2012-10-17 07:18:30 +08:00
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/*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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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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#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
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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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try
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{
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const char* keys =
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2012-11-13 21:50:29 +08:00
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"{ h | help ? | false | Print help}"
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"{ i | info | false | Print information about system and exit }"
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"{ d | device | -1 | Device on which tests will be executed (-1 means all devices) }"
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"{ nvtest_output_level | nvtest_output_level | none | NVidia test verbosity level (none, compact, full) }"
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2012-10-17 07:18:30 +08:00
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;
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CommandLineParser cmd(argc, (const char**)argv, keys);
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if (cmd.get<bool>("help"))
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{
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cmd.printParams();
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return 0;
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}
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printOsInfo();
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printCudaInfo();
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if (cmd.get<bool>("info"))
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{
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return 0;
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}
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int device = cmd.get<int>("device");
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if (device < 0)
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{
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DeviceManager::instance().loadAll();
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cout << "Run tests on all supported devices \n" << endl;
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}
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else
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{
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DeviceManager::instance().load(device);
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DeviceInfo info(device);
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cout << "Run tests on device " << device << " [" << info.name() << "] \n" << endl;
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}
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string outputLevel = cmd.get<string>("nvtest_output_level");
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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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TS::ptr()->init("gpu");
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InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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}
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catch (const exception& e)
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{
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cerr << e.what() << endl;
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return -1;
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}
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catch (...)
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{
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cerr << "Unknown error" << endl;
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return -1;
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}
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return 0;
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}
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#else // HAVE_CUDA
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int main()
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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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