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Open Source Computer Vision Library
https://opencv.org/
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125 lines
3.4 KiB
125 lines
3.4 KiB
#include "perf_precomp.hpp" |
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using namespace std; |
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using namespace cv; |
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using namespace cv::gpu; |
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using namespace cvtest; |
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using namespace testing; |
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void printOsInfo() |
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{ |
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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 |
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#elif defined linux |
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# 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 |
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#elif defined __APPLE__ |
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# 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 |
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#endif |
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} |
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void printCudaInfo() |
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{ |
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#ifndef HAVE_CUDA |
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cout << "OpenCV was built without CUDA support \n" << endl; |
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#else |
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int driver; |
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cudaDriverGetVersion(&driver); |
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cout << "CUDA Driver version: " << driver << '\n'; |
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cout << "CUDA Runtime version: " << CUDART_VERSION << '\n'; |
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cout << endl; |
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cout << "GPU module was compiled for the following GPU archs:" << endl; |
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cout << " BIN: " << CUDA_ARCH_BIN << '\n'; |
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cout << " PTX: " << CUDA_ARCH_PTX << '\n'; |
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cout << endl; |
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int deviceCount = getCudaEnabledDeviceCount(); |
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cout << "CUDA device count: " << deviceCount << '\n'; |
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cout << endl; |
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for (int i = 0; i < deviceCount; ++i) |
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{ |
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DeviceInfo info(i); |
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cout << "Device [" << i << "] \n"; |
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cout << "\t Name: " << info.name() << '\n'; |
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cout << "\t Compute capability: " << info.majorVersion() << '.' << info.minorVersion()<< '\n'; |
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cout << "\t Multi Processor Count: " << info.multiProcessorCount() << '\n'; |
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cout << "\t Total memory: " << static_cast<int>(static_cast<int>(info.totalMemory() / 1024.0) / 1024.0) << " Mb \n"; |
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cout << "\t Free memory: " << static_cast<int>(static_cast<int>(info.freeMemory() / 1024.0) / 1024.0) << " Mb \n"; |
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if (!info.isCompatible()) |
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cout << "\t !!! This device is NOT compatible with current GPU module build \n"; |
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cout << endl; |
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} |
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#endif |
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} |
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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 }" |
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"{ device | device | 0 | Device on which tests will be executed }" |
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"{ cpu | cpu | false | Run tests on cpu }" |
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); |
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printOsInfo(); |
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printCudaInfo(); |
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if (cmd.get<bool>("print_info_only")) |
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return 0; |
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int device = cmd.get<int>("device"); |
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bool cpu = cmd.get<bool>("cpu"); |
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#ifndef HAVE_CUDA |
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cpu = true; |
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#endif |
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if (cpu) |
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{ |
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runOnGpu = false; |
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cout << "Run tests on CPU \n" << endl; |
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} |
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else |
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{ |
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runOnGpu = true; |
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if (device < 0 || device >= getCudaEnabledDeviceCount()) |
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{ |
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cerr << "Incorrect device index - " << device << endl; |
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return -1; |
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} |
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DeviceInfo info(device); |
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if (!info.isCompatible()) |
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{ |
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cerr << "Device " << device << " [" << info.name() << "] is NOT compatible with current GPU module build" << endl; |
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return -1; |
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} |
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setDevice(device); |
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cout << "Run tests on device " << device << " [" << info.name() << "] \n" << endl; |
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} |
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InitGoogleTest(&argc, argv); |
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perf::TestBase::Init(argc, argv); |
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return RUN_ALL_TESTS(); |
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}
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