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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::LogicalBinaryOperation logicalBinaryOperation)
{
std::string layerName = "LOGICAL_BINARY";
switch (logicalBinaryOperation)
{
case armnn::LogicalBinaryOperation::LogicalAnd:
layerName += " LOGICAL_AND";
break;
case armnn::LogicalBinaryOperation::LogicalOr:
layerName += " LOGICAL_OR";
break;
default:
layerName += " UNKNOWN";
}
return layerName;
}
TfLiteStatus VisitLogicalBinaryOperator(DelegateData& delegateData,
TfLiteOpaqueContext* tfLiteContext,
TfLiteOpaqueNode* tfLiteNode,
int nodeIndex,
int32_t logicalOperatorCode,
armnn::LogicalBinaryOperation binaryOperation)
{
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;
}
// Use input indices to get input tensors.
const TfLiteOpaqueTensor* tfLiteInputTensor0 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]);
if (!IsValid(tfLiteContext, tfLiteInputTensor0, logicalOperatorCode, nodeIndex))
{
return kTfLiteError;
}
const TfLiteOpaqueTensor* tfLiteInputTensor1 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]);
if (!IsValid(tfLiteContext, tfLiteInputTensor1, logicalOperatorCode, 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;
}
// Use output indices to get output tensor.
const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]);
if (!IsValid(tfLiteContext, tfLiteOutputTensor, logicalOperatorCode, nodeIndex))
{
return kTfLiteError;
}
armnn::TensorInfo inputTensorInfo0 = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor0);
armnn::TensorInfo inputTensorInfo1 = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor1);
const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true);
// Check if we need to expand the dims of any input tensor infos.
// This is required for a few of the backends.
if(inputTensorInfo0.GetNumDimensions() != inputTensorInfo1.GetNumDimensions())
{
ExpandTensorRankToEqual(inputTensorInfo0, inputTensorInfo1);
}
// Setup descriptor and assign operation
armnn::LogicalBinaryDescriptor desc;
desc.m_Operation = binaryOperation;
// Check if supported
bool isSupported = false;
armnn::BackendId setBackend;
auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported, std::string layerName)
{
FORWARD_LAYER_OPAQUE_SUPPORT_FUNC(layerName.c_str(),
tfLiteContext,
IsLogicalBinarySupported,
delegateData.m_Backends,
isSupported,
setBackend,
inputTensorInfo0,
inputTensorInfo1,
outputTensorInfo,
desc);
};
if (!delegateData.m_Network)
{
validateFunc(outputTensorInfo, isSupported, GetLayerName(binaryOperation));
return isSupported ? kTfLiteOk : kTfLiteError;
}
armnn::IConnectableLayer* logicalBinaryLayer = delegateData.m_Network->AddLogicalBinaryLayer(desc);
logicalBinaryLayer->SetBackendId(setBackend);
ARMNN_ASSERT(logicalBinaryLayer != nullptr);
armnn::IOutputSlot& outputSlot = logicalBinaryLayer->GetOutputSlot(0);
outputSlot.SetTensorInfo(outputTensorInfo);
auto inputsTensorsProcess = ProcessInputs(logicalBinaryLayer,
delegateData,
tfLiteContext,
tfLiteNode);
if (inputsTensorsProcess == kTfLiteError)
{
return inputsTensorsProcess;
}
return Connect(logicalBinaryLayer, tfLiteContext, tfLiteNode, delegateData);
}
} // namespace armnnOpaqueDelegate
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