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//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <OpaqueDelegateUtils.hpp>
namespace armnnOpaqueDelegate
{
std::string GetLayerName(armnn::ActivationFunction activationFunction)
{
std::string layerName = "ACTIVATION";
switch (activationFunction)
{
case armnn::ActivationFunction::Abs:
layerName += " ABS";
break;
case armnn::ActivationFunction::BoundedReLu:
layerName += " BOUNDED_RELU";
break;
case armnn::ActivationFunction::Elu:
layerName += " ELU";
break;
case armnn::ActivationFunction::HardSwish:
layerName += " HARD_SWISH";
break;
case armnn::ActivationFunction::LeakyReLu:
layerName += " LEAKY_RELU";
break;
case armnn::ActivationFunction::Linear:
layerName += " LINEAR";
break;
case armnn::ActivationFunction::ReLu:
layerName += " RELU";
break;
case armnn::ActivationFunction::Sigmoid:
layerName += " SIGMOID";
break;
case armnn::ActivationFunction::SoftReLu:
layerName += " SOFT_RELU";
break;
case armnn::ActivationFunction::Square:
layerName += " SQUARE";
break;
case armnn::ActivationFunction::Sqrt:
layerName += " SQRT";
break;
case armnn::ActivationFunction::TanH:
layerName += " TANH";
break;
default:
layerName += " UNKNOWN";
}
return layerName;
}
TfLiteStatus ValidateActivationOperator(DelegateData& delegateData,
TfLiteOpaqueContext* tfLiteContext,
const armnn::TensorInfo& inputInfo,
const armnn::TensorInfo& outputInfo,
armnn::ActivationDescriptor& activationDesc)
{
bool isSupported = false;
auto validateFunc = [&](const armnn::TensorInfo& outputInfo, bool& isSupported, std::string layerName)
{
FORWARD_LAYER_OPAQUE_SUPPORT_FUNC(layerName.c_str(),
tfLiteContext,
IsActivationSupported,
delegateData.m_Backends,
isSupported,
armnn::BackendId(),
inputInfo,
outputInfo,
activationDesc);
};
validateFunc(outputInfo, isSupported, GetLayerName(activationDesc.m_Function));
return isSupported ? kTfLiteOk : kTfLiteError;
}
TfLiteStatus VisitActivationOperator(DelegateData& delegateData,
TfLiteOpaqueContext* tfLiteContext,
TfLiteOpaqueNode* tfLiteNode,
int nodeIndex,
int32_t operatorCode)
{
TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, 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;
}
// 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& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(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, tfLiteContext, tfLiteNode, delegateData);
}
} // namespace armnnDelegate
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