opencv/modules/gpu/perf/main.cpp

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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace cv::gpu;
using namespace cvtest;
using namespace testing;
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void printOsInfo()
{
#if defined _WIN32
# if defined _WIN64
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cout << "OS: Windows x64 \n" << endl;
# else
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cout << "OS: Windows x32 \n" << endl;
# endif
#elif defined linux
# if defined _LP64
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cout << "OS: Linux x64 \n" << endl;
# else
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cout << "OS: Linux x32 \n" << endl;
# endif
#elif defined __APPLE__
# if defined _LP64
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cout << "OS: Apple x64 \n" << endl;
# else
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cout << "OS: Apple x32 \n" << endl;
# 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
int driver;
cudaDriverGetVersion(&driver);
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cout << "CUDA Driver version: " << driver << '\n';
cout << "CUDA Runtime version: " << CUDART_VERSION << '\n';
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cout << endl;
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;
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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#endif
}
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int main(int argc, char** argv)
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{
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CommandLineParser cmd(argc, (const char**) argv,
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"{ print_info_only | print_info_only | false | Print information about system and exit }"
"{ device | device | 0 | Device on which tests will be executed }"
"{ cpu | cpu | false | Run tests on cpu }"
);
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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");
bool cpu = cmd.get<bool>("cpu");
#ifndef HAVE_CUDA
cpu = true;
#endif
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if (cpu)
{
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runOnGpu = false;
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cout << "Run tests on CPU \n" << endl;
}
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else
{
runOnGpu = true;
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if (device < 0 || device >= getCudaEnabledDeviceCount())
{
cerr << "Incorrect device index - " << device << endl;
return -1;
}
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DeviceInfo info(device);
if (!info.isCompatible())
{
cerr << "Device " << device << " [" << info.name() << "] is NOT compatible with current GPU module build" << endl;
return -1;
}
setDevice(device);
cout << "Run tests on device " << device << " [" << info.name() << "] \n" << endl;
}
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InitGoogleTest(&argc, argv);
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perf::TestBase::Init(argc, argv);
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return RUN_ALL_TESTS();
}