org.nd4j.linalg.api.ops.random.impl.GaussianDistribution Maven / Gradle / Ivy
package org.nd4j.linalg.api.ops.random.impl;
import lombok.NonNull;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.random.BaseRandomOp;
/**
* This Op generates normal distribution over provided mean and stddev
*
* @author [email protected]
*/
public class GaussianDistribution extends BaseRandomOp {
private double mean;
private double stddev;
public GaussianDistribution() {
super();
}
/**
* This op fills Z with random values within stddev..mean..stddev boundaries
* @param z
* @param mean
* @param stddev
*/
public GaussianDistribution(@NonNull INDArray z, double mean, double stddev) {
init(z, z, z, z.lengthLong());
this.mean = mean;
this.stddev = stddev;
this.extraArgs = new Object[] {this.mean, this.stddev};
}
public GaussianDistribution(@NonNull INDArray z, @NonNull INDArray means, double stddev) {
if (z.lengthLong() != means.lengthLong())
throw new IllegalStateException("Result length should be equal to provided Means length");
if (means.elementWiseStride() < 1)
throw new IllegalStateException("Means array can't have negative EWS");
init(z, means, z, z.lengthLong());
this.mean = 0.0;
this.stddev = stddev;
this.extraArgs = new Object[] {this.mean, this.stddev};
}
/**
* This op fills Z with random values within -1.0..0..1.0
* @param z
*/
public GaussianDistribution(@NonNull INDArray z) {
this(z, 0.0, 1.0);
}
/**
* This op fills Z with random values within stddev..0..stddev
* @param z
*/
public GaussianDistribution(@NonNull INDArray z, double stddev) {
this(z, 0.0, stddev);
}
@Override
public int opNum() {
return 6;
}
@Override
public String name() {
return "distribution_gaussian";
}
@Override
public boolean isExecSpecial() {
return true;
}
}