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

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

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

Public Member Functions
	cusparse ()
void	process (const array< index_type > &mtx_row_ptrs, array< index_type > *mtx_srow) override
int64_t	clac_size (const int64_t nnz) override
std::shared_ptr< strategy_type >	copy () override
Public Member Functions inherited from gko::matrix::Csr< ValueType, IndexType >::strategy_type
	strategy_type (std::string name)
std::string	get_name ()

Additional Inherited Members
Protected Member Functions inherited from gko::matrix::Csr< ValueType, IndexType >::strategy_type
void	set_name (std::string name)

Detailed Description

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

cusparse is a strategy_type which uses the sparselib csr.

Note

cusparse is also known to the hip executor which converts between cuda and hip.

Constructor & Destructor Documentation

cusparse()

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

gko::matrix::Csr< ValueType, IndexType >::cusparse::cusparse ( )

inline

Creates a cusparse strategy.

Member Function Documentation

clac_size()

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

int64_t gko::matrix::Csr< ValueType, IndexType >::cusparse::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 >::cusparse::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 >::cusparse::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