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package ml;
import java.util.ArrayList;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.locks.ReentrantReadWriteLock;
public class JobData {
JobData(final CellNet net_, final ArrayBlockingQueue<JobResults> jrq_,
final int epoch_, final int maxSamples_, final double alpha_,
boolean backprop_, final float weightMult_, final boolean sort_, final boolean doCopy_,
ArrayList<Sample> list_, Sample[] set_, ReentrantReadWriteLock setLock_, final int jid_, final int jpe_){
// if(jid_>-1) {
// System.err.println("Called new JobData("+(net_==null ? "null" : ""+net_.dims)+", "+
// jrq_+", "+epoch_+", "+maxSamples_+", "+alpha_+", "+backprop_+", "+
// sort_+", "+(list_==null ? "null" : ""+list_.size())+", "+set_+", "+jid_+")");
//
// System.err.println("JD: maxSamples_="+maxSamples_+", list_="+
// (list_==null ? "null" : ""+list_.size()));
// }
immutableNet=net_;
jobResultsQueue=jrq_;
epoch=epoch_;
maxSamples=maxSamples_;
alpha=alpha_;
backprop=backprop_;
weightMult=weightMult_;
sort=sort_;
doCopy=doCopy_;
list=list_;
set=set_;
setLock=setLock_;
jid=jid_;
jobsPerEpoch=jpe_;
assert(jid_==-1 || maxSamples>0) :
maxSamples+", "+(list_==null ? "null" : ""+list_.size())+", "+epoch+", "+jid_;
}
public String toString() {
return "jD: epoch="+epoch+", max="+maxSamples+", len="+list.size()+", back="+backprop+", sort="+sort;
}
final CellNet immutableNet;
CellNet mutableNet;//Optional and mutable
final ArrayBlockingQueue<JobResults> jobResultsQueue;
final int epoch;
final int maxSamples;
final double alpha;
final boolean backprop;
final float weightMult;
final boolean sort;
final boolean doCopy;
final int jid;
final int jobsPerEpoch;
final ArrayList<Sample> list;//Only samples for this job
final Sample[] set;//All samples
final ReentrantReadWriteLock setLock;
static final JobData POISON=new JobData(null, null, -1, -1, -1, false, 0.0f, false, false, null, null, null, -1, -1);
}
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