Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <armnn_delegate.hpp> |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 7 | #include <OpaqueDelegateUtils.hpp> |
Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 8 | |
Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 9 | #include "Activation.hpp" |
| 10 | #include "ArgMinMax.hpp" |
| 11 | #include "BatchMatMul.hpp" |
| 12 | #include "BatchSpace.hpp" |
| 13 | #include "Comparison.hpp" |
| 14 | #include "Convolution.hpp" |
| 15 | #include "Control.hpp" |
| 16 | #include "ElementwiseBinary.hpp" |
| 17 | #include "ElementwiseUnary.hpp" |
| 18 | #include "Fill.hpp" |
| 19 | #include "FullyConnected.hpp" |
| 20 | #include "Gather.hpp" |
| 21 | #include "GatherNd.hpp" |
| 22 | #include "LogicalBinary.hpp" |
| 23 | #include "Lstm.hpp" |
| 24 | #include "Normalization.hpp" |
| 25 | #include "Pack.hpp" |
| 26 | #include "Pad.hpp" |
| 27 | #include "Pooling.hpp" |
| 28 | #include "Prelu.hpp" |
| 29 | #include "Quantization.hpp" |
| 30 | #include "Redefine.hpp" |
| 31 | #include "Reduce.hpp" |
| 32 | #include "Resize.hpp" |
Tracy Narine | 7306bbe | 2023-07-17 16:06:26 +0100 | [diff] [blame^] | 33 | #include "ReverseV2.hpp" |
Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 34 | #include "Round.hpp" |
| 35 | #include "Shape.hpp" |
| 36 | #include "Slice.hpp" |
| 37 | #include "StridedSlice.hpp" |
| 38 | #include "Softmax.hpp" |
| 39 | #include "SpaceDepth.hpp" |
| 40 | #include "Split.hpp" |
| 41 | #include "Transpose.hpp" |
| 42 | #include "UnidirectionalSequenceLstm.hpp" |
| 43 | #include "Unpack.hpp" |
| 44 | |
| 45 | #include <armnn/utility/IgnoreUnused.hpp> |
| 46 | #include <armnnUtils/Filesystem.hpp> |
| 47 | #include <armnn/utility/Timer.hpp> |
| 48 | #include <flatbuffers/flatbuffers.h> |
| 49 | #include <tensorflow/lite/context_util.h> |
| 50 | #include <tensorflow/lite/schema/schema_generated.h> |
| 51 | #include <tensorflow/lite/minimal_logging.h> |
Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 52 | |
| 53 | #include <algorithm> |
| 54 | #include <iostream> |
| 55 | #include <sstream> |
| 56 | |
| 57 | namespace armnnOpaqueDelegate |
| 58 | { |
| 59 | |
Narumol Prangnawarat | 26654cb | 2023-05-03 16:08:11 +0100 | [diff] [blame] | 60 | static auto* g_delegate_plugin_ArmnnDelegatePlugin_ = |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 61 | new tflite::delegates::DelegatePluginRegistry::Register("armnn_delegate", |
Narumol Prangnawarat | 26654cb | 2023-05-03 16:08:11 +0100 | [diff] [blame] | 62 | ArmnnDelegatePlugin::New); |
| 63 | |
Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 64 | ArmnnOpaqueDelegate::ArmnnOpaqueDelegate(armnnDelegate::DelegateOptions options) |
| 65 | : m_Options(std::move(options)) |
| 66 | { |
| 67 | // Configures logging for ARMNN |
| 68 | if (m_Options.IsLoggingEnabled()) |
| 69 | { |
| 70 | armnn::ConfigureLogging(true, true, m_Options.GetLoggingSeverity()); |
| 71 | } |
| 72 | // Create/Get the static ArmNN Runtime. Note that the m_Runtime will be shared by all armnn_delegate |
| 73 | // instances so the RuntimeOptions cannot be altered for different armnn_delegate instances. |
| 74 | m_Runtime = GetRuntime(m_Options.GetRuntimeOptions()); |
| 75 | std::vector<armnn::BackendId> backends; |
| 76 | if (m_Runtime) |
| 77 | { |
| 78 | const armnn::BackendIdSet supportedDevices = m_Runtime->GetDeviceSpec().GetSupportedBackends(); |
| 79 | for (auto& backend : m_Options.GetBackends()) |
| 80 | { |
| 81 | if (std::find(supportedDevices.cbegin(), supportedDevices.cend(), backend) == supportedDevices.cend()) |
| 82 | { |
| 83 | TFLITE_LOG_PROD(tflite::TFLITE_LOG_INFO, |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 84 | "TfLiteArmnnOpaqueDelegate: Requested unknown backend %s", backend.Get().c_str()); |
Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 85 | } |
| 86 | else |
| 87 | { |
| 88 | backends.push_back(backend); |
| 89 | } |
| 90 | } |
| 91 | } |
| 92 | |
| 93 | if (backends.empty()) |
| 94 | { |
| 95 | // No known backend specified |
| 96 | throw armnn::InvalidArgumentException("TfLiteArmnnOpaqueDelegate: No known backend specified."); |
| 97 | } |
| 98 | m_Options.SetBackends(backends); |
| 99 | |
| 100 | TFLITE_LOG_PROD_ONCE(tflite::TFLITE_LOG_INFO, "TfLiteArmnnOpaqueDelegate: Created TfLite ArmNN delegate."); |
| 101 | } |
| 102 | |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 103 | TfLiteStatus DoPrepare(TfLiteOpaqueContext* tfLiteContext, TfLiteOpaqueDelegate* tfLiteDelegate, void* data) |
Matthew Sloyan | 54cf011 | 2023-04-03 16:32:57 +0100 | [diff] [blame] | 104 | { |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 105 | // We are required to have the void* data parameter in the function signature, but we don't actually use it. |
| 106 | armnn::IgnoreUnused(data); |
| 107 | |
Matthew Sloyan | 54cf011 | 2023-04-03 16:32:57 +0100 | [diff] [blame] | 108 | TfLiteIntArray* supportedOperators = |
| 109 | static_cast<::armnnOpaqueDelegate::ArmnnOpaqueDelegate*> |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 110 | (TfLiteOpaqueDelegateGetData(tfLiteDelegate))->IdentifyOperatorsToDelegate(tfLiteContext); |
Matthew Sloyan | 54cf011 | 2023-04-03 16:32:57 +0100 | [diff] [blame] | 111 | if(supportedOperators == nullptr) |
| 112 | { |
| 113 | return kTfLiteError; |
| 114 | } |
| 115 | |
| 116 | // ArmNN Opaque Delegate Registration |
| 117 | TfLiteRegistrationExternal* kernelRegistration = |
Narumol Prangnawarat | 26654cb | 2023-05-03 16:08:11 +0100 | [diff] [blame] | 118 | TfLiteRegistrationExternalCreate(kTfLiteBuiltinDelegate, |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 119 | "armnn_delegate", |
Narumol Prangnawarat | 26654cb | 2023-05-03 16:08:11 +0100 | [diff] [blame] | 120 | /*version=*/OPAQUE_DELEGATE_MAJOR_VERSION); |
Matthew Sloyan | 54cf011 | 2023-04-03 16:32:57 +0100 | [diff] [blame] | 121 | if(kernelRegistration == nullptr) |
| 122 | { |
| 123 | return kTfLiteError; |
| 124 | } |
| 125 | |
| 126 | TfLiteRegistrationExternalSetInit( |
| 127 | kernelRegistration, |
| 128 | [](TfLiteOpaqueContext* tfLiteContext, const char* buffer, size_t length) -> void* |
| 129 | { |
| 130 | armnn::IgnoreUnused(length); |
| 131 | const TfLiteOpaqueDelegateParams* parameters = |
| 132 | reinterpret_cast<const TfLiteOpaqueDelegateParams*>(buffer); |
| 133 | if(parameters == nullptr) |
| 134 | { |
| 135 | TF_LITE_OPAQUE_KERNEL_LOG(tfLiteContext, |
| 136 | "TfLiteArmnnOpaqueDelegate: Unable to get parameters."); |
| 137 | return nullptr; |
| 138 | } |
| 139 | |
| 140 | return static_cast<void*>( |
| 141 | ArmnnSubgraph::Create(tfLiteContext, |
| 142 | parameters, |
| 143 | static_cast<::armnnOpaqueDelegate::ArmnnOpaqueDelegate*>( |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 144 | parameters->delegate->opaque_delegate_builder->data))); |
Matthew Sloyan | 54cf011 | 2023-04-03 16:32:57 +0100 | [diff] [blame] | 145 | } |
| 146 | ); |
| 147 | |
| 148 | TfLiteRegistrationExternalSetFree( |
| 149 | kernelRegistration, |
| 150 | [](TfLiteOpaqueContext* tfLiteContext, void* buffer) -> void |
| 151 | { |
| 152 | armnn::IgnoreUnused(tfLiteContext); |
| 153 | if (buffer != nullptr) |
| 154 | { |
| 155 | delete static_cast<ArmnnSubgraph*>(buffer); |
| 156 | } |
| 157 | } |
| 158 | ); |
| 159 | |
| 160 | TfLiteRegistrationExternalSetPrepare( |
| 161 | kernelRegistration, |
| 162 | [](TfLiteOpaqueContext* tfLiteContext, TfLiteOpaqueNode* tfLiteNode) -> TfLiteStatus |
| 163 | { |
| 164 | void* userData = TfLiteOpaqueNodeGetUserData(tfLiteNode); |
| 165 | if (userData == nullptr) |
| 166 | { |
| 167 | return kTfLiteError; |
| 168 | } |
| 169 | return static_cast<ArmnnSubgraph*>(userData)->Prepare(tfLiteContext); |
| 170 | } |
| 171 | ); |
| 172 | |
| 173 | TfLiteRegistrationExternalSetInvoke( |
| 174 | kernelRegistration, |
| 175 | [](TfLiteOpaqueContext* tfLiteContext, TfLiteOpaqueNode* tfLiteNode) -> TfLiteStatus |
| 176 | { |
| 177 | void* userData = TfLiteOpaqueNodeGetUserData(tfLiteNode); |
| 178 | if (userData == nullptr) |
| 179 | { |
| 180 | return kTfLiteError; |
| 181 | } |
| 182 | |
| 183 | return static_cast<ArmnnSubgraph*>(userData)->Invoke(tfLiteContext, tfLiteNode); |
| 184 | } |
| 185 | ); |
| 186 | |
| 187 | const TfLiteStatus status = |
| 188 | TfLiteOpaqueContextReplaceNodeSubsetsWithDelegateKernels( |
| 189 | tfLiteContext, kernelRegistration, supportedOperators, tfLiteDelegate); |
| 190 | |
| 191 | TfLiteIntArrayFree(supportedOperators); |
| 192 | return status; |
| 193 | } |
| 194 | |
Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 195 | TfLiteOpaqueDelegate* TfLiteArmnnOpaqueDelegateCreate(const void* settings) |
| 196 | { |
| 197 | // This method will always create Opaque Delegate with default settings until |
| 198 | // we have a DelegateOptions Constructor which can parse the void* settings |
| 199 | armnn::IgnoreUnused(settings); |
| 200 | auto options = TfLiteArmnnDelegateOptionsDefault(); |
| 201 | auto* armnnDelegate = new ::armnnOpaqueDelegate::ArmnnOpaqueDelegate(options); |
| 202 | return TfLiteOpaqueDelegateCreate(armnnDelegate->GetDelegateBuilder()); |
| 203 | } |
| 204 | |
| 205 | ::armnnDelegate::DelegateOptions TfLiteArmnnDelegateOptionsDefault() |
| 206 | { |
| 207 | ::armnnDelegate::DelegateOptions options(armnn::Compute::CpuRef); |
| 208 | return options; |
| 209 | } |
| 210 | |
| 211 | void TfLiteArmnnOpaqueDelegateDelete(TfLiteOpaqueDelegate* tfLiteDelegate) |
| 212 | { |
| 213 | if (tfLiteDelegate != nullptr) |
| 214 | { |
| 215 | delete static_cast<::armnnOpaqueDelegate::ArmnnOpaqueDelegate*>(TfLiteOpaqueDelegateGetData(tfLiteDelegate)); |
| 216 | TfLiteOpaqueDelegateDelete(tfLiteDelegate); |
| 217 | } |
| 218 | } |
| 219 | |
Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 220 | const std::string ArmnnOpaqueDelegate::GetVersion() { |
| 221 | return OPAQUE_DELEGATE_VERSION; |
| 222 | } |
| 223 | |
Matthew Sloyan | 54cf011 | 2023-04-03 16:32:57 +0100 | [diff] [blame] | 224 | TfLiteIntArray* ArmnnOpaqueDelegate::IdentifyOperatorsToDelegate(TfLiteOpaqueContext* tfLiteContext) |
| 225 | { |
| 226 | TfLiteIntArray* executionPlan = nullptr; |
| 227 | if (TfLiteOpaqueContextGetExecutionPlan(tfLiteContext, &executionPlan) != kTfLiteOk) |
| 228 | { |
| 229 | TF_LITE_OPAQUE_KERNEL_LOG(tfLiteContext, "TfLiteArmnnOpaqueDelegate: Unable to get graph execution plan."); |
| 230 | return nullptr; |
| 231 | } |
| 232 | |
| 233 | // Delegate data with null network |
| 234 | DelegateData delegateData(m_Options.GetBackends()); |
| 235 | |
| 236 | TfLiteIntArray* nodesToDelegate = TfLiteIntArrayCreate(executionPlan->size); |
| 237 | if (nodesToDelegate == nullptr) |
| 238 | { |
| 239 | TF_LITE_OPAQUE_KERNEL_LOG(tfLiteContext, |
| 240 | "TfLiteArmnnOpaqueDelegate: Unable to create int array from execution plan."); |
| 241 | return nullptr; |
| 242 | } |
| 243 | nodesToDelegate->size = 0; |
| 244 | |
| 245 | std::set<int32_t> unsupportedOperators; |
| 246 | |
| 247 | for (int i = 0; i < executionPlan->size; ++i) |
| 248 | { |
| 249 | const int nodeIndex = executionPlan->data[i]; |
| 250 | |
| 251 | // If TfLiteOpaqueNodes can be delegated to ArmNN |
| 252 | TfLiteOpaqueNode* tfLiteNode = nullptr; |
| 253 | TfLiteRegistrationExternal* tfLiteRegistration = nullptr; |
| 254 | |
| 255 | if (TfLiteOpaqueContextGetNodeAndRegistration( |
| 256 | tfLiteContext, nodeIndex, &tfLiteNode, &tfLiteRegistration) != kTfLiteOk) |
| 257 | { |
| 258 | TF_LITE_OPAQUE_KERNEL_LOG(tfLiteContext, |
| 259 | "TfLiteArmnnOpaqueDelegate: Unable to get node and registration for node %d.", |
| 260 | nodeIndex); |
| 261 | continue; |
| 262 | } |
| 263 | |
| 264 | TfLiteStatus visitStatus; |
| 265 | try |
| 266 | { |
| 267 | visitStatus = ArmnnSubgraph::VisitNode( |
| 268 | delegateData, tfLiteContext, tfLiteRegistration, tfLiteNode, nodeIndex); |
| 269 | } |
| 270 | catch(std::exception& ex) |
| 271 | { |
| 272 | ARMNN_LOG(error) << "ArmNN Failed to visit node with error: " << ex.what(); |
| 273 | visitStatus = kTfLiteError; |
| 274 | } |
| 275 | |
| 276 | if (visitStatus != kTfLiteOk) |
| 277 | { |
| 278 | // node is not supported by ArmNN |
| 279 | unsupportedOperators.insert(TfLiteRegistrationExternalGetBuiltInCode(tfLiteRegistration)); |
| 280 | continue; |
| 281 | } |
| 282 | |
| 283 | nodesToDelegate->data[nodesToDelegate->size++] = nodeIndex; |
| 284 | } |
| 285 | |
| 286 | for (std::set<int32_t>::iterator it=unsupportedOperators.begin(); it!=unsupportedOperators.end(); ++it) |
| 287 | { |
| 288 | TF_LITE_OPAQUE_KERNEL_LOG(tfLiteContext, |
| 289 | "Operator %s [%d] is not supported by armnn_opaque_delegate.", |
| 290 | tflite::EnumNameBuiltinOperator(tflite::BuiltinOperator(*it)), |
| 291 | *it); |
| 292 | } |
| 293 | |
| 294 | if (!unsupportedOperators.empty() && m_Options.TfLiteRuntimeFallbackDisabled()) |
| 295 | { |
| 296 | std::stringstream exMessage; |
| 297 | exMessage << "TfLiteArmnnOpaqueDelegate: There are unsupported operators in the model. "; |
| 298 | exMessage << "Not falling back to TfLite Runtime as fallback is disabled. "; |
| 299 | exMessage << "This should only be disabled under test conditions."; |
| 300 | throw armnn::Exception(exMessage.str()); |
| 301 | } |
| 302 | if (nodesToDelegate->size == 0) |
| 303 | { |
| 304 | ARMNN_LOG(info) << "No operators in this model are supported by the Arm NN TfLite delegate." << |
| 305 | " The model will be executed entirely by TfLite runtime."; |
| 306 | } |
| 307 | |
| 308 | std::sort(&nodesToDelegate->data[0], &nodesToDelegate->data[nodesToDelegate->size]); |
| 309 | return nodesToDelegate; |
| 310 | } |
| 311 | |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 312 | TfLiteStatus ArmnnSubgraph::AddInputLayer(DelegateData& delegateData, |
| 313 | TfLiteOpaqueContext* tfLiteContext, |
| 314 | const TfLiteIntArray* inputs, |
| 315 | std::vector<armnn::BindingPointInfo>& inputBindings) |
| 316 | { |
| 317 | const size_t numInputs = static_cast<size_t>(inputs->size); |
| 318 | for (unsigned int i = 0; i < numInputs; ++i) |
| 319 | { |
| 320 | const int32_t tensorId = inputs->data[i]; |
| 321 | const TfLiteOpaqueTensor* tensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, tensorId); |
| 322 | |
| 323 | if(!tensor) |
| 324 | { |
| 325 | return kTfLiteError; |
| 326 | } |
| 327 | |
| 328 | // Do not create bindings for constant inputs |
| 329 | if (TfLiteOpaqueTensorGetAllocationType(tensor) == kTfLiteMmapRo) |
| 330 | { |
| 331 | continue; |
| 332 | } |
| 333 | |
| 334 | auto bindingId = static_cast<armnn::LayerBindingId>((tensorId)); |
| 335 | armnn::IConnectableLayer* layer = delegateData.m_Network->AddInputLayer(bindingId); |
| 336 | |
| 337 | auto tensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tensor); |
| 338 | armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); |
| 339 | outputSlot.SetTensorInfo(tensorInfo); |
| 340 | |
| 341 | // Store for creating connections |
| 342 | delegateData.m_OutputSlotForNode[static_cast<unsigned long>(tensorId)] = &outputSlot; |
| 343 | |
| 344 | inputBindings.push_back(std::make_pair(bindingId, tensorInfo)); |
| 345 | } |
| 346 | |
| 347 | return kTfLiteOk; |
| 348 | } |
| 349 | |
| 350 | TfLiteStatus ArmnnSubgraph::AddOutputLayer(DelegateData& delegateData, |
| 351 | TfLiteOpaqueContext* tfLiteContext, |
| 352 | const TfLiteIntArray* outputs, |
| 353 | std::vector<armnn::BindingPointInfo>& outputBindings) |
| 354 | { |
| 355 | const size_t numOutputs = static_cast<size_t>(outputs->size); |
| 356 | for (unsigned int i = 0; i < numOutputs; ++i) |
| 357 | { |
| 358 | const int32_t tensorId = outputs->data[i]; |
| 359 | const TfLiteOpaqueTensor* tensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, tensorId); |
| 360 | |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 361 | if(!IsValid(tensor)) |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 362 | { |
| 363 | return kTfLiteError; |
| 364 | } |
| 365 | |
| 366 | auto bindingId = static_cast<armnn::LayerBindingId>((tensorId)); |
| 367 | armnn::IConnectableLayer* layer = delegateData.m_Network->AddOutputLayer(bindingId); |
| 368 | |
| 369 | auto tensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tensor); |
| 370 | ARMNN_ASSERT(delegateData.m_OutputSlotForNode[static_cast<unsigned long>(tensorId)] != nullptr); |
| 371 | delegateData.m_OutputSlotForNode[static_cast<unsigned long>(tensorId)]->Connect(layer->GetInputSlot(0)); |
| 372 | outputBindings.push_back(std::make_pair(bindingId, tensorInfo)); |
| 373 | } |
| 374 | |
| 375 | return kTfLiteOk; |
| 376 | } |
| 377 | |
| 378 | ArmnnSubgraph* ArmnnSubgraph::Create(TfLiteOpaqueContext* tfLiteContext, |
| 379 | const TfLiteOpaqueDelegateParams* parameters, |
| 380 | const ArmnnOpaqueDelegate* delegate) |
| 381 | { |
| 382 | const auto startTime = armnn::GetTimeNow(); |
| 383 | ARMNN_LOG(info) << "ArmnnSubgraph creation"; |
| 384 | |
| 385 | TfLiteIntArray* executionPlan; |
| 386 | if (TfLiteOpaqueContextGetExecutionPlan(tfLiteContext, &executionPlan) != kTfLiteOk) |
| 387 | { |
| 388 | return nullptr; |
| 389 | } |
| 390 | |
| 391 | // Initialize DelegateData holds network and output slots information |
| 392 | DelegateData delegateData(delegate->m_Options.GetBackends()); |
| 393 | |
| 394 | // Build ArmNN Network |
John Mcloughlin | c5ee0d7 | 2023-03-24 12:07:25 +0000 | [diff] [blame] | 395 | armnn::NetworkOptions networkOptions = delegate->m_Options.GetOptimizerOptions().GetModelOptions(); |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 396 | armnn::NetworkId networkId; |
| 397 | delegateData.m_Network = armnn::INetwork::Create(networkOptions); |
| 398 | |
| 399 | delegateData.m_OutputSlotForNode = std::vector<armnn::IOutputSlot*>( |
| 400 | TfLiteOpaqueContextGetNumTensors(tfLiteContext), nullptr); |
| 401 | |
| 402 | std::vector<armnn::BindingPointInfo> inputBindings; |
| 403 | std::vector<armnn::BindingPointInfo> outputBindings; |
| 404 | |
| 405 | // Add input layer |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 406 | if (AddInputLayer(delegateData, tfLiteContext, parameters->input_tensors, inputBindings) != kTfLiteOk) |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 407 | { |
| 408 | throw armnn::Exception("TfLiteArmnnOpaqueDelegate: Unable to add Inputs to the network!"); |
| 409 | } |
| 410 | |
| 411 | // Parse TfLite delegate nodes to ArmNN |
| 412 | const auto parseStartTime = armnn::GetTimeNow(); |
| 413 | for (int i = 0; i < parameters->nodes_to_replace->size; ++i) |
| 414 | { |
| 415 | const int nodeIndex = parameters->nodes_to_replace->data[i]; |
| 416 | |
| 417 | TfLiteOpaqueNode* tfLiteNode = nullptr; |
| 418 | TfLiteRegistrationExternal* tfLiteRegistration = nullptr; |
| 419 | if (TfLiteOpaqueContextGetNodeAndRegistration( |
| 420 | tfLiteContext, nodeIndex, &tfLiteNode, &tfLiteRegistration) != kTfLiteOk) |
| 421 | { |
| 422 | throw armnn::Exception(&"TfLiteArmnnOpaqueDelegate: Unable to get node registration: " [ nodeIndex]); |
| 423 | } |
| 424 | |
| 425 | if (VisitNode(delegateData, tfLiteContext, tfLiteRegistration, tfLiteNode, nodeIndex) != kTfLiteOk) |
| 426 | { |
| 427 | throw armnn::Exception(&"TfLiteArmnnOpaqueDelegate: Unable to parse node: " [ nodeIndex]); |
| 428 | } |
| 429 | } |
| 430 | ARMNN_LOG(info) << "Parse nodes to ArmNN time: " << std::setprecision(2) |
| 431 | << std::fixed << armnn::GetTimeDuration(parseStartTime).count() << " ms"; |
| 432 | |
| 433 | // Add Output layer |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 434 | if (AddOutputLayer(delegateData, tfLiteContext, parameters->output_tensors, outputBindings) != kTfLiteOk) |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 435 | { |
| 436 | throw armnn::Exception("TfLiteArmnnOpaqueDelegate: Unable to add Outputs to the network!"); |
| 437 | } |
| 438 | |
| 439 | // Optimize ArmNN network |
| 440 | armnn::IOptimizedNetworkPtr optNet(nullptr, nullptr); |
| 441 | try |
| 442 | { |
| 443 | const auto optimizeStartTime = armnn::GetTimeNow(); |
| 444 | optNet = armnn::Optimize(*(delegateData.m_Network.get()), |
| 445 | delegate->m_Options.GetBackends(), |
| 446 | delegate->m_Runtime->GetDeviceSpec(), |
| 447 | delegate->m_Options.GetOptimizerOptions()); |
| 448 | ARMNN_LOG(info) << "Optimize ArmnnSubgraph time: " << std::setprecision(2) |
| 449 | << std::fixed << armnn::GetTimeDuration(optimizeStartTime).count() << " ms"; |
| 450 | } |
| 451 | catch (std::exception& ex) |
| 452 | { |
| 453 | std::stringstream exMessage; |
| 454 | exMessage << "TfLiteArmnnOpaqueDelegate: Exception (" << ex.what() << ") caught from optimize."; |
| 455 | throw armnn::Exception(exMessage.str()); |
| 456 | } |
| 457 | if (!optNet) |
| 458 | { |
| 459 | // Optimize failed |
| 460 | throw armnn::Exception("TfLiteArmnnOpaqueDelegate: Unable to optimize the network!"); |
| 461 | } |
| 462 | |
| 463 | // If set, we will serialize the optimized model into a dot file. |
| 464 | const std::string serializeToDotFile = delegate->m_Options.GetSerializeToDot(); |
| 465 | if (!serializeToDotFile.empty()) |
| 466 | { |
| 467 | ARMNN_LOG(info) << "Writing graph to dot file: " << serializeToDotFile; |
| 468 | fs::path filename = serializeToDotFile; |
| 469 | std::fstream file(filename.c_str(), std::ios_base::out); |
| 470 | optNet->SerializeToDot(file); |
| 471 | } |
| 472 | |
| 473 | try |
| 474 | { |
| 475 | const auto loadStartTime = armnn::GetTimeNow(); |
| 476 | |
| 477 | // Load graph into runtime |
| 478 | std::string errorMessage; |
| 479 | armnn::Status loadingStatus; |
| 480 | armnn::MemorySource inputSource = armnn::MemorySource::Undefined; |
| 481 | armnn::MemorySource outputSource = armnn::MemorySource::Undefined; |
| 482 | // There's a bit of an assumption here that the delegate will only support Malloc memory source. |
John Mcloughlin | c5ee0d7 | 2023-03-24 12:07:25 +0000 | [diff] [blame] | 483 | if (delegate->m_Options.GetOptimizerOptions().GetImportEnabled()) |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 484 | { |
| 485 | inputSource = armnn::MemorySource::Malloc; |
| 486 | } |
John Mcloughlin | c5ee0d7 | 2023-03-24 12:07:25 +0000 | [diff] [blame] | 487 | if (delegate->m_Options.GetOptimizerOptions().GetExportEnabled()) |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 488 | { |
| 489 | outputSource = armnn::MemorySource::Malloc; |
| 490 | } |
| 491 | armnn::INetworkProperties networkProperties(false, |
| 492 | inputSource, |
| 493 | outputSource, |
| 494 | delegate->m_Options.GetInternalProfilingState(), |
| 495 | delegate->m_Options.GetInternalProfilingDetail()); |
| 496 | loadingStatus = delegate->m_Runtime->LoadNetwork(networkId, |
| 497 | std::move(optNet), |
| 498 | errorMessage, |
| 499 | networkProperties); |
| 500 | if (loadingStatus != armnn::Status::Success) |
| 501 | { |
| 502 | // Network load failed. |
| 503 | throw armnn::Exception("TfLiteArmnnOpaqueDelegate: Network could not be loaded: " + errorMessage); |
| 504 | } |
| 505 | |
| 506 | ARMNN_LOG(info) << "Load ArmnnSubgraph time: " << std::setprecision(2) |
| 507 | << std::fixed << armnn::GetTimeDuration(loadStartTime).count() << " ms"; |
| 508 | } |
| 509 | catch (std::exception& ex) |
| 510 | { |
| 511 | std::stringstream exMessage; |
| 512 | exMessage << "TfLiteArmnnOpaqueDelegate: Exception (" << ex.what() << ") caught from LoadNetwork."; |
| 513 | throw armnn::Exception(exMessage.str()); |
| 514 | } |
| 515 | |
| 516 | // Register debug callback function |
| 517 | if (delegate->m_Options.GetDebugCallbackFunction().has_value()) |
| 518 | { |
| 519 | delegate->m_Runtime->RegisterDebugCallback(networkId, delegate->m_Options.GetDebugCallbackFunction().value()); |
| 520 | } |
| 521 | |
| 522 | ARMNN_LOG(info) << "Overall ArmnnSubgraph creation time: " << std::setprecision(2) |
| 523 | << std::fixed << armnn::GetTimeDuration(startTime).count() << " ms\n"; |
| 524 | |
| 525 | // Create a new SubGraph with networkId and runtime |
| 526 | return new ArmnnSubgraph(networkId, delegate->m_Runtime, inputBindings, outputBindings); |
| 527 | } |
| 528 | |
| 529 | TfLiteStatus ArmnnSubgraph::Prepare(TfLiteOpaqueContext* tfLiteContext) |
| 530 | { |
| 531 | armnn::IgnoreUnused(tfLiteContext); |
| 532 | return kTfLiteOk; |
| 533 | } |
| 534 | |
| 535 | TfLiteStatus ArmnnSubgraph::Invoke(TfLiteOpaqueContext* tfLiteContext, TfLiteOpaqueNode* tfLiteNode) |
| 536 | { |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 537 | // Get array of input indices, inputIndexArray is set from the TfLiteOpaqueNodeInputs function |
| 538 | // This function turns inputIndexArray into an int array of indices. These indices point to the tensors for |
| 539 | // each input slot in the node. |
| 540 | const int* inputIndexArray; |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 541 | int numInputs; |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 542 | if(TfLiteOpaqueNodeInputs(tfLiteNode, &inputIndexArray, &numInputs) != kTfLiteOk) |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 543 | { |
| 544 | throw armnn::Exception("TfLiteArmnnOpaqueDelegate: Unable to load subgraph inputs!"); |
| 545 | } |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 546 | // Prepare inputs |
| 547 | armnn::InputTensors inputTensors; |
| 548 | size_t inputIndex = 0; |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 549 | for (int inputIdx = 0; inputIdx < numInputs; inputIdx++) |
| 550 | { |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 551 | TfLiteOpaqueTensor* tensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputIndexArray[inputIdx]); |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 552 | |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 553 | if(!IsValid(tensor)) |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 554 | { |
| 555 | return kTfLiteError; |
| 556 | } |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 557 | // If tensor is not read only |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 558 | if (TfLiteOpaqueTensorGetAllocationType(tensor) != kTfLiteMmapRo) |
| 559 | { |
| 560 | const armnn::BindingPointInfo& inputBinding = m_InputBindings[inputIndex]; |
| 561 | armnn::TensorInfo inputTensorInfo = inputBinding.second; |
| 562 | inputTensorInfo.SetConstant(true); |
| 563 | const armnn::ConstTensor inputTensor(inputTensorInfo, TfLiteOpaqueTensorData(tensor)); |
Narumol Prangnawarat | 46e574e | 2023-05-05 16:39:05 +0100 | [diff] [blame] | 564 | inputTensors.emplace_back(inputIndexArray[inputIdx], inputTensor); |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 565 | |
| 566 | ++inputIndex; |
| 567 | } |
| 568 | } |
| 569 | |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 570 | // Get array of output indices, outputIndexArray is set from the TfLiteOpaqueNodeOutputs function |
| 571 | // This function turns outputIndexArray into an int array of indices. These indices point to the tensors for |
| 572 | // each output slot in the node. |
| 573 | const int* outputIndexArray; |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 574 | int numOutputs; |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 575 | if(TfLiteOpaqueNodeOutputs(tfLiteNode, &outputIndexArray, &numOutputs) != kTfLiteOk) |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 576 | { |
| 577 | throw armnn::Exception("TfLiteArmnnOpaqueDelegate: Unable to load subgraph outputs!"); |
| 578 | } |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 579 | // Assign the tensors from the outputIndexArray to the armnn BindingPointInfo |
| 580 | armnn::OutputTensors outputTensors; |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 581 | for (int outputIdx = 0; outputIdx < numOutputs; outputIdx++) |
| 582 | { |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 583 | const armnn::BindingPointInfo& outputBinding = m_OutputBindings[outputIdx]; |
| 584 | TfLiteOpaqueTensor* tensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputIndexArray[outputIdx]); |
| 585 | if(!IsValid(tensor)) |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 586 | { |
| 587 | return kTfLiteError; |
| 588 | } |
| 589 | |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 590 | const armnn::Tensor outputTensor(outputBinding.second, reinterpret_cast<TfLiteTensor*>(tensor)->data |
| 591 | .data); |
| 592 | outputTensors.emplace_back(outputIndexArray[outputIdx], outputTensor); |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 593 | } |
| 594 | |
| 595 | // Run graph |
| 596 | auto status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors); |
| 597 | // The delegate holds its own Arm NN runtime so this is our last chance to print internal profiling data. |
| 598 | std::shared_ptr<armnn::IProfiler> profiler = m_Runtime->GetProfiler(m_NetworkId); |
| 599 | if (profiler && profiler->IsProfilingEnabled()) |
| 600 | { |
| 601 | profiler->Print(std::cout); |
| 602 | } |
| 603 | return (status == armnn::Status::Success) ? kTfLiteOk : kTfLiteError; |
| 604 | } |
| 605 | |
| 606 | TfLiteStatus ArmnnSubgraph::VisitNode(DelegateData& delegateData, |
| 607 | TfLiteOpaqueContext* tfLiteContext, |
| 608 | TfLiteRegistrationExternal* tfLiteRegistration, |
| 609 | TfLiteOpaqueNode* tfLiteNode, |
| 610 | int nodeIndex) |
| 611 | { |
| 612 | switch (TfLiteRegistrationExternalGetBuiltInCode(tfLiteRegistration)) |
| 613 | { |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 614 | case kTfLiteBuiltinAbs: |
| 615 | return VisitElementwiseUnaryOperator(delegateData, |
| 616 | tfLiteContext, |
| 617 | tfLiteNode, |
| 618 | nodeIndex, |
| 619 | kTfLiteBuiltinAbs, |
| 620 | armnn::UnaryOperation::Abs); |
David Monahan | 6c53f9f | 2023-04-27 15:21:19 +0100 | [diff] [blame] | 621 | case kTfLiteBuiltinAdd: |
| 622 | return VisitElementwiseBinaryOperator(delegateData, |
| 623 | tfLiteContext, |
| 624 | tfLiteNode, |
| 625 | nodeIndex, |
| 626 | kTfLiteBuiltinAdd); |
John Mcloughlin | 559d909 | 2023-04-26 20:14:47 +0100 | [diff] [blame] | 627 | case kTfLiteBuiltinArgMax: |
| 628 | return VisitArgMinMaxOperator(delegateData, |
| 629 | tfLiteContext, |
| 630 | tfLiteNode, |
| 631 | nodeIndex, |
| 632 | kTfLiteBuiltinArgMax); |
| 633 | case kTfLiteBuiltinArgMin: |
| 634 | return VisitArgMinMaxOperator(delegateData, |
| 635 | tfLiteContext, |
| 636 | tfLiteNode, |
| 637 | nodeIndex, |
| 638 | kTfLiteBuiltinArgMin); |
Matthew Sloyan | 48ec813 | 2023-04-27 17:04:47 +0100 | [diff] [blame] | 639 | case kTfLiteBuiltinAveragePool2d: |
| 640 | return VisitPooling2dOperator(delegateData, |
| 641 | tfLiteContext, |
| 642 | tfLiteNode, |
| 643 | nodeIndex, |
| 644 | kTfLiteBuiltinAveragePool2d); |
John Mcloughlin | 0422cf2 | 2023-04-27 16:55:00 +0100 | [diff] [blame] | 645 | case kTfLiteBuiltinBatchMatmul: |
| 646 | return VisitBatchMatMulOperator(delegateData, |
| 647 | tfLiteContext, |
| 648 | tfLiteNode, |
| 649 | nodeIndex, |
| 650 | kTfLiteBuiltinBatchMatmul); |
Kevin May | 81b66f3 | 2023-04-26 14:55:36 +0100 | [diff] [blame] | 651 | case kTfLiteBuiltinBatchToSpaceNd: |
| 652 | return VisitBatchToSpaceNdOperator(delegateData, |
| 653 | tfLiteContext, |
| 654 | tfLiteNode, |
| 655 | nodeIndex, |
| 656 | kTfLiteBuiltinBatchToSpaceNd); |
Ryan OShea | a37ccb0 | 2023-04-11 10:54:07 +0100 | [diff] [blame] | 657 | case kTfLiteBuiltinCast: |
| 658 | return VisitCastOperator(delegateData, |
| 659 | tfLiteContext, |
| 660 | tfLiteNode, |
| 661 | nodeIndex, |
| 662 | kTfLiteBuiltinCast); |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 663 | case kTfLiteBuiltinCeil: |
| 664 | return VisitElementwiseUnaryOperator(delegateData, |
| 665 | tfLiteContext, |
| 666 | tfLiteNode, |
| 667 | nodeIndex, |
| 668 | kTfLiteBuiltinCeil, |
| 669 | armnn::UnaryOperation::Ceil); |
Matthew Sloyan | 2b04ec3 | 2023-04-26 11:42:46 +0100 | [diff] [blame] | 670 | case kTfLiteBuiltinConcatenation: |
| 671 | return VisitControlOperator(delegateData, |
| 672 | tfLiteContext, |
| 673 | tfLiteNode, |
| 674 | nodeIndex, |
| 675 | kTfLiteBuiltinConcatenation); |
Matthew Sloyan | 080ffd8 | 2023-04-24 12:53:04 +0100 | [diff] [blame] | 676 | case kTfLiteBuiltinConv2d: |
| 677 | return VisitConvolutionOperator(delegateData, |
| 678 | tfLiteContext, |
| 679 | tfLiteNode, |
| 680 | nodeIndex, |
| 681 | kTfLiteBuiltinConv2d); |
Francis Murtagh | 3a9e7ba | 2023-04-26 15:58:39 +0100 | [diff] [blame] | 682 | case kTfLiteBuiltinConv3d: |
| 683 | return VisitConvolutionOperator(delegateData, |
| 684 | tfLiteContext, |
| 685 | tfLiteNode, |
| 686 | nodeIndex, |
| 687 | kTfLiteBuiltinConv3d); |
Matthew Sloyan | 48ec813 | 2023-04-27 17:04:47 +0100 | [diff] [blame] | 688 | case kTfLiteBuiltinCustom: |
| 689 | { |
| 690 | // Custom operators are defined by the name rather than the builtin code. |
| 691 | // Parse the custom_name param in the registration to point to the correct visitor function. |
| 692 | std::string customOperatorName = TfLiteRegistrationExternalGetCustomName(tfLiteRegistration); |
| 693 | if ( customOperatorName == "AveragePool3D" ) |
| 694 | { |
| 695 | return VisitPooling3dOperator(delegateData, |
| 696 | tfLiteContext, |
| 697 | tfLiteNode, |
| 698 | nodeIndex, |
| 699 | customOperatorName); |
| 700 | } |
| 701 | else if (customOperatorName == "MaxPool3D") |
| 702 | { |
| 703 | return VisitPooling3dOperator(delegateData, |
| 704 | tfLiteContext, |
| 705 | tfLiteNode, |
| 706 | nodeIndex, |
| 707 | customOperatorName); |
| 708 | } |
| 709 | // Invalid or unsupported custom operator |
| 710 | return kTfLiteError; |
| 711 | } |
Matthew Sloyan | 080ffd8 | 2023-04-24 12:53:04 +0100 | [diff] [blame] | 712 | case kTfLiteBuiltinDepthwiseConv2d: |
| 713 | return VisitConvolutionOperator(delegateData, |
| 714 | tfLiteContext, |
| 715 | tfLiteNode, |
| 716 | nodeIndex, |
| 717 | kTfLiteBuiltinDepthwiseConv2d); |
Francis Murtagh | 36d94ef | 2023-04-28 14:05:43 +0100 | [diff] [blame] | 718 | case kTfLiteBuiltinDequantize: |
| 719 | return VisitDequantizeOperator(delegateData, |
| 720 | tfLiteContext, |
| 721 | tfLiteNode, |
| 722 | nodeIndex, |
| 723 | kTfLiteBuiltinDequantize); |
David Monahan | 6c53f9f | 2023-04-27 15:21:19 +0100 | [diff] [blame] | 724 | case kTfLiteBuiltinDiv: |
| 725 | return VisitElementwiseBinaryOperator(delegateData, |
| 726 | tfLiteContext, |
| 727 | tfLiteNode, |
| 728 | nodeIndex, |
| 729 | kTfLiteBuiltinDiv); |
Matthew Sloyan | 2b04ec3 | 2023-04-26 11:42:46 +0100 | [diff] [blame] | 730 | case kTfLiteBuiltinEqual: |
| 731 | return VisitComparisonOperator(delegateData, |
| 732 | tfLiteContext, |
| 733 | tfLiteNode, |
| 734 | nodeIndex, |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 735 | kTfLiteBuiltinEqual, |
| 736 | armnn::ComparisonOperation::Equal); |
Teresa Charlin | 4236296 | 2023-04-28 14:23:33 +0100 | [diff] [blame] | 737 | case kTfLiteBuiltinDepthToSpace: |
| 738 | return VisitDepthToSpaceOperator(delegateData, |
| 739 | tfLiteContext, |
| 740 | tfLiteNode, |
| 741 | nodeIndex, |
| 742 | kTfLiteBuiltinDepthToSpace); |
| 743 | case kTfLiteBuiltinElu: |
| 744 | return VisitActivationOperator(delegateData, |
| 745 | tfLiteContext, |
| 746 | tfLiteNode, |
| 747 | nodeIndex, |
| 748 | kTfLiteBuiltinElu); |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 749 | case kTfLiteBuiltinExp: |
| 750 | return VisitElementwiseUnaryOperator(delegateData, |
| 751 | tfLiteContext, |
| 752 | tfLiteNode, |
| 753 | nodeIndex, |
| 754 | kTfLiteBuiltinExp, |
| 755 | armnn::UnaryOperation::Exp); |
Matthew Sloyan | 3504e42 | 2023-05-03 13:53:02 +0100 | [diff] [blame] | 756 | case kTfLiteBuiltinExpandDims: |
| 757 | return VisitExpandDimsOperator(delegateData, |
| 758 | tfLiteContext, |
| 759 | tfLiteNode, |
| 760 | nodeIndex, |
| 761 | kTfLiteBuiltinExpandDims); |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 762 | case kTfLiteBuiltinFill: |
| 763 | return VisitFillOperator(delegateData, |
| 764 | tfLiteContext, |
| 765 | tfLiteNode, |
| 766 | nodeIndex, |
| 767 | kTfLiteBuiltinFill); |
Matthew Sloyan | 48ec813 | 2023-04-27 17:04:47 +0100 | [diff] [blame] | 768 | case kTfLiteBuiltinFloor: |
| 769 | return VisitFloorOperator(delegateData, |
| 770 | tfLiteContext, |
| 771 | tfLiteNode, |
| 772 | nodeIndex, |
| 773 | kTfLiteBuiltinFloor); |
David Monahan | 6c53f9f | 2023-04-27 15:21:19 +0100 | [diff] [blame] | 774 | case kTfLiteBuiltinFloorDiv: |
| 775 | return VisitElementwiseBinaryOperator(delegateData, |
| 776 | tfLiteContext, |
| 777 | tfLiteNode, |
| 778 | nodeIndex, |
| 779 | kTfLiteBuiltinFloorDiv); |
Matthew Sloyan | 0bd4c62 | 2023-04-27 11:48:26 +0100 | [diff] [blame] | 780 | case kTfLiteBuiltinFullyConnected: |
| 781 | return VisitFullyConnectedOperator(delegateData, |
| 782 | tfLiteContext, |
| 783 | tfLiteNode, |
| 784 | nodeIndex, |
| 785 | kTfLiteBuiltinFullyConnected); |
Kevin May | b2831c5 | 2023-04-26 17:27:24 +0100 | [diff] [blame] | 786 | case kTfLiteBuiltinGather: |
| 787 | return VisitGatherOperator(delegateData, |
| 788 | tfLiteContext, |
| 789 | tfLiteNode, |
| 790 | nodeIndex, |
| 791 | kTfLiteBuiltinGather); |
| 792 | case kTfLiteBuiltinGatherNd: |
| 793 | return VisitGatherNdOperator(delegateData, |
| 794 | tfLiteContext, |
| 795 | tfLiteNode, |
| 796 | nodeIndex, |
| 797 | kTfLiteBuiltinGatherNd); |
Matthew Sloyan | 2b04ec3 | 2023-04-26 11:42:46 +0100 | [diff] [blame] | 798 | case kTfLiteBuiltinGreater: |
| 799 | return VisitComparisonOperator(delegateData, |
| 800 | tfLiteContext, |
| 801 | tfLiteNode, |
| 802 | nodeIndex, |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 803 | kTfLiteBuiltinGreater, |
| 804 | armnn::ComparisonOperation::Greater); |
Matthew Sloyan | 2b04ec3 | 2023-04-26 11:42:46 +0100 | [diff] [blame] | 805 | case kTfLiteBuiltinGreaterEqual: |
| 806 | return VisitComparisonOperator(delegateData, |
| 807 | tfLiteContext, |
| 808 | tfLiteNode, |
| 809 | nodeIndex, |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 810 | kTfLiteBuiltinGreaterEqual, |
| 811 | armnn::ComparisonOperation::GreaterOrEqual); |
Matthew Sloyan | 0bd4c62 | 2023-04-27 11:48:26 +0100 | [diff] [blame] | 812 | case kTfLiteBuiltinHardSwish: |
| 813 | return VisitActivationOperator(delegateData, |
| 814 | tfLiteContext, |
| 815 | tfLiteNode, |
| 816 | nodeIndex, |
| 817 | kTfLiteBuiltinHardSwish); |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 818 | case kTfLiteBuiltinL2Normalization: |
| 819 | return VisitL2NormalizationOperator(delegateData, |
| 820 | tfLiteContext, |
| 821 | tfLiteNode, |
| 822 | nodeIndex, |
| 823 | kTfLiteBuiltinL2Normalization); |
Matthew Sloyan | 48ec813 | 2023-04-27 17:04:47 +0100 | [diff] [blame] | 824 | case kTfLiteBuiltinL2Pool2d: |
| 825 | return VisitPooling2dOperator(delegateData, |
| 826 | tfLiteContext, |
| 827 | tfLiteNode, |
| 828 | nodeIndex, |
| 829 | kTfLiteBuiltinL2Pool2d); |
Matthew Sloyan | 2b04ec3 | 2023-04-26 11:42:46 +0100 | [diff] [blame] | 830 | case kTfLiteBuiltinLess: |
| 831 | return VisitComparisonOperator(delegateData, |
| 832 | tfLiteContext, |
| 833 | tfLiteNode, |
| 834 | nodeIndex, |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 835 | kTfLiteBuiltinLess, |
| 836 | armnn::ComparisonOperation::Less); |
Matthew Sloyan | 2b04ec3 | 2023-04-26 11:42:46 +0100 | [diff] [blame] | 837 | case kTfLiteBuiltinLessEqual: |
| 838 | return VisitComparisonOperator(delegateData, |
| 839 | tfLiteContext, |
| 840 | tfLiteNode, |
| 841 | nodeIndex, |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 842 | kTfLiteBuiltinLessEqual, |
| 843 | armnn::ComparisonOperation::LessOrEqual); |
Matthew Sloyan | 0bd4c62 | 2023-04-27 11:48:26 +0100 | [diff] [blame] | 844 | case kTfLiteBuiltinLogistic: |
| 845 | return VisitActivationOperator(delegateData, |
| 846 | tfLiteContext, |
| 847 | tfLiteNode, |
| 848 | nodeIndex, |
| 849 | kTfLiteBuiltinLogistic); |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 850 | case kTfLiteBuiltinLocalResponseNormalization: |
| 851 | return VisitLocalResponseNormalizationOperator(delegateData, |
| 852 | tfLiteContext, |
| 853 | tfLiteNode, |
| 854 | nodeIndex, |
| 855 | kTfLiteBuiltinLocalResponseNormalization); |
| 856 | case kTfLiteBuiltinLog: |
| 857 | return VisitElementwiseUnaryOperator(delegateData, |
| 858 | tfLiteContext, |
| 859 | tfLiteNode, |
| 860 | nodeIndex, |
| 861 | kTfLiteBuiltinLog, |
| 862 | armnn::UnaryOperation::Log); |
| 863 | case kTfLiteBuiltinLogicalAnd: |
| 864 | return VisitLogicalBinaryOperator(delegateData, |
| 865 | tfLiteContext, |
| 866 | tfLiteNode, |
| 867 | nodeIndex, |
| 868 | kTfLiteBuiltinLogicalAnd, |
| 869 | armnn::LogicalBinaryOperation::LogicalAnd); |
| 870 | case kTfLiteBuiltinLogicalNot: |
| 871 | return VisitElementwiseUnaryOperator(delegateData, |
| 872 | tfLiteContext, |
| 873 | tfLiteNode, |
| 874 | nodeIndex, |
| 875 | kTfLiteBuiltinLogicalNot, |
| 876 | armnn::UnaryOperation::LogicalNot); |
| 877 | case kTfLiteBuiltinLogicalOr: |
| 878 | return VisitLogicalBinaryOperator(delegateData, |
| 879 | tfLiteContext, |
| 880 | tfLiteNode, |
| 881 | nodeIndex, |
| 882 | kTfLiteBuiltinLogicalOr, |
| 883 | armnn::LogicalBinaryOperation::LogicalOr); |
Teresa Charlin | 4236296 | 2023-04-28 14:23:33 +0100 | [diff] [blame] | 884 | case kTfLiteBuiltinLogSoftmax: |
| 885 | return VisitSoftmaxOperator(delegateData, |
| 886 | tfLiteContext, |
| 887 | tfLiteNode, |
| 888 | nodeIndex, |
| 889 | kTfLiteBuiltinLogSoftmax); |
Matthew Sloyan | 48ec813 | 2023-04-27 17:04:47 +0100 | [diff] [blame] | 890 | case kTfLiteBuiltinLstm: |
| 891 | return VisitLstmOperator(delegateData, |
| 892 | tfLiteContext, |
| 893 | tfLiteNode, |
| 894 | nodeIndex, |
| 895 | kTfLiteBuiltinLstm); |
| 896 | case kTfLiteBuiltinMaxPool2d: |
| 897 | return VisitPooling2dOperator(delegateData, |
| 898 | tfLiteContext, |
| 899 | tfLiteNode, |
| 900 | nodeIndex, |
| 901 | kTfLiteBuiltinMaxPool2d); |
David Monahan | 6c53f9f | 2023-04-27 15:21:19 +0100 | [diff] [blame] | 902 | case kTfLiteBuiltinMaximum: |
| 903 | return VisitElementwiseBinaryOperator(delegateData, |
| 904 | tfLiteContext, |
| 905 | tfLiteNode, |
| 906 | nodeIndex, |
| 907 | kTfLiteBuiltinMaximum); |
Matthew Sloyan | 2b04ec3 | 2023-04-26 11:42:46 +0100 | [diff] [blame] | 908 | case kTfLiteBuiltinMean: |
| 909 | return VisitControlOperator(delegateData, |
| 910 | tfLiteContext, |
| 911 | tfLiteNode, |
| 912 | nodeIndex, |
| 913 | kTfLiteBuiltinMean); |
David Monahan | 6c53f9f | 2023-04-27 15:21:19 +0100 | [diff] [blame] | 914 | case kTfLiteBuiltinMinimum: |
| 915 | return VisitElementwiseBinaryOperator(delegateData, |
| 916 | tfLiteContext, |
| 917 | tfLiteNode, |
| 918 | nodeIndex, |
| 919 | kTfLiteBuiltinMinimum); |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 920 | case kTfLiteBuiltinMirrorPad: |
| 921 | return VisitPadOperator(delegateData, |
| 922 | tfLiteContext, |
| 923 | tfLiteNode, |
| 924 | nodeIndex, |
| 925 | kTfLiteBuiltinMirrorPad); |
David Monahan | 6c53f9f | 2023-04-27 15:21:19 +0100 | [diff] [blame] | 926 | case kTfLiteBuiltinMul: |
| 927 | return VisitElementwiseBinaryOperator(delegateData, |
| 928 | tfLiteContext, |
| 929 | tfLiteNode, |
| 930 | nodeIndex, |
| 931 | kTfLiteBuiltinMul); |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 932 | case kTfLiteBuiltinNeg: |
| 933 | return VisitElementwiseUnaryOperator(delegateData, |
| 934 | tfLiteContext, |
| 935 | tfLiteNode, |
| 936 | nodeIndex, |
| 937 | kTfLiteBuiltinNeg, |
| 938 | armnn::UnaryOperation::Neg); |
Matthew Sloyan | 2b04ec3 | 2023-04-26 11:42:46 +0100 | [diff] [blame] | 939 | case kTfLiteBuiltinNotEqual: |
| 940 | return VisitComparisonOperator(delegateData, |
| 941 | tfLiteContext, |
| 942 | tfLiteNode, |
| 943 | nodeIndex, |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 944 | kTfLiteBuiltinNotEqual, |
| 945 | armnn::ComparisonOperation::NotEqual); |
Teresa Charlin | ecebb0f | 2023-04-27 21:37:56 +0100 | [diff] [blame] | 946 | case kTfLiteBuiltinPack: |
| 947 | return VisitPackOperator(delegateData, |
| 948 | tfLiteContext, |
| 949 | tfLiteNode, |
| 950 | nodeIndex, |
| 951 | kTfLiteBuiltinPack); |
| 952 | case kTfLiteBuiltinPad: |
| 953 | return VisitPadOperator(delegateData, |
| 954 | tfLiteContext, |
| 955 | tfLiteNode, |
| 956 | nodeIndex, |
| 957 | kTfLiteBuiltinPad); |
| 958 | case kTfLiteBuiltinPadv2: |
| 959 | return VisitPadOperator(delegateData, |
| 960 | tfLiteContext, |
| 961 | tfLiteNode, |
| 962 | nodeIndex, |
| 963 | kTfLiteBuiltinPadv2); |
John Mcloughlin | 0ec0087 | 2023-05-15 17:03:49 +0100 | [diff] [blame] | 964 | case kTfLiteBuiltinPow: |
| 965 | return VisitElementwiseBinaryOperator(delegateData, |
| 966 | tfLiteContext, |
| 967 | tfLiteNode, |
| 968 | nodeIndex, |
| 969 | kTfLiteBuiltinPow); |
Matthew Sloyan | 0bd4c62 | 2023-04-27 11:48:26 +0100 | [diff] [blame] | 970 | case kTfLiteBuiltinPrelu: |
| 971 | return VisitPreluOperator(delegateData, |
| 972 | tfLiteContext, |
| 973 | tfLiteNode, |
| 974 | nodeIndex, |
| 975 | kTfLiteBuiltinPrelu); |
Francis Murtagh | 36d94ef | 2023-04-28 14:05:43 +0100 | [diff] [blame] | 976 | case kTfLiteBuiltinQuantize: |
| 977 | return VisitQuantizeOperator(delegateData, |
| 978 | tfLiteContext, |
| 979 | tfLiteNode, |
| 980 | nodeIndex, |
| 981 | kTfLiteBuiltinQuantize); |
John Mcloughlin | 083586d | 2023-04-28 18:36:52 +0100 | [diff] [blame] | 982 | case kTfLiteBuiltinReduceMax: |
| 983 | return VisitReduceOperator(delegateData, |
| 984 | tfLiteContext, |
| 985 | tfLiteNode, |
| 986 | nodeIndex, |
| 987 | kTfLiteBuiltinReduceMax); |
| 988 | case kTfLiteBuiltinReduceMin: |
| 989 | return VisitReduceOperator(delegateData, |
| 990 | tfLiteContext, |
| 991 | tfLiteNode, |
| 992 | nodeIndex, |
| 993 | kTfLiteBuiltinReduceMin); |
| 994 | case kTfLiteBuiltinReduceProd: |
| 995 | return VisitReduceOperator(delegateData, |
| 996 | tfLiteContext, |
| 997 | tfLiteNode, |
| 998 | nodeIndex, |
| 999 | kTfLiteBuiltinReduceProd); |
Matthew Sloyan | 0bd4c62 | 2023-04-27 11:48:26 +0100 | [diff] [blame] | 1000 | case kTfLiteBuiltinRelu: |
| 1001 | return VisitActivationOperator(delegateData, |
| 1002 | tfLiteContext, |
| 1003 | tfLiteNode, |
| 1004 | nodeIndex, |
| 1005 | kTfLiteBuiltinRelu); |
| 1006 | case kTfLiteBuiltinReluN1To1: |
| 1007 | return VisitActivationOperator(delegateData, |
| 1008 | tfLiteContext, |
| 1009 | tfLiteNode, |
| 1010 | nodeIndex, |
| 1011 | kTfLiteBuiltinReluN1To1); |
| 1012 | case kTfLiteBuiltinRelu6: |
| 1013 | return VisitActivationOperator(delegateData, |
| 1014 | tfLiteContext, |
| 1015 | tfLiteNode, |
| 1016 | nodeIndex, |
| 1017 | kTfLiteBuiltinRelu6); |
Matthew Sloyan | c49aacc | 2023-04-28 17:27:26 +0100 | [diff] [blame] | 1018 | case kTfLiteBuiltinReshape: |
| 1019 | return VisitReshapeOperator(delegateData, |
| 1020 | tfLiteContext, |
| 1021 | tfLiteNode, |
| 1022 | nodeIndex, |
| 1023 | kTfLiteBuiltinReshape); |
John Mcloughlin | 083586d | 2023-04-28 18:36:52 +0100 | [diff] [blame] | 1024 | case kTfLiteBuiltinResizeNearestNeighbor: |
| 1025 | return VisitResizeOperator(delegateData, |
| 1026 | tfLiteContext, |
| 1027 | tfLiteNode, |
| 1028 | nodeIndex, |
| 1029 | kTfLiteBuiltinResizeNearestNeighbor); |
| 1030 | case kTfLiteBuiltinResizeBilinear: |
| 1031 | return VisitResizeOperator(delegateData, |
| 1032 | tfLiteContext, |
| 1033 | tfLiteNode, |
| 1034 | nodeIndex, |
| 1035 | kTfLiteBuiltinResizeBilinear); |
Tracy Narine | 7306bbe | 2023-07-17 16:06:26 +0100 | [diff] [blame^] | 1036 | case kTfLiteBuiltinReverseV2: |
| 1037 | return VisitReverseV2Operator(delegateData, |
| 1038 | tfLiteContext, |
| 1039 | tfLiteNode, |
| 1040 | nodeIndex, |
| 1041 | kTfLiteBuiltinReverseV2); |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 1042 | case kTfLiteBuiltinRsqrt: |
| 1043 | return VisitElementwiseUnaryOperator(delegateData, |
| 1044 | tfLiteContext, |
| 1045 | tfLiteNode, |
| 1046 | nodeIndex, |
| 1047 | kTfLiteBuiltinRsqrt, |
| 1048 | armnn::UnaryOperation::Rsqrt); |
John Mcloughlin | 0422cf2 | 2023-04-27 16:55:00 +0100 | [diff] [blame] | 1049 | case kTfLiteBuiltinShape: |
| 1050 | return VisitShapeOperator(delegateData, |
| 1051 | tfLiteContext, |
| 1052 | tfLiteNode, |
| 1053 | nodeIndex, |
| 1054 | kTfLiteBuiltinShape); |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 1055 | case kTfLiteBuiltinSin: |
| 1056 | return VisitElementwiseUnaryOperator(delegateData, |
| 1057 | tfLiteContext, |
| 1058 | tfLiteNode, |
| 1059 | nodeIndex, |
| 1060 | kTfLiteBuiltinSin, |
| 1061 | armnn::UnaryOperation::Sin); |
Teresa Charlin | 86b0357 | 2023-04-28 13:19:12 +0100 | [diff] [blame] | 1062 | case kTfLiteBuiltinSlice: |
| 1063 | return VisitSliceOperator(delegateData, |
| 1064 | tfLiteContext, |
| 1065 | tfLiteNode, |
| 1066 | nodeIndex, |
| 1067 | kTfLiteBuiltinSlice); |
Teresa Charlin | 4236296 | 2023-04-28 14:23:33 +0100 | [diff] [blame] | 1068 | case kTfLiteBuiltinSoftmax: |
| 1069 | return VisitSoftmaxOperator(delegateData, |
| 1070 | tfLiteContext, |
| 1071 | tfLiteNode, |
| 1072 | nodeIndex, |
| 1073 | kTfLiteBuiltinSoftmax); |
Kevin May | 81b66f3 | 2023-04-26 14:55:36 +0100 | [diff] [blame] | 1074 | case kTfLiteBuiltinSpaceToBatchNd: |
| 1075 | return VisitSpaceToBatchNdOperator(delegateData, |
| 1076 | tfLiteContext, |
| 1077 | tfLiteNode, |
| 1078 | nodeIndex, |
| 1079 | kTfLiteBuiltinSpaceToBatchNd); |
Teresa Charlin | 4236296 | 2023-04-28 14:23:33 +0100 | [diff] [blame] | 1080 | case kTfLiteBuiltinSpaceToDepth: |
| 1081 | return VisitSpaceToDepthOperator(delegateData, |
| 1082 | tfLiteContext, |
| 1083 | tfLiteNode, |
| 1084 | nodeIndex, |
| 1085 | kTfLiteBuiltinSpaceToDepth); |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 1086 | case kTfLiteBuiltinSplit: |
| 1087 | return VisitSplitOperator(delegateData, |
| 1088 | tfLiteContext, |
| 1089 | tfLiteNode, |
| 1090 | nodeIndex, |
| 1091 | kTfLiteBuiltinSplit); |
| 1092 | case kTfLiteBuiltinSplitV: |
| 1093 | return VisitSplitVOperator(delegateData, |
| 1094 | tfLiteContext, |
| 1095 | tfLiteNode, |
| 1096 | nodeIndex, |
| 1097 | kTfLiteBuiltinSplitV); |
John Mcloughlin | 0ec0087 | 2023-05-15 17:03:49 +0100 | [diff] [blame] | 1098 | case kTfLiteBuiltinSquaredDifference: |
| 1099 | return VisitElementwiseBinaryOperator(delegateData, |
| 1100 | tfLiteContext, |
| 1101 | tfLiteNode, |
| 1102 | nodeIndex, |
| 1103 | kTfLiteBuiltinSquaredDifference); |
David Monahan | 6c53f9f | 2023-04-27 15:21:19 +0100 | [diff] [blame] | 1104 | case kTfLiteBuiltinSub: |
| 1105 | return VisitElementwiseBinaryOperator(delegateData, |
| 1106 | tfLiteContext, |
| 1107 | tfLiteNode, |
| 1108 | nodeIndex, |
| 1109 | kTfLiteBuiltinSub); |
Teresa Charlin | f69ae56 | 2023-04-27 14:42:23 +0100 | [diff] [blame] | 1110 | case kTfLiteBuiltinSqrt: |
| 1111 | return VisitElementwiseUnaryOperator(delegateData, |
| 1112 | tfLiteContext, |
| 1113 | tfLiteNode, |
| 1114 | nodeIndex, |
| 1115 | kTfLiteBuiltinSqrt, |
| 1116 | armnn::UnaryOperation::Sqrt); |
Matthew Sloyan | 3504e42 | 2023-05-03 13:53:02 +0100 | [diff] [blame] | 1117 | case kTfLiteBuiltinSqueeze: |
| 1118 | return VisitSqueezeOperator(delegateData, |
| 1119 | tfLiteContext, |
| 1120 | tfLiteNode, |
| 1121 | nodeIndex, |
| 1122 | kTfLiteBuiltinSqueeze); |
Teresa Charlin | 86b0357 | 2023-04-28 13:19:12 +0100 | [diff] [blame] | 1123 | case kTfLiteBuiltinStridedSlice: |
| 1124 | return VisitStridedSliceOperator(delegateData, |
| 1125 | tfLiteContext, |
| 1126 | tfLiteNode, |
| 1127 | nodeIndex, |
| 1128 | kTfLiteBuiltinStridedSlice); |
John Mcloughlin | 083586d | 2023-04-28 18:36:52 +0100 | [diff] [blame] | 1129 | case kTfLiteBuiltinSum: |
| 1130 | return VisitReduceOperator(delegateData, |
| 1131 | tfLiteContext, |
| 1132 | tfLiteNode, |
| 1133 | nodeIndex, |
| 1134 | kTfLiteBuiltinSum); |
Matthew Sloyan | 0bd4c62 | 2023-04-27 11:48:26 +0100 | [diff] [blame] | 1135 | case kTfLiteBuiltinTanh: |
| 1136 | return VisitActivationOperator(delegateData, |
| 1137 | tfLiteContext, |
| 1138 | tfLiteNode, |
| 1139 | nodeIndex, |
| 1140 | kTfLiteBuiltinTanh); |
Teresa Charlin | 4236296 | 2023-04-28 14:23:33 +0100 | [diff] [blame] | 1141 | case kTfLiteBuiltinTranspose: |
| 1142 | return VisitTransposeOperator(delegateData, |
| 1143 | tfLiteContext, |
| 1144 | tfLiteNode, |
| 1145 | nodeIndex, |
| 1146 | kTfLiteBuiltinTranspose); |
Francis Murtagh | 3a9e7ba | 2023-04-26 15:58:39 +0100 | [diff] [blame] | 1147 | case kTfLiteBuiltinTransposeConv: |
| 1148 | return VisitConvolutionOperator(delegateData, |
| 1149 | tfLiteContext, |
| 1150 | tfLiteNode, |
| 1151 | nodeIndex, |
| 1152 | kTfLiteBuiltinTransposeConv); |
Matthew Sloyan | 74be13e | 2023-05-03 17:34:00 +0100 | [diff] [blame] | 1153 | case kTfLiteBuiltinUnidirectionalSequenceLstm: |
| 1154 | return VisitUnidirectionalSequenceLstmOperator(delegateData, |
| 1155 | tfLiteContext, |
| 1156 | tfLiteNode, |
| 1157 | nodeIndex, |
| 1158 | kTfLiteBuiltinUnidirectionalSequenceLstm); |
Teresa Charlin | ecebb0f | 2023-04-27 21:37:56 +0100 | [diff] [blame] | 1159 | case kTfLiteBuiltinUnpack: |
| 1160 | return VisitUnpackOperator(delegateData, |
| 1161 | tfLiteContext, |
| 1162 | tfLiteNode, |
| 1163 | nodeIndex, |
| 1164 | kTfLiteBuiltinUnpack); |
Ryan OShea | ac9607f | 2023-04-03 11:33:33 +0100 | [diff] [blame] | 1165 | default: |
| 1166 | return kTfLiteError; |
| 1167 | } |
| 1168 | } |
Francis Murtagh | 3a9e7ba | 2023-04-26 15:58:39 +0100 | [diff] [blame] | 1169 | } // armnnOpaqueDelegate namespace |