org.nd4j.linalg.api.ops.impl.loss.MeanSquaredErrorLoss Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
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package org.nd4j.linalg.api.ops.impl.loss;
import org.nd4j.autodiff.loss.LossReduce;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.impl.loss.bp.MeanSquaredErrorLossBp;
import java.util.List;
public class MeanSquaredErrorLoss extends BaseLoss {
public MeanSquaredErrorLoss(SameDiff sameDiff, LossReduce lossReduce, SDVariable predictions, SDVariable weights, SDVariable labels){
super(sameDiff, lossReduce, predictions, weights, labels);
}
public MeanSquaredErrorLoss(SameDiff sameDiff, SDVariable labels, SDVariable predictions, SDVariable weights,
LossReduce lossReduce) {
this(sameDiff, lossReduce, predictions, weights, labels);
}
public MeanSquaredErrorLoss(INDArray labels, INDArray predictions, INDArray weights, LossReduce lossReduce){
super(lossReduce, predictions, weights, labels);
}
public MeanSquaredErrorLoss(){ }
@Override
public String opName() {
return "mean_sqerr_loss";
}
@Override
public List doDiff(List grad){
//No external gradient
//Args are: predictions, weights, label
return new MeanSquaredErrorLossBp(sameDiff, lossReduce, arg(0), arg(1), arg(2)).outputs();
}
}