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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 ValidateSoftmaxOperator(DelegateData& delegateData,
TfLiteOpaqueContext* tfLiteContext,
const armnn::TensorInfo& inputInfo,
const armnn::TensorInfo& outputTensorInfo,
const armnn::SoftmaxDescriptor& descriptor)
{
bool isSupported = false;
FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("SOFTMAX",
tfLiteContext,
IsSoftmaxSupported,
delegateData.m_Backends,
isSupported,
armnn::BackendId(),
inputInfo,
outputTensorInfo,
descriptor);
return isSupported ? kTfLiteOk : kTfLiteError;
}
TfLiteStatus ValidateLogSoftmaxOperator(DelegateData& delegateData,
TfLiteOpaqueContext* tfLiteContext,
const armnn::TensorInfo& inputInfo,
const armnn::TensorInfo& outputTensorInfo,
const armnn::LogSoftmaxDescriptor& descriptor)
{
bool isSupported = false;
FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("LOG_SOFTMAX",
tfLiteContext,
IsLogSoftmaxSupported,
delegateData.m_Backends,
isSupported,
armnn::BackendId(),
inputInfo,
outputTensorInfo,
descriptor);
return isSupported ? kTfLiteOk : kTfLiteError;
}
TfLiteStatus VisitSoftmaxOperator(DelegateData& delegateData,
TfLiteOpaqueContext* tfLiteContext,
TfLiteOpaqueNode* tfLiteNode,
int nodeIndex,
int32_t tfliteSoftmaxOperatorCode)
{
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.
const int* inputTensors;
int numInputs;
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, tfliteSoftmaxOperatorCode, nodeIndex))
{
return kTfLiteError;
}
// Gather output indices and use to get output tensor.
const int* outputTensors;
int numOutputs = 0;
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, tfliteSoftmaxOperatorCode, nodeIndex))
{
return kTfLiteError;
}
const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor);
const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true);
if (!delegateData.m_Network)
{
switch(tfliteSoftmaxOperatorCode)
{
case kTfLiteBuiltinSoftmax:
{
armnn::SoftmaxDescriptor descriptor;
auto* nodeParams = reinterpret_cast<TfLiteSoftmaxParams*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode));
descriptor.m_Beta = nodeParams->beta;
return ValidateSoftmaxOperator(delegateData,
tfLiteContext,
inputTensorInfo,
outputTensorInfo,
descriptor);
}
case kTfLiteBuiltinLogSoftmax:
{
armnn::LogSoftmaxDescriptor descriptor;
return ValidateLogSoftmaxOperator(delegateData,
tfLiteContext,
inputTensorInfo,
outputTensorInfo,
descriptor);
}
default:
return kTfLiteError;
}
}
armnn::IConnectableLayer* softmaxLayer = nullptr;
auto layerName = GetName(armnn::LayerType::Softmax, nodeIndex);
switch(tfliteSoftmaxOperatorCode)
{
case kTfLiteBuiltinSoftmax:
{
armnn::SoftmaxDescriptor descriptor;
auto* nodeParameters = reinterpret_cast<TfLiteSoftmaxParams*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode));
descriptor.m_Beta = nodeParameters->beta;
softmaxLayer = delegateData.m_Network->AddSoftmaxLayer(descriptor, layerName.c_str());
break;
}
case kTfLiteBuiltinLogSoftmax:
{
armnn::LogSoftmaxDescriptor descriptor;
softmaxLayer = delegateData.m_Network->AddLogSoftmaxLayer(descriptor, layerName.c_str());
break;
}
default:
return kTfLiteError;
}
ARMNN_ASSERT(softmaxLayer != nullptr);
armnn::IOutputSlot& outputSlot = softmaxLayer->GetOutputSlot(0);
outputSlot.SetTensorInfo(outputTensorInfo);
// try to connect the Constant Inputs if there are any
if (ProcessInputs(softmaxLayer, delegateData, tfLiteContext, tfLiteNode, nodeIndex) != kTfLiteOk)
{
return kTfLiteError;
}
// Connect
return Connect(softmaxLayer, tfLiteContext, tfLiteNode, delegateData);
}
} // namespace armnnOpaqueDelegate
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