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//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <OpaqueDelegateUtils.hpp>
namespace armnnOpaqueDelegate
{
TfLiteStatus ValidatePreluOperator(DelegateData& delegateData,
TfLiteOpaqueContext* 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_OPAQUE_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,
TfLiteOpaqueContext* tfLiteContext,
TfLiteOpaqueNode* tfLiteNode,
int nodeIndex,
int32_t operatorCode)
{
TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
// Gather input indices and use to get input tensor.
int numInputs = 0;
const int* inputTensors;
if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk)
{
TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
tfLiteContext,
"TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ",
nodeIndex);
return kTfLiteError;
}
const TfLiteOpaqueTensor* tfLiteInputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]);
if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex))
{
return kTfLiteError;
}
const TfLiteOpaqueTensor* tfLiteAlphaTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]);
if (!IsValid(tfLiteContext, tfLiteAlphaTensor, operatorCode, nodeIndex))
{
return kTfLiteError;
}
// Gather output indices and use to get output tensors.
int numOutputs = 0;
const int* outputTensors;
if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numOutputs) != kTfLiteOk)
{
TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
tfLiteContext,
"TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ",
nodeIndex);
return kTfLiteError;
}
const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]);
if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex))
{
return kTfLiteError;
}
const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor);
const armnn::TensorInfo& alphaTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteAlphaTensor);
const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true);
if (!delegateData.m_Network)
{
return ValidatePreluOperator(delegateData,
tfLiteContext,
inputTensorInfo,
alphaTensorInfo,
outputTensorInfo);
}
auto layerName = GetName(armnn::LayerType::Prelu, nodeIndex);
armnn::IConnectableLayer* preluLayer = delegateData.m_Network->AddPreluLayer(layerName.c_str());
ARMNN_ASSERT(preluLayer != nullptr);
bool isConstantAlpha = IsConstantTensor(tfLiteAlphaTensor);
// Add constant layer for constant alpha
if (isConstantAlpha)
{
auto constAlphaTensor = armnn::ConstTensor(alphaTensorInfo, TfLiteOpaqueTensorData(tfLiteAlphaTensor));
auto alphaName = GetName(armnn::LayerType::Constant, nodeIndex, "Alpha");
armnn::IConnectableLayer* constLayer = delegateData.m_Network->AddConstantLayer(constAlphaTensor,
alphaName.c_str());
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, tfLiteContext, tfLiteNode, delegateData);
}
} // namespace armnnOpaqueDelegate
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