org.deeplearning4j.arbiter.layers.CenterLossOutputLayerSpace Maven / Gradle / Ivy
package org.deeplearning4j.arbiter.layers;
import lombok.AccessLevel;
import lombok.Data;
import lombok.EqualsAndHashCode;
import lombok.NoArgsConstructor;
import org.deeplearning4j.arbiter.optimize.api.ParameterSpace;
import org.deeplearning4j.arbiter.optimize.parameter.FixedValue;
import org.deeplearning4j.arbiter.util.LeafUtils;
import org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer;
@Data
@EqualsAndHashCode(callSuper = true)
@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization
public class CenterLossOutputLayerSpace extends BaseOutputLayerSpace {
ParameterSpace alpha;
ParameterSpace lambda;
protected CenterLossOutputLayerSpace(Builder builder){
super(builder);
this.alpha = builder.alpha;
this.lambda = builder.lambda;
this.numParameters = LeafUtils.countUniqueParameters(collectLeaves());
}
@Override
public CenterLossOutputLayer getValue(double[] parameterValues) {
CenterLossOutputLayer.Builder b = new CenterLossOutputLayer.Builder();
setLayerOptionsBuilder(b, parameterValues);
return b.build();
}
protected void setLayerBuilderOptions(CenterLossOutputLayer.Builder builder, double[] values){
super.setLayerOptionsBuilder(builder, values);
if(alpha != null)
builder.alpha(alpha.getValue(values));
if(lambda != null)
builder.lambda(lambda.getValue(values));
}
public static class Builder extends BaseOutputLayerSpace.Builder {
ParameterSpace alpha;
ParameterSpace lambda;
public Builder alpha(double alpha){
return alpha(new FixedValue<>(alpha));
}
public Builder alpha(ParameterSpace alpha){
this.alpha = alpha;
return this;
}
public Builder lambda(double lambda){
return lambda(new FixedValue<>(lambda));
}
public Builder lambda(ParameterSpace lambda){
this.lambda = lambda;
return this;
}
@Override
public CenterLossOutputLayerSpace build() {
return new CenterLossOutputLayerSpace(this);
}
}
}