experimental kernels for cuda
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modules/gpu/src/opencv2/gpu/device/kernels.hpp
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modules/gpu/src/opencv2/gpu/device/kernels.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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//
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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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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef __OPENCV_GPU_KENELRS_HPP__
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#define __OPENCV_GPU_KENELRS_HPP__
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namespace cv
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{
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namespace gpu
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{
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namespace device
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{
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struct Grid1D
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{
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static __forceinline__ __device__ int STRIDE() { return gridDim.x * blockDim.x; }
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static __forceinline__ __device__ int SHIFT() { return blockIdx.x * blockDim.x + threadIdx.x; }
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};
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struct Block1D
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{
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static __forceinline__ __device__ int STRIDE() { return blockDim.x; }
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static __forceinline__ __device__ int SHIFT() { return threadIdx.x; }
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};
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struct Warp
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{
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static __forceinline__ __device__ int STRIDE() { return warpSize;
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static __forceinline__ __device__ int SHIFT() { return threadIdx.x & (warpSize - 1); }
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};
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template <class Worker, typename T>
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__forceinline__ __device__ void Copy(const T* in, T *out, int length)
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{
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int STRIDE = Worker::STRIDE();
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int idx = Worker::SHIFT();
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for (; idx < length; idx += STRIDE)
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out[idx] = in[idx];
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}
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template <class Worker, typename ForwardIterator, typename ForwardIterator>
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__forceinline__ __device__ void Copy(ForwardIterator beg, ForwardIterator end, OutIter out)
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{
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int STRIDE = Worker::STRIDE();
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int SHIFT = Worker::SHIFT();
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beg += SHIFT;
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out += SHIFT;
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for (; beg < end; beg += STRIDE, out += STRIDE)
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*out = *beg;
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}
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template <class Worker, typename T>
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__forceinline__ __device__ void Yota(T* out, int beg, int end)
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{
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int STRIDE = Worker::STRIDE();
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int SHIFT = Worker::SHIFT();
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int idx = SHIFT;
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int cur = beg + SHIFT;
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int length = end - beg;
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for (; idx < length; idx += STRIDE, cur += STRIDE)
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out[idx] = cur;
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}
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}
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}
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}
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#endif /* __OPENCV_GPU_KENELRS_HPP__ */
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