/*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 GpuMaterials provided with the distribution.
//
//   * The name of the copyright holders may not be used to endorse or promote products
//     derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
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// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/

#include "precomp.hpp"

using namespace cv;
using namespace cv::gpu;

#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)

void cv::gpu::add(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::add(const GpuMat&, const Scalar&, GpuMat&, const GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::subtract(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::subtract(const GpuMat&, const Scalar&, GpuMat&, const GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::multiply(const GpuMat&, const GpuMat&, GpuMat&, double, int, Stream&) { throw_nogpu(); }
void cv::gpu::multiply(const GpuMat&, const Scalar&, GpuMat&, double, int, Stream&) { throw_nogpu(); }
void cv::gpu::divide(const GpuMat&, const GpuMat&, GpuMat&, double, int, Stream&) { throw_nogpu(); }
void cv::gpu::divide(const GpuMat&, const Scalar&, GpuMat&, double, int, Stream&) { throw_nogpu(); }
void cv::gpu::divide(double, const GpuMat&, GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::absdiff(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::absdiff(const GpuMat&, const Scalar&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::abs(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::sqr(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::sqrt(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::exp(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::log(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::compare(const GpuMat&, const GpuMat&, GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::bitwise_not(const GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::bitwise_or(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::bitwise_or(const GpuMat&, const Scalar&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::bitwise_and(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::bitwise_and(const GpuMat&, const Scalar&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::bitwise_xor(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::bitwise_xor(const GpuMat&, const Scalar&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::rshift(const GpuMat&, Scalar_<int>, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::lshift(const GpuMat&, Scalar_<int>, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::min(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::min(const GpuMat&, double, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::max(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::max(const GpuMat&, double, GpuMat&, Stream&) { throw_nogpu(); }
double cv::gpu::threshold(const GpuMat&, GpuMat&, double, double, int, Stream&) {throw_nogpu(); return 0.0;}
void cv::gpu::pow(const GpuMat&, double, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::alphaComp(const GpuMat&, const GpuMat&, GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::addWeighted(const GpuMat&, double, const GpuMat&, double, double, GpuMat&, int, Stream&) { throw_nogpu(); }

#else

////////////////////////////////////////////////////////////////////////
// Basic arithmetical operations (add subtract multiply divide)

namespace
{
    template<int DEPTH> struct NppTypeTraits;
    template<> struct NppTypeTraits<CV_8U>  { typedef Npp8u npp_t; };
    template<> struct NppTypeTraits<CV_8S>  { typedef Npp8s npp_t; };
    template<> struct NppTypeTraits<CV_16U> { typedef Npp16u npp_t; };
    template<> struct NppTypeTraits<CV_16S> { typedef Npp16s npp_t; typedef Npp16sc npp_complex_type; };
    template<> struct NppTypeTraits<CV_32S> { typedef Npp32s npp_t; typedef Npp32sc npp_complex_type; };
    template<> struct NppTypeTraits<CV_32F> { typedef Npp32f npp_t; typedef Npp32fc npp_complex_type; };
    template<> struct NppTypeTraits<CV_64F> { typedef Npp64f npp_t; typedef Npp64fc npp_complex_type; };

    template <int DEPTH> struct NppArithmFunc
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc1, int nSrc1Step, const npp_t* pSrc2, int nSrc2Step, npp_t* pDst, int nDstStep, NppiSize oSizeROI, int nScaleFactor);
    };
    template <> struct NppArithmFunc<CV_32F>
    {
        typedef NppTypeTraits<CV_32F>::npp_t npp_t;

        typedef NppStatus (*func_t)(const Npp32f* pSrc1, int nSrc1Step, const Npp32f* pSrc2, int nSrc2Step, Npp32f* pDst, int nDstStep, NppiSize oSizeROI);
    };

    template <int DEPTH, typename NppArithmFunc<DEPTH>::func_t func> struct NppArithm
    {
        typedef typename NppArithmFunc<DEPTH>::npp_t npp_t;

        static void call(const PtrStepSzb src1, const PtrStepb src2, PtrStepb dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

            NppiSize sz;
            sz.width  = src1.cols;
            sz.height = src1.rows;

            nppSafeCall( func((const npp_t*)src1.data, static_cast<int>(src1.step), (const npp_t*)src2.data, static_cast<int>(src2.step),
                              (npp_t*)dst.data, static_cast<int>(dst.step), sz, 0) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
    template <typename NppArithmFunc<CV_32F>::func_t func> struct NppArithm<CV_32F, func>
    {
        typedef typename NppArithmFunc<CV_32F>::npp_t npp_t;

        static void call(const PtrStepSzb src1, const PtrStepb src2, PtrStepb dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

            NppiSize sz;
            sz.width  = src1.cols;
            sz.height = src1.rows;

            nppSafeCall( func((const npp_t*)src1.data, static_cast<int>(src1.step), (const npp_t*)src2.data, static_cast<int>(src2.step),
                              (npp_t*)dst.data, static_cast<int>(dst.step), sz) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };

    template<int DEPTH, int cn> struct NppArithmScalarFunc
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_ptr)(const npp_t* pSrc1, int nSrc1Step, const npp_t* pConstants,
            npp_t* pDst, int nDstStep, NppiSize oSizeROI, int nScaleFactor);
    };
    template<int DEPTH> struct NppArithmScalarFunc<DEPTH, 1>
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_ptr)(const npp_t* pSrc1, int nSrc1Step, const npp_t pConstants,
            npp_t* pDst, int nDstStep, NppiSize oSizeROI, int nScaleFactor);
    };
    template<int DEPTH> struct NppArithmScalarFunc<DEPTH, 2>
    {
        typedef typename NppTypeTraits<DEPTH>::npp_complex_type npp_complex_type;

        typedef NppStatus (*func_ptr)(const npp_complex_type* pSrc1, int nSrc1Step, const npp_complex_type pConstants,
            npp_complex_type* pDst, int nDstStep, NppiSize oSizeROI, int nScaleFactor);
    };
    template<int cn> struct NppArithmScalarFunc<CV_32F, cn>
    {
        typedef NppStatus (*func_ptr)(const Npp32f* pSrc1, int nSrc1Step, const Npp32f* pConstants, Npp32f* pDst, int nDstStep, NppiSize oSizeROI);
    };
    template<> struct NppArithmScalarFunc<CV_32F, 1>
    {
        typedef NppStatus (*func_ptr)(const Npp32f* pSrc1, int nSrc1Step, const Npp32f pConstants, Npp32f* pDst, int nDstStep, NppiSize oSizeROI);
    };
    template<> struct NppArithmScalarFunc<CV_32F, 2>
    {
        typedef NppStatus (*func_ptr)(const Npp32fc* pSrc1, int nSrc1Step, const Npp32fc pConstants, Npp32fc* pDst, int nDstStep, NppiSize oSizeROI);
    };

    template<int DEPTH, int cn, typename NppArithmScalarFunc<DEPTH, cn>::func_ptr func> struct NppArithmScalar
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        static void call(const PtrStepSzb src, Scalar sc, PtrStepb dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

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

            const npp_t pConstants[] = { saturate_cast<npp_t>(sc.val[0]), saturate_cast<npp_t>(sc.val[1]), saturate_cast<npp_t>(sc.val[2]), saturate_cast<npp_t>(sc.val[3]) };

            nppSafeCall( func((const npp_t*)src.data, static_cast<int>(src.step), pConstants, (npp_t*)dst.data, static_cast<int>(dst.step), sz, 0) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
    template<int DEPTH, typename NppArithmScalarFunc<DEPTH, 1>::func_ptr func> struct NppArithmScalar<DEPTH, 1, func>
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        static void call(const PtrStepSzb src, Scalar sc, PtrStepb dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

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

            nppSafeCall( func((const npp_t*)src.data, static_cast<int>(src.step), saturate_cast<npp_t>(sc.val[0]), (npp_t*)dst.data, static_cast<int>(dst.step), sz, 0) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
    template<int DEPTH, typename NppArithmScalarFunc<DEPTH, 2>::func_ptr func> struct NppArithmScalar<DEPTH, 2, func>
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;
        typedef typename NppTypeTraits<DEPTH>::npp_complex_type npp_complex_type;

        static void call(const PtrStepSzb src, Scalar sc, PtrStepb dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

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

            npp_complex_type nConstant;
            nConstant.re = saturate_cast<npp_t>(sc.val[0]);
            nConstant.im = saturate_cast<npp_t>(sc.val[1]);

            nppSafeCall( func((const npp_complex_type*)src.data, static_cast<int>(src.step), nConstant,
                              (npp_complex_type*)dst.data, static_cast<int>(dst.step), sz, 0) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
    template<int cn, typename NppArithmScalarFunc<CV_32F, cn>::func_ptr func> struct NppArithmScalar<CV_32F, cn, func>
    {
        typedef typename NppTypeTraits<CV_32F>::npp_t npp_t;

        static void call(const PtrStepSzb src, Scalar sc, PtrStepb dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

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

            const Npp32f pConstants[] = { saturate_cast<Npp32f>(sc.val[0]), saturate_cast<Npp32f>(sc.val[1]), saturate_cast<Npp32f>(sc.val[2]), saturate_cast<Npp32f>(sc.val[3]) };

            nppSafeCall( func((const npp_t*)src.data, static_cast<int>(src.step), pConstants, (npp_t*)dst.data, static_cast<int>(dst.step), sz) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
    template<typename NppArithmScalarFunc<CV_32F, 1>::func_ptr func> struct NppArithmScalar<CV_32F, 1, func>
    {
        typedef typename NppTypeTraits<CV_32F>::npp_t npp_t;

        static void call(const PtrStepSzb src, Scalar sc, PtrStepb dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

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

            nppSafeCall( func((const npp_t*)src.data, static_cast<int>(src.step), saturate_cast<Npp32f>(sc.val[0]), (npp_t*)dst.data, static_cast<int>(dst.step), sz) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
    template<typename NppArithmScalarFunc<CV_32F, 2>::func_ptr func> struct NppArithmScalar<CV_32F, 2, func>
    {
        typedef typename NppTypeTraits<CV_32F>::npp_t npp_t;
        typedef typename NppTypeTraits<CV_32F>::npp_complex_type npp_complex_type;

        static void call(const PtrStepSzb src, Scalar sc, PtrStepb dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

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

            Npp32fc nConstant;
            nConstant.re = saturate_cast<Npp32f>(sc.val[0]);
            nConstant.im = saturate_cast<Npp32f>(sc.val[1]);

            nppSafeCall( func((const npp_complex_type*)src.data, static_cast<int>(src.step), nConstant, (npp_complex_type*)dst.data, static_cast<int>(dst.step), sz) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
}

////////////////////////////////////////////////////////////////////////
// add

namespace cv { namespace gpu { namespace device
{
    template <typename T, typename D>
    void add_gpu(const PtrStepSzb& src1, const PtrStepSzb& src2, const PtrStepSzb& dst, const PtrStepb& mask, cudaStream_t stream);

    template <typename T, typename D>
    void add_gpu(const PtrStepSzb& src1, double val, const PtrStepSzb& dst, const PtrStepb& mask, cudaStream_t stream);
}}}

void cv::gpu::add(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, int dtype, Stream& s)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb& src1, const PtrStepSzb& src2, const PtrStepSzb& dst, const PtrStepb& mask, cudaStream_t stream);
    static const func_t funcs[7][7] =
    {
        {add_gpu<unsigned char, unsigned char>       , 0 /*add_gpu<unsigned char, signed char>*/ , add_gpu<unsigned char, unsigned short>    , add_gpu<unsigned char, short>       , add_gpu<unsigned char, int>    , add_gpu<unsigned char, float>    , add_gpu<unsigned char, double>    },
        {0 /*add_gpu<signed char, unsigned char>*/   , 0 /*add_gpu<signed char, signed char>*/   , 0 /*add_gpu<signed char, unsigned short>*/, 0 /*add_gpu<signed char, short>*/   , 0 /*add_gpu<signed char, int>*/, 0 /*add_gpu<signed char, float>*/, 0 /*add_gpu<signed char, double>*/},
        {0 /*add_gpu<unsigned short, unsigned char>*/, 0 /*add_gpu<unsigned short, signed char>*/, add_gpu<unsigned short, unsigned short>   , 0 /*add_gpu<unsigned short, short>*/, add_gpu<unsigned short, int>   , add_gpu<unsigned short, float>   , add_gpu<unsigned short, double>   },
        {0 /*add_gpu<short, unsigned char>*/         , 0 /*add_gpu<short, signed char>*/         , 0 /*add_gpu<short, unsigned short>*/      , add_gpu<short, short>               , add_gpu<short, int>            , add_gpu<short, float>            , add_gpu<short, double>            },
        {0 /*add_gpu<int, unsigned char>*/           , 0 /*add_gpu<int, signed char>*/           , 0 /*add_gpu<int, unsigned short>*/        , 0 /*add_gpu<int, short>*/           , add_gpu<int, int>              , add_gpu<int, float>              , add_gpu<int, double>              },
        {0 /*add_gpu<float, unsigned char>*/         , 0 /*add_gpu<float, signed char>*/         , 0 /*add_gpu<float, unsigned short>*/      , 0 /*add_gpu<float, short>*/         , 0 /*add_gpu<float, int>*/      , add_gpu<float, float>            , add_gpu<float, double>            },
        {0 /*add_gpu<double, unsigned char>*/        , 0 /*add_gpu<double, signed char>*/        , 0 /*add_gpu<double, unsigned short>*/     , 0 /*add_gpu<double, short>*/        , 0 /*add_gpu<double, int>*/     , 0 /*add_gpu<double, float>*/     , add_gpu<double, double>           }
    };

    typedef void (*npp_func_t)(const PtrStepSzb src1, const PtrStepb src2, PtrStepb dst, cudaStream_t stream);
    static const npp_func_t npp_funcs[] =
    {
        NppArithm<CV_8U , nppiAdd_8u_C1RSfs >::call,
        0,
        NppArithm<CV_16U, nppiAdd_16u_C1RSfs>::call,
        NppArithm<CV_16S, nppiAdd_16s_C1RSfs>::call,
        NppArithm<CV_32S, nppiAdd_32s_C1RSfs>::call,
        NppArithm<CV_32F, nppiAdd_32f_C1R   >::call
    };

    if (dtype < 0)
        dtype = src1.depth();

    CV_Assert(src1.depth() <= CV_64F && CV_MAT_DEPTH(dtype) <= CV_64F);
    CV_Assert(src1.type() == src2.type() && src1.size() == src2.size());
    CV_Assert(mask.empty() || (src1.channels() == 1 && mask.size() == src1.size() && mask.type() == CV_8U));

    if (src1.depth() == CV_64F || CV_MAT_DEPTH(dtype) == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src1.size(), CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), src1.channels()));

    cudaStream_t stream = StreamAccessor::getStream(s);

    if (mask.empty() && dst.type() == src1.type() && src1.depth() <= CV_32F)
    {
        npp_funcs[src1.depth()](src1.reshape(1), src2.reshape(1), dst.reshape(1), stream);
        return;
    }

    const func_t func = funcs[src1.depth()][dst.depth()];

    if (!func)
        CV_Error(CV_StsUnsupportedFormat, "Unsupported combination of source and destination types");

    func(src1.reshape(1), src2.reshape(1), dst.reshape(1), mask, stream);
}

void cv::gpu::add(const GpuMat& src, const Scalar& sc, GpuMat& dst, const GpuMat& mask, int dtype, Stream& s)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb& src1, double val, const PtrStepSzb& dst, const PtrStepb& mask, cudaStream_t stream);
    static const func_t funcs[7][7] =
    {
        {add_gpu<unsigned char, unsigned char>       , 0 /*add_gpu<unsigned char, signed char>*/ , add_gpu<unsigned char, unsigned short>    , add_gpu<unsigned char, short>       , add_gpu<unsigned char, int>    , add_gpu<unsigned char, float>    , add_gpu<unsigned char, double>    },
        {0 /*add_gpu<signed char, unsigned char>*/   , 0 /*add_gpu<signed char, signed char>*/   , 0 /*add_gpu<signed char, unsigned short>*/, 0 /*add_gpu<signed char, short>*/   , 0 /*add_gpu<signed char, int>*/, 0 /*add_gpu<signed char, float>*/, 0 /*add_gpu<signed char, double>*/},
        {0 /*add_gpu<unsigned short, unsigned char>*/, 0 /*add_gpu<unsigned short, signed char>*/, add_gpu<unsigned short, unsigned short>   , 0 /*add_gpu<unsigned short, short>*/, add_gpu<unsigned short, int>   , add_gpu<unsigned short, float>   , add_gpu<unsigned short, double>   },
        {0 /*add_gpu<short, unsigned char>*/         , 0 /*add_gpu<short, signed char>*/         , 0 /*add_gpu<short, unsigned short>*/      , add_gpu<short, short>               , add_gpu<short, int>            , add_gpu<short, float>            , add_gpu<short, double>            },
        {0 /*add_gpu<int, unsigned char>*/           , 0 /*add_gpu<int, signed char>*/           , 0 /*add_gpu<int, unsigned short>*/        , 0 /*add_gpu<int, short>*/           , add_gpu<int, int>              , add_gpu<int, float>              , add_gpu<int, double>              },
        {0 /*add_gpu<float, unsigned char>*/         , 0 /*add_gpu<float, signed char>*/         , 0 /*add_gpu<float, unsigned short>*/      , 0 /*add_gpu<float, short>*/         , 0 /*add_gpu<float, int>*/      , add_gpu<float, float>            , add_gpu<float, double>            },
        {0 /*add_gpu<double, unsigned char>*/        , 0 /*add_gpu<double, signed char>*/        , 0 /*add_gpu<double, unsigned short>*/     , 0 /*add_gpu<double, short>*/        , 0 /*add_gpu<double, int>*/     , 0 /*add_gpu<double, float>*/     , add_gpu<double, double>           }
    };

    typedef void (*npp_func_t)(const PtrStepSzb src, Scalar sc, PtrStepb dst, cudaStream_t stream);
    static const npp_func_t npp_funcs[7][4] =
    {
        {NppArithmScalar<CV_8U , 1, nppiAddC_8u_C1RSfs >::call, 0                                                     , NppArithmScalar<CV_8U , 3, nppiAddC_8u_C3RSfs >::call, NppArithmScalar<CV_8U , 4, nppiAddC_8u_C4RSfs >::call},
        {0                                                    , 0                                                     , 0                                                    , 0                                                    },
        {NppArithmScalar<CV_16U, 1, nppiAddC_16u_C1RSfs>::call, 0                                                     , NppArithmScalar<CV_16U, 3, nppiAddC_16u_C3RSfs>::call, NppArithmScalar<CV_16U, 4, nppiAddC_16u_C4RSfs>::call},
        {NppArithmScalar<CV_16S, 1, nppiAddC_16s_C1RSfs>::call, NppArithmScalar<CV_16S, 2, nppiAddC_16sc_C1RSfs>::call, NppArithmScalar<CV_16S, 3, nppiAddC_16s_C3RSfs>::call, NppArithmScalar<CV_16S, 4, nppiAddC_16s_C4RSfs>::call},
        {NppArithmScalar<CV_32S, 1, nppiAddC_32s_C1RSfs>::call, NppArithmScalar<CV_32S, 2, nppiAddC_32sc_C1RSfs>::call, NppArithmScalar<CV_32S, 3, nppiAddC_32s_C3RSfs>::call, 0                                                    },
        {NppArithmScalar<CV_32F, 1, nppiAddC_32f_C1R   >::call, NppArithmScalar<CV_32F, 2, nppiAddC_32fc_C1R   >::call, NppArithmScalar<CV_32F, 3, nppiAddC_32f_C3R   >::call, NppArithmScalar<CV_32F, 4, nppiAddC_32f_C4R   >::call},
        {0                                                    , 0                                                     , 0                                                    , 0                                                    }
    };

    if (dtype < 0)
        dtype = src.depth();

    CV_Assert(src.depth() <= CV_64F && CV_MAT_DEPTH(dtype) <= CV_64F);
    CV_Assert(src.channels() <= 4);
    CV_Assert(mask.empty() || (src.channels() == 1 && mask.size() == src.size() && mask.type() == CV_8U));

    if (src.depth() == CV_64F || CV_MAT_DEPTH(dtype) == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src.size(), CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), src.channels()));

    cudaStream_t stream = StreamAccessor::getStream(s);

    if (mask.empty() && dst.type() == src.type())
    {
        const npp_func_t npp_func = npp_funcs[src.depth()][src.channels() - 1];

        if (npp_func)
        {
            npp_func(src, sc, dst, stream);
            return;
        }
    }

    CV_Assert(src.channels() == 1);

    const func_t func = funcs[src.depth()][dst.depth()];

    if (!func)
        CV_Error(CV_StsUnsupportedFormat, "Unsupported combination of source and destination types");

    func(src, sc.val[0], dst, mask, stream);
}

////////////////////////////////////////////////////////////////////////
// subtract

namespace cv { namespace gpu { namespace device
{
    template <typename T, typename D>
    void subtract_gpu(const PtrStepSzb& src1, const PtrStepSzb& src2, const PtrStepSzb& dst, const PtrStepb& mask, cudaStream_t stream);

    template <typename T, typename D>
    void subtract_gpu(const PtrStepSzb& src1, double val, const PtrStepSzb& dst, const PtrStepb& mask, cudaStream_t stream);
}}}

void cv::gpu::subtract(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, int dtype, Stream& s)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb& src1, const PtrStepSzb& src2, const PtrStepSzb& dst, const PtrStepb& mask, cudaStream_t stream);
    static const func_t funcs[7][7] =
    {
        {subtract_gpu<unsigned char, unsigned char>       , 0 /*subtract_gpu<unsigned char, signed char>*/ , subtract_gpu<unsigned char, unsigned short>    , subtract_gpu<unsigned char, short>       , subtract_gpu<unsigned char, int>    , subtract_gpu<unsigned char, float>    , subtract_gpu<unsigned char, double>    },
        {0 /*subtract_gpu<signed char, unsigned char>*/   , 0 /*subtract_gpu<signed char, signed char>*/   , 0 /*subtract_gpu<signed char, unsigned short>*/, 0 /*subtract_gpu<signed char, short>*/   , 0 /*subtract_gpu<signed char, int>*/, 0 /*subtract_gpu<signed char, float>*/, 0 /*subtract_gpu<signed char, double>*/},
        {0 /*subtract_gpu<unsigned short, unsigned char>*/, 0 /*subtract_gpu<unsigned short, signed char>*/, subtract_gpu<unsigned short, unsigned short>   , 0 /*subtract_gpu<unsigned short, short>*/, subtract_gpu<unsigned short, int>   , subtract_gpu<unsigned short, float>   , subtract_gpu<unsigned short, double>   },
        {0 /*subtract_gpu<short, unsigned char>*/         , 0 /*subtract_gpu<short, signed char>*/         , 0 /*subtract_gpu<short, unsigned short>*/      , subtract_gpu<short, short>               , subtract_gpu<short, int>            , subtract_gpu<short, float>            , subtract_gpu<short, double>            },
        {0 /*subtract_gpu<int, unsigned char>*/           , 0 /*subtract_gpu<int, signed char>*/           , 0 /*subtract_gpu<int, unsigned short>*/        , 0 /*subtract_gpu<int, short>*/           , subtract_gpu<int, int>              , subtract_gpu<int, float>              , subtract_gpu<int, double>              },
        {0 /*subtract_gpu<float, unsigned char>*/         , 0 /*subtract_gpu<float, signed char>*/         , 0 /*subtract_gpu<float, unsigned short>*/      , 0 /*subtract_gpu<float, short>*/         , 0 /*subtract_gpu<float, int>*/      , subtract_gpu<float, float>            , subtract_gpu<float, double>            },
        {0 /*subtract_gpu<double, unsigned char>*/        , 0 /*subtract_gpu<double, signed char>*/        , 0 /*subtract_gpu<double, unsigned short>*/     , 0 /*subtract_gpu<double, short>*/        , 0 /*subtract_gpu<double, int>*/     , 0 /*subtract_gpu<double, float>*/     , subtract_gpu<double, double>           }
    };

    typedef void (*npp_func_t)(const PtrStepSzb src1, const PtrStepb src2, PtrStepb dst, cudaStream_t stream);
    static const npp_func_t npp_funcs[6] =
    {
        NppArithm<CV_8U , nppiSub_8u_C1RSfs>::call,
        0,
        NppArithm<CV_16U, nppiSub_16u_C1RSfs>::call,
        NppArithm<CV_16S, nppiSub_16s_C1RSfs>::call,
        NppArithm<CV_32S, nppiSub_32s_C1RSfs>::call,
        NppArithm<CV_32F, nppiSub_32f_C1R   >::call
    };

    if (dtype < 0)
        dtype = src1.depth();

    CV_Assert(src1.depth() <= CV_64F && CV_MAT_DEPTH(dtype) <= CV_64F);
    CV_Assert(src1.type() == src2.type() && src1.size() == src2.size());
    CV_Assert(mask.empty() || (src1.channels() == 1 && mask.size() == src1.size() && mask.type() == CV_8U));

    if (src1.depth() == CV_64F || CV_MAT_DEPTH(dtype) == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src1.size(), CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), src1.channels()));

    cudaStream_t stream = StreamAccessor::getStream(s);

    if (mask.empty() && dst.type() == src1.type() && src1.depth() <= CV_32F)
    {
        npp_funcs[src1.depth()](src2.reshape(1), src1.reshape(1), dst.reshape(1), stream);
        return;
    }

    const func_t func = funcs[src1.depth()][dst.depth()];

    if (!func)
        CV_Error(CV_StsUnsupportedFormat, "Unsupported combination of source and destination types");

    func(src1.reshape(1), src2.reshape(1), dst.reshape(1), mask, stream);
}

void cv::gpu::subtract(const GpuMat& src, const Scalar& sc, GpuMat& dst, const GpuMat& mask, int dtype, Stream& s)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb& src1, double val, const PtrStepSzb& dst, const PtrStepb& mask, cudaStream_t stream);
    static const func_t funcs[7][7] =
    {
        {subtract_gpu<unsigned char, unsigned char>       , 0 /*subtract_gpu<unsigned char, signed char>*/ , subtract_gpu<unsigned char, unsigned short>    , subtract_gpu<unsigned char, short>       , subtract_gpu<unsigned char, int>    , subtract_gpu<unsigned char, float>    , subtract_gpu<unsigned char, double>    },
        {0 /*subtract_gpu<signed char, unsigned char>*/   , 0 /*subtract_gpu<signed char, signed char>*/   , 0 /*subtract_gpu<signed char, unsigned short>*/, 0 /*subtract_gpu<signed char, short>*/   , 0 /*subtract_gpu<signed char, int>*/, 0 /*subtract_gpu<signed char, float>*/, 0 /*subtract_gpu<signed char, double>*/},
        {0 /*subtract_gpu<unsigned short, unsigned char>*/, 0 /*subtract_gpu<unsigned short, signed char>*/, subtract_gpu<unsigned short, unsigned short>   , 0 /*subtract_gpu<unsigned short, short>*/, subtract_gpu<unsigned short, int>   , subtract_gpu<unsigned short, float>   , subtract_gpu<unsigned short, double>   },
        {0 /*subtract_gpu<short, unsigned char>*/         , 0 /*subtract_gpu<short, signed char>*/         , 0 /*subtract_gpu<short, unsigned short>*/      , subtract_gpu<short, short>               , subtract_gpu<short, int>            , subtract_gpu<short, float>            , subtract_gpu<short, double>            },
        {0 /*subtract_gpu<int, unsigned char>*/           , 0 /*subtract_gpu<int, signed char>*/           , 0 /*subtract_gpu<int, unsigned short>*/        , 0 /*subtract_gpu<int, short>*/           , subtract_gpu<int, int>              , subtract_gpu<int, float>              , subtract_gpu<int, double>              },
        {0 /*subtract_gpu<float, unsigned char>*/         , 0 /*subtract_gpu<float, signed char>*/         , 0 /*subtract_gpu<float, unsigned short>*/      , 0 /*subtract_gpu<float, short>*/         , 0 /*subtract_gpu<float, int>*/      , subtract_gpu<float, float>            , subtract_gpu<float, double>            },
        {0 /*subtract_gpu<double, unsigned char>*/        , 0 /*subtract_gpu<double, signed char>*/        , 0 /*subtract_gpu<double, unsigned short>*/     , 0 /*subtract_gpu<double, short>*/        , 0 /*subtract_gpu<double, int>*/     , 0 /*subtract_gpu<double, float>*/     , subtract_gpu<double, double>           }
    };

    typedef void (*npp_func_t)(const PtrStepSzb src, Scalar sc, PtrStepb dst, cudaStream_t stream);
    static const npp_func_t npp_funcs[7][4] =
    {
        {NppArithmScalar<CV_8U , 1, nppiSubC_8u_C1RSfs >::call, 0                                                     , NppArithmScalar<CV_8U , 3, nppiSubC_8u_C3RSfs >::call, NppArithmScalar<CV_8U , 4, nppiSubC_8u_C4RSfs >::call},
        {0                                                    , 0                                                     , 0                                                    , 0                                                    },
        {NppArithmScalar<CV_16U, 1, nppiSubC_16u_C1RSfs>::call, 0                                                     , NppArithmScalar<CV_16U, 3, nppiSubC_16u_C3RSfs>::call, NppArithmScalar<CV_16U, 4, nppiSubC_16u_C4RSfs>::call},
        {NppArithmScalar<CV_16S, 1, nppiSubC_16s_C1RSfs>::call, NppArithmScalar<CV_16S, 2, nppiSubC_16sc_C1RSfs>::call, NppArithmScalar<CV_16S, 3, nppiSubC_16s_C3RSfs>::call, NppArithmScalar<CV_16S, 4, nppiSubC_16s_C4RSfs>::call},
        {NppArithmScalar<CV_32S, 1, nppiSubC_32s_C1RSfs>::call, NppArithmScalar<CV_32S, 2, nppiSubC_32sc_C1RSfs>::call, NppArithmScalar<CV_32S, 3, nppiSubC_32s_C3RSfs>::call, 0                                                    },
        {NppArithmScalar<CV_32F, 1, nppiSubC_32f_C1R   >::call, NppArithmScalar<CV_32F, 2, nppiSubC_32fc_C1R   >::call, NppArithmScalar<CV_32F, 3, nppiSubC_32f_C3R   >::call, NppArithmScalar<CV_32F, 4, nppiSubC_32f_C4R   >::call},
        {0                                                    , 0                                                     , 0                                                    , 0                                                    }
    };

    if (dtype < 0)
        dtype = src.depth();

    CV_Assert(src.depth() <= CV_64F && CV_MAT_DEPTH(dtype) <= CV_64F);
    CV_Assert(src.channels() <= 4);
    CV_Assert(mask.empty() || (src.channels() == 1 && mask.size() == src.size() && mask.type() == CV_8U));

    if (src.depth() == CV_64F || CV_MAT_DEPTH(dtype) == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src.size(), CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), src.channels()));

    cudaStream_t stream = StreamAccessor::getStream(s);

    if (mask.empty() && dst.type() == src.type())
    {
        const npp_func_t npp_func = npp_funcs[src.depth()][src.channels() - 1];

        if (npp_func)
        {
            npp_func(src, sc, dst, stream);
            return;
        }
    }

    CV_Assert(src.channels() == 1);

    const func_t func = funcs[src.depth()][dst.depth()];

    if (!func)
        CV_Error(CV_StsUnsupportedFormat, "Unsupported combination of source and destination types");

    func(src, sc.val[0], dst, mask, stream);
}

////////////////////////////////////////////////////////////////////////
// multiply

namespace cv { namespace gpu { namespace device
{
    void multiply_gpu(const PtrStepSz<uchar4>& src1, const PtrStepSzf& src2, const PtrStepSz<uchar4>& dst, cudaStream_t stream);
    void multiply_gpu(const PtrStepSz<short4>& src1, const PtrStepSzf& src2, const PtrStepSz<short4>& dst, cudaStream_t stream);

    template <typename T, typename D>
    void multiply_gpu(const PtrStepSzb& src1, const PtrStepSzb& src2, const PtrStepSzb& dst, double scale, cudaStream_t stream);

    template <typename T, typename D>
    void multiply_gpu(const PtrStepSzb& src1, double val, const PtrStepSzb& dst, double scale, cudaStream_t stream);
}}}

void cv::gpu::multiply(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, double scale, int dtype, Stream& s)
{
    using namespace cv::gpu::device;

    cudaStream_t stream = StreamAccessor::getStream(s);

    if (src1.type() == CV_8UC4 && src2.type() == CV_32FC1)
    {
        CV_Assert(src1.size() == src2.size());

        dst.create(src1.size(), src1.type());

        multiply_gpu(static_cast<PtrStepSz<uchar4> >(src1), static_cast<PtrStepSzf>(src2), static_cast<PtrStepSz<uchar4> >(dst), stream);
    }
    else if (src1.type() == CV_16SC4 && src2.type() == CV_32FC1)
    {
        CV_Assert(src1.size() == src2.size());

        dst.create(src1.size(), src1.type());

        multiply_gpu(static_cast<PtrStepSz<short4> >(src1), static_cast<PtrStepSzf>(src2), static_cast<PtrStepSz<short4> >(dst), stream);
    }
    else
    {
        typedef void (*func_t)(const PtrStepSzb& src1, const PtrStepSzb& src2, const PtrStepSzb& dst, double scale, cudaStream_t stream);
        static const func_t funcs[7][7] =
        {
            {multiply_gpu<unsigned char, unsigned char>       , 0 /*multiply_gpu<unsigned char, signed char>*/ , multiply_gpu<unsigned char, unsigned short>    , multiply_gpu<unsigned char, short>       , multiply_gpu<unsigned char, int>    , multiply_gpu<unsigned char, float>    , multiply_gpu<unsigned char, double>    },
            {0 /*multiply_gpu<signed char, unsigned char>*/   , 0 /*multiply_gpu<signed char, signed char>*/   , 0 /*multiply_gpu<signed char, unsigned short>*/, 0 /*multiply_gpu<signed char, short>*/   , 0 /*multiply_gpu<signed char, int>*/, 0 /*multiply_gpu<signed char, float>*/, 0 /*multiply_gpu<signed char, double>*/},
            {0 /*multiply_gpu<unsigned short, unsigned char>*/, 0 /*multiply_gpu<unsigned short, signed char>*/, multiply_gpu<unsigned short, unsigned short>   , 0 /*multiply_gpu<unsigned short, short>*/, multiply_gpu<unsigned short, int>   , multiply_gpu<unsigned short, float>   , multiply_gpu<unsigned short, double>   },
            {0 /*multiply_gpu<short, unsigned char>*/         , 0 /*multiply_gpu<short, signed char>*/         , 0 /*multiply_gpu<short, unsigned short>*/      , multiply_gpu<short, short>               , multiply_gpu<short, int>            , multiply_gpu<short, float>            , multiply_gpu<short, double>            },
            {0 /*multiply_gpu<int, unsigned char>*/           , 0 /*multiply_gpu<int, signed char>*/           , 0 /*multiply_gpu<int, unsigned short>*/        , 0 /*multiply_gpu<int, short>*/           , multiply_gpu<int, int>              , multiply_gpu<int, float>              , multiply_gpu<int, double>              },
            {0 /*multiply_gpu<float, unsigned char>*/         , 0 /*multiply_gpu<float, signed char>*/         , 0 /*multiply_gpu<float, unsigned short>*/      , 0 /*multiply_gpu<float, short>*/         , 0 /*multiply_gpu<float, int>*/      , multiply_gpu<float, float>            , multiply_gpu<float, double>            },
            {0 /*multiply_gpu<double, unsigned char>*/        , 0 /*multiply_gpu<double, signed char>*/        , 0 /*multiply_gpu<double, unsigned short>*/     , 0 /*multiply_gpu<double, short>*/        , 0 /*multiply_gpu<double, int>*/     , 0 /*multiply_gpu<double, float>*/     , multiply_gpu<double, double>           }
        };

        typedef void (*npp_func_t)(const PtrStepSzb src1, const PtrStepb src2, PtrStepb dst, cudaStream_t stream);
        static const npp_func_t npp_funcs[] =
        {
            NppArithm<CV_8U , nppiMul_8u_C1RSfs >::call,
            0,
            NppArithm<CV_16U, nppiMul_16u_C1RSfs>::call,
            NppArithm<CV_16S, nppiMul_16s_C1RSfs>::call,
            NppArithm<CV_32S, nppiMul_32s_C1RSfs>::call,
            NppArithm<CV_32F, nppiMul_32f_C1R   >::call
        };

        if (dtype < 0)
            dtype = src1.depth();

        CV_Assert(src1.depth() <= CV_64F && CV_MAT_DEPTH(dtype) <= CV_64F);
        CV_Assert(src1.type() == src2.type() && src1.size() == src2.size());

        if (src1.depth() == CV_64F || CV_MAT_DEPTH(dtype) == CV_64F)
        {
            if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
                CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
        }

        dst.create(src1.size(), CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), src1.channels()));

#if (CUDA_VERSION <= 4020)
        if (scale == 1 && dst.type() == src1.type() && src1.depth() <= CV_32F)
#else
        if (scale == 1 && dst.type() == src1.type() && src1.depth() <= CV_32F && src1.depth() > CV_8U)
#endif
        {
            npp_funcs[src1.depth()](src1.reshape(1), src2.reshape(1), dst.reshape(1), stream);
            return;
        }

        const func_t func = funcs[src1.depth()][dst.depth()];

        if (!func)
            CV_Error(CV_StsUnsupportedFormat, "Unsupported combination of source and destination types");

        func(src1.reshape(1), src2.reshape(1), dst.reshape(1), scale, stream);
    }
}

namespace
{
    inline bool isIntScalar(Scalar sc)
    {
        return sc.val[0] == static_cast<int>(sc.val[0]) && sc.val[1] == static_cast<int>(sc.val[1]) && sc.val[2] == static_cast<int>(sc.val[2]) && sc.val[3] == static_cast<int>(sc.val[3]);
    }
}

void cv::gpu::multiply(const GpuMat& src, const Scalar& sc, GpuMat& dst, double scale, int dtype, Stream& s)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb& src1, double val, const PtrStepSzb& dst, double scale, cudaStream_t stream);
    static const func_t funcs[7][7] =
    {
        {multiply_gpu<unsigned char, unsigned char>       , 0 /*multiply_gpu<unsigned char, signed char>*/ , multiply_gpu<unsigned char, unsigned short>    , multiply_gpu<unsigned char, short>       , multiply_gpu<unsigned char, int>    , multiply_gpu<unsigned char, float>    , multiply_gpu<unsigned char, double>    },
        {0 /*multiply_gpu<signed char, unsigned char>*/   , 0 /*multiply_gpu<signed char, signed char>*/   , 0 /*multiply_gpu<signed char, unsigned short>*/, 0 /*multiply_gpu<signed char, short>*/   , 0 /*multiply_gpu<signed char, int>*/, 0 /*multiply_gpu<signed char, float>*/, 0 /*multiply_gpu<signed char, double>*/},
        {0 /*multiply_gpu<unsigned short, unsigned char>*/, 0 /*multiply_gpu<unsigned short, signed char>*/, multiply_gpu<unsigned short, unsigned short>   , 0 /*multiply_gpu<unsigned short, short>*/, multiply_gpu<unsigned short, int>   , multiply_gpu<unsigned short, float>   , multiply_gpu<unsigned short, double>   },
        {0 /*multiply_gpu<short, unsigned char>*/         , 0 /*multiply_gpu<short, signed char>*/         , 0 /*multiply_gpu<short, unsigned short>*/      , multiply_gpu<short, short>               , multiply_gpu<short, int>            , multiply_gpu<short, float>            , multiply_gpu<short, double>            },
        {0 /*multiply_gpu<int, unsigned char>*/           , 0 /*multiply_gpu<int, signed char>*/           , 0 /*multiply_gpu<int, unsigned short>*/        , 0 /*multiply_gpu<int, short>*/           , multiply_gpu<int, int>              , multiply_gpu<int, float>              , multiply_gpu<int, double>              },
        {0 /*multiply_gpu<float, unsigned char>*/         , 0 /*multiply_gpu<float, signed char>*/         , 0 /*multiply_gpu<float, unsigned short>*/      , 0 /*multiply_gpu<float, short>*/         , 0 /*multiply_gpu<float, int>*/      , multiply_gpu<float, float>            , multiply_gpu<float, double>            },
        {0 /*multiply_gpu<double, unsigned char>*/        , 0 /*multiply_gpu<double, signed char>*/        , 0 /*multiply_gpu<double, unsigned short>*/     , 0 /*multiply_gpu<double, short>*/        , 0 /*multiply_gpu<double, int>*/     , 0 /*multiply_gpu<double, float>*/     , multiply_gpu<double, double>           }
    };

    typedef void (*npp_func_t)(const PtrStepSzb src, Scalar sc, PtrStepb dst, cudaStream_t stream);
    static const npp_func_t npp_funcs[7][4] =
    {
        {NppArithmScalar<CV_8U , 1, nppiMulC_8u_C1RSfs >::call, 0, NppArithmScalar<CV_8U , 3, nppiMulC_8u_C3RSfs >::call, NppArithmScalar<CV_8U , 4, nppiMulC_8u_C4RSfs >::call},
        {0                                                    , 0, 0                                                    , 0                                                    },
        {NppArithmScalar<CV_16U, 1, nppiMulC_16u_C1RSfs>::call, 0, NppArithmScalar<CV_16U, 3, nppiMulC_16u_C3RSfs>::call, NppArithmScalar<CV_16U, 4, nppiMulC_16u_C4RSfs>::call},
        {NppArithmScalar<CV_16S, 1, nppiMulC_16s_C1RSfs>::call, 0, NppArithmScalar<CV_16S, 3, nppiMulC_16s_C3RSfs>::call, NppArithmScalar<CV_16S, 4, nppiMulC_16s_C4RSfs>::call},
        {NppArithmScalar<CV_32S, 1, nppiMulC_32s_C1RSfs>::call, 0, NppArithmScalar<CV_32S, 3, nppiMulC_32s_C3RSfs>::call, 0                                                    },
        {NppArithmScalar<CV_32F, 1, nppiMulC_32f_C1R   >::call, 0, NppArithmScalar<CV_32F, 3, nppiMulC_32f_C3R   >::call, NppArithmScalar<CV_32F, 4, nppiMulC_32f_C4R   >::call},
        {0                                                    , 0, 0                                                    , 0                                                    }
    };

    if (dtype < 0)
        dtype = src.depth();

    CV_Assert(src.depth() <= CV_64F && CV_MAT_DEPTH(dtype) <= CV_64F);
    CV_Assert(src.channels() <= 4);

    if (src.depth() == CV_64F || CV_MAT_DEPTH(dtype) == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src.size(), CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), src.channels()));

    cudaStream_t stream = StreamAccessor::getStream(s);

    if (dst.type() == src.type() && scale == 1 && (src.depth() == CV_32F || isIntScalar(sc)))
    {
        const npp_func_t npp_func = npp_funcs[src.depth()][src.channels() - 1];

        if (npp_func)
        {
            npp_func(src, sc, dst, stream);
            return;
        }
    }

    CV_Assert(src.channels() == 1);

    const func_t func = funcs[src.depth()][dst.depth()];

    if (!func)
        CV_Error(CV_StsUnsupportedFormat, "Unsupported combination of source and destination types");

    func(src, sc.val[0], dst, scale, stream);
}

////////////////////////////////////////////////////////////////////////
// divide

namespace cv { namespace gpu { namespace device
{
    void divide_gpu(const PtrStepSz<uchar4>& src1, const PtrStepSzf& src2, const PtrStepSz<uchar4>& dst, cudaStream_t stream);
    void divide_gpu(const PtrStepSz<short4>& src1, const PtrStepSzf& src2, const PtrStepSz<short4>& dst, cudaStream_t stream);

    template <typename T, typename D>
    void divide_gpu(const PtrStepSzb& src1, const PtrStepSzb& src2, const PtrStepSzb& dst, double scale, cudaStream_t stream);

    template <typename T, typename D>
    void divide_gpu(const PtrStepSzb& src1, double val, const PtrStepSzb& dst, double scale, cudaStream_t stream);

    template <typename T, typename D>
    void divide_gpu(double scalar, const PtrStepSzb& src2, const PtrStepSzb& dst, cudaStream_t stream);
}}}

void cv::gpu::divide(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, double scale, int dtype, Stream& s)
{
    using namespace cv::gpu::device;

    cudaStream_t stream = StreamAccessor::getStream(s);

    if (src1.type() == CV_8UC4 && src2.type() == CV_32FC1)
    {
        CV_Assert(src1.size() == src2.size());

        dst.create(src1.size(), src1.type());

        divide_gpu(static_cast<PtrStepSz<uchar4> >(src1), static_cast<PtrStepSzf>(src2), static_cast<PtrStepSz<uchar4> >(dst), stream);
    }
    else if (src1.type() == CV_16SC4 && src2.type() == CV_32FC1)
    {
        CV_Assert(src1.size() == src2.size());

        dst.create(src1.size(), src1.type());

        divide_gpu(static_cast<PtrStepSz<short4> >(src1), static_cast<PtrStepSzf>(src2), static_cast<PtrStepSz<short4> >(dst), stream);
    }
    else
    {
        typedef void (*func_t)(const PtrStepSzb& src1, const PtrStepSzb& src2, const PtrStepSzb& dst, double scale, cudaStream_t stream);
        static const func_t funcs[7][7] =
        {
            {divide_gpu<unsigned char, unsigned char>       , 0 /*divide_gpu<unsigned char, signed char>*/ , divide_gpu<unsigned char, unsigned short>    , divide_gpu<unsigned char, short>       , divide_gpu<unsigned char, int>    , divide_gpu<unsigned char, float>    , divide_gpu<unsigned char, double>    },
            {0 /*divide_gpu<signed char, unsigned char>*/   , 0 /*divide_gpu<signed char, signed char>*/   , 0 /*divide_gpu<signed char, unsigned short>*/, 0 /*divide_gpu<signed char, short>*/   , 0 /*divide_gpu<signed char, int>*/, 0 /*divide_gpu<signed char, float>*/, 0 /*divide_gpu<signed char, double>*/},
            {0 /*divide_gpu<unsigned short, unsigned char>*/, 0 /*divide_gpu<unsigned short, signed char>*/, divide_gpu<unsigned short, unsigned short>   , 0 /*divide_gpu<unsigned short, short>*/, divide_gpu<unsigned short, int>   , divide_gpu<unsigned short, float>   , divide_gpu<unsigned short, double>   },
            {0 /*divide_gpu<short, unsigned char>*/         , 0 /*divide_gpu<short, signed char>*/         , 0 /*divide_gpu<short, unsigned short>*/      , divide_gpu<short, short>               , divide_gpu<short, int>            , divide_gpu<short, float>            , divide_gpu<short, double>            },
            {0 /*divide_gpu<int, unsigned char>*/           , 0 /*divide_gpu<int, signed char>*/           , 0 /*divide_gpu<int, unsigned short>*/        , 0 /*divide_gpu<int, short>*/           , divide_gpu<int, int>              , divide_gpu<int, float>              , divide_gpu<int, double>              },
            {0 /*divide_gpu<float, unsigned char>*/         , 0 /*divide_gpu<float, signed char>*/         , 0 /*divide_gpu<float, unsigned short>*/      , 0 /*divide_gpu<float, short>*/         , 0 /*divide_gpu<float, int>*/      , divide_gpu<float, float>            , divide_gpu<float, double>            },
            {0 /*divide_gpu<double, unsigned char>*/        , 0 /*divide_gpu<double, signed char>*/        , 0 /*divide_gpu<double, unsigned short>*/     , 0 /*divide_gpu<double, short>*/        , 0 /*divide_gpu<double, int>*/     , 0 /*divide_gpu<double, float>*/     , divide_gpu<double, double>           }
        };

        typedef void (*npp_func_t)(const PtrStepSzb src1, const PtrStepb src2, PtrStepb dst, cudaStream_t stream);
        static const npp_func_t npp_funcs[6] =
        {
            NppArithm<CV_8U , nppiDiv_8u_C1RSfs >::call,
            0,
            NppArithm<CV_16U, nppiDiv_16u_C1RSfs>::call,
            NppArithm<CV_16S, nppiDiv_16s_C1RSfs>::call,
            NppArithm<CV_32S, nppiDiv_32s_C1RSfs>::call,
            NppArithm<CV_32F, nppiDiv_32f_C1R   >::call
        };

        if (dtype < 0)
            dtype = src1.depth();

        CV_Assert(src1.depth() <= CV_64F && CV_MAT_DEPTH(dtype) <= CV_64F);
        CV_Assert(src1.type() == src2.type() && src1.size() == src2.size());

        if (src1.depth() == CV_64F || CV_MAT_DEPTH(dtype) == CV_64F)
        {
            if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
                CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
        }

        dst.create(src1.size(), CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), src1.channels()));

        if (scale == 1 && dst.type() == src1.type() && src1.depth() <= CV_32F)
        {
            npp_funcs[src1.depth()](src2.reshape(1), src1.reshape(1), dst.reshape(1), stream);
            return;
        }

        const func_t func = funcs[src1.depth()][dst.depth()];

        if (!func)
            CV_Error(CV_StsUnsupportedFormat, "Unsupported combination of source and destination types");

        func(src1.reshape(1), src2.reshape(1), dst.reshape(1), scale, stream);
    }
}

void cv::gpu::divide(const GpuMat& src, const Scalar& sc, GpuMat& dst, double scale, int dtype, Stream& s)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb& src1, double val, const PtrStepSzb& dst, double scale, cudaStream_t stream);
    static const func_t funcs[7][7] =
    {
        {divide_gpu<unsigned char, unsigned char>       , 0 /*divide_gpu<unsigned char, signed char>*/ , divide_gpu<unsigned char, unsigned short>    , divide_gpu<unsigned char, short>       , divide_gpu<unsigned char, int>    , divide_gpu<unsigned char, float>    , divide_gpu<unsigned char, double>    },
        {0 /*divide_gpu<signed char, unsigned char>*/   , 0 /*divide_gpu<signed char, signed char>*/   , 0 /*divide_gpu<signed char, unsigned short>*/, 0 /*divide_gpu<signed char, short>*/   , 0 /*divide_gpu<signed char, int>*/, 0 /*divide_gpu<signed char, float>*/, 0 /*divide_gpu<signed char, double>*/},
        {0 /*divide_gpu<unsigned short, unsigned char>*/, 0 /*divide_gpu<unsigned short, signed char>*/, divide_gpu<unsigned short, unsigned short>   , 0 /*divide_gpu<unsigned short, short>*/, divide_gpu<unsigned short, int>   , divide_gpu<unsigned short, float>   , divide_gpu<unsigned short, double>   },
        {0 /*divide_gpu<short, unsigned char>*/         , 0 /*divide_gpu<short, signed char>*/         , 0 /*divide_gpu<short, unsigned short>*/      , divide_gpu<short, short>               , divide_gpu<short, int>            , divide_gpu<short, float>            , divide_gpu<short, double>            },
        {0 /*divide_gpu<int, unsigned char>*/           , 0 /*divide_gpu<int, signed char>*/           , 0 /*divide_gpu<int, unsigned short>*/        , 0 /*divide_gpu<int, short>*/           , divide_gpu<int, int>              , divide_gpu<int, float>              , divide_gpu<int, double>              },
        {0 /*divide_gpu<float, unsigned char>*/         , 0 /*divide_gpu<float, signed char>*/         , 0 /*divide_gpu<float, unsigned short>*/      , 0 /*divide_gpu<float, short>*/         , 0 /*divide_gpu<float, int>*/      , divide_gpu<float, float>            , divide_gpu<float, double>            },
        {0 /*divide_gpu<double, unsigned char>*/        , 0 /*divide_gpu<double, signed char>*/        , 0 /*divide_gpu<double, unsigned short>*/     , 0 /*divide_gpu<double, short>*/        , 0 /*divide_gpu<double, int>*/     , 0 /*divide_gpu<double, float>*/     , divide_gpu<double, double>           }
    };

    typedef void (*npp_func_t)(const PtrStepSzb src, Scalar sc, PtrStepb dst, cudaStream_t stream);
    static const npp_func_t npp_funcs[7][4] =
    {
        {NppArithmScalar<CV_8U , 1, nppiDivC_8u_C1RSfs >::call, 0, NppArithmScalar<CV_8U , 3, nppiDivC_8u_C3RSfs >::call, NppArithmScalar<CV_8U , 4, nppiDivC_8u_C4RSfs >::call},
        {0                                                    , 0, 0                                                    , 0                                                    },
        {NppArithmScalar<CV_16U, 1, nppiDivC_16u_C1RSfs>::call, 0, NppArithmScalar<CV_16U, 3, nppiDivC_16u_C3RSfs>::call, NppArithmScalar<CV_16U, 4, nppiDivC_16u_C4RSfs>::call},
        {NppArithmScalar<CV_16S, 1, nppiDivC_16s_C1RSfs>::call, 0, NppArithmScalar<CV_16S, 3, nppiDivC_16s_C3RSfs>::call, NppArithmScalar<CV_16S, 4, nppiDivC_16s_C4RSfs>::call},
        {NppArithmScalar<CV_32S, 1, nppiDivC_32s_C1RSfs>::call, 0, NppArithmScalar<CV_32S, 3, nppiDivC_32s_C3RSfs>::call, 0                                                    },
        {NppArithmScalar<CV_32F, 1, nppiDivC_32f_C1R   >::call, 0, NppArithmScalar<CV_32F, 3, nppiDivC_32f_C3R   >::call, NppArithmScalar<CV_32F, 4, nppiDivC_32f_C4R   >::call},
        {0                                                    , 0, 0                                                    , 0                                                    }
    };

    if (dtype < 0)
        dtype = src.depth();

    CV_Assert(src.depth() <= CV_64F && CV_MAT_DEPTH(dtype) <= CV_64F);
    CV_Assert(src.channels() <= 4);

    if (src.depth() == CV_64F || CV_MAT_DEPTH(dtype) == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src.size(), CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), src.channels()));

    cudaStream_t stream = StreamAccessor::getStream(s);

    if (dst.type() == src.type() && scale == 1 && (src.depth() == CV_32F || isIntScalar(sc)))
    {
        const npp_func_t npp_func = npp_funcs[src.depth()][src.channels() - 1];

        if (npp_func)
        {
            npp_func(src, sc, dst, stream);
            return;
        }
    }

    CV_Assert(src.channels() == 1);

    const func_t func = funcs[src.depth()][dst.depth()];

    if (!func)
        CV_Error(CV_StsUnsupportedFormat, "Unsupported combination of source and destination types");

    func(src, sc.val[0], dst, scale, stream);
}

void cv::gpu::divide(double scale, const GpuMat& src, GpuMat& dst, int dtype, Stream& s)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(double scalar, const PtrStepSzb& src2, const PtrStepSzb& dst, cudaStream_t stream);
    static const func_t funcs[7][7] =
    {
        {divide_gpu<unsigned char, unsigned char>       , 0 /*divide_gpu<unsigned char, signed char>*/ , divide_gpu<unsigned char, unsigned short>    , divide_gpu<unsigned char, short>       , divide_gpu<unsigned char, int>    , divide_gpu<unsigned char, float>    , divide_gpu<unsigned char, double>    },
        {0 /*divide_gpu<signed char, unsigned char>*/   , 0 /*divide_gpu<signed char, signed char>*/   , 0 /*divide_gpu<signed char, unsigned short>*/, 0 /*divide_gpu<signed char, short>*/   , 0 /*divide_gpu<signed char, int>*/, 0 /*divide_gpu<signed char, float>*/, 0 /*divide_gpu<signed char, double>*/},
        {0 /*divide_gpu<unsigned short, unsigned char>*/, 0 /*divide_gpu<unsigned short, signed char>*/, divide_gpu<unsigned short, unsigned short>   , 0 /*divide_gpu<unsigned short, short>*/, divide_gpu<unsigned short, int>   , divide_gpu<unsigned short, float>   , divide_gpu<unsigned short, double>   },
        {0 /*divide_gpu<short, unsigned char>*/         , 0 /*divide_gpu<short, signed char>*/         , 0 /*divide_gpu<short, unsigned short>*/      , divide_gpu<short, short>               , divide_gpu<short, int>            , divide_gpu<short, float>            , divide_gpu<short, double>            },
        {0 /*divide_gpu<int, unsigned char>*/           , 0 /*divide_gpu<int, signed char>*/           , 0 /*divide_gpu<int, unsigned short>*/        , 0 /*divide_gpu<int, short>*/           , divide_gpu<int, int>              , divide_gpu<int, float>              , divide_gpu<int, double>              },
        {0 /*divide_gpu<float, unsigned char>*/         , 0 /*divide_gpu<float, signed char>*/         , 0 /*divide_gpu<float, unsigned short>*/      , 0 /*divide_gpu<float, short>*/         , 0 /*divide_gpu<float, int>*/      , divide_gpu<float, float>            , divide_gpu<float, double>            },
        {0 /*divide_gpu<double, unsigned char>*/        , 0 /*divide_gpu<double, signed char>*/        , 0 /*divide_gpu<double, unsigned short>*/     , 0 /*divide_gpu<double, short>*/        , 0 /*divide_gpu<double, int>*/     , 0 /*divide_gpu<double, float>*/     , divide_gpu<double, double>           }
    };

    if (dtype < 0)
        dtype = src.depth();

    CV_Assert(src.depth() <= CV_64F && CV_MAT_DEPTH(dtype) <= CV_64F);
    CV_Assert(src.channels() == 1);

    if (src.depth() == CV_64F || CV_MAT_DEPTH(dtype) == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src.size(), CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), src.channels()));

    cudaStream_t stream = StreamAccessor::getStream(s);

    const func_t func = funcs[src.depth()][dst.depth()];

    if (!func)
        CV_Error(CV_StsUnsupportedFormat, "Unsupported combination of source and destination types");

    func(scale, src, dst, stream);
}

//////////////////////////////////////////////////////////////////////////////
// absdiff

namespace cv { namespace gpu { namespace device
{
    template <typename T>
    void absdiff_gpu(const PtrStepSzb src1, const PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);

    template <typename T>
    void absdiff_gpu(const PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream);
}}}

namespace
{
    template <int DEPTH> struct NppAbsDiffFunc
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* src1, int src1_step, const npp_t* src2, int src2_step, npp_t* dst, int dst_step, NppiSize sz);
    };

    template <int DEPTH, typename NppAbsDiffFunc<DEPTH>::func_t func> struct NppAbsDiff
    {
        typedef typename NppAbsDiffFunc<DEPTH>::npp_t npp_t;

        static void call(const PtrStepSzb src1, const PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

            NppiSize sz;
            sz.width  = src1.cols;
            sz.height = src1.rows;

            nppSafeCall( func((const npp_t*)src1.data, static_cast<int>(src1.step), (const npp_t*)src2.data, static_cast<int>(src2.step),
                              (npp_t*)dst.data, static_cast<int>(dst.step), sz) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };

    template <int DEPTH> struct NppAbsDiffCFunc
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;
        typedef npp_t scalar_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc1, int nSrc1Step, npp_t* pDst,  int nDstStep,  NppiSize oSizeROI, npp_t nConstant);
    };
    template <> struct NppAbsDiffCFunc<CV_16U>
    {
        typedef NppTypeTraits<CV_16U>::npp_t npp_t;
        typedef Npp32u scalar_t;

#if (CUDA_VERSION <= 4020)
        typedef NppStatus (*func_t)(const Npp16u* pSrc1, int nSrc1Step, Npp16u* pDst, int nDstStep, NppiSize oSizeROI, Npp32u nConstant);
#else
        typedef NppStatus (*func_t)(const Npp16u * pSrc1, int nSrc1Step, Npp16u * pDst,  int nDstStep,  NppiSize oSizeROI, Npp16u nConstant);
#endif
    };

    template <int DEPTH, typename NppAbsDiffCFunc<DEPTH>::func_t func> struct NppAbsDiffC
    {
        typedef typename NppAbsDiffCFunc<DEPTH>::npp_t npp_t;
        typedef typename NppAbsDiffCFunc<DEPTH>::scalar_t scalar_t;

        static void call(const PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

            NppiSize sz;
            sz.width  = src1.cols;
            sz.height = src1.rows;

            nppSafeCall( func((const npp_t*)src1.data, static_cast<int>(src1.step),
                              (npp_t*)dst.data, static_cast<int>(dst.step), sz, static_cast<scalar_t>(val)) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
}

void cv::gpu::absdiff(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb src1, const PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
    static const func_t funcs[] =
    {
        NppAbsDiff<CV_8U, nppiAbsDiff_8u_C1R>::call,
        absdiff_gpu<signed char>,
        NppAbsDiff<CV_16U, nppiAbsDiff_16u_C1R>::call,
        absdiff_gpu<short>,
        absdiff_gpu<int>,
        NppAbsDiff<CV_32F, nppiAbsDiff_32f_C1R>::call,
        absdiff_gpu<double>
    };

    CV_Assert(src1.depth() <= CV_64F);
    CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());

    if (src1.depth() == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src1.size(), src1.type());

    funcs[src1.depth()](src1.reshape(1), src2.reshape(1), dst.reshape(1), StreamAccessor::getStream(stream));
}

void cv::gpu::absdiff(const GpuMat& src1, const Scalar& src2, GpuMat& dst, Stream& stream)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream);
    static const func_t funcs[] =
    {
        NppAbsDiffC<CV_8U, nppiAbsDiffC_8u_C1R>::call,
        absdiff_gpu<signed char>,
        NppAbsDiffC<CV_16U, nppiAbsDiffC_16u_C1R>::call,
        absdiff_gpu<short>,
        absdiff_gpu<int>,
        NppAbsDiffC<CV_32F, nppiAbsDiffC_32f_C1R>::call,
        absdiff_gpu<double>
    };

    CV_Assert(src1.depth() <= CV_64F);
    CV_Assert(src1.channels() == 1);

    if (src1.depth() == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src1.size(), src1.type());

    funcs[src1.depth()](src1, src2.val[0], dst, StreamAccessor::getStream(stream));
}

//////////////////////////////////////////////////////////////////////////////
// abs

void cv::gpu::abs(const GpuMat& src, GpuMat& dst, Stream& s)
{
    CV_Assert(src.depth() == CV_16S || src.depth() == CV_32F);

    dst.create(src.size(), src.type());

    cudaStream_t stream = StreamAccessor::getStream(s);

    NppStreamHandler h(stream);

    NppiSize oSizeROI;
    oSizeROI.width = src.cols * src.channels();
    oSizeROI.height = src.rows;

    bool aligned = isAligned(src.data, 16) && isAligned(dst.data, 16);

    if (src.depth() == CV_16S)
    {
        if (aligned && oSizeROI.width % 4 == 0)
        {
            oSizeROI.width /= 4;
            nppSafeCall( nppiAbs_16s_C4R(src.ptr<Npp16s>(), static_cast<int>(src.step), dst.ptr<Npp16s>(), static_cast<int>(dst.step), oSizeROI) );
        }
        else
        {
            nppSafeCall( nppiAbs_16s_C1R(src.ptr<Npp16s>(), static_cast<int>(src.step), dst.ptr<Npp16s>(), static_cast<int>(dst.step), oSizeROI) );
        }
    }
    else
    {
        if (aligned && oSizeROI.width % 4 == 0)
        {
            oSizeROI.width /= 4;
            nppSafeCall( nppiAbs_32f_C4R(src.ptr<Npp32f>(), static_cast<int>(src.step), dst.ptr<Npp32f>(), static_cast<int>(dst.step), oSizeROI) );
        }
        else
        {
            nppSafeCall( nppiAbs_32f_C1R(src.ptr<Npp32f>(), static_cast<int>(src.step), dst.ptr<Npp32f>(), static_cast<int>(dst.step), oSizeROI) );
        }
    }

    if (stream == 0)
        cudaSafeCall( cudaDeviceSynchronize() );
}

//////////////////////////////////////////////////////////////////////////////
// sqr

namespace
{
    template <int DEPTH> struct NppSqrFunc
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc, int nSrcStep, npp_t* pDst, int nDstStep, NppiSize oSizeROI, int nScaleFactor);
    };
    template <> struct NppSqrFunc<CV_32F>
    {
        typedef NppTypeTraits<CV_32F>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc, int nSrcStep, npp_t* pDst, int nDstStep, NppiSize oSizeROI);
    };

    template <int DEPTH, typename NppSqrFunc<DEPTH>::func_t func, typename NppSqrFunc<DEPTH>::func_t func_c4> struct NppSqr
    {
        typedef typename NppSqrFunc<DEPTH>::npp_t npp_t;

        static void call(const GpuMat& src, GpuMat& dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

            NppiSize oSizeROI;
            oSizeROI.width = src.cols * src.channels();
            oSizeROI.height = src.rows;

            bool aligned = isAligned(src.data, 16) && isAligned(dst.data, 16);

            if (aligned && oSizeROI.width % 4 == 0)
            {
                oSizeROI.width /= 4;
                nppSafeCall( func_c4(src.ptr<npp_t>(), static_cast<int>(src.step), dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI, 0) );
            }
            else
            {
                nppSafeCall( func(src.ptr<npp_t>(), static_cast<int>(src.step), dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI, 0) );
            }

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
    template <typename NppSqrFunc<CV_32F>::func_t func, typename NppSqrFunc<CV_32F>::func_t func_c4> struct NppSqr<CV_32F, func, func_c4>
    {
        typedef NppSqrFunc<CV_32F>::npp_t npp_t;

        static void call(const GpuMat& src, GpuMat& dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

            NppiSize oSizeROI;
            oSizeROI.width = src.cols * src.channels();
            oSizeROI.height = src.rows;

            bool aligned = isAligned(src.data, 16) && isAligned(dst.data, 16);

            if (aligned && oSizeROI.width % 4 == 0)
            {
                oSizeROI.width /= 4;
                nppSafeCall( func_c4(src.ptr<npp_t>(), static_cast<int>(src.step), dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI) );
            }
            else
            {
                nppSafeCall( func(src.ptr<npp_t>(), static_cast<int>(src.step), dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI) );
            }

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
}

void cv::gpu::sqr(const GpuMat& src, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const GpuMat& src, GpuMat& dst, cudaStream_t stream);

    static const func_t funcs[] =
    {
        NppSqr<CV_8U, nppiSqr_8u_C1RSfs, nppiSqr_8u_C4RSfs>::call,
        0,
        NppSqr<CV_16U, nppiSqr_16u_C1RSfs, nppiSqr_16u_C4RSfs>::call,
        NppSqr<CV_16S, nppiSqr_16s_C1RSfs, nppiSqr_16s_C4RSfs>::call,
        0,
        NppSqr<CV_32F, nppiSqr_32f_C1R, nppiSqr_32f_C4R>::call
    };

    CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_16S || src.depth() == CV_32F);

    dst.create(src.size(), src.type());

    funcs[src.depth()](src, dst, StreamAccessor::getStream(stream));
}

//////////////////////////////////////////////////////////////////////////////
// sqrt

namespace
{
    template <int DEPTH> struct NppOneSourceFunc
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc, int nSrcStep, npp_t* pDst, int nDstStep, NppiSize oSizeROI, int nScaleFactor);
    };
    template <> struct NppOneSourceFunc<CV_32F>
    {
        typedef NppTypeTraits<CV_32F>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc, int nSrcStep, npp_t* pDst, int nDstStep, NppiSize oSizeROI);
    };

    template <int DEPTH, typename NppOneSourceFunc<DEPTH>::func_t func> struct NppOneSource
    {
        typedef typename NppOneSourceFunc<DEPTH>::npp_t npp_t;

        static void call(const GpuMat& src, GpuMat& dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

            NppiSize oSizeROI;
            oSizeROI.width = src.cols * src.channels();
            oSizeROI.height = src.rows;

            nppSafeCall( func(src.ptr<npp_t>(), static_cast<int>(src.step), dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI, 0) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
    template <typename NppOneSourceFunc<CV_32F>::func_t func> struct NppOneSource<CV_32F, func>
    {
        typedef NppOneSourceFunc<CV_32F>::npp_t npp_t;

        static void call(const GpuMat& src, GpuMat& dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

            NppiSize oSizeROI;
            oSizeROI.width = src.cols * src.channels();
            oSizeROI.height = src.rows;

            nppSafeCall( func(src.ptr<npp_t>(), static_cast<int>(src.step), dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
}

void cv::gpu::sqrt(const GpuMat& src, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const GpuMat& src, GpuMat& dst, cudaStream_t stream);

    static const func_t funcs[] =
    {
        NppOneSource<CV_8U, nppiSqrt_8u_C1RSfs>::call,
        0,
        NppOneSource<CV_16U, nppiSqrt_16u_C1RSfs>::call,
        NppOneSource<CV_16S, nppiSqrt_16s_C1RSfs>::call,
        0,
        NppOneSource<CV_32F, nppiSqrt_32f_C1R>::call
    };

    CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_16S || src.depth() == CV_32F);

    dst.create(src.size(), src.type());

    funcs[src.depth()](src, dst, StreamAccessor::getStream(stream));
}

////////////////////////////////////////////////////////////////////////
// log

void cv::gpu::log(const GpuMat& src, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const GpuMat& src, GpuMat& dst, cudaStream_t stream);

    static const func_t funcs[] =
    {
        NppOneSource<CV_8U, nppiLn_8u_C1RSfs>::call,
        0,
        NppOneSource<CV_16U, nppiLn_16u_C1RSfs>::call,
        NppOneSource<CV_16S, nppiLn_16s_C1RSfs>::call,
        0,
        NppOneSource<CV_32F, nppiLn_32f_C1R>::call
    };

    CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_16S || src.depth() == CV_32F);

    dst.create(src.size(), src.type());

    funcs[src.depth()](src, dst, StreamAccessor::getStream(stream));
}

////////////////////////////////////////////////////////////////////////
// exp

void cv::gpu::exp(const GpuMat& src, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const GpuMat& src, GpuMat& dst, cudaStream_t stream);

    static const func_t funcs[] =
    {
        NppOneSource<CV_8U, nppiExp_8u_C1RSfs>::call,
        0,
        NppOneSource<CV_16U, nppiExp_16u_C1RSfs>::call,
        NppOneSource<CV_16S, nppiExp_16s_C1RSfs>::call,
        0,
        NppOneSource<CV_32F, nppiExp_32f_C1R>::call
    };

    CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_16S || src.depth() == CV_32F);

    dst.create(src.size(), src.type());

    funcs[src.depth()](src, dst, StreamAccessor::getStream(stream));
}

//////////////////////////////////////////////////////////////////////////////
// Comparison of two matrixes

namespace cv { namespace gpu { namespace device
{
    template <typename T> void compare_eq(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
    template <typename T> void compare_ne(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
    template <typename T> void compare_lt(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
    template <typename T> void compare_le(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);

    template <typename T> void compare_eq(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
    template <typename T> void compare_ne(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
    template <typename T> void compare_lt(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
    template <typename T> void compare_le(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
    template <typename T> void compare_gt(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
    template <typename T> void compare_ge(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
}}}

void cv::gpu::compare(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, int cmpop, Stream& stream)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
    static const func_t funcs[7][4] =
    {
        {compare_eq<unsigned char> , compare_ne<unsigned char> , compare_lt<unsigned char> , compare_le<unsigned char> },
        {compare_eq<signed char>   , compare_ne<signed char>   , compare_lt<signed char>   , compare_le<signed char>   },
        {compare_eq<unsigned short>, compare_ne<unsigned short>, compare_lt<unsigned short>, compare_le<unsigned short>},
        {compare_eq<short>         , compare_ne<short>         , compare_lt<short>         , compare_le<short>         },
        {compare_eq<int>           , compare_ne<int>           , compare_lt<int>           , compare_le<int>           },
        {compare_eq<float>         , compare_ne<float>         , compare_lt<float>         , compare_le<float>         },
        {compare_eq<double>        , compare_ne<double>        , compare_lt<double>        , compare_le<double>        }
    };

    CV_Assert(src1.depth() <= CV_64F);
    CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
    CV_Assert(cmpop >= CMP_EQ && cmpop <= CMP_NE);

    if (src1.depth() == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    static const int codes[] =
    {
        0, 2, 3, 2, 3, 1
    };
    const GpuMat* psrc1[] =
    {
        &src1, &src2, &src2, &src1, &src1, &src1
    };
    const GpuMat* psrc2[] =
    {
        &src2, &src1, &src1, &src2, &src2, &src2
    };

    dst.create(src1.size(), CV_MAKE_TYPE(CV_8U, src1.channels()));

    funcs[src1.depth()][codes[cmpop]](psrc1[cmpop]->reshape(1), psrc2[cmpop]->reshape(1), dst.reshape(1), StreamAccessor::getStream(stream));
}

namespace
{
    template <typename T>
    void castScalar(Scalar& sc)
    {
        sc.val[0] = saturate_cast<T>(sc.val[0]);
        sc.val[1] = saturate_cast<T>(sc.val[1]);
        sc.val[2] = saturate_cast<T>(sc.val[2]);
        sc.val[3] = saturate_cast<T>(sc.val[3]);
    }
}

//////////////////////////////////////////////////////////////////////////////
// Unary bitwise logical operations

namespace cv { namespace gpu { namespace device
{
    void bitwiseNotCaller(int rows, int cols, size_t elem_size1, int cn, const PtrStepb src, PtrStepb dst, cudaStream_t stream);

    template <typename T>
    void bitwiseMaskNotCaller(int rows, int cols, int cn, const PtrStepb src, const PtrStepb mask, PtrStepb dst, cudaStream_t stream);
}}}

namespace
{
    void bitwiseNotCaller(const GpuMat& src, GpuMat& dst, cudaStream_t stream)
    {
        dst.create(src.size(), src.type());

        cv::gpu::device::bitwiseNotCaller(src.rows, src.cols, src.elemSize1(), dst.channels(), src, dst, stream);
    }

    void bitwiseNotCaller(const GpuMat& src, GpuMat& dst, const GpuMat& mask, cudaStream_t stream)
    {
        using namespace cv::gpu::device;

        typedef void (*func_t)(int, int, int, const PtrStepb, const PtrStepb, PtrStepb, cudaStream_t);
        static func_t funcs[] =
        {
            bitwiseMaskNotCaller<unsigned char>, bitwiseMaskNotCaller<unsigned char>,
            bitwiseMaskNotCaller<unsigned short>, bitwiseMaskNotCaller<unsigned short>,
            bitwiseMaskNotCaller<unsigned int>, bitwiseMaskNotCaller<unsigned int>,
            bitwiseMaskNotCaller<unsigned int>
        };

        CV_Assert(src.depth() <= CV_64F);
        CV_Assert(mask.type() == CV_8U && mask.size() == src.size());

        dst.create(src.size(), src.type());

        const func_t func = funcs[src.depth()];

        int cn = src.depth() != CV_64F ? src.channels() : src.channels() * (sizeof(double) / sizeof(unsigned int));

        func(src.rows, src.cols, cn, src, mask, dst, stream);
    }
}

void cv::gpu::bitwise_not(const GpuMat& src, GpuMat& dst, const GpuMat& mask, Stream& stream)
{
    if (mask.empty())
        bitwiseNotCaller(src, dst, StreamAccessor::getStream(stream));
    else
        bitwiseNotCaller(src, dst, mask, StreamAccessor::getStream(stream));
}

//////////////////////////////////////////////////////////////////////////////
// Binary bitwise logical operations

namespace cv { namespace gpu { namespace device
{
    void bitwiseOrCaller(int rows, int cols, size_t elem_size1, int cn, const PtrStepb src1, const PtrStepb src2, PtrStepb dst, cudaStream_t stream);

    template <typename T>
    void bitwiseMaskOrCaller(int rows, int cols, int cn, const PtrStepb src1, const PtrStepb src2, const PtrStepb mask, PtrStepb dst, cudaStream_t stream);

    void bitwiseAndCaller(int rows, int cols, size_t elem_size1, int cn, const PtrStepb src1, const PtrStepb src2, PtrStepb dst, cudaStream_t stream);

    template <typename T>
    void bitwiseMaskAndCaller(int rows, int cols, int cn, const PtrStepb src1, const PtrStepb src2, const PtrStepb mask, PtrStepb dst, cudaStream_t stream);

    void bitwiseXorCaller(int rows, int cols, size_t elem_size1, int cn, const PtrStepb src1, const PtrStepb src2, PtrStepb dst, cudaStream_t stream);

    template <typename T>
    void bitwiseMaskXorCaller(int rows, int cols, int cn, const PtrStepb src1, const PtrStepb src2, const PtrStepb mask, PtrStepb dst, cudaStream_t stream);
}}}

namespace
{
    void bitwiseOrCaller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, cudaStream_t stream)
    {
        CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());

        dst.create(src1.size(), src1.type());

        cv::gpu::device::bitwiseOrCaller(dst.rows, dst.cols, dst.elemSize1(), dst.channels(), src1, src2, dst, stream);
    }

    void bitwiseOrCaller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, cudaStream_t stream)
    {
        using namespace cv::gpu::device;

        typedef void (*func_t)(int, int, int, const PtrStepb, const PtrStepb, const PtrStepb, PtrStepb, cudaStream_t);
        static func_t funcs[] =
        {
            bitwiseMaskOrCaller<unsigned char>, bitwiseMaskOrCaller<unsigned char>,
            bitwiseMaskOrCaller<unsigned short>, bitwiseMaskOrCaller<unsigned short>,
            bitwiseMaskOrCaller<unsigned int>, bitwiseMaskOrCaller<unsigned int>,
            bitwiseMaskOrCaller<unsigned int>
        };

        CV_Assert(src1.depth() <= CV_64F);
        CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
        CV_Assert(mask.type() == CV_8U && mask.size() == src1.size());

        dst.create(src1.size(), src1.type());

        const func_t func = funcs[src1.depth()];

        int cn = dst.depth() != CV_64F ? dst.channels() : dst.channels() * (sizeof(double) / sizeof(unsigned int));

        func(dst.rows, dst.cols, cn, src1, src2, mask, dst, stream);
    }


    void bitwiseAndCaller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, cudaStream_t stream)
    {
        CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());

        dst.create(src1.size(), src1.type());

        cv::gpu::device::bitwiseAndCaller(dst.rows, dst.cols, dst.elemSize1(), dst.channels(), src1, src2, dst, stream);
    }

    void bitwiseAndCaller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, cudaStream_t stream)
    {
        using namespace cv::gpu::device;

        typedef void (*func_t)(int, int, int, const PtrStepb, const PtrStepb, const PtrStepb, PtrStepb, cudaStream_t);
        static func_t funcs[] =
        {
            bitwiseMaskAndCaller<unsigned char>, bitwiseMaskAndCaller<unsigned char>,
            bitwiseMaskAndCaller<unsigned short>, bitwiseMaskAndCaller<unsigned short>,
            bitwiseMaskAndCaller<unsigned int>, bitwiseMaskAndCaller<unsigned int>,
            bitwiseMaskAndCaller<unsigned int>
        };

        CV_Assert(src1.depth() <= CV_64F);
        CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
        CV_Assert(mask.type() == CV_8U && mask.size() == src1.size());

        dst.create(src1.size(), src1.type());

        const func_t func = funcs[src1.depth()];

        int cn = dst.depth() != CV_64F ? dst.channels() : dst.channels() * (sizeof(double) / sizeof(unsigned int));

        func(dst.rows, dst.cols, cn, src1, src2, mask, dst, stream);
    }


    void bitwiseXorCaller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, cudaStream_t stream)
    {
        CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());

        dst.create(src1.size(), src1.type());

        cv::gpu::device::bitwiseXorCaller(dst.rows, dst.cols, dst.elemSize1(), dst.channels(), src1, src2, dst, stream);
    }

    void bitwiseXorCaller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, cudaStream_t stream)
    {
        using namespace cv::gpu::device;

        typedef void (*func_t)(int, int, int, const PtrStepb, const PtrStepb, const PtrStepb, PtrStepb, cudaStream_t);
        static func_t funcs[] =
        {
            bitwiseMaskXorCaller<unsigned char>, bitwiseMaskXorCaller<unsigned char>,
            bitwiseMaskXorCaller<unsigned short>, bitwiseMaskXorCaller<unsigned short>,
            bitwiseMaskXorCaller<unsigned int>, bitwiseMaskXorCaller<unsigned int>,
            bitwiseMaskXorCaller<unsigned int>
        };

        CV_Assert(src1.depth() <= CV_64F);
        CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
        CV_Assert(mask.type() == CV_8U && mask.size() == src1.size());

        dst.create(src1.size(), src1.type());

        const func_t func = funcs[src1.depth()];

        int cn = dst.depth() != CV_64F ? dst.channels() : dst.channels() * (sizeof(double) / sizeof(unsigned int));

        func(dst.rows, dst.cols, cn, src1, src2, mask, dst, stream);
    }
}

void cv::gpu::bitwise_or(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, Stream& stream)
{
    if (mask.empty())
        bitwiseOrCaller(src1, src2, dst, StreamAccessor::getStream(stream));
    else
        bitwiseOrCaller(src1, src2, dst, mask, StreamAccessor::getStream(stream));
}

void cv::gpu::bitwise_and(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, Stream& stream)
{
    if (mask.empty())
        bitwiseAndCaller(src1, src2, dst, StreamAccessor::getStream(stream));
    else
        bitwiseAndCaller(src1, src2, dst, mask, StreamAccessor::getStream(stream));
}

void cv::gpu::bitwise_xor(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, Stream& stream)
{
    if (mask.empty())
        bitwiseXorCaller(src1, src2, dst, StreamAccessor::getStream(stream));
    else
        bitwiseXorCaller(src1, src2, dst, mask, StreamAccessor::getStream(stream));
}

namespace
{
    template <int DEPTH, int cn> struct NppBitwiseCFunc
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc1, int nSrc1Step, const npp_t* pConstants, npp_t* pDst, int nDstStep, NppiSize oSizeROI);
    };
    template <int DEPTH> struct NppBitwiseCFunc<DEPTH, 1>
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc1, int nSrc1Step, const npp_t pConstant, npp_t* pDst, int nDstStep, NppiSize oSizeROI);
    };

    template <int DEPTH, int cn, typename NppBitwiseCFunc<DEPTH, cn>::func_t func> struct NppBitwiseC
    {
        typedef typename NppBitwiseCFunc<DEPTH, cn>::npp_t npp_t;

        static void call(const GpuMat& src, Scalar sc, GpuMat& dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

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

            const npp_t pConstants[] = {static_cast<npp_t>(sc.val[0]), static_cast<npp_t>(sc.val[1]), static_cast<npp_t>(sc.val[2]), static_cast<npp_t>(sc.val[3])};

            nppSafeCall( func(src.ptr<npp_t>(), static_cast<int>(src.step), pConstants, dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
    template <int DEPTH, typename NppBitwiseCFunc<DEPTH, 1>::func_t func> struct NppBitwiseC<DEPTH, 1, func>
    {
        typedef typename NppBitwiseCFunc<DEPTH, 1>::npp_t npp_t;

        static void call(const GpuMat& src, Scalar sc, GpuMat& dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

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

            nppSafeCall( func(src.ptr<npp_t>(), static_cast<int>(src.step), static_cast<npp_t>(sc.val[0]), dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
}

void cv::gpu::bitwise_or(const GpuMat& src, const Scalar& sc, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const GpuMat& src, Scalar sc, GpuMat& dst, cudaStream_t stream);
    static const func_t funcs[5][4] =
    {
        {NppBitwiseC<CV_8U , 1, nppiOrC_8u_C1R >::call, 0, NppBitwiseC<CV_8U , 3, nppiOrC_8u_C3R >::call, NppBitwiseC<CV_8U , 4, nppiOrC_8u_C4R >::call},
        {0,0,0,0},
        {NppBitwiseC<CV_16U, 1, nppiOrC_16u_C1R>::call, 0, NppBitwiseC<CV_16U, 3, nppiOrC_16u_C3R>::call, NppBitwiseC<CV_16U, 4, nppiOrC_16u_C4R>::call},
        {0,0,0,0},
        {NppBitwiseC<CV_32S, 1, nppiOrC_32s_C1R>::call, 0, NppBitwiseC<CV_32S, 3, nppiOrC_32s_C3R>::call, NppBitwiseC<CV_32S, 4, nppiOrC_32s_C4R>::call}
    };

    CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32S);
    CV_Assert(src.channels() == 1 || src.channels() == 3 || src.channels() == 4);

    dst.create(src.size(), src.type());

    funcs[src.depth()][src.channels() - 1](src, sc, dst, StreamAccessor::getStream(stream));
}

void cv::gpu::bitwise_and(const GpuMat& src, const Scalar& sc, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const GpuMat& src, Scalar sc, GpuMat& dst, cudaStream_t stream);
    static const func_t funcs[5][4] =
    {
        {NppBitwiseC<CV_8U , 1, nppiAndC_8u_C1R >::call, 0, NppBitwiseC<CV_8U , 3, nppiAndC_8u_C3R >::call, NppBitwiseC<CV_8U , 4, nppiAndC_8u_C4R >::call},
        {0,0,0,0},
        {NppBitwiseC<CV_16U, 1, nppiAndC_16u_C1R>::call, 0, NppBitwiseC<CV_16U, 3, nppiAndC_16u_C3R>::call, NppBitwiseC<CV_16U, 4, nppiAndC_16u_C4R>::call},
        {0,0,0,0},
        {NppBitwiseC<CV_32S, 1, nppiAndC_32s_C1R>::call, 0, NppBitwiseC<CV_32S, 3, nppiAndC_32s_C3R>::call, NppBitwiseC<CV_32S, 4, nppiAndC_32s_C4R>::call}
    };

    CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32S);
    CV_Assert(src.channels() == 1 || src.channels() == 3 || src.channels() == 4);

    dst.create(src.size(), src.type());

    funcs[src.depth()][src.channels() - 1](src, sc, dst, StreamAccessor::getStream(stream));
}

void cv::gpu::bitwise_xor(const GpuMat& src, const Scalar& sc, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const GpuMat& src, Scalar sc, GpuMat& dst, cudaStream_t stream);
    static const func_t funcs[5][4] =
    {
        {NppBitwiseC<CV_8U , 1, nppiXorC_8u_C1R >::call, 0, NppBitwiseC<CV_8U , 3, nppiXorC_8u_C3R >::call, NppBitwiseC<CV_8U , 4, nppiXorC_8u_C4R >::call},
        {0,0,0,0},
        {NppBitwiseC<CV_16U, 1, nppiXorC_16u_C1R>::call, 0, NppBitwiseC<CV_16U, 3, nppiXorC_16u_C3R>::call, NppBitwiseC<CV_16U, 4, nppiXorC_16u_C4R>::call},
        {0,0,0,0},
        {NppBitwiseC<CV_32S, 1, nppiXorC_32s_C1R>::call, 0, NppBitwiseC<CV_32S, 3, nppiXorC_32s_C3R>::call, NppBitwiseC<CV_32S, 4, nppiXorC_32s_C4R>::call}
    };

    CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32S);
    CV_Assert(src.channels() == 1 || src.channels() == 3 || src.channels() == 4);

    dst.create(src.size(), src.type());

    funcs[src.depth()][src.channels() - 1](src, sc, dst, StreamAccessor::getStream(stream));
}

//////////////////////////////////////////////////////////////////////////////
// shift

namespace
{
    template <int DEPTH, int cn> struct NppShiftFunc
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc1, int nSrc1Step, const Npp32u* pConstants, npp_t* pDst,  int nDstStep,  NppiSize oSizeROI);
    };
    template <int DEPTH> struct NppShiftFunc<DEPTH, 1>
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc1, int nSrc1Step, const Npp32u pConstants, npp_t* pDst,  int nDstStep,  NppiSize oSizeROI);
    };

    template <int DEPTH, int cn, typename NppShiftFunc<DEPTH, cn>::func_t func> struct NppShift
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        static void call(const GpuMat& src, Scalar_<Npp32u> sc, GpuMat& dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

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

            nppSafeCall( func(src.ptr<npp_t>(), static_cast<int>(src.step), sc.val, dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
    template <int DEPTH, typename NppShiftFunc<DEPTH, 1>::func_t func> struct NppShift<DEPTH, 1, func>
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        static void call(const GpuMat& src, Scalar_<Npp32u> sc, GpuMat& dst, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

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

            nppSafeCall( func(src.ptr<npp_t>(), static_cast<int>(src.step), sc.val[0], dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
}

void cv::gpu::rshift(const GpuMat& src, Scalar_<int> sc, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const GpuMat& src, Scalar_<Npp32u> sc, GpuMat& dst, cudaStream_t stream);
    static const func_t funcs[5][4] =
    {
        {NppShift<CV_8U , 1, nppiRShiftC_8u_C1R >::call, 0, NppShift<CV_8U , 3, nppiRShiftC_8u_C3R >::call, NppShift<CV_8U , 4, nppiRShiftC_8u_C4R>::call },
        {NppShift<CV_8S , 1, nppiRShiftC_8s_C1R >::call, 0, NppShift<CV_8S , 3, nppiRShiftC_8s_C3R >::call, NppShift<CV_8S , 4, nppiRShiftC_8s_C4R>::call },
        {NppShift<CV_16U, 1, nppiRShiftC_16u_C1R>::call, 0, NppShift<CV_16U, 3, nppiRShiftC_16u_C3R>::call, NppShift<CV_16U, 4, nppiRShiftC_16u_C4R>::call},
        {NppShift<CV_16S, 1, nppiRShiftC_16s_C1R>::call, 0, NppShift<CV_16S, 3, nppiRShiftC_16s_C3R>::call, NppShift<CV_16S, 4, nppiRShiftC_16s_C4R>::call},
        {NppShift<CV_32S, 1, nppiRShiftC_32s_C1R>::call, 0, NppShift<CV_32S, 3, nppiRShiftC_32s_C3R>::call, NppShift<CV_32S, 4, nppiRShiftC_32s_C4R>::call},
    };

    CV_Assert(src.depth() < CV_32F);
    CV_Assert(src.channels() == 1 || src.channels() == 3 || src.channels() == 4);

    dst.create(src.size(), src.type());

    funcs[src.depth()][src.channels() - 1](src, sc, dst, StreamAccessor::getStream(stream));
}

void cv::gpu::lshift(const GpuMat& src, Scalar_<int> sc, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const GpuMat& src, Scalar_<Npp32u> sc, GpuMat& dst, cudaStream_t stream);
    static const func_t funcs[5][4] =
    {
        {NppShift<CV_8U , 1, nppiLShiftC_8u_C1R>::call , 0, NppShift<CV_8U , 3, nppiLShiftC_8u_C3R>::call , NppShift<CV_8U , 4, nppiLShiftC_8u_C4R>::call },
        {0                                             , 0, 0                                             , 0                                             },
        {NppShift<CV_16U, 1, nppiLShiftC_16u_C1R>::call, 0, NppShift<CV_16U, 3, nppiLShiftC_16u_C3R>::call, NppShift<CV_16U, 4, nppiLShiftC_16u_C4R>::call},
        {0                                             , 0, 0                                             , 0                                             },
        {NppShift<CV_32S, 1, nppiLShiftC_32s_C1R>::call, 0, NppShift<CV_32S, 3, nppiLShiftC_32s_C3R>::call, NppShift<CV_32S, 4, nppiLShiftC_32s_C4R>::call},
    };

    CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32S);
    CV_Assert(src.channels() == 1 || src.channels() == 3 || src.channels() == 4);

    dst.create(src.size(), src.type());

    funcs[src.depth()][src.channels() - 1](src, sc, dst, StreamAccessor::getStream(stream));
}

//////////////////////////////////////////////////////////////////////////////
// Minimum and maximum operations

namespace cv { namespace gpu { namespace device
{
    template <typename T> void min_gpu(const PtrStepSzb src1, const PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
    template <typename T> void max_gpu(const PtrStepSzb src1, const PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);

    template <typename T> void min_gpu(const PtrStepSzb src, T val, PtrStepSzb dst, cudaStream_t stream);
    template <typename T> void max_gpu(const PtrStepSzb src, T val, PtrStepSzb dst, cudaStream_t stream);
}}}

void cv::gpu::min(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb src1, const PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
    static const func_t funcs[] =
    {
        min_gpu<unsigned char>,
        min_gpu<signed char>,
        min_gpu<unsigned short>,
        min_gpu<short>,
        min_gpu<int>,
        min_gpu<float>,
        min_gpu<double>
    };

    CV_Assert(src1.depth() <= CV_64F);
    CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());

    if (src1.depth() == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src1.size(), src1.type());

    funcs[src1.depth()](src1.reshape(1), src2.reshape(1), dst.reshape(1), StreamAccessor::getStream(stream));
}

void cv::gpu::max(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb src1, const PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
    static const func_t funcs[] =
    {
        max_gpu<unsigned char>,
        max_gpu<signed char>,
        max_gpu<unsigned short>,
        max_gpu<short>,
        max_gpu<int>,
        max_gpu<float>,
        max_gpu<double>
    };

    CV_Assert(src1.depth() <= CV_64F);
    CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());

    if (src1.depth() == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src1.size(), src1.type());

    funcs[src1.depth()](src1.reshape(1), src2.reshape(1), dst.reshape(1), StreamAccessor::getStream(stream));
}

namespace
{
    template <typename T> void minScalar(const PtrStepSzb src, double val, PtrStepSzb dst, cudaStream_t stream)
    {
        cv::gpu::device::min_gpu(src, saturate_cast<T>(val), dst, stream);
    }

    template <typename T> void maxScalar(const PtrStepSzb src, double val, PtrStepSzb dst, cudaStream_t stream)
    {
        cv::gpu::device::max_gpu(src, saturate_cast<T>(val), dst, stream);
    }
}

void cv::gpu::min(const GpuMat& src, double val, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
    static const func_t funcs[] =
    {
        minScalar<unsigned char>,
        minScalar<signed char>,
        minScalar<unsigned short>,
        minScalar<short>,
        minScalar<int>,
        minScalar<float>,
        minScalar<double>
    };

    CV_Assert(src.depth() <= CV_64F);
    CV_Assert(src.channels() == 1);

    if (src.depth() == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src.size(), src.type());

    funcs[src.depth()](src, val, dst, StreamAccessor::getStream(stream));
}

void cv::gpu::max(const GpuMat& src, double val, GpuMat& dst, Stream& stream)
{
    typedef void (*func_t)(const PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
    static const func_t funcs[] =
    {
        maxScalar<unsigned char>,
        maxScalar<signed char>,
        maxScalar<unsigned short>,
        maxScalar<short>,
        maxScalar<int>,
        maxScalar<float>,
        maxScalar<double>
    };

    CV_Assert(src.depth() <= CV_64F);
    CV_Assert(src.channels() == 1);

    if (src.depth() == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src.size(), src.type());

    funcs[src.depth()](src, val, dst, StreamAccessor::getStream(stream));
}

////////////////////////////////////////////////////////////////////////
// threshold

namespace cv { namespace gpu { namespace device
{
    template <typename T>
    void threshold_gpu(const PtrStepSzb& src, const PtrStepSzb& dst, T thresh, T maxVal, int type, cudaStream_t stream);
}}}

namespace
{
    template <typename T> void threshold_caller(const GpuMat& src, GpuMat& dst, double thresh, double maxVal, int type, cudaStream_t stream)
    {
        cv::gpu::device::threshold_gpu<T>(src, dst, saturate_cast<T>(thresh), saturate_cast<T>(maxVal), type, stream);
    }
}

double cv::gpu::threshold(const GpuMat& src, GpuMat& dst, double thresh, double maxVal, int type, Stream& s)
{
    CV_Assert(src.channels() == 1 && src.depth() <= CV_64F);
    CV_Assert(type <= THRESH_TOZERO_INV);

    if (src.depth() == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src.size(), src.type());

    cudaStream_t stream = StreamAccessor::getStream(s);

    if (src.type() == CV_32FC1 && type == THRESH_TRUNC)
    {
        NppStreamHandler h(stream);

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

        nppSafeCall( nppiThreshold_32f_C1R(src.ptr<Npp32f>(), static_cast<int>(src.step),
            dst.ptr<Npp32f>(), static_cast<int>(dst.step), sz, static_cast<Npp32f>(thresh), NPP_CMP_GREATER) );

        if (stream == 0)
            cudaSafeCall( cudaDeviceSynchronize() );
    }
    else
    {
        typedef void (*func_t)(const GpuMat& src, GpuMat& dst, double thresh, double maxVal, int type, cudaStream_t stream);
        static const func_t funcs[] =
        {
            threshold_caller<unsigned char>, threshold_caller<signed char>,
            threshold_caller<unsigned short>, threshold_caller<short>,
            threshold_caller<int>, threshold_caller<float>, threshold_caller<double>
        };

        if (src.depth() != CV_32F && src.depth() != CV_64F)
        {
            thresh = cvFloor(thresh);
            maxVal = cvRound(maxVal);
        }

        funcs[src.depth()](src, dst, thresh, maxVal, type, stream);
    }

    return thresh;
}

////////////////////////////////////////////////////////////////////////
// pow

namespace cv { namespace gpu { namespace device
{
    template<typename T> void pow_caller(PtrStepSzb src, double power, PtrStepSzb dst, cudaStream_t stream);
}}}

void cv::gpu::pow(const GpuMat& src, double power, GpuMat& dst, Stream& stream)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(PtrStepSzb src, double power, PtrStepSzb dst, cudaStream_t stream);
    static const func_t funcs[] =
    {
        pow_caller<unsigned char>,  pow_caller<signed char>,
        pow_caller<unsigned short>, pow_caller<short>,
        pow_caller<int>, pow_caller<float>, pow_caller<double>
    };

    CV_Assert(src.depth() <= CV_64F);

    if (src.depth() == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src.size(), src.type());

    funcs[src.depth()](src.reshape(1), power, dst.reshape(1), StreamAccessor::getStream(stream));
}

////////////////////////////////////////////////////////////////////////
// alphaComp

namespace
{
    template <int DEPTH> struct NppAlphaCompFunc
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc1, int nSrc1Step, const npp_t* pSrc2, int nSrc2Step, npp_t* pDst, int nDstStep, NppiSize oSizeROI, NppiAlphaOp eAlphaOp);
    };

    template <int DEPTH, typename NppAlphaCompFunc<DEPTH>::func_t func> struct NppAlphaComp
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        static void call(const GpuMat& img1, const GpuMat& img2, GpuMat& dst, NppiAlphaOp eAlphaOp, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

            NppiSize oSizeROI;
            oSizeROI.width = img1.cols;
            oSizeROI.height = img2.rows;

            nppSafeCall( func(img1.ptr<npp_t>(), static_cast<int>(img1.step), img2.ptr<npp_t>(), static_cast<int>(img2.step),
                              dst.ptr<npp_t>(), static_cast<int>(dst.step), oSizeROI, eAlphaOp) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
}

void cv::gpu::alphaComp(const GpuMat& img1, const GpuMat& img2, GpuMat& dst, int alpha_op, Stream& stream)
{
    static const NppiAlphaOp npp_alpha_ops[] = {
        NPPI_OP_ALPHA_OVER,
        NPPI_OP_ALPHA_IN,
        NPPI_OP_ALPHA_OUT,
        NPPI_OP_ALPHA_ATOP,
        NPPI_OP_ALPHA_XOR,
        NPPI_OP_ALPHA_PLUS,
        NPPI_OP_ALPHA_OVER_PREMUL,
        NPPI_OP_ALPHA_IN_PREMUL,
        NPPI_OP_ALPHA_OUT_PREMUL,
        NPPI_OP_ALPHA_ATOP_PREMUL,
        NPPI_OP_ALPHA_XOR_PREMUL,
        NPPI_OP_ALPHA_PLUS_PREMUL,
        NPPI_OP_ALPHA_PREMUL
    };

    typedef void (*func_t)(const GpuMat& img1, const GpuMat& img2, GpuMat& dst, NppiAlphaOp eAlphaOp, cudaStream_t stream);

    static const func_t funcs[] =
    {
        NppAlphaComp<CV_8U, nppiAlphaComp_8u_AC4R>::call,
        0,
        NppAlphaComp<CV_16U, nppiAlphaComp_16u_AC4R>::call,
        0,
        NppAlphaComp<CV_32S, nppiAlphaComp_32s_AC4R>::call,
        NppAlphaComp<CV_32F, nppiAlphaComp_32f_AC4R>::call
    };

    CV_Assert(img1.type() == CV_8UC4 || img1.type() == CV_16UC4 || img1.type() == CV_32SC4 || img1.type() == CV_32FC4);
    CV_Assert(img1.size() == img2.size() && img1.type() == img2.type());

    dst.create(img1.size(), img1.type());

    const func_t func = funcs[img1.depth()];

    func(img1, img2, dst, npp_alpha_ops[alpha_op], StreamAccessor::getStream(stream));
}

////////////////////////////////////////////////////////////////////////
// addWeighted

namespace cv { namespace gpu { namespace device
{
    template <typename T1, typename T2, typename D>
    void addWeighted_gpu(const PtrStepSzb& src1, double alpha, const PtrStepSzb& src2, double beta, double gamma, const PtrStepSzb& dst, cudaStream_t stream);
}}}

void cv::gpu::addWeighted(const GpuMat& src1, double alpha, const GpuMat& src2, double beta, double gamma, GpuMat& dst, int dtype, Stream& stream)
{
    using namespace cv::gpu::device;

    typedef void (*func_t)(const PtrStepSzb& src1, double alpha, const PtrStepSzb& src2, double beta, double gamma, const PtrStepSzb& dst, cudaStream_t stream);

    static const func_t funcs[7][7][7] =
    {
        {
            {
                addWeighted_gpu<unsigned char, unsigned char, unsigned char >,
                addWeighted_gpu<unsigned char, unsigned char, signed char >,
                addWeighted_gpu<unsigned char, unsigned char, unsigned short>,
                addWeighted_gpu<unsigned char, unsigned char, short >,
                addWeighted_gpu<unsigned char, unsigned char, int   >,
                addWeighted_gpu<unsigned char, unsigned char, float >,
                addWeighted_gpu<unsigned char, unsigned char, double>
            },
            {
                addWeighted_gpu<unsigned char, signed char, unsigned char >,
                addWeighted_gpu<unsigned char, signed char, signed char >,
                addWeighted_gpu<unsigned char, signed char, unsigned short>,
                addWeighted_gpu<unsigned char, signed char, short >,
                addWeighted_gpu<unsigned char, signed char, int   >,
                addWeighted_gpu<unsigned char, signed char, float >,
                addWeighted_gpu<unsigned char, signed char, double>
            },
            {
                addWeighted_gpu<unsigned char, unsigned short, unsigned char >,
                addWeighted_gpu<unsigned char, unsigned short, signed char >,
                addWeighted_gpu<unsigned char, unsigned short, unsigned short>,
                addWeighted_gpu<unsigned char, unsigned short, short >,
                addWeighted_gpu<unsigned char, unsigned short, int   >,
                addWeighted_gpu<unsigned char, unsigned short, float >,
                addWeighted_gpu<unsigned char, unsigned short, double>
            },
            {
                addWeighted_gpu<unsigned char, short, unsigned char >,
                addWeighted_gpu<unsigned char, short, signed char >,
                addWeighted_gpu<unsigned char, short, unsigned short>,
                addWeighted_gpu<unsigned char, short, short >,
                addWeighted_gpu<unsigned char, short, int   >,
                addWeighted_gpu<unsigned char, short, float >,
                addWeighted_gpu<unsigned char, short, double>
            },
            {
                addWeighted_gpu<unsigned char, int, unsigned char >,
                addWeighted_gpu<unsigned char, int, signed char >,
                addWeighted_gpu<unsigned char, int, unsigned short>,
                addWeighted_gpu<unsigned char, int, short >,
                addWeighted_gpu<unsigned char, int, int   >,
                addWeighted_gpu<unsigned char, int, float >,
                addWeighted_gpu<unsigned char, int, double>
            },
            {
                addWeighted_gpu<unsigned char, float, unsigned char >,
                addWeighted_gpu<unsigned char, float, signed char >,
                addWeighted_gpu<unsigned char, float, unsigned short>,
                addWeighted_gpu<unsigned char, float, short >,
                addWeighted_gpu<unsigned char, float, int   >,
                addWeighted_gpu<unsigned char, float, float >,
                addWeighted_gpu<unsigned char, float, double>
            },
            {
                addWeighted_gpu<unsigned char, double, unsigned char >,
                addWeighted_gpu<unsigned char, double, signed char >,
                addWeighted_gpu<unsigned char, double, unsigned short>,
                addWeighted_gpu<unsigned char, double, short >,
                addWeighted_gpu<unsigned char, double, int   >,
                addWeighted_gpu<unsigned char, double, float >,
                addWeighted_gpu<unsigned char, double, double>
            }
        },
        {
            {
                0/*addWeighted_gpu<signed char, unsigned char, unsigned char >*/,
                0/*addWeighted_gpu<signed char, unsigned char, signed char >*/,
                0/*addWeighted_gpu<signed char, unsigned char, unsigned short>*/,
                0/*addWeighted_gpu<signed char, unsigned char, short >*/,
                0/*addWeighted_gpu<signed char, unsigned char, int   >*/,
                0/*addWeighted_gpu<signed char, unsigned char, float >*/,
                0/*addWeighted_gpu<signed char, unsigned char, double>*/
            },
            {
                addWeighted_gpu<signed char, signed char, unsigned char >,
                addWeighted_gpu<signed char, signed char, signed char >,
                addWeighted_gpu<signed char, signed char, unsigned short>,
                addWeighted_gpu<signed char, signed char, short >,
                addWeighted_gpu<signed char, signed char, int   >,
                addWeighted_gpu<signed char, signed char, float >,
                addWeighted_gpu<signed char, signed char, double>
            },
            {
                addWeighted_gpu<signed char, unsigned short, unsigned char >,
                addWeighted_gpu<signed char, unsigned short, signed char >,
                addWeighted_gpu<signed char, unsigned short, unsigned short>,
                addWeighted_gpu<signed char, unsigned short, short >,
                addWeighted_gpu<signed char, unsigned short, int   >,
                addWeighted_gpu<signed char, unsigned short, float >,
                addWeighted_gpu<signed char, unsigned short, double>
            },
            {
                addWeighted_gpu<signed char, short, unsigned char >,
                addWeighted_gpu<signed char, short, signed char >,
                addWeighted_gpu<signed char, short, unsigned short>,
                addWeighted_gpu<signed char, short, short >,
                addWeighted_gpu<signed char, short, int   >,
                addWeighted_gpu<signed char, short, float >,
                addWeighted_gpu<signed char, short, double>
            },
            {
                addWeighted_gpu<signed char, int, unsigned char >,
                addWeighted_gpu<signed char, int, signed char >,
                addWeighted_gpu<signed char, int, unsigned short>,
                addWeighted_gpu<signed char, int, short >,
                addWeighted_gpu<signed char, int, int   >,
                addWeighted_gpu<signed char, int, float >,
                addWeighted_gpu<signed char, int, double>
            },
            {
                addWeighted_gpu<signed char, float, unsigned char >,
                addWeighted_gpu<signed char, float, signed char >,
                addWeighted_gpu<signed char, float, unsigned short>,
                addWeighted_gpu<signed char, float, short >,
                addWeighted_gpu<signed char, float, int   >,
                addWeighted_gpu<signed char, float, float >,
                addWeighted_gpu<signed char, float, double>
            },
            {
                addWeighted_gpu<signed char, double, unsigned char >,
                addWeighted_gpu<signed char, double, signed char >,
                addWeighted_gpu<signed char, double, unsigned short>,
                addWeighted_gpu<signed char, double, short >,
                addWeighted_gpu<signed char, double, int   >,
                addWeighted_gpu<signed char, double, float >,
                addWeighted_gpu<signed char, double, double>
            }
        },
        {
            {
                0/*addWeighted_gpu<unsigned short, unsigned char, unsigned char >*/,
                0/*addWeighted_gpu<unsigned short, unsigned char, signed char >*/,
                0/*addWeighted_gpu<unsigned short, unsigned char, unsigned short>*/,
                0/*addWeighted_gpu<unsigned short, unsigned char, short >*/,
                0/*addWeighted_gpu<unsigned short, unsigned char, int   >*/,
                0/*addWeighted_gpu<unsigned short, unsigned char, float >*/,
                0/*addWeighted_gpu<unsigned short, unsigned char, double>*/
            },
            {
                0/*addWeighted_gpu<unsigned short, signed char, unsigned char >*/,
                0/*addWeighted_gpu<unsigned short, signed char, signed char >*/,
                0/*addWeighted_gpu<unsigned short, signed char, unsigned short>*/,
                0/*addWeighted_gpu<unsigned short, signed char, short >*/,
                0/*addWeighted_gpu<unsigned short, signed char, int   >*/,
                0/*addWeighted_gpu<unsigned short, signed char, float >*/,
                0/*addWeighted_gpu<unsigned short, signed char, double>*/
            },
            {
                addWeighted_gpu<unsigned short, unsigned short, unsigned char >,
                addWeighted_gpu<unsigned short, unsigned short, signed char >,
                addWeighted_gpu<unsigned short, unsigned short, unsigned short>,
                addWeighted_gpu<unsigned short, unsigned short, short >,
                addWeighted_gpu<unsigned short, unsigned short, int   >,
                addWeighted_gpu<unsigned short, unsigned short, float >,
                addWeighted_gpu<unsigned short, unsigned short, double>
            },
            {
                addWeighted_gpu<unsigned short, short, unsigned char >,
                addWeighted_gpu<unsigned short, short, signed char >,
                addWeighted_gpu<unsigned short, short, unsigned short>,
                addWeighted_gpu<unsigned short, short, short >,
                addWeighted_gpu<unsigned short, short, int   >,
                addWeighted_gpu<unsigned short, short, float >,
                addWeighted_gpu<unsigned short, short, double>
            },
            {
                addWeighted_gpu<unsigned short, int, unsigned char >,
                addWeighted_gpu<unsigned short, int, signed char >,
                addWeighted_gpu<unsigned short, int, unsigned short>,
                addWeighted_gpu<unsigned short, int, short >,
                addWeighted_gpu<unsigned short, int, int   >,
                addWeighted_gpu<unsigned short, int, float >,
                addWeighted_gpu<unsigned short, int, double>
            },
            {
                addWeighted_gpu<unsigned short, float, unsigned char >,
                addWeighted_gpu<unsigned short, float, signed char >,
                addWeighted_gpu<unsigned short, float, unsigned short>,
                addWeighted_gpu<unsigned short, float, short >,
                addWeighted_gpu<unsigned short, float, int   >,
                addWeighted_gpu<unsigned short, float, float >,
                addWeighted_gpu<unsigned short, float, double>
            },
            {
                addWeighted_gpu<unsigned short, double, unsigned char >,
                addWeighted_gpu<unsigned short, double, signed char >,
                addWeighted_gpu<unsigned short, double, unsigned short>,
                addWeighted_gpu<unsigned short, double, short >,
                addWeighted_gpu<unsigned short, double, int   >,
                addWeighted_gpu<unsigned short, double, float >,
                addWeighted_gpu<unsigned short, double, double>
            }
        },
        {
            {
                0/*addWeighted_gpu<short, unsigned char, unsigned char >*/,
                0/*addWeighted_gpu<short, unsigned char, signed char >*/,
                0/*addWeighted_gpu<short, unsigned char, unsigned short>*/,
                0/*addWeighted_gpu<short, unsigned char, short >*/,
                0/*addWeighted_gpu<short, unsigned char, int   >*/,
                0/*addWeighted_gpu<short, unsigned char, float >*/,
                0/*addWeighted_gpu<short, unsigned char, double>*/
            },
            {
                0/*addWeighted_gpu<short, signed char, unsigned char >*/,
                0/*addWeighted_gpu<short, signed char, signed char >*/,
                0/*addWeighted_gpu<short, signed char, unsigned short>*/,
                0/*addWeighted_gpu<short, signed char, short >*/,
                0/*addWeighted_gpu<short, signed char, int   >*/,
                0/*addWeighted_gpu<short, signed char, float >*/,
                0/*addWeighted_gpu<short, signed char, double>*/
            },
            {
                0/*addWeighted_gpu<short, unsigned short, unsigned char >*/,
                0/*addWeighted_gpu<short, unsigned short, signed char >*/,
                0/*addWeighted_gpu<short, unsigned short, unsigned short>*/,
                0/*addWeighted_gpu<short, unsigned short, short >*/,
                0/*addWeighted_gpu<short, unsigned short, int   >*/,
                0/*addWeighted_gpu<short, unsigned short, float >*/,
                0/*addWeighted_gpu<short, unsigned short, double>*/
            },
            {
                addWeighted_gpu<short, short, unsigned char >,
                addWeighted_gpu<short, short, signed char >,
                addWeighted_gpu<short, short, unsigned short>,
                addWeighted_gpu<short, short, short >,
                addWeighted_gpu<short, short, int   >,
                addWeighted_gpu<short, short, float >,
                addWeighted_gpu<short, short, double>
            },
            {
                addWeighted_gpu<short, int, unsigned char >,
                addWeighted_gpu<short, int, signed char >,
                addWeighted_gpu<short, int, unsigned short>,
                addWeighted_gpu<short, int, short >,
                addWeighted_gpu<short, int, int   >,
                addWeighted_gpu<short, int, float >,
                addWeighted_gpu<short, int, double>
            },
            {
                addWeighted_gpu<short, float, unsigned char >,
                addWeighted_gpu<short, float, signed char >,
                addWeighted_gpu<short, float, unsigned short>,
                addWeighted_gpu<short, float, short >,
                addWeighted_gpu<short, float, int   >,
                addWeighted_gpu<short, float, float >,
                addWeighted_gpu<short, float, double>
            },
            {
                addWeighted_gpu<short, double, unsigned char >,
                addWeighted_gpu<short, double, signed char >,
                addWeighted_gpu<short, double, unsigned short>,
                addWeighted_gpu<short, double, short >,
                addWeighted_gpu<short, double, int   >,
                addWeighted_gpu<short, double, float >,
                addWeighted_gpu<short, double, double>
            }
        },
        {
            {
                0/*addWeighted_gpu<int, unsigned char, unsigned char >*/,
                0/*addWeighted_gpu<int, unsigned char, signed char >*/,
                0/*addWeighted_gpu<int, unsigned char, unsigned short>*/,
                0/*addWeighted_gpu<int, unsigned char, short >*/,
                0/*addWeighted_gpu<int, unsigned char, int   >*/,
                0/*addWeighted_gpu<int, unsigned char, float >*/,
                0/*addWeighted_gpu<int, unsigned char, double>*/
            },
            {
                0/*addWeighted_gpu<int, signed char, unsigned char >*/,
                0/*addWeighted_gpu<int, signed char, signed char >*/,
                0/*addWeighted_gpu<int, signed char, unsigned short>*/,
                0/*addWeighted_gpu<int, signed char, short >*/,
                0/*addWeighted_gpu<int, signed char, int   >*/,
                0/*addWeighted_gpu<int, signed char, float >*/,
                0/*addWeighted_gpu<int, signed char, double>*/
            },
            {
                0/*addWeighted_gpu<int, unsigned short, unsigned char >*/,
                0/*addWeighted_gpu<int, unsigned short, signed char >*/,
                0/*addWeighted_gpu<int, unsigned short, unsigned short>*/,
                0/*addWeighted_gpu<int, unsigned short, short >*/,
                0/*addWeighted_gpu<int, unsigned short, int   >*/,
                0/*addWeighted_gpu<int, unsigned short, float >*/,
                0/*addWeighted_gpu<int, unsigned short, double>*/
            },
            {
                0/*addWeighted_gpu<int, short, unsigned char >*/,
                0/*addWeighted_gpu<int, short, signed char >*/,
                0/*addWeighted_gpu<int, short, unsigned short>*/,
                0/*addWeighted_gpu<int, short, short >*/,
                0/*addWeighted_gpu<int, short, int   >*/,
                0/*addWeighted_gpu<int, short, float >*/,
                0/*addWeighted_gpu<int, short, double>*/
            },
            {
                addWeighted_gpu<int, int, unsigned char >,
                addWeighted_gpu<int, int, signed char >,
                addWeighted_gpu<int, int, unsigned short>,
                addWeighted_gpu<int, int, short >,
                addWeighted_gpu<int, int, int   >,
                addWeighted_gpu<int, int, float >,
                addWeighted_gpu<int, int, double>
            },
            {
                addWeighted_gpu<int, float, unsigned char >,
                addWeighted_gpu<int, float, signed char >,
                addWeighted_gpu<int, float, unsigned short>,
                addWeighted_gpu<int, float, short >,
                addWeighted_gpu<int, float, int   >,
                addWeighted_gpu<int, float, float >,
                addWeighted_gpu<int, float, double>
            },
            {
                addWeighted_gpu<int, double, unsigned char >,
                addWeighted_gpu<int, double, signed char >,
                addWeighted_gpu<int, double, unsigned short>,
                addWeighted_gpu<int, double, short >,
                addWeighted_gpu<int, double, int   >,
                addWeighted_gpu<int, double, float >,
                addWeighted_gpu<int, double, double>
            }
        },
        {
            {
                0/*addWeighted_gpu<float, unsigned char, unsigned char >*/,
                0/*addWeighted_gpu<float, unsigned char, signed char >*/,
                0/*addWeighted_gpu<float, unsigned char, unsigned short>*/,
                0/*addWeighted_gpu<float, unsigned char, short >*/,
                0/*addWeighted_gpu<float, unsigned char, int   >*/,
                0/*addWeighted_gpu<float, unsigned char, float >*/,
                0/*addWeighted_gpu<float, unsigned char, double>*/
            },
            {
                0/*addWeighted_gpu<float, signed char, unsigned char >*/,
                0/*addWeighted_gpu<float, signed char, signed char >*/,
                0/*addWeighted_gpu<float, signed char, unsigned short>*/,
                0/*addWeighted_gpu<float, signed char, short >*/,
                0/*addWeighted_gpu<float, signed char, int   >*/,
                0/*addWeighted_gpu<float, signed char, float >*/,
                0/*addWeighted_gpu<float, signed char, double>*/
            },
            {
                0/*addWeighted_gpu<float, unsigned short, unsigned char >*/,
                0/*addWeighted_gpu<float, unsigned short, signed char >*/,
                0/*addWeighted_gpu<float, unsigned short, unsigned short>*/,
                0/*addWeighted_gpu<float, unsigned short, short >*/,
                0/*addWeighted_gpu<float, unsigned short, int   >*/,
                0/*addWeighted_gpu<float, unsigned short, float >*/,
                0/*addWeighted_gpu<float, unsigned short, double>*/
            },
            {
                0/*addWeighted_gpu<float, short, unsigned char >*/,
                0/*addWeighted_gpu<float, short, signed char >*/,
                0/*addWeighted_gpu<float, short, unsigned short>*/,
                0/*addWeighted_gpu<float, short, short >*/,
                0/*addWeighted_gpu<float, short, int   >*/,
                0/*addWeighted_gpu<float, short, float >*/,
                0/*addWeighted_gpu<float, short, double>*/
            },
            {
                0/*addWeighted_gpu<float, int, unsigned char >*/,
                0/*addWeighted_gpu<float, int, signed char >*/,
                0/*addWeighted_gpu<float, int, unsigned short>*/,
                0/*addWeighted_gpu<float, int, short >*/,
                0/*addWeighted_gpu<float, int, int   >*/,
                0/*addWeighted_gpu<float, int, float >*/,
                0/*addWeighted_gpu<float, int, double>*/
            },
            {
                addWeighted_gpu<float, float, unsigned char >,
                addWeighted_gpu<float, float, signed char >,
                addWeighted_gpu<float, float, unsigned short>,
                addWeighted_gpu<float, float, short >,
                addWeighted_gpu<float, float, int   >,
                addWeighted_gpu<float, float, float >,
                addWeighted_gpu<float, float, double>
            },
            {
                addWeighted_gpu<float, double, unsigned char >,
                addWeighted_gpu<float, double, signed char >,
                addWeighted_gpu<float, double, unsigned short>,
                addWeighted_gpu<float, double, short >,
                addWeighted_gpu<float, double, int   >,
                addWeighted_gpu<float, double, float >,
                addWeighted_gpu<float, double, double>
            }
        },
        {
            {
                0/*addWeighted_gpu<double, unsigned char, unsigned char >*/,
                0/*addWeighted_gpu<double, unsigned char, signed char >*/,
                0/*addWeighted_gpu<double, unsigned char, unsigned short>*/,
                0/*addWeighted_gpu<double, unsigned char, short >*/,
                0/*addWeighted_gpu<double, unsigned char, int   >*/,
                0/*addWeighted_gpu<double, unsigned char, float >*/,
                0/*addWeighted_gpu<double, unsigned char, double>*/
            },
            {
                0/*addWeighted_gpu<double, signed char, unsigned char >*/,
                0/*addWeighted_gpu<double, signed char, signed char >*/,
                0/*addWeighted_gpu<double, signed char, unsigned short>*/,
                0/*addWeighted_gpu<double, signed char, short >*/,
                0/*addWeighted_gpu<double, signed char, int   >*/,
                0/*addWeighted_gpu<double, signed char, float >*/,
                0/*addWeighted_gpu<double, signed char, double>*/
            },
            {
                0/*addWeighted_gpu<double, unsigned short, unsigned char >*/,
                0/*addWeighted_gpu<double, unsigned short, signed char >*/,
                0/*addWeighted_gpu<double, unsigned short, unsigned short>*/,
                0/*addWeighted_gpu<double, unsigned short, short >*/,
                0/*addWeighted_gpu<double, unsigned short, int   >*/,
                0/*addWeighted_gpu<double, unsigned short, float >*/,
                0/*addWeighted_gpu<double, unsigned short, double>*/
            },
            {
                0/*addWeighted_gpu<double, short, unsigned char >*/,
                0/*addWeighted_gpu<double, short, signed char >*/,
                0/*addWeighted_gpu<double, short, unsigned short>*/,
                0/*addWeighted_gpu<double, short, short >*/,
                0/*addWeighted_gpu<double, short, int   >*/,
                0/*addWeighted_gpu<double, short, float >*/,
                0/*addWeighted_gpu<double, short, double>*/
            },
            {
                0/*addWeighted_gpu<double, int, unsigned char >*/,
                0/*addWeighted_gpu<double, int, signed char >*/,
                0/*addWeighted_gpu<double, int, unsigned short>*/,
                0/*addWeighted_gpu<double, int, short >*/,
                0/*addWeighted_gpu<double, int, int   >*/,
                0/*addWeighted_gpu<double, int, float >*/,
                0/*addWeighted_gpu<double, int, double>*/
            },
            {
                0/*addWeighted_gpu<double, float, unsigned char >*/,
                0/*addWeighted_gpu<double, float, signed char >*/,
                0/*addWeighted_gpu<double, float, unsigned short>*/,
                0/*addWeighted_gpu<double, float, short >*/,
                0/*addWeighted_gpu<double, float, int   >*/,
                0/*addWeighted_gpu<double, float, float >*/,
                0/*addWeighted_gpu<double, float, double>*/
            },
            {
                addWeighted_gpu<double, double, unsigned char >,
                addWeighted_gpu<double, double, signed char >,
                addWeighted_gpu<double, double, unsigned short>,
                addWeighted_gpu<double, double, short >,
                addWeighted_gpu<double, double, int   >,
                addWeighted_gpu<double, double, float >,
                addWeighted_gpu<double, double, double>
            }
        }
    };

    CV_Assert(src1.size() == src2.size());
    CV_Assert(src1.type() == src2.type() || (dtype >= 0 && src1.channels() == src2.channels()));

    dtype = dtype >= 0 ? CV_MAKETYPE(dtype, src1.channels()) : src1.type();

    CV_Assert(src1.depth() <= CV_64F && src2.depth() <= CV_64F && CV_MAT_DEPTH(dtype) <= CV_64F);

    if (src1.depth() == CV_64F || src2.depth() == CV_64F || CV_MAT_DEPTH(dtype) == CV_64F)
    {
        if (!TargetArchs::builtWith(NATIVE_DOUBLE) || !DeviceInfo().supports(NATIVE_DOUBLE))
            CV_Error(CV_StsUnsupportedFormat, "The device doesn't support double");
    }

    dst.create(src1.size(), dtype);

    const GpuMat* psrc1 = &src1;
    const GpuMat* psrc2 = &src2;

    if (src1.depth() > src2.depth())
    {
        std::swap(psrc1, psrc2);
        std::swap(alpha, beta);
    }

    const func_t func = funcs[psrc1->depth()][psrc2->depth()][dst.depth()];

    if (!func)
        CV_Error(CV_StsUnsupportedFormat, "Unsupported combination of source and destination types");

    func(psrc1->reshape(1), alpha, psrc2->reshape(1), beta, gamma, dst.reshape(1), StreamAccessor::getStream(stream));
}

#endif