org.deeplearning4j.nn.weights.WeightInitVarScalingNormalFanOut 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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package org.deeplearning4j.nn.weights;
import lombok.Data;
import lombok.EqualsAndHashCode;
import lombok.NoArgsConstructor;
import org.apache.commons.math3.util.FastMath;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution;
import org.nd4j.linalg.factory.Nd4j;
@Data
@NoArgsConstructor
public class WeightInitVarScalingNormalFanOut implements IWeightInit {
private Double scale;
public WeightInitVarScalingNormalFanOut(Double scale){
this.scale = scale;
}
@Override
public INDArray init(double fanIn, double fanOut, long[] shape, char order, INDArray paramView) {
double std;
if(scale == null){
std = Math.sqrt(1.0 / fanOut);
} else {
std = Math.sqrt(scale / fanOut);
}
Nd4j.exec(new TruncatedNormalDistribution(paramView, 0.0, std));
return paramView.reshape(order, shape);
}
}