Commit 93172bab authored by Vladislav Vinogradov's avatar Vladislav Vinogradov

added --cpu flag (run tests on CPU)

parent 00546f24
#include "perf_precomp.hpp"
#ifdef HAVE_CUDA
using namespace std;
using namespace cv;
using namespace cv::gpu;
using namespace cvtest;
using namespace testing;
void printInfo()
void printOsInfo()
{
#if defined _WIN32
# if defined _WIN64
puts("OS: Windows x64");
cout << "OS: Windows x64 \n" << endl;
# else
puts("OS: Windows x32");
cout << "OS: Windows x32 \n" << endl;
# endif
#elif defined linux
# if defined _LP64
puts("OS: Linux x64");
cout << "OS: Linux x64 \n" << endl;
# else
puts("OS: Linux x32");
cout << "OS: Linux x32 \n" << endl;
# endif
#elif defined __APPLE__
# if defined _LP64
puts("OS: Apple x64");
cout << "OS: Apple x64 \n" << endl;
# else
puts("OS: Apple x32");
cout << "OS: Apple x32 \n" << endl;
# endif
#endif
}
void printCudaInfo()
{
#ifndef HAVE_CUDA
cout << "OpenCV was built without CUDA support \n" << endl;
#else
int driver;
cudaDriverGetVersion(&driver);
printf("CUDA Driver version: %d\n", driver);
printf("CUDA Runtime version: %d\n", CUDART_VERSION);
cout << "CUDA Driver version: " << driver << '\n';
cout << "CUDA Runtime version: " << CUDART_VERSION << '\n';
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);
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();
printf("CUDA device count: %d\n\n", deviceCount);
cout << "CUDA device count: " << deviceCount << '\n';
cout << endl;
for (int i = 0; i < deviceCount; ++i)
{
DeviceInfo info(i);
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(" Multi Processor Count: %d\n", info.multiProcessorCount());
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));
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())
puts(" !!! This device is NOT compatible with current GPU module build\n");
printf("\n");
cout << "\t !!! This device is NOT compatible with current GPU module build \n";
cout << endl;
}
#endif
}
int main(int argc, char **argv)
{
CommandLineParser parser(argc, (const char**)argv,
"{ print_info_only | print_info_only | false | Print information about system and exit }"
"{ device | device | 0 | Device on which tests will be executed }");
CommandLineParser cmd(argc, argv,
"{ 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 }"
);
printInfo();
printOsInfo();
printCudaInfo();
if (parser.get<bool>("print_info_only"))
if (cmd.get<bool>("print_info_only"))
return 0;
int device = parser.get<int>("device");
int device = cmd.get<int>("device");
bool cpu = cmd.get<bool>("cpu");
#ifndef HAVE_CUDA
cpu = true;
#endif
if (device < 0 || device >= getCudaEnabledDeviceCount())
if (cpu)
{
cerr << "Incorrect device number - " << device << endl;
return -1;
}
runOnGpu = false;
DeviceInfo info(device);
if (!info.isCompatible())
{
cerr << "Device " << device << " [" << info.name() << "] is NOT compatible with current GPU module build" << endl;
return -1;
cout << "Run tests on CPU \n" << endl;
}
else
{
runOnGpu = true;
std::cout << "Run tests on device " << device << '\n' << std::endl;
if (device < 0 || device >= getCudaEnabledDeviceCount())
{
cerr << "Incorrect device index - " << device << endl;
return -1;
}
setDevice(device);
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;
}
testing::InitGoogleTest(&argc, argv);
perf::TestBase::Init(argc, argv);
return RUN_ALL_TESTS();
return 0;
}
#else
int main()
{
printf("OpenCV was built without CUDA support\n");
return 0;
}
#endif
......@@ -4,6 +4,8 @@ using namespace std;
using namespace cv;
using namespace cv::gpu;
bool runOnGpu = true;
void fillRandom(Mat& m, double a, double b)
{
RNG rng(123456789);
......
......@@ -6,6 +6,8 @@
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/ts/ts_perf.hpp"
extern bool runOnGpu;
void fillRandom(cv::Mat& m, double a = 0.0, double b = 255.0);
cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
......
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