opencv/modules/ocl/perf/main.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other oclMaterials provided with the distribution.
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// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
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//M*/
#include "perf_precomp.hpp"
const char * impls[] =
{
IMPL_OCL,
IMPL_PLAIN,
#ifdef HAVE_OPENCV_GPU
IMPL_GPU
#endif
};
int main(int argc, char ** argv)
{
const char * keys =
"{ h help | false | print help message }"
"{ t type | gpu | set device type:cpu or gpu}"
"{ p platform | 0 | set platform id }"
"{ d device | 0 | set device id }";
CommandLineParser cmd(argc, argv, keys);
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if (cmd.has("help"))
{
cout << "Available options besides google test option:" << endl;
cmd.printMessage();
return 0;
}
string type = cmd.get<string>("type");
unsigned int pid = cmd.get<unsigned int>("platform");
int device = cmd.get<int>("device");
int flag = type == "cpu" ? cv::ocl::CVCL_DEVICE_TYPE_CPU :
cv::ocl::CVCL_DEVICE_TYPE_GPU;
std::vector<cv::ocl::Info> oclinfo;
int devnums = cv::ocl::getDevice(oclinfo, flag);
if (devnums <= device || device < 0)
{
std::cout << "device invalid\n";
return -1;
}
if (pid >= oclinfo.size())
{
std::cout << "platform invalid\n";
return -1;
}
cv::ocl::setDevice(oclinfo[pid], device);
cv::ocl::setBinaryDiskCache(cv::ocl::CACHE_UPDATE);
CV_PERF_TEST_MAIN_INTERNALS(ocl, impls)
}