tensor.hpp File Reference

an n-dimensional array on host or device More...

#include <iostream>
#include <vector>
#include <stdexcept>
#include <numeric>
#include <boost/shared_ptr.hpp>
#include <boost/multi_array/extent_gen.hpp>
#include <boost/multi_array/index_gen.hpp>
#include <cuv/tools/cuv_general.hpp>
#include <cuv/tools/meta_programming.hpp>
#include "reference.hpp"

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Classes
struct	cuv::column_major
	Tag for column major matrices. More...
struct	cuv::row_major
	Tag for row major matrices. More...
struct	cuv::linear_memory_tag
	tag for linear memory More...
struct	cuv::pitched_memory_tag
	tag for pitched memory More...
struct	cuv::other_memory_layout< T >
	converts from column to row-major and vice versa More...
struct	cuv::other_memory_layout< column_major >
	specialisation: converts from column to row-major More...
struct	cuv::other_memory_layout< row_major >
	specialisation: converts from row to column-major More...
struct	cuv::other_memory_space< T >
	converts from dev to host memory space and vice versa More...
struct	cuv::other_memory_space< dev_memory_space >
	specialisation: converts from dev_memory_space to host_memory_space More...
struct	cuv::other_memory_space< host_memory_space >
	specialisation: converts from host_memory_space to dev_memory_space More...
class	cuv::memory< V, M >
	simply keeps a pointer and deallocates it when destroyed More...
class	cuv::linear_memory< V, M >
	represents contiguous memory More...
class	cuv::pitched_memory< V, M >
	represents 2D non-contiguous ("pitched") memory More...
struct	cuv::tensor_info< M, L >
	contains infos about shape and stride on host and in the tensor data space. More...
class	cuv::tensor< V, M, L >
	represents an n-dimensional array on GPU or CPU. More...
class	cuv::tensor_view< V, M, L >
	primarily used as result of tensor::operator[] More...
struct	cuv::switch_value_type< Mat, NewVT >
	create a tensor type with the same template parameters, but with switched value type More...
struct	cuv::switch_memory_layout_type< Mat, NewML >
	create a tensor type with the same template parameters, but with switched memory_layout_type More...
struct	cuv::switch_memory_space_type< Mat, NewMS >
	create a tensor type with the same template parameters, but with switched memory_space_type More...

Namespaces
namespace	boost
	cuv additions to the boost namespace
namespace	boost::serialization
	serialization functions for cuv data structures
namespace	cuv
	contains all cuv functionality

Typedefs
typedef boost::detail::multi_array::index_range < boost::detail::multi_array::index, boost::detail::multi_array::size_type >	cuv::index_range
	defines an index range, stolen from boost::multi_array
typedef index_range::index	cuv::index
	the index type used in index_range, useful for comparator syntax in

Functions
template<class V , class M , class L , class S >
void	cuv::fill (tensor< V, M, L > &v, const V &p)
	used in implementation of tensor.operator= for value_type argument
bool	cuv::detail::is_c_contiguous (row_major, const linear_memory< unsigned int, host_memory_space > &shape, const linear_memory< int, host_memory_space > &stride)
	true iff there are no "holes" in memory
bool	cuv::detail::is_c_contiguous (column_major, const linear_memory< unsigned int, host_memory_space > &shape, const linear_memory< int, host_memory_space > &stride)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
bool	cuv::detail::is_2dcopyable (row_major, const linear_memory< unsigned int, host_memory_space > &shape, const linear_memory< int, host_memory_space > &stride)
	returns true iff memory can be copied using copy2d
bool	cuv::detail::is_2dcopyable (column_major, const linear_memory< unsigned int, host_memory_space > &shape, const linear_memory< int, host_memory_space > &stride)
template<class index_type , class size_type >
void	cuv::detail::get_pitched_params (size_type &rows, size_type &cols, size_type &pitch, const linear_memory< size_type, host_memory_space > &shape, const linear_memory< index_type, host_memory_space > &stride, row_major)
	this is intended for copying pitched memory.
template<class index_type , class size_type >
void	cuv::detail::get_pitched_params (size_type &rows, size_type &cols, size_type &pitch, const linear_memory< size_type, host_memory_space > &shape, const linear_memory< index_type, host_memory_space > &stride, column_major)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
template<class V , class M0 , class M1 , class L0 , class L1 >
bool	cuv::copy_memory (tensor< V, M0, L0 > &dst, const tensor< V, M1, L1 > &src, bool force_dst_contiguous)
	tries to copy memory, succeeds if shapes match AND both tensors are c_contiguous of 2dcopyable.
template<class V , class M0 , class M1 , class L0 , class L1 >
void	cuv::copy_memory (tensor< V, M0, L0 > &dst, const tensor< V, M1, L1 > &src, linear_memory_tag)
	copies between different memory spaces
template<class V , class M0 , class M1 , class L0 , class L1 >
void	cuv::copy_memory (tensor< V, M0, L0 > &dst, const tensor< V, M1, L1 > &src, pitched_memory_tag)
	copies between different memory spaces
template<class V , class V2 , class M , class M2 , class L >
bool	cuv::equal_shape (const tensor< V, M, L > &a, const tensor< V2, M2, L > &b)
	test whether two tensors have the same shape
template<class V >
ostream &	std::operator<< (ostream &o, const cuv::linear_memory< V, cuv::host_memory_space > &t)
	print a host linear memory to a stream
template<class V >
ostream &	std::operator<< (ostream &o, const cuv::linear_memory< V, cuv::dev_memory_space > &t_)
	print a dev linear memory to a stream (copies first)
template<class V >
ostream &	std::operator<< (ostream &o, const cuv::pitched_memory< V, cuv::host_memory_space > &t)
	print a host pitched memory to a stream
template<class V >
ostream &	std::operator<< (ostream &o, const cuv::pitched_memory< V, cuv::dev_memory_space > &t_)
	print a dev pitched memory to a stream (copies first)
template<class V , class L >
ostream &	std::operator<< (ostream &o, const cuv::tensor< V, cuv::dev_memory_space, L > &t)
	print a dev tensor to a stream (copying to host first)
template<class V , class L >
ostream &	std::operator<< (ostream &o, const cuv::tensor< V, cuv::host_memory_space, L > &t)
	print a host tensor to a stream

Detailed Description

an n-dimensional array on host or device

Author

Hannes Schulz

Date

2012-01-25

Definition in file tensor.hpp.