cuda::texture_view Class Reference

Use texture memory for optimized read only cache access. More...

#include <texture_view.hpp>

Public Member Functions
	texture_view (const texture_view &other)=delete
	texture_view (texture_view &&other) noexcept
template<typename T , dimensionality_t NumDimensions>
	texture_view (const cuda::array_t< T, NumDimensions > &arr, texture::descriptor_t descriptor=texture::descriptor_t())
texture_view &	operator= (const texture_view &other)=delete
texture_view &	operator= (texture_view &other)=delete
context_t	context () const
device_t	device () const
device::id_t	device_id () const noexcept
	Getters for this object's raw fields.
context::handle_t	context_handle () const noexcept
raw_handle_type	raw_handle () const noexcept
bool	is_owning () const noexcept

Friends
texture_view	texture::wrap (device::id_t, context::handle_t, raw_handle_type, bool) noexcept

Detailed Description

Use texture memory for optimized read only cache access.

This represents a view on the memory owned by a CUDA array. Thus you can first create a CUDA array (cuda::array_t) and subsequently create a texture_view from it. In CUDA kernels elements of the array can be accessed with e.g. float val = tex3D<float>(tex_obj, x, y, z);, where tex_obj can be obtained by the member function get() of this class.

See also the following sections in the CUDA programming guide:

• texturre and surface memory
• texture fetching

Note

texture_view's are essentially owning - the view is a resource the CUDA runtime creates for you, which then needs to be freed.

Member Function Documentation

context()

context_t cuda::texture_view::context ( ) const

inline

Returns

A non-owning proxy object for the CUDA context in which this texture is defined

device()

device_t cuda::texture_view::device ( ) const

inline

Returns

A non-owning proxy object for the CUDA device on which this texture is defined

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

• src/cuda/api/texture_view.hpp
• src/cuda/api/multi_wrapper_impls/array.hpp