#include <CostModel.h>

Public Attributes
int	parallelism = 16
	Maximum level of parallelism available.

int	beam_size = 32
	Beam size to use in the beam search.

int	random_dropout = 100
	percent chance of accepting each state in the beam.

int	random_dropout_seed = 0
	Random seed used by the random dropout.

std::string	weights_path
	When training or schedule, read weights from this directory or file.

int	disable_subtiling = 0
	If set to nonzero value: limits the search space to that of Mullapudi et al.

int	disable_memoized_features = 0
	If set to nonzero value: features of possible schedules are always recalculated, and are not cached across passes.

int	disable_memoized_blocks = 0
	If set to nonzero value: tiling sizes are not cached across passes.

int64_t	memory_limit = -1
	If >= 0, only consider schedules that allocate at most this much memory (measured in bytes).

Detailed Description

Definition at line 19 of file CostModel.h.

Member Data Documentation

◆ parallelism

int Halide::Internal::Autoscheduler::Adams2019Params::parallelism = 16

Maximum level of parallelism available.

Definition at line 21 of file CostModel.h.

◆ beam_size

int Halide::Internal::Autoscheduler::Adams2019Params::beam_size = 32

Beam size to use in the beam search.

Defaults to 32. Use 1 to get a greedy search instead. Formerly HL_BEAM_SIZE

Definition at line 25 of file CostModel.h.

◆ random_dropout

int Halide::Internal::Autoscheduler::Adams2019Params::random_dropout = 100

percent chance of accepting each state in the beam.

Normalized by the number of decisions made, so 5 would be there's a 5 percent chance of never rejecting any states. Formerly HL_RANDOM_DROPOUT

Definition at line 30 of file CostModel.h.

◆ random_dropout_seed

int Halide::Internal::Autoscheduler::Adams2019Params::random_dropout_seed = 0

Random seed used by the random dropout.

If 0, use time(). Formerly HL_SEED

Definition at line 34 of file CostModel.h.

◆ weights_path

std::string Halide::Internal::Autoscheduler::Adams2019Params::weights_path

When training or schedule, read weights from this directory or file.

(If path ends in .weights it is written as a single file, otherwise a directory of files.) Formerly HL_WEIGHTS_DIR

Definition at line 39 of file CostModel.h.

◆ disable_subtiling

int Halide::Internal::Autoscheduler::Adams2019Params::disable_subtiling = 0

If set to nonzero value: limits the search space to that of Mullapudi et al.

Formerly HL_NO_SUBTILING

Definition at line 43 of file CostModel.h.

◆ disable_memoized_features

int Halide::Internal::Autoscheduler::Adams2019Params::disable_memoized_features = 0

If set to nonzero value: features of possible schedules are always recalculated, and are not cached across passes.

Formerly HL_DISABLE_MEMOIZED_FEATURES

Definition at line 47 of file CostModel.h.

Referenced by Halide::Internal::Autoscheduler::CachingOptions::MakeOptionsFromParams().

◆ disable_memoized_blocks

int Halide::Internal::Autoscheduler::Adams2019Params::disable_memoized_blocks = 0

If set to nonzero value: tiling sizes are not cached across passes.

Formerly HL_DISABLE_MEMOIZED_BLOCKS

Definition at line 51 of file CostModel.h.

Referenced by Halide::Internal::Autoscheduler::CachingOptions::MakeOptionsFromParams().

◆ memory_limit

int64_t Halide::Internal::Autoscheduler::Adams2019Params::memory_limit = -1

If >= 0, only consider schedules that allocate at most this much memory (measured in bytes).

Formerly HL_AUTOSCHEDULE_MEMORY_LIMIT

Definition at line 55 of file CostModel.h.

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

src/autoschedulers/adams2019/CostModel.h

Public Attributes