| // |
| // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include "DelegateUtils.hpp" |
| |
| #include <tensorflow/lite/builtin_ops.h> |
| #include <tensorflow/lite/c/builtin_op_data.h> |
| #include <tensorflow/lite/c/common.h> |
| #include <tensorflow/lite/minimal_logging.h> |
| |
| namespace armnnDelegate |
| { |
| |
| TfLiteStatus ValidatePreluOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| const armnn::TensorInfo& inputInfo, |
| const armnn::TensorInfo& alphaInfo, |
| const armnn::TensorInfo& outputInfo) |
| { |
| bool isSupported = false; |
| auto validateFunc = [&](const armnn::TensorInfo& outputInfo, bool& isSupported) |
| { |
| FORWARD_LAYER_SUPPORT_FUNC("PRELU", |
| tfLiteContext, |
| IsPreluSupported, |
| delegateData.m_Backends, |
| isSupported, |
| armnn::BackendId(), |
| inputInfo, |
| alphaInfo, |
| outputInfo); |
| }; |
| |
| validateFunc(outputInfo, isSupported); |
| return isSupported ? kTfLiteOk : kTfLiteError; |
| } |
| |
| TfLiteStatus VisitPreluOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| TfLiteNode* tfLiteNode, |
| int nodeIndex, |
| int32_t operatorCode) |
| { |
| TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| |
| const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; |
| |
| const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; |
| if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const TfLiteTensor& tfLiteAlphaTensor = tfLiteTensors[tfLiteNode->inputs->data[1]]; |
| if (!IsValid(tfLiteContext, tfLiteAlphaTensor, operatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| const armnn::TensorInfo& alphaTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteAlphaTensor); |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true); |
| |
| if (!delegateData.m_Network) |
| { |
| return ValidatePreluOperator(delegateData, |
| tfLiteContext, |
| inputTensorInfo, |
| alphaTensorInfo, |
| outputTensorInfo); |
| } |
| |
| armnn::IConnectableLayer* preluLayer = delegateData.m_Network->AddPreluLayer(); |
| ARMNN_ASSERT(preluLayer != nullptr); |
| |
| bool isConstantAlpha = tflite::IsConstantTensor(&tfLiteAlphaTensor); |
| |
| // Add constant layer for constant alpha |
| if (isConstantAlpha) |
| { |
| auto constAlphaTensor = armnn::ConstTensor(alphaTensorInfo, tfLiteAlphaTensor.data.data); |
| |
| armnn::IConnectableLayer* constLayer = delegateData.m_Network->AddConstantLayer(constAlphaTensor); |
| ARMNN_ASSERT(constLayer != nullptr); |
| |
| constLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo); |
| constLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(1)); |
| } |
| |
| armnn::IOutputSlot& outputSlot = preluLayer->GetOutputSlot(0); |
| outputSlot.SetTensorInfo(outputTensorInfo); |
| |
| // Connect |
| return Connect(preluLayer, tfLiteNode, delegateData); |
| } |
| |
| } // namespace armnnDelegate |