Managed reference to SearchStrategyNode. More...

#include <search_strategy.h>

Inheritance diagram for tvm::meta_schedule::SearchStrategy:

Collaboration diagram for tvm::meta_schedule::SearchStrategy:

Public Types
using	FInitializeWithTuneContext = ffi::TypedFunction< void(const TuneContext &)>
	The function type of `InitializeWithTuneContext` method. More...

using	FPreTuning = ffi::TypedFunction< void(int max_trials, int num_trials_per_iter, const ffi::Array< tir::Schedule > &, const ffi::Optional< Database > &, const ffi::Optional< CostModel > &)>
	The function type of `PreTuning` method. More...

using	FPostTuning = ffi::TypedFunction< void()>
	The function type of `PostTuning` method. More...

using	FGenerateMeasureCandidates = ffi::TypedFunction< ffi::Optional< ffi::Array< MeasureCandidate > >()>
	The function type of `GenerateMeasureCandidates` method. More...

using	FNotifyRunnerResults = ffi::TypedFunction< void(const ffi::Array< MeasureCandidate > &, const ffi::Array< RunnerResult > &)>
	The function type of `NotifyRunnerResults` method. More...

using	FClone = ffi::TypedFunction< SearchStrategy()>
	The function type of `Clone` method. More...

Public Member Functions
	TVM_FFI_DEFINE_OBJECT_REF_METHODS_NULLABLE (SearchStrategy, ObjectRef, SearchStrategyNode)

Static Public Member Functions
static SearchStrategy	PySearchStrategy (FInitializeWithTuneContext f_initialize_with_tune_context, FPreTuning f_pre_tuning, FPostTuning f_post_tuning, FGenerateMeasureCandidates f_generate_measure_candidates, FNotifyRunnerResults f_notify_runner_results, FClone f_clone)
	Create a search strategy with customized methods on the python-side. More...

static SearchStrategy	ReplayTrace (int max_fail_count)
	Constructor of replay trace search strategy. More...

static SearchStrategy	ReplayFunc ()
	Constructor of replay func search strategy. More...

static SearchStrategy	EvolutionarySearch (int population_size, double init_measured_ratio, int init_min_unmeasured, int max_fail_count, int genetic_num_iters, double genetic_mutate_prob, int genetic_max_fail_count, double eps_greedy)
	Constructor of evolutionary search strategy. More...

Detailed Description

Managed reference to SearchStrategyNode.

See also: SearchStrategyNode

Member Typedef Documentation

◆ FClone

using tvm::meta_schedule::SearchStrategy::FClone = ffi::TypedFunction<SearchStrategy()>

The function type of Clone method.

Returns: The cloned search strategy.

◆ FGenerateMeasureCandidates

using tvm::meta_schedule::SearchStrategy::FGenerateMeasureCandidates = ffi::TypedFunction<ffi::Optional<ffi::Array<MeasureCandidate> >()>

The function type of GenerateMeasureCandidates method.

Returns: The measure candidates generated, nullptr if finished.

◆ FInitializeWithTuneContext

using tvm::meta_schedule::SearchStrategy::FInitializeWithTuneContext = ffi::TypedFunction<void(const TuneContext&)>

The function type of InitializeWithTuneContext method.

Parameters

context The tuning context for initialization.

◆ FNotifyRunnerResults

using tvm::meta_schedule::SearchStrategy::FNotifyRunnerResults = ffi::TypedFunction<void(const ffi::Array<MeasureCandidate>&, const ffi::Array<RunnerResult>&)>

The function type of NotifyRunnerResults method.

Parameters

results The measurement results from the runner.

◆ FPostTuning

using tvm::meta_schedule::SearchStrategy::FPostTuning = ffi::TypedFunction<void()>

The function type of PostTuning method.

◆ FPreTuning

using tvm::meta_schedule::SearchStrategy::FPreTuning = ffi::TypedFunction<void( int max_trials, int num_trials_per_iter, const ffi::Array<tir::Schedule>&, const ffi::Optional<Database>&, const ffi::Optional<CostModel>&)>

The function type of PreTuning method.

Member Function Documentation

◆ EvolutionarySearch()

static SearchStrategy tvm::meta_schedule::SearchStrategy::EvolutionarySearch	(	int	population_size,
		double	init_measured_ratio,
		int	init_min_unmeasured,
		int	max_fail_count,
		int	genetic_num_iters,
		double	genetic_mutate_prob,
		int	genetic_max_fail_count,
		double	eps_greedy
	)

static

Constructor of evolutionary search strategy.

Parameters

population_size	The initial sample population.
init_measured_ratio	The ratio of measures samples in initial population.
init_min_unmeasured	The minimal size of unmeasured population in the initial sampling.
max_fail_count	The max number of failure during initial sampling.
genetic_num_iters	The iterations to run the genetic algorithm.
genetic_mutate_prob	The probability of mutation.
genetic_max_fail_count	The maximum number to try evolving the given trace.
eps_greedy	The ratio to select samples in a greedy fashion via their predicted score.

◆ PySearchStrategy()

static SearchStrategy tvm::meta_schedule::SearchStrategy::PySearchStrategy	(	FInitializeWithTuneContext	f_initialize_with_tune_context,
		FPreTuning	f_pre_tuning,
		FPostTuning	f_post_tuning,
		FGenerateMeasureCandidates	f_generate_measure_candidates,
		FNotifyRunnerResults	f_notify_runner_results,
		FClone	f_clone
	)

static

Create a search strategy with customized methods on the python-side.

Parameters

f_initialize_with_tune_context	The packed function of `InitializeWithTuneContext`.
f_pre_tuning	The packed function of `PreTuning`.
f_post_tuning	The packed function of `PostTuning`.
f_generate_measure_candidates	The packed function of `GenerateMeasureCandidates`.
f_notify_runner_results	The packed function of `NotifyRunnerResults`.
f_clone	The packed function of `Clone`.

Returns: The search strategy created.

◆ ReplayFunc()

static SearchStrategy tvm::meta_schedule::SearchStrategy::ReplayFunc ( )

static

Constructor of replay func search strategy.

◆ ReplayTrace()

static SearchStrategy tvm::meta_schedule::SearchStrategy::ReplayTrace ( int max_fail_count )

static

Constructor of replay trace search strategy.

Parameters

max_fail_count The max number of failures during trace replaying.

◆ TVM_FFI_DEFINE_OBJECT_REF_METHODS_NULLABLE()

tvm::meta_schedule::SearchStrategy::TVM_FFI_DEFINE_OBJECT_REF_METHODS_NULLABLE	(	SearchStrategy	,
		ObjectRef	,
		SearchStrategyNode
	)

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

include/tvm/meta_schedule/search_strategy.h

Public Types

Public Member Functions

Static Public Member Functions

Detailed Description

Member Typedef Documentation

◆ FClone

◆ FGenerateMeasureCandidates

◆ FInitializeWithTuneContext

◆ FNotifyRunnerResults

◆ FPostTuning

◆ FPreTuning

Member Function Documentation

◆ EvolutionarySearch()

◆ PySearchStrategy()

◆ ReplayFunc()

◆ ReplayTrace()

◆ TVM_FFI_DEFINE_OBJECT_REF_METHODS_NULLABLE()