org.deeplearning4j.scaleout.aggregator.INDArrayAggregator Maven / Gradle / Ivy
/*
*
* * Copyright 2015 Skymind,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.
*
*/
package org.deeplearning4j.scaleout.aggregator;
import org.canova.api.conf.Configuration;
import org.deeplearning4j.scaleout.job.Job;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* INDArray averager
*
* @author Adam Gibson
*/
public class INDArrayAggregator extends WorkAccumulator {
private INDArray averaged;
private static final Logger log = LoggerFactory.getLogger(INDArrayAggregator.class);
@Override
public void accumulate(Job toAccumulate) {
if(toAccumulate.getResult() == null || !(toAccumulate.getResult() instanceof INDArray)) {
log.warn("Not accumulating result: must be of type INDArray and not null");
return;
}
INDArray arr = (INDArray) toAccumulate.getResult();
seenSoFar++;
if(averaged == null) {
this.averaged = arr;
}
else {
averaged.addi(arr);
}
}
@Override
public Job aggregate() {
if(averaged == null)
return empty();
Job ret = new Job(averaged.div(seenSoFar),"");
seenSoFar = 0.0;
return ret;
}
@Override
public void init(Configuration conf) {
//no-op
}
}