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/*
* SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TENSORRT_ARGS_PARSER_H
#define TENSORRT_ARGS_PARSER_H
#ifdef _MSC_VER
#include "getOptWin.h"
#else
#include <getopt.h>
#endif
#include <iostream>
#include <string>
#include <vector>
namespace samplesCommon
{
//!
//! \brief The SampleParams structure groups the basic parameters required by
//! all sample networks.
//!
struct SampleParams
{
int32_t batchSize{1}; //!< Number of inputs in a batch
int32_t dlaCore{-1}; //!< Specify the DLA core to run network on.
bool int8{false}; //!< Allow runnning the network in Int8 mode.
bool fp16{false}; //!< Allow running the network in FP16 mode.
std::vector<std::string> dataDirs; //!< Directory paths where sample data files are stored
std::vector<std::string> inputTensorNames;
std::vector<std::string> outputTensorNames;
};
//!
//! \brief The CaffeSampleParams structure groups the additional parameters required by
//! networks that use caffe
//!
struct CaffeSampleParams : public SampleParams
{
std::string prototxtFileName; //!< Filename of prototxt design file of a network
std::string weightsFileName; //!< Filename of trained weights file of a network
std::string meanFileName; //!< Filename of mean file of a network
};
//!
//! \brief The OnnxSampleParams structure groups the additional parameters required by
//! networks that use ONNX
//!
struct OnnxSampleParams : public SampleParams
{
std::string onnxFileName; //!< Filename of ONNX file of a network
};
//!
//! \brief The UffSampleParams structure groups the additional parameters required by
//! networks that use Uff
//!
struct UffSampleParams : public SampleParams
{
std::string uffFileName; //!< Filename of uff file of a network
};
//!
//! /brief Struct to maintain command-line arguments.
//!
struct Args
{
bool runInInt8{false};
bool runInFp16{false};
bool help{false};
int32_t useDLACore{-1};
int32_t batch{1};
std::vector<std::string> dataDirs;
std::string saveEngine;
std::string loadEngine;
bool useILoop{false};
};
//!
//! \brief Populates the Args struct with the provided command-line parameters.
//!
//! \throw invalid_argument if any of the arguments are not valid
//!
//! \return boolean If return value is true, execution can continue, otherwise program should exit
//!
inline bool parseArgs(Args& args, int32_t argc, char* argv[])
{
while (1)
{
int32_t arg;
static struct option long_options[] = {{"help", no_argument, 0, 'h'}, {"datadir", required_argument, 0, 'd'},
{"int8", no_argument, 0, 'i'}, {"fp16", no_argument, 0, 'f'}, {"useILoop", no_argument, 0, 'l'},
{"saveEngine", required_argument, 0, 's'}, {"loadEngine", required_argument, 0, 'o'},
{"useDLACore", required_argument, 0, 'u'}, {"batch", required_argument, 0, 'b'}, {nullptr, 0, nullptr, 0}};
int32_t option_index = 0;
arg = getopt_long(argc, argv, "hd:iu", long_options, &option_index);
if (arg == -1)
{
break;
}
switch (arg)
{
case 'h': args.help = true; return true;
case 'd':
if (optarg)
{
args.dataDirs.push_back(optarg);
}
else
{
std::cerr << "ERROR: --datadir requires option argument" << std::endl;
return false;
}
break;
case 's':
if (optarg)
{
args.saveEngine = optarg;
}
break;
case 'o':
if (optarg)
{
args.loadEngine = optarg;
}
break;
case 'i': args.runInInt8 = true; break;
case 'f': args.runInFp16 = true; break;
case 'l': args.useILoop = true; break;
case 'u':
if (optarg)
{
args.useDLACore = std::stoi(optarg);
}
break;
case 'b':
if (optarg)
{
args.batch = std::stoi(optarg);
}
break;
default: return false;
}
}
return true;
}
} // namespace samplesCommon
#endif // TENSORRT_ARGS_PARSER_H