org.nd4j.linalg.api.ops.impl.loss.MeanSquaredErrorLoss Maven / Gradle / Ivy
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 java.util.Arrays;
import java.util.List;
/**
* Mean squared error loss
*
* @author Alex Black
*/
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(){ }
@Override
public String opName() {
return "mean_sqerr_loss";
}
@Override
public List doDiff(List grad){
//No external gradient
//Args are: predictions, weights, label
SDVariable[] grads = f().lossMeanSquaredErrorBp(arg(2), arg(0), arg(1), lossReduce);
return Arrays.asList(grads);
}
}