org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyWithLogitsLoss 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 lombok.NoArgsConstructor;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyWithLogitsLossBp;
import java.util.Collections;
import java.util.List;
import java.util.Map;
@NoArgsConstructor
public class SoftmaxCrossEntropyWithLogitsLoss extends DynamicCustomOp {
protected int classesDim;
// public SoftmaxCrossEntropyWithLogitsLoss(SameDiff sameDiff, SDVariable logits, SDVariable weights, SDVariable labels, int classesDim) {
// super(null, sameDiff, new SDVariable[]{logits, weights, labels}, false);
// this.classesDim = classesDim;
// addIArgument(classesDim);
// }
public SoftmaxCrossEntropyWithLogitsLoss(SameDiff sameDiff, SDVariable logits, SDVariable labels, int classesDim) {
super(null, sameDiff, new SDVariable[]{logits, labels}, false);
this.classesDim = classesDim;
addIArgument(classesDim);
}
@Override
public String opName() {
return "softmax_cross_entropy_loss_with_logits";
}
@Override
public String tensorflowName() {
return "SoftmaxCrossEntropyWithLogits";
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
Preconditions.checkState(inputDataTypes != null && (inputDataTypes.size() == 2 || inputDataTypes.size() == 3),
"Expected 2 or 3 input datatypes for %s, got %s", getClass(), inputDataTypes);
return Collections.singletonList(inputDataTypes.get(0)); //Same as predictions
}
@Override
public List doDiff(List grad) {
//No external gradient
//Args: logits, weights, label
return new SoftmaxCrossEntropyWithLogitsLossBp(sameDiff, arg(0), arg(1), classesDim).outputs();
}
@Override
public void setPropertiesForFunction(Map properties) {
if(properties.containsKey("classesDim")) {
Long dim = (Long) properties.get("classesDim");
this.classesDim = dim.intValue();
}
}
}