Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <armnn_delegate.hpp> |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 7 | |
| 8 | #include "Activation.hpp" |
| 9 | #include "ArgMinMax.hpp" |
| 10 | #include "BatchSpace.hpp" |
| 11 | #include "Comparison.hpp" |
| 12 | #include "Convolution.hpp" |
| 13 | #include "Control.hpp" |
| 14 | #include "ElementwiseBinary.hpp" |
| 15 | #include "ElementwiseUnary.hpp" |
| 16 | #include "Fill.hpp" |
| 17 | #include "FullyConnected.hpp" |
| 18 | #include "Gather.hpp" |
| 19 | #include "Lstm.hpp" |
| 20 | #include "Normalization.hpp" |
| 21 | #include "Pad.hpp" |
| 22 | #include "Pooling.hpp" |
| 23 | #include "Quantization.hpp" |
| 24 | #include "Redefine.hpp" |
| 25 | #include "Resize.hpp" |
| 26 | #include "Round.hpp" |
| 27 | #include "Slice.hpp" |
| 28 | #include "Softmax.hpp" |
| 29 | #include "SpaceDepth.hpp" |
| 30 | #include "Transpose.hpp" |
| 31 | |
| 32 | #include <flatbuffers/flatbuffers.h> |
| 33 | #include <tensorflow/lite/context_util.h> |
| 34 | |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 35 | #include <algorithm> |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 36 | #include <sstream> |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 37 | |
| 38 | namespace armnnDelegate |
| 39 | { |
| 40 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 41 | DelegateOptions TfLiteArmnnDelegateOptionsDefault() |
| 42 | { |
| 43 | DelegateOptions options(armnn::Compute::CpuRef); |
| 44 | return options; |
| 45 | } |
| 46 | |
| 47 | TfLiteDelegate* TfLiteArmnnDelegateCreate(armnnDelegate::DelegateOptions options) |
| 48 | { |
| 49 | auto* armnnDelegate = new ::armnnDelegate::Delegate(options); |
| 50 | return armnnDelegate->GetDelegate(); |
| 51 | } |
| 52 | |
| 53 | void TfLiteArmnnDelegateDelete(TfLiteDelegate* tfLiteDelegate) |
| 54 | { |
| 55 | if (tfLiteDelegate != nullptr) |
| 56 | { |
| 57 | delete static_cast<::armnnDelegate::Delegate*>(tfLiteDelegate->data_); |
| 58 | } |
| 59 | } |
| 60 | |
| 61 | TfLiteStatus DoPrepare(TfLiteContext* tfLiteContext, TfLiteDelegate* tfLiteDelegate) |
| 62 | { |
| 63 | TfLiteIntArray* supportedOperators = |
| 64 | static_cast<::armnnDelegate::Delegate*>(tfLiteDelegate->data_)->IdentifyOperatorsToDelegate(tfLiteContext); |
| 65 | |
| 66 | // ArmNN Delegate Registration |
| 67 | static const TfLiteRegistration kArmnnSubgraphRegistration = { |
| 68 | // ArmnnSubgraph Init |
| 69 | .init = [](TfLiteContext* tfLiteContext, const char* buffer, size_t length) -> void* { |
| 70 | const TfLiteDelegateParams* parameters = reinterpret_cast<const TfLiteDelegateParams*>(buffer); |
| 71 | |
| 72 | return static_cast<void*>(ArmnnSubgraph::Create( |
| 73 | tfLiteContext, parameters, static_cast<::armnnDelegate::Delegate*>(parameters->delegate->data_))); |
| 74 | }, |
| 75 | // ArmnnSubgraph Free |
| 76 | .free = [](TfLiteContext* tfLiteContext, void* buffer) -> void { |
| 77 | if (buffer != nullptr) |
| 78 | { |
| 79 | delete static_cast<ArmnnSubgraph*>(buffer); |
| 80 | } |
| 81 | }, |
| 82 | // ArmnnSubgraph Prepare |
| 83 | .prepare = [](TfLiteContext* tfLiteContext, TfLiteNode* tfLiteNode) -> TfLiteStatus { |
| 84 | if (tfLiteNode->user_data == nullptr) |
| 85 | { |
| 86 | return kTfLiteError; |
| 87 | } |
| 88 | |
| 89 | return static_cast<ArmnnSubgraph*>(tfLiteNode->user_data)->Prepare(tfLiteContext); |
| 90 | }, |
| 91 | // ArmnnSubgraph Invoke |
| 92 | .invoke = [](TfLiteContext* tfLiteContext, TfLiteNode* tfLiteNode) -> TfLiteStatus { |
| 93 | if (tfLiteNode->user_data == nullptr) |
| 94 | { |
| 95 | return kTfLiteError; |
| 96 | } |
| 97 | |
| 98 | return static_cast<ArmnnSubgraph*>(tfLiteNode->user_data)->Invoke(tfLiteContext, tfLiteNode); |
| 99 | }, |
| 100 | |
| 101 | .profiling_string = nullptr, |
| 102 | .builtin_code = kTfLiteBuiltinDelegate, |
| 103 | .custom_name = "TfLiteArmNnDelegate", |
| 104 | .version = 1, |
| 105 | }; |
| 106 | |
| 107 | const TfLiteStatus status = |
| 108 | tfLiteContext->ReplaceNodeSubsetsWithDelegateKernels( |
| 109 | tfLiteContext, kArmnnSubgraphRegistration, supportedOperators, tfLiteDelegate); |
| 110 | |
| 111 | TfLiteIntArrayFree(supportedOperators); |
| 112 | return status; |
| 113 | |
| 114 | } |
| 115 | |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 116 | Delegate::Delegate(armnnDelegate::DelegateOptions options) |
| 117 | : m_Runtime(nullptr, nullptr), |
| 118 | m_Options(std::move(options)) |
| 119 | { |
| 120 | // Create ArmNN Runtime |
| 121 | armnn::IRuntime::CreationOptions runtimeOptions; |
| 122 | m_Runtime = armnn::IRuntime::Create(runtimeOptions); |
| 123 | |
| 124 | std::vector<armnn::BackendId> backends; |
| 125 | |
| 126 | if (m_Runtime) |
| 127 | { |
| 128 | const armnn::BackendIdSet supportedDevices = m_Runtime->GetDeviceSpec().GetSupportedBackends(); |
| 129 | for (auto& backend : m_Options.GetBackends()) |
| 130 | { |
| 131 | if (std::find(supportedDevices.cbegin(), supportedDevices.cend(), backend) == supportedDevices.cend()) |
| 132 | { |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 133 | TFLITE_LOG_PROD(tflite::TFLITE_LOG_INFO, |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 134 | "TfLiteArmnnDelegate: Requested unknown backend %s", backend.Get().c_str()); |
| 135 | } |
| 136 | else |
| 137 | { |
| 138 | backends.push_back(backend); |
| 139 | } |
| 140 | } |
| 141 | } |
| 142 | |
| 143 | if (backends.empty()) |
| 144 | { |
| 145 | // No known backend specified |
| 146 | throw armnn::InvalidArgumentException("TfLiteArmnnDelegate: No known backend specified."); |
| 147 | } |
| 148 | m_Options.SetBackends(backends); |
| 149 | |
| 150 | TFLITE_LOG_PROD_ONCE(tflite::TFLITE_LOG_INFO, "TfLiteArmnnDelegate: Created TfLite ArmNN delegate."); |
| 151 | } |
| 152 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 153 | TfLiteIntArray* Delegate::IdentifyOperatorsToDelegate(TfLiteContext* tfLiteContext) |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 154 | { |
| 155 | TfLiteIntArray* executionPlan = nullptr; |
| 156 | if (tfLiteContext->GetExecutionPlan(tfLiteContext, &executionPlan) != kTfLiteOk) |
| 157 | { |
| 158 | TF_LITE_KERNEL_LOG(tfLiteContext, "TfLiteArmnnDelegate: Unable to get graph execution plan."); |
| 159 | return nullptr; |
| 160 | } |
| 161 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 162 | // Delegate data with null network |
| 163 | DelegateData delegateData(m_Options.GetBackends()); |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 164 | |
| 165 | TfLiteIntArray* nodesToDelegate = TfLiteIntArrayCreate(executionPlan->size); |
| 166 | nodesToDelegate->size = 0; |
| 167 | for (int i = 0; i < executionPlan->size; ++i) |
| 168 | { |
| 169 | const int nodeIndex = executionPlan->data[i]; |
| 170 | |
| 171 | // If TfLite nodes can be delegated to ArmNN |
| 172 | TfLiteNode* tfLiteNode = nullptr; |
| 173 | TfLiteRegistration* tfLiteRegistration = nullptr; |
| 174 | if (tfLiteContext->GetNodeAndRegistration( |
| 175 | tfLiteContext, nodeIndex, &tfLiteNode, &tfLiteRegistration) != kTfLiteOk) |
| 176 | { |
| 177 | TF_LITE_KERNEL_LOG(tfLiteContext, |
| 178 | "TfLiteArmnnDelegate: Unable to get node and registration for node %d.", |
| 179 | nodeIndex); |
| 180 | continue; |
| 181 | } |
| 182 | |
| 183 | if (ArmnnSubgraph::VisitNode( |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 184 | delegateData, tfLiteContext, tfLiteRegistration, tfLiteNode, nodeIndex) != kTfLiteOk) |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 185 | { |
| 186 | // node is not supported by ArmNN |
| 187 | continue; |
| 188 | } |
| 189 | |
| 190 | nodesToDelegate->data[nodesToDelegate->size++] = nodeIndex; |
| 191 | } |
| 192 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 193 | std::sort(&nodesToDelegate->data[0], &nodesToDelegate->data[nodesToDelegate->size]); |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 194 | return nodesToDelegate; |
| 195 | } |
| 196 | |
| 197 | TfLiteDelegate* Delegate::GetDelegate() |
| 198 | { |
| 199 | return &m_Delegate; |
| 200 | } |
| 201 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 202 | TfLiteStatus ArmnnSubgraph::AddInputLayer(DelegateData& delegateData, |
| 203 | TfLiteContext* tfLiteContext, |
| 204 | const TfLiteIntArray* inputs, |
| 205 | std::vector<armnn::BindingPointInfo>& inputBindings) |
| 206 | { |
| 207 | const size_t numInputs = inputs->size; |
| 208 | for (unsigned int i = 0; i < numInputs; ++i) |
| 209 | { |
| 210 | const int32_t tensorId = inputs->data[i]; |
| 211 | const TfLiteTensor tensor = tfLiteContext->tensors[tensorId]; |
| 212 | |
| 213 | auto bindingId = static_cast<armnn::LayerBindingId>((tensorId)); |
| 214 | armnn::IConnectableLayer* layer = delegateData.m_Network->AddInputLayer(bindingId); |
| 215 | |
| 216 | auto tensorInfo = GetTensorInfoForTfLiteTensor(tensor); |
| 217 | armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); |
| 218 | outputSlot.SetTensorInfo(tensorInfo); |
| 219 | |
| 220 | // Store for creating connections |
| 221 | delegateData.m_OutputSlotForNode[tensorId] = &outputSlot; |
| 222 | |
| 223 | // Do not create bindings for constant inputs |
| 224 | if (tensor.allocation_type != kTfLiteMmapRo) |
| 225 | { |
| 226 | inputBindings.push_back(std::make_pair(bindingId, tensorInfo)); |
| 227 | } |
| 228 | } |
| 229 | return kTfLiteOk; |
| 230 | } |
| 231 | |
| 232 | TfLiteStatus ArmnnSubgraph::AddOutputLayer(DelegateData& delegateData, |
| 233 | TfLiteContext* tfLiteContext, |
| 234 | const TfLiteIntArray* outputs, |
| 235 | std::vector<armnn::BindingPointInfo>& outputBindings) |
| 236 | { |
| 237 | const size_t numOutputs = outputs->size; |
| 238 | for (unsigned int i = 0; i < numOutputs; ++i) |
| 239 | { |
| 240 | const int32_t tensorId = outputs->data[i]; |
| 241 | const TfLiteTensor tensor = tfLiteContext->tensors[tensorId]; |
| 242 | |
| 243 | auto bindingId = static_cast<armnn::LayerBindingId>((tensorId)); |
| 244 | armnn::IConnectableLayer* layer = delegateData.m_Network->AddOutputLayer(bindingId); |
| 245 | |
| 246 | auto tensorInfo = GetTensorInfoForTfLiteTensor(tensor); |
| 247 | |
| 248 | ARMNN_ASSERT(delegateData.m_OutputSlotForNode[tensorId] != nullptr); |
| 249 | delegateData.m_OutputSlotForNode[tensorId]->Connect(layer->GetInputSlot(0)); |
| 250 | outputBindings.push_back(std::make_pair(bindingId, tensorInfo)); |
| 251 | } |
| 252 | |
| 253 | return kTfLiteOk; |
| 254 | } |
| 255 | |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 256 | ArmnnSubgraph* ArmnnSubgraph::Create(TfLiteContext* tfLiteContext, |
| 257 | const TfLiteDelegateParams* parameters, |
| 258 | const Delegate* delegate) |
| 259 | { |
| 260 | TfLiteIntArray* executionPlan; |
| 261 | if (tfLiteContext->GetExecutionPlan(tfLiteContext, &executionPlan) != kTfLiteOk) |
| 262 | { |
| 263 | return nullptr; |
| 264 | } |
| 265 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 266 | // Initialize DelegateData holds network and output slots information |
| 267 | DelegateData delegateData(delegate->m_Options.GetBackends()); |
| 268 | |
| 269 | // Build ArmNN Network |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 270 | using NetworkOptions = std::vector<armnn::BackendOptions>; |
| 271 | armnn::NetworkOptions networkOptions = {}; |
| 272 | armnn::NetworkId networkId; |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 273 | delegateData.m_Network = armnn::INetwork::Create(networkOptions); |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 274 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 275 | delegateData.m_OutputSlotForNode = std::vector<armnn::IOutputSlot*>(parameters->nodes_to_replace->size, nullptr); |
| 276 | |
| 277 | std::vector<armnn::BindingPointInfo> inputBindings; |
| 278 | std::vector<armnn::BindingPointInfo> outputBindings; |
| 279 | |
| 280 | // Add input layer |
| 281 | auto status = AddInputLayer(delegateData, tfLiteContext, parameters->input_tensors, inputBindings); |
| 282 | if (status != kTfLiteOk) |
| 283 | { |
| 284 | throw armnn::Exception("TfLiteArmnnDelegate: Unable to add Inputs to the network!"); |
| 285 | } |
| 286 | |
| 287 | // Parse TfLite delegate nodes to ArmNN |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 288 | for (int i = 0; i < parameters->nodes_to_replace->size; ++i) |
| 289 | { |
| 290 | const int nodeIndex = parameters->nodes_to_replace->data[i]; |
| 291 | |
| 292 | TfLiteNode* tfLiteNode = nullptr; |
| 293 | TfLiteRegistration* tfLiteRegistration = nullptr; |
| 294 | if (tfLiteContext->GetNodeAndRegistration( |
| 295 | tfLiteContext, nodeIndex, &tfLiteNode, &tfLiteRegistration) != kTfLiteOk) |
| 296 | { |
| 297 | throw armnn::Exception("TfLiteArmnnDelegate: Unable to get node registration: " + nodeIndex); |
| 298 | } |
| 299 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 300 | if (VisitNode(delegateData, tfLiteContext, tfLiteRegistration, tfLiteNode, nodeIndex) != kTfLiteOk) |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 301 | { |
| 302 | throw armnn::Exception("TfLiteArmnnDelegate: Unable to parse node: " + nodeIndex); |
| 303 | } |
| 304 | } |
| 305 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 306 | // Add Output layer |
| 307 | status = AddOutputLayer(delegateData, tfLiteContext, parameters->output_tensors, outputBindings); |
| 308 | if (status != kTfLiteOk) |
| 309 | { |
| 310 | throw armnn::Exception("TfLiteArmnnDelegate: Unable to add Outputs to the network!"); |
| 311 | } |
| 312 | |
| 313 | // Optimize ArmNN network |
| 314 | armnn::IOptimizedNetworkPtr optNet(nullptr, nullptr); |
| 315 | try |
| 316 | { |
| 317 | |
| 318 | optNet = armnn::Optimize(*(delegateData.m_Network), |
| 319 | delegate->m_Options.GetBackends(), |
| 320 | delegate->m_Runtime->GetDeviceSpec()); |
| 321 | } |
| 322 | catch (std::exception &ex) |
| 323 | { |
| 324 | std::stringstream exMessage; |
| 325 | exMessage << "TfLiteArmnnDelegate: Exception (" << ex.what() << ") caught from optimize."; |
| 326 | throw armnn::Exception(exMessage.str()); |
| 327 | } |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 328 | if (!optNet) |
| 329 | { |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 330 | // Optimize failed |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 331 | throw armnn::Exception("TfLiteArmnnDelegate: Unable to optimize the network!"); |
| 332 | } |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 333 | |
| 334 | try |
| 335 | { |
| 336 | // Load graph into runtime |
| 337 | auto loadingStatus = delegate->m_Runtime->LoadNetwork(networkId, std::move(optNet)); |
| 338 | if (loadingStatus != armnn::Status::Success) |
| 339 | { |
| 340 | // Optimize failed |
| 341 | throw armnn::Exception("TfLiteArmnnDelegate: Network could not be loaded!");; |
| 342 | } |
| 343 | } |
| 344 | catch (std::exception& ex) |
| 345 | { |
| 346 | std::stringstream exMessage; |
| 347 | exMessage << "TfLiteArmnnDelegate: Exception (" << ex.what() << ") caught from LoadNetwork."; |
| 348 | throw armnn::Exception(exMessage.str()); |
| 349 | } |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 350 | |
| 351 | // Create a new SubGraph with networkId and runtime |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 352 | return new ArmnnSubgraph(networkId, delegate->m_Runtime.get(), inputBindings, outputBindings); |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 353 | } |
| 354 | |
| 355 | TfLiteStatus ArmnnSubgraph::Prepare(TfLiteContext* tfLiteContext) |
| 356 | { |
| 357 | return kTfLiteOk; |
| 358 | } |
| 359 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 360 | TfLiteStatus ArmnnSubgraph::Invoke(TfLiteContext* tfLiteContext, TfLiteNode* tfLiteNode) |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 361 | { |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 362 | // Prepare inputs |
| 363 | armnn::InputTensors inputTensors; |
| 364 | size_t inputIndex = 0; |
| 365 | for (auto inputIdx : tflite::TfLiteIntArrayView(tfLiteNode->inputs)) |
| 366 | { |
| 367 | TfLiteTensor* tensor = &tfLiteContext->tensors[inputIdx]; |
| 368 | if (tensor->allocation_type != kTfLiteMmapRo) |
| 369 | { |
| 370 | const armnn::BindingPointInfo& inputBinding = m_InputBindings[inputIndex]; |
| 371 | const armnn::ConstTensor inputTensor(inputBinding.second, tensor->data.data); |
| 372 | inputTensors.emplace_back(inputIdx, inputTensor); |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 373 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 374 | ++inputIndex; |
| 375 | } |
| 376 | } |
| 377 | |
| 378 | // Prepare outputs |
| 379 | armnn::OutputTensors outputTensors; |
| 380 | size_t outputIndex = 0; |
| 381 | for (auto outputIdx : tflite::TfLiteIntArrayView(tfLiteNode->outputs)) |
| 382 | { |
| 383 | const armnn::BindingPointInfo& outputBinding = m_OutputBindings[outputIndex]; |
| 384 | TfLiteTensor* tensor = &tfLiteContext->tensors[outputIdx]; |
| 385 | const armnn::Tensor outputTensor(outputBinding.second, tensor->data.data); |
| 386 | outputTensors.emplace_back(outputIdx, outputTensor); |
| 387 | |
| 388 | ++outputIndex; |
| 389 | } |
| 390 | |
| 391 | // Run graph |
| 392 | auto status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors); |
| 393 | return (status == armnn::Status::Success) ? kTfLiteOk : kTfLiteError; |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 394 | } |
| 395 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 396 | TfLiteStatus ArmnnSubgraph::VisitNode(DelegateData& delegateData, |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 397 | TfLiteContext* tfLiteContext, |
| 398 | TfLiteRegistration* tfLiteRegistration, |
| 399 | TfLiteNode* tfLiteNode, |
| 400 | int nodeIndex) |
| 401 | { |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 402 | switch (tfLiteRegistration->builtin_code) |
| 403 | { |
| 404 | case kTfLiteBuiltinAbs: |
| 405 | return VisitElementwiseUnaryOperator(delegateData, |
| 406 | tfLiteContext, |
| 407 | tfLiteNode, |
| 408 | nodeIndex, |
| 409 | armnn::UnaryOperation::Abs); |
| 410 | case kTfLiteBuiltinAdd: |
| 411 | return VisitElementwiseBinaryOperator(delegateData, |
| 412 | tfLiteContext, |
| 413 | tfLiteNode, |
| 414 | nodeIndex, |
| 415 | kTfLiteBuiltinAdd); |
| 416 | case kTfLiteBuiltinArgMax: |
| 417 | return VisitArgMinMaxOperator(delegateData, |
| 418 | tfLiteContext, |
| 419 | tfLiteNode, |
| 420 | nodeIndex, |
| 421 | kTfLiteBuiltinArgMax); |
| 422 | case kTfLiteBuiltinArgMin: |
| 423 | return VisitArgMinMaxOperator(delegateData, |
| 424 | tfLiteContext, |
| 425 | tfLiteNode, |
| 426 | nodeIndex, |
| 427 | kTfLiteBuiltinArgMin); |
| 428 | case kTfLiteBuiltinAveragePool2d: |
| 429 | return VisitPoolingOperator(delegateData, |
| 430 | tfLiteContext, |
| 431 | tfLiteNode, |
| 432 | nodeIndex, |
| 433 | kTfLiteBuiltinAveragePool2d); |
| 434 | case kTfLiteBuiltinBatchToSpaceNd: |
| 435 | return VisitBatchToSpaceNdOperator(delegateData, |
| 436 | tfLiteContext, |
| 437 | tfLiteNode, |
| 438 | nodeIndex, |
| 439 | kTfLiteBuiltinBatchToSpaceNd); |
| 440 | case kTfLiteBuiltinConcatenation: |
| 441 | return VisitControlOperator(delegateData, |
| 442 | tfLiteContext, |
| 443 | tfLiteNode, |
| 444 | nodeIndex, |
| 445 | kTfLiteBuiltinConcatenation); |
| 446 | case kTfLiteBuiltinConv2d: |
| 447 | return VisitConvolutionOperator(delegateData, |
| 448 | tfLiteContext, |
| 449 | tfLiteNode, |
| 450 | nodeIndex, |
| 451 | kTfLiteBuiltinConv2d); |
| 452 | case kTfLiteBuiltinDepthToSpace: |
| 453 | return VisitDepthToSpaceOperator(delegateData, |
| 454 | tfLiteContext, |
| 455 | tfLiteNode, |
| 456 | nodeIndex, |
| 457 | kTfLiteBuiltinDepthToSpace); |
| 458 | case kTfLiteBuiltinDepthwiseConv2d: |
| 459 | return VisitConvolutionOperator(delegateData, |
| 460 | tfLiteContext, |
| 461 | tfLiteNode, |
| 462 | nodeIndex, |
| 463 | kTfLiteBuiltinDepthwiseConv2d); |
| 464 | case kTfLiteBuiltinDequantize: |
| 465 | return VisitDequantizeOperator(delegateData, |
| 466 | tfLiteContext, |
| 467 | tfLiteNode, |
| 468 | nodeIndex, |
| 469 | kTfLiteBuiltinDequantize); |
| 470 | case kTfLiteBuiltinDiv: |
| 471 | return VisitElementwiseBinaryOperator(delegateData, |
| 472 | tfLiteContext, |
| 473 | tfLiteNode, |
| 474 | nodeIndex, |
| 475 | kTfLiteBuiltinDiv); |
| 476 | case kTfLiteBuiltinElu: |
| 477 | return VisitActivationOperator(delegateData, |
| 478 | tfLiteContext, |
| 479 | tfLiteNode, |
| 480 | nodeIndex, |
| 481 | kTfLiteBuiltinElu); |
| 482 | case kTfLiteBuiltinEqual: |
| 483 | return VisitComparisonOperator(delegateData, |
| 484 | tfLiteContext, |
| 485 | tfLiteNode, |
| 486 | nodeIndex, |
| 487 | kTfLiteBuiltinEqual); |
| 488 | case kTfLiteBuiltinExp: |
| 489 | return VisitElementwiseUnaryOperator(delegateData, |
| 490 | tfLiteContext, |
| 491 | tfLiteNode, |
| 492 | nodeIndex, |
| 493 | armnn::UnaryOperation::Exp); |
| 494 | case kTfLiteBuiltinExpandDims: |
| 495 | return VisitExpandDimsOperator(delegateData, |
| 496 | tfLiteContext, |
| 497 | tfLiteNode, |
| 498 | nodeIndex, |
| 499 | kTfLiteBuiltinExpandDims); |
| 500 | case kTfLiteBuiltinFill: |
| 501 | return VisitFillOperator(delegateData, |
| 502 | tfLiteContext, |
| 503 | tfLiteNode, |
| 504 | nodeIndex, |
| 505 | kTfLiteBuiltinFill); |
| 506 | case kTfLiteBuiltinFloor: |
| 507 | return VisitFloorOperator(delegateData, |
| 508 | tfLiteContext, |
| 509 | tfLiteNode, |
| 510 | nodeIndex, |
| 511 | kTfLiteBuiltinFloor); |
| 512 | case kTfLiteBuiltinFullyConnected: |
| 513 | return VisitFullyConnectedOperator(delegateData, |
| 514 | tfLiteContext, |
| 515 | tfLiteNode, |
| 516 | nodeIndex, |
| 517 | kTfLiteBuiltinFullyConnected); |
| 518 | case kTfLiteBuiltinGather: |
| 519 | return VisitGatherOperator(delegateData, |
| 520 | tfLiteContext, |
| 521 | tfLiteNode, |
| 522 | nodeIndex, |
| 523 | kTfLiteBuiltinGather); |
| 524 | case kTfLiteBuiltinGatherNd: |
| 525 | return VisitGatherOperator(delegateData, |
| 526 | tfLiteContext, |
| 527 | tfLiteNode, |
| 528 | nodeIndex, |
| 529 | kTfLiteBuiltinGatherNd); |
| 530 | case kTfLiteBuiltinGreater: |
| 531 | return VisitComparisonOperator(delegateData, |
| 532 | tfLiteContext, |
| 533 | tfLiteNode, |
| 534 | nodeIndex, |
| 535 | kTfLiteBuiltinGreater); |
| 536 | case kTfLiteBuiltinGreaterEqual: |
| 537 | return VisitComparisonOperator(delegateData, |
| 538 | tfLiteContext, |
| 539 | tfLiteNode, |
| 540 | nodeIndex, |
| 541 | kTfLiteBuiltinGreaterEqual); |
| 542 | case kTfLiteBuiltinHardSwish: |
| 543 | return VisitActivationOperator(delegateData, |
| 544 | tfLiteContext, |
| 545 | tfLiteNode, |
| 546 | nodeIndex, |
| 547 | kTfLiteBuiltinHardSwish); |
| 548 | case kTfLiteBuiltinL2Normalization: |
| 549 | return VisitNormalizationOperator(delegateData, |
| 550 | tfLiteContext, |
| 551 | tfLiteNode, |
| 552 | nodeIndex, |
| 553 | kTfLiteBuiltinL2Normalization); |
| 554 | case kTfLiteBuiltinL2Pool2d: |
| 555 | return VisitPoolingOperator(delegateData, |
| 556 | tfLiteContext, |
| 557 | tfLiteNode, |
| 558 | nodeIndex, |
| 559 | kTfLiteBuiltinL2Pool2d); |
| 560 | case kTfLiteBuiltinLess: |
| 561 | return VisitComparisonOperator(delegateData, |
| 562 | tfLiteContext, |
| 563 | tfLiteNode, |
| 564 | nodeIndex, |
| 565 | kTfLiteBuiltinLess); |
| 566 | case kTfLiteBuiltinLessEqual: |
| 567 | return VisitComparisonOperator(delegateData, |
| 568 | tfLiteContext, |
| 569 | tfLiteNode, |
| 570 | nodeIndex, |
| 571 | kTfLiteBuiltinLessEqual); |
| 572 | case kTfLiteBuiltinLocalResponseNormalization: |
| 573 | return VisitNormalizationOperator(delegateData, |
| 574 | tfLiteContext, |
| 575 | tfLiteNode, |
| 576 | nodeIndex, |
| 577 | kTfLiteBuiltinLocalResponseNormalization); |
| 578 | case kTfLiteBuiltinLogistic: |
| 579 | return VisitActivationOperator(delegateData, |
| 580 | tfLiteContext, |
| 581 | tfLiteNode, |
| 582 | nodeIndex, |
| 583 | kTfLiteBuiltinLogistic); |
| 584 | case kTfLiteBuiltinLogSoftmax: |
| 585 | return VisitSoftmaxOperator(delegateData, |
| 586 | tfLiteContext, |
| 587 | tfLiteNode, |
| 588 | nodeIndex, |
| 589 | kTfLiteBuiltinLogSoftmax); |
| 590 | case kTfLiteBuiltinLstm: |
| 591 | return VisitLstmOperator(delegateData, |
| 592 | tfLiteContext, |
| 593 | tfLiteNode, |
| 594 | nodeIndex, |
| 595 | kTfLiteBuiltinLstm); |
| 596 | case kTfLiteBuiltinMaxPool2d: |
| 597 | return VisitPoolingOperator(delegateData, |
| 598 | tfLiteContext, |
| 599 | tfLiteNode, |
| 600 | nodeIndex, |
| 601 | kTfLiteBuiltinMaxPool2d); |
| 602 | case kTfLiteBuiltinMaximum: |
| 603 | return VisitElementwiseBinaryOperator(delegateData, |
| 604 | tfLiteContext, |
| 605 | tfLiteNode, |
| 606 | nodeIndex, |
| 607 | kTfLiteBuiltinMaximum); |
| 608 | case kTfLiteBuiltinMean: |
| 609 | return VisitControlOperator(delegateData, |
| 610 | tfLiteContext, |
| 611 | tfLiteNode, |
| 612 | nodeIndex, |
| 613 | kTfLiteBuiltinMean); |
| 614 | case kTfLiteBuiltinMinimum: |
| 615 | return VisitElementwiseBinaryOperator(delegateData, |
| 616 | tfLiteContext, |
| 617 | tfLiteNode, |
| 618 | nodeIndex, |
| 619 | kTfLiteBuiltinMinimum); |
| 620 | case kTfLiteBuiltinMul: |
| 621 | return VisitElementwiseBinaryOperator(delegateData, |
| 622 | tfLiteContext, |
| 623 | tfLiteNode, |
| 624 | nodeIndex, |
| 625 | kTfLiteBuiltinMul); |
| 626 | case kTfLiteBuiltinNeg: |
| 627 | return VisitElementwiseUnaryOperator(delegateData, |
| 628 | tfLiteContext, |
| 629 | tfLiteNode, |
| 630 | nodeIndex, |
| 631 | armnn::UnaryOperation::Neg); |
| 632 | case kTfLiteBuiltinNotEqual: |
| 633 | return VisitComparisonOperator(delegateData, |
| 634 | tfLiteContext, |
| 635 | tfLiteNode, |
| 636 | nodeIndex, |
| 637 | kTfLiteBuiltinNotEqual); |
| 638 | case kTfLiteBuiltinPad: |
| 639 | return VisitPadOperator(delegateData, |
| 640 | tfLiteContext, |
| 641 | tfLiteNode, |
| 642 | nodeIndex, |
| 643 | kTfLiteBuiltinPad); |
| 644 | case kTfLiteBuiltinPadv2: |
| 645 | return VisitPadOperator(delegateData, |
| 646 | tfLiteContext, |
| 647 | tfLiteNode, |
| 648 | nodeIndex, |
| 649 | kTfLiteBuiltinPadv2); |
| 650 | case kTfLiteBuiltinPrelu: |
| 651 | return VisitActivationOperator(delegateData, |
| 652 | tfLiteContext, |
| 653 | tfLiteNode, |
| 654 | nodeIndex, |
| 655 | kTfLiteBuiltinPrelu); |
| 656 | case kTfLiteBuiltinQuantize: |
| 657 | return VisitQuantizeOperator(delegateData, |
| 658 | tfLiteContext, |
| 659 | tfLiteNode, |
| 660 | nodeIndex, |
| 661 | kTfLiteBuiltinQuantize); |
| 662 | case kTfLiteBuiltinRank: |
| 663 | return VisitControlOperator(delegateData, |
| 664 | tfLiteContext, |
| 665 | tfLiteNode, |
| 666 | nodeIndex, |
| 667 | kTfLiteBuiltinRank); |
| 668 | case kTfLiteBuiltinRelu: |
| 669 | return VisitActivationOperator(delegateData, |
| 670 | tfLiteContext, |
| 671 | tfLiteNode, |
| 672 | nodeIndex, |
| 673 | kTfLiteBuiltinRelu); |
| 674 | case kTfLiteBuiltinReluN1To1: |
| 675 | return VisitActivationOperator(delegateData, |
| 676 | tfLiteContext, |
| 677 | tfLiteNode, |
| 678 | nodeIndex, |
| 679 | kTfLiteBuiltinReluN1To1); |
| 680 | case kTfLiteBuiltinRelu6: |
| 681 | return VisitActivationOperator(delegateData, |
| 682 | tfLiteContext, |
| 683 | tfLiteNode, |
| 684 | nodeIndex, |
| 685 | kTfLiteBuiltinRelu6); |
| 686 | case kTfLiteBuiltinReshape: |
| 687 | return VisitReshapeOperator(delegateData, |
| 688 | tfLiteContext, |
| 689 | tfLiteNode, |
| 690 | nodeIndex, |
| 691 | kTfLiteBuiltinReshape); |
| 692 | case kTfLiteBuiltinResizeBilinear: |
| 693 | return VisitResizeOperator(delegateData, |
| 694 | tfLiteContext, |
| 695 | tfLiteNode, |
| 696 | nodeIndex, |
| 697 | kTfLiteBuiltinResizeBilinear); |
| 698 | case kTfLiteBuiltinResizeNearestNeighbor: |
| 699 | return VisitResizeOperator(delegateData, |
| 700 | tfLiteContext, |
| 701 | tfLiteNode, |
| 702 | nodeIndex, |
| 703 | kTfLiteBuiltinResizeNearestNeighbor); |
| 704 | case kTfLiteBuiltinRsqrt: |
| 705 | return VisitElementwiseUnaryOperator(delegateData, |
| 706 | tfLiteContext, |
| 707 | tfLiteNode, |
| 708 | nodeIndex, |
| 709 | armnn::UnaryOperation::Rsqrt); |
| 710 | case kTfLiteBuiltinSqrt: |
| 711 | return VisitElementwiseUnaryOperator(delegateData, |
| 712 | tfLiteContext, |
| 713 | tfLiteNode, |
| 714 | nodeIndex, |
| 715 | armnn::UnaryOperation::Sqrt); |
| 716 | case kTfLiteBuiltinSqueeze: |
| 717 | return VisitSqueezeOperator(delegateData, |
| 718 | tfLiteContext, |
| 719 | tfLiteNode, |
| 720 | nodeIndex, |
| 721 | kTfLiteBuiltinSqueeze); |
| 722 | case kTfLiteBuiltinStridedSlice: |
| 723 | return VisitSliceOperator(delegateData, |
| 724 | tfLiteContext, |
| 725 | tfLiteNode, |
| 726 | nodeIndex, |
| 727 | kTfLiteBuiltinStridedSlice); |
| 728 | case kTfLiteBuiltinTranspose: |
| 729 | return VisitTransposeOperator(delegateData, |
| 730 | tfLiteContext, |
| 731 | tfLiteNode, |
| 732 | nodeIndex, |
| 733 | kTfLiteBuiltinTranspose); |
| 734 | case kTfLiteBuiltinTransposeConv: |
| 735 | return VisitConvolutionOperator(delegateData, |
| 736 | tfLiteContext, |
| 737 | tfLiteNode, |
| 738 | nodeIndex, |
| 739 | kTfLiteBuiltinTransposeConv); |
| 740 | case kTfLiteBuiltinSoftmax: |
| 741 | return VisitSoftmaxOperator(delegateData, |
| 742 | tfLiteContext, |
| 743 | tfLiteNode, |
| 744 | nodeIndex, |
| 745 | kTfLiteBuiltinSoftmax); |
| 746 | case kTfLiteBuiltinSpaceToBatchNd: |
| 747 | return VisitSpaceToBatchNdOperator(delegateData, |
| 748 | tfLiteContext, |
| 749 | tfLiteNode, |
| 750 | nodeIndex, |
| 751 | kTfLiteBuiltinSpaceToBatchNd); |
| 752 | case kTfLiteBuiltinSpaceToDepth: |
| 753 | return VisitSpaceToDepthOperator(delegateData, |
| 754 | tfLiteContext, |
| 755 | tfLiteNode, |
| 756 | nodeIndex, |
| 757 | kTfLiteBuiltinSpaceToDepth); |
| 758 | case kTfLiteBuiltinSub: |
| 759 | return VisitElementwiseBinaryOperator(delegateData, |
| 760 | tfLiteContext, |
| 761 | tfLiteNode, |
| 762 | nodeIndex, |
| 763 | kTfLiteBuiltinSub); |
| 764 | case kTfLiteBuiltinTanh: |
| 765 | return VisitActivationOperator(delegateData, |
| 766 | tfLiteContext, |
| 767 | tfLiteNode, |
| 768 | nodeIndex, |
| 769 | kTfLiteBuiltinTanh); |
| 770 | default: |
| 771 | return kTfLiteError; |
| 772 | } |
Sadik Armagan | 3c24f43 | 2020-10-19 17:35:30 +0100 | [diff] [blame] | 773 | } |
| 774 | |
| 775 | } // armnnDelegate namespace |