opencv/modules/gpu/test/main.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
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// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Redistribution and use in source and binary forms, with or without modification,
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// this list of conditions and the following disclaimer.
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#include "test_precomp.hpp"
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#ifdef HAVE_CUDA
using namespace std;
using namespace cv;
using namespace cv::gpu;
using namespace cvtest;
using namespace testing;
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void printOsInfo()
{
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#if defined _WIN32
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# if defined _WIN64
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cout << "OS: Windows x64 \n" << endl;
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# else
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cout << "OS: Windows x32 \n" << endl;
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# endif
#elif defined linux
# if defined _LP64
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cout << "OS: Linux x64 \n" << endl;
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# else
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cout << "OS: Linux x32 \n" << endl;
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# endif
#elif defined __APPLE__
# if defined _LP64
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cout << "OS: Apple x64 \n" << endl;
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# else
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cout << "OS: Apple x32 \n" << endl;
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# endif
#endif
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}
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void printCudaInfo()
{
#ifndef HAVE_CUDA
cout << "OpenCV was built without CUDA support \n" << endl;
#else
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int driver;
cudaDriverGetVersion(&driver);
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cout << "CUDA Driver version: " << driver << '\n';
cout << "CUDA Runtime version: " << CUDART_VERSION << '\n';
cout << endl;
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cout << "GPU module was compiled for the following GPU archs:" << endl;
cout << " BIN: " << CUDA_ARCH_BIN << '\n';
cout << " PTX: " << CUDA_ARCH_PTX << '\n';
cout << endl;
int deviceCount = getCudaEnabledDeviceCount();
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cout << "CUDA device count: " << deviceCount << '\n';
cout << endl;
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for (int i = 0; i < deviceCount; ++i)
{
DeviceInfo info(i);
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cout << "Device [" << i << "] \n";
cout << "\t Name: " << info.name() << '\n';
cout << "\t Compute capability: " << info.majorVersion() << '.' << info.minorVersion()<< '\n';
cout << "\t Multi Processor Count: " << info.multiProcessorCount() << '\n';
cout << "\t Total memory: " << static_cast<int>(static_cast<int>(info.totalMemory() / 1024.0) / 1024.0) << " Mb \n";
cout << "\t Free memory: " << static_cast<int>(static_cast<int>(info.freeMemory() / 1024.0) / 1024.0) << " Mb \n";
if (!info.isCompatible())
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cout << "\t !!! This device is NOT compatible with current GPU module build \n";
cout << endl;
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}
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#endif
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}
int main(int argc, char** argv)
{
try
{
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CommandLineParser cmd(argc, (const char**)argv,
"{ print_info_only | print_info_only | false | Print information about system and exit }"
"{ device | device | -1 | Device on which tests will be executed (-1 means all devices) }"
"{ nvtest_output_level | nvtest_output_level | compact | NVidia test verbosity level }"
);
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printOsInfo();
printCudaInfo();
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if (cmd.get<bool>("print_info_only"))
return 0;
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int device = cmd.get<int>("device");
if (device < 0)
{
DeviceManager::instance().loadAll();
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cout << "Run tests on all supported devices \n" << endl;
}
else
{
DeviceManager::instance().load(device);
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DeviceInfo info(device);
cout << "Run tests on device " << device << " [" << info.name() << "] \n" << endl;
}
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string outputLevel = cmd.get<string>("nvtest_output_level");
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if (outputLevel == "none")
nvidiaTestOutputLevel = OutputLevelNone;
else if (outputLevel == "compact")
nvidiaTestOutputLevel = OutputLevelCompact;
else if (outputLevel == "full")
nvidiaTestOutputLevel = OutputLevelFull;
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TS::ptr()->init("gpu");
InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
}
catch (const exception& e)
{
cerr << e.what() << endl;
return -1;
}
catch (...)
{
cerr << "Unknown error" << endl;
return -1;
}
return 0;
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}
#else // HAVE_CUDA
int main()
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{
printf("OpenCV was built without CUDA support\n");
return 0;
}
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#endif // HAVE_CUDA