org.nd4j.linalg.api.ops.impl.scalar.LogX Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
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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.scalar;
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.BaseScalarOp;
import java.util.Collections;
import java.util.List;
public class LogX extends BaseScalarOp {
private double base;
public LogX(SameDiff sameDiff, SDVariable i_v, double base) {
super(sameDiff, i_v, base);
this.base = base;
this.extraArgs = new Object[] {base};
}
public LogX() {}
public LogX(INDArray x, INDArray z, double base) {
super(x, null, z, base);
this.base = base;
this.extraArgs = new Object[] {base};
}
public LogX(INDArray x, double base) {
super(x, base);
this.base = base;
this.extraArgs = new Object[] {base};
}
@Override
public int opNum() {
return 38;
}
@Override
public String opName() {
return "log_x";
}
@Override
public List doDiff(List f1) {
//dlog_b(x)/dx = 1/(x*log_e(b))
double logb = Math.log(base);
return Collections.singletonList(f1.get(0).div(arg().mul(logb)));
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No TensorFlow op found for " + getClass().getSimpleName());
}
}