A tensor operation, containing all the data (op, lhs, rhs) required to run it. Also provides methods to get a list of inputs and outputs, as well as successor and dependency information used in scheduling. More...

#include <schedule.h>

Inheritance diagram for CTF::TensorOperation:

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Collaboration diagram for CTF::TensorOperation:

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Public Member Functions
	TensorOperation (TensorOperationTypes op, Idx_Tensor lhs, const CTF_int::Term rhs)
	Constructor, create the tensor operation lhs op= rhs. More...

void	get_outputs (std::set< Idx_Tensor , CTF_int::tensor_name_less > outputs_set) const
	appends the tensors this writes to to the input set More...

void	get_inputs (std::set< Idx_Tensor , CTF_int::tensor_name_less > inputs_set) const
	appends the tensors this depends on (reads from, including the output if a previous value is required) to the input set More...

void	execute (std::map< CTF_int::tensor , CTF_int::tensor > *remap=NULL)
	runs this operation, but does NOT handle dependency scheduling optionally takes a remapping of tensors More...

double	estimate_time ()
	provides an estimated runtime cost More...

bool	is_dummy ()

const char *	name ()

Public Member Functions inherited from CTF::TensorOperationBase
virtual	~TensorOperationBase ()

Data Fields
int	dependency_count

std::vector< TensorOperation * >	successors

std::vector< TensorOperation * >	reads

int	dependency_left

Protected Attributes
TensorOperationTypes	op

Idx_Tensor *	lhs

const CTF_int::Term *	rhs

double	cached_estimated_cost

Detailed Description

A tensor operation, containing all the data (op, lhs, rhs) required to run it. Also provides methods to get a list of inputs and outputs, as well as successor and dependency information used in scheduling.

Definition at line 34 of file schedule.h.

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

Public Member Functions

Data Fields

Protected Attributes

Detailed Description