org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Xor 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.pairwise.bool;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformBoolOp;
import java.util.Arrays;
import java.util.List;
public class Xor extends BaseTransformBoolOp {
protected double comparable = 0.0;
public Xor(SameDiff sameDiff, SDVariable ix, SDVariable iy){
super(sameDiff, ix, iy);
this.extraArgs = new Object[] {this.comparable};
}
public Xor(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double comparable) {
super(sameDiff, i_v, inPlace);
this.comparable = comparable;
this.extraArgs = new Object[] {this.comparable};
}
public Xor() {}
public Xor(@NonNull INDArray x, @NonNull INDArray y) {
this(x, y, x, 0.0);
}
public Xor(@NonNull INDArray x, @NonNull INDArray y, INDArray z) {
this(x, y, z, 0.0);
}
public Xor(@NonNull INDArray x, @NonNull INDArray y, INDArray z, Number comparable) {
super(x, y, z);
this.comparable = comparable.doubleValue();
this.extraArgs = new Object[] {this.comparable};
}
@Override
public int opNum() {
return 9;
}
@Override
public Type getOpType() {
return Type.PAIRWISE_BOOL;
}
@Override
public Type opType() {
return Type.PAIRWISE_BOOL;
}
@Override
public String opName() {
return "xor";
}
@Override
public String onnxName() {
return "Xor";
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No Tensorflow op opName found for " + opName());
}
@Override
public List doDiff(List f1) {
return Arrays.asList( sameDiff.zerosLike(larg()), sameDiff.zerosLike(rarg()));
}
}