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#include "test_precomp.hpp"

#ifdef HAVE_CUDA


using namespace std;
using namespace cv;
using namespace cv::cuda;
using namespace cvtest;
using namespace testing;
using namespace testing::internal;

//////////////////////////////////////////////////////////////////////
// Gpu devices

bool supportFeature(const DeviceInfo& info, FeatureSet feature)
{
    return TargetArchs::builtWith(feature) && info.supports(feature);
}

DeviceManager& DeviceManager::instance()
{
    static DeviceManager obj;
    return obj;
}

void DeviceManager::load(int i)
{
    devices_.clear();
    devices_.reserve(1);

    std::ostringstream msg;

    if (i < 0 || i >= getCudaEnabledDeviceCount())
    {
        msg << "Incorrect device number - " << i;
        CV_Error(cv::Error::StsBadArg, msg.str());
    }

    DeviceInfo info(i);

    if (!info.isCompatible())
    {
        msg << "Device " << i << " [" << info.name() << "] is NOT compatible with current CUDA module build";
        CV_Error(cv::Error::StsBadArg, msg.str());
    }

    devices_.push_back(info);
}

void DeviceManager::loadAll()
{
    int deviceCount = getCudaEnabledDeviceCount();

    devices_.clear();
    devices_.reserve(deviceCount);

    for (int i = 0; i < deviceCount; ++i)
    {
        DeviceInfo info(i);
        if (info.isCompatible())
        {
            devices_.push_back(info);
        }
    }
}

#endif // HAVE_CUDA