gko::batch::BatchLinOpFactory Class Reference

A BatchLinOpFactory represents a higher order mapping which transforms one batch linear operator into another. More...

#include <ginkgo/core/base/batch_lin_op.hpp>

Inheritance diagram for gko::batch::BatchLinOpFactory:

Collaboration diagram for gko::batch::BatchLinOpFactory:

Public Member Functions
std::unique_ptr< BatchLinOp >	generate (std::shared_ptr< const BatchLinOp > input) const
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)

Detailed Description

A BatchLinOpFactory represents a higher order mapping which transforms one batch linear operator into another.

In a similar fashion to LinOps, BatchLinOps are also "generated" from the BatchLinOpFactory. A function of this class is to provide a generate method, which internally cals the generate_impl(), which the concrete BatchLinOps have to implement.

Example: using BatchCG in Ginkgo

 {c++}
// Suppose A is a batch matrix, batch_b, a batch rhs vector, and batch_x, an
// initial guess
// Create a BatchCG which runs for at most 1000 iterations, and stops after
// reducing the residual norm by 6 orders of magnitude
auto batch_cg_factory = solver::BatchCg<>::build()
    .with_max_iters(1000)
    .with_rel_residual_goal(1e-6)
    .on(cuda);
// create a batch linear operator which represents the solver
auto batch_cg = batch_cg_factory->generate(A);
// solve the system
batch_cg->apply(batch_b, batch_x);

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

• ginkgo/core/base/batch_lin_op.hpp