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#include <stddef.h>
#include <iostream>
#include "cuda_shared.hpp"
#include "cuda_runtime.h"

__constant__ float scalar_d[4];

namespace mat_operators
{

    template <typename T, int channels, int count = channels>
    struct unroll
    {
        __device__ static void unroll_set(T * mat, size_t i)
        {
            mat[i] = static_cast<T>(scalar_d[i % channels]);
            unroll<T, channels, count - 1>::unroll_set(mat, i+1);
        }

        __device__ static void unroll_set_with_mask(T * mat, float mask, size_t i)
        {
            mat[i] = mask * static_cast<T>(scalar_d[i % channels]);
            unroll<T, channels, count - 1>::unroll_set_with_mask(mat, mask, i+1);
        }
    };

    template <typename T, int channels>
    struct unroll<T,channels,0>
    {
        __device__ static void unroll_set(T * , size_t){}
        __device__ static void unroll_set_with_mask(T * , float, size_t){}
    };

    template <typename T, int channels>
    __global__ void kernel_set_to_without_mask(T * mat)
    {
        size_t i = (blockIdx.x * blockDim.x + threadIdx.x) * sizeof(T);
        unroll<T, channels>::unroll_set(mat, i);
    }

    template <typename T, int channels>
    __global__ void kernel_set_to_with_mask(T * mat, const float * mask)
    {
        size_t i = (blockIdx.x * blockDim.x + threadIdx.x) * sizeof(T);
        unroll<T, channels>::unroll_set_with_mask(mat, i, mask[i]);
    }
}


extern "C" void cv::gpu::impl::set_to_with_mask(const DevMem2D& mat, const double * scalar, const DevMem2D& mask, int elemSize1, int channels)
{
    // download scalar to constant memory
    float data[4];
    data[0] = scalar[0];
    data[1] = scalar[1];
    data[2] = scalar[2];
    data[3] = scalar[3];
    cudaMemcpyToSymbol(scalar_d, data, sizeof(data));

    dim3 numBlocks(mat.rows * mat.step / 256, 1, 1);
    dim3 threadsPerBlock(256);

    if (channels == 1)
    {
        if (elemSize1 == 1) ::mat_operators::kernel_set_to_with_mask<unsigned char,  1><<<numBlocks,threadsPerBlock>>>(mat.ptr, (float *)mask.ptr);
        if (elemSize1 == 2) ::mat_operators::kernel_set_to_with_mask<unsigned short, 1><<<numBlocks,threadsPerBlock>>>((unsigned short *)mat.ptr, (float *)mask.ptr);
        if (elemSize1 == 4) ::mat_operators::kernel_set_to_with_mask<unsigned int,   1><<<numBlocks,threadsPerBlock>>>((unsigned int *)mat.ptr, (float *)mask.ptr);
    }
    if (channels == 2)
    {
        if (elemSize1 == 1) ::mat_operators::kernel_set_to_with_mask<unsigned char,  2><<<numBlocks,threadsPerBlock>>>(mat.ptr, (float *)mask.ptr);
        if (elemSize1 == 2) ::mat_operators::kernel_set_to_with_mask<unsigned short, 2><<<numBlocks,threadsPerBlock>>>((unsigned short *)mat.ptr, (float *)mask.ptr);
        if (elemSize1 == 4) ::mat_operators::kernel_set_to_with_mask<unsigned int,   2><<<numBlocks,threadsPerBlock>>>((unsigned int *)mat.ptr, (float *)mask.ptr);
    }
    if (channels == 3)
    {
        if (elemSize1 == 1) ::mat_operators::kernel_set_to_with_mask<unsigned char,  3><<<numBlocks,threadsPerBlock>>>(mat.ptr, (float *)mask.ptr);
        if (elemSize1 == 2) ::mat_operators::kernel_set_to_with_mask<unsigned short, 3><<<numBlocks,threadsPerBlock>>>((unsigned short *)mat.ptr, (float *)mask.ptr);
        if (elemSize1 == 4) ::mat_operators::kernel_set_to_with_mask<unsigned int,   3><<<numBlocks,threadsPerBlock>>>((unsigned int *)mat.ptr, (float *)mask.ptr);
    }
}

extern "C" void cv::gpu::impl::set_to_without_mask(const DevMem2D& mat, const double * scalar, int elemSize1, int channels)
{
    float data[4];
    data[0] = scalar[0];
    data[1] = scalar[1];
    data[2] = scalar[2];
    data[3] = scalar[3];
    cudaMemcpyToSymbol(scalar_d, data, sizeof(data));

    int numBlocks = mat.rows * mat.step / 256;

    dim3 threadsPerBlock(256);

    if (channels == 1)
    {
        if (elemSize1 == 1) ::mat_operators::kernel_set_to_without_mask<unsigned char,  1><<<numBlocks,threadsPerBlock>>>(mat.ptr);
        if (elemSize1 == 2) ::mat_operators::kernel_set_to_without_mask<unsigned short, 1><<<numBlocks,threadsPerBlock>>>((unsigned short *)mat.ptr);
        if (elemSize1 == 4) ::mat_operators::kernel_set_to_without_mask<unsigned int,   1><<<numBlocks,threadsPerBlock>>>((unsigned int *)mat.ptr);
    }
    if (channels == 2)
    {
        if (elemSize1 == 1) ::mat_operators::kernel_set_to_without_mask<unsigned char,  2><<<numBlocks,threadsPerBlock>>>(mat.ptr);
        if (elemSize1 == 2) ::mat_operators::kernel_set_to_without_mask<unsigned short, 2><<<numBlocks,threadsPerBlock>>>((unsigned short *)mat.ptr);
        if (elemSize1 == 4) ::mat_operators::kernel_set_to_without_mask<unsigned int,   2><<<numBlocks,threadsPerBlock>>>((unsigned int *)mat.ptr);
    }
    if (channels == 3)
    {
        if (elemSize1 == 1) ::mat_operators::kernel_set_to_without_mask<unsigned char,  3><<<numBlocks,threadsPerBlock>>>(mat.ptr);
        if (elemSize1 == 2) ::mat_operators::kernel_set_to_without_mask<unsigned short, 3><<<numBlocks,threadsPerBlock>>>((unsigned short *)mat.ptr);
        if (elemSize1 == 4) ::mat_operators::kernel_set_to_without_mask<unsigned int,   3><<<numBlocks,threadsPerBlock>>>((unsigned int *)mat.ptr);
    }
}