org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative 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 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.BaseTransformStrictOp;
import java.util.Collections;
import java.util.List;
@Deprecated
public class SELUDerivative extends BaseTransformStrictOp {
private static final double SELU_ALPHA = 1.6732632423543772848170429916717;
private static final double SELU_LAMBDA = 1.0507009873554804934193349852946;
public SELUDerivative(SameDiff sameDiff, SDVariable i_v) {
this(sameDiff, i_v, false);
}
public SELUDerivative(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
super(sameDiff, i_v, inPlace);
}
public SELUDerivative() {}
public SELUDerivative(INDArray x, INDArray z) {
super(x, z);
}
public SELUDerivative(INDArray x) {
super(x);
}
@Override
public int opNum() {
return 9;
}
@Override
public String opName() {
return "seluderivative";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
@Override
public List doDiff(List i_v) {
SDVariable ret = sameDiff.math.div(arg(), new SELUDerivative(sameDiff, arg()).outputVariable());
return Collections.singletonList(ret);
}
}