TensorLayout

class dolfin.cpp.la.TensorLayout(*args)

Bases: dolfin.cpp.common.Variable

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

Overloaded versions

• TensorLayout(primary_dim, sparsity_pattern)

  Create empty tensor layout

• TensorLayout(mpi_comm, index_maps, primary_dim, sparsity_pattern, ghosted)

  Create a tensor layout

Ghosts_GHOSTED = True

Ghosts_UNGHOSTED = False

Sparsity_DENSE = False

Sparsity_SPARSE = True

index_map()

Return IndexMap for dimension

init()

Initialize tensor layout

is_ghosted()

Require ghosts

local_range()

Return local range for dimension dim

mpi_comm()

Return MPI communicator

primary_dim

rank()

Return rank

size()

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

sparsity_pattern()

Overloaded versions

• sparsity_pattern()

  Return sparsity pattern (possibly null)

• sparsity_pattern()

  Return sparsity pattern (possibly null), const version

thisown

The membership flag