Data required to perform duplex buffer pipelining. More...

#include <TTL_duplex_scheme.h>

Collaboration diagram for TTL_duplex_buffering< TENSORTYPE >:

Public Member Functions
	TTL_duplex_buffering (TTL_tensor< TENSORTYPE > ext_tensor_in, TTL_local(TENSORTYPE ) int_base_in, TTL_tensor< TENSORTYPE > ext_tensor_out, TTL_local(TENSORTYPE ) int_base_out, TTL_event(*input_events)[2], TTL_tile first_tile)
	Create a TTL_DUPLEX_BUFFERING_TYPE and begin the buffering process.

TTL_io_tensors< TENSORTYPE >	step_buffering (TTL_tile tile_current_import, TTL_tile tile_current_export)

void	finish_buffering ()
	Complete any transfers required to finish the buffering process.

Data Fields
TTL_common_buffering< TENSORTYPE, 2 >	m_common
	The information that is m_common to all pipeline schemes.

TTL_event(*	m_events )[2]

struct {

TTL_tensor< TENSORTYPE > to_export_to

TTL_tensor< TENSORTYPE > to_export_from

}	m_prev_out_tensors
	Store of the buffers used for the previous import/export cycles.

Static Public Attributes
static constexpr unsigned int	IMPORT_BUFFER = 0
	Indexes to use for importing and exporting of data.

static constexpr unsigned int	EXPORT_BUFFER = 1

Detailed Description

template<typename TENSORTYPE>
struct TTL_duplex_buffering< TENSORTYPE >

Data required to perform duplex buffer pipelining.

See also: TTL_start_duplex_buffering for a description of duplex buffer pipelining.

Definition at line 62 of file p/pipelines/TTL_duplex_scheme.h.

Constructor & Destructor Documentation

◆ TTL_duplex_buffering()

template<typename TENSORTYPE>

TTL_duplex_buffering< TENSORTYPE >::TTL_duplex_buffering	(	TTL_tensor< TENSORTYPE >	ext_tensor_in,
		TTL_local(TENSORTYPE *)	int_base_in,
		TTL_tensor< TENSORTYPE >	ext_tensor_out,
		TTL_local(TENSORTYPE *)	int_base_out,
		TTL_event(*)	input_events[2],
		TTL_tile	first_tile )

inline

Create a TTL_DUPLEX_BUFFERING_TYPE and begin the buffering process.

Parameters

ext_tensor_in	A tensor describing the input in global memory
int_base_in	The address of the local import buffer.
ext_tensor_out	A tensor describing the output in global memory
int_base_out	The address of the local export buffer.
m_events	A pointer to a list of 2 m_events. The first event in the list will be used for imports, the second event in the list will be used for exports.
first_tile	The first tile to fetch for the scheme

Returns: The TTL_DUPLEX_BUFFERING_TYPE created from the input parameters.

The first event in the list will be used for imports, the second event in the list will be used for exports.

Example:

TTL_event m_events[2] = { TTL_get_event(), TTL_get_event()};
 
TTL_duplex_buffering buffering_scheme(
    ext_base_in, ext_layout_in, l_buffers[0],
    ext_base_out, ext_layout_out, l_buffers[1],
    &m_events);