/*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 void print_info() { int deviceCount = cv::gpu::getCudaEnabledDeviceCount(); printf("Found %d CUDA devices\n\n", deviceCount); for (int i = 0; i < deviceCount; ++i) { cv::gpu::DeviceInfo info(i); printf("Device %d:\n", i); printf("\tName: %s\n", info.name().c_str()); printf("\tCompute capability version: %d.%d\n", info.majorVersion(), info.minorVersion()); printf("\tTotal memory: %d Mb\n", static_cast(static_cast(info.totalMemory() / 1024.0) / 1024.0)); printf("\tFree memory: %d Mb\n", static_cast(static_cast(info.freeMemory() / 1024.0) / 1024.0)); if (!info.isCompatible()) printf("\tThis device is not compatible with current GPU module build\n"); printf("\n"); } printf("GPU module was compiled for next GPU archs:\n"); printf("\tBIN:%s\n", CUDA_ARCH_BIN); printf("\tPTX:%s\n\n", CUDA_ARCH_PTX); } enum OutputLevel { OutputLevelNone, OutputLevelCompact, OutputLevelFull }; extern OutputLevel nvidiaTestOutputLevel; int main(int argc, char** argv) { cvtest::TS::ptr()->init("gpu"); testing::InitGoogleTest(&argc, argv); cv::CommandLineParser parser(argc, (const char**)argv); std::string outputLevel = parser.get("nvtest_output_level", "none"); if (outputLevel == "none") nvidiaTestOutputLevel = OutputLevelNone; else if (outputLevel == "compact") nvidiaTestOutputLevel = OutputLevelCompact; else if (outputLevel == "full") nvidiaTestOutputLevel = OutputLevelFull; print_info(); return RUN_ALL_TESTS(); } #else // HAVE_CUDA int main(int argc, char** argv) { printf("OpenCV was built without CUDA support\n"); return 0; } #endif // HAVE_CUDA