org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
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* * information regarding copyright ownership.
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.loss;
import lombok.NoArgsConstructor;
import lombok.Getter;
import lombok.NonNull;
import lombok.Setter;
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.SigmoidCrossEntropyLossBp;
import java.util.*;
@NoArgsConstructor
public class SigmoidCrossEntropyLoss extends BaseLoss {
public static final double DEFAULT_LABEL_SMOOTHING = 0.0;
@Getter
@Setter
protected double labelSmoothing;
public SigmoidCrossEntropyLoss(SameDiff sameDiff, SDVariable labels, SDVariable logits, SDVariable weights,
LossReduce lossReduce, double labelSmoothing) {
this(sameDiff, lossReduce, logits, weights, labels, labelSmoothing);
}
public SigmoidCrossEntropyLoss(SameDiff sameDiff, LossReduce lossReduce, SDVariable logits, SDVariable weights,
SDVariable labels, double labelSmoothing) {
super(sameDiff, lossReduce, logits, weights, labels);
this.labelSmoothing = labelSmoothing;
tArguments.add(labelSmoothing);
}
public SigmoidCrossEntropyLoss(SameDiff sameDiff, LossReduce reductionMode, SDVariable logits, SDVariable weights,
SDVariable labels) {
this(sameDiff, reductionMode, logits, weights, labels, 0.0);
}
public SigmoidCrossEntropyLoss(INDArray labels, INDArray predictions, INDArray weights, LossReduce lossReduce,
double labelSmoothing) {
super(lossReduce, predictions, weights, labels);
this.labelSmoothing = labelSmoothing;
tArguments.add(labelSmoothing);
}
@Override
public String opName() {
return "sigm_cross_entropy_loss";
}
@Override
public List doDiff(List grad) {
// No external gradient
// Args are: predictions, weights, label
if (tArguments.size() > 0) {
this.labelSmoothing = tArguments.get(tArguments.size() - 1);
}
return new SigmoidCrossEntropyLossBp(sameDiff, lossReduce, arg(0), arg(1), arg(2), this.labelSmoothing)
.outputs();
}
}