opencv/modules/gpu/test/test_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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, 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,
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//M*/
#include "test_precomp.hpp"
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#ifdef HAVE_CUDA
#include <cuda_runtime_api.h>
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using namespace std;
using namespace cv;
using namespace cv::gpu;
using namespace cvtest;
using namespace testing;
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void print_info()
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{
printf("\n");
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#if defined _WIN32
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# if defined _WIN64
puts("OS: Windows 64");
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# else
puts("OS: Windows 32");
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# endif
#elif defined linux
# if defined _LP64
puts("OS: Linux 64");
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# else
puts("OS: Linux 32");
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# endif
#elif defined __APPLE__
# if defined _LP64
puts("OS: Apple 64");
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# else
puts("OS: Apple 32");
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# endif
#endif
int deviceCount = getCudaEnabledDeviceCount();
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int driver;
cudaDriverGetVersion(&driver);
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printf("CUDA Driver version: %d\n", driver);
printf("CUDA Runtime version: %d\n", CUDART_VERSION);
printf("CUDA device count: %d\n\n", deviceCount);
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for (int i = 0; i < deviceCount; ++i)
{
DeviceInfo info(i);
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printf("Device %d:\n", i);
printf(" Name: %s\n", info.name().c_str());
printf(" Compute capability version: %d.%d\n", info.majorVersion(), info.minorVersion());
printf(" Total memory: %d Mb\n", static_cast<int>(static_cast<int>(info.totalMemory() / 1024.0) / 1024.0));
printf(" Free memory: %d Mb\n", static_cast<int>(static_cast<int>(info.freeMemory() / 1024.0) / 1024.0));
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if (info.isCompatible())
puts(" This device is compatible with current GPU module build\n");
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else
puts(" This device is NOT compatible with current GPU module build\n");
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}
puts("GPU module was compiled for the following GPU archs:");
printf(" BIN: %s\n", CUDA_ARCH_BIN);
printf(" PTX: %s\n\n", CUDA_ARCH_PTX);
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}
enum OutputLevel
{
OutputLevelNone,
OutputLevelCompact,
OutputLevelFull
};
extern OutputLevel nvidiaTestOutputLevel;
int main(int argc, char** argv)
{
TS::ptr()->init("gpu");
InitGoogleTest(&argc, argv);
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const char* keys ="{ nvtest_output_level | nvtest_output_level | none | NVidia test verbosity level }";
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CommandLineParser parser(argc, (const char**)argv, keys);
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string outputLevel = parser.get<string>("nvtest_output_level", "none");
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if (outputLevel == "none")
nvidiaTestOutputLevel = OutputLevelNone;
else if (outputLevel == "compact")
nvidiaTestOutputLevel = OutputLevelCompact;
else if (outputLevel == "full")
nvidiaTestOutputLevel = OutputLevelFull;
print_info();
return RUN_ALL_TESTS();
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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