133 lines
4.5 KiB
C++
133 lines
4.5 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#ifdef HAVE_CUDA
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#include <cuda_runtime_api.h>
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void print_info()
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{
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#if defined _WIN32
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# if defined _WIN64
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puts("OS: Windows 64\n");
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# else
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puts("OS: Windows 32\n");
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# endif
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#elif defined linux
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# if defined _LP64
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puts("OS: Linux 64\n");
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# else
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puts("OS: Linux 32\n");
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# endif
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#elif defined __APPLE__
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# if defined _LP64
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puts("OS: Apple 64\n");
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# else
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puts("OS: Apple 32\n");
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# endif
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#endif
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printf("CUDA version: %d\n\n", CUDART_VERSION);
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int deviceCount = cv::gpu::getCudaEnabledDeviceCount();
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printf("Found %d CUDA devices\n\n", deviceCount);
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for (int i = 0; i < deviceCount; ++i)
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{
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cv::gpu::DeviceInfo info(i);
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printf("Device %d:\n", i);
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printf("\tName: %s\n", info.name().c_str());
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printf("\tCompute capability version: %d.%d\n", info.majorVersion(), info.minorVersion());
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printf("\tTotal memory: %d Mb\n", static_cast<int>(static_cast<int>(info.totalMemory() / 1024.0) / 1024.0));
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printf("\tFree memory: %d Mb\n", static_cast<int>(static_cast<int>(info.freeMemory() / 1024.0) / 1024.0));
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if (info.isCompatible())
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puts("\tThis device is compatible with current GPU module build\n");
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else
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puts("\tThis device is NOT compatible with current GPU module build\n");
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}
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puts("GPU module was compiled for next GPU archs:");
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printf("\tBIN:%s\n", CUDA_ARCH_BIN);
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printf("\tPTX:%s\n\n", CUDA_ARCH_PTX);
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}
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enum OutputLevel
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{
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OutputLevelNone,
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OutputLevelCompact,
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OutputLevelFull
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};
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extern OutputLevel nvidiaTestOutputLevel;
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int main(int argc, char** argv)
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{
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cvtest::TS::ptr()->init("gpu");
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testing::InitGoogleTest(&argc, argv);
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cv::CommandLineParser parser(argc, (const char**)argv);
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std::string outputLevel = parser.get<std::string>("nvtest_output_level", "none");
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if (outputLevel == "none")
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nvidiaTestOutputLevel = OutputLevelNone;
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else if (outputLevel == "compact")
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nvidiaTestOutputLevel = OutputLevelCompact;
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else if (outputLevel == "full")
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nvidiaTestOutputLevel = OutputLevelFull;
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print_info();
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return RUN_ALL_TESTS();
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}
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#else // HAVE_CUDA
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int main(int argc, char** argv)
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{
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printf("OpenCV was built without CUDA support\n");
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return 0;
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}
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#endif // HAVE_CUDA
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