warpScanInclusive
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@@ -54,6 +54,14 @@ namespace cv { namespace gpu { namespace device
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return T();
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#endif
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}
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__device__ __forceinline__ unsigned int shfl(unsigned int val, int srcLane, int width = warpSize)
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{
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#if __CUDA_ARCH__ >= 300
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return (unsigned int) __shfl((int) val, srcLane, width);
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#else
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return 0;
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#endif
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}
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__device__ __forceinline__ double shfl(double val, int srcLane, int width = warpSize)
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{
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#if __CUDA_ARCH__ >= 300
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@@ -78,6 +86,14 @@ namespace cv { namespace gpu { namespace device
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return T();
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#endif
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}
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__device__ __forceinline__ unsigned int shfl_down(unsigned int val, unsigned int delta, int width = warpSize)
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{
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#if __CUDA_ARCH__ >= 300
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return (unsigned int) __shfl_down((int) val, delta, width);
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#else
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return 0;
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#endif
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}
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__device__ __forceinline__ double shfl_down(double val, unsigned int delta, int width = warpSize)
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{
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#if __CUDA_ARCH__ >= 300
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@@ -92,6 +108,38 @@ namespace cv { namespace gpu { namespace device
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return 0.0;
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#endif
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}
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template <typename T>
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__device__ __forceinline__ T shfl_up(T val, unsigned int delta, int width = warpSize)
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{
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#if __CUDA_ARCH__ >= 300
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return __shfl_up(val, delta, width);
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#else
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return T();
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#endif
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}
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__device__ __forceinline__ unsigned int shfl_up(unsigned int val, unsigned int delta, int width = warpSize)
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{
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#if __CUDA_ARCH__ >= 300
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return (unsigned int) __shfl_up((int) val, delta, width);
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#else
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return 0;
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#endif
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}
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__device__ __forceinline__ double shfl_up(double val, unsigned int delta, int width = warpSize)
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{
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#if __CUDA_ARCH__ >= 300
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int lo = __double2loint(val);
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int hi = __double2hiint(val);
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lo = __shfl_up(lo, delta, width);
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hi = __shfl_up(hi, delta, width);
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return __hiloint2double(hi, lo);
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#else
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return 0.0;
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#endif
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}
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}}}
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#endif // __OPENCV_GPU_WARP_SHUFFLE_HPP__
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