OXIESEC PANEL

Name	Size	Modified	Perms
📁 ..	-	10/28/2024 06:50:34 AM	rwxr-xr-x
📄 block.hpp	8.13 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 border_interpolate.hpp	24.18 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 color.hpp	15.15 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 common.hpp	3.72 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 datamov_utils.hpp	4.61 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 detail	-	10/28/2024 06:50:34 AM	rwxr-xr-x
📄 dynamic_smem.hpp	3.17 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 emulation.hpp	9.79 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 filters.hpp	9.56 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 funcattrib.hpp	3.16 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 functional.hpp	31.4 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 limits.hpp	4.72 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 reduce.hpp	11.56 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 saturate_cast.hpp	9.94 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 scan.hpp	8.77 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 simd_functions.hpp	30.36 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 transform.hpp	3.28 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 type_traits.hpp	4.42 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 utility.hpp	7.8 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 vec_distance.hpp	7.68 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 vec_math.hpp	49.4 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 vec_traits.hpp	13.01 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 warp.hpp	5.04 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 warp_reduce.hpp	3.01 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 warp_shuffle.hpp	5.16 KB	05/12/2017 03:45:27 AM	rw-r--r--

Editing: warp_shuffle.hpp

/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
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//  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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// 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.
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// loss of use, data, or profits; or business interruption) however caused
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//M*/

#ifndef OPENCV_CUDA_WARP_SHUFFLE_HPP
#define OPENCV_CUDA_WARP_SHUFFLE_HPP

/** @file
 * @deprecated Use @ref cudev instead.
 */

//! @cond IGNORED

namespace cv { namespace cuda { namespace device
{
    template <typename T>
    __device__ __forceinline__ T shfl(T val, int srcLane, int width = warpSize)
    {
    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
        return __shfl(val, srcLane, width);
    #else
        return T();
    #endif
    }
    __device__ __forceinline__ unsigned int shfl(unsigned int val, int srcLane, int width = warpSize)
    {
    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
        return (unsigned int) __shfl((int) val, srcLane, width);
    #else
        return 0;
    #endif
    }
    __device__ __forceinline__ double shfl(double val, int srcLane, int width = warpSize)
    {
    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
        int lo = __double2loint(val);
        int hi = __double2hiint(val);

lo = __shfl(lo, srcLane, width);
        hi = __shfl(hi, srcLane, width);

return __hiloint2double(hi, lo);
    #else
        return 0.0;
    #endif
    }

template <typename T>
    __device__ __forceinline__ T shfl_down(T val, unsigned int delta, int width = warpSize)
    {
    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
        return __shfl_down(val, delta, width);
    #else
        return T();
    #endif
    }
    __device__ __forceinline__ unsigned int shfl_down(unsigned int val, unsigned int delta, int width = warpSize)
    {
    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
        return (unsigned int) __shfl_down((int) val, delta, width);
    #else
        return 0;
    #endif
    }
    __device__ __forceinline__ double shfl_down(double val, unsigned int delta, int width = warpSize)
    {
    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
        int lo = __double2loint(val);
        int hi = __double2hiint(val);

lo = __shfl_down(lo, delta, width);
        hi = __shfl_down(hi, delta, width);

return __hiloint2double(hi, lo);
    #else
        return 0.0;
    #endif
    }

template <typename T>
    __device__ __forceinline__ T shfl_up(T val, unsigned int delta, int width = warpSize)
    {
    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
        return __shfl_up(val, delta, width);
    #else
        return T();
    #endif
    }
    __device__ __forceinline__ unsigned int shfl_up(unsigned int val, unsigned int delta, int width = warpSize)
    {
    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
        return (unsigned int) __shfl_up((int) val, delta, width);
    #else
        return 0;
    #endif
    }
    __device__ __forceinline__ double shfl_up(double val, unsigned int delta, int width = warpSize)
    {
    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 300
        int lo = __double2loint(val);
        int hi = __double2hiint(val);

lo = __shfl_up(lo, delta, width);
        hi = __shfl_up(hi, delta, width);

return __hiloint2double(hi, lo);
    #else
        return 0.0;
    #endif
    }
}}}

//! @endcond

#endif // OPENCV_CUDA_WARP_SHUFFLE_HPP