org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.SRUWeights Maven / Gradle / Ivy
/*
* ******************************************************************************
* *
* *
* * This program and the accompanying materials are made available under the
* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * Unless required by applicable law or agreed to in writing, software
* * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* * License for the specific language governing permissions and limitations
* * under the License.
* *
* * SPDX-License-Identifier: Apache-2.0
* *****************************************************************************
*/
package org.nd4j.linalg.api.ops.impl.layers.recurrent.weights;
import lombok.Builder;
import lombok.Data;
import lombok.EqualsAndHashCode;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU;
import org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell;
@EqualsAndHashCode(callSuper = true)
@Data
@Builder
public class SRUWeights extends RNNWeights {
/**
* Weights, with shape [inSize, 3*inSize].
*/
private SDVariable weights;
private INDArray iWeights;
/**
* Biases, with shape [2*inSize].
*/
private SDVariable bias;
private INDArray iBias;
@Override
public SDVariable[] args() {
return new SDVariable[]{weights, bias};
}
@Override
public INDArray[] arrayArgs() {
return new INDArray[]{iWeights, iBias};
}
}