1 /*M///////////////////////////////////////////////////////////////////////////////////////
2 //
3 // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
4 //
5 // By downloading, copying, installing or using the software you agree to this license.
6 // If you do not agree to this license, do not download, install,
7 // copy or use the software.
8 //
9 //
10 // License Agreement
11 // For Open Source Computer Vision Library
12 //
13 // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
14 // Copyright (C) 2009, Willow Garage Inc., all rights reserved.
15 // Third party copyrights are property of their respective owners.
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17 // Redistribution and use in source and binary forms, with or without modification,
18 // are permitted provided that the following conditions are met:
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21 // this list of conditions and the following disclaimer.
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23 // * Redistribution's in binary form must reproduce the above copyright notice,
24 // this list of conditions and the following disclaimer in the documentation
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27 // * The name of the copyright holders may not be used to endorse or promote products
28 // derived from this software without specific prior written permission.
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39 // the use of this software, even if advised of the possibility of such damage.
40 //
41 //M*/
42
43 #include "test_precomp.hpp"
44
45 #ifdef HAVE_CUDA
46
47 using namespace std;
48 using namespace cv;
49 using namespace cv::cuda;
50 using namespace cvtest;
51 using namespace testing;
52
main(int argc,char ** argv)53 int main(int argc, char** argv)
54 {
55 try
56 {
57 const std::string keys =
58 "{ h help ? | | Print help}"
59 "{ i info | | Print information about system and exit }"
60 "{ device | -1 | Device on which tests will be executed (-1 means all devices) }"
61 "{ nvtest_output_level | none | NVidia test verbosity level (none, compact, full) }"
62 ;
63
64 CommandLineParser cmd(argc, (const char**)argv, keys);
65
66 if (cmd.has("help"))
67 {
68 cmd.printMessage();
69 return 0;
70 }
71
72 printCudaInfo();
73
74 if (cmd.has("info"))
75 {
76 return 0;
77 }
78
79 int device = cmd.get<int>("device");
80 if (device < 0)
81 {
82 DeviceManager::instance().loadAll();
83
84 cout << "Run tests on all supported devices \n" << endl;
85 }
86 else
87 {
88 DeviceManager::instance().load(device);
89
90 DeviceInfo info(device);
91 cout << "Run tests on device " << device << " [" << info.name() << "] \n" << endl;
92 }
93
94 string outputLevel = cmd.get<string>("nvtest_output_level");
95
96 if (outputLevel == "none")
97 nvidiaTestOutputLevel = OutputLevelNone;
98 else if (outputLevel == "compact")
99 nvidiaTestOutputLevel = OutputLevelCompact;
100 else if (outputLevel == "full")
101 nvidiaTestOutputLevel = OutputLevelFull;
102
103 TS::ptr()->init("gpu");
104 InitGoogleTest(&argc, argv);
105
106 return RUN_ALL_TESTS();
107 }
108 catch (const exception& e)
109 {
110 cerr << e.what() << endl;
111 return -1;
112 }
113 catch (...)
114 {
115 cerr << "Unknown error" << endl;
116 return -1;
117 }
118
119 return 0;
120 }
121
122 #else // HAVE_CUDA
123
main()124 int main()
125 {
126 printf("OpenCV was built without CUDA support\n");
127 return 0;
128 }
129
130 #endif // HAVE_CUDA
131