C# Class Encog.Neural.Networks.Training.Concurrent.ConcurrentTrainingManager

Concurrent training manager. This class allows you to queue up network training tasks to be executed either by the CPU cores or OpenCL devices. This allows the CPU/GPU to train neural networks at the same time.

ファイルを表示 Open project: encog/encog-silverlight-core

Public Methods

Method	Description
AddPerformer ( IConcurrentTrainingPerformer performer ) : void	Add a performer.
AddTrainingJob ( TrainingJob job ) : void	Add a training job.
ClearPerformers ( ) : void	Clear all of the performers.
ClearQueue ( ) : void	Clear the workload.
DetectPerformers ( ) : void	Detect performers. Create one performer for each OpenCL device, and another for the CPU's. If there is an OpenCL device already for the CPU, do not create another CPU performer.
DetectPerformers ( bool splitCores, int forceCoreCount ) : void	Detect performers. Create one performer for each OpenCL device, and another for the CPU's. If there is an OpenCL device already for the CPU, do not create another CPU performer.
JobDone ( long time, ConcurrentTrainingPerformerCPU perf ) : void	Report that a job is done.
Join ( ) : void	Wait for all tasks to finish.
Run ( ) : void	Perform the training. Called internally.
Start ( ) : void	Start the manager.
ToString ( ) : String
WaitForFreePerformer ( TrainingJob job ) : IConcurrentTrainingPerformer	Wait for a free performer.

Private Methods

Method	Description
ConcurrentTrainingManager ( ) : System	Private constructor.
ReportErrors ( ) : void	If an error has been reported, then throw it as an exception.
ReportStatus ( String str ) : void	Report the status.

Method Details

AddPerformer() public method

Add a performer.

public AddPerformer ( IConcurrentTrainingPerformer performer ) : void
performer	IConcurrentTrainingPerformer	The performer to add.
return	void

AddTrainingJob() public method

Add a training job.

public AddTrainingJob ( TrainingJob job ) : void
job	Encog.Neural.Networks.Training.Concurrent.Jobs.TrainingJob	The training job to add.
return	void

ClearPerformers() public method

Clear all of the performers.

public ClearPerformers ( ) : void
return	void

ClearQueue() public method

Clear the workload.

public ClearQueue ( ) : void
return	void

DetectPerformers() public method

Detect performers. Create one performer for each OpenCL device, and another for the CPU's. If there is an OpenCL device already for the CPU, do not create another CPU performer.

public DetectPerformers ( ) : void
return	void

DetectPerformers() public method

Detect performers. Create one performer for each OpenCL device, and another for the CPU's. If there is an OpenCL device already for the CPU, do not create another CPU performer.

public DetectPerformers ( bool splitCores, int forceCoreCount ) : void
splitCores	bool	True, if a CPU performer should be created for each core.
forceCoreCount	int	The core count to be forced.
return	void

JobDone() public method

Report that a job is done.

public JobDone ( long time, ConcurrentTrainingPerformerCPU perf ) : void
time	long	Time took by the job.
perf	Encog.Neural.Networks.Training.Concurrent.Performers.ConcurrentTrainingPerformerCPU	The perfofmer that did the job.
return	void

Join() public method

Wait for all tasks to finish.

public Join ( ) : void
return	void

Run() public method

Perform the training. Called internally.

public Run ( ) : void
return	void

Start() public method

Start the manager.

public Start ( ) : void
return	void

ToString() public method

public ToString ( ) : String
return	String

WaitForFreePerformer() public method

Wait for a free performer.

public WaitForFreePerformer ( TrainingJob job ) : IConcurrentTrainingPerformer
job	TrainingJob
return	IConcurrentTrainingPerformer