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#include "opencv2/opencv_modules.hpp"

#ifndef HAVE_OPENCV_CUDEV

#error "opencv_cudev is required"

#else

#include "opencv2/cudaarithm.hpp"
#include "opencv2/cudev.hpp"
#include "opencv2/core/private.cuda.hpp"

using namespace cv;
using namespace cv::cuda;
using namespace cv::cudev;

void cv::cuda::transpose(InputArray _src, OutputArray _dst, Stream& stream)
{
    GpuMat src = getInputMat(_src, stream);

    const size_t elemSize = src.elemSize();

    CV_Assert( elemSize == 1 || elemSize == 4 || elemSize == 8 );

    GpuMat dst = getOutputMat(_dst, src.cols, src.rows, src.type(), stream);

    if (elemSize == 1)
    {
        NppStreamHandler h(StreamAccessor::getStream(stream));

        NppiSize sz;
        sz.width  = src.cols;
        sz.height = src.rows;

#if USE_NPP_STREAM_CTX
        nppSafeCall(nppiTranspose_8u_C1R_Ctx(src.ptr<Npp8u>(), static_cast<int>(src.step),
            dst.ptr<Npp8u>(), static_cast<int>(dst.step), sz, h));
#else
        nppSafeCall( nppiTranspose_8u_C1R(src.ptr<Npp8u>(), static_cast<int>(src.step),
            dst.ptr<Npp8u>(), static_cast<int>(dst.step), sz) );
#endif

        if (!stream)
            CV_CUDEV_SAFE_CALL( cudaDeviceSynchronize() );
    }
    else if (elemSize == 4)
    {
        gridTranspose(globPtr<int>(src), globPtr<int>(dst), stream);
    }
    else // if (elemSize == 8)
    {
        gridTranspose(globPtr<double>(src), globPtr<double>(dst), stream);
    }

    syncOutput(dst, _dst, stream);
}

#endif
