| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139 | /*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 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*/#ifndef OPENCV_CUDA_DEVICE_WARP_HPP#define OPENCV_CUDA_DEVICE_WARP_HPP/** @file * @deprecated Use @ref cudev instead. *///! @cond IGNOREDnamespace cv { namespace cuda { namespace device{    struct Warp    {        enum        {            LOG_WARP_SIZE = 5,            WARP_SIZE     = 1 << LOG_WARP_SIZE,            STRIDE        = WARP_SIZE        };        /** \brief Returns the warp lane ID of the calling thread. */        static __device__ __forceinline__ unsigned int laneId()        {            unsigned int ret;            asm("mov.u32 %0, %%laneid;" : "=r"(ret) );            return ret;        }        template<typename It, typename T>        static __device__ __forceinline__ void fill(It beg, It end, const T& value)        {            for(It t = beg + laneId(); t < end; t += STRIDE)                *t = value;        }        template<typename InIt, typename OutIt>        static __device__ __forceinline__ OutIt copy(InIt beg, InIt end, OutIt out)        {            for(InIt t = beg + laneId(); t < end; t += STRIDE, out += STRIDE)                *out = *t;            return out;        }        template<typename InIt, typename OutIt, class UnOp>        static __device__ __forceinline__ OutIt transform(InIt beg, InIt end, OutIt out, UnOp op)        {            for(InIt t = beg + laneId(); t < end; t += STRIDE, out += STRIDE)                *out = op(*t);            return out;        }        template<typename InIt1, typename InIt2, typename OutIt, class BinOp>        static __device__ __forceinline__ OutIt transform(InIt1 beg1, InIt1 end1, InIt2 beg2, OutIt out, BinOp op)        {            unsigned int lane = laneId();            InIt1 t1 = beg1 + lane;            InIt2 t2 = beg2 + lane;            for(; t1 < end1; t1 += STRIDE, t2 += STRIDE, out += STRIDE)                *out = op(*t1, *t2);            return out;        }        template <class T, class BinOp>        static __device__ __forceinline__ T reduce(volatile T *ptr, BinOp op)        {            const unsigned int lane = laneId();            if (lane < 16)            {                T partial = ptr[lane];                ptr[lane] = partial = op(partial, ptr[lane + 16]);                ptr[lane] = partial = op(partial, ptr[lane + 8]);                ptr[lane] = partial = op(partial, ptr[lane + 4]);                ptr[lane] = partial = op(partial, ptr[lane + 2]);                ptr[lane] = partial = op(partial, ptr[lane + 1]);            }            return *ptr;        }        template<typename OutIt, typename T>        static __device__ __forceinline__ void yota(OutIt beg, OutIt end, T value)        {            unsigned int lane = laneId();            value += lane;            for(OutIt t = beg + lane; t < end; t += STRIDE, value += STRIDE)                *t = value;        }    };}}} // namespace cv { namespace cuda { namespace cudev//! @endcond#endif /* OPENCV_CUDA_DEVICE_WARP_HPP */
 |