SparsityCsr is a matrix format which stores only the sparsity pattern of a sparse matrix by compressing each row of the matrix (compressed sparse row format). More...

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

Inheritance diagram for gko::matrix::SparsityCsr< ValueType, IndexType >:

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Collaboration diagram for gko::matrix::SparsityCsr< ValueType, IndexType >:

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Public Types
using	value_type = ValueType

using	index_type = IndexType

using	transposed_type = SparsityCsr< IndexType, ValueType >

using	mat_data = matrix_data< ValueType, IndexType >

using	device_mat_data = device_matrix_data< ValueType, IndexType >

Public Types inherited from gko::EnablePolymorphicAssignment< SparsityCsr< ValueType, IndexType > >
using	result_type = SparsityCsr< ValueType, IndexType >

Public Types inherited from gko::ConvertibleTo< SparsityCsr< ValueType, IndexType > >
using	result_type = SparsityCsr< ValueType, IndexType >

Public Types inherited from gko::ConvertibleTo< Csr< ValueType, IndexType > >
using	result_type = Csr< ValueType, IndexType >

Public Types inherited from gko::ConvertibleTo< Dense< ValueType > >
using	result_type = Dense< 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 Member Functions
void	convert_to (Csr< ValueType, IndexType > *result) const override

void	move_to (Csr< ValueType, IndexType > *result) override

void	convert_to (Dense< ValueType > *result) const override

void	move_to (Dense< ValueType > *result) override

void	read (const mat_data &data) override
	Reads a matrix from a matrix_data structure. 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< LinOp >	transpose () const override
	Returns a LinOp representing the transpose of the Transposable object. More...

std::unique_ptr< LinOp >	conj_transpose () const override
	Returns a LinOp representing the conjugate transpose of the Transposable object. More...

std::unique_ptr< SparsityCsr >	to_adjacency_matrix () const
	Transforms the sparsity matrix to an adjacency matrix. More...

void	sort_by_column_index ()
	Sorts each row by column index.

bool	is_sorted_by_column_index () const

index_type *	get_col_idxs () noexcept
	Returns the column indices of the matrix. More...

const index_type *	get_const_col_idxs () const noexcept
	Returns the column indices of the matrix. More...

index_type *	get_row_ptrs () noexcept
	Returns the row pointers of the matrix. More...

const index_type *	get_const_row_ptrs () const noexcept
	Returns the row pointers of the matrix. More...

value_type *	get_value () noexcept
	Returns the value stored in the matrix. More...

const value_type *	get_const_value () const noexcept
	Returns the value stored in the matrix. More...

size_type	get_num_nonzeros () const noexcept
	Returns the number of elements explicitly stored in the matrix. More...

SparsityCsr &	operator= (const SparsityCsr &)
	Copy-assigns a SparsityCsr matrix. More...

SparsityCsr &	operator= (SparsityCsr &&)
	Move-assigns a SparsityCsr matrix. More...

	SparsityCsr (const SparsityCsr &)
	Copy-constructs a SparsityCsr matrix. More...

	SparsityCsr (SparsityCsr &&)
	Move-constructs a SparsityCsr matrix. More...

Public Member Functions inherited from gko::EnableLinOp< SparsityCsr< ValueType, IndexType > >
const SparsityCsr< ValueType, IndexType > *	apply (ptr_param< const LinOp > b, ptr_param< LinOp > x) const

SparsityCsr< ValueType, IndexType > *	apply (ptr_param< const LinOp > b, ptr_param< LinOp > x)

const SparsityCsr< ValueType, IndexType > *	apply (ptr_param< const LinOp > alpha, ptr_param< const LinOp > b, ptr_param< const LinOp > beta, ptr_param< LinOp > x) const

SparsityCsr< 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< SparsityCsr< ValueType, IndexType >, LinOp >
std::unique_ptr< SparsityCsr< ValueType, IndexType > >	create_default (std::shared_ptr< const Executor > exec) const

std::unique_ptr< SparsityCsr< ValueType, IndexType > >	create_default () const

std::unique_ptr< SparsityCsr< ValueType, IndexType > >	clone (std::shared_ptr< const Executor > exec) const

std::unique_ptr< SparsityCsr< ValueType, IndexType > >	clone () const

SparsityCsr< ValueType, IndexType > *	copy_from (const PolymorphicObject *other)

std::enable_if_t< std::is_base_of< PolymorphicObject, std::decay_t< Derived > >::value, SparsityCsr< ValueType, IndexType > > *	copy_from (std::unique_ptr< Derived > &&other)

std::enable_if_t< std::is_base_of< PolymorphicObject, std::decay_t< Derived > >::value, SparsityCsr< ValueType, IndexType > > *	copy_from (const std::unique_ptr< Derived > &other)

SparsityCsr< ValueType, IndexType > *	copy_from (const std::shared_ptr< const PolymorphicObject > &other)

SparsityCsr< ValueType, IndexType > *	move_from (ptr_param< PolymorphicObject > other)

SparsityCsr< ValueType, IndexType > *	clear ()

Public Member Functions inherited from gko::LinOp
LinOp *	apply (ptr_param< const LinOp > b, ptr_param< LinOp > x)
	Applies a linear operator to a vector (or a sequence of vectors). More...

const LinOp *	apply (ptr_param< const LinOp > b, ptr_param< LinOp > x) const

LinOp *	apply (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 LinOp *	apply (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...

LinOp &	operator= (const LinOp &)=default
	Copy-assigns a LinOp. More...

LinOp &	operator= (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< LinOp >	create_default (std::shared_ptr< const Executor > exec) const

std::unique_ptr< LinOp >	create_default () const

std::unique_ptr< LinOp >	clone (std::shared_ptr< const Executor > exec) const

std::unique_ptr< LinOp >	clone () const

LinOp *	copy_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)

LinOp *	copy_from (const std::shared_ptr< const PolymorphicObject > &other)

LinOp *	move_from (ptr_param< PolymorphicObject > other)

LinOp *	clear ()

Public Member Functions inherited from gko::PolymorphicObject
PolymorphicObject &	operator= (const PolymorphicObject &)

std::unique_ptr< PolymorphicObject >	create_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< PolymorphicObject >	create_default () const
	Creates a new "default" object of the same dynamic type as this object. More...

std::unique_ptr< PolymorphicObject >	clone (std::shared_ptr< const Executor > exec) const
	Creates a clone of the object. More...

std::unique_ptr< PolymorphicObject >	clone () const
	Creates a clone of the object. More...

PolymorphicObject *	copy_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...

PolymorphicObject *	copy_from (const std::shared_ptr< const PolymorphicObject > &other)
	Copies another object into this object. More...

PolymorphicObject *	move_from (ptr_param< PolymorphicObject > other)
	Moves another object into this object. More...

PolymorphicObject *	clear ()
	Transforms the object into its default state. More...

std::shared_ptr< const Executor >	get_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< SparsityCsr< 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< SparsityCsr< 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< 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< 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::ReadableFromMatrixData< ValueType, IndexType >
void	read (const matrix_assembly_data< ValueType, IndexType > &data)
	Reads a matrix from a matrix_assembly_data structure. More...

Static Public Member Functions
static std::unique_ptr< SparsityCsr >	create (std::shared_ptr< const Executor > exec, const dim< 2 > &size=dim< 2 >{}, size_type num_nonzeros={})
	Creates an uninitialized SparsityCsr matrix of the specified size. More...

static std::unique_ptr< SparsityCsr >	create (std::shared_ptr< const Executor > exec, const dim< 2 > &size, array< index_type > col_idxs, array< index_type > row_ptrs, value_type value=one< ValueType >())
	Creates a SparsityCsr matrix from already allocated (and initialized) row pointer and column index arrays. More...

template<typename ColIndexType , typename RowPtrType >
static std::unique_ptr< SparsityCsr >	create (std::shared_ptr< const Executor > exec, const dim< 2 > &size, std::initializer_list< ColIndexType > col_idxs, std::initializer_list< RowPtrType > row_ptrs, value_type value=one< ValueType >())
	create(std::shared_ptr<const More...

static std::unique_ptr< SparsityCsr >	create (std::shared_ptr< const Executor > exec, std::shared_ptr< const LinOp > matrix)
	Creates a Sparsity matrix from an existing matrix. More...

static std::unique_ptr< const SparsityCsr >	create_const (std::shared_ptr< const Executor > exec, const dim< 2 > &size, gko::detail::const_array_view< IndexType > &&col_idxs, gko::detail::const_array_view< IndexType > &&row_ptrs, ValueType value=one< ValueType >())
	Creates a constant (immutable) SparsityCsr matrix from constant arrays. More...

Friends
class	EnablePolymorphicObject< SparsityCsr, LinOp >

class	Csr< ValueType, IndexType >

class	Dense< ValueType >

class	Fbcsr< ValueType, IndexType >

Detailed Description

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

SparsityCsr is a matrix format which stores only the sparsity pattern of a sparse matrix by compressing each row of the matrix (compressed sparse row format).

The values of the nonzero elements are stored as a value array of length 1. All the values in the matrix are equal to this value. By default, this value is set to 1.0. A row pointer array also stores the linearized starting index of each row. An additional column index array is used to identify the column where a nonzero is present.

Template Parameters

ValueType	precision of vectors in apply
IndexType	precision of matrix indexes

Constructor & Destructor Documentation

◆ SparsityCsr() [1/2]

template<typename ValueType = default_precision, typename IndexType = int32>

gko::matrix::SparsityCsr< ValueType, IndexType >::SparsityCsr ( const SparsityCsr< ValueType, IndexType > & )

Copy-constructs a SparsityCsr matrix.

Inherits executor, strategy and data.

◆ SparsityCsr() [2/2]

template<typename ValueType = default_precision, typename IndexType = int32>

gko::matrix::SparsityCsr< ValueType, IndexType >::SparsityCsr ( SparsityCsr< ValueType, IndexType > && )

Move-constructs a SparsityCsr matrix.

Inherits executor, moves the data and leaves the moved-from object in an empty state (0x0 LinOp with unchanged executor, no nonzeros and valid row pointers).

Member Function Documentation

◆ conj_transpose()

template<typename ValueType = default_precision, typename IndexType = int32>

std::unique_ptr<LinOp> gko::matrix::SparsityCsr< 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.

◆ create() [1/4]

template<typename ValueType = default_precision, typename IndexType = int32>

static std::unique_ptr<SparsityCsr> gko::matrix::SparsityCsr< ValueType, IndexType >::create	(	std::shared_ptr< const Executor >	exec,
		const dim< 2 > &	size,
		array< index_type >	col_idxs,
		array< index_type >	row_ptrs,
		value_type	value = `one< ValueType >()`
	)

static

Creates a SparsityCsr matrix from already allocated (and initialized) row pointer and column index arrays.

Template Parameters

ColIdxsArray	type of `col_idxs` array
RowPtrsArray	type of `row_ptrs` array

Parameters

exec	Executor associated to the matrix
size	size of the matrix
col_idxs	array of column indexes
row_ptrs	array of row pointers
value	value stored. (same value for all matrix elements)

Note: If one of row_ptrs or col_idxs is not an rvalue, not an array of IndexType and IndexType respectively, or is on the wrong executor, an internal copy of that array will be created, and the original array data will not be used in the matrix.

◆ create() [2/4]

template<typename ValueType = default_precision, typename IndexType = int32>

template<typename ColIndexType , typename RowPtrType >

static std::unique_ptr<SparsityCsr> gko::matrix::SparsityCsr< ValueType, IndexType >::create	(	std::shared_ptr< const Executor >	exec,
		const dim< 2 > &	size,
		std::initializer_list< ColIndexType >	col_idxs,
		std::initializer_list< RowPtrType >	row_ptrs,
		value_type	value = `one<ValueType>()`
	)

inlinestatic

create(std::shared_ptr<const

create(std::shared_ptr<const executor>="">, const dim<2>&, array<index_type>, array<index_type>, value_type)

References gko::matrix::SparsityCsr< ValueType, IndexType >::create().

◆ create() [3/4]

template<typename ValueType = default_precision, typename IndexType = int32>

static std::unique_ptr<SparsityCsr> gko::matrix::SparsityCsr< ValueType, IndexType >::create	(	std::shared_ptr< const Executor >	exec,
		const dim< 2 > &	size = `dim< 2 >{}`,
		size_type	num_nonzeros = `{}`
	)

static

Creates an uninitialized SparsityCsr matrix of the specified size.

Parameters

exec	Executor associated to the matrix
size	size of the matrix
num_nonzeros	number of nonzeros

Referenced by gko::matrix::SparsityCsr< ValueType, IndexType >::create().

◆ create() [4/4]

template<typename ValueType = default_precision, typename IndexType = int32>

static std::unique_ptr<SparsityCsr> gko::matrix::SparsityCsr< ValueType, IndexType >::create	(	std::shared_ptr< const Executor >	exec,
		std::shared_ptr< const LinOp >	matrix
	)

static

Creates a Sparsity matrix from an existing matrix.

Uses the copy_and_convert_to functionality.

Parameters

exec	Executor associated to the matrix
matrix	The input matrix

◆ create_const()

template<typename ValueType = default_precision, typename IndexType = int32>

static std::unique_ptr<const SparsityCsr> gko::matrix::SparsityCsr< ValueType, IndexType >::create_const	(	std::shared_ptr< const Executor >	exec,
		const dim< 2 > &	size,
		gko::detail::const_array_view< IndexType > &&	col_idxs,
		gko::detail::const_array_view< IndexType > &&	row_ptrs,
		ValueType	value = `one<ValueType>()`
	)

inlinestatic

Creates a constant (immutable) SparsityCsr matrix from constant arrays.

Parameters

exec	the executor to create the matrix on
size	the dimensions of the matrix
values	the value array of the matrix
col_idxs	the column index array of the matrix
row_ptrs	the row pointer array of the matrix
strategy	the strategy the matrix uses for SpMV operations

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 these arrays on the correct executor.

◆ get_col_idxs()

template<typename ValueType = default_precision, typename IndexType = int32>

index_type* gko::matrix::SparsityCsr< ValueType, IndexType >::get_col_idxs ( )

inlinenoexcept

Returns the column indices of the matrix.

Returns: the column indices 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::SparsityCsr< ValueType, IndexType >::get_const_col_idxs ( ) const

inlinenoexcept

Returns the column indices of the matrix.

Returns: the column indices 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::SparsityCsr< ValueType, IndexType >::get_const_row_ptrs ( ) const

inlinenoexcept

Returns the row pointers of the matrix.

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_value()

template<typename ValueType = default_precision, typename IndexType = int32>

const value_type* gko::matrix::SparsityCsr< ValueType, IndexType >::get_const_value ( ) const

inlinenoexcept

Returns the value stored in the matrix.

Returns: the value 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_nonzeros()

template<typename ValueType = default_precision, typename IndexType = int32>

size_type gko::matrix::SparsityCsr< ValueType, IndexType >::get_num_nonzeros ( ) const

inlinenoexcept

Returns the number of elements explicitly stored in the matrix.

Returns: the number of elements explicitly stored in the matrix

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

◆ get_row_ptrs()

template<typename ValueType = default_precision, typename IndexType = int32>

index_type* gko::matrix::SparsityCsr< ValueType, IndexType >::get_row_ptrs ( )

inlinenoexcept

Returns the row pointers of the matrix.

Returns: the row pointers of the matrix.

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

◆ get_value()

template<typename ValueType = default_precision, typename IndexType = int32>

value_type* gko::matrix::SparsityCsr< ValueType, IndexType >::get_value ( )

inlinenoexcept

Returns the value stored in the matrix.

Returns: the value of the matrix.

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

◆ operator=() [1/2]

template<typename ValueType = default_precision, typename IndexType = int32>

SparsityCsr& gko::matrix::SparsityCsr< ValueType, IndexType >::operator= ( const SparsityCsr< ValueType, IndexType > & )

Copy-assigns a SparsityCsr matrix.

Preserves executor, copies everything else.

◆ operator=() [2/2]

template<typename ValueType = default_precision, typename IndexType = int32>

SparsityCsr& gko::matrix::SparsityCsr< ValueType, IndexType >::operator= ( SparsityCsr< ValueType, IndexType > && )

Move-assigns a SparsityCsr matrix.

Preserves executor, moves the data and leaves the moved-from object in an empty state (0x0 LinOp with unchanged executor, no nonzeros and valid row pointers).

◆ read() [1/3]

template<typename ValueType = default_precision, typename IndexType = int32>

void gko::matrix::SparsityCsr< ValueType, IndexType >::read ( const device_mat_data & data )

overridevirtual

Reads a matrix from a device_matrix_data structure.

Parameters

data	the device_matrix_data structure.

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

◆ read() [2/3]

template<typename ValueType = default_precision, typename IndexType = int32>

void gko::matrix::SparsityCsr< ValueType, IndexType >::read ( const mat_data & data )

overridevirtual

Reads a matrix from a matrix_data structure.

Parameters

data	the matrix_data structure

Implements gko::ReadableFromMatrixData< ValueType, IndexType >.

◆ read() [3/3]

template<typename ValueType = default_precision, typename IndexType = int32>

void gko::matrix::SparsityCsr< 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

data	the device_matrix_data structure.

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

◆ to_adjacency_matrix()

template<typename ValueType = default_precision, typename IndexType = int32>

std::unique_ptr<SparsityCsr> gko::matrix::SparsityCsr< ValueType, IndexType >::to_adjacency_matrix ( ) const

Transforms the sparsity matrix to an adjacency matrix.

As the adjacency matrix has to be square, the input SparsityCsr matrix for this function to work has to be square.

Note: The adjacency matrix in this case is the sparsity pattern but with the diagonal ones removed. This is mainly used for the reordering/partitioning as taken in by graph libraries such as METIS.

◆ transpose()

template<typename ValueType = default_precision, typename IndexType = int32>

std::unique_ptr<LinOp> gko::matrix::SparsityCsr< 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::SparsityCsr< ValueType, IndexType >::write ( mat_data & data ) const

overridevirtual

Writes a matrix to a matrix_data structure.

Parameters

data	the matrix_data structure

Implements gko::WritableToMatrixData< ValueType, IndexType >.

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

ginkgo/core/matrix/csr.hpp
ginkgo/core/matrix/sparsity_csr.hpp

Public Types

Public Member Functions

Static Public Member Functions

Friends

Detailed Description

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

Constructor & Destructor Documentation

◆ SparsityCsr() [1/2]

◆ SparsityCsr() [2/2]

Member Function Documentation

◆ conj_transpose()

◆ create() [1/4]

◆ create() [2/4]

◆ create() [3/4]

◆ create() [4/4]

◆ create_const()

◆ get_col_idxs()

◆ get_const_col_idxs()

◆ get_const_row_ptrs()

◆ get_const_value()

◆ get_num_nonzeros()

◆ get_row_ptrs()

◆ get_value()

◆ operator=() [1/2]

◆ operator=() [2/2]

◆ read() [1/3]

◆ read() [2/3]

◆ read() [3/3]

◆ to_adjacency_matrix()

◆ transpose()

◆ write()

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