/*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. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "test_precomp.hpp" #ifdef HAVE_CUDA using namespace std; using namespace cv; using namespace cv::gpu; using namespace cvtest; using namespace testing; void printOsInfo() { #if defined _WIN32 # if defined _WIN64 cout << "OS: Windows x64 \n" << endl; # else cout << "OS: Windows x32 \n" << endl; # endif #elif defined linux # if defined _LP64 cout << "OS: Linux x64 \n" << endl; # else cout << "OS: Linux x32 \n" << endl; # endif #elif defined __APPLE__ # if defined _LP64 cout << "OS: Apple x64 \n" << endl; # else 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); cout << "CUDA Driver version: " << driver << '\n'; cout << "CUDA Runtime version: " << CUDART_VERSION << '\n'; 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(); cout << "CUDA device count: " << deviceCount << '\n'; cout << endl; for (int i = 0; i < deviceCount; ++i) { DeviceInfo info(i); 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(static_cast(info.totalMemory() / 1024.0) / 1024.0) << " Mb \n"; cout << "\t Free memory: " << static_cast(static_cast(info.freeMemory() / 1024.0) / 1024.0) << " Mb \n"; if (!info.isCompatible()) cout << "\t !!! This device is NOT compatible with current GPU module build \n"; cout << endl; } #endif } int main(int argc, char** argv) { try { 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 }" ); printOsInfo(); printCudaInfo(); if (cmd.get("print_info_only")) return 0; int device = cmd.get("device"); if (device < 0) { DeviceManager::instance().loadAll(); cout << "Run tests on all supported devices \n" << endl; } else { DeviceManager::instance().load(device); DeviceInfo info(device); cout << "Run tests on device " << device << " [" << info.name() << "] \n" << endl; } string outputLevel = cmd.get("nvtest_output_level"); if (outputLevel == "none") nvidiaTestOutputLevel = OutputLevelNone; else if (outputLevel == "compact") nvidiaTestOutputLevel = OutputLevelCompact; else if (outputLevel == "full") nvidiaTestOutputLevel = OutputLevelFull; TS::ptr()->init("gpu"); InitGoogleTest(&argc, argv); return RUN_ALL_TESTS(); } catch (const exception& e) { cerr << e.what() << endl; return -1; } catch (...) { cerr << "Unknown error" << endl; return -1; } return 0; } #else // HAVE_CUDA int main() { printf("OpenCV was built without CUDA support\n"); return 0; } #endif // HAVE_CUDA