Point Cloud Library (PCL)  1.14.1-dev
copygen.hpp
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34 * Author: Anatoly Baskeheev, Itseez Ltd, (myname.mysurname@mycompany.com)
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36 
37 #ifndef PCL_GPU_OCTREE_COPYGE_HPP
38 #define PCL_GPU_OCTREE_COPYGE_HPP
39 
40 #include <pcl/gpu/utils/device/warp.hpp>
41 
42 namespace pcl
43 {
44  namespace device
45  {
46 
47  template <typename T>
48  __device__ void CopyKernel(const T* in, T *out, int length)
49  {
50  int STRIDE = gridDim.x * blockDim.x;
51  for (int idx = (blockIdx.x * blockDim.x) + threadIdx.x; idx < length; idx += STRIDE)
52  {
53  out[idx] = in[idx];
54  }
55  }
56 
57  template <typename T>
58  __device__ void GenerateKernel(T* out, int beg, int end)
59  {
60  int length = end - beg;
61  int pos = beg;
62 
63  int STRIDE = blockDim.x;
64  for (int idx = threadIdx.x; idx < length; idx += STRIDE, pos += STRIDE)
65  {
66  out[idx] = pos + threadIdx.x;
67  }
68  }
69 
70  template <typename T>
71  __device__ void GenerateTasksKernel(T* out, int beg, int end, int level)
72  {
73  int length = end - beg;
74  int pos = beg;
75 
76  int STRIDE = blockDim.x;
77  for (int idx = threadIdx.x; idx < length; idx += STRIDE, pos += STRIDE)
78  {
79  out[idx] = ((pos + threadIdx.x) << 8) + level;
80  }
81  }
82  }
83 }
84 
85 #endif /* PCL_GPU_OCTREE_COPYGE_HPP */
__device__ void CopyKernel(const T *in, T *out, int length)
Definition: copygen.hpp:48
__device__ void GenerateTasksKernel(T *out, int beg, int end, int level)
Definition: copygen.hpp:71
__device__ void GenerateKernel(T *out, int beg, int end)
Definition: copygen.hpp:58