org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.GRUWeights Maven / Gradle / Ivy
package org.nd4j.linalg.api.ops.impl.layers.recurrent.weights;
import lombok.Builder;
import lombok.Data;
import lombok.EqualsAndHashCode;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell;
/**
* The weight configuration of a GRU cell. For {@link GRUCell}.
*
*/
@EqualsAndHashCode(callSuper = true)
@Data
@Builder
public class GRUWeights extends RNNWeights {
/**
* Reset and Update gate weights, with a shape of [inSize + numUnits, 2*numUnits].
*
* The reset weights are the [:, 0:numUnits] subset and the update weights are the [:, numUnits:2*numUnits] subset.
*/
@NonNull
private SDVariable ruWeight;
/**
* Cell gate weights, with a shape of [inSize + numUnits, numUnits]
*/
@NonNull
private SDVariable cWeight;
/**
* Reset and Update gate bias, with a shape of [2*numUnits]. May be null.
*
* The reset bias is the [0:numUnits] subset and the update bias is the [numUnits:2*numUnits] subset.
*/
@NonNull
private SDVariable ruBias;
/**
* Cell gate bias, with a shape of [numUnits]. May be null.
*/
@NonNull
private SDVariable cBias;
@Override
public SDVariable[] args() {
return filterNonNull(ruWeight, cWeight, ruBias, cBias);
}
}