opencv/modules/gpu/src/initialization.cpp

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#include "precomp.hpp"

using namespace cv;
using namespace cv::gpu;


#if !defined (HAVE_CUDA)

CV_EXPORTS int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
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; } 
CV_EXPORTS void cv::gpu::getComputeCapability(int /*device*/, int& /*major*/, int& /*minor*/) { throw_nogpu(); } 
CV_EXPORTS int cv::gpu::getNumberOfSMs(int /*device*/) { throw_nogpu(); return 0; } 
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; }


#else /* !defined (HAVE_CUDA) */

CV_EXPORTS int cv::gpu::getCudaEnabledDeviceCount()
{
    int count;
    cudaSafeCall( cudaGetDeviceCount( &count ) );
    return count;
}

CV_EXPORTS string cv::gpu::getDeviceName(int device)
{
    cudaDeviceProp prop;
    cudaSafeCall( cudaGetDeviceProperties( &prop, device) );
    return prop.name;
}

CV_EXPORTS void cv::gpu::setDevice(int device)
{
    cudaSafeCall( cudaSetDevice( device ) );
}
CV_EXPORTS int cv::gpu::getDevice()
{
    int device;    
    cudaSafeCall( cudaGetDevice( &device ) );
    return device;
}

CV_EXPORTS void cv::gpu::getComputeCapability(int device, int& major, int& minor)
{
    cudaDeviceProp prop;    
    cudaSafeCall( cudaGetDeviceProperties( &prop, device) );

    major = prop.major;
    minor = prop.minor;
}

CV_EXPORTS int cv::gpu::getNumberOfSMs(int device)
{
    cudaDeviceProp prop;
    cudaSafeCall( cudaGetDeviceProperties( &prop, device ) );
    return prop.multiProcessorCount;
}


CV_EXPORTS void cv::gpu::getGpuMemInfo(size_t& free, size_t& total)
{
    cudaSafeCall( cudaMemGetInfo( &free, &total ) );
}

CV_EXPORTS bool cv::gpu::hasNativeDoubleSupport(int device)
{
    int major, minor;
    getComputeCapability(device, major, minor);
    return major > 1 || (major == 1 && minor >= 3);
}

CV_EXPORTS bool cv::gpu::hasAtomicsSupport(int device) 
{
    int major, minor;
    getComputeCapability(device, major, minor);
    return major > 1 || (major == 1 && minor >= 1);
}

CV_EXPORTS bool cv::gpu::hasPtxFor(int major, int minor) 
{
#ifdef HAVE_PTX_FOR_NVIDIA_CC_10
    if (major == 1 && minor == 0) return true;
#endif

#ifdef HAVE_PTX_FOR_NVIDIA_CC_11
    if (major == 1 && minor == 1) return true;
#endif

#ifdef HAVE_PTX_FOR_NVIDIA_CC_12
    if (major == 1 && minor == 2) return true;
#endif

#ifdef HAVE_PTX_FOR_NVIDIA_CC_13
    if (major == 1 && minor == 3) return true;
#endif

#ifdef HAVE_PTX_FOR_NVIDIA_CC_20
    if (major == 2 && minor == 0) return true;
#endif

#ifdef HAVE_PTX_FOR_NVIDIA_CC_21
    if (major == 2 && minor == 1) return true;
#endif

    return false;
}


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);

    for (; major >= 1; --major)
    {
        for (; minor >= 0; --minor)
        {
            if (hasPtxFor(major, minor))
                return true;
        }
        minor = 9;
    }

    return false;
}

#endif