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#pragma once
#ifndef __OPENCV_CUDEV_GRID_REDUCE_TO_ROW_DETAIL_HPP__
#define __OPENCV_CUDEV_GRID_REDUCE_TO_ROW_DETAIL_HPP__
#include "../../common.hpp"
#include "../../util/saturate_cast.hpp"
#include "../../block/reduce.hpp"
namespace cv { namespace cudev {
namespace grid_reduce_to_vec_detail
{
template <class Reductor, int BLOCK_SIZE_X, int BLOCK_SIZE_Y, class SrcPtr, typename ResType, class MaskPtr>
__global__ void reduceToRow(const SrcPtr src, ResType* dst, const MaskPtr mask, const int rows, const int cols)
{
typedef typename Reductor::work_type work_type;
__shared__ work_type smem[BLOCK_SIZE_X * BLOCK_SIZE_Y];
const int x = blockIdx.x * BLOCK_SIZE_X + threadIdx.x;
work_type myVal = Reductor::initialValue();
Reductor op;
if (x < cols)
{
for (int y = threadIdx.y; y < rows; y += BLOCK_SIZE_Y)
{
if (mask(y, x))
{
myVal = op(myVal, saturate_cast<work_type>(src(y, x)));
}
}
}
smem[threadIdx.x * BLOCK_SIZE_Y + threadIdx.y] = myVal;
__syncthreads();
volatile work_type* srow = smem + threadIdx.y * BLOCK_SIZE_X;
myVal = srow[threadIdx.x];
blockReduce<BLOCK_SIZE_X>(srow, myVal, threadIdx.x, op);
if (threadIdx.x == 0)
srow[0] = myVal;
__syncthreads();
if (threadIdx.y == 0 && x < cols)
dst[x] = saturate_cast<ResType>(Reductor::result(smem[threadIdx.x * BLOCK_SIZE_X], rows));
}
template <class Reductor, class SrcPtr, typename ResType, class MaskPtr>
__host__ void reduceToRow(const SrcPtr& src, ResType* dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
{
const int BLOCK_SIZE_X = 16;
const int BLOCK_SIZE_Y = 16;
const dim3 block(BLOCK_SIZE_X, BLOCK_SIZE_Y);
const dim3 grid(divUp(cols, block.x));
reduceToRow<Reductor, BLOCK_SIZE_X, BLOCK_SIZE_Y><<<grid, block, 0, stream>>>(src, dst, mask, rows, cols);
CV_CUDEV_SAFE_CALL( cudaGetLastError() );
if (stream == 0)
CV_CUDEV_SAFE_CALL( cudaDeviceSynchronize() );
}
}
}}
#endif