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//
// Copyright © 2020 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& outInfo, bool& isSupported)
{
FORWARD_LAYER_SUPPORT_FUNC(__func__,
tfLiteContext,
IsActivationSupported,
delegateData.m_Backends,
isSupported,
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 (IsDynamicTensor(tfLiteInputTensor))
{
TF_LITE_MAYBE_KERNEL_LOG(
tfLiteContext,
"TfLiteArmnnDelegate: Dynamic input tensors are not supported in node #%d: ",
nodeIndex);
return kTfLiteError;
}
const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
if (IsDynamicTensor(tfLiteOutputTensor))
{
TF_LITE_MAYBE_KERNEL_LOG(
tfLiteContext,
"TfLiteArmnnDelegate: Dynamic output tensors are not supported in node #%d: ",
nodeIndex);
return kTfLiteError;
}
const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor);
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;
}
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);
// Connect
return Connect(activationLayer, tfLiteNode, delegateData);
}
} // namespace armnnDelegate
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