opencv/modules/gpu/src/initialization.cpp

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/*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.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders may not be used to endorse or promote products
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// This software is provided by the copyright holders and contributors "as is" and
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// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
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// and on any theory of liability, whether in contract, strict liability,
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//M*/
#include "precomp.hpp"
using namespace cv;
using namespace cv::gpu;
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#if !defined (HAVE_CUDA)
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CV_EXPORTS int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
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CV_EXPORTS string cv::gpu::getDeviceName(int /*device*/) { throw_nogpu(); return 0; }
CV_EXPORTS void cv::gpu::setDevice(int /*device*/) { throw_nogpu(); }
CV_EXPORTS int cv::gpu::getDevice() { throw_nogpu(); return 0; }
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CV_EXPORTS void cv::gpu::getComputeCapability(int /*device*/, int& /*major*/, int& /*minor*/) { throw_nogpu(); }
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CV_EXPORTS int cv::gpu::getNumberOfSMs(int /*device*/) { throw_nogpu(); return 0; }
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CV_EXPORTS void cv::gpu::getGpuMemInfo(size_t& /*free*/, size_t& /*total*/) { throw_nogpu(); }
CV_EXPORTS bool cv::gpu::hasNativeDoubleSupport(int /*device*/) { throw_nogpu(); return false; }
CV_EXPORTS bool cv::gpu::hasAtomicsSupport(int /*device*/) { throw_nogpu(); return false; }
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#else /* !defined (HAVE_CUDA) */
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CV_EXPORTS int cv::gpu::getCudaEnabledDeviceCount()
{
int count;
cudaSafeCall( cudaGetDeviceCount( &count ) );
return count;
}
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CV_EXPORTS string cv::gpu::getDeviceName(int device)
{
cudaDeviceProp prop;
cudaSafeCall( cudaGetDeviceProperties( &prop, device) );
return prop.name;
}
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CV_EXPORTS void cv::gpu::setDevice(int device)
{
cudaSafeCall( cudaSetDevice( device ) );
}
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CV_EXPORTS int cv::gpu::getDevice()
{
int device;
cudaSafeCall( cudaGetDevice( &device ) );
return device;
}
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CV_EXPORTS void cv::gpu::getComputeCapability(int device, int& major, int& minor)
{
cudaDeviceProp prop;
cudaSafeCall( cudaGetDeviceProperties( &prop, device) );
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major = prop.major;
minor = prop.minor;
}
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CV_EXPORTS int cv::gpu::getNumberOfSMs(int device)
{
cudaDeviceProp prop;
cudaSafeCall( cudaGetDeviceProperties( &prop, device ) );
return prop.multiProcessorCount;
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}
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CV_EXPORTS void cv::gpu::getGpuMemInfo(size_t& free, size_t& total)
{
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cudaSafeCall( cudaMemGetInfo( &free, &total ) );
}
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CV_EXPORTS bool cv::gpu::hasNativeDoubleSupport(int device)
{
int major, minor;
getComputeCapability(device, major, minor);
return major > 1 || (major == 1 && minor >= 3);
}
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CV_EXPORTS bool cv::gpu::hasAtomicsSupport(int device)
{
int major, minor;
getComputeCapability(device, major, minor);
return major > 1 || (major == 1 && minor >= 1);
}
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namespace
{
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struct ComparerEqual
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{
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bool operator()(int lhs1, int lhs2, int rhs1, int rhs2) const
{
return lhs1 == rhs1 && lhs2 == rhs2;
}
};
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struct ComparerLessOrEqual
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{
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bool operator()(int lhs1, int lhs2, int rhs1, int rhs2) const
{
return lhs1 < rhs1 || (lhs1 == rhs1 && lhs2 <= rhs2);
}
};
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struct ComparerGreaterOrEqual
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{
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bool operator()(int lhs1, int lhs2, int rhs1, int rhs2) const
{
return lhs1 > rhs1 || (lhs1 == rhs1 && lhs2 >= rhs2);
}
};
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template <typename Comparer>
bool checkPtxVersion(int major, int minor, Comparer cmp)
{
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#ifdef OPENCV_GPU_CUDA_ARCH_10
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if (cmp(1, 0, major, minor)) return true;
#endif
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#ifdef OPENCV_GPU_CUDA_ARCH_11
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if (cmp(1, 1, major, minor)) return true;
#endif
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#ifdef OPENCV_GPU_CUDA_ARCH_12
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if (cmp(1, 2, major, minor)) return true;
#endif
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#ifdef OPENCV_GPU_CUDA_ARCH_13
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if (cmp(1, 3, major, minor)) return true;
#endif
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#ifdef OPENCV_GPU_CUDA_ARCH_20
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if (cmp(2, 0, major, minor)) return true;
#endif
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#ifdef OPENCV_GPU_CUDA_ARCH_21
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if (cmp(2, 1, major, minor)) return true;
#endif
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return false;
}
}
CV_EXPORTS bool cv::gpu::ptxVersionIs(int major, int minor)
{
return checkPtxVersion(major, minor, ComparerEqual());
}
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CV_EXPORTS bool cv::gpu::ptxVersionIsLessOrEqual(int major, int minor)
{
return checkPtxVersion(major, minor, ComparerLessOrEqual());
}
CV_EXPORTS bool cv::gpu::ptxVersionIsGreaterOrEqual(int major, int minor)
{
return checkPtxVersion(major, minor, ComparerGreaterOrEqual());
}
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CV_EXPORTS bool isCompatibleWith(int device)
{
// According to the CUDA C Programming Guide Version 3.2: "PTX code
// produced for some specific compute capability can always be compiled to
// binary code of greater or equal compute capability".
int major, minor;
getComputeCapability(device, major, minor);
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return ptxVersionIsLessOrEqual(major, minor);
}
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#endif