org.deeplearning4j.iterativereduce.impl.multilayer.Master 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.iterativereduce.impl.multilayer;
import java.io.DataOutputStream;
import java.io.IOException;
import java.util.Collection;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.util.ToolRunner;
import org.deeplearning4j.scaleout.api.ir.ParameterVectorUpdateable;
import org.deeplearning4j.iterativereduce.runtime.ComputableMaster;
import org.deeplearning4j.iterativereduce.runtime.yarn.appmaster.ApplicationMaster;
import org.nd4j.linalg.factory.Nd4j;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* Master node:
*
*
*/
public class Master implements ComputableMaster {
ParameterVectorUpdateable lastMasterUpdate = null;
protected Configuration conf = null;
protected static final Logger log = LoggerFactory.getLogger(Master.class);
/**
* Q: "is compute() called before complete() is called in last epoch?"
*
*
*/
@Override
public void complete(DataOutputStream osStream) throws IOException {
log.info( "IR DBN Master Node: Complete!" );
Nd4j.write(lastMasterUpdate.get(),osStream);
}
/**
* Master::Compute
*
* This is where the worker parameter averaged updates come in and are processed
*
*/
@Override
public ParameterVectorUpdateable compute(
Collection workerUpdates,
Collection masterUpdates) {
log.info( "--------------- Master::Compute() -------------- " );
ParameterVectorUpdateable first = null;
for(ParameterVectorUpdateable update : workerUpdates) {
if(first == null)
first = update;
else
first.get().addi(update.get());
}
first.get().divi(workerUpdates.size());
lastMasterUpdate = first;
return first;
}
@Override
public ParameterVectorUpdateable getResults() {
return this.lastMasterUpdate;
}
@Override
public void setup(Configuration c) {
}
public static void main(String[] args) throws Exception {
Master pmn = new Master();
ApplicationMaster am = new ApplicationMaster<>(
pmn, ParameterVectorUpdateable.class);
ToolRunner.run(am, args);
}
}