/* * Encog(tm) Core v2.5 - Java Version * http://www.heatonresearch.com/encog/ * http://code.google.com/p/encog-java/ * Copyright 2008-2010 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.Encog; import org.encog.engine.opencl.EncogCLDevice; import org.encog.neural.NeuralNetworkError; /** * This performer allows jobs to be performed by the CPU. * */ public class ConcurrentTrainingPerformerOpenCL extends ConcurrentTrainingPerformerCPU { /** * The OpenCL device to use. */ private final EncogCLDevice device; /** * Construct an OpenCL device performer. * @param device The device to use. */ public ConcurrentTrainingPerformerOpenCL(int number, final EncogCLDevice device) { super(number); if (Encog.getInstance().getCL() == null) { throw new NeuralNetworkError( "Can't use an OpenCL performer, because OpenCL " + "is not enabled."); } if (Encog.getInstance().getCL() == null) { throw new NeuralNetworkError("Can't use a null OpenCL device."); } this.device = device; } /** * @return the device */ public EncogCLDevice getDevice() { return this.device; } public String toString() { StringBuilder result = new StringBuilder(); result.append("["); result.append(this.getNumber()); result.append(":OpenCL-Performer: "); result.append(device.toString()); result.append("]"); return result.toString(); } }