/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.neural.networks.training.concurrent.performers;
import org.encog.neural.networks.training.concurrent.ConcurrentTrainingManager;
import org.encog.neural.networks.training.concurrent.jobs.TrainingJob;
/**
* Performers actually perform the training. Currently there are performers for
* OpenCL and CPU.
*
*/
public interface ConcurrentTrainingPerformer extends Runnable {
/**
* @return True, if this performer is ready to train a job.
*/
boolean ready();
/**
* Perform the specified job.
* @param job The job to perform.
*/
void perform(TrainingJob job);
/**
* Set the manager.
* @param manager The manager.
*/
void setManager(ConcurrentTrainingManager manager);
/**
* Get the manager.
* @return The manager
*/
ConcurrentTrainingManager getManager();
}