/*
* 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();
}
}