/* * 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(); }