tiramisu::wait Class Reference

#include <core.h>

Inherits tiramisu::communicator.

Public Member Functions
	wait (tiramisu::expr rhs, xfer_prop prop, tiramisu::function *fct)
	wait (std::string iteration_domain_str, tiramisu::expr rhs, xfer_prop prop, bool schedule_this, tiramisu::function *fct)
virtual bool	is_wait () const override
virtual void	add_definitions (std::string iteration_domain_str, tiramisu::expr e, bool schedule_this_computation, tiramisu::primitive_t t, tiramisu::function *fct) override
	Add definitions of computations that have the same name as this computation. More...
std::vector< tiramisu::computation * >	get_op_to_wait_on () const
Public Member Functions inherited from tiramisu::communicator
	communicator (std::string iteration_domain_str, tiramisu::expr rhs, bool schedule_this_computation, tiramisu::primitive_t data_type, tiramisu::function *fct)
	communicator (std::string iteration_domain_str, tiramisu::expr rhs, bool schedule_this_computation, tiramisu::primitive_t, tiramisu::xfer_prop prop, tiramisu::function *fct)
xfer_prop	get_xfer_props () const
tiramisu::expr	get_num_elements () const
void	add_dim (tiramisu::expr size)
std::vector< communicator * >	collapse (int level, tiramisu::expr collapse_from_iter, tiramisu::expr collapse_until_iter, tiramisu::expr num_collapsed)
	Collapse a loop level. More...
void	collapse_many (std::vector< collapse_group > collapse_each)
	Collapse several consecutive loop levels (must collapse from innermost towards outermost). More...
Public Member Functions inherited from tiramisu::computation
	computation (std::string iteration_domain, tiramisu::expr e, bool schedule_this_computation, tiramisu::primitive_t t, tiramisu::function *fct)
	Constructor for computations. More...
	computation (std::string name, std::vector< var > iterator_variables, tiramisu::expr e, bool schedule_this_computation)
	Constructor for computations. More...
	computation (std::vector< var > iterator_variables, tiramisu::expr e)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
	computation (std::string name, std::vector< var > iterator_variables, tiramisu::expr e)
	Constructor for computations. More...
	computation (std::vector< var > iterator_variables, tiramisu::expr e, bool schedule_this_computation)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
	computation (std::string name, std::vector< var > iterator_variables, primitive_t t)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.t is the type of the computation, i.e. More...
	computation (std::vector< var > iterator_variables, primitive_t t)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
virtual bool	is_send () const
virtual bool	is_recv () const
virtual bool	is_send_recv () const
void	add_associated_let_stmt (std::string access_name, tiramisu::expr e)
	Add a let statement that is associated to this computation. More...
void	unschedule_this_computation ()
	Don't scheduled a previously scheduled computation. More...
void	add_predicate (tiramisu::expr predicate)
	Add a predicate (condition) on the computation. More...
void	after (computation &comp, tiramisu::var iterator)
	Schedule this computation to run after the computation comp. More...
void	after (computation &comp, int level)
	This function is equivalent to void after(computation &comp, tiramisu::var iterator); except that it uses loop level numbers (0, 1, 2, ...) instead of using loop variables (tiramisu::var). More...
void	allocate_and_map_buffer_automatically (tiramisu::argument_t type=tiramisu::a_temporary)
void	apply_transformation_on_schedule (std::string map_str)
	Apply a transformation on the schedule. More...
void	between (computation &before_comp, tiramisu::var before_l, computation &after_comp, tiramisu::var after_l)
	Schedule this computation to run after before_comp at the loop level before_l, and before after_comp at loop level after_l. More...
tiramisu::buffer *	get_automatically_allocated_buffer ()
	Return the buffer that was allocated automatically using high level data mapping functions. More...
void	interchange (tiramisu::var L0, tiramisu::var L1)
	Interchange (swap) the two loop levels L0 and L1. More...
void	interchange (int L0, int L1)
	Identical to void interchange(tiramisu::var L0, tiramisu::var L1);. More...
void	mark_as_let_statement ()
	Mark this statement as a let statement. More...
void	mark_as_library_call ()
	Mark this statement as a library call. More...
void	parallelize (tiramisu::var L)
	Tag the loop level L to be parallelized. More...
void	set_wait_access (std::string access_str)
void	set_wait_access (isl_map *access)
void	set_expression (const tiramisu::expr &e)
	Set the expression of the computation. More...
void	set_inline (bool is_inline=true)
	Sets whether the computation is inline or not, based on the value of is_inline. More...
const bool	is_inline_computation () const
	Returns true if and only if the computation is inline. More...
void	shift (tiramisu::var L0, int n)
	Shift the loop level L0 of the iteration space by n iterations. More...
void	skew (tiramisu::var i, tiramisu::var j, int f, tiramisu::var ni, tiramisu::var nj)
	Apply loop skewing on the loop levels i and j with a skewing factor of f. More...
void	skew (tiramisu::var i, tiramisu::var j, tiramisu::var k, int factor, tiramisu::var ni, tiramisu::var nj, tiramisu::var nk)
	Apply loop skewing on the loop levels i, j and k with a skewing factor of f. More...
void	skew (tiramisu::var i, tiramisu::var j, tiramisu::var k, tiramisu::var l, int factor, tiramisu::var ni, tiramisu::var nj, tiramisu::var nk, tiramisu::var nl)
	Apply loop skewing on the loop levels i, j, k, l with a skewing factor of f. More...
void	skew (tiramisu::var i, tiramisu::var j, int factor)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
void	skew (tiramisu::var i, tiramisu::var j, tiramisu::var k, int factor)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
void	skew (tiramisu::var i, tiramisu::var j, tiramisu::var k, tiramisu::var l, int factor)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
void	skew (int i, int j, int factor)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
void	skew (int i, int j, int k, int factor)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
void	skew (int i, int j, int k, int l, int factor)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
void	split (int L0, int sizeX)
	Identical to void split(tiramisu::var L0, int sizeX);. More...
void	storage_fold (tiramisu::var dim, int f)
	Fold the storage of the computation. More...
tiramisu::computation *	store_at (tiramisu::computation &comp, tiramisu::var L0)
	Allocate the storage of this computation in the loop level L0. More...
void	tag_parallel_level (tiramisu::var L)
	Tag the loop level L to be parallelized. More...
void	tag_parallel_level (int L)
	Identical to void tag_parallel_level(int L);. More...
void	tag_vector_level (tiramisu::var L, int len)
	Tag the loop level L to be vectorized. More...
void	tag_vector_level (int L, int len)
	Identical to void tag_vector_level(tiramisu::var L, int len);. More...
void	tag_unroll_level (tiramisu::var L)
	Tag the loop level L to be unrolled. More...
void	tag_unroll_level (int L)
	Identical to void tag_unroll_level(tiramisu::var L);. More...
template<typename... Args>
tiramisu::expr	operator() (Args...args)
	Access operator: C0(i,j) represents an access to the element (i,j) of the computation C0. More...
	operator expr ()
void	after_low_level (computation &comp, int level)
	Schedule this computation to run after the computation comp. More...
void	after_low_level (computation &comp, std::vector< int > levels)
	Schedule this computation to run after the computation comp. More...
void	before (computation &consumer, tiramisu::var L)
	Schedule this computation to run before the computation consumer at the loop level L. More...
void	store_in (buffer *buff)
	Store this computation in buff. More...
void	store_in (buffer *buff, std::vector< expr > iterators)
	Store this computation in buff. More...
void	compute_at (computation &consumer, tiramisu::var L)
	This function assumes that consumer consumes values produced by this computation (which is the producer). More...
void	compute_at (computation &consumer, int L)
	Store this computation in buff. More...
int	compute_maximal_AST_depth ()
	Generates the time-space domain and construct an AST that scans that time-space domain, then compute the depth of this AST. More...
void	dump_iteration_domain () const
	Dump the iteration domain of the computation. More...
void	dump_schedule () const
	Dump the schedule of the computation. More...
void	dump () const
	Dump the computation on stdout. More...
void	fuse_after (tiramisu::var lev, computation &comp)
	Fuse this computation with the computation passed as argument in the same loop. More...
void	gen_time_space_domain ()
	Generate the time-space domain of the computation. More...
void	drop_rank_iter (var level)
	Specify that the rank loop iterator should be removed from linearization. More...
tiramisu::primitive_t	get_data_type () const
	Get the data type of the computation. More...
const tiramisu::expr &	get_expr () const
	Return the Tiramisu expression associated with the computation. More...
isl_set *	get_iteration_domain () const
	Return the iteration domain of the computation. More...
tiramisu::computation &	get_last_update ()
	Get the last update of a computation. More...
int	get_loop_level_number_from_dimension_name (std::string dim_name)
	Search the time-space domain (the range of the schedule) and return the loop level number that correspond to the dimension named dim. More...
const std::string &	get_name () const
	Return the name of the computation. More...
computation *	get_predecessor ()
	Returns a pointer to the computation scheduled immediately before this computation, or a null pointer if none exist. More...
tiramisu::computation &	get_update (int index)
	Returns the index update that has been added to this computation such that: More...
isl_map *	get_schedule () const
	Get the schedule of the computation. More...
void	gpu_tile (tiramisu::var L0, tiramisu::var L1, int sizeX, int sizeY)
	Tile the computation and then tag the outermost tile dimension to be mapped to GPU blocks and tag the innermost tile dimensions to be mapped to GPU threads. More...
void	gpu_tile (tiramisu::var L0, tiramisu::var L1, int sizeX, int sizeY, tiramisu::var L0_outer, tiramisu::var L1_outer, tiramisu::var L0_inner, tiramisu::var L1_inner)
	Store this computation in buff. More...
void	gpu_tile (tiramisu::var L0, tiramisu::var L1, tiramisu::var L2, int sizeX, int sizeY, int sizeZ)
	Store this computation in buff. More...
void	gpu_tile (tiramisu::var L0, tiramisu::var L1, tiramisu::var L2, int sizeX, int sizeY, int sizeZ, tiramisu::var L0_outer, tiramisu::var L1_outer, tiramisu::var L2_outer, tiramisu::var L0_inner, tiramisu::var L1_inner, tiramisu::var L2_inner)
	Store this computation in buff. More...
void	set_access (std::string access_str)
	Set the access relation of the computation. More...
void	set_access (isl_map *access)
	Set the access relation of the computation. More...
void	set_low_level_schedule (isl_map *map)
	Set the schedule indicated by map. More...
void	set_low_level_schedule (std::string map_str)
	Set the schedule indicated by map. More...
void	split (tiramisu::var L0, int sizeX)
	Split the loop level L0 of the iteration space into two new loop levels. More...
void	split (tiramisu::var L0, int sizeX, tiramisu::var L0_outer, tiramisu::var L0_inner)
	Split the loop level L0 of the iteration space into two new loop levels. More...
void	tag_gpu_level (tiramisu::var L0, tiramisu::var L1)
	Tag the loop level L0 and L1 to be mapped to GPU. More...
void	tag_gpu_level (tiramisu::var L0, tiramisu::var L1, tiramisu::var L2, tiramisu::var L3)
	Tag the loop level L0 and L1 to be mapped to GPU. More...
void	tag_gpu_level (tiramisu::var L0, tiramisu::var L1, tiramisu::var L2, tiramisu::var L3, tiramisu::var L4, tiramisu::var L5)
	Tag the loop level L0 and L1 to be mapped to GPU. More...
void	tag_distribute_level (tiramisu::var L)
	Tag the loop level L to be distributed. More...
void	tag_distribute_level (int L)
	Tag the loop level L to be distributed. More...
computation &	then (computation &next_computation, tiramisu::var L)
	Schedule this computation to run before the computation next_computation at the loop level L and return next_computation. More...
void	tile (tiramisu::var L0, tiramisu::var L1, int sizeX, int sizeY)
	Tile the two loop levels L0 and L1 with rectangular tiling. More...
void	tile (tiramisu::var L0, tiramisu::var L1, int sizeX, int sizeY, tiramisu::var L0_outer, tiramisu::var L1_outer, tiramisu::var L0_inner, tiramisu::var L1_inner)
	Tile the two loop levels L0 and L1 with rectangular tiling. More...
void	tile (tiramisu::var L0, tiramisu::var L1, tiramisu::var L2, int sizeX, int sizeY, int sizeZ)
	Tile the two loop levels L0 and L1 with rectangular tiling. More...
void	tile (tiramisu::var L0, tiramisu::var L1, tiramisu::var L2, int sizeX, int sizeY, int sizeZ, tiramisu::var L0_outer, tiramisu::var L1_outer, tiramisu::var L2_outer, tiramisu::var L0_inner, tiramisu::var L1_inner, tiramisu::var L2_inner)
	Tile the two loop levels L0 and L1 with rectangular tiling. More...
void	tile (int L0, int L1, int sizeX, int sizeY)
	Tile the two loop levels L0 and L1 with rectangular tiling. More...
void	tile (int L0, int L1, int L2, int sizeX, int sizeY, int sizeZ)
	Tile the two loop levels L0 and L1 with rectangular tiling. More...
void	unroll (tiramisu::var L, int fac)
	Unroll the loop level L with an unrolling factor fac. More...
void	unroll (tiramisu::var L, int fac, tiramisu::var L_outer, tiramisu::var L_inner)
	Unroll the loop level L with an unrolling factor fac. More...
void	vectorize (tiramisu::var L, int v)
	Vectorize the loop level L. More...
void	vectorize (tiramisu::var L, int v, tiramisu::var L_outer, tiramisu::var L_inner)
	Vectorize the loop level L. More...

Additional Inherited Members
Static Public Member Functions inherited from tiramisu::computation
static xfer	create_xfer (std::string send_iter_domain, std::string recv_iter_domain, tiramisu::expr send_dest, tiramisu::expr recv_src, xfer_prop send_prop, xfer_prop recv_prop, tiramisu::expr send_expr, tiramisu::function *fct)
static xfer	create_xfer (std::string iter_domain, xfer_prop prop, tiramisu::expr expr, tiramisu::function *fct)
Static Public Attributes inherited from tiramisu::computation
static const var	root
	root_dimension is a number used to specify the dimension level known as root. More...
static const int	root_dimension = -1
	Equivalent of computation::root but to be used with scheduling functions that take loop level (integers) as input instead of tiramisu::var. More...
Protected Member Functions inherited from tiramisu::communicator
	communicator ()
Protected Member Functions inherited from tiramisu::computation
	computation ()
	Dummy constructor for derived classes. More...
std::vector< tiramisu::expr > *	compute_buffer_size ()
	Compute the size of the buffer allocated automatically to hold the results of this computation. More...
isl_ctx *	get_ctx () const
	Return the context of the computations. More...
tiramisu::expr	get_predicate ()
	Return the predicate around this computation if a predicate was added using add_predicate(). More...
const std::string	get_unique_name () const
	Return a unique name of computation; made of the following pattern: [computation name]@[computation address in memory]. More...
bool	has_multiple_definitions ()
	Return true if the computation has multiple definitions. More...
void	init_computation (std::string iteration_space_str, tiramisu::function *fct, const tiramisu::expr &e, bool schedule_this_computation, tiramisu::primitive_t t)
	Initialize a computation. More...
void	set_name (const std::string &n)
	Set the name of the computation. More...
void	full_loop_level_collapse (int level, tiramisu::expr collapse_from_iter)
	Collapse all the iterations of a loop into one single iteration. More...
	computation (std::string name, std::vector< var > iterator_variables, tiramisu::expr e, bool schedule_this_computation, primitive_t t)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
void	set_schedule (isl_map *map)
	Set the schedule indicated by map. More...
void	set_schedule (std::string map_str)
	Set the schedule indicated by map. More...
Protected Attributes inherited from tiramisu::communicator
xfer_prop	prop
Protected Attributes inherited from tiramisu::computation
bool	_is_library_call
	True if this computation represents a library call. More...
std::string	library_call_name
	If the computation represents a library call, this is the name of the function. More...
isl_ast_expr *	wait_index_expr
	An index expression just for the request buffer. More...

Detailed Description

Definition at line 4691 of file core.h.

Constructor & Destructor Documentation

tiramisu::wait::wait	(	tiramisu::expr	rhs,
		xfer_prop	prop,
		tiramisu::function *	fct
	)

tiramisu::wait::wait	(	std::string	iteration_domain_str,
		tiramisu::expr	rhs,
		xfer_prop	prop,
		bool	schedule_this,
		tiramisu::function *	fct
	)

Member Function Documentation

virtual void tiramisu::wait::add_definitions ( std::string  iteration_domain_str, tiramisu::expr  e, bool  schedule_this_computation, tiramisu::primitive_t  t, tiramisu::function *  fct  )

overridevirtual

Add definitions of computations that have the same name as this computation.

The arguments of this function are identical to the arguments of the computation constructor. In general, this function is used to express reductions and to express computation updates.

In other words, this function should be used if the user has already declared a set of computations C and wants to declare more computations that have the same name.

Example: Let's assume we want to declare the following two computations.

// First computation
{C[i]: 0<=i<10}: 0

// Second computation
{C[i]: 10<=i<20}: 1

To do this this, we can declare the first computation using the computation constructor and declare the second computation using add_definitions().

The use of add_computation is purely due to restrictions imposed by the C++ language and not by the Tiramisu framework itself. This is mainly because in C++, it is not possible to declare two objects with the same name, for example one cannot do

computation C(...); computation C(...);

In order to declare the second set of computations, we chose to use the add_definitions function to avoid this problem.

The newly added computations must have the same name and the same access function as the initial set of computations but can have a different expression.

An example of using this function is available in test_26.

Reimplemented from tiramisu::computation.

std::vector<tiramisu::computation *> tiramisu::wait::get_op_to_wait_on

(

)

const

virtual bool tiramisu::wait::is_wait ( ) const

overridevirtual

Reimplemented from tiramisu::computation.

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

• core.h