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42 
43 #ifndef __OPENCV_CUDA_DEVICE_WARP_HPP__
44 #define __OPENCV_CUDA_DEVICE_WARP_HPP__
45 
46 /** @file
47  * @deprecated Use @ref cudev instead.
48  */
49 
50 //! @cond IGNORED
51 
52 namespace cv { namespace cuda { namespace device
53 {
54     struct Warp
55     {
56         enum
57         {
58             LOG_WARP_SIZE = 5,
59             WARP_SIZE     = 1 << LOG_WARP_SIZE,
60             STRIDE        = WARP_SIZE
61         };
62 
63         /** \brief Returns the warp lane ID of the calling thread. */
laneIdcv::cuda::device::Warp64         static __device__ __forceinline__ unsigned int laneId()
65         {
66             unsigned int ret;
67             asm("mov.u32 %0, %laneid;" : "=r"(ret) );
68             return ret;
69         }
70 
71         template<typename It, typename T>
fillcv::cuda::device::Warp72         static __device__ __forceinline__ void fill(It beg, It end, const T& value)
73         {
74             for(It t = beg + laneId(); t < end; t += STRIDE)
75                 *t = value;
76         }
77 
78         template<typename InIt, typename OutIt>
copycv::cuda::device::Warp79         static __device__ __forceinline__ OutIt copy(InIt beg, InIt end, OutIt out)
80         {
81             for(InIt t = beg + laneId(); t < end; t += STRIDE, out += STRIDE)
82                 *out = *t;
83             return out;
84         }
85 
86         template<typename InIt, typename OutIt, class UnOp>
transformcv::cuda::device::Warp87         static __device__ __forceinline__ OutIt transform(InIt beg, InIt end, OutIt out, UnOp op)
88         {
89             for(InIt t = beg + laneId(); t < end; t += STRIDE, out += STRIDE)
90                 *out = op(*t);
91             return out;
92         }
93 
94         template<typename InIt1, typename InIt2, typename OutIt, class BinOp>
transformcv::cuda::device::Warp95         static __device__ __forceinline__ OutIt transform(InIt1 beg1, InIt1 end1, InIt2 beg2, OutIt out, BinOp op)
96         {
97             unsigned int lane = laneId();
98 
99             InIt1 t1 = beg1 + lane;
100             InIt2 t2 = beg2 + lane;
101             for(; t1 < end1; t1 += STRIDE, t2 += STRIDE, out += STRIDE)
102                 *out = op(*t1, *t2);
103             return out;
104         }
105 
106         template <class T, class BinOp>
reducecv::cuda::device::Warp107         static __device__ __forceinline__ T reduce(volatile T *ptr, BinOp op)
108         {
109             const unsigned int lane = laneId();
110 
111             if (lane < 16)
112             {
113                 T partial = ptr[lane];
114 
115                 ptr[lane] = partial = op(partial, ptr[lane + 16]);
116                 ptr[lane] = partial = op(partial, ptr[lane + 8]);
117                 ptr[lane] = partial = op(partial, ptr[lane + 4]);
118                 ptr[lane] = partial = op(partial, ptr[lane + 2]);
119                 ptr[lane] = partial = op(partial, ptr[lane + 1]);
120             }
121 
122             return *ptr;
123         }
124 
125         template<typename OutIt, typename T>
yotacv::cuda::device::Warp126         static __device__ __forceinline__ void yota(OutIt beg, OutIt end, T value)
127         {
128             unsigned int lane = laneId();
129             value += lane;
130 
131             for(OutIt t = beg + lane; t < end; t += STRIDE, value += STRIDE)
132                 *t = value;
133         }
134     };
135 }}} // namespace cv { namespace cuda { namespace cudev
136 
137 //! @endcond
138 
139 #endif /* __OPENCV_CUDA_DEVICE_WARP_HPP__ */
140