This Logger outputs the value of all scalar values (and potentially vectors) stored internally by the solver after each iteration. More...

#include <ginkgo/core/log/solver_progress.hpp>

Inheritance diagram for gko::log::SolverProgress:

[legend]

Collaboration diagram for gko::log::SolverProgress:

[legend]

Static Public Member Functions
static std::shared_ptr< SolverProgress >	create_scalar_table_writer (std::ostream &output, int precision=6, int column_width=12)
	Creates a logger printing the value for all scalar values in the solver after each iteration in an ASCII table. More...

static std::shared_ptr< SolverProgress >	create_scalar_csv_writer (std::ostream &output, int precision=6, char separator=',')
	Creates a logger printing the value for all scalar values in the solver after each iteration in a CSV table. More...

static std::shared_ptr< SolverProgress >	create_vector_storage (std::string output_file_prefix="solver_", bool binary=false)
	Creates a logger storing all vectors and scalar values in the solver after each iteration on disk. More...

Additional Inherited Members
Public Types inherited from gko::log::Logger
using	mask_type = gko::uint64

Public Member Functions inherited from gko::log::Logger
template<size_type Event, typename... Params>
std::enable_if_t< Event==0 &&(0< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==1 &&(1< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==2 &&(2< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==3 &&(3< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==4 &&(4< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==5 &&(5< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==6 &&(6< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==7 &&(7< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==8 &&(8< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==9 &&(9< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==10 &&(10< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==11 &&(11< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==12 &&(12< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==13 &&(13< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==14 &&(14< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==15 &&(15< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==16 &&(16< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==17 &&(17< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==18 &&(18< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==19 &&(19< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==20 &&(20< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==21 &&(21< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==22 &&(22< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==23 &&(23< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==24 &&(24< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==25 &&(25< event_count_max)>	on (Params &&... params) const

template<size_type Event, typename... Params>
std::enable_if_t< Event==26 &&(26< event_count_max)>	on (Params &&... params) const

virtual bool	needs_propagation () const
	Returns true if this logger, when attached to an Executor, needs to be forwarded all events from objects on this executor.

Static Public Attributes inherited from gko::log::Logger
static constexpr size_type	event_count_max = sizeof(mask_type) * byte_size
	Maximum amount of events (bits) with the current implementation.

static constexpr mask_type	all_events_mask = ~mask_type{0}
	Bitset Mask which activates all events.

static constexpr size_type	allocation_started { 0 }

static constexpr mask_type	allocation_started_mask {mask_type{1} << 0 }

static constexpr size_type	allocation_completed { 1 }

static constexpr mask_type	allocation_completed_mask {mask_type{1} << 1 }

static constexpr size_type	free_started { 2 }

static constexpr mask_type	free_started_mask {mask_type{1} << 2 }

static constexpr size_type	free_completed { 3 }

static constexpr mask_type	free_completed_mask {mask_type{1} << 3 }

static constexpr size_type	copy_started { 4 }

static constexpr mask_type	copy_started_mask {mask_type{1} << 4 }

static constexpr size_type	copy_completed { 5 }

static constexpr mask_type	copy_completed_mask {mask_type{1} << 5 }

static constexpr size_type	operation_launched { 6 }

static constexpr mask_type	operation_launched_mask {mask_type{1} << 6 }

static constexpr size_type	operation_completed { 7 }

static constexpr mask_type	operation_completed_mask {mask_type{1} << 7 }

static constexpr size_type	polymorphic_object_create_started { 8 }

static constexpr mask_type	polymorphic_object_create_started_mask {mask_type{1} << 8 }

static constexpr size_type	polymorphic_object_create_completed { 9 }

static constexpr mask_type	polymorphic_object_create_completed_mask {mask_type{1} << 9 }

static constexpr size_type	polymorphic_object_copy_started { 10 }

static constexpr mask_type	polymorphic_object_copy_started_mask {mask_type{1} << 10 }

static constexpr size_type	polymorphic_object_copy_completed { 11 }

static constexpr mask_type	polymorphic_object_copy_completed_mask {mask_type{1} << 11 }

static constexpr size_type	polymorphic_object_deleted { 12 }

static constexpr mask_type	polymorphic_object_deleted_mask {mask_type{1} << 12 }

static constexpr size_type	linop_apply_started { 13 }

static constexpr mask_type	linop_apply_started_mask {mask_type{1} << 13 }

static constexpr size_type	linop_apply_completed { 14 }

static constexpr mask_type	linop_apply_completed_mask {mask_type{1} << 14 }

static constexpr size_type	linop_advanced_apply_started { 15 }

static constexpr mask_type	linop_advanced_apply_started_mask {mask_type{1} << 15 }

static constexpr size_type	linop_advanced_apply_completed { 16 }

static constexpr mask_type	linop_advanced_apply_completed_mask {mask_type{1} << 16 }

static constexpr size_type	linop_factory_generate_started { 17 }

static constexpr mask_type	linop_factory_generate_started_mask {mask_type{1} << 17 }

static constexpr size_type	linop_factory_generate_completed { 18 }

static constexpr mask_type	linop_factory_generate_completed_mask {mask_type{1} << 18 }

static constexpr size_type	criterion_check_started { 19 }

static constexpr mask_type	criterion_check_started_mask {mask_type{1} << 19 }

static constexpr size_type	criterion_check_completed { 20 }

static constexpr mask_type	criterion_check_completed_mask {mask_type{1} << 20 }

static constexpr size_type	iteration_complete {21}

static constexpr mask_type	iteration_complete_mask {mask_type{1} << 21}

static constexpr size_type	polymorphic_object_move_started { 22 }

static constexpr mask_type	polymorphic_object_move_started_mask {mask_type{1} << 22 }

static constexpr size_type	polymorphic_object_move_completed { 23 }

static constexpr mask_type	polymorphic_object_move_completed_mask {mask_type{1} << 23 }

static constexpr size_type	batch_linop_factory_generate_started { 24 }

static constexpr mask_type	batch_linop_factory_generate_started_mask {mask_type{1} << 24 }

static constexpr size_type	batch_linop_factory_generate_completed { 25 }

static constexpr mask_type	batch_linop_factory_generate_completed_mask {mask_type{1} << 25 }

static constexpr size_type	batch_solver_completed {26}

static constexpr mask_type	batch_solver_completed_mask {mask_type{1} << 26}

static constexpr mask_type	executor_events_mask
	Bitset Mask which activates all executor events. More...

static constexpr mask_type	operation_events_mask
	Bitset Mask which activates all operation events. More...

static constexpr mask_type	polymorphic_object_events_mask
	Bitset Mask which activates all polymorphic object events. More...

static constexpr mask_type	linop_events_mask
	Bitset Mask which activates all linop events. More...

static constexpr mask_type	linop_factory_events_mask
	Bitset Mask which activates all linop factory events. More...

static constexpr mask_type	batch_linop_factory_events_mask
	Bitset Mask which activates all batch linop factory events. More...

static constexpr mask_type	criterion_events_mask
	Bitset Mask which activates all criterion events. More...

Detailed Description

This Logger outputs the value of all scalar values (and potentially vectors) stored internally by the solver after each iteration.

It needs to be attached to the solver being inspected.

Member Function Documentation

◆ create_scalar_csv_writer()

static std::shared_ptr<SolverProgress> gko::log::SolverProgress::create_scalar_csv_writer	(	std::ostream &	output,
		int	precision = `6`,
		char	separator = `','`
	)

static

Creates a logger printing the value for all scalar values in the solver after each iteration in a CSV table.

If the solver is applied to multiple right-hand sides, only the first right-hand side gets printed.

Parameters

output	the stream to write the output to.
precision	the number of digits of precision to print
separator	the character separating columns from each other

◆ create_scalar_table_writer()

static std::shared_ptr<SolverProgress> gko::log::SolverProgress::create_scalar_table_writer	(	std::ostream &	output,
		int	precision = `6`,
		int	column_width = `12`
	)

static

Creates a logger printing the value for all scalar values in the solver after each iteration in an ASCII table.

If the solver is applied to multiple right-hand sides, only the first right-hand side gets printed.

Parameters

output	the stream to write the output to.
precision	the number of digits of precision to print
column_width	the number of characters an output column is wide

◆ create_vector_storage()

static std::shared_ptr<SolverProgress> gko::log::SolverProgress::create_vector_storage	(	std::string	output_file_prefix = `"solver_"`,
		bool	binary = `false`
	)

static

Creates a logger storing all vectors and scalar values in the solver after each iteration on disk.

This logger can handle multiple right-hand sides, in contrast to create_scalar_table_writer or create_scalar_csv_writer.

Parameters

output	the path and file name prefix used to generate the output file names.
precision	the number of digits of precision to print when outputting matrices in text format
binary	if true, write data in Ginkgo's own binary format (lossless), if false write data in the MatrixMarket format (potentially lossy)

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

ginkgo/core/log/solver_progress.hpp

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ create_scalar_csv_writer()

◆ create_scalar_table_writer()

◆ create_vector_storage()