dolfin::TensorLayout Class Reference

#include <TensorLayout.h>

Inheritance diagram for dolfin::TensorLayout:

Collaboration diagram for dolfin::TensorLayout:

Public Types
enum	Sparsity : bool { SPARSE = true, DENSE = false }
	Sparse or dense layout.
enum	Ghosts : bool { GHOSTED = true, UNGHOSTED = false }
	Ghosted or unghosted layout.

Public Member Functions
	TensorLayout (MPI_Comm comm, std::size_t primary_dim, Sparsity sparsity_pattern)
	Create empty tensor layout.
	TensorLayout (MPI_Comm mpi_comm, std::vector< std::shared_ptr< const IndexMap >> index_maps, std::size_t primary_dim, Sparsity sparsity_pattern, Ghosts ghosted)
	Create a tensor layout.
void	init (std::vector< std::shared_ptr< const IndexMap >> index_maps, Ghosts ghosted)
	Initialize tensor layout.
std::size_t	rank () const
	Return rank.
std::size_t	size (std::size_t i) const
std::pair< std::size_t, std::size_t >	local_range (std::size_t dim) const
	Return local range for dimension dim.
std::shared_ptr< SparsityPattern >	sparsity_pattern ()
	Return sparsity pattern (possibly null)
std::shared_ptr< const SparsityPattern >	sparsity_pattern () const
	Return sparsity pattern (possibly null), const version.
std::string	str (bool verbose) const
	Return informal string representation (pretty-print)
MPI_Comm	mpi_comm () const
	Return MPI communicator.
std::shared_ptr< const IndexMap >	index_map (std::size_t i) const
	Return IndexMap for dimension.
Ghosts	is_ghosted () const
	Require ghosts.
Public Member Functions inherited from dolfin::Variable
	Variable ()
	Create unnamed variable.
	Variable (const std::string name, const std::string label)
	Create variable with given name and label.
	Variable (const Variable &variable)
	Copy constructor.
virtual	~Variable ()
	Destructor.
const Variable &	operator= (const Variable &variable)
	Assignment operator.
void	rename (const std::string name, const std::string label)
	Rename variable.
std::string	name () const
	Return name.
std::string	label () const
	Return label (description)
std::size_t	id () const

Public Attributes
const std::size_t	primary_dim
	Primary storage dim (e.g., 0=row major, 1=column major)
Public Attributes inherited from dolfin::Variable
Parameters	parameters
	Parameters.

Detailed Description

This class described the size and possibly the sparsity of a (sparse) tensor. It is used by the linear algebra backends to initialise tensors.

Member Function Documentation

std::size_t TensorLayout::size

(

std::size_t

i

)

const

Return global size for dimension i (size of tensor, includes non-zeroes)

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

• /home/fenics/shared/dolfin/la/TensorLayout.h
• /home/fenics/shared/dolfin/la/TensorLayout.cpp