org.nd4j.linalg.api.ops.random.impl.UniformDistribution Maven / Gradle / Ivy
package org.nd4j.linalg.api.ops.random.impl;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.random.BaseRandomOp;
import java.util.List;
/**
* @author [email protected]
*/
public class UniformDistribution extends BaseRandomOp {
private double from;
private double to;
public UniformDistribution() {
super();
}
/**
* This op fills Z with random values within from...to boundaries
* @param z
* @param from
* @param to
*/
public UniformDistribution(@NonNull INDArray z, double from, double to) {
init(null, null, z, z.lengthLong());
this.from = from;
this.to = to;
this.extraArgs = new Object[] {this.from, this.to};
}
/**
* This op fills Z with random values within 0...1
* @param z
*/
public UniformDistribution(@NonNull INDArray z) {
this(z, 0.0, 1.0);
}
/**
* This op fills Z with random values within 0...to
* @param z
*/
public UniformDistribution(@NonNull INDArray z, double to) {
this(z, 0.0, to);
}
@Override
public int opNum() {
return 0;
}
@Override
public String opName() {
return "distribution_uniform";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
return "RandomUniformGG";
}
@Override
public List doDiff(List f1) {
return null;
}
}