Ginkgo  Generated from pipelines/1068515030 branch based on master. Ginkgo version 1.7.0
A numerical linear algebra library targeting many-core architectures
Public Types | Public Member Functions | Static Public Member Functions | Friends | List of all members
gko::matrix::Fbcsr< ValueType, IndexType > Class Template Reference

Fixed-block compressed sparse row storage matrix format. More...

#include <ginkgo/core/matrix/fbcsr.hpp>

Inheritance diagram for gko::matrix::Fbcsr< ValueType, IndexType >:
[legend]
Collaboration diagram for gko::matrix::Fbcsr< ValueType, IndexType >:
[legend]

Public Types

using value_type = ValueType
 
using index_type = IndexType
 
using transposed_type = Fbcsr< ValueType, IndexType >
 
using mat_data = matrix_data< ValueType, IndexType >
 
using device_mat_data = device_matrix_data< ValueType, IndexType >
 
using absolute_type = remove_complex< Fbcsr >
 
- Public Types inherited from gko::EnablePolymorphicAssignment< Fbcsr< ValueType, IndexType > >
using result_type = Fbcsr< ValueType, IndexType >
 
- Public Types inherited from gko::ConvertibleTo< Fbcsr< ValueType, IndexType > >
using result_type = Fbcsr< ValueType, IndexType >
 
- Public Types inherited from gko::ConvertibleTo< Fbcsr< next_precision< ValueType >, IndexType > >
using result_type = Fbcsr< next_precision< ValueType >, IndexType >
 
- Public Types inherited from gko::ConvertibleTo< Dense< ValueType > >
using result_type = Dense< ValueType >
 
- Public Types inherited from gko::ConvertibleTo< Csr< ValueType, IndexType > >
using result_type = Csr< ValueType, IndexType >
 
- Public Types inherited from gko::ConvertibleTo< SparsityCsr< ValueType, IndexType > >
using result_type = SparsityCsr< ValueType, IndexType >
 
- Public Types inherited from gko::DiagonalExtractable< ValueType >
using value_type = ValueType
 
- Public Types inherited from gko::ReadableFromMatrixData< ValueType, IndexType >
using value_type = ValueType
 
using index_type = IndexType
 
- Public Types inherited from gko::WritableToMatrixData< ValueType, IndexType >
using value_type = ValueType
 
using index_type = IndexType
 
- Public Types inherited from gko::EnableAbsoluteComputation< remove_complex< Fbcsr< ValueType, IndexType > > >
using absolute_type = remove_complex< Fbcsr< ValueType, IndexType > >
 

Public Member Functions

void convert_to (Fbcsr< next_precision< ValueType >, IndexType > *result) const override
 
void move_to (Fbcsr< next_precision< ValueType >, IndexType > *result) override
 
void convert_to (Dense< ValueType > *other) const override
 
void move_to (Dense< ValueType > *other) override
 
void convert_to (Csr< ValueType, IndexType > *result) const override
 Converts the matrix to CSR format. More...
 
void move_to (Csr< ValueType, IndexType > *result) override
 
void convert_to (SparsityCsr< ValueType, IndexType > *result) const override
 Get the block sparsity pattern in CSR-like format. More...
 
void move_to (SparsityCsr< ValueType, IndexType > *result) override
 
void read (const mat_data &data) override
 Reads a matrix_data into Fbcsr format. More...
 
void read (const device_mat_data &data) override
 Reads a matrix from a device_matrix_data structure. More...
 
void read (device_mat_data &&data) override
 Reads a matrix from a device_matrix_data structure. More...
 
void write (mat_data &data) const override
 Writes a matrix to a matrix_data structure. More...
 
std::unique_ptr< LinOptranspose () const override
 Returns a LinOp representing the transpose of the Transposable object. More...
 
std::unique_ptr< LinOpconj_transpose () const override
 Returns a LinOp representing the conjugate transpose of the Transposable object. More...
 
std::unique_ptr< Diagonal< ValueType > > extract_diagonal () const override
 Extracts the diagonal entries of the matrix into a vector. More...
 
std::unique_ptr< absolute_type > compute_absolute () const override
 Gets the AbsoluteLinOp. More...
 
void compute_absolute_inplace () override
 Compute absolute inplace on each element.
 
void sort_by_column_index ()
 Sorts the values blocks and block-column indices in each row by column index.
 
bool is_sorted_by_column_index () const
 Tests if all row entry pairs (value, col_idx) are sorted by column index. More...
 
value_type * get_values () noexcept
 
const value_type * get_const_values () const noexcept
 
index_type * get_col_idxs () noexcept
 
const index_type * get_const_col_idxs () const noexcept
 
index_type * get_row_ptrs () noexcept
 
const index_type * get_const_row_ptrs () const noexcept
 
size_type get_num_stored_elements () const noexcept
 
size_type get_num_stored_blocks () const noexcept
 
int get_block_size () const noexcept
 
index_type get_num_block_rows () const noexcept
 
index_type get_num_block_cols () const noexcept
 
Fbcsroperator= (const Fbcsr &)
 Copy-assigns an Fbcsr matrix. More...
 
Fbcsroperator= (Fbcsr &&)
 Move-assigns an Fbcsr matrix. More...
 
 Fbcsr (const Fbcsr &)
 Copy-constructs an Ell matrix. More...
 
 Fbcsr (Fbcsr &&)
 Move-constructs an Fbcsr matrix. More...
 
- Public Member Functions inherited from gko::EnableLinOp< Fbcsr< ValueType, IndexType > >
const Fbcsr< ValueType, IndexType > * apply (ptr_param< const LinOp > b, ptr_param< LinOp > x) const
 
Fbcsr< ValueType, IndexType > * apply (ptr_param< const LinOp > b, ptr_param< LinOp > x)
 
const Fbcsr< ValueType, IndexType > * apply (ptr_param< const LinOp > alpha, ptr_param< const LinOp > b, ptr_param< const LinOp > beta, ptr_param< LinOp > x) const
 
Fbcsr< ValueType, IndexType > * apply (ptr_param< const LinOp > alpha, ptr_param< const LinOp > b, ptr_param< const LinOp > beta, ptr_param< LinOp > x)
 
- Public Member Functions inherited from gko::EnableAbstractPolymorphicObject< Fbcsr< ValueType, IndexType >, LinOp >
std::unique_ptr< Fbcsr< ValueType, IndexType > > create_default (std::shared_ptr< const Executor > exec) const
 
std::unique_ptr< Fbcsr< ValueType, IndexType > > create_default () const
 
std::unique_ptr< Fbcsr< ValueType, IndexType > > clone (std::shared_ptr< const Executor > exec) const
 
std::unique_ptr< Fbcsr< ValueType, IndexType > > clone () const
 
Fbcsr< ValueType, IndexType > * copy_from (const PolymorphicObject *other)
 
std::enable_if_t< std::is_base_of< PolymorphicObject, std::decay_t< Derived > >::value, Fbcsr< ValueType, IndexType > > * copy_from (std::unique_ptr< Derived > &&other)
 
std::enable_if_t< std::is_base_of< PolymorphicObject, std::decay_t< Derived > >::value, Fbcsr< ValueType, IndexType > > * copy_from (const std::unique_ptr< Derived > &other)
 
Fbcsr< ValueType, IndexType > * copy_from (const std::shared_ptr< const PolymorphicObject > &other)
 
Fbcsr< ValueType, IndexType > * move_from (ptr_param< PolymorphicObject > other)
 
Fbcsr< ValueType, IndexType > * clear ()
 
- Public Member Functions inherited from gko::LinOp
LinOpapply (ptr_param< const LinOp > b, ptr_param< LinOp > x)
 Applies a linear operator to a vector (or a sequence of vectors). More...
 
const LinOpapply (ptr_param< const LinOp > b, ptr_param< LinOp > x) const
 
LinOpapply (ptr_param< const LinOp > alpha, ptr_param< const LinOp > b, ptr_param< const LinOp > beta, ptr_param< LinOp > x)
 Performs the operation x = alpha * op(b) + beta * x. More...
 
const LinOpapply (ptr_param< const LinOp > alpha, ptr_param< const LinOp > b, ptr_param< const LinOp > beta, ptr_param< LinOp > x) const
 
const dim< 2 > & get_size () const noexcept
 Returns the size of the operator. More...
 
virtual bool apply_uses_initial_guess () const
 Returns true if the linear operator uses the data given in x as an initial guess. More...
 
LinOpoperator= (const LinOp &)=default
 Copy-assigns a LinOp. More...
 
LinOpoperator= (LinOp &&other)
 Move-assigns a LinOp. More...
 
 LinOp (const LinOp &)=default
 Copy-constructs a LinOp. More...
 
 LinOp (LinOp &&other)
 Move-constructs a LinOp. More...
 
- Public Member Functions inherited from gko::EnableAbstractPolymorphicObject< LinOp >
std::unique_ptr< LinOpcreate_default (std::shared_ptr< const Executor > exec) const
 
std::unique_ptr< LinOpcreate_default () const
 
std::unique_ptr< LinOpclone (std::shared_ptr< const Executor > exec) const
 
std::unique_ptr< LinOpclone () const
 
LinOpcopy_from (const PolymorphicObject *other)
 
std::enable_if_t< std::is_base_of< PolymorphicObject, std::decay_t< Derived > >::value, LinOp > * copy_from (std::unique_ptr< Derived > &&other)
 
std::enable_if_t< std::is_base_of< PolymorphicObject, std::decay_t< Derived > >::value, LinOp > * copy_from (const std::unique_ptr< Derived > &other)
 
LinOpcopy_from (const std::shared_ptr< const PolymorphicObject > &other)
 
LinOpmove_from (ptr_param< PolymorphicObject > other)
 
LinOpclear ()
 
- Public Member Functions inherited from gko::PolymorphicObject
PolymorphicObjectoperator= (const PolymorphicObject &)
 
std::unique_ptr< PolymorphicObjectcreate_default (std::shared_ptr< const Executor > exec) const
 Creates a new "default" object of the same dynamic type as this object. More...
 
std::unique_ptr< PolymorphicObjectcreate_default () const
 Creates a new "default" object of the same dynamic type as this object. More...
 
std::unique_ptr< PolymorphicObjectclone (std::shared_ptr< const Executor > exec) const
 Creates a clone of the object. More...
 
std::unique_ptr< PolymorphicObjectclone () const
 Creates a clone of the object. More...
 
PolymorphicObjectcopy_from (const PolymorphicObject *other)
 Copies another object into this object. More...
 
template<typename Derived , typename Deleter >
std::enable_if_t< std::is_base_of< PolymorphicObject, std::decay_t< Derived > >::value, PolymorphicObject > * copy_from (std::unique_ptr< Derived, Deleter > &&other)
 Moves another object into this object. More...
 
template<typename Derived , typename Deleter >
std::enable_if_t< std::is_base_of< PolymorphicObject, std::decay_t< Derived > >::value, PolymorphicObject > * copy_from (const std::unique_ptr< Derived, Deleter > &other)
 Copies another object into this object. More...
 
PolymorphicObjectcopy_from (const std::shared_ptr< const PolymorphicObject > &other)
 Copies another object into this object. More...
 
PolymorphicObjectmove_from (ptr_param< PolymorphicObject > other)
 Moves another object into this object. More...
 
PolymorphicObjectclear ()
 Transforms the object into its default state. More...
 
std::shared_ptr< const Executorget_executor () const noexcept
 Returns the Executor of the object. More...
 
- Public Member Functions inherited from gko::log::EnableLogging< PolymorphicObject >
void add_logger (std::shared_ptr< const Logger > logger) override
 
void remove_logger (const Logger *logger) override
 
void remove_logger (ptr_param< const Logger > logger)
 
const std::vector< std::shared_ptr< const Logger > > & get_loggers () const override
 
void clear_loggers () override
 
- Public Member Functions inherited from gko::log::Loggable
void remove_logger (ptr_param< const Logger > logger)
 
- Public Member Functions inherited from gko::EnablePolymorphicAssignment< Fbcsr< ValueType, IndexType > >
void convert_to (result_type *result) const override
 Converts the implementer to an object of type result_type. More...
 
void move_to (result_type *result) override
 Converts the implementer to an object of type result_type by moving data from this object. More...
 
- Public Member Functions inherited from gko::ConvertibleTo< Fbcsr< ValueType, IndexType > >
void convert_to (ptr_param< result_type > result) const
 
void move_to (ptr_param< result_type > result)
 
- Public Member Functions inherited from gko::ConvertibleTo< Fbcsr< next_precision< ValueType >, IndexType > >
virtual void convert_to (result_type *result) const=0
 Converts the implementer to an object of type result_type. More...
 
void convert_to (ptr_param< result_type > result) const
 
virtual void move_to (result_type *result)=0
 Converts the implementer to an object of type result_type by moving data from this object. More...
 
void move_to (ptr_param< result_type > result)
 
- Public Member Functions inherited from gko::ConvertibleTo< Dense< ValueType > >
virtual void convert_to (result_type *result) const=0
 Converts the implementer to an object of type result_type. More...
 
void convert_to (ptr_param< result_type > result) const
 
virtual void move_to (result_type *result)=0
 Converts the implementer to an object of type result_type by moving data from this object. More...
 
void move_to (ptr_param< result_type > result)
 
- Public Member Functions inherited from gko::ConvertibleTo< Csr< ValueType, IndexType > >
virtual void convert_to (result_type *result) const=0
 Converts the implementer to an object of type result_type. More...
 
void convert_to (ptr_param< result_type > result) const
 
virtual void move_to (result_type *result)=0
 Converts the implementer to an object of type result_type by moving data from this object. More...
 
void move_to (ptr_param< result_type > result)
 
- Public Member Functions inherited from gko::ConvertibleTo< SparsityCsr< ValueType, IndexType > >
virtual void convert_to (result_type *result) const=0
 Converts the implementer to an object of type result_type. More...
 
void convert_to (ptr_param< result_type > result) const
 
virtual void move_to (result_type *result)=0
 Converts the implementer to an object of type result_type by moving data from this object. More...
 
void move_to (ptr_param< result_type > result)
 
- Public Member Functions inherited from gko::DiagonalExtractable< ValueType >
std::unique_ptr< LinOpextract_diagonal_linop () const override
 Extracts the diagonal entries of the matrix into a vector. More...
 
- Public Member Functions inherited from gko::ReadableFromMatrixData< ValueType, IndexType >
void read (const matrix_assembly_data< ValueType, IndexType > &data)
 Reads a matrix from a matrix_assembly_data structure. More...
 
- Public Member Functions inherited from gko::EnableAbsoluteComputation< remove_complex< Fbcsr< ValueType, IndexType > > >
std::unique_ptr< LinOpcompute_absolute_linop () const override
 Gets the absolute LinOp. More...
 

Static Public Member Functions

static std::unique_ptr< const Fbcsrcreate_const (std::shared_ptr< const Executor > exec, const dim< 2 > &size, int blocksize, gko::detail::const_array_view< ValueType > &&values, gko::detail::const_array_view< IndexType > &&col_idxs, gko::detail::const_array_view< IndexType > &&row_ptrs)
 Creates a constant (immutable) Fbcsr matrix from a constant array. More...
 
- Static Public Member Functions inherited from gko::EnableCreateMethod< Fbcsr< ValueType, IndexType > >
static std::unique_ptr< Fbcsr< ValueType, IndexType > > create (Args &&... args)
 

Friends

class EnableCreateMethod< Fbcsr >
 
class EnablePolymorphicObject< Fbcsr, LinOp >
 
class Csr< ValueType, IndexType >
 
class Dense< ValueType >
 
class SparsityCsr< ValueType, IndexType >
 
class FbcsrBuilder< ValueType, IndexType >
 
class Fbcsr< to_complex< ValueType >, IndexType >
 
class Fbcsr< next_precision< ValueType >, IndexType >
 

Detailed Description

template<typename ValueType = default_precision, typename IndexType = int32>
class gko::matrix::Fbcsr< ValueType, IndexType >

Fixed-block compressed sparse row storage matrix format.

FBCSR is a matrix format meant for matrices having a natural block structure made up of small, dense, disjoint blocks. It is similar to CSR

See also
Csr. However, unlike Csr, each non-zero location stores a small dense block of entries having a constant size. This reduces the number of integers that need to be stored in order to refer to a given non-zero entry, and enables efficient implementation of certain block methods.

The block size is expected to be known in advance and passed to the constructor.

Note
The total number of rows and the number of columns are expected to be divisible by the block size.

The nonzero elements are stored in a 1D array row-wise, and accompanied with a row pointer array which stores the starting index of each block-row. An additional block-column index array is used to identify the block-column of each nonzero block.

The Fbcsr LinOp supports different operations:

matrix::Fbcsr *A, *B, *C; // matrices
matrix::Dense *b, *x; // vectors tall-and-skinny matrices
matrix::Dense *alpha, *beta; // scalars of dimension 1x1
// Applying to Dense matrices computes an SpMV/SpMM product
A->apply(b, x) // x = A*b
A->apply(alpha, b, beta, x) // x = alpha*A*b + beta*x
Template Parameters
ValueTypeprecision of matrix elements
IndexTypeprecision of matrix indexes

Constructor & Destructor Documentation

◆ Fbcsr() [1/2]

template<typename ValueType = default_precision, typename IndexType = int32>
gko::matrix::Fbcsr< ValueType, IndexType >::Fbcsr ( const Fbcsr< ValueType, IndexType > &  )

Copy-constructs an Ell matrix.

Inherits executor and data.

◆ Fbcsr() [2/2]

template<typename ValueType = default_precision, typename IndexType = int32>
gko::matrix::Fbcsr< ValueType, IndexType >::Fbcsr ( Fbcsr< ValueType, IndexType > &&  )

Move-constructs an Fbcsr matrix.

Inherits executor and data. The moved-from object is empty (0x0 with no nonzeros, but valid row pointers).

Member Function Documentation

◆ compute_absolute()

template<typename ValueType = default_precision, typename IndexType = int32>
std::unique_ptr<absolute_type> gko::matrix::Fbcsr< ValueType, IndexType >::compute_absolute ( ) const
overridevirtual

Gets the AbsoluteLinOp.

Returns
a pointer to the new absolute object

Implements gko::EnableAbsoluteComputation< remove_complex< Fbcsr< ValueType, IndexType > > >.

◆ conj_transpose()

template<typename ValueType = default_precision, typename IndexType = int32>
std::unique_ptr<LinOp> gko::matrix::Fbcsr< ValueType, IndexType >::conj_transpose ( ) const
overridevirtual

Returns a LinOp representing the conjugate transpose of the Transposable object.

Returns
a pointer to the new conjugate transposed object

Implements gko::Transposable.

◆ convert_to() [1/2]

template<typename ValueType = default_precision, typename IndexType = int32>
void gko::matrix::Fbcsr< ValueType, IndexType >::convert_to ( Csr< ValueType, IndexType > *  result) const
override

Converts the matrix to CSR format.

Note
Any explicit zeros in the original matrix are retained in the converted result.

◆ convert_to() [2/2]

template<typename ValueType = default_precision, typename IndexType = int32>
void gko::matrix::Fbcsr< ValueType, IndexType >::convert_to ( SparsityCsr< ValueType, IndexType > *  result) const
override

Get the block sparsity pattern in CSR-like format.

Note
The actual non-zero values are never copied; the result always has a value array of size 1 with the value 1.

◆ create_const()

template<typename ValueType = default_precision, typename IndexType = int32>
static std::unique_ptr<const Fbcsr> gko::matrix::Fbcsr< ValueType, IndexType >::create_const ( std::shared_ptr< const Executor exec,
const dim< 2 > &  size,
int  blocksize,
gko::detail::const_array_view< ValueType > &&  values,
gko::detail::const_array_view< IndexType > &&  col_idxs,
gko::detail::const_array_view< IndexType > &&  row_ptrs 
)
inlinestatic

Creates a constant (immutable) Fbcsr matrix from a constant array.

Parameters
execthe executor to create the matrix on
sizethe dimensions of the matrix
blocksizethe block size of the matrix
valuesthe value array of the matrix
col_idxsthe block column index array of the matrix
row_ptrsthe block row pointer array of the matrix
Returns
A smart pointer to the constant matrix wrapping the input arrays (if they reside on the same executor as the matrix) or a copy of the arrays on the correct executor.

◆ extract_diagonal()

template<typename ValueType = default_precision, typename IndexType = int32>
std::unique_ptr<Diagonal<ValueType> > gko::matrix::Fbcsr< ValueType, IndexType >::extract_diagonal ( ) const
overridevirtual

Extracts the diagonal entries of the matrix into a vector.

Parameters
diagthe vector into which the diagonal will be written

Implements gko::DiagonalExtractable< ValueType >.

◆ get_block_size()

template<typename ValueType = default_precision, typename IndexType = int32>
int gko::matrix::Fbcsr< ValueType, IndexType >::get_block_size ( ) const
inlinenoexcept
Returns
The fixed block size for this matrix

◆ get_col_idxs()

template<typename ValueType = default_precision, typename IndexType = int32>
index_type* gko::matrix::Fbcsr< ValueType, IndexType >::get_col_idxs ( )
inlinenoexcept
Returns
The column indexes of the matrix.

References gko::array< ValueType >::get_data().

◆ get_const_col_idxs()

template<typename ValueType = default_precision, typename IndexType = int32>
const index_type* gko::matrix::Fbcsr< ValueType, IndexType >::get_const_col_idxs ( ) const
inlinenoexcept

Returns
The column indexes of the matrix.
Note
This is the constant version of the function, which can be significantly more memory efficient than the non-constant version, so always prefer this version.

References gko::array< ValueType >::get_const_data().

◆ get_const_row_ptrs()

template<typename ValueType = default_precision, typename IndexType = int32>
const index_type* gko::matrix::Fbcsr< ValueType, IndexType >::get_const_row_ptrs ( ) const
inlinenoexcept

Returns
The row pointers of the matrix.
Note
This is the constant version of the function, which can be significantly more memory efficient than the non-constant version, so always prefer this version.

References gko::array< ValueType >::get_const_data().

◆ get_const_values()

template<typename ValueType = default_precision, typename IndexType = int32>
const value_type* gko::matrix::Fbcsr< ValueType, IndexType >::get_const_values ( ) const
inlinenoexcept

Returns
The values of the matrix.
Note
This is the constant version of the function, which can be significantly more memory efficient than the non-constant version, so always prefer this version.

References gko::array< ValueType >::get_const_data().

◆ get_num_block_cols()

template<typename ValueType = default_precision, typename IndexType = int32>
index_type gko::matrix::Fbcsr< ValueType, IndexType >::get_num_block_cols ( ) const
inlinenoexcept
Returns
The number of block-columns in the matrix

References gko::LinOp::get_size().

◆ get_num_block_rows()

template<typename ValueType = default_precision, typename IndexType = int32>
index_type gko::matrix::Fbcsr< ValueType, IndexType >::get_num_block_rows ( ) const
inlinenoexcept
Returns
The number of block-rows in the matrix

References gko::LinOp::get_size().

◆ get_num_stored_blocks()

template<typename ValueType = default_precision, typename IndexType = int32>
size_type gko::matrix::Fbcsr< ValueType, IndexType >::get_num_stored_blocks ( ) const
inlinenoexcept
Returns
The number of non-zero blocks explicitly stored in the matrix

References gko::array< ValueType >::get_num_elems().

◆ get_num_stored_elements()

template<typename ValueType = default_precision, typename IndexType = int32>
size_type gko::matrix::Fbcsr< ValueType, IndexType >::get_num_stored_elements ( ) const
inlinenoexcept
Returns
The number of elements explicitly stored in the matrix

References gko::array< ValueType >::get_num_elems().

◆ get_row_ptrs()

template<typename ValueType = default_precision, typename IndexType = int32>
index_type* gko::matrix::Fbcsr< ValueType, IndexType >::get_row_ptrs ( )
inlinenoexcept
Returns
The row pointers of the matrix.

References gko::array< ValueType >::get_data().

◆ get_values()

template<typename ValueType = default_precision, typename IndexType = int32>
value_type* gko::matrix::Fbcsr< ValueType, IndexType >::get_values ( )
inlinenoexcept
Returns
The values of the matrix.

References gko::array< ValueType >::get_data().

◆ is_sorted_by_column_index()

template<typename ValueType = default_precision, typename IndexType = int32>
bool gko::matrix::Fbcsr< ValueType, IndexType >::is_sorted_by_column_index ( ) const

Tests if all row entry pairs (value, col_idx) are sorted by column index.

Returns
True if all row entry pairs (value, col_idx) are sorted by column index

◆ operator=() [1/2]

template<typename ValueType = default_precision, typename IndexType = int32>
Fbcsr& gko::matrix::Fbcsr< ValueType, IndexType >::operator= ( const Fbcsr< ValueType, IndexType > &  )

Copy-assigns an Fbcsr matrix.

Preserves the executor, copies data and block size from the input.

◆ operator=() [2/2]

template<typename ValueType = default_precision, typename IndexType = int32>
Fbcsr& gko::matrix::Fbcsr< ValueType, IndexType >::operator= ( Fbcsr< ValueType, IndexType > &&  )

Move-assigns an Fbcsr matrix.

Preserves the executor, moves the data over preserving size and stride. Leaves the moved-from object in an empty state (0x0 with no nonzeros, but valid row pointers).

◆ read() [1/3]

template<typename ValueType = default_precision, typename IndexType = int32>
void gko::matrix::Fbcsr< ValueType, IndexType >::read ( const device_mat_data data)
overridevirtual

Reads a matrix from a device_matrix_data structure.

Parameters
datathe device_matrix_data structure.

Reimplemented from gko::ReadableFromMatrixData< ValueType, IndexType >.

◆ read() [2/3]

template<typename ValueType = default_precision, typename IndexType = int32>
void gko::matrix::Fbcsr< ValueType, IndexType >::read ( const mat_data data)
overridevirtual

Reads a matrix_data into Fbcsr format.

Requires the block size to be set beforehand

See also
set_block_size.
Warning
Unlike Csr::read, here explicit non-zeros are NOT dropped.

Implements gko::ReadableFromMatrixData< ValueType, IndexType >.

◆ read() [3/3]

template<typename ValueType = default_precision, typename IndexType = int32>
void gko::matrix::Fbcsr< ValueType, IndexType >::read ( device_mat_data &&  data)
overridevirtual

Reads a matrix from a device_matrix_data structure.

The structure may be emptied by this function.

Parameters
datathe device_matrix_data structure.

Reimplemented from gko::ReadableFromMatrixData< ValueType, IndexType >.

◆ transpose()

template<typename ValueType = default_precision, typename IndexType = int32>
std::unique_ptr<LinOp> gko::matrix::Fbcsr< ValueType, IndexType >::transpose ( ) const
overridevirtual

Returns a LinOp representing the transpose of the Transposable object.

Returns
a pointer to the new transposed object

Implements gko::Transposable.

◆ write()

template<typename ValueType = default_precision, typename IndexType = int32>
void gko::matrix::Fbcsr< ValueType, IndexType >::write ( mat_data data) const
overridevirtual

Writes a matrix to a matrix_data structure.

Parameters
datathe matrix_data structure

Implements gko::WritableToMatrixData< ValueType, IndexType >.


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