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 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 33 | #include <fcntl.h> |
| 34 | #include <algorithm> |
| 35 | #include <fstream> |
| 36 | #include <memory> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 37 | #include <vector> |
| 38 | #include <algorithm> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 39 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 40 | namespace armnn |
| 41 | { |
| 42 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 43 | INetwork::INetwork(NetworkOptions networkOptions) : pNetworkImpl(new NetworkImpl(networkOptions)) {} |
| 44 | |
| 45 | INetwork::~INetwork() = default; |
| 46 | |
| 47 | Status INetwork::PrintGraph() |
| 48 | { |
| 49 | return pNetworkImpl->PrintGraph(); |
| 50 | } |
| 51 | |
| 52 | IConnectableLayer* INetwork::AddInputLayer(LayerBindingId id, const char* name) |
| 53 | { |
| 54 | return pNetworkImpl->AddInputLayer(id, name); |
| 55 | } |
| 56 | |
| 57 | |
| 58 | IConnectableLayer* INetwork::AddArgMinMaxLayer(const ArgMinMaxDescriptor& desc, |
| 59 | const char* name) |
| 60 | { |
| 61 | return pNetworkImpl->AddArgMinMaxLayer(desc, name); |
| 62 | } |
| 63 | |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 64 | IConnectableLayer* INetwork::AddCastLayer(const char* name) |
| 65 | { |
| 66 | return pNetworkImpl->AddCastLayer(name); |
| 67 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 68 | |
| 69 | IConnectableLayer* INetwork::AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor, |
| 70 | const char* name) |
| 71 | { |
| 72 | return pNetworkImpl->AddComparisonLayer(comparisonDescriptor, name); |
| 73 | } |
| 74 | |
| 75 | |
| 76 | IConnectableLayer* INetwork::AddConcatLayer(const ConcatDescriptor& concatDescriptor, |
| 77 | const char* name) |
| 78 | { |
| 79 | return pNetworkImpl->AddConcatLayer(concatDescriptor, name); |
| 80 | } |
| 81 | |
| 82 | |
| 83 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 84 | const ConstTensor& weights, |
| 85 | const Optional<ConstTensor>& biases, |
| 86 | const char* name) |
| 87 | { |
| 88 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 89 | } |
| 90 | |
| 91 | |
| 92 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 93 | const ConstTensor& weights, |
| 94 | const char* name) |
| 95 | { |
| 96 | Optional<ConstTensor> biases; |
| 97 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 98 | } |
| 99 | |
| 100 | |
| 101 | IConnectableLayer* INetwork::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
| 102 | const ConstTensor& weights, |
| 103 | const ConstTensor& biases, |
| 104 | const char* name ) |
| 105 | { |
| 106 | |
| 107 | return pNetworkImpl->AddConvolution2dLayer(convolution2dDescriptor, |
| 108 | weights, |
| 109 | armnn::Optional<ConstTensor>(biases), |
| 110 | name); |
| 111 | } |
| 112 | |
| 113 | |
| 114 | IConnectableLayer* INetwork::AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor, |
| 115 | const char* name) |
| 116 | { |
| 117 | return pNetworkImpl->AddDepthToSpaceLayer(depthToSpaceDescriptor, name); |
| 118 | } |
| 119 | |
| 120 | |
| 121 | IConnectableLayer* INetwork::AddDepthwiseConvolution2dLayer( |
| 122 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 123 | const ConstTensor& weights, |
| 124 | const Optional<ConstTensor>& biases, |
| 125 | const char* name) |
| 126 | { |
| 127 | return pNetworkImpl->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 128 | } |
| 129 | |
| 130 | |
| 131 | IConnectableLayer* INetwork::AddDepthwiseConvolution2dLayer( |
| 132 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 133 | const ConstTensor& weights, |
| 134 | const char* name) |
| 135 | { |
| 136 | Optional<ConstTensor> biases; |
| 137 | return pNetworkImpl->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights, biases, name); |
| 138 | } |
| 139 | |
| 140 | |
| 141 | IConnectableLayer* INetwork::AddDepthwiseConvolution2dLayer( |
| 142 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 143 | const ConstTensor& weights, |
| 144 | const ConstTensor& biases, |
| 145 | const char* name) |
| 146 | { |
| 147 | return pNetworkImpl->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights, |
| 148 | armnn::Optional<ConstTensor>(biases), name); |
| 149 | } |
| 150 | |
| 151 | |
| 152 | IConnectableLayer* INetwork::AddDequantizeLayer(const char* name) |
| 153 | { |
| 154 | return pNetworkImpl->AddDequantizeLayer(name); |
| 155 | } |
| 156 | |
| 157 | |
| 158 | IConnectableLayer* INetwork::AddDetectionPostProcessLayer( |
| 159 | const DetectionPostProcessDescriptor& descriptor, |
| 160 | const ConstTensor& anchors, |
| 161 | const char* name) |
| 162 | { |
| 163 | return pNetworkImpl->AddDetectionPostProcessLayer(descriptor, anchors, name); |
| 164 | } |
| 165 | |
| 166 | |
| 167 | IConnectableLayer* INetwork::AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& elementwiseUnaryDescriptor, |
| 168 | const char* name) |
| 169 | { |
| 170 | return pNetworkImpl->AddElementwiseUnaryLayer(elementwiseUnaryDescriptor, name); |
| 171 | } |
| 172 | |
| 173 | |
| 174 | IConnectableLayer* INetwork::AddFillLayer(const FillDescriptor& fillDescriptor, |
| 175 | const char* name) |
| 176 | { |
| 177 | return pNetworkImpl->AddFillLayer(fillDescriptor, name); |
| 178 | } |
| 179 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 180 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
| 181 | const ConstTensor& weights, |
| 182 | const Optional<ConstTensor>& biases, |
| 183 | const char* name) |
| 184 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 185 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, |
| 186 | armnn::Optional<ConstTensor>(weights), |
| 187 | biases, |
| 188 | name); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 189 | } |
| 190 | |
| 191 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
| 192 | const ConstTensor& weights, |
| 193 | const char* name) |
| 194 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 195 | armnn::Optional<ConstTensor> biases; |
| 196 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, |
| 197 | armnn::Optional<ConstTensor>(weights), |
| 198 | biases, |
| 199 | name); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 200 | } |
| 201 | |
| 202 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
| 203 | const ConstTensor& weights, |
| 204 | const ConstTensor& biases, |
| 205 | const char* name) |
| 206 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 207 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, |
| 208 | armnn::Optional<ConstTensor>(weights), |
| 209 | armnn::Optional<ConstTensor>(biases), |
| 210 | name); |
| 211 | } |
| 212 | |
| 213 | IConnectableLayer* INetwork::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
| 214 | const Optional<ConstTensor>& weights, |
| 215 | const Optional<ConstTensor>& biases, |
| 216 | const char* name) |
| 217 | { |
| 218 | return pNetworkImpl->AddFullyConnectedLayer(fullyConnectedDescriptor, weights, biases, name); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 219 | } |
| 220 | |
| 221 | IConnectableLayer* INetwork::AddPermuteLayer(const PermuteDescriptor& permuteDescriptor, |
| 222 | const char* name) |
| 223 | { |
| 224 | return pNetworkImpl->AddPermuteLayer(permuteDescriptor, name); |
| 225 | } |
| 226 | |
| 227 | IConnectableLayer* INetwork::AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor& batchToSpaceNdDescriptor, |
| 228 | const char* name) |
| 229 | { |
| 230 | return pNetworkImpl->AddBatchToSpaceNdLayer(batchToSpaceNdDescriptor, name); |
| 231 | } |
| 232 | |
| 233 | IConnectableLayer* INetwork::AddPooling2dLayer(const Pooling2dDescriptor& pooling2dDescriptor, |
| 234 | const char* name) |
| 235 | { |
| 236 | return pNetworkImpl->AddPooling2dLayer(pooling2dDescriptor, name); |
| 237 | } |
| 238 | |
| 239 | IConnectableLayer* INetwork::AddActivationLayer(const ActivationDescriptor& activationDescriptor, |
| 240 | const char* name) |
| 241 | { |
| 242 | return pNetworkImpl->AddActivationLayer(activationDescriptor, name); |
| 243 | } |
| 244 | |
| 245 | IConnectableLayer* INetwork::AddNormalizationLayer(const NormalizationDescriptor& normalizationDescriptor, |
| 246 | const char* name) |
| 247 | { |
| 248 | return pNetworkImpl->AddNormalizationLayer(normalizationDescriptor, name); |
| 249 | } |
| 250 | |
| 251 | IConnectableLayer* INetwork::AddSliceLayer(const SliceDescriptor& sliceDescriptor, const char* name) |
| 252 | { |
| 253 | return pNetworkImpl->AddSliceLayer(sliceDescriptor, name); |
| 254 | } |
| 255 | IConnectableLayer* INetwork::AddSoftmaxLayer(const SoftmaxDescriptor& softmaxDescriptor, |
| 256 | const char* name) |
| 257 | { |
| 258 | return pNetworkImpl->AddSoftmaxLayer(softmaxDescriptor, name); |
| 259 | } |
| 260 | |
| 261 | IConnectableLayer* INetwork::AddSplitterLayer(const ViewsDescriptor& splitterDescriptor, |
| 262 | const char* name) |
| 263 | { |
| 264 | return pNetworkImpl->AddSplitterLayer(splitterDescriptor, name); |
| 265 | } |
| 266 | |
| 267 | IConnectableLayer* INetwork::AddMergeLayer(const char* name) |
| 268 | { |
| 269 | return pNetworkImpl->AddMergeLayer(name); |
| 270 | } |
| 271 | |
| 272 | IConnectableLayer* INetwork::AddMergerLayer(const MergerDescriptor& mergerDescriptor, |
| 273 | const char* name) |
| 274 | { |
| 275 | return pNetworkImpl->AddConcatLayer(mergerDescriptor, name); |
| 276 | } |
| 277 | |
| 278 | IConnectableLayer* INetwork::AddAbsLayer(const char* name) |
| 279 | { |
| 280 | return pNetworkImpl->AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Abs), name); |
| 281 | } |
| 282 | |
| 283 | IConnectableLayer* INetwork::AddAdditionLayer(const char* name) |
| 284 | { |
| 285 | return pNetworkImpl->AddAdditionLayer(name); |
| 286 | } |
| 287 | |
| 288 | IConnectableLayer* INetwork::AddMultiplicationLayer(const char* name) |
| 289 | { |
| 290 | return pNetworkImpl->AddMultiplicationLayer(name); |
| 291 | } |
| 292 | |
| 293 | IConnectableLayer* INetwork::AddBatchNormalizationLayer(const BatchNormalizationDescriptor& desc, |
| 294 | const ConstTensor& mean, |
| 295 | const ConstTensor& variance, |
| 296 | const ConstTensor& beta, |
| 297 | const ConstTensor& gamma, |
| 298 | const char* name) |
| 299 | { |
| 300 | return pNetworkImpl->AddBatchNormalizationLayer(desc, mean, variance, beta, gamma, name); |
| 301 | } |
| 302 | |
| 303 | IConnectableLayer* INetwork::AddRankLayer(const char* name) |
| 304 | { |
| 305 | return pNetworkImpl->AddRankLayer(name); |
| 306 | } |
| 307 | |
| 308 | IConnectableLayer* INetwork::AddResizeBilinearLayer(const ResizeBilinearDescriptor& descriptor, |
| 309 | const char* name) |
| 310 | { |
| 311 | ResizeDescriptor resizeDescriptor; |
| 312 | resizeDescriptor.m_Method = ResizeMethod::Bilinear; |
| 313 | resizeDescriptor.m_DataLayout = descriptor.m_DataLayout; |
| 314 | resizeDescriptor.m_TargetWidth = descriptor.m_TargetWidth; |
| 315 | resizeDescriptor.m_TargetHeight = descriptor.m_TargetHeight; |
| 316 | resizeDescriptor.m_AlignCorners = descriptor.m_AlignCorners; |
| 317 | resizeDescriptor.m_HalfPixelCenters = descriptor.m_HalfPixelCenters; |
| 318 | |
| 319 | return pNetworkImpl->AddResizeLayer(resizeDescriptor, name); |
| 320 | } |
| 321 | |
| 322 | IConnectableLayer* INetwork::AddResizeLayer(const ResizeDescriptor& resizeDescriptor, |
| 323 | const char* name) |
| 324 | { |
| 325 | return pNetworkImpl->AddResizeLayer(resizeDescriptor, name); |
| 326 | } |
| 327 | |
| 328 | IConnectableLayer* INetwork::AddReduceLayer(const ReduceDescriptor& reduceDescriptor, |
| 329 | const char* name) |
| 330 | { |
| 331 | return pNetworkImpl->AddReduceLayer(reduceDescriptor, name); |
| 332 | } |
| 333 | |
| 334 | IConnectableLayer* INetwork::AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc, |
| 335 | const char* name) |
| 336 | { |
| 337 | return pNetworkImpl->AddInstanceNormalizationLayer(desc, name); |
| 338 | } |
| 339 | |
| 340 | IConnectableLayer* INetwork::AddL2NormalizationLayer(const L2NormalizationDescriptor& desc, |
| 341 | const char* name) |
| 342 | { |
| 343 | return pNetworkImpl->AddL2NormalizationLayer(desc, name); |
| 344 | } |
| 345 | |
| 346 | IConnectableLayer* INetwork::AddLogSoftmaxLayer(const LogSoftmaxDescriptor& logSoftmaxDescriptor, |
| 347 | const char* name) |
| 348 | { |
| 349 | return pNetworkImpl->AddLogSoftmaxLayer(logSoftmaxDescriptor, name); |
| 350 | } |
| 351 | |
| 352 | IConnectableLayer* INetwork::AddConstantLayer(const ConstTensor& input, |
| 353 | const char* name) |
| 354 | { |
| 355 | return pNetworkImpl->AddConstantLayer(input, name); |
| 356 | } |
| 357 | |
| 358 | IConnectableLayer* INetwork::AddReshapeLayer(const ReshapeDescriptor& reshapeDescriptor, |
| 359 | const char* name) |
| 360 | { |
| 361 | return pNetworkImpl->AddReshapeLayer(reshapeDescriptor, name); |
| 362 | } |
| 363 | |
| 364 | IConnectableLayer* INetwork::AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
| 365 | const char* name) |
| 366 | { |
| 367 | return pNetworkImpl->AddSpaceToBatchNdLayer(spaceToBatchNdDescriptor, name); |
| 368 | } |
| 369 | |
| 370 | IConnectableLayer* INetwork::AddSpaceToDepthLayer(const SpaceToDepthDescriptor& spaceToDepthDescriptor, |
| 371 | const char* name) |
| 372 | { |
| 373 | return pNetworkImpl->AddSpaceToDepthLayer(spaceToDepthDescriptor, name); |
| 374 | } |
| 375 | |
| 376 | IConnectableLayer* INetwork::AddFloorLayer(const char* name) |
| 377 | { |
| 378 | return pNetworkImpl->AddFloorLayer(name); |
| 379 | } |
| 380 | IConnectableLayer* INetwork::AddOutputLayer(LayerBindingId id, const char* name) |
| 381 | { |
| 382 | return pNetworkImpl->AddOutputLayer(id, name); |
| 383 | } |
| 384 | |
| 385 | IConnectableLayer* INetwork::AddLstmLayer(const LstmDescriptor& descriptor, |
| 386 | const LstmInputParams& params, |
| 387 | const char* name) |
| 388 | { |
| 389 | return pNetworkImpl->AddLstmLayer(descriptor, params, name); |
| 390 | } |
| 391 | |
| 392 | IConnectableLayer* INetwork::AddDivisionLayer(const char* name) |
| 393 | { |
| 394 | return pNetworkImpl->AddDivisionLayer(name); |
| 395 | } |
| 396 | |
| 397 | IConnectableLayer* INetwork::AddSubtractionLayer(const char* name) |
| 398 | { |
| 399 | return pNetworkImpl->AddSubtractionLayer(name); |
| 400 | } |
| 401 | |
| 402 | IConnectableLayer* INetwork::AddMaximumLayer(const char* name) |
| 403 | { |
| 404 | return pNetworkImpl->AddMaximumLayer(name); |
| 405 | } |
| 406 | |
| 407 | IConnectableLayer* INetwork::AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name) |
| 408 | { |
| 409 | return pNetworkImpl->AddMeanLayer(meanDescriptor, name); |
| 410 | } |
| 411 | |
| 412 | IConnectableLayer* INetwork::AddPadLayer(const PadDescriptor& padDescriptor, |
| 413 | const char* name) |
| 414 | { |
| 415 | return pNetworkImpl->AddPadLayer(padDescriptor, name); |
| 416 | } |
| 417 | |
| 418 | IConnectableLayer* INetwork::AddQuantizeLayer(const char* name) |
| 419 | { |
| 420 | return pNetworkImpl->AddQuantizeLayer(name); |
| 421 | } |
| 422 | |
| 423 | IConnectableLayer* INetwork::AddStridedSliceLayer(const StridedSliceDescriptor& stridedSliceDescriptor, |
| 424 | const char* name) |
| 425 | { |
| 426 | return pNetworkImpl->AddStridedSliceLayer(stridedSliceDescriptor, name); |
| 427 | } |
| 428 | |
| 429 | IConnectableLayer* INetwork::AddMinimumLayer(const char* name) |
| 430 | { |
| 431 | return pNetworkImpl->AddMinimumLayer(name); |
| 432 | } |
| 433 | |
| 434 | IConnectableLayer* INetwork::AddGreaterLayer(const char* name) |
| 435 | { |
| 436 | return pNetworkImpl->AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Greater), name); |
| 437 | } |
| 438 | |
| 439 | IConnectableLayer* INetwork::AddEqualLayer(const char* name) |
| 440 | { |
| 441 | return pNetworkImpl->AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Equal), name); |
| 442 | } |
| 443 | |
| 444 | IConnectableLayer* INetwork::AddRsqrtLayer(const char* name) |
| 445 | { |
| 446 | return pNetworkImpl->AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt), name); |
| 447 | } |
| 448 | |
| 449 | IConnectableLayer* INetwork::AddGatherLayer(const char* name) |
| 450 | { |
| 451 | GatherDescriptor gatherDescriptor{}; |
| 452 | return pNetworkImpl->AddGatherLayer(gatherDescriptor, name); |
| 453 | } |
| 454 | |
| 455 | IConnectableLayer* INetwork::AddGatherLayer(const GatherDescriptor& descriptor, |
| 456 | const char* name) |
| 457 | { |
| 458 | return pNetworkImpl->AddGatherLayer(descriptor, name); |
| 459 | } |
| 460 | |
| 461 | IConnectableLayer* INetwork::AddSwitchLayer(const char* name) |
| 462 | { |
| 463 | return pNetworkImpl->AddSwitchLayer(name); |
| 464 | } |
| 465 | |
| 466 | IConnectableLayer* INetwork::AddPreluLayer(const char* name) |
| 467 | { |
| 468 | return pNetworkImpl->AddPreluLayer(name); |
| 469 | } |
| 470 | |
| 471 | IConnectableLayer* INetwork::AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& descriptor, |
| 472 | const ConstTensor& weights, |
| 473 | const Optional<ConstTensor>& biases, |
| 474 | const char* name) |
| 475 | { |
| 476 | return pNetworkImpl->AddTransposeConvolution2dLayer(descriptor, weights, biases, name); |
| 477 | } |
| 478 | |
| 479 | IConnectableLayer* INetwork::AddTransposeLayer(const TransposeDescriptor& transposeDescriptor, |
| 480 | const char* name) |
| 481 | { |
| 482 | return pNetworkImpl->AddTransposeLayer(transposeDescriptor, name); |
| 483 | } |
| 484 | |
Keith Davis | 3ae3f97 | 2021-05-21 16:33:48 +0100 | [diff] [blame] | 485 | IConnectableLayer* INetwork::AddShapeLayer(const char* name) |
| 486 | { |
| 487 | return pNetworkImpl->AddShapeLayer(name); |
| 488 | } |
| 489 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 490 | IConnectableLayer* INetwork::AddStackLayer(const StackDescriptor& descriptor, |
| 491 | const char* name) |
| 492 | { |
| 493 | return pNetworkImpl->AddStackLayer(descriptor, name); |
| 494 | } |
| 495 | |
| 496 | IConnectableLayer* INetwork::AddStandInLayer(const StandInDescriptor& descriptor, |
| 497 | const char* name) |
| 498 | { |
| 499 | return pNetworkImpl->AddStandInLayer(descriptor, name); |
| 500 | } |
| 501 | |
| 502 | IConnectableLayer* INetwork::AddQuantizedLstmLayer(const QuantizedLstmInputParams& params, |
| 503 | const char* name) |
| 504 | { |
| 505 | return pNetworkImpl->AddQuantizedLstmLayer(params, name); |
| 506 | } |
| 507 | |
| 508 | IConnectableLayer* INetwork::AddQLstmLayer(const QLstmDescriptor& descriptor, |
| 509 | const LstmInputParams& params, |
| 510 | const char* name) |
| 511 | { |
| 512 | return pNetworkImpl->AddQLstmLayer(descriptor, params, name); |
| 513 | } |
| 514 | |
| 515 | IConnectableLayer* INetwork::AddLogicalBinaryLayer(const LogicalBinaryDescriptor& descriptor, |
| 516 | const char* name) |
| 517 | { |
| 518 | return pNetworkImpl->AddLogicalBinaryLayer(descriptor, name); |
| 519 | } |
| 520 | |
| 521 | void INetwork::Accept(ILayerVisitor& visitor) const |
| 522 | { |
| 523 | return pNetworkImpl->Accept(visitor); |
| 524 | } |
| 525 | |
| 526 | void INetwork::ExecuteStrategy(IStrategy& strategy) const |
| 527 | { |
| 528 | return pNetworkImpl->ExecuteStrategy(strategy); |
| 529 | } |
| 530 | |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 531 | armnn::INetwork* INetwork::CreateRaw(NetworkOptions networkOptions) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 532 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 533 | return new INetwork(networkOptions); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 534 | } |
| 535 | |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 536 | armnn::INetworkPtr INetwork::Create(NetworkOptions networkOptions) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 537 | { |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 538 | return INetworkPtr(CreateRaw(networkOptions), &INetwork::Destroy); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 539 | } |
| 540 | |
| 541 | void INetwork::Destroy(INetwork* network) |
| 542 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 543 | delete network; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 544 | } |
| 545 | |
Mike Kelly | 0d677db | 2021-06-27 22:39:21 +0100 | [diff] [blame^] | 546 | IOptimizedNetwork::IOptimizedNetwork(const IOptimizedNetwork& other, const ModelOptions& modelOptions) |
| 547 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(*other.pOptimizedNetworkImpl.get(), modelOptions)) {} |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 548 | |
| 549 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<Graph> graph) |
| 550 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(std::move(graph))) {} |
| 551 | |
| 552 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<OptimizedNetworkImpl> impl) |
| 553 | : pOptimizedNetworkImpl(std::move(impl)) {} |
| 554 | |
| 555 | IOptimizedNetwork::IOptimizedNetwork(std::unique_ptr<Graph> graph, const ModelOptions& modelOptions) |
| 556 | : pOptimizedNetworkImpl(new OptimizedNetworkImpl(std::move(graph), modelOptions)) {} |
| 557 | |
| 558 | IOptimizedNetwork::~IOptimizedNetwork() = default; |
| 559 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 560 | void IOptimizedNetwork::Destroy(IOptimizedNetwork* network) |
| 561 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 562 | delete network; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 563 | } |
| 564 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 565 | Status IOptimizedNetwork::PrintGraph() |
| 566 | { |
| 567 | return pOptimizedNetworkImpl->PrintGraph(); |
| 568 | } |
| 569 | |
| 570 | Status IOptimizedNetwork::SerializeToDot(std::ostream& stream) const |
| 571 | { |
| 572 | return pOptimizedNetworkImpl->SerializeToDot(stream); |
| 573 | } |
| 574 | |
| 575 | profiling::ProfilingGuid IOptimizedNetwork::GetGuid() const |
| 576 | { |
| 577 | return pOptimizedNetworkImpl->GetGuid(); |
| 578 | } |
| 579 | |
| 580 | Status OptimizedNetworkImpl::PrintGraph() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 581 | { |
| 582 | m_Graph->Print(); |
| 583 | return Status::Success; |
| 584 | } |
| 585 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 586 | Status OptimizedNetworkImpl::SerializeToDot(std::ostream& stream) const |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 587 | { |
| 588 | return m_Graph->SerializeToDot(stream); |
| 589 | } |
| 590 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 591 | void ReportError(const std::string& errorMessage, |
| 592 | Optional<std::vector<std::string>&> errorMessages) |
| 593 | { |
| 594 | std::stringstream fullErrorMessage; |
| 595 | fullErrorMessage << "ERROR: " << errorMessage; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 596 | ARMNN_LOG(warning) << fullErrorMessage.str(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 597 | if (errorMessages) |
| 598 | { |
| 599 | errorMessages.value().push_back(fullErrorMessage.str()); |
| 600 | } |
| 601 | } |
| 602 | |
| 603 | void ReportWarning(const std::string& warningMessage, |
| 604 | Optional<std::vector<std::string>&> warningMessages) |
| 605 | { |
| 606 | std::stringstream fullWarningMessage; |
| 607 | fullWarningMessage << "WARNING: " << warningMessage; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 608 | ARMNN_LOG(warning) << fullWarningMessage.str(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 609 | if (warningMessages) |
| 610 | { |
| 611 | warningMessages.value().push_back(fullWarningMessage.str()); |
| 612 | } |
| 613 | } |
| 614 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 615 | OptimizationResult ReturnWithError(OptimizationResult res, |
| 616 | const Layer* layer, |
| 617 | const BackendSettings& backendSettings, |
| 618 | Optional<std::vector<std::string>&> errMessages) |
| 619 | { |
| 620 | std::stringstream failureMsg; |
| 621 | failureMsg << "Layer of type " << GetLayerTypeAsCString(layer->GetType()) |
| 622 | << " is not supported on any preferred backend " << backendSettings.m_PreferredBackends; |
| 623 | ReportError(failureMsg.str(), errMessages); |
| 624 | |
| 625 | res.m_Error = true; |
| 626 | return res; |
| 627 | } |
| 628 | |
| 629 | |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 630 | bool CheckScaleSetOnQuantizedType(Layer* layer, Optional<std::vector<std::string>&> errMessages) |
| 631 | { |
| 632 | bool noErrors = true; |
| 633 | unsigned int numOutputs = layer->GetNumOutputSlots(); |
| 634 | for (unsigned int i = 0; i < numOutputs; i++) { |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 635 | OutputSlot& outputSlot = layer->GetOutputSlot(i); |
| 636 | TensorInfo info = outputSlot.GetTensorInfo(); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 637 | if (DataType::QAsymmU8 == info.GetDataType()) { |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 638 | if (0.f == info.GetQuantizationScale()) { |
| 639 | noErrors = false; |
| 640 | std::stringstream ss; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 641 | ss << "output " << i << " of layer " << GetLayerTypeAsCString(layer->GetType()) |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 642 | << " (" << layer->GetNameStr() << ") is of type" |
| 643 | << " Quantized 8 bit but its scale parameter has not been set"; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 644 | ReportError(ss.str(), errMessages); |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 645 | } |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 646 | // Softmax under QuantisedAsymm8 must always be scale (1.0f/256.0f) and offset 0 |
| 647 | if ((info.GetQuantizationScale() != (1.0f / 256.0f) || |
| 648 | info.GetQuantizationOffset() != 0) && |
| 649 | layer->GetType() == armnn::LayerType::Softmax) |
| 650 | { |
| 651 | std::stringstream ss; |
| 652 | ss << "Quantization parameters for Softmax layer (Scale: " << |
| 653 | info.GetQuantizationScale() << " and Offset: " << info.GetQuantizationOffset() << |
| 654 | ") are incorrect and have been updated to Scale: 0.00390625 and Offset: 0"; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 655 | ARMNN_LOG(warning) << ss.str(); |
David Monahan | b855470 | 2019-04-25 16:03:38 +0100 | [diff] [blame] | 656 | info.SetQuantizationScale((1.0f /256.0f)); |
| 657 | info.SetQuantizationOffset(0); |
| 658 | outputSlot.SetTensorInfo(info); |
| 659 | } |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 660 | } |
| 661 | } |
| 662 | return noErrors; |
| 663 | } |
| 664 | |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 665 | template <typename LayerT> |
| 666 | LayerT* ConvertBf16ToFp32Weight(Layer* l) |
| 667 | { |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 668 | LayerT* layer = PolymorphicDowncast<LayerT*>(l); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 669 | if ((layer->GetType() == LayerType::Convolution2d || layer->GetType() == LayerType::FullyConnected) |
| 670 | && layer->m_Weight) |
| 671 | { |
| 672 | const TensorInfo& info = layer->m_Weight->GetTensorInfo(); |
| 673 | |
| 674 | if (info.GetDataType() == DataType::BFloat16) |
| 675 | { |
| 676 | std::vector<float> newValues(info.GetNumElements()); |
| 677 | |
| 678 | armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32( |
Finn Williams | 4422cec | 2021-03-22 17:51:06 +0000 | [diff] [blame] | 679 | layer->m_Weight->template GetConstTensor<armnn::BFloat16>(), info.GetNumElements(), newValues.data()); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 680 | |
| 681 | TensorInfo newInfo(info.GetShape(), DataType::Float32); |
| 682 | ConstTensor newInput(newInfo, newValues); |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 683 | layer->m_Weight.reset(new ScopedTensorHandle(newInput)); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 684 | } |
| 685 | } |
| 686 | return layer; |
| 687 | } |
| 688 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 689 | OptimizationResult AttemptBackendAssignment(BackendSettings& backendSettings, |
| 690 | Graph& graph, |
| 691 | Layer* layer, |
| 692 | BackendId backend, |
| 693 | DataType dataTypeIn, |
| 694 | DataType dataTypeOut, |
| 695 | const std::vector<BackendId>& availablePreferredBackends, |
| 696 | std::string& reasonIfUnsupported, |
| 697 | Optional<std::vector<std::string>&> errMessages) |
| 698 | { |
| 699 | OptimizationResult result; |
| 700 | |
| 701 | // Helper lambda to compose meaningful error message before returning with error |
| 702 | auto ReturnError = [&](const Layer* layer) |
| 703 | { |
| 704 | return ReturnWithError(result, layer, backendSettings, errMessages); |
| 705 | }; |
| 706 | |
| 707 | // need to set the compute device on the layer |
| 708 | // before we can check if it is supported |
| 709 | layer->SetBackendId(backend); |
| 710 | if (!IWorkloadFactory::IsLayerSupported(*layer, EmptyOptional(), reasonIfUnsupported)) |
| 711 | { |
| 712 | if (dataTypeIn == DataType::Float16 || dataTypeOut == DataType::Float16) |
| 713 | { |
| 714 | if (IWorkloadFactory::IsLayerSupported(*layer, DataType::Float32, reasonIfUnsupported) |
| 715 | && layer->GetType() != LayerType::ConvertFp32ToFp16 |
| 716 | && layer->GetType() != LayerType::ConvertFp16ToFp32) |
| 717 | { |
| 718 | // Insert FP16 -> FP32 conversion layer before current layer |
| 719 | std::vector<ConvertFp16ToFp32Layer*> convertFp16ToFp32Layers; |
| 720 | if (dataTypeIn == DataType::Float16) |
| 721 | { |
| 722 | convertFp16ToFp32Layers = |
| 723 | InsertConvertFp16ToFp32LayersBefore(graph, *layer); |
| 724 | } |
| 725 | |
| 726 | // Insert FP32 -> FP16 conversion layer after current layer |
| 727 | std::vector<ConvertFp32ToFp16Layer*> convertFp32ToFp16Layers; |
| 728 | if (dataTypeOut == DataType::Float16) |
| 729 | { |
| 730 | convertFp32ToFp16Layers = |
| 731 | InsertConvertFp32ToFp16LayersAfter(graph, *layer); |
| 732 | } |
| 733 | |
| 734 | // Assign a supported backend to the newly introduced conversion layers |
| 735 | auto AssignFirstSupportedBackend = [&](Layer* layer, BackendId preferredBackend) |
| 736 | { |
| 737 | bool supportedBackendFound = false; |
| 738 | std::string reasonIfUnsupported; |
| 739 | |
| 740 | // Try preferred backend first |
| 741 | layer->SetBackendId(preferredBackend); |
| 742 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 743 | EmptyOptional(), |
| 744 | reasonIfUnsupported)) |
| 745 | { |
| 746 | supportedBackendFound = true; |
| 747 | } |
| 748 | else |
| 749 | { |
| 750 | for (const auto& backend : availablePreferredBackends) |
| 751 | { |
| 752 | // Skip preferred backend (we already determined that it is not supported) |
| 753 | if (backend == preferredBackend) |
| 754 | { |
| 755 | continue; |
| 756 | } |
| 757 | |
| 758 | layer->SetBackendId(backend); |
| 759 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 760 | EmptyOptional(), |
| 761 | reasonIfUnsupported)) |
| 762 | { |
| 763 | supportedBackendFound = true; |
| 764 | break; |
| 765 | } |
| 766 | } |
| 767 | } |
| 768 | |
| 769 | return supportedBackendFound; |
| 770 | }; |
| 771 | |
| 772 | for (ConvertFp16ToFp32Layer* convertLayer : convertFp16ToFp32Layers) |
| 773 | { |
| 774 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 775 | { |
| 776 | return ReturnError(convertLayer); |
| 777 | } |
| 778 | } |
| 779 | |
| 780 | for (ConvertFp32ToFp16Layer* convertLayer : convertFp32ToFp16Layers) |
| 781 | { |
| 782 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 783 | { |
| 784 | return ReturnError(convertLayer); |
| 785 | } |
| 786 | } |
| 787 | |
| 788 | return result; |
| 789 | } |
| 790 | } |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 791 | else if (dataTypeIn == DataType::BFloat16 || dataTypeOut == DataType::BFloat16) |
| 792 | { |
| 793 | if (IWorkloadFactory::IsLayerSupported(*layer, DataType::Float32, reasonIfUnsupported) |
| 794 | && layer->GetType() != LayerType::ConvertFp32ToBf16 |
| 795 | && layer->GetType() != LayerType::ConvertBf16ToFp32) |
| 796 | { |
| 797 | // Insert BF16 -> FP32 conversion layer before current layer |
| 798 | std::vector<ConvertBf16ToFp32Layer*> convertBf16ToFp32Layers; |
| 799 | if (dataTypeIn == DataType::BFloat16) |
| 800 | { |
| 801 | convertBf16ToFp32Layers = |
| 802 | InsertConvertBf16ToFp32LayersBefore(graph, *layer); |
Narumol Prangnawarat | 250d392 | 2020-03-30 16:11:04 +0100 | [diff] [blame] | 803 | if (layer->GetType() == LayerType::Convolution2d) |
| 804 | { |
| 805 | ConvertBf16ToFp32Weight<Convolution2dLayer>(layer); |
| 806 | } |
| 807 | else if (layer->GetType() == LayerType::FullyConnected) |
| 808 | { |
| 809 | ConvertBf16ToFp32Weight<FullyConnectedLayer>(layer); |
| 810 | } |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 811 | } |
| 812 | |
| 813 | // Insert FP32 -> BF16 conversion layer after current layer |
| 814 | std::vector<ConvertFp32ToBf16Layer*> convertFp32ToBf16Layers; |
| 815 | if (dataTypeOut == DataType::BFloat16) |
| 816 | { |
| 817 | convertFp32ToBf16Layers = |
| 818 | InsertConvertFp32ToBf16LayersAfter(graph, *layer); |
| 819 | } |
| 820 | |
| 821 | // Assign a supported backend to the newly introduced conversion layers |
| 822 | auto AssignFirstSupportedBackend = [&](Layer* layer, BackendId preferredBackend) |
| 823 | { |
| 824 | bool supportedBackendFound = false; |
| 825 | std::string reasonIfUnsupported; |
| 826 | |
| 827 | // Try preferred backend first |
| 828 | layer->SetBackendId(preferredBackend); |
| 829 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 830 | EmptyOptional(), |
| 831 | reasonIfUnsupported)) |
| 832 | { |
| 833 | supportedBackendFound = true; |
| 834 | } |
| 835 | else |
| 836 | { |
| 837 | for (const auto& backend : availablePreferredBackends) |
| 838 | { |
| 839 | // Skip preferred backend (we already determined that it is not supported) |
| 840 | if (backend == preferredBackend) |
| 841 | { |
| 842 | continue; |
| 843 | } |
| 844 | |
| 845 | layer->SetBackendId(backend); |
| 846 | if (IWorkloadFactory::IsLayerSupported(*layer, |
| 847 | EmptyOptional(), |
| 848 | reasonIfUnsupported)) |
| 849 | { |
| 850 | supportedBackendFound = true; |
| 851 | break; |
| 852 | } |
| 853 | } |
| 854 | } |
| 855 | |
| 856 | return supportedBackendFound; |
| 857 | }; |
| 858 | |
| 859 | for (ConvertBf16ToFp32Layer* convertLayer : convertBf16ToFp32Layers) |
| 860 | { |
| 861 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 862 | { |
| 863 | return ReturnError(convertLayer); |
| 864 | } |
| 865 | } |
| 866 | |
| 867 | for (ConvertFp32ToBf16Layer* convertLayer : convertFp32ToBf16Layers) |
| 868 | { |
| 869 | if (!AssignFirstSupportedBackend(convertLayer, backend)) |
| 870 | { |
| 871 | return ReturnError(convertLayer); |
| 872 | } |
| 873 | } |
| 874 | |
| 875 | return result; |
| 876 | } |
| 877 | } |
| 878 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 879 | std::stringstream warningMsg; |
| 880 | warningMsg << "Layer of type " << GetLayerTypeAsCString(layer->GetType()) |
| 881 | << " is not supported on requested backend " << layer->GetBackendId().Get() |
| 882 | << " for input data type " << GetDataTypeName(dataTypeIn) |
| 883 | << " and output data type " << GetDataTypeName(dataTypeOut) |
| 884 | << " (reason: " << reasonIfUnsupported |
| 885 | << "), falling back to the next backend."; |
| 886 | ReportWarning(warningMsg.str(), errMessages); |
| 887 | |
| 888 | return OptimizationResult(true, false); |
| 889 | } |
| 890 | else |
| 891 | { |
| 892 | return result; |
| 893 | } |
| 894 | } |
| 895 | |
| 896 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 897 | OptimizationResult AssignBackends(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 898 | BackendSettings& backendSettings, |
| 899 | Graph::Iterator& firstLayer, |
| 900 | Graph::Iterator& lastLayer, |
| 901 | Optional<std::vector<std::string>&> errMessages) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 902 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 903 | OptimizationResult result; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 904 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 905 | // Helper lambda to compose meaningful error message before returning with error |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 906 | auto ReturnError = [&](const Layer* layer) |
| 907 | { |
| 908 | return ReturnWithError(result, layer, backendSettings, errMessages); |
| 909 | }; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 910 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 911 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 912 | auto availablePreferredBackends = backendSettings.GetAvailablePreferredBackends(); |
| 913 | if (availablePreferredBackends.empty()) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 914 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 915 | std::stringstream failureMsg; |
| 916 | failureMsg << "No preferred backends are available"; |
| 917 | ReportError(failureMsg.str(), errMessages); |
| 918 | |
| 919 | result.m_Error = true; |
| 920 | return result; |
| 921 | } |
| 922 | |
| 923 | for (auto it = firstLayer; it != lastLayer; ++it) |
| 924 | { |
| 925 | auto layer = *it; |
Aron Virginas-Tar | 87972be | 2019-11-13 15:16:28 +0000 | [diff] [blame] | 926 | |
| 927 | DataType dataTypeIn = layer->GetNumInputSlots() == 0 ? DataType::Float32 : |
| 928 | layer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo().GetDataType(); |
| 929 | DataType dataTypeOut = layer->GetNumOutputSlots() == 0 ? DataType::Float32 : |
| 930 | layer->GetOutputSlot(0).GetTensorInfo().GetDataType(); |
| 931 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 932 | std::string reasonIfUnsupported; |
| 933 | bool found = false; |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 934 | if (!CheckScaleSetOnQuantizedType(layer, errMessages)) |
| 935 | { |
| 936 | // don't bomb immediately, find all the quantized outputs |
| 937 | // which haven't had a scale set and report them all back. |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 938 | result.m_Error = true; |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 939 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 940 | |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 941 | // First try assign layer to hint backend |
| 942 | if (layer->GetBackendHint().has_value() && |
| 943 | backendSettings.IsBackendSupported(layer->GetBackendHint().value()) && |
| 944 | AttemptBackendAssignment(backendSettings, |
| 945 | optNetObjPtr->GetGraph(), |
| 946 | layer, |
| 947 | layer->GetBackendHint().value(), |
| 948 | dataTypeIn, |
| 949 | dataTypeOut, |
| 950 | availablePreferredBackends, |
| 951 | reasonIfUnsupported, |
| 952 | errMessages).IsOk()) |
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 | found = true; |
| 955 | backendSettings.m_SelectedBackends.insert(layer->GetBackendHint().value()); |
| 956 | } |
| 957 | else |
| 958 | { |
| 959 | // Try assign layer to prefered list of backends |
| 960 | for (const auto& backend : availablePreferredBackends) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 961 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 962 | if (layer->GetBackendHint().has_value() && |
| 963 | layer->GetBackendHint().value() == backend) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 964 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 965 | continue; //Don't re-test the backend hint |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 966 | } |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 967 | |
| 968 | OptimizationResult res = AttemptBackendAssignment(backendSettings, |
| 969 | optNetObjPtr->GetGraph(), |
| 970 | layer, |
| 971 | backend, |
| 972 | dataTypeIn, |
| 973 | dataTypeOut, |
| 974 | availablePreferredBackends, |
| 975 | reasonIfUnsupported, |
| 976 | errMessages); |
| 977 | |
| 978 | if (res.IsOk()) |
| 979 | { |
| 980 | found = true; |
| 981 | backendSettings.m_SelectedBackends.insert(backend); |
| 982 | break; |
| 983 | } |
| 984 | else if (res.IsError()) |
| 985 | { |
| 986 | return res; // Cannot continue. |
| 987 | // Note: we don't need to log the error as it would already |
| 988 | // be logged in AttemptBackendAssignment(). |
| 989 | } |
| 990 | else |
| 991 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 992 | ARMNN_ASSERT_MSG(res.IsWarningOnly(), "OptimizationResult in unexpected state."); |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 993 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 994 | } |
| 995 | } |
| 996 | |
| 997 | // 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] | 998 | if (!found) |
| 999 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1000 | // NOTE: if the layer is not an operation queue type AND we have not got CpuRef as a |
| 1001 | // fallback we should set the compute device on the layer to CpuRef (these are not |
| 1002 | // available as accelerated operations, or are only available under certain |
| 1003 | // conditions, currently they comprise MemCopy, Constant, Permute) |
| 1004 | armnn::LayerType layerType = layer->GetType(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1005 | if (!backendSettings.IsCpuRefUsed() && (layerType == armnn::LayerType::MemCopy || |
| 1006 | layerType == armnn::LayerType::Constant || |
| 1007 | layerType == armnn::LayerType::Permute)) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1008 | { |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1009 | BackendId cpuBackendId(armnn::Compute::CpuRef); |
| 1010 | layer->SetBackendId(cpuBackendId); |
| 1011 | backendSettings.m_SelectedBackends.insert(cpuBackendId); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1012 | } |
| 1013 | else |
| 1014 | { |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 1015 | return ReturnError(layer); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1016 | } |
| 1017 | } |
| 1018 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1019 | |
| 1020 | return result; |
| 1021 | } |
| 1022 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1023 | OptimizationResult AssignBackends(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1024 | BackendSettings& backendSettings, |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1025 | SubgraphView& subgraph, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1026 | Optional<std::vector<std::string>&> errMessages) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1027 | { |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1028 | Graph::Iterator firstLayer = subgraph.begin(); |
| 1029 | Graph::Iterator lastLayer = subgraph.end(); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1030 | return AssignBackends(optNetObjPtr, |
| 1031 | backendSettings, |
| 1032 | firstLayer, |
| 1033 | lastLayer, |
| 1034 | errMessages); |
| 1035 | } |
| 1036 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1037 | BackendsMap CreateSupportedBackends(TensorHandleFactoryRegistry& handleFactoryRegistry, |
| 1038 | BackendSettings& backendSettings) |
| 1039 | { |
| 1040 | BackendsMap backends; |
| 1041 | auto const& backendRegistry = BackendRegistryInstance(); |
| 1042 | for (auto&& selectedBackend : backendSettings.m_SupportedBackends) |
| 1043 | { |
| 1044 | auto backendFactory = backendRegistry.GetFactory(selectedBackend); |
| 1045 | auto backendObjPtr = backendFactory(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1046 | ARMNN_ASSERT(backendObjPtr); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1047 | |
| 1048 | backendObjPtr->RegisterTensorHandleFactories(handleFactoryRegistry); |
| 1049 | |
| 1050 | backends[backendObjPtr->GetId()] = std::move(backendObjPtr); |
| 1051 | } |
| 1052 | |
| 1053 | return backends; |
| 1054 | } |
| 1055 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1056 | OptimizationResult ApplyBackendOptimizations(OptimizedNetworkImpl* optNetObjPtr, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1057 | BackendSettings& backendSettings, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1058 | BackendsMap& backends, |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1059 | const ModelOptions& modelOptions, |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1060 | Optional<std::vector<std::string>&> errMessages) |
| 1061 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1062 | ARMNN_ASSERT(optNetObjPtr); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1063 | |
| 1064 | OptimizationResult result; |
| 1065 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1066 | // Get the optimized graph |
| 1067 | Graph& optGraph = optNetObjPtr->GetGraph(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1068 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1069 | // Run backend specific optimizations |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1070 | for (auto&& selectedBackend : backendSettings.m_SelectedBackends) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1071 | { |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1072 | auto backendObjPtr = backends.find(selectedBackend)->second.get(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1073 | ARMNN_ASSERT(backendObjPtr); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1074 | |
| 1075 | // Select sub-graphs based on backend |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1076 | SubgraphViewSelector::Subgraphs subgraphs = |
Rob Hughes | 65c3226 | 2019-07-23 15:33:39 +0100 | [diff] [blame] | 1077 | SubgraphViewSelector::SelectSubgraphs(optGraph, |
Matteo Martincigh | 602af09 | 2019-05-01 10:31:27 +0100 | [diff] [blame] | 1078 | // Select layers assigned to the requested backend |
| 1079 | [&backendObjPtr](const Layer& layer) |
| 1080 | { |
| 1081 | return layer.GetType() != LayerType::Input && |
| 1082 | layer.GetType() != LayerType::Output && |
| 1083 | layer.GetBackendId() == backendObjPtr->GetId(); |
| 1084 | }); |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1085 | if (subgraphs.empty()) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1086 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1087 | // No sub-graphs found, try with next selected backend |
| 1088 | continue; |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1089 | } |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1090 | |
| 1091 | // Try to optimize each sub-graph |
Derek Lamberti | ff05cc5 | 2019-04-26 13:05:17 +0100 | [diff] [blame] | 1092 | for (auto& subgraph : subgraphs) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1093 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1094 | // Try to optimize the current sub-graph |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1095 | OptimizationViews optimizationViews = backendObjPtr->OptimizeSubgraphView(*subgraph, modelOptions); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1096 | ARMNN_ASSERT(optimizationViews.Validate(*subgraph)); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1097 | |
| 1098 | // Optimization attempted, check the resulting optimized sub-graph |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1099 | for (auto& substitution : optimizationViews.GetSubstitutions()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1100 | { |
| 1101 | // 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] | 1102 | SubgraphView& replacementSubgraph = substitution.m_ReplacementSubgraph; |
| 1103 | SubgraphView& substitutableSubgraph = substitution.m_SubstitutableSubgraph; |
| 1104 | optGraph.SubstituteSubgraph(substitutableSubgraph, replacementSubgraph); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1105 | |
| 1106 | // Assign the current backend to the optimized sub-graph |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1107 | std::for_each(replacementSubgraph.begin(), replacementSubgraph.end(), [&selectedBackend](Layer* l) |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1108 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1109 | ARMNN_ASSERT(l); |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1110 | l->SetBackendId(selectedBackend); |
| 1111 | }); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1112 | } |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1113 | |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1114 | if (!optimizationViews.GetFailedSubgraphs().empty()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1115 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1116 | std::stringstream warningMsg; |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1117 | warningMsg << "Some sub-graph(s) failed to optimized on " << backendObjPtr->GetId() << " backend."; |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1118 | ReportWarning(warningMsg.str(), errMessages); |
| 1119 | |
| 1120 | // 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] | 1121 | BackendSettings settingsCopy(backendSettings); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1122 | if (!backendObjPtr->GetId().IsCpuRef()) |
| 1123 | { |
| 1124 | // Add the current backend to the list of backends to ignore |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1125 | settingsCopy.m_IgnoredBackends.insert(backendObjPtr->GetId()); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1126 | } |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1127 | |
| 1128 | int count=0; |
Matteo Martincigh | 8492433 | 2019-05-09 12:46:16 +0100 | [diff] [blame] | 1129 | for (auto& failedSubgraph : optimizationViews.GetFailedSubgraphs()) |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1130 | { |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1131 | // An error occurred: the optimization was attempted but not performed, try different backends |
| 1132 | std::stringstream subgraphMsg; |
| 1133 | subgraphMsg << "Re-assigning backends to " << failedSubgraph.GetLayers().size() |
| 1134 | << " layers inside sub-graph " << count++; |
Matteo Martincigh | 328d92b | 2019-07-04 17:52:55 +0100 | [diff] [blame] | 1135 | ReportWarning(subgraphMsg.str(), errMessages); |
Derek Lamberti | c2fe5fb | 2019-05-08 10:23:08 +0100 | [diff] [blame] | 1136 | |
| 1137 | OptimizationResult reassignmentResult = AssignBackends(optNetObjPtr, |
| 1138 | settingsCopy, |
| 1139 | *subgraph, |
| 1140 | errMessages); |
| 1141 | if (reassignmentResult.m_Error) |
| 1142 | { |
| 1143 | // Failed to re-assign one of the remaining backends to each layer of the sub-graph |
| 1144 | result.m_Error = true; |
| 1145 | return result; |
| 1146 | } |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1147 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1148 | } |
| 1149 | } |
| 1150 | } |
| 1151 | |
| 1152 | return result; |
| 1153 | } |
| 1154 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1155 | bool RequiresCopy(ITensorHandleFactory::FactoryId src, |
| 1156 | ITensorHandleFactory::FactoryId dst, |
| 1157 | TensorHandleFactoryRegistry& registry) |
| 1158 | { |
| 1159 | if (src != dst) |
| 1160 | { |
| 1161 | ITensorHandleFactory* srcFactory = registry.GetFactory(src); |
| 1162 | ITensorHandleFactory* dstFactory = registry.GetFactory(dst); |
| 1163 | |
Matteo Martincigh | a6539ed | 2019-08-27 13:43:32 +0100 | [diff] [blame] | 1164 | if (srcFactory && dstFactory && |
| 1165 | (srcFactory->GetExportFlags() & dstFactory->GetImportFlags()) != 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1166 | { |
| 1167 | return false; |
| 1168 | } |
| 1169 | return true; |
| 1170 | } |
| 1171 | return false; |
| 1172 | } |
| 1173 | |
| 1174 | // Find the handle factory for the input layer which results in fewest required copies. |
| 1175 | ITensorHandleFactory::FactoryId CalculateSlotOptionForInput(BackendsMap& backends, |
| 1176 | OutputSlot& slot, |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1177 | TensorHandleFactoryRegistry& registry, |
| 1178 | bool importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1179 | { |
| 1180 | Layer& layer = slot.GetOwningLayer(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1181 | ARMNN_ASSERT(layer.GetType() == LayerType::Input); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1182 | |
| 1183 | // Explicitly select the tensorhandle factory for InputLayer because the rules for it are slightly different. It |
| 1184 | // doesn't matter which backend it is assigned to because they all use the same implementation, which |
| 1185 | // requires Map/Unmap support. This means that, so long as the handle type supports map/unmap semantics, we can |
| 1186 | // select a factory with maximum compatibility with the layers connected to the InputLayer. |
| 1187 | |
| 1188 | // First ensure the from backends can support the TensorHandeAPI |
| 1189 | auto frmBackend = backends.find(layer.GetBackendId()); |
| 1190 | if (frmBackend == backends.end() || |
| 1191 | !frmBackend->second->SupportsTensorAllocatorAPI()) |
| 1192 | { |
| 1193 | return ITensorHandleFactory::LegacyFactoryId; |
| 1194 | } |
| 1195 | |
| 1196 | // Go through all connections to the output slot and determine the TensorHandleFactory which results in the |
| 1197 | // fewest copies. |
| 1198 | std::map<ITensorHandleFactory::FactoryId, int> factoryScores; |
| 1199 | int topScore = 0; |
| 1200 | ITensorHandleFactory::FactoryId topChoice = ITensorHandleFactory::LegacyFactoryId; |
| 1201 | |
| 1202 | for (auto&& connection : slot.GetConnections()) |
| 1203 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1204 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1205 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1206 | |
| 1207 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1208 | 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] | 1209 | |
| 1210 | if (!toBackend->second.get()->SupportsTensorAllocatorAPI()) |
| 1211 | { |
| 1212 | // The destination backend does not support the tensor allocator API, move to the next one |
| 1213 | continue; |
| 1214 | } |
| 1215 | |
| 1216 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1217 | for (auto&& dst : dstPrefs) |
| 1218 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1219 | // Input layers use the mem copy workload or import, so the selected factory must |
| 1220 | // support either the map/unmap API or Import API |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1221 | ITensorHandleFactory* factory = registry.GetFactory(dst); |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1222 | if (importEnabled && factory->GetImportFlags() == 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1223 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1224 | continue; |
| 1225 | } |
| 1226 | else if (!importEnabled && !factory->SupportsMapUnmap()) |
| 1227 | { |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1228 | continue; |
| 1229 | } |
| 1230 | |
| 1231 | auto it = factoryScores.find(dst); |
| 1232 | if (it == factoryScores.end()) |
| 1233 | { |
| 1234 | // Add new score to the table |
| 1235 | factoryScores[dst] = 0; |
| 1236 | if (topChoice == ITensorHandleFactory::LegacyFactoryId) |
| 1237 | { |
| 1238 | topChoice = dst; |
| 1239 | } |
| 1240 | } |
| 1241 | else |
| 1242 | { |
| 1243 | // Increase the score |
| 1244 | factoryScores[dst]++; |
| 1245 | |
| 1246 | // Track the best option |
| 1247 | if (factoryScores[dst] > topScore) |
| 1248 | { |
| 1249 | topScore = factoryScores[dst]; |
| 1250 | topChoice = dst; |
| 1251 | } |
| 1252 | } |
| 1253 | } |
| 1254 | } |
| 1255 | |
| 1256 | return topChoice; |
| 1257 | } |
| 1258 | |
| 1259 | // Find the handle factory for the output layer which results in fewest required copies. |
| 1260 | ITensorHandleFactory::FactoryId CalculateSlotOptionForOutput(BackendsMap& backends, |
| 1261 | OutputSlot& slot, |
| 1262 | TensorHandleFactoryRegistry& registry) |
| 1263 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 1264 | IgnoreUnused(backends, slot, registry); |
Derek Lamberti | 94a88d2 | 2019-12-10 21:12:59 +0000 | [diff] [blame] | 1265 | return ITensorHandleFactory::DeferredFactoryId; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1266 | } |
| 1267 | |
| 1268 | // For all handle factories supported on the source backend, we wish to find the one which requires the fewest copies |
| 1269 | // when considering all connections. |
| 1270 | ITensorHandleFactory::FactoryId CalculateSlotOption(BackendsMap& backends, |
| 1271 | OutputSlot& outputSlot, |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1272 | TensorHandleFactoryRegistry& registry, |
| 1273 | bool importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1274 | { |
| 1275 | // First ensure the from backends can support the TensorHandeAPI |
| 1276 | Layer& layer = outputSlot.GetOwningLayer(); |
| 1277 | auto frmBackend = backends.find(layer.GetBackendId()); |
| 1278 | if (frmBackend == backends.end() || |
| 1279 | !frmBackend->second->SupportsTensorAllocatorAPI()) |
| 1280 | { |
| 1281 | return ITensorHandleFactory::LegacyFactoryId; |
| 1282 | } |
| 1283 | |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1284 | bool outputConnection = false; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1285 | for (auto&& connection : outputSlot.GetConnections()) |
| 1286 | { |
| 1287 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1288 | if (connectedLayer.GetType() == LayerType::Output) |
| 1289 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1290 | outputConnection = true; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1291 | } |
| 1292 | } |
| 1293 | |
| 1294 | IBackendInternal* srcBackend = frmBackend->second.get(); |
| 1295 | auto srcPrefs = srcBackend->GetHandleFactoryPreferences(); |
| 1296 | |
| 1297 | // Initialize the scores |
| 1298 | std::map<ITensorHandleFactory::FactoryId, int> factoryScores; |
| 1299 | for (auto&& pref : srcPrefs) |
| 1300 | { |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1301 | if (importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1302 | { |
| 1303 | ITensorHandleFactory* factory = registry.GetFactory(pref); |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1304 | if (outputConnection) |
| 1305 | { |
| 1306 | // Check if this is fallback case |
| 1307 | bool fallbackConnection = false; |
| 1308 | for (auto&& inputSlot : layer.GetInputSlots()) |
| 1309 | { |
| 1310 | if (inputSlot.GetConnectedOutputSlot()->GetOwningLayer().GetBackendId() != layer.GetBackendId()) |
| 1311 | { |
| 1312 | fallbackConnection = true; |
| 1313 | } |
| 1314 | } |
| 1315 | if (fallbackConnection) |
| 1316 | { |
| 1317 | auto factoryCap = factory->GetCapabilities(&layer, &layer, CapabilityClass::FallbackImportDisabled); |
| 1318 | // Cannot use factory import if fallback import is not supported. |
| 1319 | if (!factoryCap.empty()) |
| 1320 | { |
| 1321 | continue; |
| 1322 | } |
| 1323 | } |
| 1324 | else if (factory->GetExportFlags() == 0) |
| 1325 | { |
| 1326 | continue; |
| 1327 | } |
| 1328 | } |
| 1329 | if (!outputConnection) |
| 1330 | { |
| 1331 | auto factoryCap = factory->GetCapabilities(&layer, &layer, CapabilityClass::FallbackImportDisabled); |
| 1332 | // Cannot use factory import if fallback import is not supported. |
| 1333 | if (!factoryCap.empty()) |
| 1334 | { |
| 1335 | continue; |
| 1336 | } |
| 1337 | } |
| 1338 | |
| 1339 | } |
| 1340 | else |
| 1341 | { |
| 1342 | // Only consider factories that support map/unmap |
| 1343 | ITensorHandleFactory* factory = registry.GetFactory(pref); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1344 | if (!factory->SupportsMapUnmap()) |
| 1345 | { |
| 1346 | // The current tensor handle factory does not support the map/unmap strategy, move to the next one |
| 1347 | continue; |
| 1348 | } |
| 1349 | } |
| 1350 | |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1351 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1352 | auto it = factoryScores.find(pref); |
| 1353 | if (it == factoryScores.end()) |
| 1354 | { |
| 1355 | // Add new score to the table |
| 1356 | factoryScores[pref] = 0; |
| 1357 | } |
| 1358 | } |
| 1359 | |
| 1360 | // Score each handle factory based on how many times it requires copies on the slot connections |
| 1361 | for (auto&& connection : outputSlot.GetConnections()) |
| 1362 | { |
| 1363 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1364 | |
| 1365 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1366 | 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] | 1367 | |
| 1368 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1369 | for (auto&& src : srcPrefs) |
| 1370 | { |
| 1371 | if (factoryScores.find(src) == factoryScores.end()) // Don't consider excluded factories |
| 1372 | { |
| 1373 | continue; |
| 1374 | } |
| 1375 | |
| 1376 | for (auto&& dst : dstPrefs) |
| 1377 | { |
| 1378 | if (RequiresCopy(src, dst, registry)) |
| 1379 | { |
| 1380 | // Copy avoided, increase the score |
| 1381 | factoryScores[src]++; |
| 1382 | break; |
| 1383 | } |
| 1384 | } |
| 1385 | } |
| 1386 | } |
| 1387 | |
| 1388 | // Find the lowest score |
| 1389 | int minScore = std::numeric_limits<int>::max(); |
| 1390 | for (auto it : factoryScores) |
| 1391 | { |
| 1392 | minScore = std::min(minScore, it.second); |
| 1393 | } |
| 1394 | |
| 1395 | // Collect factories matching the best(lowest) score |
| 1396 | std::vector<ITensorHandleFactory::FactoryId> optimalFactories; |
| 1397 | for (auto it : factoryScores) |
| 1398 | { |
| 1399 | if (it.second == minScore) |
| 1400 | { |
| 1401 | optimalFactories.push_back(it.first); |
| 1402 | } |
| 1403 | } |
| 1404 | |
| 1405 | // For all compatible Factories matching the best score, find the preferred one for the current layer. |
| 1406 | for (auto&& srcPref : srcPrefs) |
| 1407 | { |
| 1408 | for (auto&& comp : optimalFactories) |
| 1409 | { |
| 1410 | if (comp == srcPref) |
| 1411 | { |
| 1412 | return comp; |
| 1413 | } |
| 1414 | } |
| 1415 | } |
| 1416 | |
| 1417 | return ITensorHandleFactory::LegacyFactoryId; |
| 1418 | } |
| 1419 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1420 | EdgeStrategy CalculateEdgeStrategy(BackendsMap& backends, |
| 1421 | ITensorHandleFactory::FactoryId srcFactoryId, |
| 1422 | const Layer& layer, |
| 1423 | const Layer& connectedLayer, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1424 | TensorHandleFactoryRegistry& registry, |
| 1425 | bool importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1426 | { |
| 1427 | auto toBackend = backends.find(connectedLayer.GetBackendId()); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1428 | 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] | 1429 | |
| 1430 | auto dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences(); |
| 1431 | |
| 1432 | // Legacy API check for backward compatibility |
| 1433 | if (srcFactoryId == ITensorHandleFactory::LegacyFactoryId || dstPrefs.empty()) |
| 1434 | { |
| 1435 | if (layer.GetBackendId() != connectedLayer.GetBackendId()) |
| 1436 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1437 | return EdgeStrategy::CopyToTarget; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1438 | } |
| 1439 | else |
| 1440 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1441 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1442 | } |
| 1443 | } |
| 1444 | |
| 1445 | // TensorHandleFactory API present, so perform more sophisticated strategies. |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1446 | // 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] | 1447 | if (connectedLayer.GetType() == LayerType::Output) |
| 1448 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1449 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1450 | } |
| 1451 | |
| 1452 | // Search for direct match in prefs |
| 1453 | for (auto&& pref : dstPrefs) |
| 1454 | { |
| 1455 | if (pref == srcFactoryId) |
| 1456 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1457 | return EdgeStrategy::DirectCompatibility; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1458 | } |
| 1459 | } |
| 1460 | |
| 1461 | // Search for export/import options |
| 1462 | ITensorHandleFactory* srcFactory = registry.GetFactory(srcFactoryId); |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1463 | if (srcFactory->GetExportFlags() != 0 && importEnabled) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1464 | { |
| 1465 | for (auto&& pref : dstPrefs) |
| 1466 | { |
| 1467 | ITensorHandleFactory* dstFactory = registry.GetFactory(pref); |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1468 | |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1469 | // Handles cases when a destPref is not listed in TensorHandleFactoryRegistry |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1470 | if (!dstFactory) { |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1471 | continue; |
James Conroy | ffab16f | 2019-11-07 14:37:09 +0000 | [diff] [blame] | 1472 | } |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1473 | if ((dstFactory->GetImportFlags() & srcFactory->GetExportFlags()) != 0) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1474 | { |
Narumol Prangnawarat | b8d771a | 2020-08-14 11:51:12 +0100 | [diff] [blame] | 1475 | auto srcCapability = srcFactory->GetCapabilities(&layer, &layer, CapabilityClass::PaddingRequired); |
| 1476 | auto dstCapability = dstFactory->GetCapabilities(&connectedLayer, |
| 1477 | &connectedLayer, |
| 1478 | CapabilityClass::PaddingRequired); |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1479 | auto srcFallback = srcFactory->GetCapabilities(&layer, &layer, CapabilityClass::FallbackImportDisabled); |
| 1480 | auto dstFallback = dstFactory->GetCapabilities(&connectedLayer, |
| 1481 | &connectedLayer, |
| 1482 | CapabilityClass::FallbackImportDisabled); |
Narumol Prangnawarat | b8d771a | 2020-08-14 11:51:12 +0100 | [diff] [blame] | 1483 | // 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] | 1484 | if (srcCapability.empty() && dstCapability.empty() && srcFallback.empty() && dstFallback.empty()) |
Narumol Prangnawarat | b8d771a | 2020-08-14 11:51:12 +0100 | [diff] [blame] | 1485 | { |
| 1486 | return EdgeStrategy::ExportToTarget; |
| 1487 | } |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1488 | } |
| 1489 | } |
| 1490 | } |
| 1491 | |
| 1492 | // Search for copy options via map/unmap |
| 1493 | if (srcFactory->SupportsMapUnmap()) |
| 1494 | { |
| 1495 | for (auto&& pref : dstPrefs) |
| 1496 | { |
| 1497 | ITensorHandleFactory* dstFactory = registry.GetFactory(pref); |
James Conroy | 47e863d | 2019-11-18 17:07:43 +0000 | [diff] [blame] | 1498 | if (dstFactory && dstFactory->SupportsMapUnmap()) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1499 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1500 | return EdgeStrategy::CopyToTarget; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1501 | } |
| 1502 | } |
| 1503 | } |
| 1504 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1505 | return EdgeStrategy::Undefined; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1506 | } |
| 1507 | |
| 1508 | // Select the TensorHandleFactories and the corresponding memory strategy |
| 1509 | OptimizationResult SelectTensorHandleStrategy(Graph& optGraph, |
| 1510 | BackendsMap& backends, |
| 1511 | TensorHandleFactoryRegistry& registry, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1512 | bool importEnabled, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1513 | Optional<std::vector<std::string>&> errMessages) |
| 1514 | { |
| 1515 | OptimizationResult result; |
| 1516 | |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1517 | optGraph.ForEachLayer([&backends, ®istry, &result, &errMessages, importEnabled](Layer* layer) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1518 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1519 | ARMNN_ASSERT(layer); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1520 | |
| 1521 | // Lets make sure the backend is in our list of supported backends. Something went wrong during backend |
| 1522 | // assignment if this check fails |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1523 | ARMNN_ASSERT(backends.find(layer->GetBackendId()) != backends.end()); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1524 | |
| 1525 | // Check each output separately |
| 1526 | for (unsigned int slotIdx = 0; slotIdx < layer->GetNumOutputSlots(); slotIdx++) |
| 1527 | { |
| 1528 | OutputSlot& outputSlot = layer->GetOutputSlot(slotIdx); |
| 1529 | |
| 1530 | ITensorHandleFactory::FactoryId slotOption = ITensorHandleFactory::LegacyFactoryId; |
| 1531 | |
| 1532 | // Calculate the factory to use which results in the fewest copies being made. |
| 1533 | switch(layer->GetType()) |
| 1534 | { |
| 1535 | case LayerType::Input: |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1536 | slotOption = CalculateSlotOptionForInput(backends, outputSlot, registry, importEnabled); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1537 | break; |
| 1538 | case LayerType::Output: |
| 1539 | slotOption = CalculateSlotOptionForOutput(backends, outputSlot, registry); |
| 1540 | break; |
| 1541 | default: |
Narumol Prangnawarat | e5f0b24 | 2021-05-07 17:52:36 +0100 | [diff] [blame] | 1542 | slotOption = CalculateSlotOption(backends, outputSlot, registry, importEnabled); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1543 | break; |
| 1544 | } |
| 1545 | outputSlot.SetTensorHandleFactory(slotOption); |
| 1546 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1547 | // Now determine the "best" edge strategy for each connection given the slotOption. |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1548 | unsigned int connectionIdx = 0; |
| 1549 | for (auto&& connection : outputSlot.GetConnections()) |
| 1550 | { |
| 1551 | const Layer& connectedLayer = connection->GetOwningLayer(); |
| 1552 | |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1553 | EdgeStrategy strategy = CalculateEdgeStrategy(backends, slotOption, *layer, connectedLayer, |
| 1554 | registry, importEnabled); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1555 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1556 | if (strategy == EdgeStrategy::Undefined) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1557 | { |
| 1558 | result.m_Error = true; |
| 1559 | if (errMessages) |
| 1560 | { |
| 1561 | errMessages.value().emplace_back("Could not find valid strategy required for compatibility" |
| 1562 | " between backends."); |
| 1563 | } |
| 1564 | return; |
| 1565 | } |
| 1566 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1567 | outputSlot.SetEdgeStrategy(connectionIdx, strategy); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1568 | |
| 1569 | connectionIdx++; |
| 1570 | } |
| 1571 | } |
| 1572 | }); |
| 1573 | |
| 1574 | return result; |
| 1575 | } |
| 1576 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1577 | IOptimizedNetworkPtr Optimize(const INetwork& inNetwork, |
| 1578 | const std::vector<BackendId>& backendPreferences, |
| 1579 | const IDeviceSpec& deviceSpec, |
| 1580 | const OptimizerOptions& options, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1581 | Optional<std::vector<std::string>&> messages) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1582 | { |
| 1583 | if (backendPreferences.empty()) |
| 1584 | { |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1585 | throw InvalidArgumentException("Invoked Optimize with no backends specified"); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1586 | } |
| 1587 | |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1588 | if (options.m_ReduceFp32ToFp16 && options.m_ReduceFp32ToBf16) |
| 1589 | { |
| 1590 | throw InvalidArgumentException("BFloat16 and Float16 optimization cannot be enabled at the same time."); |
| 1591 | } |
| 1592 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1593 | std::unique_ptr<Graph> graph = std::make_unique<Graph>(inNetwork.pNetworkImpl->GetGraph()); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1594 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1595 | auto optNet = IOptimizedNetworkPtr(new IOptimizedNetwork(std::move(graph), options.m_ModelOptions), |
Sadik Armagan | 045f6be | 2020-09-10 13:37:32 +0100 | [diff] [blame] | 1596 | &IOptimizedNetwork::Destroy); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1597 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1598 | IOptimizedNetwork* optNetObjPtr = optNet.get(); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1599 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1600 | // Get the optimized graph |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1601 | Graph& optGraph = optNetObjPtr->pOptimizedNetworkImpl->GetGraph(); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1602 | |
Narumol Prangnawarat | 16f82f9 | 2020-09-14 16:12:44 +0100 | [diff] [blame] | 1603 | // Perform AddBroadcastReshapeLayer optimisation |
| 1604 | using namespace optimizations; |
| 1605 | Optimizer::Pass(optGraph, MakeOptimizations(AddBroadcastReshapeLayer())); |
| 1606 | |
Narumol Prangnawarat | bbf71a6 | 2020-09-07 14:05:22 +0100 | [diff] [blame] | 1607 | // Infer the tensor infos for all output slots. Throws an exception on failure |
| 1608 | optGraph.InferTensorInfos(); |
| 1609 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1610 | // Perform optimisation passes |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1611 | Optimizer::Pass(optGraph, MakeOptimizations(SquashEqualPermuteSiblings(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1612 | SquashEqualTransposeSiblings(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1613 | SquashEqualReshapeSiblings(), |
| 1614 | OptimizeInversePermutes(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1615 | OptimizeInverseTransposes(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1616 | MovePermuteUp(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1617 | MoveTransposeUp(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1618 | PermuteAsReshape(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1619 | TransposeAsReshape(), |
Nina Drozd | 861985f | 2019-04-18 14:48:51 +0100 | [diff] [blame] | 1620 | OptimizeConsecutiveReshapes(), |
Rob Hughes | 3a7d3a7 | 2019-09-24 16:59:56 +0100 | [diff] [blame] | 1621 | FoldPadIntoConvolution2d(), |
Teresa Charlin | 5786eb7 | 2021-05-21 16:29:45 +0100 | [diff] [blame] | 1622 | FoldPadIntoDepthwiseConvolution2d(), |
Diego Lopez Recas | fe95d72 | 2021-03-19 12:40:16 +0000 | [diff] [blame] | 1623 | FoldPadIntoPooling2d(), |
Mike Kelly | 490b7be | 2020-03-03 12:39:09 +0000 | [diff] [blame] | 1624 | PermuteAndBatchToSpaceAsDepthToSpace(), |
Teresa Charlin | 06e0300 | 2020-10-15 13:16:07 +0100 | [diff] [blame] | 1625 | TransposeAndBatchToSpaceAsDepthToSpace(), |
Mike Kelly | 90231b8 | 2020-11-05 15:44:56 +0000 | [diff] [blame] | 1626 | FuseBatchNormIntoConvolution2DFloat32(), |
| 1627 | FuseBatchNormIntoConvolution2DFloat16(), |
| 1628 | FuseBatchNormIntoDepthwiseConvolution2DFloat32(), |
| 1629 | FuseBatchNormIntoDepthwiseConvolution2DFloat16())); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1630 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1631 | // If Fp32 to Fp16 optimization is set convert Fp32 network to Fp16 |
| 1632 | if (options.m_ReduceFp32ToFp16) |
| 1633 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1634 | Optimizer::Pass(optGraph, MakeOptimizations(Fp32NetworkToFp16Converter())); |
Derek Lamberti | dd6804b | 2019-11-27 09:29:57 +0000 | [diff] [blame] | 1635 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsFloatToHalf())); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1636 | } |
| 1637 | |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1638 | // If Fp32 to Bf16 optimization is set convert Fp32 network to Bf16 |
Narumol Prangnawarat | 57ef008 | 2020-03-26 09:20:43 +0000 | [diff] [blame] | 1639 | // Convert input of Convolution2d and FullyConnected from Fp32 to Bf16 |
| 1640 | // 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] | 1641 | if (options.m_ReduceFp32ToBf16) |
| 1642 | { |
| 1643 | Optimizer::Pass(optGraph, MakeOptimizations(Fp32NetworkToBf16Converter())); |
Narumol Prangnawarat | bc7ffb5 | 2020-03-20 15:01:01 +0000 | [diff] [blame] | 1644 | } |
| 1645 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1646 | // Initialize backend settings |
| 1647 | BackendSettings backendSettings(backendPreferences, deviceSpec); |
| 1648 | if (backendSettings.GetAvailablePreferredBackends().empty()) |
| 1649 | { |
| 1650 | std::stringstream failureMsg; |
| 1651 | failureMsg << "None of the preferred backends " << backendPreferences |
| 1652 | << " are supported. Current platform provides " << backendSettings.m_SupportedBackends; |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1653 | ReportError(failureMsg.str(), messages); |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1654 | throw InvalidArgumentException(failureMsg.str()); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1655 | } |
| 1656 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1657 | // Create a map to temporarily hold initialized backend objects |
| 1658 | TensorHandleFactoryRegistry tensorHandleFactoryRegistry; |
| 1659 | BackendsMap backends = CreateSupportedBackends(tensorHandleFactoryRegistry, backendSettings); |
| 1660 | |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1661 | // Assign an available backend to each layer |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1662 | Graph::Iterator firstLayer = optGraph.begin(); |
| 1663 | Graph::Iterator lastLayer = optGraph.end(); |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1664 | OptimizationResult assignBackendsResult = AssignBackends(optNetObjPtr->pOptimizedNetworkImpl.get(), |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1665 | backendSettings, |
| 1666 | firstLayer, |
| 1667 | lastLayer, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1668 | messages); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1669 | if (assignBackendsResult.m_Error) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1670 | { |
| 1671 | // Failed to assign a backend to each layer |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1672 | throw InvalidArgumentException("Failed to assign a backend to each layer"); |
jimfly01 | 6b0b53d | 2018-10-08 14:43:01 +0100 | [diff] [blame] | 1673 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1674 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1675 | Optimizer::Pass(optGraph, MakeOptimizations(OptimizeInverseConversionsFp16(), |
| 1676 | OptimizeInverseConversionsFp32())); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1677 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1678 | // Apply the backend-specific optimizations |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1679 | OptimizationResult backendOptimizationResult = ApplyBackendOptimizations(optNetObjPtr->pOptimizedNetworkImpl.get(), |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1680 | backendSettings, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1681 | backends, |
Mike Kelly | 07810fc | 2020-11-12 10:58:48 +0000 | [diff] [blame] | 1682 | options.m_ModelOptions, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1683 | messages); |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1684 | if (backendOptimizationResult.m_Error) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1685 | { |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1686 | // Failed to apply the backend-specific optimizations |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 1687 | throw InvalidArgumentException("Failed to apply the backend-specific optimizations"); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1688 | } |
| 1689 | |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1690 | // If the debug flag is set, then insert a DebugLayer after each layer |
| 1691 | // Doing this after applying the backend optimizations as they might have changed some layers |
| 1692 | if (options.m_Debug) |
| 1693 | { |
| 1694 | Optimizer::Pass(optGraph, MakeOptimizations(InsertDebugLayer())); |
| 1695 | } |
| 1696 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1697 | // Calculate the compatibility strategies for tensor handles |
| 1698 | OptimizationResult strategyResult = SelectTensorHandleStrategy(optGraph, |
| 1699 | backends, |
| 1700 | tensorHandleFactoryRegistry, |
Narumol Prangnawarat | a2493a0 | 2020-08-19 14:39:07 +0100 | [diff] [blame] | 1701 | options.m_ImportEnabled, |
Rob Hughes | 2321443 | 2019-11-05 11:27:36 +0000 | [diff] [blame] | 1702 | messages); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1703 | if (strategyResult.m_Error) |
| 1704 | { |
| 1705 | // Failed to apply the backend-specific optimizations |
| 1706 | return IOptimizedNetworkPtr(nullptr, &IOptimizedNetwork::Destroy); |
| 1707 | } |
| 1708 | |
| 1709 | // Based on the tensor handle strategy determined above, insert copy layers where required. |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 1710 | optGraph.AddCompatibilityLayers(backends, tensorHandleFactoryRegistry); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1711 | |
| 1712 | // Convert constants |
Matteo Martincigh | adddddb | 2019-01-24 14:06:23 +0000 | [diff] [blame] | 1713 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsFloatToHalf())); |
| 1714 | Optimizer::Pass(optGraph, MakeOptimizations(ConvertConstantsHalfToFloat())); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1715 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 1716 | // Run backend specific optimizations (deprecated) |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 1717 | for (auto&& chosenBackend : backendSettings.m_SelectedBackends) |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1718 | { |
| 1719 | auto factoryFun = BackendRegistryInstance().GetFactory(chosenBackend); |
| 1720 | auto backendPtr = factoryFun(); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1721 | ARMNN_ASSERT(backendPtr.get() != nullptr); |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1722 | |
Matteo Martincigh | ed73504 | 2019-05-22 09:42:43 +0100 | [diff] [blame] | 1723 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1724 | auto backendSpecificOptimizations = backendPtr->GetOptimizations(); |
Matteo Martincigh | ed73504 | 2019-05-22 09:42:43 +0100 | [diff] [blame] | 1725 | ARMNN_NO_DEPRECATE_WARN_END |
| 1726 | |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1727 | if (!backendSpecificOptimizations.empty()) |
| 1728 | { |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1729 | Optimizer::Pass(optNetObjPtr->pOptimizedNetworkImpl->GetGraph(), backendSpecificOptimizations); |
David Beck | 263e349 | 2018-11-09 14:46:40 +0000 | [diff] [blame] | 1730 | } |
| 1731 | } |
| 1732 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1733 | return optNet; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1734 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1735 | bool NetworkImpl::GetShapeInferenceMethod() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1736 | { |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 1737 | if (m_NetworkOptions.size() > 0 && m_NetworkOptions[0].GetBackendId().Get() == "ShapeInferenceMethod") |
| 1738 | { |
| 1739 | return m_NetworkOptions[0].GetOption(0).GetValue().AsBool(); |
| 1740 | } |
| 1741 | |
| 1742 | return false; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1743 | } |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1744 | NetworkImpl::NetworkImpl(NetworkOptions networkOptions) |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 1745 | : m_NetworkOptions(networkOptions), |
| 1746 | m_Graph(std::make_unique<Graph>(GetShapeInferenceMethod())) |
| 1747 | {} |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1748 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1749 | NetworkImpl::~NetworkImpl() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1750 | { |
| 1751 | } |
| 1752 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1753 | Status NetworkImpl::PrintGraph() |
Jan Eilers | 99d9d4a | 2019-11-06 10:02:16 +0000 | [diff] [blame] | 1754 | { |
| 1755 | m_Graph->Print(); |
| 1756 | return Status::Success; |
| 1757 | } |
| 1758 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1759 | IConnectableLayer* NetworkImpl::AddInputLayer(LayerBindingId id, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1760 | { |
| 1761 | return m_Graph->AddLayer<InputLayer>(id, name); |
| 1762 | } |
| 1763 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1764 | IConnectableLayer* NetworkImpl::AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor& batchToSpaceNdDescriptor, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 1765 | const char* name) |
| 1766 | { |
| 1767 | return m_Graph->AddLayer<BatchToSpaceNdLayer>(batchToSpaceNdDescriptor, name); |
| 1768 | } |
| 1769 | |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 1770 | IConnectableLayer* NetworkImpl::AddCastLayer(const char* name) |
| 1771 | { |
| 1772 | return m_Graph->AddLayer<CastLayer>(name); |
| 1773 | } |
| 1774 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1775 | IConnectableLayer* NetworkImpl::AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor, |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 1776 | const char* name) |
| 1777 | { |
| 1778 | return m_Graph->AddLayer<ComparisonLayer>(comparisonDescriptor, name); |
| 1779 | } |
| 1780 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1781 | IConnectableLayer* NetworkImpl::AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& elementwiseUnaryDescriptor, |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 1782 | const char* name) |
| 1783 | { |
| 1784 | return m_Graph->AddLayer<ElementwiseUnaryLayer>(elementwiseUnaryDescriptor, name); |
| 1785 | } |
| 1786 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1787 | IConnectableLayer* NetworkImpl::AddFillLayer(const FillDescriptor& fillDescriptor, |
Ryan OShea | ec6c680 | 2020-06-05 17:17:06 +0100 | [diff] [blame] | 1788 | const char* name) |
| 1789 | { |
| 1790 | return m_Graph->AddLayer<FillLayer>(fillDescriptor, name); |
| 1791 | } |
| 1792 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1793 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayerImpl(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1794 | const Optional<ConstTensor>& weights, |
| 1795 | const Optional<ConstTensor>& biases, |
| 1796 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1797 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1798 | if (fullyConnectedDescriptor.m_ConstantWeights && !weights.has_value()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1799 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1800 | throw InvalidArgumentException("AddFullyConnectedLayer: weights cannot be empty"); |
| 1801 | |
| 1802 | if (fullyConnectedDescriptor.m_BiasEnabled && !biases.has_value()) |
| 1803 | { |
| 1804 | throw InvalidArgumentException("AddFullyConnectedLayer: biases cannot be empty"); |
| 1805 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1806 | } |
| 1807 | |
| 1808 | const auto layer = m_Graph->AddLayer<FullyConnectedLayer>(fullyConnectedDescriptor, name); |
| 1809 | |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1810 | if (fullyConnectedDescriptor.m_ConstantWeights) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1811 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1812 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights.value()); |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1813 | if (fullyConnectedDescriptor.m_BiasEnabled) |
| 1814 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1815 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1816 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1817 | } |
| 1818 | |
| 1819 | return layer; |
| 1820 | } |
| 1821 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1822 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1823 | const Optional<ConstTensor>& weights, |
| 1824 | const Optional<ConstTensor>& biases, |
| 1825 | const char* name) |
| 1826 | { |
| 1827 | return AddFullyConnectedLayerImpl(fullyConnectedDescriptor, weights, biases, name); |
| 1828 | } |
| 1829 | |
| 1830 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1831 | const ConstTensor& weights, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1832 | const Optional<ConstTensor>& biases, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1833 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1834 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1835 | Optional<ConstTensor> optionalWeights(weights); |
| 1836 | return AddFullyConnectedLayerImpl(fullyConnectedDescriptor, optionalWeights, biases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1837 | } |
| 1838 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1839 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1840 | const ConstTensor& weights, |
| 1841 | const char* name) |
| 1842 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1843 | Optional<ConstTensor> optionalWeights(weights); |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 1844 | Optional<ConstTensor> biases; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1845 | return AddFullyConnectedLayerImpl(fullyConnectedDescriptor, optionalWeights, biases, name); |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1846 | } |
| 1847 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1848 | IConnectableLayer* NetworkImpl::AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1849 | const ConstTensor& weights, |
| 1850 | const ConstTensor& biases, |
| 1851 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1852 | { |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1853 | Optional<ConstTensor> optionalWeights(weights); |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1854 | Optional<ConstTensor> optionalBiases(biases); |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1855 | return AddFullyConnectedLayerImpl(fullyConnectedDescriptor, optionalWeights, optionalBiases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1856 | } |
| 1857 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1858 | IConnectableLayer* NetworkImpl::AddConcatLayer(const ConcatDescriptor& concatDescriptor, |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1859 | const char* name) |
| 1860 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1861 | return m_Graph->AddLayer<ConcatLayer>(concatDescriptor, name); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1862 | } |
| 1863 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1864 | IConnectableLayer* NetworkImpl::AddConvolution2dLayerImpl(const Convolution2dDescriptor& convolution2dDescriptor, |
| 1865 | const ConstTensor& weights, |
| 1866 | const Optional<ConstTensor>& biases, |
| 1867 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1868 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1869 | if (convolution2dDescriptor.m_BiasEnabled && !biases.has_value()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1870 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1871 | throw InvalidArgumentException("AddConvolution2dLayer: biases cannot be empty"); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1872 | } |
| 1873 | |
| 1874 | const auto layer = m_Graph->AddLayer<Convolution2dLayer>(convolution2dDescriptor, name); |
| 1875 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1876 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1877 | |
| 1878 | if (convolution2dDescriptor.m_BiasEnabled) |
| 1879 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1880 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1881 | } |
| 1882 | |
| 1883 | return layer; |
| 1884 | } |
| 1885 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1886 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1887 | const ConstTensor& weights, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1888 | const Optional<ConstTensor>& biases, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1889 | const char* name) |
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 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1892 | } |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1893 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1894 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1895 | const ConstTensor& weights, |
| 1896 | const char* name) |
| 1897 | { |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 1898 | Optional<ConstTensor> biases; |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1899 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
| 1900 | } |
| 1901 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1902 | IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1903 | const ConstTensor& weights, |
| 1904 | const ConstTensor& biases, |
| 1905 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1906 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1907 | Optional<ConstTensor> optionalBiases(biases); |
| 1908 | return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, optionalBiases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1909 | } |
| 1910 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1911 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayerImpl( |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1912 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1913 | const ConstTensor& weights, |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1914 | const Optional<ConstTensor>& biases, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1915 | const char* name) |
| 1916 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1917 | if (convolution2dDescriptor.m_BiasEnabled && !biases.has_value()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1918 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1919 | throw InvalidArgumentException("AddDepthwiseConvolution2dLayer: biases cannot be empty"); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1920 | } |
| 1921 | |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 1922 | const auto layer = m_Graph->AddLayer<DepthwiseConvolution2dLayer>(convolution2dDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1923 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1924 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1925 | |
| 1926 | if (convolution2dDescriptor.m_BiasEnabled) |
| 1927 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1928 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1929 | } |
| 1930 | |
| 1931 | return layer; |
| 1932 | } |
| 1933 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1934 | IConnectableLayer* NetworkImpl::AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor, |
Aron Virginas-Tar | dd6247f | 2019-09-19 14:31:17 +0100 | [diff] [blame] | 1935 | const char* name) |
| 1936 | { |
| 1937 | return m_Graph->AddLayer<DepthToSpaceLayer>(depthToSpaceDescriptor, name); |
| 1938 | } |
| 1939 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1940 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayer( |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1941 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1942 | const ConstTensor& weights, |
| 1943 | const Optional<ConstTensor>& biases, |
| 1944 | const char* name) |
| 1945 | { |
| 1946 | return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
| 1947 | } |
| 1948 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1949 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayer( |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1950 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1951 | const ConstTensor& weights, |
| 1952 | const char* name) |
| 1953 | { |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 1954 | Optional<ConstTensor> biases; |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1955 | return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1956 | } |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1957 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1958 | IConnectableLayer* NetworkImpl::AddDepthwiseConvolution2dLayer( |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1959 | const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, |
| 1960 | const ConstTensor& weights, |
| 1961 | const ConstTensor& biases, |
| 1962 | const char* name) |
| 1963 | { |
Aron Virginas-Tar | ad40270 | 2019-02-22 17:03:44 +0000 | [diff] [blame] | 1964 | Optional<ConstTensor> optionalBiases(biases); |
| 1965 | return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, optionalBiases, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1966 | } |
| 1967 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1968 | IConnectableLayer* NetworkImpl::AddDetectionPostProcessLayer(const armnn::DetectionPostProcessDescriptor& descriptor, |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 1969 | const ConstTensor& anchors, const char* name) |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 1970 | { |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 1971 | const auto layer = m_Graph->AddLayer<DetectionPostProcessLayer>(descriptor, name); |
| 1972 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 1973 | layer->m_Anchors = std::make_shared<ScopedTensorHandle>(anchors); |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 1974 | |
| 1975 | return layer; |
Narumol Prangnawarat | 94dd5d8 | 2019-01-23 18:06:26 +0000 | [diff] [blame] | 1976 | } |
| 1977 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1978 | IConnectableLayer* NetworkImpl::AddPermuteLayer(const PermuteDescriptor& permuteDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1979 | const char* name) |
| 1980 | { |
| 1981 | return m_Graph->AddLayer<PermuteLayer>(permuteDescriptor, name); |
| 1982 | } |
| 1983 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1984 | IConnectableLayer* NetworkImpl::AddPooling2dLayer(const Pooling2dDescriptor& pooling2dDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1985 | const char* name) |
| 1986 | { |
| 1987 | return m_Graph->AddLayer<Pooling2dLayer>(pooling2dDescriptor, name); |
| 1988 | } |
| 1989 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1990 | IConnectableLayer* NetworkImpl::AddActivationLayer(const ActivationDescriptor& activationDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1991 | const char* name) |
| 1992 | { |
| 1993 | return m_Graph->AddLayer<ActivationLayer>(activationDescriptor, name); |
| 1994 | } |
| 1995 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 1996 | IConnectableLayer* NetworkImpl::AddArgMinMaxLayer(const ArgMinMaxDescriptor& argMinMaxDescriptor, |
Nikhil Raj | ee391d5 | 2019-09-05 17:50:44 +0100 | [diff] [blame] | 1997 | const char* name) |
| 1998 | { |
| 1999 | return m_Graph->AddLayer<ArgMinMaxLayer>(argMinMaxDescriptor, name); |
| 2000 | } |
| 2001 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2002 | IConnectableLayer* NetworkImpl::AddNormalizationLayer(const NormalizationDescriptor& |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2003 | normalizationDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2004 | const char* name) |
| 2005 | { |
| 2006 | return m_Graph->AddLayer<NormalizationLayer>(normalizationDescriptor, name); |
| 2007 | } |
| 2008 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2009 | IConnectableLayer* NetworkImpl::AddSliceLayer(const SliceDescriptor& sliceDescriptor, const char* name) |
Aron Virginas-Tar | 636ab40 | 2019-09-16 14:27:45 +0100 | [diff] [blame] | 2010 | { |
| 2011 | return m_Graph->AddLayer<SliceLayer>(sliceDescriptor, name); |
| 2012 | } |
| 2013 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2014 | IConnectableLayer* NetworkImpl::AddSoftmaxLayer(const SoftmaxDescriptor& softmaxDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2015 | const char* name) |
| 2016 | { |
| 2017 | return m_Graph->AddLayer<SoftmaxLayer>(softmaxDescriptor, name); |
| 2018 | } |
| 2019 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2020 | IConnectableLayer* NetworkImpl::AddSplitterLayer(const ViewsDescriptor& splitterDescriptor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2021 | const char* name) |
| 2022 | { |
| 2023 | return m_Graph->AddLayer<SplitterLayer>(splitterDescriptor, name); |
| 2024 | } |
| 2025 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2026 | IConnectableLayer* NetworkImpl::AddMaximumLayer(const char* name) |
Nattapat Chaimanowong | 5a4304a | 2018-11-28 10:44:37 +0000 | [diff] [blame] | 2027 | { |
| 2028 | return m_Graph->AddLayer<MaximumLayer>(name); |
| 2029 | } |
| 2030 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2031 | IConnectableLayer* NetworkImpl::AddMinimumLayer(const char* name) |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2032 | { |
| 2033 | return m_Graph->AddLayer<MinimumLayer>(name); |
| 2034 | } |
| 2035 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2036 | IConnectableLayer* NetworkImpl::AddMergerLayer(const MergerDescriptor& mergerDescriptor, |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 2037 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2038 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 2039 | return AddConcatLayer(mergerDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2040 | } |
| 2041 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2042 | IConnectableLayer* NetworkImpl::AddAbsLayer(const char * name) |
Kevin May | 868eb14 | 2019-09-04 17:29:31 +0100 | [diff] [blame] | 2043 | { |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 2044 | return AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Abs), name); |
Kevin May | 868eb14 | 2019-09-04 17:29:31 +0100 | [diff] [blame] | 2045 | } |
| 2046 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2047 | IConnectableLayer* NetworkImpl::AddAdditionLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2048 | { |
| 2049 | return m_Graph->AddLayer<AdditionLayer>(name); |
| 2050 | } |
| 2051 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2052 | IConnectableLayer* NetworkImpl::AddMultiplicationLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2053 | { |
| 2054 | return m_Graph->AddLayer<MultiplicationLayer>(name); |
| 2055 | } |
| 2056 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2057 | IConnectableLayer* NetworkImpl::AddOutputLayer(LayerBindingId id, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2058 | { |
| 2059 | return m_Graph->AddLayer<OutputLayer>(id, name); |
| 2060 | } |
| 2061 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2062 | IConnectableLayer* NetworkImpl::AddBatchNormalizationLayer(const BatchNormalizationDescriptor& desc, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2063 | const ConstTensor& mean, |
| 2064 | const ConstTensor& variance, |
| 2065 | const ConstTensor& beta, |
| 2066 | const ConstTensor& gamma, |
| 2067 | const char* name) |
| 2068 | { |
| 2069 | const auto layer = m_Graph->AddLayer<BatchNormalizationLayer>(desc, name); |
| 2070 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2071 | layer->m_Mean = std::make_shared<ScopedTensorHandle>(mean); |
| 2072 | layer->m_Variance = std::make_shared<ScopedTensorHandle>(variance); |
| 2073 | layer->m_Beta = std::make_shared<ScopedTensorHandle>(beta); |
| 2074 | layer->m_Gamma = std::make_shared<ScopedTensorHandle>(gamma); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2075 | |
| 2076 | return layer; |
| 2077 | } |
| 2078 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2079 | IConnectableLayer* NetworkImpl::AddRankLayer(const char* name) |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2080 | { |
| 2081 | return m_Graph->AddLayer<RankLayer>(name); |
| 2082 | } |
| 2083 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2084 | IConnectableLayer* NetworkImpl::AddReduceLayer(const ReduceDescriptor& reduceDescriptor, |
| 2085 | const char* name) |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2086 | { |
| 2087 | return m_Graph->AddLayer<ReduceLayer>(reduceDescriptor, name); |
| 2088 | } |
| 2089 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2090 | IConnectableLayer* NetworkImpl::AddResizeBilinearLayer(const ResizeBilinearDescriptor& descriptor, |
| 2091 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2092 | { |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2093 | ResizeDescriptor resizeDescriptor; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 2094 | resizeDescriptor.m_Method = ResizeMethod::Bilinear; |
| 2095 | resizeDescriptor.m_DataLayout = descriptor.m_DataLayout; |
| 2096 | resizeDescriptor.m_TargetWidth = descriptor.m_TargetWidth; |
| 2097 | resizeDescriptor.m_TargetHeight = descriptor.m_TargetHeight; |
| 2098 | resizeDescriptor.m_AlignCorners = descriptor.m_AlignCorners; |
| 2099 | resizeDescriptor.m_HalfPixelCenters = descriptor.m_HalfPixelCenters; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2100 | |
| 2101 | return m_Graph->AddLayer<ResizeLayer>(resizeDescriptor, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2102 | } |
| 2103 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2104 | IConnectableLayer* NetworkImpl::AddResizeLayer(const ResizeDescriptor& resizeDescriptor, const char* name) |
Teresa Charlin | a9075df | 2019-06-27 15:41:57 +0100 | [diff] [blame] | 2105 | { |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2106 | return m_Graph->AddLayer<ResizeLayer>(resizeDescriptor, name); |
Teresa Charlin | a9075df | 2019-06-27 15:41:57 +0100 | [diff] [blame] | 2107 | } |
| 2108 | |
Keith Davis | 3ae3f97 | 2021-05-21 16:33:48 +0100 | [diff] [blame] | 2109 | IConnectableLayer* NetworkImpl::AddShapeLayer(const char* name) |
| 2110 | { |
| 2111 | return m_Graph->AddLayer<ShapeLayer>(name); |
| 2112 | } |
| 2113 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2114 | IConnectableLayer* NetworkImpl::AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor& desc, |
| 2115 | const char* name) |
Kevin May | ce5045a | 2019-10-02 14:07:47 +0100 | [diff] [blame] | 2116 | { |
| 2117 | return m_Graph->AddLayer<InstanceNormalizationLayer>(desc, name); |
| 2118 | } |
| 2119 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2120 | IConnectableLayer* NetworkImpl::AddL2NormalizationLayer(const L2NormalizationDescriptor& desc, |
| 2121 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2122 | { |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 2123 | return m_Graph->AddLayer<L2NormalizationLayer>(desc, name); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2124 | } |
| 2125 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2126 | IConnectableLayer* NetworkImpl::AddLogSoftmaxLayer(const LogSoftmaxDescriptor& desc, |
Aron Virginas-Tar | f982dea | 2019-10-11 14:07:53 +0100 | [diff] [blame] | 2127 | const char* name) |
| 2128 | { |
| 2129 | return m_Graph->AddLayer<LogSoftmaxLayer>(desc, name); |
| 2130 | } |
| 2131 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2132 | IConnectableLayer* NetworkImpl::AddConstantLayer(const ConstTensor& input, const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2133 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2134 | auto layer = m_Graph->AddLayer<ConstantLayer>(name); |
| 2135 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2136 | layer->m_LayerOutput = std::make_shared<ScopedTensorHandle>(input); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2137 | |
| 2138 | return layer; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2139 | } |
| 2140 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2141 | IConnectableLayer* NetworkImpl::AddReshapeLayer(const ReshapeDescriptor& reshapeDescriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2142 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2143 | { |
| 2144 | return m_Graph->AddLayer<ReshapeLayer>(reshapeDescriptor, name); |
| 2145 | } |
| 2146 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2147 | IConnectableLayer* NetworkImpl::AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
Nattapat Chaimanowong | 207ef9a | 2018-11-02 10:57:25 +0000 | [diff] [blame] | 2148 | const char* name) |
| 2149 | { |
| 2150 | return m_Graph->AddLayer<SpaceToBatchNdLayer>(spaceToBatchNdDescriptor, name); |
| 2151 | } |
| 2152 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2153 | IConnectableLayer* NetworkImpl::AddSpaceToDepthLayer(const SpaceToDepthDescriptor& spaceToDepthDescriptor, |
Aron Virginas-Tar | 972af15 | 2019-06-11 14:14:03 +0100 | [diff] [blame] | 2154 | const char* name) |
| 2155 | { |
| 2156 | return m_Graph->AddLayer<SpaceToDepthLayer>(spaceToDepthDescriptor, name); |
| 2157 | } |
| 2158 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2159 | IConnectableLayer* NetworkImpl::AddFloorLayer(const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2160 | { |
| 2161 | return m_Graph->AddLayer<FloorLayer>(name); |
| 2162 | } |
| 2163 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2164 | IConnectableLayer* NetworkImpl::AddLstmLayer(const LstmDescriptor& descriptor, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2165 | const LstmInputParams& params, |
| 2166 | const char* name) |
| 2167 | { |
| 2168 | const auto layer = m_Graph->AddLayer<LstmLayer>(descriptor, name); |
| 2169 | |
| 2170 | //Lstm Basic Parameters |
| 2171 | layer->m_BasicParameters.m_InputToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2172 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToForgetWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2173 | layer->m_BasicParameters.m_InputToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2174 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToCellWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2175 | layer->m_BasicParameters.m_InputToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2176 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToOutputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2177 | layer->m_BasicParameters.m_RecurrentToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2178 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToForgetWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2179 | layer->m_BasicParameters.m_RecurrentToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2180 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToCellWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2181 | layer->m_BasicParameters.m_RecurrentToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2182 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToOutputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2183 | layer->m_BasicParameters.m_ForgetGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2184 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetGateBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2185 | layer->m_BasicParameters.m_CellBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2186 | std::make_shared<ScopedTensorHandle>(*(params.m_CellBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2187 | layer->m_BasicParameters.m_OutputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2188 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputGateBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2189 | |
| 2190 | //Lstm Cifg parameters |
| 2191 | if(!descriptor.m_CifgEnabled) |
| 2192 | { |
| 2193 | if(params.m_InputToInputWeights == nullptr) |
| 2194 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2195 | throw InvalidArgumentException("AddLstmLayer: Input To Input Weights cannot be NULL " |
| 2196 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2197 | } |
| 2198 | if(params.m_RecurrentToInputWeights == nullptr) |
| 2199 | { |
| 2200 | throw InvalidArgumentException( |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2201 | "AddLstmLayer: Recurrent To Input Weights cannot be NULL " |
| 2202 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2203 | } |
| 2204 | if(params.m_InputGateBias == nullptr) |
| 2205 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2206 | throw InvalidArgumentException("AddLstmLayer: Input Gate Bias cannot be NULL " |
| 2207 | "when CIFG is disabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2208 | } |
| 2209 | layer->m_CifgParameters.m_InputToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2210 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToInputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2211 | layer->m_CifgParameters.m_RecurrentToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2212 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToInputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2213 | layer->m_CifgParameters.m_InputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2214 | std::make_shared<ScopedTensorHandle>(*(params.m_InputGateBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2215 | } |
| 2216 | |
| 2217 | //Lstm projection parameters |
| 2218 | if(descriptor.m_ProjectionEnabled) |
| 2219 | { |
| 2220 | if(params.m_ProjectionWeights == nullptr) |
| 2221 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2222 | throw InvalidArgumentException("AddLstmLayer: Projection Weights cannot be NULL " |
| 2223 | "when projection is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2224 | } |
| 2225 | layer->m_ProjectionParameters.m_ProjectionWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2226 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2227 | if(params.m_ProjectionBias != nullptr) |
| 2228 | { |
| 2229 | layer->m_ProjectionParameters.m_ProjectionBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2230 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionBias)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2231 | } |
| 2232 | } |
| 2233 | |
| 2234 | //Lstm Peephole params |
| 2235 | if(descriptor.m_PeepholeEnabled) |
| 2236 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2237 | if(!descriptor.m_CifgEnabled) |
| 2238 | { |
| 2239 | if(params.m_CellToInputWeights == nullptr) |
| 2240 | { |
| 2241 | throw InvalidArgumentException("AddLstmLayer: Cell To Input Weights cannot be NULL " |
| 2242 | "when Peephole is enabled and CIFG disabled."); |
| 2243 | } |
| 2244 | |
| 2245 | layer->m_PeepholeParameters.m_CellToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2246 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToInputWeights)); |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2247 | } |
| 2248 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2249 | if(params.m_CellToForgetWeights == nullptr) |
| 2250 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2251 | throw InvalidArgumentException("AddLstmLayer: Cell To Forget Weights cannot be NULL " |
| 2252 | "when Peephole is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2253 | } |
| 2254 | if(params.m_CellToOutputWeights == nullptr) |
| 2255 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2256 | throw InvalidArgumentException("AddLstmLayer: Cell To Output Weights cannot be NULL " |
| 2257 | "when Peephole is enabled."); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2258 | } |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2259 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2260 | layer->m_PeepholeParameters.m_CellToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2261 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToForgetWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2262 | layer->m_PeepholeParameters.m_CellToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2263 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToOutputWeights)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2264 | } |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2265 | |
| 2266 | //Lstm Layer Normalization params |
| 2267 | if(descriptor.m_LayerNormEnabled) |
| 2268 | { |
| 2269 | if(!descriptor.m_CifgEnabled) |
| 2270 | { |
| 2271 | if(params.m_InputLayerNormWeights == nullptr) |
| 2272 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2273 | throw InvalidArgumentException("AddLstmLayer: Input layer normalization weights cannot be NULL " |
| 2274 | "when layer normalization is enabled and CIFG disabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2275 | } |
| 2276 | layer->m_LayerNormParameters.m_InputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2277 | std::make_shared<ScopedTensorHandle>(*(params.m_InputLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2278 | } |
| 2279 | |
| 2280 | if(params.m_ForgetLayerNormWeights == nullptr) |
| 2281 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2282 | throw InvalidArgumentException("AddLstmLayer: Forget layer normalization weights cannot be NULL " |
| 2283 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2284 | } |
| 2285 | if(params.m_CellLayerNormWeights == nullptr) |
| 2286 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2287 | throw InvalidArgumentException("AddLstmLayer: Cell layer normalization weights cannot be NULL " |
| 2288 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2289 | } |
| 2290 | if(params.m_OutputLayerNormWeights == nullptr) |
| 2291 | { |
Jan Eilers | e2062cd | 2020-03-30 15:07:45 +0100 | [diff] [blame] | 2292 | throw InvalidArgumentException("AddLstmLayer: Output layer normalization weights cannot be NULL " |
| 2293 | "when layer normalization is enabled."); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2294 | } |
| 2295 | layer->m_LayerNormParameters.m_ForgetLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2296 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2297 | layer->m_LayerNormParameters.m_CellLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2298 | std::make_shared<ScopedTensorHandle>(*(params.m_CellLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2299 | layer->m_LayerNormParameters.m_OutputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2300 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputLayerNormWeights)); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2301 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2302 | return layer; |
| 2303 | } |
| 2304 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2305 | IConnectableLayer* NetworkImpl::AddDivisionLayer(const char* name) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2306 | { |
| 2307 | return m_Graph->AddLayer<DivisionLayer>(name); |
| 2308 | } |
| 2309 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2310 | IConnectableLayer* NetworkImpl::AddSubtractionLayer(const char* name) |
David Beck | 1952622 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2311 | { |
| 2312 | return m_Graph->AddLayer<SubtractionLayer>(name); |
| 2313 | } |
| 2314 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2315 | IConnectableLayer* NetworkImpl::AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name) |
narpra01 | 32b9046 | 2018-09-13 11:07:48 +0100 | [diff] [blame] | 2316 | { |
| 2317 | return m_Graph->AddLayer<MeanLayer>(meanDescriptor,name); |
| 2318 | } |
| 2319 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2320 | IConnectableLayer* NetworkImpl::AddPadLayer(const PadDescriptor& padDescriptor, const char* name) |
Mohamed Nour Abouelseoud | 5662c20 | 2018-09-24 13:30:09 +0100 | [diff] [blame] | 2321 | { |
| 2322 | return m_Graph->AddLayer<PadLayer>(padDescriptor,name); |
| 2323 | } |
| 2324 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2325 | IConnectableLayer *NetworkImpl::AddQuantizeLayer(const char *name) |
Derek Lamberti | a9cca6a | 2019-03-25 15:41:58 +0000 | [diff] [blame] | 2326 | { |
| 2327 | return m_Graph->AddLayer<QuantizeLayer>(name); |
| 2328 | } |
| 2329 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2330 | IConnectableLayer* NetworkImpl::AddDequantizeLayer(const char* name) |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 2331 | { |
| 2332 | return m_Graph->AddLayer<DequantizeLayer>(name); |
| 2333 | } |
| 2334 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2335 | IConnectableLayer* NetworkImpl::AddStridedSliceLayer(const StridedSliceDescriptor& stridedSliceDescriptor, |
Conor Kennedy | 430b5d8 | 2018-11-14 15:28:28 +0000 | [diff] [blame] | 2336 | const char* name) |
| 2337 | { |
| 2338 | return m_Graph->AddLayer<StridedSliceLayer>(stridedSliceDescriptor, name); |
| 2339 | } |
| 2340 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2341 | IConnectableLayer* NetworkImpl::AddGreaterLayer(const char* name) |
Matteo Martincigh | 59a950c | 2018-12-13 12:48:25 +0000 | [diff] [blame] | 2342 | { |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 2343 | return AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Greater), name); |
Matteo Martincigh | 59a950c | 2018-12-13 12:48:25 +0000 | [diff] [blame] | 2344 | } |
| 2345 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2346 | IConnectableLayer* NetworkImpl::AddEqualLayer(const char* name) |
FrancisMurtagh | 2099595 | 2018-12-17 12:11:36 +0000 | [diff] [blame] | 2347 | { |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 2348 | return AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Equal), name); |
FrancisMurtagh | 2099595 | 2018-12-17 12:11:36 +0000 | [diff] [blame] | 2349 | } |
| 2350 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2351 | IConnectableLayer* NetworkImpl::AddRsqrtLayer(const char * name) |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 2352 | { |
josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 2353 | return AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt), name); |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 2354 | } |
| 2355 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2356 | IConnectableLayer* NetworkImpl::AddGatherLayer(const char* name) |
narpra01 | b89b05f | 2019-01-16 09:53:09 +0000 | [diff] [blame] | 2357 | { |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 2358 | GatherDescriptor gatherDescriptor{}; |
| 2359 | return AddGatherLayer(gatherDescriptor, name); |
| 2360 | } |
| 2361 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2362 | IConnectableLayer* NetworkImpl::AddGatherLayer(const GatherDescriptor& gatherDescriptor, |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 2363 | const char* name) |
| 2364 | { |
| 2365 | return m_Graph->AddLayer<GatherLayer>(gatherDescriptor, name); |
narpra01 | b89b05f | 2019-01-16 09:53:09 +0000 | [diff] [blame] | 2366 | } |
| 2367 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2368 | IConnectableLayer* NetworkImpl::AddMergeLayer(const char* name) |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 2369 | { |
| 2370 | return m_Graph->AddLayer<MergeLayer>(name); |
| 2371 | } |
| 2372 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2373 | IConnectableLayer* NetworkImpl::AddSwitchLayer(const char* name) |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2374 | { |
| 2375 | return m_Graph->AddLayer<SwitchLayer>(name); |
| 2376 | } |
| 2377 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2378 | IConnectableLayer* NetworkImpl::AddPreluLayer(const char* name) |
Matteo Martincigh | 0e406ee | 2019-06-12 15:42:18 +0100 | [diff] [blame] | 2379 | { |
| 2380 | return m_Graph->AddLayer<PreluLayer>(name); |
| 2381 | } |
| 2382 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2383 | IConnectableLayer* NetworkImpl::AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& descriptor, |
Aron Virginas-Tar | 639fb04 | 2019-06-20 14:28:19 +0100 | [diff] [blame] | 2384 | const ConstTensor& weights, |
| 2385 | const Optional<ConstTensor>& biases, |
| 2386 | const char* name) |
| 2387 | { |
| 2388 | if (descriptor.m_BiasEnabled && !biases.has_value()) |
| 2389 | { |
| 2390 | throw InvalidArgumentException("AddTransposeConvolution2dLayer: Biases cannot be empty"); |
| 2391 | } |
| 2392 | |
| 2393 | const auto layer = m_Graph->AddLayer<TransposeConvolution2dLayer>(descriptor, name); |
| 2394 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2395 | layer->m_Weight = std::make_shared<ScopedTensorHandle>(weights); |
Aron Virginas-Tar | 639fb04 | 2019-06-20 14:28:19 +0100 | [diff] [blame] | 2396 | |
| 2397 | if (descriptor.m_BiasEnabled) |
| 2398 | { |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2399 | layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.value()); |
Aron Virginas-Tar | 639fb04 | 2019-06-20 14:28:19 +0100 | [diff] [blame] | 2400 | } |
| 2401 | |
| 2402 | return layer; |
| 2403 | } |
| 2404 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2405 | IConnectableLayer* NetworkImpl::AddTransposeLayer(const TransposeDescriptor& transposeDescriptor, |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2406 | const char* name) |
| 2407 | { |
| 2408 | return m_Graph->AddLayer<TransposeLayer>(transposeDescriptor, name); |
| 2409 | } |
| 2410 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2411 | IConnectableLayer* NetworkImpl::AddStackLayer(const StackDescriptor& stackDescriptor, |
Matthew Jackson | 2b8c1da | 2019-07-04 14:59:16 +0100 | [diff] [blame] | 2412 | const char* name) |
| 2413 | { |
| 2414 | return m_Graph->AddLayer<StackLayer>(stackDescriptor, name); |
| 2415 | } |
| 2416 | |
Derek Lamberti | 013c390 | 2019-10-21 10:46:16 +0100 | [diff] [blame] | 2417 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2418 | IConnectableLayer* NetworkImpl::AddStandInLayer(const StandInDescriptor& desc, |
Derek Lamberti | 013c390 | 2019-10-21 10:46:16 +0100 | [diff] [blame] | 2419 | const char* name) |
| 2420 | { |
| 2421 | return m_Graph->AddLayer<StandInLayer>(desc, name); |
| 2422 | } |
| 2423 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2424 | IConnectableLayer* NetworkImpl::AddQuantizedLstmLayer(const QuantizedLstmInputParams& params, |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2425 | const char* name) |
| 2426 | { |
| 2427 | const auto layer = m_Graph->AddLayer<QuantizedLstmLayer>(name); |
| 2428 | |
| 2429 | // InputToX weights |
| 2430 | layer->m_QuantizedLstmParameters.m_InputToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2431 | std::make_shared<ScopedTensorHandle>(params.GetInputToInputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2432 | layer->m_QuantizedLstmParameters.m_InputToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2433 | std::make_shared<ScopedTensorHandle>(params.GetInputToForgetWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2434 | layer->m_QuantizedLstmParameters.m_InputToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2435 | std::make_shared<ScopedTensorHandle>(params.GetInputToCellWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2436 | layer->m_QuantizedLstmParameters.m_InputToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2437 | std::make_shared<ScopedTensorHandle>(params.GetInputToOutputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2438 | |
| 2439 | // RecurrentToX weights |
| 2440 | layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2441 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToInputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2442 | layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2443 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToForgetWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2444 | layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2445 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToCellWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2446 | layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2447 | std::make_shared<ScopedTensorHandle>(params.GetRecurrentToOutputWeights()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2448 | |
| 2449 | // Bias |
| 2450 | layer->m_QuantizedLstmParameters.m_InputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2451 | std::make_shared<ScopedTensorHandle>(params.GetInputGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2452 | layer->m_QuantizedLstmParameters.m_ForgetGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2453 | std::make_shared<ScopedTensorHandle>(params.GetForgetGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2454 | layer->m_QuantizedLstmParameters.m_CellBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2455 | std::make_shared<ScopedTensorHandle>(params.GetCellBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2456 | layer->m_QuantizedLstmParameters.m_OutputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2457 | std::make_shared<ScopedTensorHandle>(params.GetOutputGateBias()); |
James Conroy | ee18dc8 | 2019-07-17 11:27:46 +0100 | [diff] [blame] | 2458 | |
| 2459 | return layer; |
| 2460 | } |
| 2461 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2462 | IConnectableLayer* NetworkImpl::AddQLstmLayer(const QLstmDescriptor& descriptor, |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2463 | const LstmInputParams& params, |
| 2464 | const char* name) |
| 2465 | { |
| 2466 | const auto layer = m_Graph->AddLayer<QLstmLayer>(descriptor, name); |
| 2467 | |
| 2468 | // QLstm Basic Parameters |
| 2469 | layer->m_BasicParameters.m_InputToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2470 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToForgetWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2471 | layer->m_BasicParameters.m_InputToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2472 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToCellWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2473 | layer->m_BasicParameters.m_InputToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2474 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToOutputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2475 | layer->m_BasicParameters.m_RecurrentToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2476 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToForgetWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2477 | layer->m_BasicParameters.m_RecurrentToCellWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2478 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToCellWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2479 | layer->m_BasicParameters.m_RecurrentToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2480 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToOutputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2481 | layer->m_BasicParameters.m_ForgetGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2482 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetGateBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2483 | layer->m_BasicParameters.m_CellBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2484 | std::make_shared<ScopedTensorHandle>(*(params.m_CellBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2485 | layer->m_BasicParameters.m_OutputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2486 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputGateBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2487 | |
| 2488 | // QLstm Cifg parameters |
| 2489 | if(!descriptor.m_CifgEnabled) |
| 2490 | { |
| 2491 | if(params.m_InputToInputWeights == nullptr) |
| 2492 | { |
| 2493 | throw InvalidArgumentException("AddQLstmLayer: Input To Input Weights cannot be NULL"); |
| 2494 | } |
| 2495 | |
| 2496 | if(params.m_RecurrentToInputWeights == nullptr) |
| 2497 | { |
| 2498 | throw InvalidArgumentException( |
| 2499 | "AddQLstmLayer: Recurrent To Input Weights cannot be NULL"); |
| 2500 | } |
| 2501 | |
| 2502 | if(params.m_InputGateBias == nullptr) |
| 2503 | { |
| 2504 | throw InvalidArgumentException("AddQLstmLayer: Input Gate Bias cannot be NULL"); |
| 2505 | } |
| 2506 | |
| 2507 | layer->m_CifgParameters.m_InputToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2508 | std::make_shared<ScopedTensorHandle>(*(params.m_InputToInputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2509 | layer->m_CifgParameters.m_RecurrentToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2510 | std::make_shared<ScopedTensorHandle>(*(params.m_RecurrentToInputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2511 | layer->m_CifgParameters.m_InputGateBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2512 | std::make_shared<ScopedTensorHandle>(*(params.m_InputGateBias)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2513 | } |
| 2514 | |
| 2515 | // QLstm Projection parameters |
| 2516 | if(descriptor.m_ProjectionEnabled) |
| 2517 | { |
| 2518 | if(params.m_ProjectionWeights == nullptr) |
| 2519 | { |
| 2520 | throw InvalidArgumentException("AddQLstmLayer: Projection Weights cannot be NULL"); |
| 2521 | } |
| 2522 | |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2523 | layer->m_ProjectionParameters.m_ProjectionWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2524 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionWeights)); |
James Conroy | ed32405 | 2020-05-18 15:16:42 +0100 | [diff] [blame] | 2525 | |
| 2526 | // Projection bias is optional even if projection is enabled |
| 2527 | if(params.m_ProjectionWeights != nullptr) |
| 2528 | { |
| 2529 | layer->m_ProjectionParameters.m_ProjectionBias = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2530 | std::make_shared<ScopedTensorHandle>(*(params.m_ProjectionBias)); |
James Conroy | ed32405 | 2020-05-18 15:16:42 +0100 | [diff] [blame] | 2531 | } |
| 2532 | |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2533 | } |
| 2534 | |
| 2535 | // QLstm Peephole params |
| 2536 | if(descriptor.m_PeepholeEnabled) |
| 2537 | { |
| 2538 | if(params.m_CellToForgetWeights == nullptr) |
| 2539 | { |
| 2540 | throw InvalidArgumentException("AddQLstmLayer: Cell To Forget Weights cannot be NULL"); |
| 2541 | } |
| 2542 | |
| 2543 | if(params.m_CellToOutputWeights == nullptr) |
| 2544 | { |
| 2545 | throw InvalidArgumentException("AddQLstmLayer: Cell To Output Weights cannot be NULL"); |
| 2546 | } |
| 2547 | |
| 2548 | if(!descriptor.m_CifgEnabled) |
| 2549 | { |
| 2550 | if(params.m_CellToInputWeights == nullptr) |
| 2551 | { |
| 2552 | throw InvalidArgumentException("AddQLstmLayer: Cell To Input Weights cannot be NULL"); |
| 2553 | } |
| 2554 | |
| 2555 | layer->m_PeepholeParameters.m_CellToInputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2556 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToInputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2557 | } |
| 2558 | |
| 2559 | layer->m_PeepholeParameters.m_CellToForgetWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2560 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToForgetWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2561 | layer->m_PeepholeParameters.m_CellToOutputWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2562 | std::make_shared<ScopedTensorHandle>(*(params.m_CellToOutputWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2563 | } |
| 2564 | |
| 2565 | // QLstm Layer Normalization params |
| 2566 | if(descriptor.m_LayerNormEnabled) |
| 2567 | { |
| 2568 | if(params.m_ForgetLayerNormWeights == nullptr) |
| 2569 | { |
| 2570 | throw InvalidArgumentException("AddQLstmLayer: Forget layer normalization weights cannot be NULL"); |
| 2571 | } |
| 2572 | |
| 2573 | if(params.m_CellLayerNormWeights == nullptr) |
| 2574 | { |
| 2575 | throw InvalidArgumentException("AddQLstmLayer: Cell layer normalization weights cannot be NULL"); |
| 2576 | } |
| 2577 | |
| 2578 | if(params.m_OutputLayerNormWeights == nullptr) |
| 2579 | { |
| 2580 | throw InvalidArgumentException("AddQLstmLayer: Output layer normalization weights cannot be NULL"); |
| 2581 | } |
| 2582 | |
| 2583 | if(!descriptor.m_CifgEnabled) |
| 2584 | { |
| 2585 | if(params.m_InputLayerNormWeights == nullptr) |
| 2586 | { |
| 2587 | throw InvalidArgumentException("AddQLstmLayer: Input layer normalization weights cannot be NULL"); |
| 2588 | } |
| 2589 | |
| 2590 | layer->m_LayerNormParameters.m_InputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2591 | std::make_shared<ScopedTensorHandle>(*(params.m_InputLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2592 | } |
| 2593 | |
| 2594 | layer->m_LayerNormParameters.m_ForgetLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2595 | std::make_shared<ScopedTensorHandle>(*(params.m_ForgetLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2596 | layer->m_LayerNormParameters.m_CellLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2597 | std::make_shared<ScopedTensorHandle>(*(params.m_CellLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2598 | layer->m_LayerNormParameters.m_OutputLayerNormWeights = |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 2599 | std::make_shared<ScopedTensorHandle>(*(params.m_OutputLayerNormWeights)); |
James Conroy | 586a9aa | 2020-03-20 08:49:33 +0000 | [diff] [blame] | 2600 | } |
| 2601 | return layer; |
| 2602 | } |
| 2603 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2604 | IConnectableLayer* NetworkImpl::AddLogicalBinaryLayer(const LogicalBinaryDescriptor& logicalBinaryDescriptor, |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 2605 | const char* name) |
| 2606 | { |
| 2607 | return m_Graph->AddLayer<LogicalBinaryLayer>(logicalBinaryDescriptor, name); |
| 2608 | } |
| 2609 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2610 | void NetworkImpl::Accept(ILayerVisitor& visitor) const |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 2611 | { |
| 2612 | for (auto layer : GetGraph()) |
| 2613 | { |
| 2614 | layer->Accept(visitor); |
| 2615 | }; |
| 2616 | } |
| 2617 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2618 | void NetworkImpl::ExecuteStrategy(IStrategy& strategy) const |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2619 | { |
| 2620 | for (auto layer : GetGraph()) |
| 2621 | { |
| 2622 | layer->ExecuteStrategy(strategy); |
| 2623 | }; |
| 2624 | } |
| 2625 | |
Mike Kelly | 0d677db | 2021-06-27 22:39:21 +0100 | [diff] [blame^] | 2626 | OptimizedNetworkImpl::OptimizedNetworkImpl(const OptimizedNetworkImpl& other, const ModelOptions& modelOptions) |
| 2627 | : m_Graph(new Graph(*other.m_Graph.get())) |
| 2628 | , m_Guid(profiling::ProfilingService::GetNextGuid()) |
| 2629 | , m_ModelOptions(modelOptions) |
| 2630 | { |
| 2631 | } |
| 2632 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2633 | OptimizedNetworkImpl::OptimizedNetworkImpl(std::unique_ptr<Graph> graph) |
Sadik Armagan | 3184c90 | 2020-03-18 10:57:30 +0000 | [diff] [blame] | 2634 | : m_Graph(std::move(graph)), m_Guid(profiling::ProfilingService::GetNextGuid()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2635 | { |
| 2636 | } |
| 2637 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2638 | OptimizedNetworkImpl::OptimizedNetworkImpl(std::unique_ptr<Graph> graph, const ModelOptions& modelOptions) |
Sadik Armagan | 045f6be | 2020-09-10 13:37:32 +0100 | [diff] [blame] | 2639 | : m_Graph(std::move(graph)), m_Guid(profiling::ProfilingService::GetNextGuid()), m_ModelOptions(modelOptions) |
| 2640 | { |
| 2641 | } |
| 2642 | |
Francis Murtagh | 3d2b4b2 | 2021-02-15 18:23:17 +0000 | [diff] [blame] | 2643 | OptimizedNetworkImpl::~OptimizedNetworkImpl() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2644 | { |
| 2645 | } |
| 2646 | |
| 2647 | } // namespace armnn |