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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnn/BackendId.hpp>
#include <armnn/Tensor.hpp>
/// Holds all parameters necessary to execute a network
/// Check ExecuteNetworkProgramOptions.cpp for a description of each parameter
struct ExecuteNetworkParams
{
using TensorShapePtr = std::unique_ptr<armnn::TensorShape>;
std::string m_CachedNetworkFilePath;
std::vector<armnn::BackendId> m_ComputeDevices;
bool m_DequantizeOutput;
std::string m_DynamicBackendsPath;
bool m_EnableBf16TurboMode;
bool m_EnableFastMath = false;
bool m_EnableFp16TurboMode;
bool m_EnableLayerDetails = false;
bool m_EnableProfiling;
bool m_GenerateTensorData;
bool m_InferOutputShape = false;
bool m_EnableDelegate = false;
std::vector<std::string> m_InputNames;
std::vector<std::string> m_InputTensorDataFilePaths;
std::vector<TensorShapePtr> m_InputTensorShapes;
std::vector<std::string> m_InputTypes;
bool m_IsModelBinary;
size_t m_Iterations;
std::string m_ModelFormat;
std::string m_ModelPath;
unsigned int m_NumberOfThreads;
std::vector<std::string> m_OutputNames;
std::vector<std::string> m_OutputTensorFiles;
std::vector<std::string> m_OutputTypes;
bool m_ParseUnsupported = false;
bool m_PrintIntermediate;
bool m_QuantizeInput;
bool m_SaveCachedNetwork;
size_t m_SubgraphId;
double m_ThresholdTime;
int m_TuningLevel;
std::string m_TuningPath;
std::string m_MLGOTuningFilePath;
// Ensures that the parameters for ExecuteNetwork fit together
void ValidateParams();
};
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