ELL is a matrix format where stride with explicit zeros is used such that all rows have the same number of stored elements. More...

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

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

[legend]

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

[legend]

Public Types
using	value_type = ValueType

using	index_type = IndexType

using	mat_data = matrix_data< ValueType, IndexType >

using	device_mat_data = device_matrix_data< ValueType, IndexType >

using	absolute_type = remove_complex< Ell >

using	device_view = matrix::view::ell< value_type, index_type >

using	const_device_view = matrix::view::ell< const value_type, const index_type >

Public Types inherited from gko::EnableCloneable< Ell< ValueType, IndexType > >
using	result_type = Ell< ValueType, IndexType >

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

Public Types inherited from gko::ConvertibleTo< Ell< next_precision< ValueType >, IndexType > >
using	result_type = Ell< 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::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< Ell< ValueType, IndexType > > >
using	absolute_type = remove_complex< Ell< ValueType, IndexType > >

Public Member Functions
void	convert_to (Ell< next_precision< ValueType >, IndexType > *result) const override

void	move_to (Ell< 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 > *other) const override

void	move_to (Csr< ValueType, IndexType > *other) 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< 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.

value_type *	get_values () noexcept
	Returns the values of the matrix. More...

const value_type *	get_const_values () const noexcept
	Returns the values of the matrix. More...

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

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

size_type	get_num_stored_elements_per_row () const noexcept
	Returns the number of stored elements per row. More...

size_type	get_stride () const noexcept
	Returns the stride of the matrix. More...

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

value_type &	val_at (size_type row, size_type idx) noexcept
	Returns the `idx`-th non-zero element of the `row`-th row . More...

value_type	val_at (size_type row, size_type idx) const noexcept
	Returns the `idx`-th non-zero element of the `row`-th row . More...

index_type &	col_at (size_type row, size_type idx) noexcept
	Returns the `idx`-th column index of the `row`-th row . More...

index_type	col_at (size_type row, size_type idx) const noexcept
	Returns the `idx`-th column index of the `row`-th row . More...

device_view	get_device_view ()
	get the non-owning device view

const_device_view	get_const_device_view () const
	get the const non-owning device view

void	validate_data () const override
	Throws gko::InvalidData exception if we found the data inside the object does not fulfill certain property up to our knowledge.

Ell &	operator= (const Ell &)
	Copy-assigns an Ell matrix. More...

Ell &	operator= (Ell &&)
	Move-assigns an Ell matrix. More...

	Ell (const Ell &)
	Copy-constructs an Ell matrix. More...

	Ell (Ell &&)
	Move-constructs an Ell matrix. More...

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

void	apply (ptr_param< const LinOp > alpha, ptr_param< const LinOp > b, ptr_param< const LinOp > beta, ptr_param< LinOp > x) const
	Performs the operation x = alpha * op(b) + beta * x. More...

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::PolymorphicObject
PolymorphicObject &	operator= (const PolymorphicObject &)

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::EnableCloneable< Ell< ValueType, IndexType > >
std::unique_ptr< Ell< ValueType, IndexType > >	clone (std::shared_ptr< const Executor > exec) const
	Creates a clone of the object. More...

std::unique_ptr< Ell< ValueType, IndexType > >	clone () const
	Creates a clone of the object. More...

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...

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

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

Public Member Functions inherited from gko::ConvertibleTo< Ell< 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::Cloneable
std::unique_ptr< Cloneable >	clone (std::shared_ptr< const Executor > exec) const

std::unique_ptr< Cloneable >	clone () const

Cloneable *	copy_from (ptr_param< const Cloneable > other)

Cloneable *	move_from (ptr_param< Cloneable > other)

std::unique_ptr< Cloneable >	create_default (std::shared_ptr< const Executor > exec) const

std::unique_ptr< Cloneable >	create_default () const

Public Member Functions inherited from gko::ConvertibleTo< Ell< 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::DiagonalExtractable< ValueType >
std::unique_ptr< LinOp >	extract_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::WritableToMatrixData< ValueType, IndexType >
virtual void	write (device_matrix_data< ValueType, IndexType > &data) const
	Writes a matrix to a device_matrix_data structure. More...

Public Member Functions inherited from gko::EnableAbsoluteComputation< remove_complex< Ell< ValueType, IndexType > > >
std::unique_ptr< LinOp >	compute_absolute_linop () const override
	Gets the absolute LinOp. More...

Static Public Member Functions
static std::unique_ptr< Ell >	create (std::shared_ptr< const Executor > exec, const dim< 2 > &size={}, size_type num_stored_elements_per_row=0, size_type stride=0)
	Creates an uninitialized Ell matrix of the specified size. More...

static std::unique_ptr< Ell >	create (std::shared_ptr< const Executor > exec, const dim< 2 > &size, array< value_type > values, array< index_type > col_idxs, size_type num_stored_elements_per_row, size_type stride)
	Creates an ELL matrix from already allocated (and initialized) column index and value arrays. More...

template<typename InputValueType , typename InputColumnIndexType >
static std::unique_ptr< Ell >	create (std::shared_ptr< const Executor > exec, const dim< 2 > &size, std::initializer_list< InputValueType > values, std::initializer_list< InputColumnIndexType > col_idxs, size_type num_stored_elements_per_row, size_type stride)
	create(std::shared_ptr<const Executor>, More...

static std::unique_ptr< const Ell >	create_const (std::shared_ptr< const Executor > exec, const dim< 2 > &size, gko::detail::const_array_view< ValueType > &&values, gko::detail::const_array_view< IndexType > &&col_idxs, size_type num_stored_elements_per_row, size_type stride)
	Creates a constant (immutable) Ell matrix from a set of constant arrays. More...

Friends
class	EnableCloneable< Ell >

class	Dense< ValueType >

class	Coo< ValueType, IndexType >

class	Csr< ValueType, IndexType >

class	Ell< to_complex< ValueType >, IndexType >

class	Ell< previous_precision< ValueType >, IndexType >

class	Hybrid< ValueType, IndexType >

Detailed Description

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

ELL is a matrix format where stride with explicit zeros is used such that all rows have the same number of stored elements.

The number of elements stored in each row is the largest number of nonzero elements in any of the rows (obtainable through get_num_stored_elements_per_row() method). This removes the need of a row pointer like in the CSR format, and allows for SIMD processing of the distinct rows. For efficient processing, the nonzero elements and the corresponding column indices are stored in column-major fashion. The columns are padded to the length by user-defined stride parameter whose default value is the number of rows of the matrix.

This implementation uses the column index value invalid_index<IndexType>() to mark padding entries that are not part of the sparsity pattern.

Template Parameters

ValueType	precision of matrix elements
IndexType	precision of matrix indexes

Constructor & Destructor Documentation

◆ Ell() [1/2]

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

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

Copy-constructs an Ell matrix.

Inherits executor and dimensions, but copies data without padding.

◆ Ell() [2/2]

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

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

Move-constructs an Ell matrix.

Inherits executor, dimensions and data with padding. The moved-from object is empty (0x0 with empty Array).

Member Function Documentation

◆ col_at() [1/2]

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

index_type gko::matrix::Ell< ValueType, IndexType >::col_at	(	size_type	row,
		size_type	idx
	)		const

inlinenoexcept

Returns the idx-th column index of the row-th row .

Parameters

row	the row of the requested element
idx	the idx-th stored element of the row

Note: the method has to be called on the same Executor the matrix is stored at (e.g. trying to call this method on a GPU matrix from the OMP results in a runtime error)

References gko::matrix::Ell< ValueType, IndexType >::get_const_col_idxs().

◆ col_at() [2/2]

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

index_type& gko::matrix::Ell< ValueType, IndexType >::col_at	(	size_type	row,
		size_type	idx
	)

inlinenoexcept

Returns the idx-th column index of the row-th row .

Parameters

row	the row of the requested element
idx	the idx-th stored element of the row

Note: the method has to be called on the same Executor the matrix is stored at (e.g. trying to call this method on a GPU matrix from the OMP results in a runtime error)

References gko::matrix::Ell< ValueType, IndexType >::get_col_idxs().

◆ compute_absolute()

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

std::unique_ptr<absolute_type> gko::matrix::Ell< ValueType, IndexType >::compute_absolute ( ) const

overridevirtual

Gets the AbsoluteLinOp.

Returns: a pointer to the new absolute object

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

◆ create() [1/3]

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

static std::unique_ptr<Ell> gko::matrix::Ell< ValueType, IndexType >::create	(	std::shared_ptr< const Executor >	exec,
		const dim< 2 > &	size,
		array< value_type >	values,
		array< index_type >	col_idxs,
		size_type	num_stored_elements_per_row,
		size_type	stride
	)

static

Creates an ELL matrix from already allocated (and initialized) column index and value arrays.

Parameters

exec	Executor associated to the matrix
size	size of the matrix
values	array of matrix values
col_idxs	array of column indexes
num_stored_elements_per_row	the number of stored elements per row
stride	stride of the rows

Note: If one of col_idxs or values is not an rvalue, not an array of IndexType and ValueType, 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.

Returns: A smart pointer to the newly created matrix.

◆ create() [2/3]

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

template<typename InputValueType , typename InputColumnIndexType >

static std::unique_ptr<Ell> gko::matrix::Ell< ValueType, IndexType >::create	(	std::shared_ptr< const Executor >	exec,
		const dim< 2 > &	size,
		std::initializer_list< InputValueType >	values,
		std::initializer_list< InputColumnIndexType >	col_idxs,
		size_type	num_stored_elements_per_row,
		size_type	stride
	)

inlinestatic

create(std::shared_ptr<const Executor>,

create(std::shared_ptr<const Executor>, const dim<2>&, array<value_type>, array<index_type>, size_type, size_type)

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

◆ create() [3/3]

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

static std::unique_ptr<Ell> gko::matrix::Ell< ValueType, IndexType >::create	(	std::shared_ptr< const Executor >	exec,
		const dim< 2 > &	size = `{}`,
		size_type	num_stored_elements_per_row = `0`,
		size_type	stride = `0`
	)

static

Creates an uninitialized Ell matrix of the specified size.

Parameters

exec	Executor associated to the matrix
size	size of the matrix
num_stored_elements_per_row	the number of stored elements per row
stride	stride of the columns. If it is set to 0, size[0] will be used instead.

Returns: A smart pointer to the newly created matrix.

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

◆ create_const()

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

static std::unique_ptr<const Ell> gko::matrix::Ell< ValueType, IndexType >::create_const	(	std::shared_ptr< const Executor >	exec,
		const dim< 2 > &	size,
		gko::detail::const_array_view< ValueType > &&	values,
		gko::detail::const_array_view< IndexType > &&	col_idxs,
		size_type	num_stored_elements_per_row,
		size_type	stride
	)

static

Creates a constant (immutable) Ell matrix from a set of 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
num_stored_elements_per_row	the number of stored nonzeros per row
stride	the column-stride of the value and column index array

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::Ell< ValueType, IndexType >::extract_diagonal ( ) const

overridevirtual

Extracts the diagonal entries of the matrix into a vector.

Parameters

diag	the vector into which the diagonal will be written

Implements gko::DiagonalExtractable< ValueType >.

◆ get_col_idxs()

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

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

inlinenoexcept

Returns the column indexes of the matrix.

Returns: the column indexes of the matrix.

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

Referenced by gko::matrix::Ell< ValueType, IndexType >::col_at().

◆ get_const_col_idxs()

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

const index_type* gko::matrix::Ell< ValueType, IndexType >::get_const_col_idxs ( ) const

inlinenoexcept

Returns the column indexes of the matrix.

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().

Referenced by gko::matrix::Ell< ValueType, IndexType >::col_at().

◆ get_const_values()

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

const value_type* gko::matrix::Ell< ValueType, IndexType >::get_const_values ( ) const

inlinenoexcept

Returns the values of the matrix.

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_stored_elements()

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

size_type gko::matrix::Ell< ValueType, IndexType >::get_num_stored_elements ( ) 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_num_stored_elements_per_row()

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

size_type gko::matrix::Ell< ValueType, IndexType >::get_num_stored_elements_per_row ( ) const

inlinenoexcept

Returns the number of stored elements per row.

Returns: the number of stored elements per row.

◆ get_stride()

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

size_type gko::matrix::Ell< ValueType, IndexType >::get_stride ( ) const

inlinenoexcept

Returns the stride of the matrix.

Returns: the stride of the matrix.

◆ get_values()

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

value_type* gko::matrix::Ell< ValueType, IndexType >::get_values ( )

inlinenoexcept

Returns the values of the matrix.

Returns: the values of the matrix.

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

◆ operator=() [1/2]

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

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

Copy-assigns an Ell matrix.

Preserves the executor, reallocates the matrix with minimal stride if the dimensions don't match, then copies the data over, ignoring padding.

◆ operator=() [2/2]

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

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

Move-assigns an Ell matrix.

Preserves the executor, moves the data over preserving size and stride. Leaves the moved-from object in an empty state (0x0 with empty Array).

◆ read() [1/3]

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

void gko::matrix::Ell< 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::Ell< 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::Ell< 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 >.

◆ val_at() [1/2]

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

value_type gko::matrix::Ell< ValueType, IndexType >::val_at	(	size_type	row,
		size_type	idx
	)		const

inlinenoexcept

Returns the idx-th non-zero element of the row-th row .

Parameters

row	the row of the requested element
idx	the idx-th stored element of the row

Note: the method has to be called on the same Executor the matrix is stored at (e.g. trying to call this method on a GPU matrix from the OMP results in a runtime error)

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

◆ val_at() [2/2]

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

value_type& gko::matrix::Ell< ValueType, IndexType >::val_at	(	size_type	row,
		size_type	idx
	)

inlinenoexcept

Returns the idx-th non-zero element of the row-th row .

Parameters

row	the row of the requested element
idx	the idx-th stored element of the row

Note: the method has to be called on the same Executor the matrix is stored at (e.g. trying to call this method on a GPU matrix from the OMP results in a runtime error)

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

◆ write()

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

void gko::matrix::Ell< 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/ell.hpp

Public Types

Public Member Functions

Static Public Member Functions

Friends

Detailed Description

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

Constructor & Destructor Documentation

◆ Ell() [1/2]

◆ Ell() [2/2]

Member Function Documentation

◆ col_at() [1/2]

◆ col_at() [2/2]

◆ compute_absolute()

◆ create() [1/3]

◆ create() [2/3]

◆ create() [3/3]

◆ create_const()

◆ extract_diagonal()

◆ get_col_idxs()

◆ get_const_col_idxs()

◆ get_const_values()

◆ get_num_stored_elements()

◆ get_num_stored_elements_per_row()

◆ get_stride()

◆ get_values()

◆ operator=() [1/2]

◆ operator=() [2/2]

◆ read() [1/3]

◆ read() [2/3]

◆ read() [3/3]

◆ val_at() [1/2]

◆ val_at() [2/2]

◆ write()

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