gko::matrix::Csr< ValueType, IndexType >::sparselib Class Reference

sparselib is a strategy_type which uses the sparselib csr. More...

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

Inheritance diagram for gko::matrix::Csr< ValueType, IndexType >::sparselib:

Collaboration diagram for gko::matrix::Csr< ValueType, IndexType >::sparselib:

Public Member Functions
	sparselib ()
	Creates a sparselib strategy.
void	process (const array< index_type > &mtx_row_ptrs, array< index_type > *mtx_srow) override
	Computes srow according to row pointers. More...
int64_t	clac_size (const int64_t nnz) override
	Computes the srow size according to the number of nonzeros. More...
std::shared_ptr< strategy_type >	copy () override
	Copy a strategy. More...
Public Member Functions inherited from gko::matrix::Csr< ValueType, IndexType >::strategy_type
	strategy_type (std::string name)
	Creates a strategy_type. More...
std::string	get_name ()
	Returns the name of strategy. More...

Detailed Description

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

sparselib is a strategy_type which uses the sparselib csr.

Note

Uses cusparse in cuda and hipsparse in hip.

Member Function Documentation

clac_size()

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

int64_t gko::matrix::Csr< ValueType, IndexType >::sparselib::clac_size ( const int64_t  nnz )

inlineoverridevirtual

Computes the srow size according to the number of nonzeros.

Parameters

nnz	the number of nonzeros

Returns

the size of srow

Implements gko::matrix::Csr< ValueType, IndexType >::strategy_type.

copy()

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

std::shared_ptr<strategy_type> gko::matrix::Csr< ValueType, IndexType >::sparselib::copy ( )

inlineoverridevirtual

Copy a strategy.

This is a workaround until strategies are revamped, since strategies like automatical do not work when actually shared.

Implements gko::matrix::Csr< ValueType, IndexType >::strategy_type.

process()

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

void gko::matrix::Csr< ValueType, IndexType >::sparselib::process ( const array< index_type > &  mtx_row_ptrs, array< index_type > *  mtx_srow  )

inlineoverridevirtual

Computes srow according to row pointers.

Parameters

mtx_row_ptrs	the row pointers of the matrix
mtx_srow	the srow of the matrix

Implements gko::matrix::Csr< ValueType, IndexType >::strategy_type.

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

• ginkgo/core/matrix/csr.hpp