#include </__w/1/s/gpu/containers/include/pcl/gpu/containers/device_array.h>

Inheritance diagram for pcl::gpu::DeviceArray2D< T >:

Collaboration diagram for pcl::gpu::DeviceArray2D< T >:

Public Types
enum	{ elem_size = sizeof(T) }
	Element size. More...

using	type = T
	Element type. More...

Public Member Functions
	DeviceArray2D ()
	Empty constructor. More...

	DeviceArray2D (int rows, int cols)
	Allocates internal buffer in GPU memory. More...

	DeviceArray2D (int rows, int cols, void *data, std::size_t stepBytes)
	Initializes with user allocated buffer. More...

	DeviceArray2D (const DeviceArray2D &other)
	Copy constructor. More...

DeviceArray2D &	operator= (const DeviceArray2D &other)
	Assignment operator. More...

void	create (int rows, int cols)
	Allocates internal buffer in GPU memory. More...

void	release ()
	Decrements reference counter and releases internal buffer if needed. More...

void	copyTo (DeviceArray2D &other) const
	Performs data copying. More...

void	upload (const void *host_ptr, std::size_t host_step, int rows, int cols)
	Uploads data to internal buffer in GPU memory. More...

void	download (void *host_ptr, std::size_t host_step) const
	Downloads data from internal buffer to CPU memory. More...

void	swap (DeviceArray2D &other_arg)
	Performs swap of data pointed with another device array. More...

template<class A >
void	upload (const std::vector< T, A > &data, int cols)
	Uploads data to internal buffer in GPU memory. More...

template<class A >
void	download (std::vector< T, A > &data, int &cols) const
	Downloads data from internal buffer to CPU memory. More...

T *	ptr (int y=0)
	Returns pointer to given row in internal buffer. More...

const T *	ptr (int y=0) const
	Returns const pointer to given row in internal buffer. More...

	operator T* ()
	Returns pointer for internal buffer in GPU memory. More...

	operator const T * () const
	Returns const pointer for internal buffer in GPU memory. More...

int	cols () const
	Returns number of elements in each row. More...

int	rows () const
	Returns number of rows. More...

std::size_t	elem_step () const
	Returns step in elements. More...

Public Member Functions inherited from pcl::gpu::DeviceMemory2D
	DeviceMemory2D ()
	Empty constructor. More...

	~DeviceMemory2D ()
	Destructor. More...

	DeviceMemory2D (int rows_arg, int colsBytes_arg)
	Allocates internal buffer in GPU memory. More...

	DeviceMemory2D (int rows_arg, int colsBytes_arg, void *data_arg, std::size_t step_arg)
	Initializes with user allocated buffer. More...

	DeviceMemory2D (const DeviceMemory2D &other_arg)
	Copy constructor. More...

DeviceMemory2D &	operator= (const DeviceMemory2D &other_arg)
	Assignment operator. More...

void	create (int rows_arg, int colsBytes_arg)
	Allocates internal buffer in GPU memory. More...

void	release ()
	Decrements reference counter and releases internal buffer if needed. More...

void	copyTo (DeviceMemory2D &other) const
	Performs data copying. More...

void	upload (const void *host_ptr_arg, std::size_t host_step_arg, int rows_arg, int colsBytes_arg)
	Uploads data to internal buffer in GPU memory. More...

void	download (void *host_ptr_arg, std::size_t host_step_arg) const
	Downloads data from internal buffer to CPU memory. More...

void	swap (DeviceMemory2D &other_arg)
	Performs swap of data pointed with another device memory. More...

template<class T >
T *	ptr (int y_arg=0)
	Returns pointer to given row in internal buffer. More...

template<class T >
const T *	ptr (int y_arg=0) const
	Returns constant pointer to given row in internal buffer. More...

template<class U >
	operator PtrStep< U > () const
	Conversion to PtrStep for passing to kernel functions. More...

template<class U >
	operator PtrStepSz< U > () const
	Conversion to PtrStepSz for passing to kernel functions. More...

bool	empty () const
	Returns true if unallocated otherwise false. More...

int	colsBytes () const
	Returns number of bytes in each row. More...

int	rows () const
	Returns number of rows. More...

std::size_t	step () const
	Returns stride between two consecutive rows in bytes for internal buffer. More...

Detailed Description

template<class T>
class pcl::gpu::DeviceArray2D< T >

DeviceArray2D class

Note: Typed container for pitched GPU memory with reference counting.

Author: Anatoly Baksheev

Definition at line 188 of file device_array.h.

Member Typedef Documentation

◆ type

template<class T >

using pcl::gpu::DeviceArray2D< T >::type = T

Element type.

Definition at line 191 of file device_array.h.

Member Enumeration Documentation

◆ anonymous enum

template<class T >

anonymous enum

Element size.

Enumerator
elem_size

Definition at line 194 of file device_array.h.

Constructor & Destructor Documentation

◆ DeviceArray2D() [1/4]

template<class T >

pcl::gpu::DeviceArray2D< T >::DeviceArray2D

inline

Empty constructor.

Definition at line 189 of file device_array.hpp.

◆ DeviceArray2D() [2/4]

template<class T >

pcl::gpu::DeviceArray2D< T >::DeviceArray2D	(	int	rows,
		int	cols
	)

inline

Allocates internal buffer in GPU memory.

Parameters

rows	number of rows to allocate
cols	number of elements in each row

Definition at line 193 of file device_array.hpp.

◆ DeviceArray2D() [3/4]

template<class T >

pcl::gpu::DeviceArray2D< T >::DeviceArray2D	(	int	rows,
		int	cols,
		void *	data,
		std::size_t	stepBytes
	)

inline

Initializes with user allocated buffer.

Reference counting is disabled in this case.

Parameters

rows	number of rows
cols	number of elements in each row
data	pointer to buffer
stepBytes	stride between two consecutive rows in bytes

Definition at line 198 of file device_array.hpp.

◆ DeviceArray2D() [4/4]

template<class T >

pcl::gpu::DeviceArray2D< T >::DeviceArray2D ( const DeviceArray2D< T > & other )

inline

Copy constructor.

Just increments reference counter.

Definition at line 206 of file device_array.hpp.

Member Function Documentation

◆ cols()

template<class T >

int pcl::gpu::DeviceArray2D< T >::cols

inline

Returns number of elements in each row.

Definition at line 310 of file device_array.hpp.

Referenced by pcl::gpu::AsyncCopy< T >::download(), pcl::gpu::TextureBinder::TextureBinder(), and pcl::gpu::AsyncCopy< T >::upload().

◆ copyTo()

template<class T >

void pcl::gpu::DeviceArray2D< T >::copyTo ( DeviceArray2D< T > & other ) const

inline

Performs data copying.

If destination size differs it will be reallocated.

Parameters

other destination container

Definition at line 234 of file device_array.hpp.

References pcl::gpu::DeviceMemory2D::copyTo().

◆ create()

template<class T >

void pcl::gpu::DeviceArray2D< T >::create	(	int	rows,
		int	cols
	)

inline

Allocates internal buffer in GPU memory.

If internal buffer was created before the function recreates it with new size. If new and old sizes are equal it does nothing.

Parameters

rows	number of rows to allocate
cols	number of elements in each row

Definition at line 220 of file device_array.hpp.

References pcl::gpu::DeviceMemory2D::create().

◆ download() [1/2]

template<class T >

template<class A >

void pcl::gpu::DeviceArray2D< T >::download	(	std::vector< T, A > &	data,
		int &	cols
	)		const

inline

Downloads data from internal buffer to CPU memory.

Parameters

data	host vector to download to
cols	Output stride in elements between two consecutive rows for host vector.

Definition at line 267 of file device_array.hpp.

◆ download() [2/2]

template<class T >

void pcl::gpu::DeviceArray2D< T >::download	(	void *	host_ptr,
		std::size_t	host_step
	)		const

inline

Downloads data from internal buffer to CPU memory.

User is responsible for correct host buffer size.

Parameters

host_ptr	pointer to host buffer to download
host_step	stride between two consecutive rows in bytes for host buffer

Definition at line 251 of file device_array.hpp.

References pcl::gpu::DeviceMemory2D::download().

◆ elem_step()

template<class T >

std::size_t pcl::gpu::DeviceArray2D< T >::elem_step

inline

Returns step in elements.

Definition at line 324 of file device_array.hpp.

References pcl::gpu::DeviceMemory2D::step().

◆ operator const T *()

template<class T >

pcl::gpu::DeviceArray2D< T >::operator const T *

inline

Returns const pointer for internal buffer in GPU memory.

Definition at line 303 of file device_array.hpp.

◆ operator T*()

template<class T >

pcl::gpu::DeviceArray2D< T >::operator T*

inline

Returns pointer for internal buffer in GPU memory.

Definition at line 297 of file device_array.hpp.

◆ operator=()

template<class T >

DeviceArray2D< T > & pcl::gpu::DeviceArray2D< T >::operator= ( const DeviceArray2D< T > & other )

inline

Assignment operator.

Just increments reference counter.

Definition at line 212 of file device_array.hpp.

◆ ptr() [1/2]

template<class T >

T * pcl::gpu::DeviceArray2D< T >::ptr ( int y = 0 )

inline

Returns pointer to given row in internal buffer.

Parameters

y row index

Definition at line 284 of file device_array.hpp.

Referenced by pcl::gpu::AsyncCopy< T >::download(), pcl::gpu::TextureBinder::TextureBinder(), and pcl::gpu::AsyncCopy< T >::upload().

◆ ptr() [2/2]

template<class T >

const T * pcl::gpu::DeviceArray2D< T >::ptr ( int y = 0 ) const

inline

Returns const pointer to given row in internal buffer.

Parameters

y row index

Definition at line 291 of file device_array.hpp.

◆ release()

template<class T >

void pcl::gpu::DeviceArray2D< T >::release

inline

Decrements reference counter and releases internal buffer if needed.

Definition at line 227 of file device_array.hpp.

◆ rows()

template<class T >

int pcl::gpu::DeviceArray2D< T >::rows

inline

Returns number of rows.

Definition at line 317 of file device_array.hpp.

References pcl::gpu::DeviceMemory2D::rows().

Referenced by pcl::gpu::AsyncCopy< T >::download(), pcl::gpu::TextureBinder::TextureBinder(), and pcl::gpu::AsyncCopy< T >::upload().

◆ swap()

template<class T >

void pcl::gpu::DeviceArray2D< T >::swap ( DeviceArray2D< T > & other_arg )

Performs swap of data pointed with another device array.

Parameters

other_arg device array to swap with

Definition at line 277 of file device_array.hpp.

◆ upload() [1/2]

template<class T >

template<class A >

void pcl::gpu::DeviceArray2D< T >::upload	(	const std::vector< T, A > &	data,
		int	cols
	)

inline

Uploads data to internal buffer in GPU memory.

It calls create() inside to ensure that internal buffer size is enough.

Parameters

data	host vector to upload from
cols	stride in elements between two consecutive rows for host buffer

Definition at line 259 of file device_array.hpp.

◆ upload() [2/2]

template<class T >

void pcl::gpu::DeviceArray2D< T >::upload	(	const void *	host_ptr,
		std::size_t	host_step,
		int	rows,
		int	cols
	)

inline

Uploads data to internal buffer in GPU memory.

It calls create() inside to ensure that internal buffer size is enough.

Parameters

host_ptr	pointer to host buffer to upload
host_step	stride between two consecutive rows in bytes for host buffer
rows	number of rows to upload
cols	number of elements in each row

Definition at line 241 of file device_array.hpp.

References pcl::gpu::DeviceMemory2D::upload().

The documentation for this class was generated from the following files:

/__w/1/s/gpu/containers/include/pcl/gpu/containers/device_array.h
/__w/1/s/gpu/containers/include/pcl/gpu/containers/impl/device_array.hpp

Public Types

Public Member Functions

Detailed Description

template<class T> class pcl::gpu::DeviceArray2D< T >

Member Typedef Documentation

◆ type

Member Enumeration Documentation

◆ anonymous enum

Constructor & Destructor Documentation

◆ DeviceArray2D() [1/4]

◆ DeviceArray2D() [2/4]

◆ DeviceArray2D() [3/4]

◆ DeviceArray2D() [4/4]

Member Function Documentation

◆ cols()

◆ copyTo()

◆ create()

◆ download() [1/2]

◆ download() [2/2]

◆ elem_step()

◆ operator const T *()

◆ operator T*()

◆ operator=()

◆ ptr() [1/2]

◆ ptr() [2/2]

◆ release()

◆ rows()

◆ swap()

◆ upload() [1/2]

◆ upload() [2/2]

template<class T>
class pcl::gpu::DeviceArray2D< T >