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experimental kernels for cuda

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Anatoly Baksheev 2011-08-10 09:35:57 +00:00
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commit b535356ec7
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modules/gpu/src/opencv2/gpu/device/kernels.hpp Normal file
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// 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
//
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// Third party copyrights are property of their respective owners.
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//M*/
#ifndef __OPENCV_GPU_KENELRS_HPP__
#define __OPENCV_GPU_KENELRS_HPP__
namespace cv
{
namespace gpu
{
namespace device
{
struct Grid1D
{
static __forceinline__ __device__ int STRIDE() { return gridDim.x * blockDim.x; }
static __forceinline__ __device__ int SHIFT() { return blockIdx.x * blockDim.x + threadIdx.x; }
};
struct Block1D
{
static __forceinline__ __device__ int STRIDE() { return blockDim.x; }
static __forceinline__ __device__ int SHIFT() { return threadIdx.x; }
};
struct Warp
{
static __forceinline__ __device__ int STRIDE() { return warpSize;
static __forceinline__ __device__ int SHIFT() { return threadIdx.x & (warpSize - 1); }
};
template <class Worker, typename T>
__forceinline__ __device__ void Copy(const T* in, T *out, int length)
{
int STRIDE = Worker::STRIDE();
int idx = Worker::SHIFT();
for (; idx < length; idx += STRIDE)
out[idx] = in[idx];
}
template <class Worker, typename ForwardIterator, typename ForwardIterator>
__forceinline__ __device__ void Copy(ForwardIterator beg, ForwardIterator end, OutIter out)
{
int STRIDE = Worker::STRIDE();
int SHIFT = Worker::SHIFT();
beg += SHIFT;
out += SHIFT;
for (; beg < end; beg += STRIDE, out += STRIDE)
*out = *beg;
}
template <class Worker, typename T>
__forceinline__ __device__ void Yota(T* out, int beg, int end)
{
int STRIDE = Worker::STRIDE();
int SHIFT = Worker::SHIFT();
int idx = SHIFT;
int cur = beg + SHIFT;
int length = end - beg;
for (; idx < length; idx += STRIDE, cur += STRIDE)
out[idx] = cur;
}
}
}
}
#endif /* __OPENCV_GPU_KENELRS_HPP__ */