Point Cloud Library (PCL)  1.11.1-dev
device_array.hpp
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36 
37 
38 #ifndef PCL_GPU_CONTAINER_DEVICE_ARRAY_IMPL_HPP_
39 #define PCL_GPU_CONTAINER_DEVICE_ARRAY_IMPL_HPP_
40 
41 
42 namespace pcl
43 {
44 
45 namespace gpu
46 {
47 
48 ///////////////////// Inline implementations of DeviceArray ////////////////////////////////////////////
49 
50 template<class T> inline DeviceArray<T>::DeviceArray() {}
51 template<class T> inline DeviceArray<T>::DeviceArray(std::size_t size) : DeviceMemory(size * elem_size) {}
52 template<class T> inline DeviceArray<T>::DeviceArray(T *ptr, std::size_t size) : DeviceMemory(ptr, size * elem_size) {}
53 template<class T> inline DeviceArray<T>::DeviceArray(const DeviceArray& other) : DeviceMemory(other) {}
54 template<class T> inline DeviceArray<T>& DeviceArray<T>::operator=(const DeviceArray& other)
55 { DeviceMemory::operator=(other); return *this; }
56 
57 template<class T> inline void DeviceArray<T>::create(std::size_t size)
58 { DeviceMemory::create(size * elem_size); }
59 template<class T> inline void DeviceArray<T>::release()
60 { DeviceMemory::release(); }
61 
62 template<class T> inline void DeviceArray<T>::copyTo(DeviceArray& other) const
63 { DeviceMemory::copyTo(other); }
64 template<class T> inline void DeviceArray<T>::upload(const T *host_ptr, std::size_t size)
65 { DeviceMemory::upload(host_ptr, size * elem_size); }
66 template<class T> inline void DeviceArray<T>::download(T *host_ptr) const
67 { DeviceMemory::download( host_ptr ); }
68 
69 template<class T> void DeviceArray<T>::swap(DeviceArray& other_arg) { DeviceMemory::swap(other_arg); }
70 
71 template<class T> inline DeviceArray<T>::operator T*() { return ptr(); }
72 template<class T> inline DeviceArray<T>::operator const T*() const { return ptr(); }
73 template<class T> inline std::size_t DeviceArray<T>::size() const { return sizeBytes() / elem_size; }
74 
75 template<class T> inline T* DeviceArray<T>::ptr() { return DeviceMemory::ptr<T>(); }
76 template<class T> inline const T* DeviceArray<T>::ptr() const { return DeviceMemory::ptr<T>(); }
77 
78 template<class T> template<class A> inline void DeviceArray<T>::upload(const std::vector<T, A>& data) { upload(&data[0], data.size()); }
79 template<class T> template<class A> inline void DeviceArray<T>::download(std::vector<T, A>& data) const { data.resize(size()); if (!data.empty()) download(&data[0]); }
80 
81 ///////////////////// Inline implementations of DeviceArray2D ////////////////////////////////////////////
82 
83 template<class T> inline DeviceArray2D<T>::DeviceArray2D() {}
84 template<class T> inline DeviceArray2D<T>::DeviceArray2D(int rows, int cols) : DeviceMemory2D(rows, cols * elem_size) {}
85 template<class T> inline DeviceArray2D<T>::DeviceArray2D(int rows, int cols, void *data, std::size_t stepBytes) : DeviceMemory2D(rows, cols * elem_size, data, stepBytes) {}
86 template<class T> inline DeviceArray2D<T>::DeviceArray2D(const DeviceArray2D& other) : DeviceMemory2D(other) {}
87 template<class T> inline DeviceArray2D<T>& DeviceArray2D<T>::operator=(const DeviceArray2D& other)
88 { DeviceMemory2D::operator=(other); return *this; }
89 
90 template<class T> inline void DeviceArray2D<T>::create(int rows, int cols)
91 { DeviceMemory2D::create(rows, cols * elem_size); }
92 template<class T> inline void DeviceArray2D<T>::release()
93 { DeviceMemory2D::release(); }
94 
95 template<class T> inline void DeviceArray2D<T>::copyTo(DeviceArray2D& other) const
96 { DeviceMemory2D::copyTo(other); }
97 template<class T> inline void DeviceArray2D<T>::upload(const void *host_ptr, std::size_t host_step, int rows, int cols)
98 { DeviceMemory2D::upload(host_ptr, host_step, rows, cols * elem_size); }
99 template<class T> inline void DeviceArray2D<T>::download(void *host_ptr, std::size_t host_step) const
100 { DeviceMemory2D::download( host_ptr, host_step ); }
101 
102 template<class T> template<class A> inline void DeviceArray2D<T>::upload(const std::vector<T, A>& data, int cols)
103 { upload(&data[0], cols * elem_size, data.size()/cols, cols); }
104 
105 template<class T> template<class A> inline void DeviceArray2D<T>::download(std::vector<T, A>& data, int& elem_step) const
106 { elem_step = cols(); data.resize(cols() * rows()); if (!data.empty()) download(&data[0], colsBytes()); }
107 
108 template<class T> void DeviceArray2D<T>::swap(DeviceArray2D& other_arg) { DeviceMemory2D::swap(other_arg); }
109 
110 template<class T> inline T* DeviceArray2D<T>::ptr(int y) { return DeviceMemory2D::ptr<T>(y); }
111 template<class T> inline const T* DeviceArray2D<T>::ptr(int y) const { return DeviceMemory2D::ptr<T>(y); }
112 
113 template<class T> inline DeviceArray2D<T>::operator T*() { return ptr(); }
114 template<class T> inline DeviceArray2D<T>::operator const T*() const { return ptr(); }
115 
116 template<class T> inline int DeviceArray2D<T>::cols() const { return DeviceMemory2D::colsBytes()/elem_size; }
117 template<class T> inline int DeviceArray2D<T>::rows() const { return DeviceMemory2D::rows(); }
118 
119 template<class T> inline std::size_t DeviceArray2D<T>::elem_step() const { return DeviceMemory2D::step()/elem_size; }
120 
121 } // namespace gpu
122 } // namespace pcl
123 
124 #endif /* PCL_GPU_CONTAINER_DEVICE_ARRAY_IMPL_HPP_ */
125 
pcl
Definition: convolution.h:46
pcl::gpu::DeviceArray2D
DeviceArray2D class
Definition: device_array.h:153
pcl::gpu::DeviceArray::DeviceArray
DeviceArray()
Empty constructor.
Definition: device_array.hpp:50
pcl::gpu::DeviceArray
DeviceArray class
Definition: device_array.h:56
pcl::gpu::DeviceMemory
DeviceMemory class
Definition: device_memory.h:54
pcl::gpu::DeviceMemory2D
DeviceMemory2D class
Definition: device_memory.h:142