| // |
| // Copyright © 2022-2023 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 ValidateActivationOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| const armnn::TensorInfo& inputInfo, |
| const armnn::TensorInfo& outputInfo, |
| armnn::ActivationDescriptor& activationDesc) |
| { |
| bool isSupported = false; |
| auto validateFunc = [&](const armnn::TensorInfo& outputInfo, bool& isSupported) |
| { |
| FORWARD_LAYER_SUPPORT_FUNC("ACTIVATION", |
| tfLiteContext, |
| IsActivationSupported, |
| delegateData.m_Backends, |
| isSupported, |
| armnn::BackendId(), |
| inputInfo, |
| outputInfo, |
| activationDesc); |
| }; |
| |
| validateFunc(outputInfo, isSupported); |
| return isSupported ? kTfLiteOk : kTfLiteError; |
| } |
| |
| TfLiteStatus VisitActivationOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| TfLiteNode* tfLiteNode, |
| int nodeIndex, |
| int32_t operatorCode) |
| { |
| TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, 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& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true); |
| |
| armnn::ActivationDescriptor activationDesc; |
| switch(operatorCode) |
| { |
| case kTfLiteBuiltinRelu: |
| { |
| activationDesc.m_Function = armnn::ActivationFunction::ReLu; |
| break; |
| } |
| case kTfLiteBuiltinRelu6: |
| { |
| activationDesc.m_Function = armnn::ActivationFunction::BoundedReLu; |
| activationDesc.m_A = 6.0f; |
| break; |
| } |
| case kTfLiteBuiltinLogistic: |
| { |
| activationDesc.m_Function = armnn::ActivationFunction::Sigmoid; |
| break; |
| } |
| case kTfLiteBuiltinTanh: |
| { |
| activationDesc.m_Function = armnn::ActivationFunction::TanH; |
| activationDesc.m_A = 1.0f; |
| activationDesc.m_B = 1.0f; |
| break; |
| } |
| case kTfLiteBuiltinElu: |
| { |
| activationDesc.m_Function = armnn::ActivationFunction::Elu; |
| activationDesc.m_A = 1.0f; |
| break; |
| } |
| case kTfLiteBuiltinHardSwish: |
| { |
| activationDesc.m_Function = armnn::ActivationFunction::HardSwish; |
| break; |
| } |
| default: |
| { |
| return kTfLiteError; |
| } |
| } |
| if (!delegateData.m_Network) |
| { |
| return ValidateActivationOperator(delegateData, |
| tfLiteContext, |
| inputTensorInfo, |
| outputTensorInfo, |
| activationDesc); |
| } |
| armnn::IConnectableLayer* activationLayer = delegateData.m_Network->AddActivationLayer(activationDesc); |
| ARMNN_ASSERT(activationLayer != nullptr); |
| |
| armnn::IOutputSlot& outputSlot = activationLayer->GetOutputSlot(0); |
| outputSlot.SetTensorInfo(outputTensorInfo); |
| |
| // try to connect the Constant Inputs if there are any |
| if(ProcessInputs(activationLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk ) |
| { |
| return kTfLiteError; |
| } |
| |
| // Connect |
| return Connect(activationLayer, tfLiteNode, delegateData); |
| } |
| |
| } // namespace armnnDelegate |