/*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. // Copyright (C) 2013, OpenCV Foundation, 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 materials 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 // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // 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*/ #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