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include/opencv2/core/cuda/warp_reduce.hpp
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include/opencv2/core/cuda/warp_reduce.hpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * The name of the copyright holders may not be used to endorse or promote products
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// This software is provided by the copyright holders and contributors "as is" and
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//M*/
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#ifndef OPENCV_CUDA_WARP_REDUCE_HPP__
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#define OPENCV_CUDA_WARP_REDUCE_HPP__
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/** @file
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* @deprecated Use @ref cudev instead.
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*/
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//! @cond IGNORED
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namespace cv { namespace cuda { namespace device
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{
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template <class T>
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__device__ __forceinline__ T warp_reduce(volatile T *ptr , const unsigned int tid = threadIdx.x)
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{
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const unsigned int lane = tid & 31; // index of thread in warp (0..31)
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if (lane < 16)
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{
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T partial = ptr[tid];
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ptr[tid] = partial = partial + ptr[tid + 16];
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ptr[tid] = partial = partial + ptr[tid + 8];
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ptr[tid] = partial = partial + ptr[tid + 4];
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ptr[tid] = partial = partial + ptr[tid + 2];
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ptr[tid] = partial = partial + ptr[tid + 1];
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}
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return ptr[tid - lane];
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}
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}}} // namespace cv { namespace cuda { namespace cudev {
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//! @endcond
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#endif /* OPENCV_CUDA_WARP_REDUCE_HPP__ */
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