org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUBp 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.transforms.gradient;
import java.util.Collections;
import java.util.List;
import lombok.NonNull;
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.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
public class LeakyReLUBp extends DynamicCustomOp {
public static final double DEFAULT_ALPHA = 0.01;
private double alpha = DEFAULT_ALPHA;
public LeakyReLUBp(){ }
public LeakyReLUBp(SameDiff sd, SDVariable input, SDVariable gradient, double alpha){
super(sd, new SDVariable[]{input, gradient});
this.alpha = alpha;
addTArgument(alpha);
}
public LeakyReLUBp(@NonNull INDArray input, @NonNull INDArray gradient, INDArray output, double alpha){
super(new INDArray[]{input, gradient}, wrapOrNull(output));
this.alpha = alpha;
addTArgument(alpha);
}
@Override
public String opName(){
return "lrelu_bp";
}
@Override
public List calculateOutputDataTypes(List dataTypes) {
Preconditions
.checkArgument(dataTypes != null && dataTypes.size() == 2, "Expected exactly 2 input datatypes, got %s", dataTypes);
Preconditions.checkArgument(dataTypes.get(0).isFPType() && dataTypes.get(1).isFPType(), "Input datatypes must be floating point, got %s", dataTypes);
return Collections.singletonList(dataTypes.get(0));
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException("Not supported");
}
}