636 | |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 637 | template <typename LayerT> |
| 638 | LayerT* ConvertBf16ToFp32Weight(Layer* l) |
| 639 | { |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 640 | LayerT* layer = PolymorphicDowncast<LayerT*>(l); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 641 | if ((layer->GetType() == LayerType::Convolution2d || layer->GetType() == LayerType::FullyConnected) |
| 642 | && layer->m_Weight) |
| 643 | { |
| 644 | const TensorInfo& info = layer->m_Weight->GetTensorInfo(); |
| 645 | |
| 646 | if (info.GetDataType() == DataType::BFloat16) |
| 647 | { |
| 648 | std::vector<float> newValues(info.GetNumElements()); |
| 649 | |
| 650 | armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32( |
| 651 | layer->m_Weight->template GetTensor<armnn::BFloat16>(), info.GetNumElements(), newValues.data()); |
| 652 | |
| 653 | TensorInfo newInfo(info.GetShape(), DataType::Float32); |
| 654 | ConstTensor newInput(newInfo, newValues); |
| 655 | layer->m_Weight.reset(new ScopedCpuTensorHandle(newInput)); |
| 656 | } |
| 657 | } |
| 658 | return layer; |
| 659 | } |
| 660 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 661 | OptimizationResult AttemptBackendAssignment(BackendSettings& backendSettings, |
| 662 | Graph& graph, |
| 663 | Layer* layer, |
| 664 | BackendId backend, |
| 665 | DataType dataTypeIn, |
| 666 | DataType dataTypeOut, |
| 667 | const std::vector<BackendId>& availablePreferredBackends, |
| 668 | std::string& reasonIfUnsupported, |
| 669 | Optional<std::vector<std::string>&> errMessages) |
| 670 | { |
| 671 | OptimizationResult result; |
| 672 | |
| 673 | // Helper lambda to compose meaningful error message before returning with error |
| 674 | auto ReturnError = [&](const Layer* layer) |
| 675 | { |
| 676 | return ReturnWithError(result, layer, backendSettings, errMessages); |
| 677 | }; |
| 678 | |
| 679 | // need to set the compute device on the layer |
| 680 | // before we can check if it is supported |
| 681 | layer->SetBackendId(backend); |
| 682 | if (!IWorkloadFactory::IsLayerSupported(*layer, EmptyOptional(), reasonIfUnsupported)) |
| 683 | { |
| 684 | if (dataTypeIn == DataType::Float16 || dataTypeOut == DataType::Float16) |
| 685 | { |
| 686 | if (IWorkloadFactory::IsLayerSupported(*layer, DataType::Float32, reasonIfUnsupported) |
| 687 | && layer->GetType() != LayerType::ConvertFp32ToFp16 |
| 688 | && layer->GetType() != LayerType::ConvertFp16ToFp32) |
| 689 | { |
| 690 | // Insert FP16 -> FP32 conversion layer before current layer |
| 691 | std::vector<ConvertFp16ToFp32Layer*> convertFp16ToFp32Layers; |
| 692 | if (dataTypeIn == DataType::Float16) |
| 693 | { |
| 694 | convertFp16ToFp32Layers = |
| 695 | InsertConvertFp16ToFp32LayersBefore(graph, *layer); |
| 696 | } |
| 697 | |
| 698 | // Insert FP32 -> FP16 conversion layer after current layer |
| 699 | std::vector<ConvertFp32ToFp16Layer*> convertFp32ToFp16Layers; |
| 700 | if (dataTypeOut == DataType::Float16) |
| 701 | { |
| 702 | convertFp32ToFp16Layers = |
| 703 | InsertConvertFp32ToFp16LayersAfter(graph, *layer); |
| 704 | } |
| 705 | |
| 706 | // Assign a supported backend to the newly introduced conversion layers |
| 707 | auto AssignFirstSupportedBackend = [&](Layer* layer, BackendId preferredBackend) |
| 708 | { |
| 709 | bool supportedBackendFound = false; |
| 710 | std::string reasonIfUnsupported; |
| 711 | |
| 712 | // Try preferred backend first |
| 713 | layer->SetBackendId(preferredBackend); |
| 714 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 715 | EmptyOptional(), |
| 716 | reasonIfUnsupported)) |
| 717 | { |
| 718 | supportedBackendFound = true; |
| 719 | } |
| 720 | else |
| 721 | { |
| 722 | for (const auto& backend : availablePreferredBackends) |
| 723 | { |
| 724 | // Skip preferred backend (we already determined that it is not supported) |
| 725 | if (backend == preferredBackend) |
| 726 | { |
| 727 | continue; |
| 728 | } |
| 729 | |
| 730 | layer->SetBackendId(backend); |
| 731 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 732 | EmptyOptional(), |
| 733 | reasonIfUnsupported)) |
| 734 | { |
| 735 | supportedBackendFound = true; |
| 736 | break; |
| 737 | } |
| 738 | } |
| 739 | } |
| 740 | |
| 741 | return supportedBackendFound; |
| 742 | }; |
| 743 | |
| 744 | for (ConvertFp16ToFp32Layer* convertLayer : convertFp16ToFp32Layers) |
| 745 | { |
| 746 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 747 | { |
| 748 | return ReturnError(convertLayer); |
| 749 | } |
| 750 | } |
| 751 | |
| 752 | for (ConvertFp32ToFp16Layer* convertLayer : convertFp32ToFp16Layers) |
| 753 | { |
| 754 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 755 | { |
| 756 | return ReturnError(convertLayer); |
| 757 | } |
| 758 | } |
| 759 | |
| 760 | return result; |
| 761 | } |
| 762 | } |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 763 | else if (dataTypeIn == DataType::BFloat16 || dataTypeOut == DataType::BFloat16) |
| 764 | { |
| 765 | if (IWorkloadFactory::IsLayerSupported(*layer, DataType::Float32, reasonIfUnsupported) |
| 766 | && layer->GetType() != LayerType::ConvertFp32ToBf16 |
| 767 | && layer->GetType() != LayerType::ConvertBf16ToFp32) |
| 768 | { |
| 769 | // Insert BF16 -> FP32 conversion layer before current layer |
| 770 | std::vector<ConvertBf16ToFp32Layer*> convertBf16ToFp32Layers; |
| 771 | if (dataTypeIn == DataType::BFloat16) |
| 772 | { |
| 773 | convertBf16ToFp32Layers = |
| 774 | InsertConvertBf16ToFp32LayersBefore(graph, *layer); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 775 | if (layer->GetType() == LayerType::Convolution2d) |
| 776 | { |
| 777 | ConvertBf16ToFp32Weight<Convolution2dLayer>(layer); |
| 778 | } |
| 779 | else if (layer->GetType() == LayerType::FullyConnected) |
| 780 | { |
| 781 | ConvertBf16ToFp32Weight<FullyConnectedLayer>(layer); |
| 782 | } |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 783 | } |
| 784 | |
| 785 | // Insert FP32 -> BF16 conversion layer after current layer |
| 786 | std::vector<ConvertFp32ToBf16Layer*> convertFp32ToBf16Layers; |
| 787 | if (dataTypeOut == DataType::BFloat16) |
| 788 | { |
| 789 | convertFp32ToBf16Layers = |
| 790 | InsertConvertFp32ToBf16LayersAfter(graph, *layer); |
| 791 | } |
| 792 | |
| 793 | // Assign a supported backend to the newly introduced conversion layers |
| 794 | auto AssignFirstSupportedBackend = [&](Layer* layer, BackendId preferredBackend) |
| 795 | { |
| 796 | bool supportedBackendFound = false; |
| 797 | std::string reasonIfUnsupported; |
| 798 | |
| 799 | // Try preferred backend first |
| 800 | layer->SetBackendId(preferredBackend); |
| 801 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 802 | EmptyOptional(), |
| 803 | reasonIfUnsupported)) |
| 804 | { |
| 805 | supportedBackendFound = true; |
| 806 | } |
| 807 | else |
| 808 | { |
| 809 | for (const auto& backend : availablePreferredBackends) |
| 810 | { |
| 811 | // Skip preferred backend (we already determined that it is not supported) |
| 812 | if (backend == preferredBackend) |
| 813 | { |
| 814 | continue; |
| 815 | } |
| 816 | |
| 817 | layer->SetBackendId(backend); |
| 818 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 819 | EmptyOptional(), |
| 820 | reasonIfUnsupported)) |
| 821 | { |
| 822 | supportedBackendFound = true; |
| 823 | break; |
| 824 | } |
| 825 | } |
| 826 | } |
| 827 | |
| 828 | return supportedBackendFound; |
| 829 | }; |
| 830 | |
| 831 | for (ConvertBf16ToFp32Layer* convertLayer : convertBf16ToFp32Layers) |
| 832 | { |
| 833 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 834 | { |
| 835 | return ReturnError(convertLayer); |
| 836 | } |
| 837 | } |
| 838 | |
| 839 | for (ConvertFp32ToBf16Layer* convertLayer : convertFp32ToBf16Layers) |
| 840 | { |
| 841 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 842 | { |
| 843 | return ReturnError(convertLayer); |
| 844 | } |
| 845 | } |
| 846 | |
| 847 | return result; |
| 848 | } |
| 849 | } |
| 850 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 851 | std::stringstream warningMsg; |
| 852 | warningMsg << "Layer of type " << GetLayerTypeAsCString(layer->GetType()) |
| 853 | << " is not supported on requested backend " << layer->GetBackendId().Get() |
| 854 | << " for input data type " << GetDataTypeName(dataTypeIn) |
| 855 | << " and output data type " << GetDataTypeName(dataTypeOut) |
| 856 | << " (reason: " << reasonIfUnsupported |
| 857 | << "), falling back to the next backend."; |
| 858 | ReportWarning(warningMsg.str(), errMessages); |
| 859 | |
| 860 | return OptimizationResult(true, false); |
| 861 | } |
| 862 | else |
| 863 | { |
| 864 | return result; |
| 865 | } |
| 866 | } |
| 867 | |
| 868 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 869 | OptimizationResult AssignBackends(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 870 | BackendSettings& backendSettings, |
| 871 | Graph::Iterator& firstLayer, |
| 872 | Graph::Iterator& lastLayer, |
| 873 | Optional<std::vector<std::string>&> errMessages) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 874 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 875 | OptimizationResult result; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 876 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 877 | // Helper lambda to compose meaningful error message before returning with error |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 878 | auto ReturnError = [&](const Layer* layer) |
| 879 | { |
| 880 | return ReturnWithError(result, layer, backendSettings, errMessages); |
| 881 | }; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 882 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 883 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 884 | auto availablePreferredBackends = backendSettings.GetAvailablePreferredBackends(); |
| 885 | if (availablePreferredBackends.empty()) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 886 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 887 | std::stringstream failureMsg; |
| 888 | failureMsg << "No preferred backends are available"; |
| 889 | ReportError(failureMsg.str(), errMessages); |
| 890 | |
| 891 | result.m_Error = true; |
| 892 | return result; |
| 893 | } |
| 894 | |
| 895 | for (auto it = firstLayer; it != lastLayer; ++it) |
| 896 | { |
| 897 | auto layer = *it; |
Aron Virginas-Tar | 87972be | 2019-11-13 15:16:28 +0000 | [diff] [blame] | 898 | |
| 899 | DataType dataTypeIn = layer->GetNumInputSlots() == 0 ? DataType::Float32 : |
| 900 | layer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo().GetDataType(); |
| 901 | DataType dataTypeOut = layer->GetNumOutputSlots() == 0 ? DataType::Float32 : |
| 902 | layer->GetOutputSlot(0).GetTensorInfo().GetDataType(); |
| 903 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 904 | std::string reasonIfUnsupported; |
| 905 | bool found = false; |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 906 | if (!CheckScaleSetOnQuantizedType(layer, errMessages)) |
| 907 | { |
| 908 | // don't bomb immediately, find all the quantized outputs |
| 909 | // which haven't had a scale set and report them all back. |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 910 | result.m_Error = true; |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 911 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 912 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 913 | // First try assign layer to hint backend |
| 914 | if (layer->GetBackendHint().has_value() && |
| 915 | backendSettings.IsBackendSupported(layer->GetBackendHint().value()) && |
| 916 | AttemptBackendAssignment(backendSettings, |
| 917 | optNetObjPtr->GetGraph(), |
| 918 | layer, |
| 919 | layer->GetBackendHint().value(), |
| 920 | dataTypeIn, |
| 921 | dataTypeOut, |
| 922 | availablePreferredBackends, |
| 923 | reasonIfUnsupported, |
| 924 | errMessages).IsOk()) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 925 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 926 | found = true; |
| 927 | backendSettings.m_SelectedBackends.insert(layer->GetBackendHint().value()); |
| 928 | } |
| 929 | else |
| 930 | { |
| 931 | // Try assign layer to prefered list of backends |
| 932 | for (const auto& backend : availablePreferredBackends) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 933 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 934 | if (layer->GetBackendHint().has_value() && |
| 935 | layer->GetBackendHint().value() == backend) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 936 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 937 | continue; //Don't re-test the backend hint |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 938 | } |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 939 | |
| 940 | OptimizationResult res = AttemptBackendAssignment(backendSettings, |
| 941 | optNetObjPtr->GetGraph(), |
| 942 | layer, |
| 943 | backend, |
| 944 | dataTypeIn, |
| 945 | dataTypeOut, |
| 946 | availablePreferredBackends, |
| 947 | reasonIfUnsupported, |
| 948 | errMessages); |
| 949 | |
| 950 | if (res.IsOk()) |
| 951 | { |
| 952 | found = true; |
| 953 | backendSettings.m_SelectedBackends.insert(backend); |
| 954 | break; |
| 955 | } |
| 956 | else if (res.IsError()) |
| 957 | { |
| 958 | return res; // Cannot continue. |
| 959 | // Note: we don't need to log the error as it would already |
| 960 | // be logged in AttemptBackendAssignment(). |
| 961 | } |
| 962 | else |
| 963 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 964 | ARMNN_ASSERT_MSG(res.IsWarningOnly(), "OptimizationResult in unexpected state."); |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 965 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 966 | } |
| 967 | } |
| 968 | |
| 969 | // 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] | 970 | if (!found) |
| 971 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 972 | // NOTE: if the layer is not an operation queue type AND we have not got CpuRef as a |
| 973 | // fallback we should set the compute device on the layer to CpuRef (these are not |
| 974 | // available as accelerated operations, or are only available under certain |
| 975 | // conditions, currently they comprise MemCopy, Constant, Permute) |
| 976 | armnn::LayerType layerType = layer->GetType(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 977 | if (!backendSettings.IsCpuRefUsed() && (layerType == armnn::LayerType::MemCopy || |
| 978 | layerType == armnn::LayerType::Constant || |
| 979 | layerType == armnn::LayerType::Permute)) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 980 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 981 | BackendId cpuBackendId(armnn::Compute::CpuRef); |
| 982 | layer->SetBackendId(cpuBackendId); |
| 983 | backendSettings.m_SelectedBackends.insert(cpuBackendId); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 984 | } |
| 985 | else |
| 986 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 987 | return ReturnError(layer); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 988 | } |
| 989 | } |
| 990 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 991 | |
| 992 | return result; |
| 993 | } |
| 994 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 995 | OptimizationResult AssignBackends(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 996 | BackendSettings& backendSettings, |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 997 | SubgraphView& subgraph, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 998 | Optional<std::vector<std::string>&> errMessages) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 999 | { |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1000 | Graph::Iterator firstLayer = subgraph.begin(); |
| 1001 | Graph::Iterator lastLayer = subgraph.end(); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1002 | return AssignBackends(optNetObjPtr, |
| 1003 | backendSettings, |
| 1004 | firstLayer, |
| 1005 | lastLayer, |
| 1006 | errMessages); |
| 1007 | } |
| 1008 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1009 | BackendsMap CreateSupportedBackends(TensorHandleFactoryRegistry& handleFactoryRegistry, |
| 1010 | BackendSettings& backendSettings) |
| 1011 | { |
| 1012 | BackendsMap backends; |
| 1013 | auto const& backendRegistry = BackendRegistryInstance(); |
| 1014 | for (auto&& selectedBackend : backendSettings.m_SupportedBackends) |
| 1015 | { |
| 1016 | auto backendFactory = backendRegistry.GetFactory(selectedBackend); |
| 1017 | auto backendObjPtr = backendFactory(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1018 | ARMNN_ASSERT(backendObjPtr); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1019 | |
| 1020 | backendObjPtr->RegisterTensorHandleFactories(handleFactoryRegistry); |
| 1021 | |
| 1022 | backends[backendObjPtr->GetId()] = std::move(backendObjPtr); |
| 1023 | } |
| 1024 | |
| 1025 | return backends; |
| 1026 | } |
| 1027 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1028 | OptimizationResult ApplyBackendOptimizations(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1029 | BackendSettings& backendSettings, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1030 | BackendsMap& backends, |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1031 | const ModelOptions& modelOptions, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1032 | Optional<std::vector<std::string>&> errMessages) |
| 1033 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1034 | ARMNN_ASSERT(optNetObjPtr); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1035 | |
| 1036 | OptimizationResult result; |
| 1037 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1038 | // Get the optimized graph |
| 1039 | Graph& optGraph = optNetObjPtr->GetGraph(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1040 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1041 | // Run backend specific optimizations |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1042 | for (auto&& selectedBackend : backendSettings.m_SelectedBackends) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1043 | { |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1044 | auto backendObjPtr = backends.find(selectedBackend)->second.get(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1045 | ARMNN_ASSERT(backendObjPtr); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1046 | |
| 1047 | // Select sub-graphs based on backend |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1048 | SubgraphViewSelector::Subgraphs subgraphs = |
Rob Hughes | 65c3226 | 2019-07-23 15:33:39 +0100 | [diff] [blame] | 1049 | SubgraphViewSelector::SelectSubgraphs(optGraph, |
Matteo Martincigh | 602af09 | 2019-05-01 10:31:27 +0100 | [diff] [blame] | 1050 | // Select layers assigned to the requested backend |
| 1051 | [&backendObjPtr](const Layer& layer) |
| 1052 | { |
| 1053 | return layer.GetType() != LayerType::Input && |
| 1054 | layer.GetType() != LayerType::Output && |
| 1055 | layer.GetBackendId() == backendObjPtr->GetId(); |
| 1056 | }); |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1057 | if (subgraphs.empty()) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1058 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1059 | // No sub-graphs found, try with next selected backend |
| 1060 | continue; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1061 | } |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1062 | |
| 1063 | // Try to optimize each sub-graph |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1064 | for (auto& subgraph : subgraphs) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1065 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1066 | // Try to optimize the current sub-graph |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1067 | OptimizationViews optimizationViews = backendObjPtr->OptimizeSubgraphView(*subgraph, modelOptions); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1068 | ARMNN_ASSERT(optimizationViews.Validate(*subgraph)); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1069 | |
| 1070 | // Optimization attempted, check the resulting optimized sub-graph |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1071 | for (auto& substitution : optimizationViews.GetSubstitutions()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1072 | { |
| 1073 | // 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] | 1074 | SubgraphView& replacementSubgraph = substitution.m_ReplacementSubgraph; |
| 1075 | SubgraphView& substitutableSubgraph = substitution.m_SubstitutableSubgraph; |
| 1076 | optGraph.SubstituteSubgraph(substitutableSubgraph, replacementSubgraph); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1077 | |
| 1078 | // Assign the current backend to the optimized sub-graph |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1079 | std::for_each(replacementSubgraph.begin(), replacementSubgraph.end(), [&selectedBackend](Layer* l) |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1080 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1081 | ARMNN_ASSERT(l); |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1082 | l->SetBackendId(selectedBackend); |
| 1083 | }); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1084 | } |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1085 | |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1086 | if (!optimizationViews.GetFailedSubgraphs().empty()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1087 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1088 | std::stringstream warningMsg; |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1089 | warningMsg << "Some sub-graph(s) failed to optimized on " << backendObjPtr->GetId() << " backend."; |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1090 | ReportWarning(warningMsg.str(), errMessages); |
| 1091 | |
| 1092 | // 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] | 1093 | BackendSettings settingsCopy(backendSettings); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1094 | if (!backendObjPtr->GetId().IsCpuRef()) |
| 1095 | { |
| 1096 | // Add the current backend to the list of backends to ignore |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1097 | settingsCopy.m_IgnoredBackends.insert(backendObjPtr->GetId()); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1098 | } |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1099 | |
| 1100 | int count=0; |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1101 | for (auto& failedSubgraph : optimizationViews.GetFailedSubgraphs()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1102 | { |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1103 | // An error occurred: the optimization was attempted but not performed, try different backends |
| 1104 | std::stringstream subgraphMsg; |
| 1105 | subgraphMsg << "Re-assigning backends to " << failedSubgraph.GetLayers().size() |
| 1106 | << " layers inside sub-graph " << count++; |
Matteo Martincigh | 328d92b | 2019-07-04 17:52:55 +0100 | [diff] [blame] | 1107 | ReportWarning(subgraphMsg.str(), errMessages); |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1108 | |
| 1109 | OptimizationResult reassignmentResult = AssignBackends(optNetObjPtr, |
| 1110 | settingsCopy, |
| 1111 | *subgraph, |
| 1112 | errMessages); |
| 1113 | if (reassignmentResult.m_Error) |
| 1114 | { |
| 1115 | // Failed to re-assign one of the remaining backends to each layer of the sub-graph |
| 1116 | result.m_Error = true; |
| 1117 | return result; |
| 1118 | } |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1119 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1120 | } |
| 1121 | } |
| 1122 | } |
| 1123 | |
| 1124 | return result; |
| 1125 | } |
| 1126 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1127 | bool RequiresCopy(ITensorHandleFactory::FactoryId src, |
| 1128 | ITensorHandleFactory::FactoryId dst, |
| 1129 | TensorHandleFactoryRegistry& registry) |
| 1130 | { |
| 1131 | if (src != dst) |
| 1132 | { |
| 1133 | ITensorHandleFactory* srcFactory = registry.GetFactory(src); |
| 1134 | ITensorHandleFactory* dstFactory = registry.GetFactory(dst); |
| 1135 | |
Matteo Martincigh | a6539ed | 2019-08-27 13:43:32 +0100 | [diff] [blame] | 1136 | if (srcFactory && dstFactory && |
| 1137 | (srcFactory->GetExportFlags() & dstFactory->GetImportFlags()) != 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1138 | { |
| 1139 | return false; |
| 1140 | } |
| 1141 | return true; |
| 1142 | } |
| 1143 | return false; |
| 1144 | } |
| 1145 | |
| 1146 | // Find the handle factory for the input layer which results in fewest required copies. |
| 1147 | ITensorHandleFactory::FactoryId CalculateSlotOptionForInput(BackendsMap& backends, |
| 1148 | OutputSlot& slot, |
| 1149 | TensorHandleFactoryRegistry& registry) |
| 1150 | { |
| 1151 | Layer& layer = slot.GetOwningLayer(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1152 | ARMNN_ASSERT(layer.GetType() == LayerType::Input); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1153 | |
| 1154 | // Explicitly select the tensorhandle factory for InputLayer because the rules for it are slightly different. It |
| 1155 | // doesn't matter which backend it is assigned to because they all use the same implementation, which |
| 1156 | // requires Map/Unmap support. This means that, so long as the handle type supports map/unmap semantics, we can |
| 1157 | // select a factory with maximum compatibility with the layers connected to the InputLayer. |
| 1158 | |
| 1159 | // First ensure the from backends can support the TensorHandeAPI |
| 1160 | auto frmBackend = backends.find(layer.GetBackendId()); |
| 1161 | if (frmBackend == backends.end() || |
| 1162 | !frmBackend->second->SupportsTensorAllocatorAPI()) |
| 1163 | { |
| 1164 | return ITensorHandleFactory::LegacyFactoryId; |
| 1165 | } |
| 1166 | |
| 1167 | // Go through all connections to the output slot and determine the TensorHandleFactory which results in the |
| 1168 | // fewest copies. |
| 1169 | std::map<ITensorHandleFactory::FactoryId, int> factoryScores; |
| 1170 | int topScore = 0; |
| 1171 | ITensorHandleFactory::FactoryId topChoice = ITensorHandleFactory::LegacyFactoryId; |
| 1172 | |
| 1173 | for (auto&& connection : slot.GetConnections()) |
| 1174 | { |
| 1175 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1176 | |
| 1177 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1178 | 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] | 1179 | |
| 1180 | if (!toBackend->second.get()->SupportsTensorAllocatorAPI()) |
| 1181 | { |
| 1182 | // The destination backend does not support the tensor allocator API, move to the next one |
| 1183 | continue; |
| 1184 | } |
| 1185 | |
| 1186 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1187 | for (auto&& dst : dstPrefs) |
| 1188 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1189 | // Input layers use the mem copy workload or import, so the selected factory must |
| 1190 | // support either the map/unmap API or Import API |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1191 | ITensorHandleFactory* factory = registry.GetFactory(dst); |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1192 | if (!factory->SupportsMapUnmap() && |
| 1193 | !CheckFlag(factory->GetImportFlags(), MemorySource::Malloc)) // Just support cpu mem imports for now |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1194 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1195 | // The current tensor handle factory does not support the map/unmap or import |
| 1196 | // strategy, move to the next one |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1197 | continue; |
| 1198 | } |
| 1199 | |
| 1200 | auto it = factoryScores.find(dst); |
| 1201 | if (it == factoryScores.end()) |
| 1202 | { |
| 1203 | // Add new score to the table |
| 1204 | factoryScores[dst] = 0; |
| 1205 | if (topChoice == ITensorHandleFactory::LegacyFactoryId) |
| 1206 | { |
| 1207 | topChoice = dst; |
| 1208 | } |
| 1209 | } |
| 1210 | else |
| 1211 | { |
| 1212 | // Increase the score |
| 1213 | factoryScores[dst]++; |
| 1214 | |
| 1215 | // Track the best option |
| 1216 | if (factoryScores[dst] > topScore) |
| 1217 | { |
| 1218 | topScore = factoryScores[dst]; |
| 1219 | topChoice = dst; |
| 1220 | } |
| 1221 | } |
| 1222 | } |
| 1223 | } |
| 1224 | |
| 1225 | return topChoice; |
| 1226 | } |
| 1227 | |
| 1228 | // Find the handle factory for the output layer which results in fewest required copies. |
| 1229 | ITensorHandleFactory::FactoryId CalculateSlotOptionForOutput(BackendsMap& backends, |
| 1230 | OutputSlot& slot, |
| 1231 | TensorHandleFactoryRegistry& registry) |
| 1232 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 1233 | IgnoreUnused(backends, slot, registry); |
Derek Lamberti | 94a88d2 | 2019-12-10 21:12:59 +0000 | [diff] [blame] | 1234 | return ITensorHandleFactory::DeferredFactoryId; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1235 | } |
| 1236 | |
| 1237 | // For all handle factories supported on the source backend, we wish to find the one which requires the fewest copies |
| 1238 | // when considering all connections. |
| 1239 | ITensorHandleFactory::FactoryId CalculateSlotOption(BackendsMap& backends, |
| 1240 | OutputSlot& outputSlot, |
| 1241 | TensorHandleFactoryRegistry& registry) |
| 1242 | { |
| 1243 | // First ensure the from backends can support the TensorHandeAPI |
| 1244 | Layer& layer = outputSlot.GetOwningLayer(); |
| 1245 | auto frmBackend = backends.find(layer.GetBackendId()); |
| 1246 | if (frmBackend == backends.end() || |
| 1247 | !frmBackend->second->SupportsTensorAllocatorAPI()) |
| 1248 | { |
| 1249 | return ITensorHandleFactory::LegacyFactoryId; |
| 1250 | } |
| 1251 | |
| 1252 | // Connections to Output Layers requires support for map/unmap on the TensorHandle. |
| 1253 | bool requiresMapUnmap = false; |
| 1254 | for (auto&& connection : outputSlot.GetConnections()) |
| 1255 | { |
| 1256 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1257 | if (connectedLayer.GetType() == LayerType::Output) |
| 1258 | { |
| 1259 | requiresMapUnmap = true; |
| 1260 | } |
| 1261 | } |
| 1262 | |
| 1263 | IBackendInternal* srcBackend = frmBackend->second.get(); |
| 1264 | auto srcPrefs = srcBackend->GetHandleFactoryPreferences(); |
| 1265 | |
| 1266 | // Initialize the scores |
| 1267 | std::map<ITensorHandleFactory::FactoryId, int> factoryScores; |
| 1268 | for (auto&& pref : srcPrefs) |
| 1269 | { |
| 1270 | if (requiresMapUnmap) // Only consider factories that support map/unmap if required |
| 1271 | { |
| 1272 | ITensorHandleFactory* factory = registry.GetFactory(pref); |
| 1273 | if (!factory->SupportsMapUnmap()) |
| 1274 | { |
| 1275 | // The current tensor handle factory does not support the map/unmap strategy, move to the next one |
| 1276 | continue; |
| 1277 | } |
| 1278 | } |
| 1279 | |
| 1280 | auto it = factoryScores.find(pref); |
| 1281 | if (it == factoryScores.end()) |
| 1282 | { |
| 1283 | // Add new score to the table |
| 1284 | factoryScores[pref] = 0; |
| 1285 | } |
| 1286 | } |
| 1287 | |
| 1288 | // Score each handle factory based on how many times it requires copies on the slot connections |
| 1289 | for (auto&& connection : outputSlot.GetConnections()) |
| 1290 | { |
| 1291 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1292 | |
| 1293 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1294 | 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] | 1295 | |
| 1296 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1297 | for (auto&& src : srcPrefs) |
| 1298 | { |
| 1299 | if (factoryScores.find(src) == factoryScores.end()) // Don't consider excluded factories |
| 1300 | { |
| 1301 | continue; |
| 1302 | } |
| 1303 | |
| 1304 | for (auto&& dst : dstPrefs) |
| 1305 | { |
| 1306 | if (RequiresCopy(src, dst, registry)) |
| 1307 | { |
| 1308 | // Copy avoided, increase the score |
| 1309 | factoryScores[src]++; |
| 1310 | break; |
| 1311 | } |
| 1312 | } |
| 1313 | } |
| 1314 | } |
| 1315 | |
| 1316 | // Find the lowest score |
| 1317 | int minScore = std::numeric_limits<int>::max(); |
| 1318 | for (auto it : factoryScores) |
| 1319 | { |
| 1320 | minScore = std::min(minScore, it.second); |
| 1321 | } |
| 1322 | |
| 1323 | // Collect factories matching the best(lowest) score |
| 1324 | std::vector<ITensorHandleFactory::FactoryId> optimalFactories; |
| 1325 | for (auto it : factoryScores) |
| 1326 | { |
| 1327 | if (it.second == minScore) |
| 1328 | { |
| 1329 | optimalFactories.push_back(it.first); |
| 1330 | } |
| 1331 | } |
| 1332 | |
| 1333 | // For all compatible Factories matching the best score, find the preferred one for the current layer. |
| 1334 | for (auto&& srcPref : srcPrefs) |
| 1335 | { |
| 1336 | for (auto&& comp : optimalFactories) |
| 1337 | { |
| 1338 | if (comp == srcPref) |
| 1339 | { |
| 1340 | return comp; |
| 1341 | } |
| 1342 | } |
| 1343 | } |
| 1344 | |
| 1345 | return ITensorHandleFactory::LegacyFactoryId; |
| 1346 | } |
| 1347 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1348 | EdgeStrategy CalculateEdgeStrategy(BackendsMap& backends, |
| 1349 | ITensorHandleFactory::FactoryId srcFactoryId, |
| 1350 | const Layer& layer, |
| 1351 | const Layer& connectedLayer, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1352 | TensorHandleFactoryRegistry& registry, |
| 1353 | bool importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1354 | { |
| 1355 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1356 | 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] | 1357 | |
| 1358 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1359 | |
| 1360 | // Legacy API check for backward compatibility |
| 1361 | if (srcFactoryId == ITensorHandleFactory::LegacyFactoryId || dstPrefs.empty()) |
| 1362 | { |
| 1363 | if (layer.GetBackendId() != connectedLayer.GetBackendId()) |
| 1364 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1365 | return EdgeStrategy::CopyToTarget; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1366 | } |
| 1367 | else |
| 1368 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1369 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1370 | } |
| 1371 | } |
| 1372 | |
| 1373 | // TensorHandleFactory API present, so perform more sophisticated strategies. |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1374 | // 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] | 1375 | if (connectedLayer.GetType() == LayerType::Output) |
| 1376 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1377 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1378 | } |
| 1379 | |
| 1380 | // Search for direct match in prefs |
| 1381 | for (auto&& pref : dstPrefs) |
| 1382 | { |
| 1383 | if (pref == srcFactoryId) |
| 1384 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1385 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1386 | } |
| 1387 | } |
| 1388 | |
| 1389 | // Search for export/import options |
| 1390 | ITensorHandleFactory* srcFactory = registry.GetFactory(srcFactoryId); |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1391 | if (srcFactory->GetExportFlags() != 0 && importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1392 | { |
| 1393 | for (auto&& pref : dstPrefs) |
| 1394 | { |
| 1395 | ITensorHandleFactory* dstFactory = registry.GetFactory(pref); |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1396 | |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1397 | // Handles cases when a destPref is not listed in TensorHandleFactoryRegistry |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1398 | if (!dstFactory) { |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1399 | continue; |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1400 | } |
| 1401 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1402 | if ((dstFactory->GetImportFlags() & srcFactory->GetExportFlags()) != 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1403 | { |
Narumol Prangnawarat | b8d771a | 2020-08-14 11:51:12 +0100 | [diff] [blame] | 1404 | auto srcCapability = srcFactory->GetCapabilities(&layer, &layer, CapabilityClass::PaddingRequired); |
| 1405 | auto dstCapability = dstFactory->GetCapabilities(&connectedLayer, |
| 1406 | &connectedLayer, |
| 1407 | CapabilityClass::PaddingRequired); |
| 1408 | // Do not require memory copy if the source and destination do not require padding. |
| 1409 | if (srcCapability.empty() && dstCapability.empty()) |
| 1410 | { |
| 1411 | return EdgeStrategy::ExportToTarget; |
| 1412 | } |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1413 | } |
| 1414 | } |
| 1415 | } |
| 1416 | |
| 1417 | // Search for copy options via map/unmap |
| 1418 | if (srcFactory->SupportsMapUnmap()) |
| 1419 | { |
| 1420 | for (auto&& pref : dstPrefs) |
| 1421 | { |
| 1422 | ITensorHandleFactory* dstFactory = registry.GetFactory(pref); |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1423 | if (dstFactory && dstFactory->SupportsMapUnmap()) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1424 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1425 | return EdgeStrategy::CopyToTarget; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1426 | } |
| 1427 | } |
| 1428 | } |
| 1429 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1430 | return EdgeStrategy::Undefined; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1431 | } |
| 1432 | |
| 1433 | // Select the TensorHandleFactories and the corresponding memory strategy |
| 1434 | OptimizationResult SelectTensorHandleStrategy(Graph& optGraph, |
| 1435 | BackendsMap& backends, |
| 1436 | TensorHandleFactoryRegistry& registry, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1437 | bool importEnabled, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1438 | Optional<std::vector<std::string>&> errMessages) |
| 1439 | { |
| 1440 | OptimizationResult result; |
| 1441 | |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1442 | optGraph.ForEachLayer([&backends, ®istry, &result, &errMessages, importEnabled](Layer* layer) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1443 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1444 | ARMNN_ASSERT(layer); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1445 | |
| 1446 | // Lets make sure the backend is in our list of supported backends. Something went wrong during backend |
| 1447 | // assignment if this check fails |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1448 | ARMNN_ASSERT(backends.find(layer->GetBackendId()) != backends.end()); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1449 | |
| 1450 | // Check each output separately |
| 1451 | for (unsigned int slotIdx = 0; slotIdx < layer->GetNumOutputSlots(); slotIdx++) |
| 1452 | { |
| 1453 | OutputSlot& outputSlot = layer->GetOutputSlot(slotIdx); |
| 1454 | |
| 1455 | ITensorHandleFactory::FactoryId slotOption = ITensorHandleFactory::LegacyFactoryId; |
| 1456 | |
| 1457 | // Calculate the factory to use which results in the fewest copies being made. |
| 1458 | switch(layer->GetType()) |
| 1459 | { |
| 1460 | case LayerType::Input: |
| 1461 | slotOption = CalculateSlotOptionForInput(backends, outputSlot, registry); |
| 1462 | break; |
| 1463 | case LayerType::Output: |
| 1464 | slotOption = CalculateSlotOptionForOutput(backends, outputSlot, registry); |
| 1465 | break; |
| 1466 | default: |
| 1467 | slotOption = CalculateSlotOption(backends, outputSlot, registry); |
| 1468 | break; |
| 1469 | } |
| 1470 | outputSlot.SetTensorHandleFactory(slotOption); |
| 1471 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1472 | // Now determine the "best" edge strategy for each connection given the slotOption. |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1473 | unsigned int connectionIdx = 0; |
| 1474 | for (auto&& connection : outputSlot.GetConnections()) |
| 1475 | { |
| 1476 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1477 | |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1478 | EdgeStrategy strategy = CalculateEdgeStrategy(backends, slotOption, *layer, connectedLayer, |
| 1479 | registry, importEnabled); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1480 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1481 | if (strategy == EdgeStrategy::Undefined) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1482 | { |
| 1483 | result.m_Error = true; |
| 1484 | if (errMessages) |
| 1485 | { |
| 1486 | errMessages.value().emplace_back("Could not find valid strategy required for compatibility" |
| 1487 | " between backends."); |
| 1488 | } |
| 1489 | return; |
| 1490 | } |
| 1491 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1492 | outputSlot.SetEdgeStrategy(connectionIdx, strategy); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1493 | |
| 1494 | connectionIdx++; |
| 1495 | } |
| 1496 | } |
| 1497 | }); |
| 1498 | |
| 1499 | return result; |
| 1500 | } |
| 1501 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1502 | IOptimizedNetworkPtr Optimize(const INetwork& inNetwork, |
| 1503 | const std::vector<BackendId>& backendPreferences, |
| 1504 | const IDeviceSpec& deviceSpec, |
| 1505 | const OptimizerOptions& options, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1506 | Optional<std::vector<std::string>&> messages) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1507 | { |
| 1508 | if (backendPreferences.empty()) |
| 1509 | { |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1510 | throw InvalidArgumentException("Invoked Optimize with no backends specified"); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1511 | } |
| 1512 | |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1513 | if (options.m_ReduceFp32ToFp16 && options.m_ReduceFp32ToBf16) |
| 1514 | { |
| 1515 | throw InvalidArgumentException("BFloat16 and Float16 optimization cannot be enabled at the same time."); |
| 1516 | } |
| 1517 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1518 | std::unique_ptr<Graph> graph = std::make_unique<Graph>(inNetwork.pNetworkImpl->GetGraph()); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1519 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1520 | auto optNet = IOptimizedNetworkPtr(new IOptimizedNetwork(std::move(graph), options.m_ModelOptions), |
Sadik Armagan | 045f6be | 2020-09-10 13:37:32 +0100 | [diff] [blame] | 1521 | &IOptimizedNetwork::Destroy); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1522 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1523 | IOptimizedNetwork* optNetObjPtr = optNet.get(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1524 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1525 | // Get the optimized graph |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1526 | Graph& optGraph = optNetObjPtr->pOptimizedNetworkImpl->GetGraph(); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1527 | |
Narumol Prangnawarat | 16f82f9 | 2020-09-14 16:12:44 +0100 | [diff] [blame] | 1528 | // Perform AddBroadcastReshapeLayer optimisation |
| 1529 | using namespace optimizations; |
| 1530 | Optimizer::Pass(optGraph, MakeOptimizations(AddBroadcastReshapeLayer())); |
| 1531 | |
Narumol Prangnawarat | bbf71a6 | 2020-09-07 14:05:22 +0100 | [diff] [blame] | 1532 | // Infer the tensor infos for all output slots. Throws an exception on failure |
| 1533 | optGraph.InferTensorInfos(); |
| 1534 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1535 | // Perform optimisation passes |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1536 | Optimizer::Pass(optGraph, MakeOptimizations(SquashEqualPermuteSiblings(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1537 | SquashEqualTransposeSiblings(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1538 | SquashEqualReshapeSiblings(), |
| 1539 | OptimizeInversePermutes(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1540 | OptimizeInverseTransposes(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1541 | MovePermuteUp(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1542 | MoveTransposeUp(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1543 | PermuteAsReshape(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1544 | TransposeAsReshape(), |
Nina Drozd | 861985f | 2019-04-18 14:48:51 +0100 | [diff] [blame] | 1545 | OptimizeConsecutiveReshapes(), |
Rob Hughes | 3a7d3a7 | 2019-09-24 16:59:56 +0100 | [diff] [blame] | 1546 | FoldPadIntoConvolution2d(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1547 | PermuteAndBatchToSpaceAsDepthToSpace(), |
Teresa Charlin | 06e0300 | 2020-10-15 13:16:07 +0100 | [diff] [blame] | 1548 | TransposeAndBatchToSpaceAsDepthToSpace(), |
Mike Kelly | 90231b8 | 2020-11-05 15:44:56 +0000 | [diff] [blame] | 1549 | FuseBatchNormIntoConvolution2DFloat32(), |
| 1550 | FuseBatchNormIntoConvolution2DFloat16(), |
| 1551 | FuseBatchNormIntoDepthwiseConvolution2DFloat32(), |
| 1552 | FuseBatchNormIntoDepthwiseConvolution2DFloat16())); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1553 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1554 | // If Fp32 to Fp16 optimization is set convert Fp32 network to Fp16 |
| 1555 | if (options.m_ReduceFp32ToFp16) |
| 1556 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1557 | Optimizer::Pass(optGraph, MakeOptimizations(Fp32NetworkToFp16Converter())); |
Derek Lamberti | dd6804b | 2019-11-27 09:29:57 +0000 | [diff] [blame] | 1558 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsFloatToHalf())); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1559 | } |
| 1560 | |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1561 | // If Fp32 to Bf16 optimization is set convert Fp32 network to Bf16 |
Narumol Prangnawarat | 57ef008 | 2020-03-26 09:20:43 +0000 | [diff] [blame] | 1562 | // Convert input of Convolution2d and FullyConnected from Fp32 to Bf16 |
| 1563 | // 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] | 1564 | if (options.m_ReduceFp32ToBf16) |
| 1565 | { |
| 1566 | Optimizer::Pass(optGraph, MakeOptimizations(Fp32NetworkToBf16Converter())); |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1567 | } |
| 1568 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1569 | // Initialize backend settings |
| 1570 | BackendSettings backendSettings(backendPreferences, deviceSpec); |
| 1571 | if (backendSettings.GetAvailablePreferredBackends().empty()) |
| 1572 | { |
| 1573 | std::stringstream failureMsg; |
| 1574 | failureMsg << "None of the preferred backends " << backendPreferences |
| 1575 | << " are supported. Current platform provides " << backendSettings.m_SupportedBackends; |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1576 | ReportError(failureMsg.str(), messages); |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1577 | throw InvalidArgumentException(failureMsg.str()); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1578 | } |
| 1579 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1580 | // Create a map to temporarily hold initialized backend objects |
| 1581 | TensorHandleFactoryRegistry tensorHandleFactoryRegistry; |
| 1582 | BackendsMap backends = CreateSupportedBackends(tensorHandleFactoryRegistry, backendSettings); |
| 1583 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1584 | // Assign an available backend to each layer |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1585 | Graph::Iterator firstLayer = optGraph.begin(); |
| 1586 | Graph::Iterator lastLayer = optGraph.end(); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1587 | OptimizationResult assignBackendsResult = AssignBackends(optNetObjPtr->pOptimizedNetworkImpl.get(), |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1588 | backendSettings, |
| 1589 | firstLayer, |
| 1590 | lastLayer, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1591 | messages); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1592 | if (assignBackendsResult.m_Error) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1593 | { |
| 1594 | // Failed to assign a backend to each layer |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1595 | throw InvalidArgumentException("Failed to assign a backend to each layer"); |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 1596 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1597 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1598 | Optimizer::Pass(optGraph, MakeOptimizations(OptimizeInverseConversionsFp16(), |
| 1599 | OptimizeInverseConversionsFp32())); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1600 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1601 | // Apply the backend-specific optimizations |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1602 | OptimizationResult backendOptimizationResult = ApplyBackendOptimizations(optNetObjPtr->pOptimizedNetworkImpl.get(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1603 | backendSettings, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1604 | backends, |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1605 | options.m_ModelOptions, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1606 | messages); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1607 | if (backendOptimizationResult.m_Error) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1608 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1609 | // Failed to apply the backend-specific optimizations |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1610 | throw InvalidArgumentException("Failed to apply the backend-specific optimizations"); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1611 | } |
| 1612 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1613 | // If the debug flag is set, then insert a DebugLayer after each layer |
| 1614 | // Doing this after applying the backend optimizations as they might have changed some layers |
| 1615 | if (options.m_Debug) |
| 1616 | { |
| 1617 | Optimizer::Pass(optGraph, MakeOptimizations(InsertDebugLayer())); |
| 1618 | } |
| 1619 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1620 | // Calculate the compatibility strategies for tensor handles |
| 1621 | OptimizationResult strategyResult = SelectTensorHandleStrategy(optGraph, |
| 1622 | backends, |
| 1623 | tensorHandleFactoryRegistry, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1624 | options.m_ImportEnabled, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1625 | messages); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1626 | if (strategyResult.m_Error) |
| 1627 | { |
| 1628 | // Failed to apply the backend-specific optimizations |
| 1629 | return IOptimizedNetworkPtr(nullptr, &IOptimizedNetwork::Destroy); |
| 1630 | } |
| 1631 | |
| 1632 | // 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] | 1633 | optGraph.AddCompatibilityLayers(backends, tensorHandleFactoryRegistry); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1634 | |
| 1635 | // Convert constants |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1636 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsFloatToHalf())); |
| 1637 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsHalfToFloat())); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1638 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1639 | // Run backend specific optimizations (deprecated) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1640 | for (auto&& chosenBackend : backendSettings.m_SelectedBackends) |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1641 | { |
| 1642 | auto factoryFun = BackendRegistryInstance().GetFactory(chosenBackend); |
| 1643 | auto backendPtr = factoryFun(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1644 | ARMNN_ASSERT(backendPtr.get() != nullptr); |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1645 | |
Matteo Martincigh | ed73504 | 2019-05-22 09:42:43 +0100 | [diff] [blame] | 1646 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1647 | auto backendSpecificOptimizations = backendPtr->GetOptimizations(); |
Matteo Martincigh | ed73504 | 2019-05-22 09:42:43 +0100 | [diff] [blame] | 1648 | ARMNN_NO_DEPRECATE_WARN_END |
| 1649 | |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1650 | if (!backendSpecificOptimizations.empty()) |
| 1651 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1652 | Optimizer::Pass(optNetObjPtr->pOptimizedNetworkImpl->GetGraph(), backendSpecificOptimizations); |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1653 | } |
| 1654 | } |
| 1655 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1656 | return optNet; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1657 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1658 | bool NetworkImpl::GetShapeInferenceMethod() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1659 | { |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 1660 | if (m_NetworkOptions.size() > 0 && m_NetworkOptions[0].GetBackendId().Get() == "ShapeInferenceMethod") |
| 1661 | { |
| 1662 | return m_NetworkOptions[0].GetOption(0).GetValue().AsBool(); |
| 1663 | } |
| 1664 | |
| 1665 | return false; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1666 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1667 | NetworkImpl::NetworkImpl(NetworkOptions networkOptions) |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 1668 | : m_NetworkOptions(networkOptions), |
| 1669 | m_Graph(std::make_unique<Graph>(GetShapeInferenceMethod())) |
| 1670 | {} |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1671 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1672 | NetworkImpl::~NetworkImpl() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1673 | { |
| 1674 | } |
| 1675 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1676 | Status NetworkImpl::PrintGraph() |
Jan Eilers | 99d9d4a | 2019-11-06 10:02:16 +0000 | [diff] [blame] | 1677 | { |
| 1678 | m_Graph->Print(); |
| 1679 | return Status::Success; |
| 1680 | } |
| 1681 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1682 | IConnectableLayer* NetworkImpl::AddInputLayer(LayerBindingId id, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1683 | { |
| 1684 | return m_Graph->AddLayer<InputLayer>(id, name); |
| 1685 | } |
| 1686 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1687 | IConnectableLayer* NetworkImpl::AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor& batchToSpaceNdDescriptor, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 1688 | const char* name) |
| 1689 | { |
| 1690 | return m_Graph->AddLayer<BatchToSpaceNdLayer>(batchToSpaceNdDescriptor, name); |
| 1691 | } |
| 1692 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1693 | IConnectableLayer* NetworkImpl::AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor, |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 1694 | const char* name) |
| 1695 | { |
| 1696 | return m_Graph->AddLayer<ComparisonLayer>(comparisonDescriptor, name); |
| 1697 | } |
| 1698 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1699 | IConnectableLayer* NetworkImpl::AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& elementwiseUnaryDescriptor, |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 1700 | const char* name) |
| 1701 | { |
| 1702 | return m_Graph->AddLayer<ElementwiseUnaryLayer>(elementwiseUnaryDescriptor, name); |
| 1703 | } |
| 1704 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1705 | IConnectableLayer* NetworkImpl::AddFillLayer(const FillDescriptor& fillDescriptor, |
Ryan OShea | ec6c680 | 2020-06-05 17:17:06 +0100 | [diff] [blame] | 1706 | const char* name) |
| 1707 | { |
| 1708 | return m_Graph->AddLayer<FillLayer>(fillDescriptor, name); |
| 1709 | } |
| 1710 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1711 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayerImpl(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1712 | const ConstTensor& weights, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1713 | const Optional<ConstTensor>& biases, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1714 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1715 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1716 | if (fullyConnectedDescriptor.m_BiasEnabled && !biases.has_value()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1717 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1718 | throw InvalidArgumentException("AddFullyConnectedLayer: biases cannot be empty"); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1719 | } |
| 1720 | |
| 1721 | const auto layer = m_Graph->AddLayer<FullyConnectedLayer>(fullyConnectedDescriptor, name); |
| 1722 | |
| 1723 | layer->m_Weight = std::make_unique<ScopedCpuTensorHandle>(weights); |
| 1724 | |
| 1725 | if (fullyConnectedDescriptor.m_BiasEnabled) |
| 1726 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1727 | layer->m_Bias = std::make_unique<ScopedCpuTensorHandle>(biases.value()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1728 | } |
| 1729 | |
| 1730 | return layer; |
| 1731 | } |
| 1732 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1733 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1734 | const ConstTensor& weights, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1735 | const Optional<ConstTensor>& biases, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1736 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1737 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1738 | return AddFullyConnectedLayerImpl(fullyConnectedDescriptor, weights, biases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1739 | } |
| 1740 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1741 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1742 | const ConstTensor& weights, |
| 1743 | const char* name) |
| 1744 | { |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 1745 | Optional<ConstTensor> biases; |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1746 | return AddFullyConnectedLayerImpl(fullyConnectedDescriptor, weights, biases, name); |
| 1747 | } |
| 1748 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1749 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1750 | const ConstTensor& weights, |
| 1751 | const ConstTensor& biases, |
| 1752 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1753 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1754 | Optional<ConstTensor> optionalBiases(biases); |
| 1755 | return AddFullyConnectedLayerImpl(fullyConnectedDescriptor, weights, optionalBiases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1756 | } |
| 1757 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1758 | IConnectableLayer* NetworkImpl::AddConcatLayer(const ConcatDescriptor& concatDescriptor, |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1759 | const char* name) |
| 1760 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1761 | return m_Graph->AddLayer<ConcatLayer>(concatDescriptor, name); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1762 | } |
| 1763 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1764 | IConnectableLayer* NetworkImpl::AddConvolution2dLayerImpl(const Convolution2dDescriptor& convolution2dDescriptor, |
| 1765 | const ConstTensor& weights, |
| 1766 | const Optional<ConstTensor>& biases, |
| 1767 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1768 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1769 | if (convolution2dDescriptor.m_BiasEnabled && !biases.has_value()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1770 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1771 | throw InvalidArgumentException("AddConvolution2dLayer: biases cannot be empty"); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1772 | } |
| 1773 | |
| 1774 | const auto layer = m_Graph->AddLayer<Convolution2dLayer>(convolution2dDescriptor, name); |
| 1775 | |
| 1776 | layer->m_Weight = std::make_unique<ScopedCpuTensorHandle>(weights); |
| 1777 | |
| 1778 | if (convolution2dDescriptor.m_BiasEnabled) |
| 1779 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1780 | layer->m_Bias = std::make_unique<ScopedCpuTensorHandle>(biases.value()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1781 | } |
| 1782 | |
| 1783 | return layer; |
| 1784 | } |
| 1785 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1786 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1787 | const ConstTensor& weights, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1788 | const Optional<ConstTensor>& biases, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1789 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1790 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1791 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1792 | } |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1793 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1794 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1795 | const ConstTensor& weights, |
| 1796 | const char* name) |
| 1797 | { |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 1798 | Optional<ConstTensor> biases; |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1799 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
| 1800 | } |
| 1801 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1802 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1803 | const ConstTensor& weights, |
| 1804 | const ConstTensor& biases, |
| 1805 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1806 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1807 | Optional<ConstTensor> optionalBiases(biases); |
| 1808 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, optionalBiases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1809 | } |
| 1810 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1811 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayerImpl( |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1812 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1813 | const ConstTensor& weights, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1814 | const Optional<ConstTensor>& biases, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1815 | const char* name) |
| 1816 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1817 | if (convolution2dDescriptor.m_BiasEnabled && !biases.has_value()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1818 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1819 | throw InvalidArgumentException("AddDepthwiseConvolution2dLayer: biases cannot be empty"); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1820 | } |
| 1821 | |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 1822 | const auto layer = m_Graph->AddLayer<DepthwiseConvolution2dLayer>(convolution2dDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1823 | |
| 1824 | layer->m_Weight = std::make_unique<ScopedCpuTensorHandle>(weights); |
| 1825 | |
| 1826 | if (convolution2dDescriptor.m_BiasEnabled) |
| 1827 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1828 | layer->m_Bias = std::make_unique<ScopedCpuTensorHandle>(biases.value()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1829 | } |
| 1830 | |
| 1831 | return layer; |
| 1832 | } |
| 1833 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1834 | IConnectableLayer* NetworkImpl::AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor, |
Aron Virginas-Tar | dd6247f | 2019-09-19 14:31:17 +0100 | [diff] [blame] | 1835 | const char* name) |
| 1836 | { |
| 1837 | return m_Graph->AddLayer<DepthToSpaceLayer>(depthToSpaceDescriptor, name); |
| 1838 | } |
| 1839 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1840 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayer( |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1841 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1842 | const ConstTensor& weights, |
| 1843 | const Optional<ConstTensor>& biases, |
| 1844 | const char* name) |
| 1845 | { |
| 1846 | return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
| 1847 | } |
| 1848 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1849 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayer( |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1850 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1851 | const ConstTensor& weights, |
| 1852 | const char* name) |
| 1853 | { |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 1854 | Optional<ConstTensor> biases; |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1855 | return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1856 | } |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1857 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1858 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayer( |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1859 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1860 | const ConstTensor& weights, |
| 1861 | const ConstTensor& biases, |
| 1862 | const char* name) |
| 1863 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1864 | Optional<ConstTensor> optionalBiases(biases); |
| 1865 | return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, optionalBiases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1866 | } |
| 1867 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1868 | IConnectableLayer* NetworkImpl::AddDetectionPostProcessLayer(const armnn::DetectionPostProcessDescriptor& descriptor, |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 1869 | const ConstTensor& anchors, const char* name) |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 1870 | { |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 1871 | const auto layer = m_Graph->AddLayer<DetectionPostProcessLayer>(descriptor, name); |
| 1872 | |
| 1873 | layer->m_Anchors = std::make_unique<ScopedCpuTensorHandle>(anchors); |
| 1874 | |
| 1875 | return layer; |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 1876 | } |
| 1877 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1878 | IConnectableLayer* NetworkImpl::AddPermuteLayer(const PermuteDescriptor& permuteDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1879 | const char* name) |
| 1880 | { |
| 1881 | return m_Graph->AddLayer<PermuteLayer>(permuteDescriptor, name); |
| 1882 | } |
| 1883 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1884 | IConnectableLayer* NetworkImpl::AddPooling2dLayer(const Pooling2dDescriptor& pooling2dDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1885 | const char* name) |
| 1886 | { |
| 1887 | return m_Graph->AddLayer<Pooling2dLayer>(pooling2dDescriptor, name); |
| 1888 | } |
| 1889 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1890 | IConnectableLayer* NetworkImpl::AddActivationLayer(const ActivationDescriptor& activationDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1891 | const char* name) |
| 1892 | { |
| 1893 | return m_Graph->AddLayer<ActivationLayer>(activationDescriptor, name); |
| 1894 | } |
| 1895 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1896 | IConnectableLayer* NetworkImpl::AddArgMinMaxLayer(const ArgMinMaxDescriptor& argMinMaxDescriptor, |
Nikhil Raj | ee391d5 | 2019-09-05 17:50:44 +0100 | [diff] [blame] | 1897 | const char* name) |
| 1898 | { |
| 1899 | return m_Graph->AddLayer<ArgMinMaxLayer>(argMinMaxDescriptor, name); |
| 1900 | } |
| 1901 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1902 | IConnectableLayer* NetworkImpl::AddNormalizationLayer(const NormalizationDescriptor& |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1903 | normalizationDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1904 | const char* name) |
| 1905 | { |
| 1906 | return m_Graph->AddLayer<NormalizationLayer>(normalizationDescriptor, name); |
| 1907 | } |
| 1908 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1909 | IConnectableLayer* NetworkImpl::AddSliceLayer(const SliceDescriptor& sliceDescriptor, const char* name) |
Aron Virginas-Tar | 636ab40 | 2019-09-16 14:27:45 +0100 | [diff] [blame] | 1910 | { |
| 1911 | return m_Graph->AddLayer<SliceLayer>(sliceDescriptor, name); |
| 1912 | } |
| 1913 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1914 | IConnectableLayer* NetworkImpl::AddSoftmaxLayer(const SoftmaxDescriptor& softmaxDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1915 | const char* name) |
| 1916 | { |
| 1917 | return m_Graph->AddLayer<SoftmaxLayer>(softmaxDescriptor, name); |
| 1918 | } |
| 1919 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1920 | IConnectableLayer* NetworkImpl::AddSplitterLayer(const ViewsDescriptor& splitterDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1921 | const char* name) |
| 1922 | { |
| 1923 | return m_Graph->AddLayer<SplitterLayer>(splitterDescriptor, name); |
| 1924 | } |
| 1925 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1926 | IConnectableLayer* NetworkImpl::AddMaximumLayer(const char* name) |
Nattapat Chaimanowong | 5a4304a | 2018-11-28 10:44:37 +0000 | [diff] [blame] | 1927 | { |
| 1928 | return m_Graph->AddLayer<MaximumLayer>(name); |
| 1929 | } |
| 1930 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1931 | IConnectableLayer* NetworkImpl::AddMinimumLayer(const char* name) |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 1932 | { |
| 1933 | return m_Graph->AddLayer<MinimumLayer>(name); |
| 1934 | } |
| 1935 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1936 | IConnectableLayer* NetworkImpl::AddMergerLayer(const MergerDescriptor& mergerDescriptor, |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1937 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1938 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1939 | return AddConcatLayer(mergerDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1940 | } |
| 1941 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1942 | IConnectableLayer* NetworkImpl::AddAbsLayer(const char * name) |
Kevin May | 868eb14 | 2019-09-04 17:29:31 +0100 | [diff] [blame] | 1943 | { |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 1944 | return AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Abs), name); |
Kevin May | 868eb14 | 2019-09-04 17:29:31 +0100 | [diff] [blame] | 1945 | } |
| 1946 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1947 | IConnectableLayer* NetworkImpl::AddAdditionLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1948 | { |
| 1949 | return m_Graph->AddLayer<AdditionLayer>(name); |
| 1950 | } |
| 1951 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1952 | IConnectableLayer* NetworkImpl::AddMultiplicationLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1953 | { |
| 1954 | return m_Graph->AddLayer<MultiplicationLayer>(name); |
| 1955 | } |
| 1956 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1957 | IConnectableLayer* NetworkImpl::AddOutputLayer(LayerBindingId id, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1958 | { |
| 1959 | return m_Graph->AddLayer<OutputLayer>(id, name); |
| 1960 | } |
| 1961 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1962 | IConnectableLayer* NetworkImpl::AddBatchNormalizationLayer(const BatchNormalizationDescriptor& desc, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1963 | const ConstTensor& mean, |
| 1964 | const ConstTensor& variance, |
| 1965 | const ConstTensor& beta, |
| 1966 | const ConstTensor& gamma, |
| 1967 | const char* name) |
| 1968 | { |
| 1969 | const auto layer = m_Graph->AddLayer<BatchNormalizationLayer>(desc, name); |
| 1970 | |
| 1971 | layer->m_Mean = std::make_unique<ScopedCpuTensorHandle>(mean); |
| 1972 | layer->m_Variance = std::make_unique<ScopedCpuTensorHandle>(variance); |
| 1973 | layer->m_Beta = std::make_unique<ScopedCpuTensorHandle>(beta); |
| 1974 | layer->m_Gamma = std::make_unique<ScopedCpuTensorHandle>(gamma); |
| 1975 | |
| 1976 | return layer; |
| 1977 | } |
| 1978 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1979 | IConnectableLayer* NetworkImpl::AddRankLayer(const char* name) |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1980 | { |
| 1981 | return m_Graph->AddLayer<RankLayer>(name); |
| 1982 | } |
| 1983 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1984 | IConnectableLayer* NetworkImpl::AddReduceLayer(const ReduceDescriptor& reduceDescriptor, |
| 1985 | const char* name) |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1986 | { |
| 1987 | return m_Graph->AddLayer<ReduceLayer>(reduceDescriptor, name); |
| 1988 | } |
| 1989 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 1990 | IConnectableLayer* NetworkImpl::AddResizeBilinearLayer(const ResizeBilinearDescriptor& descriptor, |
| 1991 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1992 | { |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 1993 | ResizeDescriptor resizeDescriptor; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 1994 | resizeDescriptor.m_Method = ResizeMethod::Bilinear; |
| 1995 | resizeDescriptor.m_DataLayout = descriptor.m_DataLayout; |
| 1996 | resizeDescriptor.m_TargetWidth = descriptor.m_TargetWidth; |
| 1997 | resizeDescriptor.m_TargetHeight = descriptor.m_TargetHeight; |
| 1998 | resizeDescriptor.m_AlignCorners = descriptor.m_AlignCorners; |
| 1999 | resizeDescriptor.m_HalfPixelCenters = descriptor.m_HalfPixelCenters; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2000 | |
| 2001 | return m_Graph->AddLayer<ResizeLayer>(resizeDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2002 | } |
| 2003 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2004 | IConnectableLayer* NetworkImpl::AddResizeLayer(const ResizeDescriptor& resizeDescriptor, const char* name) |
Teresa Charlin | a9075df | 2019-06-27 15:41:57 +0100 | [diff] [blame] | 2005 | { |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2006 | return m_Graph->AddLayer<ResizeLayer>(resizeDescriptor, name); |
Teresa Charlin | a9075df | 2019-06-27 15:41:57 +0100 | [diff] [blame] | 2007 | } |
| 2008 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2009 | IConnectableLayer* NetworkImpl::AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc, |
| 2010 | const char* name) |
Kevin May | ce5045a | 2019-10-02 14:07:47 +0100 | [diff] [blame] | 2011 | { |
| 2012 | return m_Graph->AddLayer<InstanceNormalizationLayer>(desc, name); |
| 2013 | } |
| 2014 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2015 | IConnectableLayer* NetworkImpl::AddL2NormalizationLayer(const L2NormalizationDescriptor& desc, |
| 2016 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2017 | { |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 2018 | return m_Graph->AddLayer<L2NormalizationLayer>(desc, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2019 | } |
| 2020 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2021 | IConnectableLayer* NetworkImpl::AddLogSoftmaxLayer(const LogSoftmaxDescriptor& desc, |
Aron Virginas-Tar | f982dea | 2019-10-11 14:07:53 +0100 | [diff] [blame] | 2022 | const char* name) |
| 2023 | { |
| 2024 | return m_Graph->AddLayer<LogSoftmaxLayer>(desc, name); |
| 2025 | } |
| 2026 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2027 | IConnectableLayer* NetworkImpl::AddConstantLayer(const ConstTensor& input, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2028 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2029 | auto layer = m_Graph->AddLayer<ConstantLayer>(name); |
| 2030 | |
| 2031 | layer->m_LayerOutput = std::make_unique<ScopedCpuTensorHandle>(input); |
| 2032 | |
| 2033 | return layer; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2034 | } |
| 2035 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2036 | IConnectableLayer* NetworkImpl::AddReshapeLayer(const ReshapeDescriptor& reshapeDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2037 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2038 | { |
| 2039 | return m_Graph->AddLayer<ReshapeLayer>(reshapeDescriptor, name); |
| 2040 | } |
| 2041 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2042 | IConnectableLayer* NetworkImpl::AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
Nattapat Chaimanowong | 207ef9a | 2018-11-02 10:57:25 +0000 | [diff] [blame] | 2043 | const char* name) |
| 2044 | { |
| 2045 | return m_Graph->AddLayer<SpaceToBatchNdLayer>(spaceToBatchNdDescriptor, name); |
| 2046 | } |
| 2047 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2048 | IConnectableLayer* NetworkImpl::AddSpaceToDepthLayer(const SpaceToDepthDescriptor& spaceToDepthDescriptor, |
Aron Virginas-Tar | 972af15 | 2019-06-11 14:14:03 +0100 | [diff] [blame] | 2049 | const char* name) |
| 2050 | { |
| 2051 | return m_Graph->AddLayer<SpaceToDepthLayer>(spaceToDepthDescriptor, name); |
| 2052 | } |
| 2053 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2054 | IConnectableLayer* NetworkImpl::AddFloorLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2055 | { |
| 2056 | return m_Graph->AddLayer<FloorLayer>(name); |
| 2057 | } |
| 2058 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2059 | IConnectableLayer* NetworkImpl::AddLstmLayer(const LstmDescriptor& descriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2060 | const LstmInputParams& params, |
| 2061 | const char* name) |
| 2062 | { |
| 2063 | const auto layer = m_Graph->AddLayer<LstmLayer>(descriptor, name); |
| 2064 | |
| 2065 | //Lstm Basic Parameters |
| 2066 | layer->m_BasicParameters.m_InputToForgetWeights = |
| 2067 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToForgetWeights)); |
| 2068 | layer->m_BasicParameters.m_InputToCellWeights = |
| 2069 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToCellWeights)); |
| 2070 | layer->m_BasicParameters.m_InputToOutputWeights = |
| 2071 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToOutputWeights)); |
| 2072 | layer->m_BasicParameters.m_RecurrentToForgetWeights = |
| 2073 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToForgetWeights)); |
| 2074 | layer->m_BasicParameters.m_RecurrentToCellWeights = |
| 2075 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToCellWeights)); |
| 2076 | layer->m_BasicParameters.m_RecurrentToOutputWeights = |
| 2077 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToOutputWeights)); |
| 2078 | layer->m_BasicParameters.m_ForgetGateBias = |
| 2079 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_ForgetGateBias)); |
| 2080 | layer->m_BasicParameters.m_CellBias = |
| 2081 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellBias)); |
| 2082 | layer->m_BasicParameters.m_OutputGateBias = |
| 2083 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_OutputGateBias)); |
| 2084 | |
| 2085 | //Lstm Cifg parameters |
| 2086 | if(!descriptor.m_CifgEnabled) |
| 2087 | { |
| 2088 | if(params.m_InputToInputWeights == nullptr) |
| 2089 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2090 | throw InvalidArgumentException("AddLstmLayer: Input To Input Weights cannot be NULL " |
| 2091 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2092 | } |
| 2093 | if(params.m_RecurrentToInputWeights == nullptr) |
| 2094 | { |
| 2095 | throw InvalidArgumentException( |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2096 | "AddLstmLayer: Recurrent To Input Weights cannot be NULL " |
| 2097 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2098 | } |
| 2099 | if(params.m_InputGateBias == nullptr) |
| 2100 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2101 | throw InvalidArgumentException("AddLstmLayer: Input Gate Bias cannot be NULL " |
| 2102 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2103 | } |
| 2104 | layer->m_CifgParameters.m_InputToInputWeights = |
| 2105 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToInputWeights)); |
| 2106 | layer->m_CifgParameters.m_RecurrentToInputWeights = |
| 2107 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToInputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2108 | layer->m_CifgParameters.m_InputGateBias = |
| 2109 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputGateBias)); |
| 2110 | } |
| 2111 | |
| 2112 | //Lstm projection parameters |
| 2113 | if(descriptor.m_ProjectionEnabled) |
| 2114 | { |
| 2115 | if(params.m_ProjectionWeights == nullptr) |
| 2116 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2117 | throw InvalidArgumentException("AddLstmLayer: Projection Weights cannot be NULL " |
| 2118 | "when projection is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2119 | } |
| 2120 | layer->m_ProjectionParameters.m_ProjectionWeights = |
| 2121 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_ProjectionWeights)); |
| 2122 | if(params.m_ProjectionBias != nullptr) |
| 2123 | { |
| 2124 | layer->m_ProjectionParameters.m_ProjectionBias = |
| 2125 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_ProjectionBias)); |
| 2126 | } |
| 2127 | } |
| 2128 | |
| 2129 | //Lstm Peephole params |
| 2130 | if(descriptor.m_PeepholeEnabled) |
| 2131 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2132 | if(!descriptor.m_CifgEnabled) |
| 2133 | { |
| 2134 | if(params.m_CellToInputWeights == nullptr) |
| 2135 | { |
| 2136 | throw InvalidArgumentException("AddLstmLayer: Cell To Input Weights cannot be NULL " |
| 2137 | "when Peephole is enabled and CIFG disabled."); |
| 2138 | } |
| 2139 | |
| 2140 | layer->m_PeepholeParameters.m_CellToInputWeights = |
| 2141 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellToInputWeights)); |
| 2142 | } |
| 2143 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2144 | if(params.m_CellToForgetWeights == nullptr) |
| 2145 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2146 | throw InvalidArgumentException("AddLstmLayer: Cell To Forget Weights cannot be NULL " |
| 2147 | "when Peephole is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2148 | } |
| 2149 | if(params.m_CellToOutputWeights == nullptr) |
| 2150 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2151 | throw InvalidArgumentException("AddLstmLayer: Cell To Output Weights cannot be NULL " |
| 2152 | "when Peephole is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2153 | } |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2154 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2155 | layer->m_PeepholeParameters.m_CellToForgetWeights = |
| 2156 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellToForgetWeights)); |
| 2157 | layer->m_PeepholeParameters.m_CellToOutputWeights = |
| 2158 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellToOutputWeights)); |
| 2159 | } |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2160 | |
| 2161 | //Lstm Layer Normalization params |
| 2162 | if(descriptor.m_LayerNormEnabled) |
| 2163 | { |
| 2164 | if(!descriptor.m_CifgEnabled) |
| 2165 | { |
| 2166 | if(params.m_InputLayerNormWeights == nullptr) |
| 2167 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2168 | throw InvalidArgumentException("AddLstmLayer: Input layer normalization weights cannot be NULL " |
| 2169 | "when layer normalization is enabled and CIFG disabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2170 | } |
| 2171 | layer->m_LayerNormParameters.m_InputLayerNormWeights = |
| 2172 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputLayerNormWeights)); |
| 2173 | } |
| 2174 | |
| 2175 | if(params.m_ForgetLayerNormWeights == nullptr) |
| 2176 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2177 | throw InvalidArgumentException("AddLstmLayer: Forget layer normalization weights cannot be NULL " |
| 2178 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2179 | } |
| 2180 | if(params.m_CellLayerNormWeights == nullptr) |
| 2181 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2182 | throw InvalidArgumentException("AddLstmLayer: Cell layer normalization weights cannot be NULL " |
| 2183 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2184 | } |
| 2185 | if(params.m_OutputLayerNormWeights == nullptr) |
| 2186 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2187 | throw InvalidArgumentException("AddLstmLayer: Output layer normalization weights cannot be NULL " |
| 2188 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2189 | } |
| 2190 | layer->m_LayerNormParameters.m_ForgetLayerNormWeights = |
| 2191 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_ForgetLayerNormWeights)); |
| 2192 | layer->m_LayerNormParameters.m_CellLayerNormWeights = |
| 2193 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellLayerNormWeights)); |
| 2194 | layer->m_LayerNormParameters.m_OutputLayerNormWeights = |
| 2195 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_OutputLayerNormWeights)); |
| 2196 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2197 | return layer; |
| 2198 | } |
| 2199 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2200 | IConnectableLayer* NetworkImpl::AddDivisionLayer(const char* name) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2201 | { |
| 2202 | return m_Graph->AddLayer<DivisionLayer>(name); |
| 2203 | } |
| 2204 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2205 | IConnectableLayer* NetworkImpl::AddSubtractionLayer(const char* name) |
David Beck | 1952622 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2206 | { |
| 2207 | return m_Graph->AddLayer<SubtractionLayer>(name); |
| 2208 | } |
| 2209 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2210 | IConnectableLayer* NetworkImpl::AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name) |
narpra01 | 32b9046 | 2018-09-13 11:07:48 +0100 | [diff] [blame] | 2211 | { |
| 2212 | return m_Graph->AddLayer<MeanLayer>(meanDescriptor,name); |
| 2213 | } |
| 2214 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2215 | IConnectableLayer* NetworkImpl::AddPadLayer(const PadDescriptor& padDescriptor, const char* name) |
Mohamed Nour Abouelseoud | 5662c20 | 2018-09-24 13:30:09 +0100 | [diff] [blame] | 2216 | { |
| 2217 | return m_Graph->AddLayer<PadLayer>(padDescriptor,name); |
| 2218 | } |
| 2219 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2220 | IConnectableLayer *NetworkImpl::AddQuantizeLayer(const char *name) |
Derek Lamberti | a9cca6a | 2019-03-25 15:41:58 +0000 | [diff] [blame] | 2221 | { |
| 2222 | return m_Graph->AddLayer<QuantizeLayer>(name); |
| 2223 | } |
| 2224 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2225 | IConnectableLayer* NetworkImpl::AddDequantizeLayer(const char* name) |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 2226 | { |
| 2227 | return m_Graph->AddLayer<DequantizeLayer>(name); |
| 2228 | } |
| 2229 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2230 | IConnectableLayer* NetworkImpl::AddStridedSliceLayer(const StridedSliceDescriptor& stridedSliceDescriptor, |
Conor Kennedy | 430b5d8 | 2018-11-14 15:28:28 +0000 | [diff] [blame] | 2231 | const char* name) |
| 2232 | { |
| 2233 | return m_Graph->AddLayer<StridedSliceLayer>(stridedSliceDescriptor, name); |
| 2234 | } |
| 2235 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2236 | IConnectableLayer* NetworkImpl::AddGreaterLayer(const char* name) |
Matteo Martincigh | 59a950c | 2018-12-13 12:48:25 +0000 | [diff] [blame] | 2237 | { |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 2238 | return AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Greater), name); |
Matteo Martincigh | 59a950c | 2018-12-13 12:48:25 +0000 | [diff] [blame] | 2239 | } |
| 2240 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2241 | IConnectableLayer* NetworkImpl::AddEqualLayer(const char* name) |
FrancisMurtagh | 2099595 | 2018-12-17 12:11:36 +0000 | [diff] [blame] | 2242 | { |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 2243 | return AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Equal), name); |
FrancisMurtagh | 2099595 | 2018-12-17 12:11:36 +0000 | [diff] [blame] | 2244 | } |
| 2245 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2246 | IConnectableLayer* NetworkImpl::AddRsqrtLayer(const char * name) |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 2247 | { |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 2248 | return AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt), name); |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 2249 | } |
| 2250 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2251 | IConnectableLayer* NetworkImpl::AddGatherLayer(const char* name) |
narpra01 | b89b05f | 2019-01-16 09:53:09 +0000 | [diff] [blame] | 2252 | { |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 2253 | GatherDescriptor gatherDescriptor{}; |
| 2254 | return AddGatherLayer(gatherDescriptor, name); |
| 2255 | } |
| 2256 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2257 | IConnectableLayer* NetworkImpl::AddGatherLayer(const GatherDescriptor& gatherDescriptor, |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 2258 | const char* name) |
| 2259 | { |
| 2260 | return m_Graph->AddLayer<GatherLayer>(gatherDescriptor, name); |
narpra01 | b89b05f | 2019-01-16 09:53:09 +0000 | [diff] [blame] | 2261 | } |
| 2262 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2263 | IConnectableLayer* NetworkImpl::AddMergeLayer(const char* name) |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 2264 | { |
| 2265 | return m_Graph->AddLayer<MergeLayer>(name); |
| 2266 | } |
| 2267 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2268 | IConnectableLayer* NetworkImpl::AddSwitchLayer(const char* name) |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2269 | { |
| 2270 | return m_Graph->AddLayer<SwitchLayer>(name); |
| 2271 | } |
| 2272 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2273 | IConnectableLayer* NetworkImpl::AddPreluLayer(const char* name) |
Matteo Martincigh | 0e406ee | 2019-06-12 15:42:18 +0100 | [diff] [blame] | 2274 | { |
| 2275 | return m_Graph->AddLayer<PreluLayer>(name); |
| 2276 | } |
| 2277 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2278 | IConnectableLayer* NetworkImpl::AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& descriptor, |
Aron Virginas-Tar | 639fb04 | 2019-06-20 14:28:19 +0100 | [diff] [blame] | 2279 | const ConstTensor& weights, |
| 2280 | const Optional<ConstTensor>& biases, |
| 2281 | const char* name) |
| 2282 | { |
| 2283 | if (descriptor.m_BiasEnabled && !biases.has_value()) |
| 2284 | { |
| 2285 | throw InvalidArgumentException("AddTransposeConvolution2dLayer: Biases cannot be empty"); |
| 2286 | } |
| 2287 | |
| 2288 | const auto layer = m_Graph->AddLayer<TransposeConvolution2dLayer>(descriptor, name); |
| 2289 | |
| 2290 | layer->m_Weight = std::make_unique<ScopedCpuTensorHandle>(weights); |
| 2291 | |
| 2292 | if (descriptor.m_BiasEnabled) |
| 2293 | { |
| 2294 | layer->m_Bias = std::make_unique<ScopedCpuTensorHandle>(biases.value()); |
| 2295 | } |
| 2296 | |
| 2297 | return layer; |
| 2298 | } |
| 2299 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2300 | IConnectableLayer* NetworkImpl::AddTransposeLayer(const TransposeDescriptor& transposeDescriptor, |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2301 | const char* name) |
| 2302 | { |
| 2303 | return m_Graph->AddLayer<TransposeLayer>(transposeDescriptor, name); |
| 2304 | } |
| 2305 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2306 | IConnectableLayer* NetworkImpl::AddStackLayer(const StackDescriptor& stackDescriptor, |
Matthew Jackson | 2b8c1da | 2019-07-04 14:59:16 +0100 | [diff] [blame] | 2307 | const char* name) |
| 2308 | { |
| 2309 | return m_Graph->AddLayer<StackLayer>(stackDescriptor, name); |
| 2310 | } |
| 2311 | |
Derek Lamberti | 013c390 | 2019-10-21 10:46:16 +0100 | [diff] [blame] | 2312 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2313 | IConnectableLayer* NetworkImpl::AddStandInLayer(const StandInDescriptor& desc, |
Derek Lamberti | 013c390 | 2019-10-21 10:46:16 +0100 | [diff] [blame] | 2314 | const char* name) |
| 2315 | { |
| 2316 | return m_Graph->AddLayer<StandInLayer>(desc, name); |
| 2317 | } |
| 2318 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2319 | IConnectableLayer* NetworkImpl::AddQuantizedLstmLayer(const QuantizedLstmInputParams& params, |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2320 | const char* name) |
| 2321 | { |
| 2322 | const auto layer = m_Graph->AddLayer<QuantizedLstmLayer>(name); |
| 2323 | |
| 2324 | // InputToX weights |
| 2325 | layer->m_QuantizedLstmParameters.m_InputToInputWeights = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2326 | std::make_unique<ScopedCpuTensorHandle>(params.GetInputToInputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2327 | layer->m_QuantizedLstmParameters.m_InputToForgetWeights = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2328 | std::make_unique<ScopedCpuTensorHandle>(params.GetInputToForgetWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2329 | layer->m_QuantizedLstmParameters.m_InputToCellWeights = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2330 | std::make_unique<ScopedCpuTensorHandle>(params.GetInputToCellWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2331 | layer->m_QuantizedLstmParameters.m_InputToOutputWeights = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2332 | std::make_unique<ScopedCpuTensorHandle>(params.GetInputToOutputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2333 | |
| 2334 | // RecurrentToX weights |
| 2335 | layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2336 | std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToInputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2337 | layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2338 | std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToForgetWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2339 | layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2340 | std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToCellWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2341 | layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2342 | std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToOutputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2343 | |
| 2344 | // Bias |
| 2345 | layer->m_QuantizedLstmParameters.m_InputGateBias = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2346 | std::make_unique<ScopedCpuTensorHandle>(params.GetInputGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2347 | layer->m_QuantizedLstmParameters.m_ForgetGateBias = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2348 | std::make_unique<ScopedCpuTensorHandle>(params.GetForgetGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2349 | layer->m_QuantizedLstmParameters.m_CellBias = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2350 | std::make_unique<ScopedCpuTensorHandle>(params.GetCellBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2351 | layer->m_QuantizedLstmParameters.m_OutputGateBias = |
Francis Murtagh | bb590b4 | 2019-08-14 09:51:36 +0100 | [diff] [blame] | 2352 | std::make_unique<ScopedCpuTensorHandle>(params.GetOutputGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2353 | |
| 2354 | return layer; |
| 2355 | } |
| 2356 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2357 | IConnectableLayer* NetworkImpl::AddQLstmLayer(const QLstmDescriptor& descriptor, |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2358 | const LstmInputParams& params, |
| 2359 | const char* name) |
| 2360 | { |
| 2361 | const auto layer = m_Graph->AddLayer<QLstmLayer>(descriptor, name); |
| 2362 | |
| 2363 | // QLstm Basic Parameters |
| 2364 | layer->m_BasicParameters.m_InputToForgetWeights = |
| 2365 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToForgetWeights)); |
| 2366 | layer->m_BasicParameters.m_InputToCellWeights = |
| 2367 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToCellWeights)); |
| 2368 | layer->m_BasicParameters.m_InputToOutputWeights = |
| 2369 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToOutputWeights)); |
| 2370 | layer->m_BasicParameters.m_RecurrentToForgetWeights = |
| 2371 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToForgetWeights)); |
| 2372 | layer->m_BasicParameters.m_RecurrentToCellWeights = |
| 2373 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToCellWeights)); |
| 2374 | layer->m_BasicParameters.m_RecurrentToOutputWeights = |
| 2375 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToOutputWeights)); |
| 2376 | layer->m_BasicParameters.m_ForgetGateBias = |
| 2377 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_ForgetGateBias)); |
| 2378 | layer->m_BasicParameters.m_CellBias = |
| 2379 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellBias)); |
| 2380 | layer->m_BasicParameters.m_OutputGateBias = |
| 2381 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_OutputGateBias)); |
| 2382 | |
| 2383 | // QLstm Cifg parameters |
| 2384 | if(!descriptor.m_CifgEnabled) |
| 2385 | { |
| 2386 | if(params.m_InputToInputWeights == nullptr) |
| 2387 | { |
| 2388 | throw InvalidArgumentException("AddQLstmLayer: Input To Input Weights cannot be NULL"); |
| 2389 | } |
| 2390 | |
| 2391 | if(params.m_RecurrentToInputWeights == nullptr) |
| 2392 | { |
| 2393 | throw InvalidArgumentException( |
| 2394 | "AddQLstmLayer: Recurrent To Input Weights cannot be NULL"); |
| 2395 | } |
| 2396 | |
| 2397 | if(params.m_InputGateBias == nullptr) |
| 2398 | { |
| 2399 | throw InvalidArgumentException("AddQLstmLayer: Input Gate Bias cannot be NULL"); |
| 2400 | } |
| 2401 | |
| 2402 | layer->m_CifgParameters.m_InputToInputWeights = |
| 2403 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToInputWeights)); |
| 2404 | layer->m_CifgParameters.m_RecurrentToInputWeights = |
| 2405 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToInputWeights)); |
| 2406 | layer->m_CifgParameters.m_InputGateBias = |
| 2407 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputGateBias)); |
| 2408 | } |
| 2409 | |
| 2410 | // QLstm Projection parameters |
| 2411 | if(descriptor.m_ProjectionEnabled) |
| 2412 | { |
| 2413 | if(params.m_ProjectionWeights == nullptr) |
| 2414 | { |
| 2415 | throw InvalidArgumentException("AddQLstmLayer: Projection Weights cannot be NULL"); |
| 2416 | } |
| 2417 | |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2418 | layer->m_ProjectionParameters.m_ProjectionWeights = |
| 2419 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_ProjectionWeights)); |
James Conroy | ed32405 | 2020-05-18 15:16:42 +0100 | [diff] [blame] | 2420 | |
| 2421 | // Projection bias is optional even if projection is enabled |
| 2422 | if(params.m_ProjectionWeights != nullptr) |
| 2423 | { |
| 2424 | layer->m_ProjectionParameters.m_ProjectionBias = |
| 2425 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_ProjectionBias)); |
| 2426 | } |
| 2427 | |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2428 | } |
| 2429 | |
| 2430 | // QLstm Peephole params |
| 2431 | if(descriptor.m_PeepholeEnabled) |
| 2432 | { |
| 2433 | if(params.m_CellToForgetWeights == nullptr) |
| 2434 | { |
| 2435 | throw InvalidArgumentException("AddQLstmLayer: Cell To Forget Weights cannot be NULL"); |
| 2436 | } |
| 2437 | |
| 2438 | if(params.m_CellToOutputWeights == nullptr) |
| 2439 | { |
| 2440 | throw InvalidArgumentException("AddQLstmLayer: Cell To Output Weights cannot be NULL"); |
| 2441 | } |
| 2442 | |
| 2443 | if(!descriptor.m_CifgEnabled) |
| 2444 | { |
| 2445 | if(params.m_CellToInputWeights == nullptr) |
| 2446 | { |
| 2447 | throw InvalidArgumentException("AddQLstmLayer: Cell To Input Weights cannot be NULL"); |
| 2448 | } |
| 2449 | |
| 2450 | layer->m_PeepholeParameters.m_CellToInputWeights = |
| 2451 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellToInputWeights)); |
| 2452 | } |
| 2453 | |
| 2454 | layer->m_PeepholeParameters.m_CellToForgetWeights = |
| 2455 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellToForgetWeights)); |
| 2456 | layer->m_PeepholeParameters.m_CellToOutputWeights = |
| 2457 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellToOutputWeights)); |
| 2458 | } |
| 2459 | |
| 2460 | // QLstm Layer Normalization params |
| 2461 | if(descriptor.m_LayerNormEnabled) |
| 2462 | { |
| 2463 | if(params.m_ForgetLayerNormWeights == nullptr) |
| 2464 | { |
| 2465 | throw InvalidArgumentException("AddQLstmLayer: Forget layer normalization weights cannot be NULL"); |
| 2466 | } |
| 2467 | |
| 2468 | if(params.m_CellLayerNormWeights == nullptr) |
| 2469 | { |
| 2470 | throw InvalidArgumentException("AddQLstmLayer: Cell layer normalization weights cannot be NULL"); |
| 2471 | } |
| 2472 | |
| 2473 | if(params.m_OutputLayerNormWeights == nullptr) |
| 2474 | { |
| 2475 | throw InvalidArgumentException("AddQLstmLayer: Output layer normalization weights cannot be NULL"); |
| 2476 | } |
| 2477 | |
| 2478 | if(!descriptor.m_CifgEnabled) |
| 2479 | { |
| 2480 | if(params.m_InputLayerNormWeights == nullptr) |
| 2481 | { |
| 2482 | throw InvalidArgumentException("AddQLstmLayer: Input layer normalization weights cannot be NULL"); |
| 2483 | } |
| 2484 | |
| 2485 | layer->m_LayerNormParameters.m_InputLayerNormWeights = |
| 2486 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputLayerNormWeights)); |
| 2487 | } |
| 2488 | |
| 2489 | layer->m_LayerNormParameters.m_ForgetLayerNormWeights = |
| 2490 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_ForgetLayerNormWeights)); |
| 2491 | layer->m_LayerNormParameters.m_CellLayerNormWeights = |
| 2492 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellLayerNormWeights)); |
| 2493 | layer->m_LayerNormParameters.m_OutputLayerNormWeights = |
| 2494 | std::make_unique<ScopedCpuTensorHandle>(*(params.m_OutputLayerNormWeights)); |
| 2495 | } |
| 2496 | return layer; |
| 2497 | } |
| 2498 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2499 | IConnectableLayer* NetworkImpl::AddLogicalBinaryLayer(const LogicalBinaryDescriptor& logicalBinaryDescriptor, |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 2500 | const char* name) |
| 2501 | { |
| 2502 | return m_Graph->AddLayer<LogicalBinaryLayer>(logicalBinaryDescriptor, name); |
| 2503 | } |
| 2504 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2505 | void NetworkImpl::Accept(ILayerVisitor& visitor) const |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 2506 | { |
| 2507 | for (auto layer : GetGraph()) |
| 2508 | { |
| 2509 | layer->Accept(visitor); |
| 2510 | }; |
| 2511 | } |
| 2512 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2513 | void NetworkImpl::ExecuteStrategy(IStrategy& strategy) const |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2514 | { |
| 2515 | for (auto layer : GetGraph()) |
| 2516 | { |
| 2517 | layer->ExecuteStrategy(strategy); |
| 2518 | }; |
| 2519 | } |
| 2520 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2521 | OptimizedNetworkImpl::OptimizedNetworkImpl(std::unique_ptr<Graph> graph) |
Sadik Armagan | 3184c90 | 2020-03-18 10:57:30 +0000 | [diff] [blame] | 2522 | : m_Graph(std::move(graph)), m_Guid(profiling::ProfilingService::GetNextGuid()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2523 | { |
| 2524 | } |
| 2525 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2526 | OptimizedNetworkImpl::OptimizedNetworkImpl(std::unique_ptr<Graph> graph, const ModelOptions& modelOptions) |
Sadik Armagan | 045f6be | 2020-09-10 13:37:32 +0100 | [diff] [blame] | 2527 | : m_Graph(std::move(graph)), m_Guid(profiling::ProfilingService::GetNextGuid()), m_ModelOptions(modelOptions) |
| 2528 | { |
| 2529 | } |
| 2530 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame^] | 2531 | OptimizedNetworkImpl::~OptimizedNetworkImpl() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2532 | { |
| 2533 | } |
| 2534 | |
| 2535 | } // namespace armnn |