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/*
* ******************************************************************************
* *
* *
* * 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;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.NonNull;
import onnx.Onnx;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.SRUWeights;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.Map;
@NoArgsConstructor
public class SRU extends DynamicCustomOp {
@Getter
private SRUWeights weights;
@Getter
private SDVariable mask;
public SRU(@NonNull SameDiff sameDiff, @NonNull SDVariable x, @NonNull SDVariable initialC, SDVariable mask, @NonNull SRUWeights weights) {
super(null, sameDiff, wrapFilterNull(x, weights.getWeights(), weights.getBias(), initialC, mask));
this.mask = mask;
this.weights = weights;
}
public SRU(INDArray x, INDArray initialC, INDArray mask, SRUWeights sruWeights) {
super(wrapFilterNull(x, sruWeights.getIWeights(), sruWeights.getIBias(), initialC, mask), null);
this.mask = (SDVariable) mask;
this.weights = sruWeights;
}
public SRU(INDArray x, INDArray initialC, SRUWeights sruWeights) {
super(wrapFilterNull(x, sruWeights.getIWeights(), sruWeights.getIBias(), initialC), null);
this.weights = sruWeights;
}
@Override
public String opName() {
return "sru";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op name for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op name for " + opName());
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
super.initFromTensorFlow(nodeDef, initWith, attributesForNode, graph);
}
@Override
public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {
super.initFromOnnx(node, initWith, attributesForNode, graph);
}
}