Laurent Carlier | 749294b | 2020-06-01 09:03:17 +0100 | [diff] [blame] | 1 | // |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 5 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6 | #include "Network.hpp" |
| 7 | #include "Graph.hpp" |
| 8 | #include "Layer.hpp" |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 9 | #include "DeviceSpec.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 10 | #include "Optimizer.hpp" |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 11 | #include "SubgraphViewSelector.hpp" |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 12 | #include "BackendSettings.hpp" |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame] | 13 | #include "optimizations/All.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 14 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 15 | #include <backendsCommon/TensorHandle.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 16 | #include <backendsCommon/WorkloadFactory.hpp> |
Matteo Martincigh | e5b8eb9 | 2019-11-28 15:45:42 +0000 | [diff] [blame] | 17 | #include <armnn/backends/IBackendInternal.hpp> |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 18 | #include <backendsCommon/TensorHandleFactoryRegistry.hpp> |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame] | 19 | |
| 20 | #include <armnn/Exceptions.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 21 | #include <armnn/Utils.hpp> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 22 | #include <armnn/TypesUtils.hpp> |
Matteo Martincigh | c601aa6 | 2019-10-29 15:03:22 +0000 | [diff] [blame] | 23 | #include <armnn/BackendRegistry.hpp> |
Matthew Bentham | f48afc6 | 2020-01-15 17:55:08 +0000 | [diff] [blame] | 24 | #include <armnn/Logging.hpp> |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 25 | #include <armnn/utility/Assert.hpp> |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 26 | #include <armnn/utility/IgnoreUnused.hpp> |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 27 | #include <armnn/utility/PolymorphicDowncast.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 28 | |
Jan Eilers | 99d9d4a | 2019-11-06 10:02:16 +0000 | [diff] [blame] | 29 | #include <ProfilingService.hpp> |
| 30 | |
Nikhil Raj | 77fe76b | 2021-06-09 14:55:32 +0100 | [diff] [blame] | 31 | #include <common/include/ProfilingGuid.hpp> |
| 32 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 33 | #include <fmt/format.h> |
| 34 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 35 | #include <fcntl.h> |
| 36 | #include <algorithm> |
| 37 | #include <fstream> |
| 38 | #include <memory> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 39 | #include <vector> |
| 40 | #include <algorithm> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 41 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 42 | namespace armnn |
| 43 | { |
| 44 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 45 | INetwork::INetwork(NetworkOptions networkOptions) : pNetworkImpl(new NetworkImpl(networkOptions)) {} |
| 46 | |
| 47 | INetwork::~INetwork() = default; |
| 48 | |
| 49 | Status INetwork::PrintGraph() |
| 50 | { |
| 51 | return pNetworkImpl->PrintGraph(); |
| 52 | } |
| 53 | |
| 54 | IConnectableLayer* INetwork::AddInputLayer(LayerBindingId id, const char* name) |
| 55 | { |
| 56 | return pNetworkImpl->AddInputLayer(id, name); |
| 57 | } |
| 58 | |
| 59 | |
| 60 | IConnectableLayer* INetwork::AddArgMinMaxLayer(const ArgMinMaxDescriptor& desc, |
| 61 | const char* name) |
| 62 | { |
| 63 | return pNetworkImpl->AddArgMinMaxLayer(desc, name); |
| 64 | } |
| 65 | |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 66 | IConnectableLayer* INetwork::AddCastLayer(const char* name) |
| 67 | { |
| 68 | return pNetworkImpl->AddCastLayer(name); |
| 69 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 70 | |
| 71 | IConnectableLayer* INetwork::AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor, |
| 72 | const char* name) |
| 73 | { |
| 74 | return pNetworkImpl->AddComparisonLayer(comparisonDescriptor, name); |
| 75 | } |
| 76 | |
| 77 | |
| 78 | IConnectableLayer* INetwork::AddConcatLayer(const ConcatDescriptor& concatDescriptor, |
| 79 | const char* name) |
| 80 | { |
| 81 | return pNetworkImpl->AddConcatLayer(concatDescriptor, name); |
| 82 | } |
| 83 | |
| 84 | |
| 85 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 86 | const ConstTensor& weights, |
| 87 | const Optional<ConstTensor>& biases, |
| 88 | const char* name) |
| 89 | { |
| 90 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 91 | } |
| 92 | |
| 93 | |
| 94 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 95 | const ConstTensor& weights, |
| 96 | const char* name) |
| 97 | { |
| 98 | Optional<ConstTensor> biases; |
| 99 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 100 | } |
| 101 | |
| 102 | |
| 103 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 104 | const ConstTensor& weights, |
| 105 | const ConstTensor& biases, |
| 106 | const char* name ) |
| 107 | { |
| 108 | |
| 109 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, |
| 110 | weights, |
| 111 | armnn::Optional<ConstTensor>(biases), |
| 112 | name); |
| 113 | } |
| 114 | |
| 115 | |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 116 | IConnectableLayer* INetwork::AddConvolution3dLayer(const Convolution3dDescriptor& convolution3dDescriptor, |
| 117 | const ConstTensor& weights, |
| 118 | const Optional<ConstTensor>& biases, |
| 119 | const char* name) |
| 120 | { |
| 121 | return pNetworkImpl->AddConvolution3dLayer(convolution3dDescriptor, weights, biases, name); |
| 122 | } |
| 123 | |
| 124 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 125 | IConnectableLayer* INetwork::AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor, |
| 126 | const char* name) |
| 127 | { |
| 128 | return pNetworkImpl->AddDepthToSpaceLayer(depthToSpaceDescriptor, name); |
| 129 | } |
| 130 | |
| 131 | |
| 132 | IConnectableLayer* INetwork::AddDepthwiseConvolution2dLayer( |
| 133 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 134 | const ConstTensor& weights, |
| 135 | const Optional<ConstTensor>& biases, |
| 136 | const char* name) |
| 137 | { |
| 138 | return pNetworkImpl->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 139 | } |
| 140 | |
| 141 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 142 | IConnectableLayer* INetwork::AddDequantizeLayer(const char* name) |
| 143 | { |
| 144 | return pNetworkImpl->AddDequantizeLayer(name); |
| 145 | } |
| 146 | |
| 147 | |
| 148 | IConnectableLayer* INetwork::AddDetectionPostProcessLayer( |
| 149 | const DetectionPostProcessDescriptor& descriptor, |
| 150 | const ConstTensor& anchors, |
| 151 | const char* name) |
| 152 | { |
| 153 | return pNetworkImpl->AddDetectionPostProcessLayer(descriptor, anchors, name); |
| 154 | } |
| 155 | |
| 156 | |
| 157 | IConnectableLayer* INetwork::AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& elementwiseUnaryDescriptor, |
| 158 | const char* name) |
| 159 | { |
| 160 | return pNetworkImpl->AddElementwiseUnaryLayer(elementwiseUnaryDescriptor, name); |
| 161 | } |
| 162 | |
| 163 | |
| 164 | IConnectableLayer* INetwork::AddFillLayer(const FillDescriptor& fillDescriptor, |
| 165 | const char* name) |
| 166 | { |
| 167 | return pNetworkImpl->AddFillLayer(fillDescriptor, name); |
| 168 | } |
| 169 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 170 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 171 | const char* name) |
| 172 | { |
| 173 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, name); |
| 174 | } |
| 175 | |
| 176 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 177 | const ConstTensor& weights, |
| 178 | const Optional<ConstTensor>& biases, |
| 179 | const char* name) |
| 180 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 181 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, |
| 182 | armnn::Optional<ConstTensor>(weights), |
| 183 | biases, |
| 184 | name); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 185 | } |
| 186 | |
| 187 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 188 | const Optional<ConstTensor>& weights, |
| 189 | const Optional<ConstTensor>& biases, |
| 190 | const char* name) |
| 191 | { |
| 192 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, weights, biases, name); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 193 | } |
| 194 | |
| 195 | IConnectableLayer* INetwork::AddPermuteLayer(const PermuteDescriptor& permuteDescriptor, |
| 196 | const char* name) |
| 197 | { |
| 198 | return pNetworkImpl->AddPermuteLayer(permuteDescriptor, name); |
| 199 | } |
| 200 | |
| 201 | IConnectableLayer* INetwork::AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor& batchToSpaceNdDescriptor, |
| 202 | const char* name) |
| 203 | { |
| 204 | return pNetworkImpl->AddBatchToSpaceNdLayer(batchToSpaceNdDescriptor, name); |
| 205 | } |
| 206 | |
| 207 | IConnectableLayer* INetwork::AddPooling2dLayer(const Pooling2dDescriptor& pooling2dDescriptor, |
| 208 | const char* name) |
| 209 | { |
| 210 | return pNetworkImpl->AddPooling2dLayer(pooling2dDescriptor, name); |
| 211 | } |
| 212 | |
| 213 | IConnectableLayer* INetwork::AddActivationLayer(const ActivationDescriptor& activationDescriptor, |
| 214 | const char* name) |
| 215 | { |
| 216 | return pNetworkImpl->AddActivationLayer(activationDescriptor, name); |
| 217 | } |
| 218 | |
| 219 | IConnectableLayer* INetwork::AddNormalizationLayer(const NormalizationDescriptor& normalizationDescriptor, |
| 220 | const char* name) |
| 221 | { |
| 222 | return pNetworkImpl->AddNormalizationLayer(normalizationDescriptor, name); |
| 223 | } |
| 224 | |
| 225 | IConnectableLayer* INetwork::AddSliceLayer(const SliceDescriptor& sliceDescriptor, const char* name) |
| 226 | { |
| 227 | return pNetworkImpl->AddSliceLayer(sliceDescriptor, name); |
| 228 | } |
| 229 | IConnectableLayer* INetwork::AddSoftmaxLayer(const SoftmaxDescriptor& softmaxDescriptor, |
| 230 | const char* name) |
| 231 | { |
| 232 | return pNetworkImpl->AddSoftmaxLayer(softmaxDescriptor, name); |
| 233 | } |
| 234 | |
| 235 | IConnectableLayer* INetwork::AddSplitterLayer(const ViewsDescriptor& splitterDescriptor, |
| 236 | const char* name) |
| 237 | { |
| 238 | return pNetworkImpl->AddSplitterLayer(splitterDescriptor, name); |
| 239 | } |
| 240 | |
| 241 | IConnectableLayer* INetwork::AddMergeLayer(const char* name) |
| 242 | { |
| 243 | return pNetworkImpl->AddMergeLayer(name); |
| 244 | } |
| 245 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 246 | IConnectableLayer* INetwork::AddAdditionLayer(const char* name) |
| 247 | { |
| 248 | return pNetworkImpl->AddAdditionLayer(name); |
| 249 | } |
| 250 | |
| 251 | IConnectableLayer* INetwork::AddMultiplicationLayer(const char* name) |
| 252 | { |
| 253 | return pNetworkImpl->AddMultiplicationLayer(name); |
| 254 | } |
| 255 | |
| 256 | IConnectableLayer* INetwork::AddBatchNormalizationLayer(const BatchNormalizationDescriptor& desc, |
| 257 | const ConstTensor& mean, |
| 258 | const ConstTensor& variance, |
| 259 | const ConstTensor& beta, |
| 260 | const ConstTensor& gamma, |
| 261 | const char* name) |
| 262 | { |
| 263 | return pNetworkImpl->AddBatchNormalizationLayer(desc, mean, variance, beta, gamma, name); |
| 264 | } |
| 265 | |
| 266 | IConnectableLayer* INetwork::AddRankLayer(const char* name) |
| 267 | { |
| 268 | return pNetworkImpl->AddRankLayer(name); |
| 269 | } |
| 270 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 271 | IConnectableLayer* INetwork::AddResizeLayer(const ResizeDescriptor& resizeDescriptor, |
| 272 | const char* name) |
| 273 | { |
| 274 | return pNetworkImpl->AddResizeLayer(resizeDescriptor, name); |
| 275 | } |
| 276 | |
| 277 | IConnectableLayer* INetwork::AddReduceLayer(const ReduceDescriptor& reduceDescriptor, |
| 278 | const char* name) |
| 279 | { |
| 280 | return pNetworkImpl->AddReduceLayer(reduceDescriptor, name); |
| 281 | } |
| 282 | |
| 283 | IConnectableLayer* INetwork::AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc, |
| 284 | const char* name) |
| 285 | { |
| 286 | return pNetworkImpl->AddInstanceNormalizationLayer(desc, name); |
| 287 | } |
| 288 | |
| 289 | IConnectableLayer* INetwork::AddL2NormalizationLayer(const L2NormalizationDescriptor& desc, |
| 290 | const char* name) |
| 291 | { |
| 292 | return pNetworkImpl->AddL2NormalizationLayer(desc, name); |
| 293 | } |
| 294 | |
| 295 | IConnectableLayer* INetwork::AddLogSoftmaxLayer(const LogSoftmaxDescriptor& logSoftmaxDescriptor, |
| 296 | const char* name) |
| 297 | { |
| 298 | return pNetworkImpl->AddLogSoftmaxLayer(logSoftmaxDescriptor, name); |
| 299 | } |
| 300 | |
| 301 | IConnectableLayer* INetwork::AddConstantLayer(const ConstTensor& input, |
| 302 | const char* name) |
| 303 | { |
| 304 | return pNetworkImpl->AddConstantLayer(input, name); |
| 305 | } |
| 306 | |
| 307 | IConnectableLayer* INetwork::AddReshapeLayer(const ReshapeDescriptor& reshapeDescriptor, |
| 308 | const char* name) |
| 309 | { |
| 310 | return pNetworkImpl->AddReshapeLayer(reshapeDescriptor, name); |
| 311 | } |
| 312 | |
| 313 | IConnectableLayer* INetwork::AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
| 314 | const char* name) |
| 315 | { |
| 316 | return pNetworkImpl->AddSpaceToBatchNdLayer(spaceToBatchNdDescriptor, name); |
| 317 | } |
| 318 | |
| 319 | IConnectableLayer* INetwork::AddSpaceToDepthLayer(const SpaceToDepthDescriptor& spaceToDepthDescriptor, |
| 320 | const char* name) |
| 321 | { |
| 322 | return pNetworkImpl->AddSpaceToDepthLayer(spaceToDepthDescriptor, name); |
| 323 | } |
| 324 | |
| 325 | IConnectableLayer* INetwork::AddFloorLayer(const char* name) |
| 326 | { |
| 327 | return pNetworkImpl->AddFloorLayer(name); |
| 328 | } |
| 329 | IConnectableLayer* INetwork::AddOutputLayer(LayerBindingId id, const char* name) |
| 330 | { |
| 331 | return pNetworkImpl->AddOutputLayer(id, name); |
| 332 | } |
| 333 | |
| 334 | IConnectableLayer* INetwork::AddLstmLayer(const LstmDescriptor& descriptor, |
| 335 | const LstmInputParams& params, |
| 336 | const char* name) |
| 337 | { |
| 338 | return pNetworkImpl->AddLstmLayer(descriptor, params, name); |
| 339 | } |
| 340 | |
| 341 | IConnectableLayer* INetwork::AddDivisionLayer(const char* name) |
| 342 | { |
| 343 | return pNetworkImpl->AddDivisionLayer(name); |
| 344 | } |
| 345 | |
| 346 | IConnectableLayer* INetwork::AddSubtractionLayer(const char* name) |
| 347 | { |
| 348 | return pNetworkImpl->AddSubtractionLayer(name); |
| 349 | } |
| 350 | |
| 351 | IConnectableLayer* INetwork::AddMaximumLayer(const char* name) |
| 352 | { |
| 353 | return pNetworkImpl->AddMaximumLayer(name); |
| 354 | } |
| 355 | |
| 356 | IConnectableLayer* INetwork::AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name) |
| 357 | { |
| 358 | return pNetworkImpl->AddMeanLayer(meanDescriptor, name); |
| 359 | } |
| 360 | |
| 361 | IConnectableLayer* INetwork::AddPadLayer(const PadDescriptor& padDescriptor, |
| 362 | const char* name) |
| 363 | { |
| 364 | return pNetworkImpl->AddPadLayer(padDescriptor, name); |
| 365 | } |
| 366 | |
| 367 | IConnectableLayer* INetwork::AddQuantizeLayer(const char* name) |
| 368 | { |
| 369 | return pNetworkImpl->AddQuantizeLayer(name); |
| 370 | } |
| 371 | |
| 372 | IConnectableLayer* INetwork::AddStridedSliceLayer(const StridedSliceDescriptor& stridedSliceDescriptor, |
| 373 | const char* name) |
| 374 | { |
| 375 | return pNetworkImpl->AddStridedSliceLayer(stridedSliceDescriptor, name); |
| 376 | } |
| 377 | |
| 378 | IConnectableLayer* INetwork::AddMinimumLayer(const char* name) |
| 379 | { |
| 380 | return pNetworkImpl->AddMinimumLayer(name); |
| 381 | } |
| 382 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 383 | IConnectableLayer* INetwork::AddGatherLayer(const GatherDescriptor& descriptor, |
| 384 | const char* name) |
| 385 | { |
| 386 | return pNetworkImpl->AddGatherLayer(descriptor, name); |
| 387 | } |
| 388 | |
| 389 | IConnectableLayer* INetwork::AddSwitchLayer(const char* name) |
| 390 | { |
| 391 | return pNetworkImpl->AddSwitchLayer(name); |
| 392 | } |
| 393 | |
| 394 | IConnectableLayer* INetwork::AddPreluLayer(const char* name) |
| 395 | { |
| 396 | return pNetworkImpl->AddPreluLayer(name); |
| 397 | } |
| 398 | |
| 399 | IConnectableLayer* INetwork::AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& descriptor, |
| 400 | const ConstTensor& weights, |
| 401 | const Optional<ConstTensor>& biases, |
| 402 | const char* name) |
| 403 | { |
| 404 | return pNetworkImpl->AddTransposeConvolution2dLayer(descriptor, weights, biases, name); |
| 405 | } |
| 406 | |
| 407 | IConnectableLayer* INetwork::AddTransposeLayer(const TransposeDescriptor& transposeDescriptor, |
| 408 | const char* name) |
| 409 | { |
| 410 | return pNetworkImpl->AddTransposeLayer(transposeDescriptor, name); |
| 411 | } |
| 412 | |
Keith Davis | 3ae3f97 | 2021-05-21 16:33:48 +0100 | [diff] [blame] | 413 | IConnectableLayer* INetwork::AddShapeLayer(const char* name) |
| 414 | { |
| 415 | return pNetworkImpl->AddShapeLayer(name); |
| 416 | } |
| 417 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 418 | IConnectableLayer* INetwork::AddStackLayer(const StackDescriptor& descriptor, |
| 419 | const char* name) |
| 420 | { |
| 421 | return pNetworkImpl->AddStackLayer(descriptor, name); |
| 422 | } |
| 423 | |
| 424 | IConnectableLayer* INetwork::AddStandInLayer(const StandInDescriptor& descriptor, |
| 425 | const char* name) |
| 426 | { |
| 427 | return pNetworkImpl->AddStandInLayer(descriptor, name); |
| 428 | } |
| 429 | |
| 430 | IConnectableLayer* INetwork::AddQuantizedLstmLayer(const QuantizedLstmInputParams& params, |
| 431 | const char* name) |
| 432 | { |
| 433 | return pNetworkImpl->AddQuantizedLstmLayer(params, name); |
| 434 | } |
| 435 | |
| 436 | IConnectableLayer* INetwork::AddQLstmLayer(const QLstmDescriptor& descriptor, |
| 437 | const LstmInputParams& params, |
| 438 | const char* name) |
| 439 | { |
| 440 | return pNetworkImpl->AddQLstmLayer(descriptor, params, name); |
| 441 | } |
| 442 | |
| 443 | IConnectableLayer* INetwork::AddLogicalBinaryLayer(const LogicalBinaryDescriptor& descriptor, |
| 444 | const char* name) |
| 445 | { |
| 446 | return pNetworkImpl->AddLogicalBinaryLayer(descriptor, name); |
| 447 | } |
| 448 | |
Narumol Prangnawarat | 8ed39ae | 2021-07-15 16:16:25 +0100 | [diff] [blame] | 449 | IConnectableLayer* INetwork::AddUnidirectionalSequenceLstmLayer( |
| 450 | const UnidirectionalSequenceLstmDescriptor& descriptor, |
| 451 | const LstmInputParams& params, |
| 452 | const char* name) |
| 453 | { |
| 454 | return pNetworkImpl->AddUnidirectionalSequenceLstmLayer(descriptor, params, name); |
| 455 | } |
| 456 | |
Simon Obute | 51f6777 | 2021-09-03 15:50:13 +0100 | [diff] [blame] | 457 | IConnectableLayer* INetwork::AddChannelShuffleLayer(const ChannelShuffleDescriptor &descriptor, |
| 458 | const char* name) |
| 459 | { |
| 460 | return pNetworkImpl->AddChannelShuffleLayer(descriptor, name); |
| 461 | } |
| 462 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 463 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 464 | void INetwork::Accept(ILayerVisitor& visitor) const |
| 465 | { |
| 466 | return pNetworkImpl->Accept(visitor); |
| 467 | } |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 468 | ARMNN_NO_DEPRECATE_WARN_END |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 469 | |
| 470 | void INetwork::ExecuteStrategy(IStrategy& strategy) const |
| 471 | { |
| 472 | return pNetworkImpl->ExecuteStrategy(strategy); |
| 473 | } |
| 474 | |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 475 | armnn::INetwork* INetwork::CreateRaw(NetworkOptions networkOptions) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 476 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 477 | return new INetwork(networkOptions); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 478 | } |
| 479 | |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 480 | armnn::INetworkPtr INetwork::Create(NetworkOptions networkOptions) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 481 | { |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 482 | return INetworkPtr(CreateRaw(networkOptions), &INetwork::Destroy); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 483 | } |
| 484 | |
| 485 | void INetwork::Destroy(INetwork* network) |
| 486 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 487 | delete network; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 488 | } |
| 489 | |
Mike Kelly | 0d677db | 2021-06-27 22:39:21 +0100 | [diff] [blame] | 490 | IOptimizedNetwork::IOptimizedNetwork(const IOptimizedNetwork& other, const ModelOptions& modelOptions) |
| 491 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(*other.pOptimizedNetworkImpl.get(), modelOptions)) {} |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 492 | |
| 493 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<Graph> graph) |
| 494 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(std::move(graph))) {} |
| 495 | |
| 496 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<OptimizedNetworkImpl> impl) |
| 497 | : pOptimizedNetworkImpl(std::move(impl)) {} |
| 498 | |
| 499 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<Graph> graph, const ModelOptions& modelOptions) |
| 500 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(std::move(graph), modelOptions)) {} |
| 501 | |
| 502 | IOptimizedNetwork::~IOptimizedNetwork() = default; |
| 503 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 504 | void IOptimizedNetwork::Destroy(IOptimizedNetwork* network) |
| 505 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 506 | delete network; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 507 | } |
| 508 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 509 | Status IOptimizedNetwork::PrintGraph() |
| 510 | { |
| 511 | return pOptimizedNetworkImpl->PrintGraph(); |
| 512 | } |
| 513 | |
| 514 | Status IOptimizedNetwork::SerializeToDot(std::ostream& stream) const |
| 515 | { |
| 516 | return pOptimizedNetworkImpl->SerializeToDot(stream); |
| 517 | } |
| 518 | |
| 519 | profiling::ProfilingGuid IOptimizedNetwork::GetGuid() const |
| 520 | { |
| 521 | return pOptimizedNetworkImpl->GetGuid(); |
| 522 | } |
| 523 | |
| 524 | Status OptimizedNetworkImpl::PrintGraph() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 525 | { |
| 526 | m_Graph->Print(); |
| 527 | return Status::Success; |
| 528 | } |
| 529 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 530 | Status OptimizedNetworkImpl::SerializeToDot(std::ostream& stream) const |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 531 | { |
| 532 | return m_Graph->SerializeToDot(stream); |
| 533 | } |
| 534 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 535 | void ReportError(const std::string& errorMessage, |
| 536 | Optional<std::vector<std::string>&> errorMessages) |
| 537 | { |
| 538 | std::stringstream fullErrorMessage; |
| 539 | fullErrorMessage << "ERROR: " << errorMessage; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 540 | ARMNN_LOG(warning) << fullErrorMessage.str(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 541 | if (errorMessages) |
| 542 | { |
| 543 | errorMessages.value().push_back(fullErrorMessage.str()); |
| 544 | } |
| 545 | } |
| 546 | |
| 547 | void ReportWarning(const std::string& warningMessage, |
| 548 | Optional<std::vector<std::string>&> warningMessages) |
| 549 | { |
| 550 | std::stringstream fullWarningMessage; |
| 551 | fullWarningMessage << "WARNING: " << warningMessage; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 552 | ARMNN_LOG(warning) << fullWarningMessage.str(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 553 | if (warningMessages) |
| 554 | { |
| 555 | warningMessages.value().push_back(fullWarningMessage.str()); |
| 556 | } |
| 557 | } |
| 558 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 559 | OptimizationResult ReturnWithError(OptimizationResult res, |
| 560 | const Layer* layer, |
| 561 | const BackendSettings& backendSettings, |
| 562 | Optional<std::vector<std::string>&> errMessages) |
| 563 | { |
| 564 | std::stringstream failureMsg; |
| 565 | failureMsg << "Layer of type " << GetLayerTypeAsCString(layer->GetType()) |
| 566 | << " is not supported on any preferred backend " << backendSettings.m_PreferredBackends; |
| 567 | ReportError(failureMsg.str(), errMessages); |
| 568 | |
| 569 | res.m_Error = true; |
| 570 | return res; |
| 571 | } |
| 572 | |
| 573 | |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 574 | bool CheckScaleSetOnQuantizedType(Layer* layer, Optional<std::vector<std::string>&> errMessages) |
| 575 | { |
| 576 | bool noErrors = true; |
| 577 | unsigned int numOutputs = layer->GetNumOutputSlots(); |
| 578 | for (unsigned int i = 0; i < numOutputs; i++) { |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 579 | OutputSlot& outputSlot = layer->GetOutputSlot(i); |
| 580 | TensorInfo info = outputSlot.GetTensorInfo(); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 581 | if (DataType::QAsymmU8 == info.GetDataType()) { |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 582 | if (0.f == info.GetQuantizationScale()) { |
| 583 | noErrors = false; |
| 584 | std::stringstream ss; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 585 | ss << "output " << i << " of layer " << GetLayerTypeAsCString(layer->GetType()) |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 586 | << " (" << layer->GetNameStr() << ") is of type" |
| 587 | << " Quantized 8 bit but its scale parameter has not been set"; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 588 | ReportError(ss.str(), errMessages); |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 589 | } |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 590 | // Softmax under QuantisedAsymm8 must always be scale (1.0f/256.0f) and offset 0 |
| 591 | if ((info.GetQuantizationScale() != (1.0f / 256.0f) || |
| 592 | info.GetQuantizationOffset() != 0) && |
| 593 | layer->GetType() == armnn::LayerType::Softmax) |
| 594 | { |
| 595 | std::stringstream ss; |
| 596 | ss << "Quantization parameters for Softmax layer (Scale: " << |
| 597 | info.GetQuantizationScale() << " and Offset: " << info.GetQuantizationOffset() << |
| 598 | ") 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] | 599 | ARMNN_LOG(warning) << ss.str(); |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 600 | info.SetQuantizationScale((1.0f /256.0f)); |
| 601 | info.SetQuantizationOffset(0); |
| 602 | outputSlot.SetTensorInfo(info); |
| 603 | } |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 604 | } |
| 605 | } |
| 606 | return noErrors; |
| 607 | } |
| 608 | |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 609 | template <typename LayerT> |
| 610 | LayerT* ConvertBf16ToFp32Weight(Layer* l) |
| 611 | { |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 612 | LayerT* layer = PolymorphicDowncast<LayerT*>(l); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 613 | if ((layer->GetType() == LayerType::Convolution2d || layer->GetType() == LayerType::FullyConnected) |
| 614 | && layer->m_Weight) |
| 615 | { |
| 616 | const TensorInfo& info = layer->m_Weight->GetTensorInfo(); |
| 617 | |
| 618 | if (info.GetDataType() == DataType::BFloat16) |
| 619 | { |
| 620 | std::vector<float> newValues(info.GetNumElements()); |
| 621 | |
| 622 | armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32( |
Finn Williams | 4422cec | 2021-03-22 17:51:06 +0000 | [diff] [blame] | 623 | layer->m_Weight->template GetConstTensor<armnn::BFloat16>(), info.GetNumElements(), newValues.data()); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 624 | |
| 625 | TensorInfo newInfo(info.GetShape(), DataType::Float32); |
| 626 | ConstTensor newInput(newInfo, newValues); |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 627 | layer->m_Weight.reset(new ScopedTensorHandle(newInput)); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 628 | } |
| 629 | } |
| 630 | return layer; |
| 631 | } |
| 632 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 633 | OptimizationResult AttemptBackendAssignment(BackendSettings& backendSettings, |
| 634 | Graph& graph, |
| 635 | Layer* layer, |
| 636 | BackendId backend, |
| 637 | DataType dataTypeIn, |
| 638 | DataType dataTypeOut, |
| 639 | const std::vector<BackendId>& availablePreferredBackends, |
| 640 | std::string& reasonIfUnsupported, |
| 641 | Optional<std::vector<std::string>&> errMessages) |
| 642 | { |
| 643 | OptimizationResult result; |
| 644 | |
| 645 | // Helper lambda to compose meaningful error message before returning with error |
| 646 | auto ReturnError = [&](const Layer* layer) |
| 647 | { |
| 648 | return ReturnWithError(result, layer, backendSettings, errMessages); |
| 649 | }; |
| 650 | |
| 651 | // need to set the compute device on the layer |
| 652 | // before we can check if it is supported |
| 653 | layer->SetBackendId(backend); |
| 654 | if (!IWorkloadFactory::IsLayerSupported(*layer, EmptyOptional(), reasonIfUnsupported)) |
| 655 | { |
| 656 | if (dataTypeIn == DataType::Float16 || dataTypeOut == DataType::Float16) |
| 657 | { |
| 658 | if (IWorkloadFactory::IsLayerSupported(*layer, DataType::Float32, reasonIfUnsupported) |
| 659 | && layer->GetType() != LayerType::ConvertFp32ToFp16 |
| 660 | && layer->GetType() != LayerType::ConvertFp16ToFp32) |
| 661 | { |
Jan Eilers | 0c0019c | 2021-08-20 16:42:58 +0100 | [diff] [blame] | 662 | auto ConstantLayerFromFp16ToFp32 = [](Layer& layer) |
| 663 | { |
| 664 | if (layer.GetType() == LayerType::Constant) |
| 665 | { |
| 666 | ConstantLayer* constantLayer = PolymorphicDowncast<ConstantLayer*>(&layer); |
| 667 | |
| 668 | auto& info = constantLayer->m_LayerOutput->GetTensorInfo(); |
| 669 | |
| 670 | if (info.GetDataType() == DataType::Float16) |
| 671 | { |
| 672 | std::vector<float> newValues(info.GetNumElements()); |
| 673 | |
| 674 | armnnUtils::FloatingPointConverter::ConvertFloat16To32( |
| 675 | constantLayer->m_LayerOutput->GetConstTensor<Half>(), |
| 676 | info.GetNumElements(), |
| 677 | newValues.data()); |
| 678 | |
| 679 | TensorInfo newInfo(info); |
| 680 | newInfo.SetDataType(DataType::Float32); |
| 681 | ConstTensor newInput(newInfo, newValues); |
| 682 | constantLayer->m_LayerOutput.reset(new ScopedTensorHandle(newInput)); |
| 683 | |
| 684 | layer.GetOutputSlot(0).SetTensorInfo(newInfo); |
| 685 | } |
| 686 | } |
| 687 | }; |
| 688 | |
| 689 | bool checkType = false; |
| 690 | |
| 691 | for (auto inputSlot : layer->GetInputSlots()) |
| 692 | { |
| 693 | auto connectedOutputSlot = inputSlot.GetConnectedOutputSlot(); |
| 694 | if (connectedOutputSlot->GetOwningLayer().GetType() == LayerType::Constant) |
| 695 | { |
| 696 | if (connectedOutputSlot->GetNumConnections() == 1) |
| 697 | { |
| 698 | checkType = true; |
| 699 | ConstantLayerFromFp16ToFp32(connectedOutputSlot->GetOwningLayer()); |
| 700 | } |
| 701 | } |
| 702 | } |
| 703 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 704 | // Insert FP16 -> FP32 conversion layer before current layer |
| 705 | std::vector<ConvertFp16ToFp32Layer*> convertFp16ToFp32Layers; |
| 706 | if (dataTypeIn == DataType::Float16) |
| 707 | { |
| 708 | convertFp16ToFp32Layers = |
Jan Eilers | 0c0019c | 2021-08-20 16:42:58 +0100 | [diff] [blame] | 709 | InsertConvertFp16ToFp32LayersBefore(graph, *layer, checkType); |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 710 | } |
| 711 | |
| 712 | // Insert FP32 -> FP16 conversion layer after current layer |
| 713 | std::vector<ConvertFp32ToFp16Layer*> convertFp32ToFp16Layers; |
| 714 | if (dataTypeOut == DataType::Float16) |
| 715 | { |
| 716 | convertFp32ToFp16Layers = |
| 717 | InsertConvertFp32ToFp16LayersAfter(graph, *layer); |
| 718 | } |
| 719 | |
| 720 | // Assign a supported backend to the newly introduced conversion layers |
| 721 | auto AssignFirstSupportedBackend = [&](Layer* layer, BackendId preferredBackend) |
| 722 | { |
| 723 | bool supportedBackendFound = false; |
| 724 | std::string reasonIfUnsupported; |
| 725 | |
| 726 | // Try preferred backend first |
| 727 | layer->SetBackendId(preferredBackend); |
| 728 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 729 | EmptyOptional(), |
| 730 | reasonIfUnsupported)) |
| 731 | { |
| 732 | supportedBackendFound = true; |
| 733 | } |
| 734 | else |
| 735 | { |
| 736 | for (const auto& backend : availablePreferredBackends) |
| 737 | { |
| 738 | // Skip preferred backend (we already determined that it is not supported) |
| 739 | if (backend == preferredBackend) |
| 740 | { |
| 741 | continue; |
| 742 | } |
| 743 | |
| 744 | layer->SetBackendId(backend); |
| 745 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 746 | EmptyOptional(), |
| 747 | reasonIfUnsupported)) |
| 748 | { |
| 749 | supportedBackendFound = true; |
| 750 | break; |
| 751 | } |
| 752 | } |
| 753 | } |
| 754 | |
| 755 | return supportedBackendFound; |
| 756 | }; |
| 757 | |
| 758 | for (ConvertFp16ToFp32Layer* convertLayer : convertFp16ToFp32Layers) |
| 759 | { |
| 760 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 761 | { |
| 762 | return ReturnError(convertLayer); |
| 763 | } |
| 764 | } |
| 765 | |
| 766 | for (ConvertFp32ToFp16Layer* convertLayer : convertFp32ToFp16Layers) |
| 767 | { |
| 768 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 769 | { |
| 770 | return ReturnError(convertLayer); |
| 771 | } |
| 772 | } |
| 773 | |
| 774 | return result; |
| 775 | } |
| 776 | } |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 777 | else if (dataTypeIn == DataType::BFloat16 || dataTypeOut == DataType::BFloat16) |
| 778 | { |
| 779 | if (IWorkloadFactory::IsLayerSupported(*layer, DataType::Float32, reasonIfUnsupported) |
| 780 | && layer->GetType() != LayerType::ConvertFp32ToBf16 |
| 781 | && layer->GetType() != LayerType::ConvertBf16ToFp32) |
| 782 | { |
| 783 | // Insert BF16 -> FP32 conversion layer before current layer |
| 784 | std::vector<ConvertBf16ToFp32Layer*> convertBf16ToFp32Layers; |
| 785 | if (dataTypeIn == DataType::BFloat16) |
| 786 | { |
| 787 | convertBf16ToFp32Layers = |
| 788 | InsertConvertBf16ToFp32LayersBefore(graph, *layer); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 789 | if (layer->GetType() == LayerType::Convolution2d) |
| 790 | { |
| 791 | ConvertBf16ToFp32Weight<Convolution2dLayer>(layer); |
| 792 | } |
| 793 | else if (layer->GetType() == LayerType::FullyConnected) |
| 794 | { |
| 795 | ConvertBf16ToFp32Weight<FullyConnectedLayer>(layer); |
| 796 | } |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 797 | } |
| 798 | |
| 799 | // Insert FP32 -> BF16 conversion layer after current layer |
| 800 | std::vector<ConvertFp32ToBf16Layer*> convertFp32ToBf16Layers; |
| 801 | if (dataTypeOut == DataType::BFloat16) |
| 802 | { |
| 803 | convertFp32ToBf16Layers = |
| 804 | InsertConvertFp32ToBf16LayersAfter(graph, *layer); |
| 805 | } |
| 806 | |
| 807 | // Assign a supported backend to the newly introduced conversion layers |
| 808 | auto AssignFirstSupportedBackend = [&](Layer* layer, BackendId preferredBackend) |
| 809 | { |
| 810 | bool supportedBackendFound = false; |
| 811 | std::string reasonIfUnsupported; |
| 812 | |
| 813 | // Try preferred backend first |
| 814 | layer->SetBackendId(preferredBackend); |
| 815 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 816 | EmptyOptional(), |
| 817 | reasonIfUnsupported)) |
| 818 | { |
| 819 | supportedBackendFound = true; |
| 820 | } |
| 821 | else |
| 822 | { |
| 823 | for (const auto& backend : availablePreferredBackends) |
| 824 | { |
| 825 | // Skip preferred backend (we already determined that it is not supported) |
| 826 | if (backend == preferredBackend) |
| 827 | { |
| 828 | continue; |
| 829 | } |
| 830 | |
| 831 | layer->SetBackendId(backend); |
| 832 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 833 | EmptyOptional(), |
| 834 | reasonIfUnsupported)) |
| 835 | { |
| 836 | supportedBackendFound = true; |
| 837 | break; |
| 838 | } |
| 839 | } |
| 840 | } |
| 841 | |
| 842 | return supportedBackendFound; |
| 843 | }; |
| 844 | |
| 845 | for (ConvertBf16ToFp32Layer* convertLayer : convertBf16ToFp32Layers) |
| 846 | { |
| 847 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 848 | { |
| 849 | return ReturnError(convertLayer); |
| 850 | } |
| 851 | } |
| 852 | |
| 853 | for (ConvertFp32ToBf16Layer* convertLayer : convertFp32ToBf16Layers) |
| 854 | { |
| 855 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 856 | { |
| 857 | return ReturnError(convertLayer); |
| 858 | } |
| 859 | } |
| 860 | |
| 861 | return result; |
| 862 | } |
| 863 | } |
| 864 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 865 | std::stringstream warningMsg; |
| 866 | warningMsg << "Layer of type " << GetLayerTypeAsCString(layer->GetType()) |
| 867 | << " is not supported on requested backend " << layer->GetBackendId().Get() |
| 868 | << " for input data type " << GetDataTypeName(dataTypeIn) |
| 869 | << " and output data type " << GetDataTypeName(dataTypeOut) |
| 870 | << " (reason: " << reasonIfUnsupported |
| 871 | << "), falling back to the next backend."; |
| 872 | ReportWarning(warningMsg.str(), errMessages); |
| 873 | |
| 874 | return OptimizationResult(true, false); |
| 875 | } |
| 876 | else |
| 877 | { |
| 878 | return result; |
| 879 | } |
| 880 | } |
| 881 | |
| 882 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 883 | OptimizationResult AssignBackends(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 884 | BackendSettings& backendSettings, |
| 885 | Graph::Iterator& firstLayer, |
| 886 | Graph::Iterator& lastLayer, |
| 887 | Optional<std::vector<std::string>&> errMessages) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 888 | { |
Derek Lamberti | f1e0ad3 | 2021-10-13 18:02:25 +0100 | [diff] [blame^] | 889 | ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "Optimizer_AssignBackends"); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 890 | OptimizationResult result; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 891 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 892 | // Helper lambda to compose meaningful error message before returning with error |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 893 | auto ReturnError = [&](const Layer* layer) |
| 894 | { |
| 895 | return ReturnWithError(result, layer, backendSettings, errMessages); |
| 896 | }; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 897 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 898 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 899 | auto availablePreferredBackends = backendSettings.GetAvailablePreferredBackends(); |
| 900 | if (availablePreferredBackends.empty()) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 901 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 902 | std::stringstream failureMsg; |
| 903 | failureMsg << "No preferred backends are available"; |
| 904 | ReportError(failureMsg.str(), errMessages); |
| 905 | |
| 906 | result.m_Error = true; |
| 907 | return result; |
| 908 | } |
| 909 | |
| 910 | for (auto it = firstLayer; it != lastLayer; ++it) |
| 911 | { |
| 912 | auto layer = *it; |
Aron Virginas-Tar | 87972be | 2019-11-13 15:16:28 +0000 | [diff] [blame] | 913 | |
| 914 | DataType dataTypeIn = layer->GetNumInputSlots() == 0 ? DataType::Float32 : |
| 915 | layer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo().GetDataType(); |
| 916 | DataType dataTypeOut = layer->GetNumOutputSlots() == 0 ? DataType::Float32 : |
| 917 | layer->GetOutputSlot(0).GetTensorInfo().GetDataType(); |
| 918 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 919 | std::string reasonIfUnsupported; |
| 920 | bool found = false; |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 921 | if (!CheckScaleSetOnQuantizedType(layer, errMessages)) |
| 922 | { |
| 923 | // don't bomb immediately, find all the quantized outputs |
| 924 | // which haven't had a scale set and report them all back. |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 925 | result.m_Error = true; |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 926 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 927 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 928 | // First try assign layer to hint backend |
| 929 | if (layer->GetBackendHint().has_value() && |
| 930 | backendSettings.IsBackendSupported(layer->GetBackendHint().value()) && |
| 931 | AttemptBackendAssignment(backendSettings, |
| 932 | optNetObjPtr->GetGraph(), |
| 933 | layer, |
| 934 | layer->GetBackendHint().value(), |
| 935 | dataTypeIn, |
| 936 | dataTypeOut, |
| 937 | availablePreferredBackends, |
| 938 | reasonIfUnsupported, |
| 939 | errMessages).IsOk()) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 940 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 941 | found = true; |
| 942 | backendSettings.m_SelectedBackends.insert(layer->GetBackendHint().value()); |
| 943 | } |
| 944 | else |
| 945 | { |
| 946 | // Try assign layer to prefered list of backends |
| 947 | for (const auto& backend : availablePreferredBackends) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 948 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 949 | if (layer->GetBackendHint().has_value() && |
| 950 | layer->GetBackendHint().value() == backend) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 951 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 952 | continue; //Don't re-test the backend hint |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 953 | } |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 954 | |
| 955 | OptimizationResult res = AttemptBackendAssignment(backendSettings, |
| 956 | optNetObjPtr->GetGraph(), |
| 957 | layer, |
| 958 | backend, |
| 959 | dataTypeIn, |
| 960 | dataTypeOut, |
| 961 | availablePreferredBackends, |
| 962 | reasonIfUnsupported, |
| 963 | errMessages); |
| 964 | |
| 965 | if (res.IsOk()) |
| 966 | { |
| 967 | found = true; |
| 968 | backendSettings.m_SelectedBackends.insert(backend); |
| 969 | break; |
| 970 | } |
| 971 | else if (res.IsError()) |
| 972 | { |
| 973 | return res; // Cannot continue. |
| 974 | // Note: we don't need to log the error as it would already |
| 975 | // be logged in AttemptBackendAssignment(). |
| 976 | } |
| 977 | else |
| 978 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 979 | ARMNN_ASSERT_MSG(res.IsWarningOnly(), "OptimizationResult in unexpected state."); |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 980 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 981 | } |
| 982 | } |
| 983 | |
| 984 | // 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] | 985 | if (!found) |
| 986 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 987 | // NOTE: if the layer is not an operation queue type AND we have not got CpuRef as a |
| 988 | // fallback we should set the compute device on the layer to CpuRef (these are not |
| 989 | // available as accelerated operations, or are only available under certain |
| 990 | // conditions, currently they comprise MemCopy, Constant, Permute) |
| 991 | armnn::LayerType layerType = layer->GetType(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 992 | if (!backendSettings.IsCpuRefUsed() && (layerType == armnn::LayerType::MemCopy || |
| 993 | layerType == armnn::LayerType::Constant || |
| 994 | layerType == armnn::LayerType::Permute)) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 995 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 996 | BackendId cpuBackendId(armnn::Compute::CpuRef); |
| 997 | layer->SetBackendId(cpuBackendId); |
| 998 | backendSettings.m_SelectedBackends.insert(cpuBackendId); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 999 | } |
| 1000 | else |
| 1001 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 1002 | return ReturnError(layer); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1003 | } |
| 1004 | } |
| 1005 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1006 | |
| 1007 | return result; |
| 1008 | } |
| 1009 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1010 | OptimizationResult AssignBackends(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1011 | BackendSettings& backendSettings, |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1012 | SubgraphView& subgraph, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1013 | Optional<std::vector<std::string>&> errMessages) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1014 | { |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1015 | Graph::Iterator firstLayer = subgraph.begin(); |
| 1016 | Graph::Iterator lastLayer = subgraph.end(); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1017 | return AssignBackends(optNetObjPtr, |
| 1018 | backendSettings, |
| 1019 | firstLayer, |
| 1020 | lastLayer, |
| 1021 | errMessages); |
| 1022 | } |
| 1023 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1024 | BackendsMap CreateSupportedBackends(TensorHandleFactoryRegistry& handleFactoryRegistry, |
| 1025 | BackendSettings& backendSettings) |
| 1026 | { |
| 1027 | BackendsMap backends; |
| 1028 | auto const& backendRegistry = BackendRegistryInstance(); |
| 1029 | for (auto&& selectedBackend : backendSettings.m_SupportedBackends) |
| 1030 | { |
| 1031 | auto backendFactory = backendRegistry.GetFactory(selectedBackend); |
| 1032 | auto backendObjPtr = backendFactory(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1033 | ARMNN_ASSERT(backendObjPtr); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1034 | |
| 1035 | backendObjPtr->RegisterTensorHandleFactories(handleFactoryRegistry); |
| 1036 | |
| 1037 | backends[backendObjPtr->GetId()] = std::move(backendObjPtr); |
| 1038 | } |
| 1039 | |
| 1040 | return backends; |
| 1041 | } |
| 1042 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1043 | OptimizationResult ApplyBackendOptimizations(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1044 | BackendSettings& backendSettings, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1045 | BackendsMap& backends, |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1046 | const ModelOptions& modelOptions, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1047 | Optional<std::vector<std::string>&> errMessages) |
| 1048 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1049 | ARMNN_ASSERT(optNetObjPtr); |
Derek Lamberti | f1e0ad3 | 2021-10-13 18:02:25 +0100 | [diff] [blame^] | 1050 | ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "Optimizer_ApplyBackendOptimizations") |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1051 | OptimizationResult result; |
| 1052 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1053 | // Get the optimized graph |
| 1054 | Graph& optGraph = optNetObjPtr->GetGraph(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1055 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1056 | // Run backend specific optimizations |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1057 | for (auto&& selectedBackend : backendSettings.m_SelectedBackends) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1058 | { |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1059 | auto backendObjPtr = backends.find(selectedBackend)->second.get(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1060 | ARMNN_ASSERT(backendObjPtr); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1061 | |
| 1062 | // Select sub-graphs based on backend |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1063 | SubgraphViewSelector::Subgraphs subgraphs = |
Rob Hughes | 65c3226 | 2019-07-23 15:33:39 +0100 | [diff] [blame] | 1064 | SubgraphViewSelector::SelectSubgraphs(optGraph, |
Matteo Martincigh | 602af09 | 2019-05-01 10:31:27 +0100 | [diff] [blame] | 1065 | // Select layers assigned to the requested backend |
| 1066 | [&backendObjPtr](const Layer& layer) |
| 1067 | { |
| 1068 | return layer.GetType() != LayerType::Input && |
| 1069 | layer.GetType() != LayerType::Output && |
| 1070 | layer.GetBackendId() == backendObjPtr->GetId(); |
| 1071 | }); |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1072 | if (subgraphs.empty()) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1073 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1074 | // No sub-graphs found, try with next selected backend |
| 1075 | continue; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1076 | } |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1077 | |
| 1078 | // Try to optimize each sub-graph |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1079 | for (auto& subgraph : subgraphs) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1080 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1081 | // Try to optimize the current sub-graph |
Derek Lamberti | f1e0ad3 | 2021-10-13 18:02:25 +0100 | [diff] [blame^] | 1082 | ARMNN_SCOPED_PROFILING_EVENT(backendObjPtr->GetId(), "Optimizer_OptimizeSubgraph"); |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1083 | OptimizationViews optimizationViews = backendObjPtr->OptimizeSubgraphView(*subgraph, modelOptions); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1084 | ARMNN_ASSERT(optimizationViews.Validate(*subgraph)); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1085 | |
| 1086 | // Optimization attempted, check the resulting optimized sub-graph |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1087 | for (auto& substitution : optimizationViews.GetSubstitutions()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1088 | { |
| 1089 | // 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] | 1090 | SubgraphView& replacementSubgraph = substitution.m_ReplacementSubgraph; |
| 1091 | SubgraphView& substitutableSubgraph = substitution.m_SubstitutableSubgraph; |
| 1092 | optGraph.SubstituteSubgraph(substitutableSubgraph, replacementSubgraph); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1093 | |
| 1094 | // Assign the current backend to the optimized sub-graph |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1095 | std::for_each(replacementSubgraph.begin(), replacementSubgraph.end(), [&selectedBackend](Layer* l) |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1096 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1097 | ARMNN_ASSERT(l); |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1098 | l->SetBackendId(selectedBackend); |
| 1099 | }); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1100 | } |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1101 | |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1102 | if (!optimizationViews.GetFailedSubgraphs().empty()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1103 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1104 | std::stringstream warningMsg; |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1105 | warningMsg << "Some sub-graph(s) failed to optimized on " << backendObjPtr->GetId() << " backend."; |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1106 | ReportWarning(warningMsg.str(), errMessages); |
| 1107 | |
| 1108 | // 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] | 1109 | BackendSettings settingsCopy(backendSettings); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1110 | if (!backendObjPtr->GetId().IsCpuRef()) |
| 1111 | { |
| 1112 | // Add the current backend to the list of backends to ignore |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1113 | settingsCopy.m_IgnoredBackends.insert(backendObjPtr->GetId()); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1114 | } |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1115 | |
| 1116 | int count=0; |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1117 | for (auto& failedSubgraph : optimizationViews.GetFailedSubgraphs()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1118 | { |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1119 | // An error occurred: the optimization was attempted but not performed, try different backends |
| 1120 | std::stringstream subgraphMsg; |
| 1121 | subgraphMsg << "Re-assigning backends to " << failedSubgraph.GetLayers().size() |
| 1122 | << " layers inside sub-graph " << count++; |
Matteo Martincigh | 328d92b | 2019-07-04 17:52:55 +0100 | [diff] [blame] | 1123 | ReportWarning(subgraphMsg.str(), errMessages); |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1124 | |
| 1125 | OptimizationResult reassignmentResult = AssignBackends(optNetObjPtr, |
| 1126 | settingsCopy, |
| 1127 | *subgraph, |
| 1128 | errMessages); |
| 1129 | if (reassignmentResult.m_Error) |
| 1130 | { |
| 1131 | // Failed to re-assign one of the remaining backends to each layer of the sub-graph |
| 1132 | result.m_Error = true; |
| 1133 | return result; |
| 1134 | } |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1135 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1136 | } |
| 1137 | } |
| 1138 | } |
| 1139 | |
| 1140 | return result; |
| 1141 | } |
| 1142 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1143 | bool RequiresCopy(ITensorHandleFactory::FactoryId src, |
| 1144 | ITensorHandleFactory::FactoryId dst, |
| 1145 | TensorHandleFactoryRegistry& registry) |
| 1146 | { |
| 1147 | if (src != dst) |
| 1148 | { |
| 1149 | ITensorHandleFactory* srcFactory = registry.GetFactory(src); |
| 1150 | ITensorHandleFactory* dstFactory = registry.GetFactory(dst); |
| 1151 | |
Matteo Martincigh | a6539ed | 2019-08-27 13:43:32 +0100 | [diff] [blame] | 1152 | if (srcFactory && dstFactory && |
| 1153 | (srcFactory->GetExportFlags() & dstFactory->GetImportFlags()) != 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1154 | { |
| 1155 | return false; |
| 1156 | } |
| 1157 | return true; |
| 1158 | } |
| 1159 | return false; |
| 1160 | } |
| 1161 | |
| 1162 | // Find the handle factory for the input layer which results in fewest required copies. |
| 1163 | ITensorHandleFactory::FactoryId CalculateSlotOptionForInput(BackendsMap& backends, |
| 1164 | OutputSlot& slot, |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1165 | TensorHandleFactoryRegistry& registry, |
| 1166 | bool importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1167 | { |
| 1168 | Layer& layer = slot.GetOwningLayer(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1169 | ARMNN_ASSERT(layer.GetType() == LayerType::Input); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1170 | |
| 1171 | // Explicitly select the tensorhandle factory for InputLayer because the rules for it are slightly different. It |
| 1172 | // doesn't matter which backend it is assigned to because they all use the same implementation, which |
| 1173 | // requires Map/Unmap support. This means that, so long as the handle type supports map/unmap semantics, we can |
| 1174 | // select a factory with maximum compatibility with the layers connected to the InputLayer. |
| 1175 | |
| 1176 | // First ensure the from backends can support the TensorHandeAPI |
| 1177 | auto frmBackend = backends.find(layer.GetBackendId()); |
| 1178 | if (frmBackend == backends.end() || |
| 1179 | !frmBackend->second->SupportsTensorAllocatorAPI()) |
| 1180 | { |
| 1181 | return ITensorHandleFactory::LegacyFactoryId; |
| 1182 | } |
| 1183 | |
| 1184 | // Go through all connections to the output slot and determine the TensorHandleFactory which results in the |
| 1185 | // fewest copies. |
| 1186 | std::map<ITensorHandleFactory::FactoryId, int> factoryScores; |
| 1187 | int topScore = 0; |
| 1188 | ITensorHandleFactory::FactoryId topChoice = ITensorHandleFactory::LegacyFactoryId; |
| 1189 | |
| 1190 | for (auto&& connection : slot.GetConnections()) |
| 1191 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1192 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1193 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1194 | |
| 1195 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1196 | 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] | 1197 | |
| 1198 | if (!toBackend->second.get()->SupportsTensorAllocatorAPI()) |
| 1199 | { |
| 1200 | // The destination backend does not support the tensor allocator API, move to the next one |
| 1201 | continue; |
| 1202 | } |
| 1203 | |
| 1204 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1205 | for (auto&& dst : dstPrefs) |
| 1206 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1207 | // Input layers use the mem copy workload or import, so the selected factory must |
| 1208 | // support either the map/unmap API or Import API |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1209 | ITensorHandleFactory* factory = registry.GetFactory(dst); |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1210 | if (importEnabled && factory->GetImportFlags() == 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1211 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1212 | continue; |
| 1213 | } |
| 1214 | else if (!importEnabled && !factory->SupportsMapUnmap()) |
| 1215 | { |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1216 | continue; |
| 1217 | } |
| 1218 | |
| 1219 | auto it = factoryScores.find(dst); |
| 1220 | if (it == factoryScores.end()) |
| 1221 | { |
| 1222 | // Add new score to the table |
| 1223 | factoryScores[dst] = 0; |
| 1224 | if (topChoice == ITensorHandleFactory::LegacyFactoryId) |
| 1225 | { |
| 1226 | topChoice = dst; |
| 1227 | } |
| 1228 | } |
| 1229 | else |
| 1230 | { |
| 1231 | // Increase the score |
| 1232 | factoryScores[dst]++; |
| 1233 | |
| 1234 | // Track the best option |
| 1235 | if (factoryScores[dst] > topScore) |
| 1236 | { |
| 1237 | topScore = factoryScores[dst]; |
| 1238 | topChoice = dst; |
| 1239 | } |
| 1240 | } |
| 1241 | } |
| 1242 | } |
| 1243 | |
| 1244 | return topChoice; |
| 1245 | } |
| 1246 | |
| 1247 | // Find the handle factory for the output layer which results in fewest required copies. |
| 1248 | ITensorHandleFactory::FactoryId CalculateSlotOptionForOutput(BackendsMap& backends, |
| 1249 | OutputSlot& slot, |
| 1250 | TensorHandleFactoryRegistry& registry) |
| 1251 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 1252 | IgnoreUnused(backends, slot, registry); |
Derek Lamberti | 94a88d2 | 2019-12-10 21:12:59 +0000 | [diff] [blame] | 1253 | return ITensorHandleFactory::DeferredFactoryId; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1254 | } |
| 1255 | |
| 1256 | // For all handle factories supported on the source backend, we wish to find the one which requires the fewest copies |
| 1257 | // when considering all connections. |
| 1258 | ITensorHandleFactory::FactoryId CalculateSlotOption(BackendsMap& backends, |
| 1259 | OutputSlot& outputSlot, |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1260 | TensorHandleFactoryRegistry& registry, |
| 1261 | bool importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1262 | { |
| 1263 | // First ensure the from backends can support the TensorHandeAPI |
| 1264 | Layer& layer = outputSlot.GetOwningLayer(); |
| 1265 | auto frmBackend = backends.find(layer.GetBackendId()); |
| 1266 | if (frmBackend == backends.end() || |
| 1267 | !frmBackend->second->SupportsTensorAllocatorAPI()) |
| 1268 | { |
| 1269 | return ITensorHandleFactory::LegacyFactoryId; |
| 1270 | } |
| 1271 | |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1272 | bool outputConnection = false; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1273 | for (auto&& connection : outputSlot.GetConnections()) |
| 1274 | { |
| 1275 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1276 | if (connectedLayer.GetType() == LayerType::Output) |
| 1277 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1278 | outputConnection = true; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1279 | } |
| 1280 | } |
| 1281 | |
| 1282 | IBackendInternal* srcBackend = frmBackend->second.get(); |
| 1283 | auto srcPrefs = srcBackend->GetHandleFactoryPreferences(); |
| 1284 | |
| 1285 | // Initialize the scores |
| 1286 | std::map<ITensorHandleFactory::FactoryId, int> factoryScores; |
| 1287 | for (auto&& pref : srcPrefs) |
| 1288 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1289 | if (importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1290 | { |
| 1291 | ITensorHandleFactory* factory = registry.GetFactory(pref); |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1292 | if (outputConnection) |
| 1293 | { |
| 1294 | // Check if this is fallback case |
| 1295 | bool fallbackConnection = false; |
| 1296 | for (auto&& inputSlot : layer.GetInputSlots()) |
| 1297 | { |
| 1298 | if (inputSlot.GetConnectedOutputSlot()->GetOwningLayer().GetBackendId() != layer.GetBackendId()) |
| 1299 | { |
| 1300 | fallbackConnection = true; |
| 1301 | } |
| 1302 | } |
| 1303 | if (fallbackConnection) |
| 1304 | { |
| 1305 | auto factoryCap = factory->GetCapabilities(&layer, &layer, CapabilityClass::FallbackImportDisabled); |
| 1306 | // Cannot use factory import if fallback import is not supported. |
| 1307 | if (!factoryCap.empty()) |
| 1308 | { |
| 1309 | continue; |
| 1310 | } |
| 1311 | } |
| 1312 | else if (factory->GetExportFlags() == 0) |
| 1313 | { |
| 1314 | continue; |
| 1315 | } |
| 1316 | } |
| 1317 | if (!outputConnection) |
| 1318 | { |
| 1319 | auto factoryCap = factory->GetCapabilities(&layer, &layer, CapabilityClass::FallbackImportDisabled); |
| 1320 | // Cannot use factory import if fallback import is not supported. |
| 1321 | if (!factoryCap.empty()) |
| 1322 | { |
| 1323 | continue; |
| 1324 | } |
| 1325 | } |
| 1326 | |
| 1327 | } |
| 1328 | else |
| 1329 | { |
| 1330 | // Only consider factories that support map/unmap |
| 1331 | ITensorHandleFactory* factory = registry.GetFactory(pref); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1332 | if (!factory->SupportsMapUnmap()) |
| 1333 | { |
| 1334 | // The current tensor handle factory does not support the map/unmap strategy, move to the next one |
| 1335 | continue; |
| 1336 | } |
| 1337 | } |
| 1338 | |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1339 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1340 | auto it = factoryScores.find(pref); |
| 1341 | if (it == factoryScores.end()) |
| 1342 | { |
| 1343 | // Add new score to the table |
| 1344 | factoryScores[pref] = 0; |
| 1345 | } |
| 1346 | } |
| 1347 | |
| 1348 | // Score each handle factory based on how many times it requires copies on the slot connections |
| 1349 | for (auto&& connection : outputSlot.GetConnections()) |
| 1350 | { |
| 1351 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1352 | |
| 1353 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1354 | 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] | 1355 | |
| 1356 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1357 | for (auto&& src : srcPrefs) |
| 1358 | { |
| 1359 | if (factoryScores.find(src) == factoryScores.end()) // Don't consider excluded factories |
| 1360 | { |
| 1361 | continue; |
| 1362 | } |
| 1363 | |
| 1364 | for (auto&& dst : dstPrefs) |
| 1365 | { |
| 1366 | if (RequiresCopy(src, dst, registry)) |
| 1367 | { |
| 1368 | // Copy avoided, increase the score |
| 1369 | factoryScores[src]++; |
| 1370 | break; |
| 1371 | } |
| 1372 | } |
| 1373 | } |
| 1374 | } |
| 1375 | |
| 1376 | // Find the lowest score |
| 1377 | int minScore = std::numeric_limits<int>::max(); |
| 1378 | for (auto it : factoryScores) |
| 1379 | { |
| 1380 | minScore = std::min(minScore, it.second); |
| 1381 | } |
| 1382 | |
| 1383 | // Collect factories matching the best(lowest) score |
| 1384 | std::vector<ITensorHandleFactory::FactoryId> optimalFactories; |
| 1385 | for (auto it : factoryScores) |
| 1386 | { |
| 1387 | if (it.second == minScore) |
| 1388 | { |
| 1389 | optimalFactories.push_back(it.first); |
| 1390 | } |
| 1391 | } |
| 1392 | |
| 1393 | // For all compatible Factories matching the best score, find the preferred one for the current layer. |
| 1394 | for (auto&& srcPref : srcPrefs) |
| 1395 | { |
| 1396 | for (auto&& comp : optimalFactories) |
| 1397 | { |
| 1398 | if (comp == srcPref) |
| 1399 | { |
| 1400 | return comp; |
| 1401 | } |
| 1402 | } |
| 1403 | } |
| 1404 | |
| 1405 | return ITensorHandleFactory::LegacyFactoryId; |
| 1406 | } |
| 1407 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1408 | EdgeStrategy CalculateEdgeStrategy(BackendsMap& backends, |
| 1409 | ITensorHandleFactory::FactoryId srcFactoryId, |
| 1410 | const Layer& layer, |
| 1411 | const Layer& connectedLayer, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1412 | TensorHandleFactoryRegistry& registry, |
| 1413 | bool importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1414 | { |
| 1415 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1416 | 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] | 1417 | |
| 1418 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1419 | |
| 1420 | // Legacy API check for backward compatibility |
| 1421 | if (srcFactoryId == ITensorHandleFactory::LegacyFactoryId || dstPrefs.empty()) |
| 1422 | { |
| 1423 | if (layer.GetBackendId() != connectedLayer.GetBackendId()) |
| 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 | else |
| 1428 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1429 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1430 | } |
| 1431 | } |
| 1432 | |
| 1433 | // TensorHandleFactory API present, so perform more sophisticated strategies. |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1434 | // 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] | 1435 | if (connectedLayer.GetType() == LayerType::Output) |
| 1436 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1437 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1438 | } |
| 1439 | |
| 1440 | // Search for direct match in prefs |
| 1441 | for (auto&& pref : dstPrefs) |
| 1442 | { |
| 1443 | if (pref == srcFactoryId) |
| 1444 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1445 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1446 | } |
| 1447 | } |
| 1448 | |
| 1449 | // Search for export/import options |
| 1450 | ITensorHandleFactory* srcFactory = registry.GetFactory(srcFactoryId); |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1451 | if (srcFactory->GetExportFlags() != 0 && importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1452 | { |
| 1453 | for (auto&& pref : dstPrefs) |
| 1454 | { |
| 1455 | ITensorHandleFactory* dstFactory = registry.GetFactory(pref); |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1456 | |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1457 | // Handles cases when a destPref is not listed in TensorHandleFactoryRegistry |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1458 | if (!dstFactory) { |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1459 | continue; |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1460 | } |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1461 | if ((dstFactory->GetImportFlags() & srcFactory->GetExportFlags()) != 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1462 | { |
Narumol Prangnawarat | b8d771a | 2020-08-14 11:51:12 +0100 | [diff] [blame] | 1463 | auto srcCapability = srcFactory->GetCapabilities(&layer, &layer, CapabilityClass::PaddingRequired); |
| 1464 | auto dstCapability = dstFactory->GetCapabilities(&connectedLayer, |
| 1465 | &connectedLayer, |
| 1466 | CapabilityClass::PaddingRequired); |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1467 | auto srcFallback = srcFactory->GetCapabilities(&layer, &layer, CapabilityClass::FallbackImportDisabled); |
| 1468 | auto dstFallback = dstFactory->GetCapabilities(&connectedLayer, |
| 1469 | &connectedLayer, |
| 1470 | CapabilityClass::FallbackImportDisabled); |
Narumol Prangnawarat | b8d771a | 2020-08-14 11:51:12 +0100 | [diff] [blame] | 1471 | // Do not require memory copy if the source and destination do not require padding. |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1472 | if (srcCapability.empty() && dstCapability.empty() && srcFallback.empty() && dstFallback.empty()) |
Narumol Prangnawarat | b8d771a | 2020-08-14 11:51:12 +0100 | [diff] [blame] | 1473 | { |
| 1474 | return EdgeStrategy::ExportToTarget; |
| 1475 | } |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1476 | } |
| 1477 | } |
| 1478 | } |
| 1479 | |
| 1480 | // Search for copy options via map/unmap |
| 1481 | if (srcFactory->SupportsMapUnmap()) |
| 1482 | { |
| 1483 | for (auto&& pref : dstPrefs) |
| 1484 | { |
| 1485 | ITensorHandleFactory* dstFactory = registry.GetFactory(pref); |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1486 | if (dstFactory && dstFactory->SupportsMapUnmap()) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1487 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1488 | return EdgeStrategy::CopyToTarget; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1489 | } |
| 1490 | } |
| 1491 | } |
| 1492 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1493 | return EdgeStrategy::Undefined; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1494 | } |
| 1495 | |
| 1496 | // Select the TensorHandleFactories and the corresponding memory strategy |
| 1497 | OptimizationResult SelectTensorHandleStrategy(Graph& optGraph, |
| 1498 | BackendsMap& backends, |
| 1499 | TensorHandleFactoryRegistry& registry, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1500 | bool importEnabled, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1501 | Optional<std::vector<std::string>&> errMessages) |
| 1502 | { |
Derek Lamberti | f1e0ad3 | 2021-10-13 18:02:25 +0100 | [diff] [blame^] | 1503 | ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "Optimizer_SelectTensorHandleStrategy"); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1504 | OptimizationResult result; |
| 1505 | |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1506 | optGraph.ForEachLayer([&backends, ®istry, &result, &errMessages, importEnabled](Layer* layer) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1507 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1508 | ARMNN_ASSERT(layer); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1509 | |
| 1510 | // Lets make sure the backend is in our list of supported backends. Something went wrong during backend |
| 1511 | // assignment if this check fails |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1512 | ARMNN_ASSERT(backends.find(layer->GetBackendId()) != backends.end()); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1513 | |
| 1514 | // Check each output separately |
| 1515 | for (unsigned int slotIdx = 0; slotIdx < layer->GetNumOutputSlots(); slotIdx++) |
| 1516 | { |
| 1517 | OutputSlot& outputSlot = layer->GetOutputSlot(slotIdx); |
| 1518 | |
| 1519 | ITensorHandleFactory::FactoryId slotOption = ITensorHandleFactory::LegacyFactoryId; |
| 1520 | |
| 1521 | // Calculate the factory to use which results in the fewest copies being made. |
| 1522 | switch(layer->GetType()) |
| 1523 | { |
| 1524 | case LayerType::Input: |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1525 | slotOption = CalculateSlotOptionForInput(backends, outputSlot, registry, importEnabled); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1526 | break; |
| 1527 | case LayerType::Output: |
| 1528 | slotOption = CalculateSlotOptionForOutput(backends, outputSlot, registry); |
| 1529 | break; |
| 1530 | default: |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1531 | slotOption = CalculateSlotOption(backends, outputSlot, registry, importEnabled); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1532 | break; |
| 1533 | } |
| 1534 | outputSlot.SetTensorHandleFactory(slotOption); |
| 1535 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1536 | // Now determine the "best" edge strategy for each connection given the slotOption. |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1537 | unsigned int connectionIdx = 0; |
| 1538 | for (auto&& connection : outputSlot.GetConnections()) |
| 1539 | { |
| 1540 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1541 | |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1542 | EdgeStrategy strategy = CalculateEdgeStrategy(backends, slotOption, *layer, connectedLayer, |
| 1543 | registry, importEnabled); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1544 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1545 | if (strategy == EdgeStrategy::Undefined) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1546 | { |
| 1547 | result.m_Error = true; |
| 1548 | if (errMessages) |
| 1549 | { |
| 1550 | errMessages.value().emplace_back("Could not find valid strategy required for compatibility" |
| 1551 | " between backends."); |
| 1552 | } |
| 1553 | return; |
| 1554 | } |
| 1555 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1556 | outputSlot.SetEdgeStrategy(connectionIdx, strategy); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1557 | |
| 1558 | connectionIdx++; |
| 1559 | } |
| 1560 | } |
| 1561 | }); |
| 1562 | |
| 1563 | return result; |
| 1564 | } |
| 1565 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1566 | IOptimizedNetworkPtr Optimize(const INetwork& inNetwork, |
| 1567 | const std::vector<BackendId>& backendPreferences, |
| 1568 | const IDeviceSpec& deviceSpec, |
| 1569 | const OptimizerOptions& options, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1570 | Optional<std::vector<std::string>&> messages) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1571 | { |
Derek Lamberti | f1e0ad3 | 2021-10-13 18:02:25 +0100 | [diff] [blame^] | 1572 | // Enable profiling |
| 1573 | auto profiler = inNetwork.pNetworkImpl->GetGraph().GetProfiler(); |
| 1574 | ProfilerManager::GetInstance().RegisterProfiler(profiler.get()); |
| 1575 | profiler->EnableProfiling(options.m_ProfilingEnabled); |
| 1576 | |
| 1577 | ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "Optimizer"); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1578 | if (backendPreferences.empty()) |
| 1579 | { |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1580 | throw InvalidArgumentException("Invoked Optimize with no backends specified"); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1581 | } |
| 1582 | |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1583 | if (options.m_ReduceFp32ToFp16 && options.m_ReduceFp32ToBf16) |
| 1584 | { |
| 1585 | throw InvalidArgumentException("BFloat16 and Float16 optimization cannot be enabled at the same time."); |
| 1586 | } |
| 1587 | |
Cathal Corbett | 521032f | 2021-10-07 11:46:40 +0100 | [diff] [blame] | 1588 | // Ensure TensorInfo is set on all output slots of ConstantLayers in the graph |
| 1589 | inNetwork.pNetworkImpl->GetGraph().VerifyConstantLayerSetTensorInfo(); |
| 1590 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1591 | std::unique_ptr<Graph> graph = std::make_unique<Graph>(inNetwork.pNetworkImpl->GetGraph()); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1592 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1593 | auto optNet = IOptimizedNetworkPtr(new IOptimizedNetwork(std::move(graph), options.m_ModelOptions), |
Sadik Armagan | 045f6be | 2020-09-10 13:37:32 +0100 | [diff] [blame] | 1594 | &IOptimizedNetwork::Destroy); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1595 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1596 | IOptimizedNetwork* optNetObjPtr = optNet.get(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1597 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1598 | // Get the optimized graph |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1599 | Graph& optGraph = optNetObjPtr->pOptimizedNetworkImpl->GetGraph(); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1600 | |
Finn Williams | d218d98 | 2021-08-09 13:00:08 +0100 | [diff] [blame] | 1601 | if(options.m_shapeInferenceMethod == ShapeInferenceMethod::InferAndValidate) |
| 1602 | { |
| 1603 | // Infer the tensor infos for all output slots. Throws an exception on failure |
| 1604 | optGraph.InferTensorInfos(); |
| 1605 | } |
Finn Williams | 84e025a | 2021-08-05 17:29:32 +0100 | [diff] [blame] | 1606 | |
Narumol Prangnawarat | 16f82f9 | 2020-09-14 16:12:44 +0100 | [diff] [blame] | 1607 | // Perform AddBroadcastReshapeLayer optimisation |
| 1608 | using namespace optimizations; |
| 1609 | Optimizer::Pass(optGraph, MakeOptimizations(AddBroadcastReshapeLayer())); |
| 1610 | |
Finn Williams | d218d98 | 2021-08-09 13:00:08 +0100 | [diff] [blame] | 1611 | if(options.m_shapeInferenceMethod == ShapeInferenceMethod::ValidateOnly) |
| 1612 | { |
| 1613 | // Validate the tensor infos for all output slots. Throws an exception on failure |
| 1614 | optGraph.InferTensorInfos(); |
| 1615 | } |
| 1616 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1617 | // Perform optimisation passes |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1618 | Optimizer::Pass(optGraph, MakeOptimizations(SquashEqualPermuteSiblings(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1619 | SquashEqualTransposeSiblings(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1620 | SquashEqualReshapeSiblings(), |
| 1621 | OptimizeInversePermutes(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1622 | OptimizeInverseTransposes(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1623 | MovePermuteUp(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1624 | MoveTransposeUp(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1625 | PermuteAsReshape(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1626 | TransposeAsReshape(), |
Nina Drozd | 861985f | 2019-04-18 14:48:51 +0100 | [diff] [blame] | 1627 | OptimizeConsecutiveReshapes(), |
Matthew Sloyan | 33f8987 | 2021-06-30 10:20:17 +0100 | [diff] [blame] | 1628 | RedirectMembersToConstantInputs(), |
Rob Hughes | 3a7d3a7 | 2019-09-24 16:59:56 +0100 | [diff] [blame] | 1629 | FoldPadIntoConvolution2d(), |
Teresa Charlin | 5786eb7 | 2021-05-21 16:29:45 +0100 | [diff] [blame] | 1630 | FoldPadIntoDepthwiseConvolution2d(), |
Diego Lopez Recas | fe95d72 | 2021-03-19 12:40:16 +0000 | [diff] [blame] | 1631 | FoldPadIntoPooling2d(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1632 | PermuteAndBatchToSpaceAsDepthToSpace(), |
Teresa Charlin | 06e0300 | 2020-10-15 13:16:07 +0100 | [diff] [blame] | 1633 | TransposeAndBatchToSpaceAsDepthToSpace(), |
Mike Kelly | 90231b8 | 2020-11-05 15:44:56 +0000 | [diff] [blame] | 1634 | FuseBatchNormIntoConvolution2DFloat32(), |
| 1635 | FuseBatchNormIntoConvolution2DFloat16(), |
| 1636 | FuseBatchNormIntoDepthwiseConvolution2DFloat32(), |
| 1637 | FuseBatchNormIntoDepthwiseConvolution2DFloat16())); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1638 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1639 | // If Fp32 to Fp16 optimization is set convert Fp32 network to Fp16 |
| 1640 | if (options.m_ReduceFp32ToFp16) |
| 1641 | { |
Derek Lamberti | f1e0ad3 | 2021-10-13 18:02:25 +0100 | [diff] [blame^] | 1642 | ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "Optimizer_ReduceFp32ToFp16"); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1643 | Optimizer::Pass(optGraph, MakeOptimizations(Fp32NetworkToFp16Converter())); |
Derek Lamberti | dd6804b | 2019-11-27 09:29:57 +0000 | [diff] [blame] | 1644 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsFloatToHalf())); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1645 | } |
| 1646 | |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1647 | // If Fp32 to Bf16 optimization is set convert Fp32 network to Bf16 |
Narumol Prangnawarat | 57ef008 | 2020-03-26 09:20:43 +0000 | [diff] [blame] | 1648 | // Convert input of Convolution2d and FullyConnected from Fp32 to Bf16 |
| 1649 | // 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] | 1650 | if (options.m_ReduceFp32ToBf16) |
| 1651 | { |
Derek Lamberti | f1e0ad3 | 2021-10-13 18:02:25 +0100 | [diff] [blame^] | 1652 | ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "Optimizer_ReduceFp32ToBf16"); |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1653 | Optimizer::Pass(optGraph, MakeOptimizations(Fp32NetworkToBf16Converter())); |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1654 | } |
| 1655 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1656 | // Initialize backend settings |
| 1657 | BackendSettings backendSettings(backendPreferences, deviceSpec); |
| 1658 | if (backendSettings.GetAvailablePreferredBackends().empty()) |
| 1659 | { |
| 1660 | std::stringstream failureMsg; |
| 1661 | failureMsg << "None of the preferred backends " << backendPreferences |
| 1662 | << " are supported. Current platform provides " << backendSettings.m_SupportedBackends; |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1663 | ReportError(failureMsg.str(), messages); |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1664 | throw InvalidArgumentException(failureMsg.str()); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1665 | } |
| 1666 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1667 | // Create a map to temporarily hold initialized backend objects |
| 1668 | TensorHandleFactoryRegistry tensorHandleFactoryRegistry; |
| 1669 | BackendsMap backends = CreateSupportedBackends(tensorHandleFactoryRegistry, backendSettings); |
| 1670 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1671 | // Assign an available backend to each layer |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1672 | Graph::Iterator firstLayer = optGraph.begin(); |
| 1673 | Graph::Iterator lastLayer = optGraph.end(); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1674 | OptimizationResult assignBackendsResult = AssignBackends(optNetObjPtr->pOptimizedNetworkImpl.get(), |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1675 | backendSettings, |
| 1676 | firstLayer, |
| 1677 | lastLayer, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1678 | messages); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1679 | if (assignBackendsResult.m_Error) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1680 | { |
| 1681 | // Failed to assign a backend to each layer |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1682 | throw InvalidArgumentException("Failed to assign a backend to each layer"); |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 1683 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1684 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1685 | Optimizer::Pass(optGraph, MakeOptimizations(OptimizeInverseConversionsFp16(), |
| 1686 | OptimizeInverseConversionsFp32())); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1687 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1688 | // Apply the backend-specific optimizations |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1689 | OptimizationResult backendOptimizationResult = ApplyBackendOptimizations(optNetObjPtr->pOptimizedNetworkImpl.get(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1690 | backendSettings, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1691 | backends, |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1692 | options.m_ModelOptions, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1693 | messages); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1694 | if (backendOptimizationResult.m_Error) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1695 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1696 | // Failed to apply the backend-specific optimizations |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1697 | throw InvalidArgumentException("Failed to apply the backend-specific optimizations"); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1698 | } |
| 1699 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1700 | // If the debug flag is set, then insert a DebugLayer after each layer |
| 1701 | // Doing this after applying the backend optimizations as they might have changed some layers |
| 1702 | if (options.m_Debug) |
| 1703 | { |
| 1704 | Optimizer::Pass(optGraph, MakeOptimizations(InsertDebugLayer())); |
| 1705 | } |
| 1706 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1707 | // Calculate the compatibility strategies for tensor handles |
| 1708 | OptimizationResult strategyResult = SelectTensorHandleStrategy(optGraph, |
| 1709 | backends, |
| 1710 | tensorHandleFactoryRegistry, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1711 | options.m_ImportEnabled, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1712 | messages); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1713 | if (strategyResult.m_Error) |
| 1714 | { |
| 1715 | // Failed to apply the backend-specific optimizations |
| 1716 | return IOptimizedNetworkPtr(nullptr, &IOptimizedNetwork::Destroy); |
| 1717 | } |
| 1718 | |
| 1719 | // Based on the tensor handle strategy determined above, insert copy layers where required. |
Derek Lamberti | f1e0ad3 | 2021-10-13 18:02:25 +0100 | [diff] [blame^] | 1720 | { |
| 1721 | ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "Optimizer_AddCompatibilityLayers"); |
| 1722 | optGraph.AddCompatibilityLayers(backends, tensorHandleFactoryRegistry); |
| 1723 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1724 | |
| 1725 | // Convert constants |
Derek Lamberti | f1e0ad3 | 2021-10-13 18:02:25 +0100 | [diff] [blame^] | 1726 | { |
| 1727 | ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "Optimizer_ConvertConstants"); |
| 1728 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsFloatToHalf())); |
| 1729 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsHalfToFloat())); |
| 1730 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1731 | return optNet; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1732 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1733 | bool NetworkImpl::GetShapeInferenceMethod() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1734 | { |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 1735 | if (m_NetworkOptions.size() > 0 && m_NetworkOptions[0].GetBackendId().Get() == "ShapeInferenceMethod") |
| 1736 | { |
| 1737 | return m_NetworkOptions[0].GetOption(0).GetValue().AsBool(); |
| 1738 | } |
| 1739 | |
| 1740 | return false; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1741 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1742 | NetworkImpl::NetworkImpl(NetworkOptions networkOptions) |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 1743 | : m_NetworkOptions(networkOptions), |
| 1744 | m_Graph(std::make_unique<Graph>(GetShapeInferenceMethod())) |
| 1745 | {} |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1746 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1747 | NetworkImpl::~NetworkImpl() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1748 | { |
| 1749 | } |
| 1750 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1751 | Status NetworkImpl::PrintGraph() |
Jan Eilers | 99d9d4a | 2019-11-06 10:02:16 +0000 | [diff] [blame] | 1752 | { |
| 1753 | m_Graph->Print(); |
| 1754 | return Status::Success; |
| 1755 | } |
| 1756 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1757 | IConnectableLayer* NetworkImpl::AddInputLayer(LayerBindingId id, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1758 | { |
| 1759 | return m_Graph->AddLayer<InputLayer>(id, name); |
| 1760 | } |
| 1761 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1762 | IConnectableLayer* NetworkImpl::AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor& batchToSpaceNdDescriptor, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 1763 | const char* name) |
| 1764 | { |
| 1765 | return m_Graph->AddLayer<BatchToSpaceNdLayer>(batchToSpaceNdDescriptor, name); |
| 1766 | } |
| 1767 | |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 1768 | IConnectableLayer* NetworkImpl::AddCastLayer(const char* name) |
| 1769 | { |
| 1770 | return m_Graph->AddLayer<CastLayer>(name); |
| 1771 | } |
Simon Obute | 51f6777 | 2021-09-03 15:50:13 +0100 | [diff] [blame] | 1772 | IConnectableLayer* NetworkImpl::AddChannelShuffleLayer(const ChannelShuffleDescriptor& channelShuffleDescriptor, |
| 1773 | const char* name) |
| 1774 | { |
| 1775 | return m_Graph->AddLayer<ChannelShuffleLayer>(channelShuffleDescriptor, name); |
| 1776 | } |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 1777 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1778 | IConnectableLayer* NetworkImpl::AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor, |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 1779 | const char* name) |
| 1780 | { |
| 1781 | return m_Graph->AddLayer<ComparisonLayer>(comparisonDescriptor, name); |
| 1782 | } |
| 1783 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1784 | IConnectableLayer* NetworkImpl::AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& elementwiseUnaryDescriptor, |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 1785 | const char* name) |
| 1786 | { |
| 1787 | return m_Graph->AddLayer<ElementwiseUnaryLayer>(elementwiseUnaryDescriptor, name); |
| 1788 | } |
| 1789 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1790 | IConnectableLayer* NetworkImpl::AddFillLayer(const FillDescriptor& fillDescriptor, |
Ryan OShea | ec6c680 | 2020-06-05 17:17:06 +0100 | [diff] [blame] | 1791 | const char* name) |
| 1792 | { |
| 1793 | return m_Graph->AddLayer<FillLayer>(fillDescriptor, name); |
| 1794 | } |
| 1795 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1796 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
| 1797 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1798 | { |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1799 | return m_Graph->AddLayer<FullyConnectedLayer>(fullyConnectedDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1800 | } |
| 1801 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1802 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1803 | const Optional<ConstTensor>& weights, |
| 1804 | const Optional<ConstTensor>& biases, |
| 1805 | const char* name) |
| 1806 | { |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1807 | ConstantLayer* weightsLayer = nullptr; |
| 1808 | ConstantLayer* biasLayer = nullptr; |
| 1809 | unsigned int numInputs = fullyConnectedDescriptor.GetNumInputs(); |
| 1810 | |
| 1811 | // Add a constant layer for weights |
| 1812 | if (weights.has_value()) |
| 1813 | { |
| 1814 | weightsLayer = m_Graph->AddLayer<ConstantLayer>("Weights"); |
| 1815 | weightsLayer->m_LayerOutput = std::make_shared<ScopedTensorHandle>(weights.value()); |
Matthew Sloyan | b20d1d4 | 2021-08-09 15:33:41 +0100 | [diff] [blame] | 1816 | |
| 1817 | TensorInfo weightsInfo = weightsLayer->m_LayerOutput->GetTensorInfo(); |
| 1818 | weightsInfo.SetConstant(); |
| 1819 | |
| 1820 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1821 | } |
| 1822 | else if (fullyConnectedDescriptor.m_ConstantWeights) |
| 1823 | { |
| 1824 | throw InvalidArgumentException("AddFullyConnectedLayer: Constant weights tensor is empty."); |
| 1825 | } |
| 1826 | |
| 1827 | // Add a constant layer for biases |
| 1828 | if (biases.has_value() && fullyConnectedDescriptor.m_BiasEnabled) |
| 1829 | { |
| 1830 | biasLayer = m_Graph->AddLayer<ConstantLayer>("Biases"); |
| 1831 | biasLayer->m_LayerOutput = std::make_shared<ScopedTensorHandle>(biases.value()); |
Matthew Sloyan | b20d1d4 | 2021-08-09 15:33:41 +0100 | [diff] [blame] | 1832 | |
| 1833 | TensorInfo biasInfo = biasLayer->m_LayerOutput->GetTensorInfo(); |
| 1834 | biasInfo.SetConstant(); |
| 1835 | |
| 1836 | biasLayer->GetOutputSlot(0).SetTensorInfo(biasInfo); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1837 | } |
| 1838 | |
| 1839 | if (numInputs < 2) |
| 1840 | { |
| 1841 | throw InvalidArgumentException("AddFullyConnectedLayer: Requires at least 2 input tensors: Input, Weights"); |
| 1842 | } |
| 1843 | |
| 1844 | auto layer = m_Graph->AddLayer<FullyConnectedLayer>(fullyConnectedDescriptor, name); |
| 1845 | |
| 1846 | if (weightsLayer) |
| 1847 | { |
| 1848 | // Connect weights layer |
| 1849 | weightsLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(1)); |
| 1850 | } |
| 1851 | |
| 1852 | if ( fullyConnectedDescriptor.m_BiasEnabled && numInputs == 3 ) |
| 1853 | { |
| 1854 | if (biasLayer) |
| 1855 | { |
| 1856 | // Connect bias layer |
| 1857 | biasLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(2)); |
| 1858 | } |
| 1859 | } |
| 1860 | else if ( !fullyConnectedDescriptor.m_BiasEnabled && numInputs == 2 ) |
| 1861 | { |
| 1862 | // Bias is disabled |
| 1863 | layer->m_Bias = nullptr; |
| 1864 | } |
| 1865 | else |
| 1866 | { |
| 1867 | throw InvalidArgumentException(fmt::format( |
| 1868 | "AddFullyConnectedLayer: Value mismatch. When bias is enabled in the " |
| 1869 | "descriptor the number of inputs is expected to be 3 otherwise 2. " |
| 1870 | "BiasEnabled={}, numInputs={}", |
| 1871 | fullyConnectedDescriptor.m_BiasEnabled, |
| 1872 | numInputs)); |
| 1873 | } |
| 1874 | |
| 1875 | return layer; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1876 | } |
| 1877 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1878 | IConnectableLayer* NetworkImpl::AddConcatLayer(const ConcatDescriptor& concatDescriptor, |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1879 | const char* name) |
| 1880 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1881 | return m_Graph->AddLayer<ConcatLayer>(concatDescriptor, name); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1882 | } |
| 1883 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1884 | IConnectableLayer* NetworkImpl::AddConvolution2dLayerImpl(const Convolution2dDescriptor& convolution2dDescriptor, |
| 1885 | const ConstTensor& weights, |
| 1886 | const Optional<ConstTensor>& biases, |
| 1887 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1888 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1889 | if (convolution2dDescriptor.m_BiasEnabled && !biases.has_value()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1890 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1891 | throw InvalidArgumentException("AddConvolution2dLayer: biases cannot be empty"); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1892 | } |
| 1893 | |
| 1894 | const auto layer = m_Graph->AddLayer<Convolution2dLayer>(convolution2dDescriptor, name); |
| 1895 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1896 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1897 | |
| 1898 | if (convolution2dDescriptor.m_BiasEnabled) |
| 1899 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1900 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1901 | } |
| 1902 | |
| 1903 | return layer; |
| 1904 | } |
| 1905 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1906 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1907 | const ConstTensor& weights, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1908 | const Optional<ConstTensor>& biases, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1909 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1910 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1911 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1912 | } |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1913 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1914 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1915 | const ConstTensor& weights, |
| 1916 | const char* name) |
| 1917 | { |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 1918 | Optional<ConstTensor> biases; |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1919 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
| 1920 | } |
| 1921 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1922 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1923 | const ConstTensor& weights, |
| 1924 | const ConstTensor& biases, |
| 1925 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1926 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1927 | Optional<ConstTensor> optionalBiases(biases); |
| 1928 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, optionalBiases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1929 | } |
| 1930 | |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 1931 | IConnectableLayer* NetworkImpl::AddConvolution3dLayer(const Convolution3dDescriptor& convolution3dDescriptor, |
| 1932 | const ConstTensor& weights, |
| 1933 | const Optional<ConstTensor>& biases, |
| 1934 | const char* name) |
| 1935 | { |
| 1936 | if (convolution3dDescriptor.m_BiasEnabled && !biases.has_value()) |
| 1937 | { |
| 1938 | throw InvalidArgumentException("AddConvolution2dLayer: biases cannot be empty"); |
| 1939 | } |
| 1940 | |
| 1941 | const auto layer = m_Graph->AddLayer<Convolution3dLayer>(convolution3dDescriptor, name); |
| 1942 | |
| 1943 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); |
| 1944 | |
| 1945 | if (convolution3dDescriptor.m_BiasEnabled) |
| 1946 | { |
| 1947 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
| 1948 | } |
| 1949 | |
| 1950 | return layer; |
| 1951 | } |
| 1952 | |
| 1953 | IConnectableLayer* NetworkImpl::AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor, |
| 1954 | const char* name) |
| 1955 | { |
| 1956 | return m_Graph->AddLayer<DepthToSpaceLayer>(depthToSpaceDescriptor, name); |
| 1957 | } |
| 1958 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1959 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayerImpl( |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 1960 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1961 | const ConstTensor& weights, |
| 1962 | const Optional<ConstTensor>& biases, |
| 1963 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1964 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1965 | if (convolution2dDescriptor.m_BiasEnabled && !biases.has_value()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1966 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1967 | throw InvalidArgumentException("AddDepthwiseConvolution2dLayer: biases cannot be empty"); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1968 | } |
| 1969 | |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 1970 | const auto layer = m_Graph->AddLayer<DepthwiseConvolution2dLayer>(convolution2dDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1971 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1972 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1973 | |
| 1974 | if (convolution2dDescriptor.m_BiasEnabled) |
| 1975 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1976 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1977 | } |
| 1978 | |
| 1979 | return layer; |
| 1980 | } |
| 1981 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1982 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayer( |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1983 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1984 | const ConstTensor& weights, |
| 1985 | const Optional<ConstTensor>& biases, |
| 1986 | const char* name) |
| 1987 | { |
| 1988 | return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
| 1989 | } |
| 1990 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1991 | IConnectableLayer* NetworkImpl::AddDetectionPostProcessLayer(const armnn::DetectionPostProcessDescriptor& descriptor, |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 1992 | const ConstTensor& anchors, const char* name) |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 1993 | { |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 1994 | const auto layer = m_Graph->AddLayer<DetectionPostProcessLayer>(descriptor, name); |
| 1995 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1996 | layer->m_Anchors = std::make_shared<ScopedTensorHandle>(anchors); |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 1997 | |
| 1998 | return layer; |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 1999 | } |
| 2000 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2001 | IConnectableLayer* NetworkImpl::AddPermuteLayer(const PermuteDescriptor& permuteDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2002 | const char* name) |
| 2003 | { |
| 2004 | return m_Graph->AddLayer<PermuteLayer>(permuteDescriptor, name); |
| 2005 | } |
| 2006 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2007 | IConnectableLayer* NetworkImpl::AddPooling2dLayer(const Pooling2dDescriptor& pooling2dDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2008 | const char* name) |
| 2009 | { |
| 2010 | return m_Graph->AddLayer<Pooling2dLayer>(pooling2dDescriptor, name); |
| 2011 | } |
| 2012 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2013 | IConnectableLayer* NetworkImpl::AddActivationLayer(const ActivationDescriptor& activationDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2014 | const char* name) |
| 2015 | { |
| 2016 | return m_Graph->AddLayer<ActivationLayer>(activationDescriptor, name); |
| 2017 | } |
| 2018 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2019 | IConnectableLayer* NetworkImpl::AddArgMinMaxLayer(const ArgMinMaxDescriptor& argMinMaxDescriptor, |
Nikhil Raj | ee391d5 | 2019-09-05 17:50:44 +0100 | [diff] [blame] | 2020 | const char* name) |
| 2021 | { |
| 2022 | return m_Graph->AddLayer<ArgMinMaxLayer>(argMinMaxDescriptor, name); |
| 2023 | } |
| 2024 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2025 | IConnectableLayer* NetworkImpl::AddNormalizationLayer(const NormalizationDescriptor& |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2026 | normalizationDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2027 | const char* name) |
| 2028 | { |
| 2029 | return m_Graph->AddLayer<NormalizationLayer>(normalizationDescriptor, name); |
| 2030 | } |
| 2031 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2032 | IConnectableLayer* NetworkImpl::AddSliceLayer(const SliceDescriptor& sliceDescriptor, const char* name) |
Aron Virginas-Tar | 636ab40 | 2019-09-16 14:27:45 +0100 | [diff] [blame] | 2033 | { |
| 2034 | return m_Graph->AddLayer<SliceLayer>(sliceDescriptor, name); |
| 2035 | } |
| 2036 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2037 | IConnectableLayer* NetworkImpl::AddSoftmaxLayer(const SoftmaxDescriptor& softmaxDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2038 | const char* name) |
| 2039 | { |
| 2040 | return m_Graph->AddLayer<SoftmaxLayer>(softmaxDescriptor, name); |
| 2041 | } |
| 2042 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2043 | IConnectableLayer* NetworkImpl::AddSplitterLayer(const ViewsDescriptor& splitterDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2044 | const char* name) |
| 2045 | { |
| 2046 | return m_Graph->AddLayer<SplitterLayer>(splitterDescriptor, name); |
| 2047 | } |
| 2048 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2049 | IConnectableLayer* NetworkImpl::AddMaximumLayer(const char* name) |
Nattapat Chaimanowong | 5a4304a | 2018-11-28 10:44:37 +0000 | [diff] [blame] | 2050 | { |
| 2051 | return m_Graph->AddLayer<MaximumLayer>(name); |
| 2052 | } |
| 2053 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2054 | IConnectableLayer* NetworkImpl::AddMinimumLayer(const char* name) |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2055 | { |
| 2056 | return m_Graph->AddLayer<MinimumLayer>(name); |
| 2057 | } |
| 2058 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2059 | IConnectableLayer* NetworkImpl::AddAdditionLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2060 | { |
| 2061 | return m_Graph->AddLayer<AdditionLayer>(name); |
| 2062 | } |
| 2063 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2064 | IConnectableLayer* NetworkImpl::AddMultiplicationLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2065 | { |
| 2066 | return m_Graph->AddLayer<MultiplicationLayer>(name); |
| 2067 | } |
| 2068 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2069 | IConnectableLayer* NetworkImpl::AddOutputLayer(LayerBindingId id, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2070 | { |
| 2071 | return m_Graph->AddLayer<OutputLayer>(id, name); |
| 2072 | } |
| 2073 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2074 | IConnectableLayer* NetworkImpl::AddBatchNormalizationLayer(const BatchNormalizationDescriptor& desc, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2075 | const ConstTensor& mean, |
| 2076 | const ConstTensor& variance, |
| 2077 | const ConstTensor& beta, |
| 2078 | const ConstTensor& gamma, |
| 2079 | const char* name) |
| 2080 | { |
| 2081 | const auto layer = m_Graph->AddLayer<BatchNormalizationLayer>(desc, name); |
| 2082 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2083 | layer->m_Mean = std::make_shared<ScopedTensorHandle>(mean); |
| 2084 | layer->m_Variance = std::make_shared<ScopedTensorHandle>(variance); |
| 2085 | layer->m_Beta = std::make_shared<ScopedTensorHandle>(beta); |
| 2086 | layer->m_Gamma = std::make_shared<ScopedTensorHandle>(gamma); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2087 | |
| 2088 | return layer; |
| 2089 | } |
| 2090 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2091 | IConnectableLayer* NetworkImpl::AddRankLayer(const char* name) |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2092 | { |
| 2093 | return m_Graph->AddLayer<RankLayer>(name); |
| 2094 | } |
| 2095 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2096 | IConnectableLayer* NetworkImpl::AddReduceLayer(const ReduceDescriptor& reduceDescriptor, |
| 2097 | const char* name) |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2098 | { |
| 2099 | return m_Graph->AddLayer<ReduceLayer>(reduceDescriptor, name); |
| 2100 | } |
| 2101 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2102 | IConnectableLayer* NetworkImpl::AddResizeLayer(const ResizeDescriptor& resizeDescriptor, const char* name) |
Teresa Charlin | a9075df | 2019-06-27 15:41:57 +0100 | [diff] [blame] | 2103 | { |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2104 | return m_Graph->AddLayer<ResizeLayer>(resizeDescriptor, name); |
Teresa Charlin | a9075df | 2019-06-27 15:41:57 +0100 | [diff] [blame] | 2105 | } |
| 2106 | |
Keith Davis | 3ae3f97 | 2021-05-21 16:33:48 +0100 | [diff] [blame] | 2107 | IConnectableLayer* NetworkImpl::AddShapeLayer(const char* name) |
| 2108 | { |
| 2109 | return m_Graph->AddLayer<ShapeLayer>(name); |
| 2110 | } |
| 2111 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2112 | IConnectableLayer* NetworkImpl::AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc, |
| 2113 | const char* name) |
Kevin May | ce5045a | 2019-10-02 14:07:47 +0100 | [diff] [blame] | 2114 | { |
| 2115 | return m_Graph->AddLayer<InstanceNormalizationLayer>(desc, name); |
| 2116 | } |
| 2117 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2118 | IConnectableLayer* NetworkImpl::AddL2NormalizationLayer(const L2NormalizationDescriptor& desc, |
| 2119 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2120 | { |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 2121 | return m_Graph->AddLayer<L2NormalizationLayer>(desc, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2122 | } |
| 2123 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2124 | IConnectableLayer* NetworkImpl::AddLogSoftmaxLayer(const LogSoftmaxDescriptor& desc, |
Aron Virginas-Tar | f982dea | 2019-10-11 14:07:53 +0100 | [diff] [blame] | 2125 | const char* name) |
| 2126 | { |
| 2127 | return m_Graph->AddLayer<LogSoftmaxLayer>(desc, name); |
| 2128 | } |
| 2129 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2130 | IConnectableLayer* NetworkImpl::AddConstantLayer(const ConstTensor& input, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2131 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2132 | auto layer = m_Graph->AddLayer<ConstantLayer>(name); |
| 2133 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2134 | layer->m_LayerOutput = std::make_shared<ScopedTensorHandle>(input); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2135 | |
| 2136 | return layer; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2137 | } |
| 2138 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2139 | IConnectableLayer* NetworkImpl::AddReshapeLayer(const ReshapeDescriptor& reshapeDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2140 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2141 | { |
| 2142 | return m_Graph->AddLayer<ReshapeLayer>(reshapeDescriptor, name); |
| 2143 | } |
| 2144 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2145 | IConnectableLayer* NetworkImpl::AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
Nattapat Chaimanowong | 207ef9a | 2018-11-02 10:57:25 +0000 | [diff] [blame] | 2146 | const char* name) |
| 2147 | { |
| 2148 | return m_Graph->AddLayer<SpaceToBatchNdLayer>(spaceToBatchNdDescriptor, name); |
| 2149 | } |
| 2150 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2151 | IConnectableLayer* NetworkImpl::AddSpaceToDepthLayer(const SpaceToDepthDescriptor& spaceToDepthDescriptor, |
Aron Virginas-Tar | 972af15 | 2019-06-11 14:14:03 +0100 | [diff] [blame] | 2152 | const char* name) |
| 2153 | { |
| 2154 | return m_Graph->AddLayer<SpaceToDepthLayer>(spaceToDepthDescriptor, name); |
| 2155 | } |
| 2156 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2157 | IConnectableLayer* NetworkImpl::AddFloorLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2158 | { |
| 2159 | return m_Graph->AddLayer<FloorLayer>(name); |
| 2160 | } |
| 2161 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2162 | IConnectableLayer* NetworkImpl::AddLstmLayer(const LstmDescriptor& descriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2163 | const LstmInputParams& params, |
| 2164 | const char* name) |
| 2165 | { |
| 2166 | const auto layer = m_Graph->AddLayer<LstmLayer>(descriptor, name); |
| 2167 | |
| 2168 | //Lstm Basic Parameters |
| 2169 | layer->m_BasicParameters.m_InputToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2170 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToForgetWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2171 | layer->m_BasicParameters.m_InputToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2172 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToCellWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2173 | layer->m_BasicParameters.m_InputToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2174 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToOutputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2175 | layer->m_BasicParameters.m_RecurrentToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2176 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToForgetWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2177 | layer->m_BasicParameters.m_RecurrentToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2178 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToCellWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2179 | layer->m_BasicParameters.m_RecurrentToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2180 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToOutputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2181 | layer->m_BasicParameters.m_ForgetGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2182 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetGateBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2183 | layer->m_BasicParameters.m_CellBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2184 | std::make_shared<ScopedTensorHandle>(*(params.m_CellBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2185 | layer->m_BasicParameters.m_OutputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2186 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputGateBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2187 | |
| 2188 | //Lstm Cifg parameters |
| 2189 | if(!descriptor.m_CifgEnabled) |
| 2190 | { |
| 2191 | if(params.m_InputToInputWeights == nullptr) |
| 2192 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2193 | throw InvalidArgumentException("AddLstmLayer: Input To Input Weights cannot be NULL " |
| 2194 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2195 | } |
| 2196 | if(params.m_RecurrentToInputWeights == nullptr) |
| 2197 | { |
| 2198 | throw InvalidArgumentException( |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2199 | "AddLstmLayer: Recurrent To Input Weights cannot be NULL " |
| 2200 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2201 | } |
| 2202 | if(params.m_InputGateBias == nullptr) |
| 2203 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2204 | throw InvalidArgumentException("AddLstmLayer: Input Gate Bias cannot be NULL " |
| 2205 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2206 | } |
| 2207 | layer->m_CifgParameters.m_InputToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2208 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToInputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2209 | layer->m_CifgParameters.m_RecurrentToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2210 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToInputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2211 | layer->m_CifgParameters.m_InputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2212 | std::make_shared<ScopedTensorHandle>(*(params.m_InputGateBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2213 | } |
| 2214 | |
| 2215 | //Lstm projection parameters |
| 2216 | if(descriptor.m_ProjectionEnabled) |
| 2217 | { |
| 2218 | if(params.m_ProjectionWeights == nullptr) |
| 2219 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2220 | throw InvalidArgumentException("AddLstmLayer: Projection Weights cannot be NULL " |
| 2221 | "when projection is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2222 | } |
| 2223 | layer->m_ProjectionParameters.m_ProjectionWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2224 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2225 | if(params.m_ProjectionBias != nullptr) |
| 2226 | { |
| 2227 | layer->m_ProjectionParameters.m_ProjectionBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2228 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2229 | } |
| 2230 | } |
| 2231 | |
| 2232 | //Lstm Peephole params |
| 2233 | if(descriptor.m_PeepholeEnabled) |
| 2234 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2235 | if(!descriptor.m_CifgEnabled) |
| 2236 | { |
| 2237 | if(params.m_CellToInputWeights == nullptr) |
| 2238 | { |
| 2239 | throw InvalidArgumentException("AddLstmLayer: Cell To Input Weights cannot be NULL " |
| 2240 | "when Peephole is enabled and CIFG disabled."); |
| 2241 | } |
| 2242 | |
| 2243 | layer->m_PeepholeParameters.m_CellToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2244 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToInputWeights)); |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2245 | } |
| 2246 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2247 | if(params.m_CellToForgetWeights == nullptr) |
| 2248 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2249 | throw InvalidArgumentException("AddLstmLayer: Cell To Forget Weights cannot be NULL " |
| 2250 | "when Peephole is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2251 | } |
| 2252 | if(params.m_CellToOutputWeights == nullptr) |
| 2253 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2254 | throw InvalidArgumentException("AddLstmLayer: Cell To Output Weights cannot be NULL " |
| 2255 | "when Peephole is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2256 | } |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2257 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2258 | layer->m_PeepholeParameters.m_CellToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2259 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToForgetWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2260 | layer->m_PeepholeParameters.m_CellToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2261 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToOutputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2262 | } |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2263 | |
| 2264 | //Lstm Layer Normalization params |
| 2265 | if(descriptor.m_LayerNormEnabled) |
| 2266 | { |
| 2267 | if(!descriptor.m_CifgEnabled) |
| 2268 | { |
| 2269 | if(params.m_InputLayerNormWeights == nullptr) |
| 2270 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2271 | throw InvalidArgumentException("AddLstmLayer: Input layer normalization weights cannot be NULL " |
| 2272 | "when layer normalization is enabled and CIFG disabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2273 | } |
| 2274 | layer->m_LayerNormParameters.m_InputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2275 | std::make_shared<ScopedTensorHandle>(*(params.m_InputLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2276 | } |
| 2277 | |
| 2278 | if(params.m_ForgetLayerNormWeights == nullptr) |
| 2279 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2280 | throw InvalidArgumentException("AddLstmLayer: Forget layer normalization weights cannot be NULL " |
| 2281 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2282 | } |
| 2283 | if(params.m_CellLayerNormWeights == nullptr) |
| 2284 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2285 | throw InvalidArgumentException("AddLstmLayer: Cell layer normalization weights cannot be NULL " |
| 2286 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2287 | } |
| 2288 | if(params.m_OutputLayerNormWeights == nullptr) |
| 2289 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2290 | throw InvalidArgumentException("AddLstmLayer: Output layer normalization weights cannot be NULL " |
| 2291 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2292 | } |
| 2293 | layer->m_LayerNormParameters.m_ForgetLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2294 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2295 | layer->m_LayerNormParameters.m_CellLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2296 | std::make_shared<ScopedTensorHandle>(*(params.m_CellLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2297 | layer->m_LayerNormParameters.m_OutputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2298 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2299 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2300 | return layer; |
| 2301 | } |
| 2302 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2303 | IConnectableLayer* NetworkImpl::AddDivisionLayer(const char* name) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2304 | { |
| 2305 | return m_Graph->AddLayer<DivisionLayer>(name); |
| 2306 | } |
| 2307 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2308 | IConnectableLayer* NetworkImpl::AddSubtractionLayer(const char* name) |
David Beck | 1952622 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2309 | { |
| 2310 | return m_Graph->AddLayer<SubtractionLayer>(name); |
| 2311 | } |
| 2312 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2313 | IConnectableLayer* NetworkImpl::AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name) |
narpra01 | 32b9046 | 2018-09-13 11:07:48 +0100 | [diff] [blame] | 2314 | { |
| 2315 | return m_Graph->AddLayer<MeanLayer>(meanDescriptor,name); |
| 2316 | } |
| 2317 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2318 | IConnectableLayer* NetworkImpl::AddPadLayer(const PadDescriptor& padDescriptor, const char* name) |
Mohamed Nour Abouelseoud | 5662c20 | 2018-09-24 13:30:09 +0100 | [diff] [blame] | 2319 | { |
| 2320 | return m_Graph->AddLayer<PadLayer>(padDescriptor,name); |
| 2321 | } |
| 2322 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2323 | IConnectableLayer *NetworkImpl::AddQuantizeLayer(const char *name) |
Derek Lamberti | a9cca6a | 2019-03-25 15:41:58 +0000 | [diff] [blame] | 2324 | { |
| 2325 | return m_Graph->AddLayer<QuantizeLayer>(name); |
| 2326 | } |
| 2327 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2328 | IConnectableLayer* NetworkImpl::AddDequantizeLayer(const char* name) |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 2329 | { |
| 2330 | return m_Graph->AddLayer<DequantizeLayer>(name); |
| 2331 | } |
| 2332 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2333 | IConnectableLayer* NetworkImpl::AddStridedSliceLayer(const StridedSliceDescriptor& stridedSliceDescriptor, |
Conor Kennedy | 430b5d8 | 2018-11-14 15:28:28 +0000 | [diff] [blame] | 2334 | const char* name) |
| 2335 | { |
| 2336 | return m_Graph->AddLayer<StridedSliceLayer>(stridedSliceDescriptor, name); |
| 2337 | } |
| 2338 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2339 | IConnectableLayer* NetworkImpl::AddGatherLayer(const GatherDescriptor& gatherDescriptor, |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 2340 | const char* name) |
| 2341 | { |
| 2342 | return m_Graph->AddLayer<GatherLayer>(gatherDescriptor, name); |
narpra01 | b89b05f | 2019-01-16 09:53:09 +0000 | [diff] [blame] | 2343 | } |
| 2344 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2345 | IConnectableLayer* NetworkImpl::AddMergeLayer(const char* name) |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 2346 | { |
| 2347 | return m_Graph->AddLayer<MergeLayer>(name); |
| 2348 | } |
| 2349 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2350 | IConnectableLayer* NetworkImpl::AddSwitchLayer(const char* name) |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2351 | { |
| 2352 | return m_Graph->AddLayer<SwitchLayer>(name); |
| 2353 | } |
| 2354 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2355 | IConnectableLayer* NetworkImpl::AddPreluLayer(const char* name) |
Matteo Martincigh | 0e406ee | 2019-06-12 15:42:18 +0100 | [diff] [blame] | 2356 | { |
| 2357 | return m_Graph->AddLayer<PreluLayer>(name); |
| 2358 | } |
| 2359 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2360 | IConnectableLayer* NetworkImpl::AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& descriptor, |
Aron Virginas-Tar | 639fb04 | 2019-06-20 14:28:19 +0100 | [diff] [blame] | 2361 | const ConstTensor& weights, |
| 2362 | const Optional<ConstTensor>& biases, |
| 2363 | const char* name) |
| 2364 | { |
| 2365 | if (descriptor.m_BiasEnabled && !biases.has_value()) |
| 2366 | { |
| 2367 | throw InvalidArgumentException("AddTransposeConvolution2dLayer: Biases cannot be empty"); |
| 2368 | } |
| 2369 | |
| 2370 | const auto layer = m_Graph->AddLayer<TransposeConvolution2dLayer>(descriptor, name); |
| 2371 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2372 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); |
Aron Virginas-Tar | 639fb04 | 2019-06-20 14:28:19 +0100 | [diff] [blame] | 2373 | |
| 2374 | if (descriptor.m_BiasEnabled) |
| 2375 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2376 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
Aron Virginas-Tar | 639fb04 | 2019-06-20 14:28:19 +0100 | [diff] [blame] | 2377 | } |
| 2378 | |
| 2379 | return layer; |
| 2380 | } |
| 2381 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2382 | IConnectableLayer* NetworkImpl::AddTransposeLayer(const TransposeDescriptor& transposeDescriptor, |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2383 | const char* name) |
| 2384 | { |
| 2385 | return m_Graph->AddLayer<TransposeLayer>(transposeDescriptor, name); |
| 2386 | } |
| 2387 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2388 | IConnectableLayer* NetworkImpl::AddStackLayer(const StackDescriptor& stackDescriptor, |
Matthew Jackson | 2b8c1da | 2019-07-04 14:59:16 +0100 | [diff] [blame] | 2389 | const char* name) |
| 2390 | { |
| 2391 | return m_Graph->AddLayer<StackLayer>(stackDescriptor, name); |
| 2392 | } |
| 2393 | |
Derek Lamberti | 013c390 | 2019-10-21 10:46:16 +0100 | [diff] [blame] | 2394 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2395 | IConnectableLayer* NetworkImpl::AddStandInLayer(const StandInDescriptor& desc, |
Derek Lamberti | 013c390 | 2019-10-21 10:46:16 +0100 | [diff] [blame] | 2396 | const char* name) |
| 2397 | { |
| 2398 | return m_Graph->AddLayer<StandInLayer>(desc, name); |
| 2399 | } |
| 2400 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2401 | IConnectableLayer* NetworkImpl::AddQuantizedLstmLayer(const QuantizedLstmInputParams& params, |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2402 | const char* name) |
| 2403 | { |
| 2404 | const auto layer = m_Graph->AddLayer<QuantizedLstmLayer>(name); |
| 2405 | |
| 2406 | // InputToX weights |
| 2407 | layer->m_QuantizedLstmParameters.m_InputToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2408 | std::make_shared<ScopedTensorHandle>(params.GetInputToInputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2409 | layer->m_QuantizedLstmParameters.m_InputToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2410 | std::make_shared<ScopedTensorHandle>(params.GetInputToForgetWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2411 | layer->m_QuantizedLstmParameters.m_InputToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2412 | std::make_shared<ScopedTensorHandle>(params.GetInputToCellWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2413 | layer->m_QuantizedLstmParameters.m_InputToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2414 | std::make_shared<ScopedTensorHandle>(params.GetInputToOutputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2415 | |
| 2416 | // RecurrentToX weights |
| 2417 | layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2418 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToInputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2419 | layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2420 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToForgetWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2421 | layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2422 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToCellWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2423 | layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2424 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToOutputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2425 | |
| 2426 | // Bias |
| 2427 | layer->m_QuantizedLstmParameters.m_InputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2428 | std::make_shared<ScopedTensorHandle>(params.GetInputGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2429 | layer->m_QuantizedLstmParameters.m_ForgetGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2430 | std::make_shared<ScopedTensorHandle>(params.GetForgetGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2431 | layer->m_QuantizedLstmParameters.m_CellBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2432 | std::make_shared<ScopedTensorHandle>(params.GetCellBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2433 | layer->m_QuantizedLstmParameters.m_OutputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2434 | std::make_shared<ScopedTensorHandle>(params.GetOutputGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2435 | |
| 2436 | return layer; |
| 2437 | } |
| 2438 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2439 | IConnectableLayer* NetworkImpl::AddQLstmLayer(const QLstmDescriptor& descriptor, |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2440 | const LstmInputParams& params, |
| 2441 | const char* name) |
| 2442 | { |
| 2443 | const auto layer = m_Graph->AddLayer<QLstmLayer>(descriptor, name); |
| 2444 | |
| 2445 | // QLstm Basic Parameters |
| 2446 | layer->m_BasicParameters.m_InputToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2447 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToForgetWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2448 | layer->m_BasicParameters.m_InputToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2449 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToCellWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2450 | layer->m_BasicParameters.m_InputToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2451 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToOutputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2452 | layer->m_BasicParameters.m_RecurrentToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2453 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToForgetWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2454 | layer->m_BasicParameters.m_RecurrentToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2455 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToCellWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2456 | layer->m_BasicParameters.m_RecurrentToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2457 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToOutputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2458 | layer->m_BasicParameters.m_ForgetGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2459 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetGateBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2460 | layer->m_BasicParameters.m_CellBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2461 | std::make_shared<ScopedTensorHandle>(*(params.m_CellBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2462 | layer->m_BasicParameters.m_OutputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2463 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputGateBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2464 | |
| 2465 | // QLstm Cifg parameters |
| 2466 | if(!descriptor.m_CifgEnabled) |
| 2467 | { |
| 2468 | if(params.m_InputToInputWeights == nullptr) |
| 2469 | { |
| 2470 | throw InvalidArgumentException("AddQLstmLayer: Input To Input Weights cannot be NULL"); |
| 2471 | } |
| 2472 | |
| 2473 | if(params.m_RecurrentToInputWeights == nullptr) |
| 2474 | { |
| 2475 | throw InvalidArgumentException( |
| 2476 | "AddQLstmLayer: Recurrent To Input Weights cannot be NULL"); |
| 2477 | } |
| 2478 | |
| 2479 | if(params.m_InputGateBias == nullptr) |
| 2480 | { |
| 2481 | throw InvalidArgumentException("AddQLstmLayer: Input Gate Bias cannot be NULL"); |
| 2482 | } |
| 2483 | |
| 2484 | layer->m_CifgParameters.m_InputToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2485 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToInputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2486 | layer->m_CifgParameters.m_RecurrentToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2487 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToInputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2488 | layer->m_CifgParameters.m_InputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2489 | std::make_shared<ScopedTensorHandle>(*(params.m_InputGateBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2490 | } |
| 2491 | |
| 2492 | // QLstm Projection parameters |
| 2493 | if(descriptor.m_ProjectionEnabled) |
| 2494 | { |
| 2495 | if(params.m_ProjectionWeights == nullptr) |
| 2496 | { |
| 2497 | throw InvalidArgumentException("AddQLstmLayer: Projection Weights cannot be NULL"); |
| 2498 | } |
| 2499 | |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2500 | layer->m_ProjectionParameters.m_ProjectionWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2501 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionWeights)); |
James Conroy | ed32405 | 2020-05-18 15:16:42 +0100 | [diff] [blame] | 2502 | |
| 2503 | // Projection bias is optional even if projection is enabled |
| 2504 | if(params.m_ProjectionWeights != nullptr) |
| 2505 | { |
| 2506 | layer->m_ProjectionParameters.m_ProjectionBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2507 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionBias)); |
James Conroy | ed32405 | 2020-05-18 15:16:42 +0100 | [diff] [blame] | 2508 | } |
| 2509 | |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2510 | } |
| 2511 | |
| 2512 | // QLstm Peephole params |
| 2513 | if(descriptor.m_PeepholeEnabled) |
| 2514 | { |
| 2515 | if(params.m_CellToForgetWeights == nullptr) |
| 2516 | { |
| 2517 | throw InvalidArgumentException("AddQLstmLayer: Cell To Forget Weights cannot be NULL"); |
| 2518 | } |
| 2519 | |
| 2520 | if(params.m_CellToOutputWeights == nullptr) |
| 2521 | { |
| 2522 | throw InvalidArgumentException("AddQLstmLayer: Cell To Output Weights cannot be NULL"); |
| 2523 | } |
| 2524 | |
| 2525 | if(!descriptor.m_CifgEnabled) |
| 2526 | { |
| 2527 | if(params.m_CellToInputWeights == nullptr) |
| 2528 | { |
| 2529 | throw InvalidArgumentException("AddQLstmLayer: Cell To Input Weights cannot be NULL"); |
| 2530 | } |
| 2531 | |
| 2532 | layer->m_PeepholeParameters.m_CellToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2533 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToInputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2534 | } |
| 2535 | |
| 2536 | layer->m_PeepholeParameters.m_CellToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2537 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToForgetWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2538 | layer->m_PeepholeParameters.m_CellToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2539 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToOutputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2540 | } |
| 2541 | |
| 2542 | // QLstm Layer Normalization params |
| 2543 | if(descriptor.m_LayerNormEnabled) |
| 2544 | { |
| 2545 | if(params.m_ForgetLayerNormWeights == nullptr) |
| 2546 | { |
| 2547 | throw InvalidArgumentException("AddQLstmLayer: Forget layer normalization weights cannot be NULL"); |
| 2548 | } |
| 2549 | |
| 2550 | if(params.m_CellLayerNormWeights == nullptr) |
| 2551 | { |
| 2552 | throw InvalidArgumentException("AddQLstmLayer: Cell layer normalization weights cannot be NULL"); |
| 2553 | } |
| 2554 | |
| 2555 | if(params.m_OutputLayerNormWeights == nullptr) |
| 2556 | { |
| 2557 | throw InvalidArgumentException("AddQLstmLayer: Output layer normalization weights cannot be NULL"); |
| 2558 | } |
| 2559 | |
| 2560 | if(!descriptor.m_CifgEnabled) |
| 2561 | { |
| 2562 | if(params.m_InputLayerNormWeights == nullptr) |
| 2563 | { |
| 2564 | throw InvalidArgumentException("AddQLstmLayer: Input layer normalization weights cannot be NULL"); |
| 2565 | } |
| 2566 | |
| 2567 | layer->m_LayerNormParameters.m_InputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2568 | std::make_shared<ScopedTensorHandle>(*(params.m_InputLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2569 | } |
| 2570 | |
| 2571 | layer->m_LayerNormParameters.m_ForgetLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2572 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2573 | layer->m_LayerNormParameters.m_CellLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2574 | std::make_shared<ScopedTensorHandle>(*(params.m_CellLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2575 | layer->m_LayerNormParameters.m_OutputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2576 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2577 | } |
| 2578 | return layer; |
| 2579 | } |
| 2580 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2581 | IConnectableLayer* NetworkImpl::AddLogicalBinaryLayer(const LogicalBinaryDescriptor& logicalBinaryDescriptor, |
Narumol Prangnawarat | 8ed39ae | 2021-07-15 16:16:25 +0100 | [diff] [blame] | 2582 | const char* name) |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 2583 | { |
| 2584 | return m_Graph->AddLayer<LogicalBinaryLayer>(logicalBinaryDescriptor, name); |
| 2585 | } |
| 2586 | |
Narumol Prangnawarat | 8ed39ae | 2021-07-15 16:16:25 +0100 | [diff] [blame] | 2587 | IConnectableLayer* NetworkImpl::AddUnidirectionalSequenceLstmLayer( |
| 2588 | const UnidirectionalSequenceLstmDescriptor& descriptor, |
| 2589 | const LstmInputParams& params, |
| 2590 | const char* name) |
| 2591 | { |
| 2592 | const auto layer = m_Graph->AddLayer<UnidirectionalSequenceLstmLayer>(descriptor, name); |
| 2593 | |
| 2594 | //Lstm Basic Parameters |
| 2595 | layer->m_BasicParameters.m_InputToForgetWeights = |
| 2596 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToForgetWeights)); |
| 2597 | layer->m_BasicParameters.m_InputToCellWeights = |
| 2598 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToCellWeights)); |
| 2599 | layer->m_BasicParameters.m_InputToOutputWeights = |
| 2600 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToOutputWeights)); |
| 2601 | layer->m_BasicParameters.m_RecurrentToForgetWeights = |
| 2602 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToForgetWeights)); |
| 2603 | layer->m_BasicParameters.m_RecurrentToCellWeights = |
| 2604 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToCellWeights)); |
| 2605 | layer->m_BasicParameters.m_RecurrentToOutputWeights = |
| 2606 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToOutputWeights)); |
| 2607 | layer->m_BasicParameters.m_ForgetGateBias = |
| 2608 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetGateBias)); |
| 2609 | layer->m_BasicParameters.m_CellBias = |
| 2610 | std::make_shared<ScopedTensorHandle>(*(params.m_CellBias)); |
| 2611 | layer->m_BasicParameters.m_OutputGateBias = |
| 2612 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputGateBias)); |
| 2613 | |
| 2614 | //Lstm Cifg parameters |
| 2615 | if(!descriptor.m_CifgEnabled) |
| 2616 | { |
| 2617 | if(params.m_InputToInputWeights == nullptr) |
| 2618 | { |
| 2619 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Input To Input Weights cannot be NULL " |
| 2620 | "when CIFG is disabled."); |
| 2621 | } |
| 2622 | if(params.m_RecurrentToInputWeights == nullptr) |
| 2623 | { |
| 2624 | throw InvalidArgumentException( |
| 2625 | "AddUnidirectionalSequenceLstmLayer: Recurrent To Input Weights cannot be NULL " |
| 2626 | "when CIFG is disabled."); |
| 2627 | } |
| 2628 | if(params.m_InputGateBias == nullptr) |
| 2629 | { |
| 2630 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Input Gate Bias cannot be NULL " |
| 2631 | "when CIFG is disabled."); |
| 2632 | } |
| 2633 | layer->m_CifgParameters.m_InputToInputWeights = |
| 2634 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToInputWeights)); |
| 2635 | layer->m_CifgParameters.m_RecurrentToInputWeights = |
| 2636 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToInputWeights)); |
| 2637 | layer->m_CifgParameters.m_InputGateBias = |
| 2638 | std::make_shared<ScopedTensorHandle>(*(params.m_InputGateBias)); |
| 2639 | } |
| 2640 | |
| 2641 | //Lstm projection parameters |
| 2642 | if(descriptor.m_ProjectionEnabled) |
| 2643 | { |
| 2644 | if(params.m_ProjectionWeights == nullptr) |
| 2645 | { |
| 2646 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Projection Weights cannot be NULL " |
| 2647 | "when projection is enabled."); |
| 2648 | } |
| 2649 | layer->m_ProjectionParameters.m_ProjectionWeights = |
| 2650 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionWeights)); |
| 2651 | if(params.m_ProjectionBias != nullptr) |
| 2652 | { |
| 2653 | layer->m_ProjectionParameters.m_ProjectionBias = |
| 2654 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionBias)); |
| 2655 | } |
| 2656 | } |
| 2657 | |
| 2658 | //Lstm Peephole params |
| 2659 | if(descriptor.m_PeepholeEnabled) |
| 2660 | { |
| 2661 | if(!descriptor.m_CifgEnabled) |
| 2662 | { |
| 2663 | if(params.m_CellToInputWeights == nullptr) |
| 2664 | { |
| 2665 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Cell To Input Weights " |
| 2666 | "cannot be NULL when Peephole is enabled and CIFG disabled."); |
| 2667 | } |
| 2668 | |
| 2669 | layer->m_PeepholeParameters.m_CellToInputWeights = |
| 2670 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToInputWeights)); |
| 2671 | } |
| 2672 | |
| 2673 | if(params.m_CellToForgetWeights == nullptr) |
| 2674 | { |
| 2675 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Cell To Forget Weights cannot be NULL " |
| 2676 | "when Peephole is enabled."); |
| 2677 | } |
| 2678 | if(params.m_CellToOutputWeights == nullptr) |
| 2679 | { |
| 2680 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Cell To Output Weights cannot be NULL " |
| 2681 | "when Peephole is enabled."); |
| 2682 | } |
| 2683 | |
| 2684 | layer->m_PeepholeParameters.m_CellToForgetWeights = |
| 2685 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToForgetWeights)); |
| 2686 | layer->m_PeepholeParameters.m_CellToOutputWeights = |
| 2687 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToOutputWeights)); |
| 2688 | } |
| 2689 | |
| 2690 | //Lstm Layer Normalization params |
| 2691 | if(descriptor.m_LayerNormEnabled) |
| 2692 | { |
| 2693 | if(!descriptor.m_CifgEnabled) |
| 2694 | { |
| 2695 | if(params.m_InputLayerNormWeights == nullptr) |
| 2696 | { |
| 2697 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Input layer normalization weights " |
| 2698 | "cannot be NULL when layer normalization is enabled and CIFG disabled."); |
| 2699 | } |
| 2700 | layer->m_LayerNormParameters.m_InputLayerNormWeights = |
| 2701 | std::make_shared<ScopedTensorHandle>(*(params.m_InputLayerNormWeights)); |
| 2702 | } |
| 2703 | |
| 2704 | if(params.m_ForgetLayerNormWeights == nullptr) |
| 2705 | { |
| 2706 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Forget layer normalization weights " |
| 2707 | "cannot be NULL when layer normalization is enabled."); |
| 2708 | } |
| 2709 | if(params.m_CellLayerNormWeights == nullptr) |
| 2710 | { |
| 2711 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Cell layer normalization weights " |
| 2712 | "cannot be NULL when layer normalization is enabled."); |
| 2713 | } |
| 2714 | if(params.m_OutputLayerNormWeights == nullptr) |
| 2715 | { |
| 2716 | throw InvalidArgumentException("AddUnidirectionalSequenceLstmLayer: Output layer normalization weights " |
| 2717 | "cannot be NULL when layer normalization is enabled."); |
| 2718 | } |
| 2719 | layer->m_LayerNormParameters.m_ForgetLayerNormWeights = |
| 2720 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetLayerNormWeights)); |
| 2721 | layer->m_LayerNormParameters.m_CellLayerNormWeights = |
| 2722 | std::make_shared<ScopedTensorHandle>(*(params.m_CellLayerNormWeights)); |
| 2723 | layer->m_LayerNormParameters.m_OutputLayerNormWeights = |
| 2724 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputLayerNormWeights)); |
| 2725 | } |
| 2726 | return layer; |
| 2727 | } |
| 2728 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2729 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2730 | void NetworkImpl::Accept(ILayerVisitor& visitor) const |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 2731 | { |
| 2732 | for (auto layer : GetGraph()) |
| 2733 | { |
| 2734 | layer->Accept(visitor); |
| 2735 | }; |
| 2736 | } |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2737 | ARMNN_NO_DEPRECATE_WARN_END |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 2738 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2739 | void NetworkImpl::ExecuteStrategy(IStrategy& strategy) const |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2740 | { |
| 2741 | for (auto layer : GetGraph()) |
| 2742 | { |
| 2743 | layer->ExecuteStrategy(strategy); |
| 2744 | }; |
| 2745 | } |
| 2746 | |
Mike Kelly | 0d677db | 2021-06-27 22:39:21 +0100 | [diff] [blame] | 2747 | OptimizedNetworkImpl::OptimizedNetworkImpl(const OptimizedNetworkImpl& other, const ModelOptions& modelOptions) |
| 2748 | : m_Graph(new Graph(*other.m_Graph.get())) |
| 2749 | , m_Guid(profiling::ProfilingService::GetNextGuid()) |
| 2750 | , m_ModelOptions(modelOptions) |
| 2751 | { |
| 2752 | } |
| 2753 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2754 | OptimizedNetworkImpl::OptimizedNetworkImpl(std::unique_ptr<Graph> graph) |
Sadik Armagan | 3184c90 | 2020-03-18 10:57:30 +0000 | [diff] [blame] | 2755 | : m_Graph(std::move(graph)), m_Guid(profiling::ProfilingService::GetNextGuid()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2756 | { |
| 2757 | } |
| 2758 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2759 | OptimizedNetworkImpl::OptimizedNetworkImpl(std::unique_ptr<Graph> graph, const ModelOptions& modelOptions) |
Sadik Armagan | 045f6be | 2020-09-10 13:37:32 +0100 | [diff] [blame] | 2760 | : m_Graph(std::move(graph)), m_Guid(profiling::ProfilingService::GetNextGuid()), m_ModelOptions(modelOptions) |
| 2761 | { |
| 2762 | } |
| 2763 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2764 | OptimizedNetworkImpl::~OptimizedNetworkImpl() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2765 | { |
| 2766 | } |
| 2767 | |
| 2768 | } // namespace armnn |