Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <armnn/ArmNN.hpp> |
| 9 | #include <armnn/BackendHelper.hpp> |
| 10 | #include <armnn/utility/Assert.hpp> |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 11 | #include <armnn/utility/NumericCast.hpp> |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 12 | |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 13 | #include <armnnUtils/Permute.hpp> |
| 14 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 15 | #include <tensorflow/lite/builtin_ops.h> |
| 16 | #include <tensorflow/lite/c/builtin_op_data.h> |
| 17 | #include <tensorflow/lite/c/common.h> |
| 18 | #include <tensorflow/lite/minimal_logging.h> |
| 19 | |
Sadik Armagan | 05e9fd2 | 2020-11-17 12:01:47 +0000 | [diff] [blame] | 20 | #include "tensorflow/lite/kernels/kernel_util.h" |
| 21 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 22 | namespace |
| 23 | { |
| 24 | |
| 25 | // Macro to call an Is<layer_name>Supported function and log caller name together with reason for lack of support |
| 26 | #define FORWARD_LAYER_SUPPORT_FUNC(funcName, tfLiteContext, func, backends, supported, ...) \ |
| 27 | try \ |
| 28 | { \ |
| 29 | for (auto&& backendId : backends) \ |
| 30 | { \ |
| 31 | auto layerSupportObject = armnn::GetILayerSupportByBackendId(backendId); \ |
Francis Murtagh | 7909c53 | 2021-01-28 14:25:15 +0000 | [diff] [blame] | 32 | if (layerSupportObject.IsBackendRegistered()) \ |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 33 | { \ |
| 34 | std::string reasonIfUnsupported; \ |
| 35 | supported = \ |
Francis Murtagh | 7909c53 | 2021-01-28 14:25:15 +0000 | [diff] [blame] | 36 | layerSupportObject.func(__VA_ARGS__, armnn::Optional<std::string&>(reasonIfUnsupported)); \ |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 37 | if (supported) \ |
| 38 | { \ |
| 39 | break; \ |
| 40 | } \ |
| 41 | else \ |
| 42 | { \ |
| 43 | if (reasonIfUnsupported.size() > 0) \ |
| 44 | { \ |
Narumol Prangnawarat | 0b51d5a | 2021-01-20 15:58:29 +0000 | [diff] [blame] | 45 | TFLITE_LOG_PROD(tflite::TFLITE_LOG_WARNING, \ |
| 46 | "%s: not supported by armnn: %s", funcName, reasonIfUnsupported.c_str()); \ |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 47 | } \ |
| 48 | else \ |
| 49 | { \ |
Narumol Prangnawarat | 0b51d5a | 2021-01-20 15:58:29 +0000 | [diff] [blame] | 50 | TFLITE_LOG_PROD(tflite::TFLITE_LOG_WARNING, \ |
| 51 | "%s: not supported by armnn", funcName); \ |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 52 | } \ |
| 53 | } \ |
| 54 | } \ |
| 55 | else \ |
| 56 | { \ |
| 57 | TF_LITE_KERNEL_LOG(tfLiteContext, "%s: backend not registered: %s", funcName, backendId.Get().c_str()); \ |
| 58 | } \ |
| 59 | } \ |
| 60 | if (!supported) \ |
| 61 | { \ |
| 62 | TF_LITE_KERNEL_LOG(tfLiteContext, "%s: not supported by any specified backend", funcName); \ |
| 63 | } \ |
| 64 | } \ |
| 65 | catch (const armnn::InvalidArgumentException &e) \ |
| 66 | { \ |
| 67 | throw armnn::InvalidArgumentException(e, "Failed to check layer support", CHECK_LOCATION()); \ |
| 68 | } |
| 69 | |
| 70 | TfLiteStatus ValidateNumInputs(TfLiteContext* tfLiteContext, |
| 71 | TfLiteNode* tfLiteNode, |
| 72 | const unsigned int expectedSize, |
| 73 | int nodeIndex) |
| 74 | { |
| 75 | auto numInputs = tfLiteNode->inputs->size; |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 76 | if (static_cast<unsigned int >(numInputs) != expectedSize) |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 77 | { |
| 78 | TF_LITE_MAYBE_KERNEL_LOG( |
| 79 | tfLiteContext, "TfLiteArmnnDelegate: Unexpected number of inputs (%d != %d) in node #%d", |
| 80 | numInputs, expectedSize, nodeIndex); |
| 81 | return kTfLiteError; |
| 82 | } |
| 83 | return kTfLiteOk; |
| 84 | } |
| 85 | |
| 86 | TfLiteStatus ValidateNumOutputs(TfLiteContext* tfLiteContext, |
| 87 | TfLiteNode* tfLiteNode, |
| 88 | const unsigned int expectedSize, |
| 89 | int nodeIndex) |
| 90 | { |
| 91 | auto numOutputs = tfLiteNode->outputs->size; |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 92 | if (static_cast<unsigned int >(numOutputs) != expectedSize) |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 93 | { |
| 94 | TF_LITE_MAYBE_KERNEL_LOG( |
| 95 | tfLiteContext, "TfLiteArmnnDelegate: Unexpected number of outputs (%d != %d) in node #%d", |
| 96 | numOutputs, expectedSize, nodeIndex); |
| 97 | return kTfLiteError; |
| 98 | } |
| 99 | return kTfLiteOk; |
| 100 | } |
| 101 | |
Sadik Armagan | 34fa1bd | 2020-11-27 12:40:52 +0000 | [diff] [blame] | 102 | bool IsDynamicTensor(const TfLiteTensor& tfLiteTensor) |
| 103 | { |
| 104 | auto tensorAllocationType = tfLiteTensor.allocation_type; |
| 105 | if (tensorAllocationType == kTfLiteDynamic) |
| 106 | { |
| 107 | return true; |
| 108 | } |
| 109 | return false; |
| 110 | } |
| 111 | |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 112 | bool IsValid(const TfLiteTensor* tfLiteTensor) |
| 113 | { |
| 114 | return tfLiteTensor == nullptr ? false : true; |
| 115 | } |
| 116 | |
Sadik Armagan | 34fa1bd | 2020-11-27 12:40:52 +0000 | [diff] [blame] | 117 | bool IsValid(TfLiteContext* tfLiteContext, const TfLiteTensor& tfLiteTensor, int32_t operatorCode, int32_t nodeIndex) |
| 118 | { |
| 119 | if(!IsValid(&tfLiteTensor)) |
| 120 | { |
| 121 | std::cout << "..Is Not Valid" << std::endl; |
| 122 | TF_LITE_MAYBE_KERNEL_LOG( |
| 123 | tfLiteContext, |
| 124 | "TfLiteArmnnDelegate: Invalid TfLite tensor in operator #%d node #%d: ", |
| 125 | operatorCode, nodeIndex); |
| 126 | return false; |
| 127 | } |
| 128 | if (IsDynamicTensor(tfLiteTensor)) |
| 129 | { |
| 130 | std::cout << "..IsDynamicTensor" << std::endl; |
| 131 | TF_LITE_MAYBE_KERNEL_LOG( |
| 132 | tfLiteContext, |
| 133 | "TfLiteArmnnDelegate: Dynamic tensors are not supported in operator #%d node #%d: ", |
| 134 | operatorCode, nodeIndex); |
| 135 | return false; |
| 136 | } |
| 137 | return true; |
| 138 | } |
| 139 | |
Sadik Armagan | 32ca144 | 2020-11-13 17:51:56 +0000 | [diff] [blame] | 140 | uint32_t NonNegative(int32_t value, int nodeIndex) |
| 141 | { |
| 142 | if (value < 0) |
| 143 | { |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 144 | throw armnn::Exception( |
| 145 | "TfLiteArmnnDelegate: Non-negative value in node " + std::to_string(static_cast<int>(nodeIndex))); |
Sadik Armagan | 32ca144 | 2020-11-13 17:51:56 +0000 | [diff] [blame] | 146 | } |
| 147 | else |
| 148 | { |
| 149 | return static_cast<uint32_t>(value); |
| 150 | } |
| 151 | } |
| 152 | |
Matthew Sloyan | 0d35a93 | 2020-11-09 12:25:05 +0000 | [diff] [blame] | 153 | bool IsAffineQuantization(const TfLiteTensor& tfLiteTensor) |
| 154 | { |
| 155 | auto quantizationInfo = tfLiteTensor.quantization; |
| 156 | if (quantizationInfo.type == kTfLiteAffineQuantization) |
| 157 | { |
| 158 | return true; |
| 159 | } |
| 160 | return false; |
| 161 | } |
| 162 | |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 163 | TfLiteStatus Connect(armnn::IConnectableLayer* layer, |
| 164 | TfLiteNode* tfLiteNode, |
| 165 | armnnDelegate::DelegateData& data) |
| 166 | { |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 167 | ARMNN_ASSERT(static_cast<unsigned int>(tfLiteNode->outputs->size) == layer->GetNumOutputSlots()); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 168 | |
| 169 | // Connect the input slots |
| 170 | for (unsigned int inputIndex = 0; inputIndex < layer->GetNumInputSlots(); ++inputIndex) |
| 171 | { |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 172 | if (data.m_OutputSlotForNode[tfLiteNode->inputs->data[inputIndex]] != nullptr) |
| 173 | { |
| 174 | data.m_OutputSlotForNode[tfLiteNode->inputs->data[inputIndex]]->Connect(layer->GetInputSlot(inputIndex)); |
| 175 | } |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 176 | } |
| 177 | |
| 178 | // Prepare output slots |
| 179 | for (unsigned int outputIndex = 0; outputIndex < layer->GetNumOutputSlots(); ++outputIndex) |
| 180 | { |
| 181 | armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(outputIndex); |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 182 | data.m_OutputSlotForNode[static_cast<unsigned long>(tfLiteNode->outputs->data[outputIndex])] = &outputSlot; |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 183 | } |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 184 | |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 185 | return kTfLiteOk; |
| 186 | } |
| 187 | |
| 188 | armnn::IConnectableLayer* BroadcastTensor(const armnn::TensorInfo& inputInfo0, |
| 189 | const armnn::TensorInfo& inputInfo1, |
| 190 | armnn::IConnectableLayer* startLayer, |
| 191 | TfLiteContext* tfLiteContext, |
| 192 | TfLiteNode* tfLiteNode, |
| 193 | armnnDelegate::DelegateData& delegateData) |
| 194 | { |
| 195 | unsigned int inputDimensions0 = inputInfo0.GetNumDimensions(); |
| 196 | unsigned int inputDimensions1 = inputInfo1.GetNumDimensions(); |
| 197 | |
| 198 | if (inputDimensions0 == inputDimensions1) |
| 199 | { |
| 200 | auto status = Connect(startLayer, tfLiteNode, delegateData); |
Sadik Armagan | 8b9858d | 2020-11-09 08:26:22 +0000 | [diff] [blame] | 201 | return status == kTfLiteOk ? startLayer : nullptr; |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 202 | } |
| 203 | |
| 204 | unsigned int biggerInputDimensions = std::max(inputDimensions0, inputDimensions1); |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 205 | unsigned int dimDifference = static_cast<unsigned int>(std::abs(armnn::numeric_cast<int>(inputDimensions0) - |
| 206 | armnn::numeric_cast<int>(inputDimensions1))); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 207 | |
| 208 | bool input0IsSmaller = inputDimensions0 < inputDimensions1; |
| 209 | const armnn::TensorInfo& smallInfo = input0IsSmaller ? inputInfo0 : inputInfo1; |
| 210 | const armnn::TensorShape& smallShape = smallInfo.GetShape(); |
| 211 | |
| 212 | std::vector<unsigned int> reshapedDimensions(biggerInputDimensions, 1); |
| 213 | for (unsigned int i = dimDifference; i < biggerInputDimensions; ++i) |
| 214 | { |
| 215 | reshapedDimensions[i] = smallShape[i - dimDifference]; |
| 216 | } |
| 217 | |
| 218 | armnn::TensorInfo reshapedInfo = smallInfo; |
| 219 | reshapedInfo.SetShape(armnn::TensorShape{ armnn::numeric_cast<unsigned int>(reshapedDimensions.size()), |
| 220 | reshapedDimensions.data() }); |
| 221 | |
| 222 | armnn::ReshapeDescriptor reshapeDescriptor; |
| 223 | bool isSupported = false; |
| 224 | FORWARD_LAYER_SUPPORT_FUNC(__func__, |
| 225 | tfLiteContext, |
| 226 | IsReshapeSupported, |
| 227 | delegateData.m_Backends, |
| 228 | isSupported, |
| 229 | smallInfo, |
| 230 | reshapedInfo, |
| 231 | reshapeDescriptor); |
| 232 | if (!isSupported) |
| 233 | { |
| 234 | return nullptr; |
| 235 | } |
| 236 | |
| 237 | ARMNN_ASSERT(delegateData.m_Network != nullptr); |
| 238 | // Add Reshape layer |
| 239 | reshapeDescriptor.m_TargetShape = reshapedInfo.GetShape(); |
| 240 | |
| 241 | armnn::IConnectableLayer* reshapeLayer = delegateData.m_Network->AddReshapeLayer(reshapeDescriptor); |
| 242 | ARMNN_ASSERT(reshapeLayer != nullptr); |
| 243 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(reshapedInfo); |
| 244 | |
| 245 | if (input0IsSmaller) |
| 246 | { |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 247 | delegateData.m_OutputSlotForNode[static_cast<unsigned long>(tfLiteNode->inputs->data[0])] |
| 248 | ->Connect(reshapeLayer->GetInputSlot(0)); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 249 | reshapeLayer->GetOutputSlot(0).Connect(startLayer->GetInputSlot(0)); |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 250 | delegateData.m_OutputSlotForNode[static_cast<unsigned long>(tfLiteNode->inputs->data[1])] |
| 251 | ->Connect(startLayer->GetInputSlot(1)); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 252 | } |
| 253 | else |
| 254 | { |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 255 | delegateData.m_OutputSlotForNode[static_cast<unsigned long>(tfLiteNode->inputs->data[1])] |
| 256 | ->Connect(reshapeLayer->GetInputSlot(0)); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 257 | reshapeLayer->GetOutputSlot(0).Connect(startLayer->GetInputSlot(1)); |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 258 | delegateData.m_OutputSlotForNode[static_cast<unsigned long>(tfLiteNode->inputs->data[0])] |
| 259 | ->Connect(startLayer->GetInputSlot(0)); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 260 | } |
| 261 | |
| 262 | // Prepare output slots |
| 263 | for (unsigned int outputIndex = 0; outputIndex < startLayer->GetNumOutputSlots(); ++outputIndex) |
| 264 | { |
| 265 | armnn::IOutputSlot& outputSlot = startLayer->GetOutputSlot(outputIndex); |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 266 | delegateData.m_OutputSlotForNode |
| 267 | [static_cast<unsigned long>(tfLiteNode->outputs->data[outputIndex])] = &outputSlot; |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 268 | } |
| 269 | |
| 270 | return reshapeLayer; |
| 271 | } |
| 272 | |
| 273 | TfLiteStatus FusedActivation(TfLiteContext* tfLiteContext, |
| 274 | TfLiteNode* tfLiteNode, |
| 275 | TfLiteFusedActivation activationType, |
| 276 | armnn::IConnectableLayer* prevLayer, |
| 277 | unsigned int outputSlotIndex, |
| 278 | armnnDelegate::DelegateData& data) |
| 279 | { |
| 280 | |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 281 | const armnn::TensorInfo& activationOutputInfo = prevLayer->GetOutputSlot(outputSlotIndex).GetTensorInfo(); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 282 | |
| 283 | armnn::ActivationDescriptor activationDesc; |
| 284 | |
| 285 | switch (activationType) |
| 286 | { |
| 287 | case kTfLiteActNone: |
| 288 | { |
| 289 | // No Activation |
| 290 | return kTfLiteOk; |
| 291 | } |
| 292 | case kTfLiteActRelu: |
| 293 | { |
| 294 | activationDesc.m_Function = armnn::ActivationFunction::ReLu; |
| 295 | break; |
| 296 | } |
| 297 | case kTfLiteActRelu1: |
| 298 | { |
| 299 | activationDesc.m_Function = armnn::ActivationFunction::BoundedReLu; |
| 300 | activationDesc.m_A = 1.0f; |
| 301 | activationDesc.m_B = -1.0f; |
| 302 | break; |
| 303 | } |
| 304 | case kTfLiteActRelu6: |
| 305 | { |
| 306 | activationDesc.m_Function = armnn::ActivationFunction::BoundedReLu; |
| 307 | activationDesc.m_A = 6.0f; |
| 308 | activationDesc.m_B = 0.0f; |
| 309 | break; |
| 310 | } |
| 311 | case kTfLiteActSigmoid: |
| 312 | { |
| 313 | activationDesc.m_Function = armnn::ActivationFunction::Sigmoid; |
| 314 | break; |
| 315 | } |
| 316 | case kTfLiteActTanh: |
| 317 | { |
| 318 | activationDesc.m_Function = armnn::ActivationFunction::TanH; |
| 319 | activationDesc.m_A = 1.0f; |
| 320 | activationDesc.m_B = 1.0f; |
| 321 | break; |
| 322 | } |
| 323 | default: |
| 324 | return kTfLiteError; |
| 325 | } |
| 326 | |
| 327 | bool isSupported = false; |
| 328 | FORWARD_LAYER_SUPPORT_FUNC(__func__, |
| 329 | tfLiteContext, |
| 330 | IsActivationSupported, |
| 331 | data.m_Backends, |
| 332 | isSupported, |
| 333 | prevLayer->GetOutputSlot(0).GetTensorInfo(), |
| 334 | activationOutputInfo, |
| 335 | activationDesc); |
| 336 | if (!isSupported) |
| 337 | { |
| 338 | return kTfLiteError; |
| 339 | } |
| 340 | armnn::IConnectableLayer* activationLayer = data.m_Network->AddActivationLayer(activationDesc); |
| 341 | |
| 342 | ARMNN_ASSERT(activationLayer != nullptr); |
| 343 | activationLayer->GetOutputSlot(0).SetTensorInfo(activationOutputInfo); |
| 344 | |
| 345 | // Connect and prepare output slots |
| 346 | for (unsigned int outputIndex = 0; outputIndex < activationLayer->GetNumOutputSlots(); ++outputIndex) |
| 347 | { |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 348 | data.m_OutputSlotForNode[static_cast<unsigned long>( |
| 349 | tfLiteNode->outputs->data[outputIndex])]->Connect(activationLayer->GetInputSlot(0)); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 350 | armnn::IOutputSlot& outputSlot = activationLayer->GetOutputSlot(outputIndex); |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 351 | data.m_OutputSlotForNode[static_cast<unsigned long>( |
| 352 | tfLiteNode->outputs->data[outputIndex])] = &outputSlot; |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 353 | } |
| 354 | return kTfLiteOk; |
| 355 | } |
| 356 | |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 357 | armnn::DataType GetDataType(const TfLiteTensor& tfLiteTensor) |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 358 | { |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 359 | switch (tfLiteTensor.type) |
| 360 | { |
| 361 | case kTfLiteBool: |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 362 | return armnn::DataType::Boolean; |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 363 | case kTfLiteFloat32: |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 364 | return armnn::DataType::Float32; |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 365 | case kTfLiteFloat16: |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 366 | return armnn::DataType::Float16; |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 367 | case kTfLiteUInt8: |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 368 | return armnn::DataType::QAsymmU8; |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 369 | case kTfLiteInt8: |
Sadik Armagan | 15f7fae | 2020-11-18 09:37:03 +0000 | [diff] [blame] | 370 | { |
| 371 | auto quantizationInfo = tfLiteTensor.quantization; |
| 372 | if (quantizationInfo.type == kTfLiteAffineQuantization) |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 373 | { |
Sadik Armagan | 15f7fae | 2020-11-18 09:37:03 +0000 | [diff] [blame] | 374 | auto* quantization = |
| 375 | reinterpret_cast<TfLiteAffineQuantization*>(tfLiteTensor.quantization.params); |
| 376 | if (quantization->zero_point != nullptr && quantization->zero_point->size == 1) |
| 377 | { |
| 378 | return armnn::DataType::QAsymmS8; |
| 379 | } |
| 380 | else |
| 381 | { |
| 382 | return armnn::DataType::QSymmS8; |
| 383 | } |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 384 | } |
| 385 | else |
| 386 | { |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 387 | return armnn::DataType::QAsymmS8; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 388 | } |
Sadik Armagan | 15f7fae | 2020-11-18 09:37:03 +0000 | [diff] [blame] | 389 | } |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 390 | case kTfLiteInt16: |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 391 | return armnn::DataType::QSymmS16; |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 392 | case kTfLiteInt32: |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 393 | return armnn::DataType::Signed32; |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 394 | case kTfLiteInt64: |
| 395 | return armnn::DataType::Signed64; |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 396 | default: |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 397 | throw armnn::Exception(&"TfLiteArmnnDelegate: Unsupported data type: " [ tfLiteTensor.type]); |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 398 | } |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 399 | } |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 400 | |
Jan Eilers | 7612bd6 | 2021-04-06 17:29:03 +0100 | [diff] [blame] | 401 | armnn::TensorInfo GetTensorInfoForTfLiteTensor(const TfLiteTensor& tfLiteTensor) |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 402 | { |
| 403 | armnn::DataType type = GetDataType(tfLiteTensor); |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 404 | armnn::TensorInfo ret; |
| 405 | auto tensorDimensionSize = tfLiteTensor.dims->size; |
| 406 | if (tensorDimensionSize == 0) |
| 407 | { |
Sadik Armagan | 05e9fd2 | 2020-11-17 12:01:47 +0000 | [diff] [blame] | 408 | if(tflite::IsConstantTensor(&tfLiteTensor)) |
| 409 | { |
| 410 | std::vector<unsigned int> safeShape = { 1 }; |
| 411 | bool dimensionsSpecificity[1] = { true }; |
| 412 | armnn::TensorShape tensorShape(armnn::numeric_cast<unsigned int>(safeShape.size()), |
| 413 | safeShape.data(), |
| 414 | dimensionsSpecificity); |
| 415 | ret = armnn::TensorInfo(tensorShape, type); |
| 416 | } |
| 417 | else |
| 418 | { |
| 419 | armnn::TensorShape tensorShape(armnn::Dimensionality::NotSpecified); |
| 420 | ret = armnn::TensorInfo(tensorShape, type); |
| 421 | } |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 422 | } |
| 423 | else |
| 424 | { |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 425 | std::vector<unsigned int> tensorDims(static_cast<unsigned int>(tensorDimensionSize)); |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 426 | bool dimensionsSpecificity[5] = { true, true, true, true, true }; |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 427 | for (unsigned int i = 0; i < static_cast<unsigned int>(tensorDimensionSize); ++i) { |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 428 | auto dim = tfLiteTensor.dims->data[i]; |
| 429 | if (dim == 0) |
| 430 | { |
| 431 | dimensionsSpecificity[i] = false; |
| 432 | } |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 433 | tensorDims[i] = static_cast<unsigned int>(dim); |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 434 | } |
Finn Williams | 6f9f990 | 2020-11-13 13:23:15 +0000 | [diff] [blame] | 435 | armnn::TensorShape tensorShape(static_cast<unsigned int>(tensorDimensionSize), |
| 436 | tensorDims.data(), |
| 437 | dimensionsSpecificity); |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 438 | ret = armnn::TensorInfo(tensorShape, type); |
| 439 | } |
| 440 | |
| 441 | auto quantizationInfo = tfLiteTensor.quantization; |
| 442 | if (quantizationInfo.type == kTfLiteAffineQuantization) |
| 443 | { |
| 444 | // get per-channel quantization parameters |
| 445 | const auto* affineQuantization = |
| 446 | reinterpret_cast<TfLiteAffineQuantization*>(tfLiteTensor.quantization.params); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 447 | if (affineQuantization->scale->size > 1) |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 448 | { |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 449 | std::vector<float> quantizationScales; |
Finn Williams | f806c4d | 2021-02-22 15:13:12 +0000 | [diff] [blame] | 450 | for (unsigned int i = 0; i < static_cast<unsigned int>(affineQuantization->scale->size); ++i) |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 451 | { |
| 452 | quantizationScales.push_back(affineQuantization->scale->data[i]); |
| 453 | } |
| 454 | ret.SetQuantizationScales(quantizationScales); |
Jan Eilers | 7612bd6 | 2021-04-06 17:29:03 +0100 | [diff] [blame] | 455 | ret.SetQuantizationDim(armnn::numeric_cast<unsigned int>(affineQuantization->quantized_dimension)); |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 456 | } |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 457 | else |
| 458 | { |
| 459 | ret.SetQuantizationScale(affineQuantization->scale->data[0]); |
| 460 | ret.SetQuantizationOffset(affineQuantization->zero_point->data[0]); |
| 461 | } |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 462 | } |
| 463 | else |
| 464 | { |
| 465 | auto quantizationParameters = tfLiteTensor.params; |
| 466 | ret.SetQuantizationScale(quantizationParameters.scale); |
| 467 | ret.SetQuantizationOffset(quantizationParameters.zero_point); |
| 468 | } |
| 469 | |
| 470 | return ret; |
| 471 | } |
| 472 | |
Sadik Armagan | 4189cc5 | 2020-11-11 18:01:48 +0000 | [diff] [blame] | 473 | armnn::ConstTensor CreateConstTensor(const TfLiteTensor* tfLiteTensor, |
| 474 | armnn::TensorInfo& tensorInfo, |
Jan Eilers | 53ef795 | 2021-06-02 12:01:25 +0100 | [diff] [blame] | 475 | armnn::Optional<armnn::PermutationVector&> |
| 476 | permutationVector = armnn::EmptyOptional(), |
Sadik Armagan | 32ca144 | 2020-11-13 17:51:56 +0000 | [diff] [blame] | 477 | void* permutationData = nullptr) |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 478 | { |
Sadik Armagan | 4189cc5 | 2020-11-11 18:01:48 +0000 | [diff] [blame] | 479 | if (tfLiteTensor->allocation_type != kTfLiteMmapRo) |
| 480 | { |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 481 | throw armnn::Exception( |
| 482 | "TfLiteArmnnDelegate: Not constant allocation type: " + std::to_string(tfLiteTensor->allocation_type)); |
Sadik Armagan | 4189cc5 | 2020-11-11 18:01:48 +0000 | [diff] [blame] | 483 | } |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 484 | |
Sadik Armagan | 32ca144 | 2020-11-13 17:51:56 +0000 | [diff] [blame] | 485 | if (permutationVector.has_value() && permutationVector.value().GetSize() > 0 && permutationData != nullptr) |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 486 | { |
Jan Eilers | 7612bd6 | 2021-04-06 17:29:03 +0100 | [diff] [blame] | 487 | // Permute tensor info |
| 488 | tensorInfo = armnnUtils::Permuted(tensorInfo, permutationVector.value()); |
| 489 | // then permute data using the shape from permuted tensor info |
| 490 | armnnUtils::Permute(tensorInfo.GetShape(), |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 491 | permutationVector.value(), |
Sadik Armagan | 4189cc5 | 2020-11-11 18:01:48 +0000 | [diff] [blame] | 492 | tfLiteTensor->data.data, |
Sadik Armagan | 32ca144 | 2020-11-13 17:51:56 +0000 | [diff] [blame] | 493 | permutationData, |
Sadik Armagan | 4189cc5 | 2020-11-11 18:01:48 +0000 | [diff] [blame] | 494 | armnn::GetDataTypeSize(tensorInfo.GetDataType())); |
Sadik Armagan | 32ca144 | 2020-11-13 17:51:56 +0000 | [diff] [blame] | 495 | |
Jan Eilers | 7612bd6 | 2021-04-06 17:29:03 +0100 | [diff] [blame] | 496 | return armnn::ConstTensor(tensorInfo, permutationData); |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 497 | } |
| 498 | else |
| 499 | { |
Sadik Armagan | 4189cc5 | 2020-11-11 18:01:48 +0000 | [diff] [blame] | 500 | return armnn::ConstTensor(tensorInfo, tfLiteTensor->data.data); |
Sadik Armagan | 6e36a64 | 2020-11-10 21:18:41 +0000 | [diff] [blame] | 501 | } |
| 502 | } |
| 503 | |
Sadik Armagan | 32ca144 | 2020-11-13 17:51:56 +0000 | [diff] [blame] | 504 | void CalcPadding(uint32_t inputSize, |
| 505 | uint32_t filterSize, |
| 506 | uint32_t stride, |
| 507 | uint32_t dilation, |
| 508 | uint32_t& paddingFront, |
| 509 | uint32_t& paddingBack, |
| 510 | TfLitePadding padding) |
| 511 | { |
| 512 | paddingFront = 0; |
| 513 | paddingBack = 0; |
| 514 | if (padding == kTfLitePaddingSame) |
| 515 | { |
| 516 | uint32_t outputSize = (inputSize + stride - 1) / stride; |
| 517 | uint32_t dilatedSize = filterSize + (dilation - 1) * (filterSize - 1); |
| 518 | uint32_t temp = (outputSize - 1) * stride + dilatedSize; |
| 519 | if (temp > inputSize) |
| 520 | { |
| 521 | paddingFront = (temp - inputSize) / 2; |
| 522 | paddingBack = (temp - inputSize) - paddingFront; |
| 523 | } |
| 524 | } |
| 525 | } |
| 526 | |
Sadik Armagan | 05e9fd2 | 2020-11-17 12:01:47 +0000 | [diff] [blame] | 527 | TfLiteStatus ConnectConstant(armnn::IConnectableLayer* layer, |
| 528 | armnn::TensorInfo& constTensorInfo, |
| 529 | TfLiteContext* tfLiteContext, |
| 530 | const TfLiteTensor& tfLiteTensor, |
| 531 | armnnDelegate::DelegateData& data, |
| 532 | unsigned int slotIndex) |
| 533 | { |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 534 | IgnoreUnused(layer); |
Sadik Armagan | 05e9fd2 | 2020-11-17 12:01:47 +0000 | [diff] [blame] | 535 | bool isSupported = false; |
| 536 | FORWARD_LAYER_SUPPORT_FUNC(__func__, |
| 537 | tfLiteContext, |
| 538 | IsConstantSupported, |
| 539 | data.m_Backends, |
| 540 | isSupported, |
| 541 | constTensorInfo); |
| 542 | if (!isSupported) |
| 543 | { |
| 544 | return kTfLiteError; |
| 545 | } |
Sadik Armagan | 32ca144 | 2020-11-13 17:51:56 +0000 | [diff] [blame] | 546 | |
Sadik Armagan | 05e9fd2 | 2020-11-17 12:01:47 +0000 | [diff] [blame] | 547 | auto constantInput = CreateConstTensor(&tfLiteTensor, |
| 548 | constTensorInfo, |
| 549 | armnn::Optional<armnn::PermutationVector&>()); |
| 550 | armnn::IConnectableLayer* constantLayer = data.m_Network->AddConstantLayer(constantInput); |
| 551 | armnn::IOutputSlot& outputSlot = constantLayer->GetOutputSlot(0); |
| 552 | outputSlot.SetTensorInfo(constTensorInfo); |
| 553 | |
| 554 | data.m_OutputSlotForNode[static_cast<unsigned long>(slotIndex)] = &outputSlot; |
| 555 | |
| 556 | return kTfLiteOk; |
| 557 | } |
Sadik Armagan | 32ca144 | 2020-11-13 17:51:56 +0000 | [diff] [blame] | 558 | |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 559 | TfLiteStatus ProcessInputs(armnn::IConnectableLayer* layer, |
| 560 | armnnDelegate::DelegateData& delegateData, |
| 561 | TfLiteContext* tfLiteContext, |
| 562 | TfLiteNode* tfLiteNode) |
| 563 | { |
| 564 | const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; |
| 565 | // Process input tensors |
| 566 | // If input tensor is a Constant tensor create a constant layer and connect it to the network |
| 567 | for (unsigned int inputIndex = 0; inputIndex < layer->GetNumInputSlots(); ++inputIndex) |
| 568 | { |
| 569 | const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[inputIndex]]; |
| 570 | if(tflite::IsConstantTensor(&tfLiteInputTensor)) |
| 571 | { |
| 572 | armnn::TensorInfo inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| 573 | bool isSupported = false; |
| 574 | FORWARD_LAYER_SUPPORT_FUNC(__func__, |
| 575 | tfLiteContext, |
| 576 | IsConstantSupported, |
| 577 | delegateData.m_Backends, |
| 578 | isSupported, |
| 579 | inputTensorInfo); |
| 580 | if (!isSupported) |
| 581 | { |
| 582 | return kTfLiteError; |
| 583 | } |
| 584 | auto constantInput = CreateConstTensor(&tfLiteInputTensor, |
| 585 | inputTensorInfo, |
| 586 | armnn::Optional<armnn::PermutationVector&>()); |
| 587 | armnn::IConnectableLayer* constantLayer = delegateData.m_Network->AddConstantLayer(constantInput); |
| 588 | armnn::IOutputSlot& outputSlot = constantLayer->GetOutputSlot(0); |
| 589 | outputSlot.SetTensorInfo(inputTensorInfo); |
| 590 | |
Sadik Armagan | 67ac7fa | 2021-05-07 14:16:13 +0100 | [diff] [blame] | 591 | delegateData.m_OutputSlotForNode[tfLiteNode->inputs->data[inputIndex]] = &outputSlot; |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 592 | } |
| 593 | |
| 594 | } |
| 595 | return kTfLiteOk; |
| 596 | } |
| 597 | |
Matthew Sloyan | d30bfb5 | 2021-04-18 16:40:00 +0100 | [diff] [blame] | 598 | unsigned int ComputeWrappedIndex(int index, unsigned int numDimensions) |
| 599 | { |
| 600 | int numDims = armnn::numeric_cast<int>(numDimensions); |
| 601 | int wrappedIndex = index < 0 ? numDims + index : index; |
| 602 | ARMNN_ASSERT(wrappedIndex >= 0); |
| 603 | ARMNN_ASSERT(wrappedIndex < numDims); |
| 604 | |
| 605 | return static_cast<unsigned int>(wrappedIndex); |
| 606 | }; |
| 607 | |
Sadik Armagan | 62483be | 2020-10-23 17:14:43 +0100 | [diff] [blame] | 608 | } // namespace anonymous |