org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWrite Maven / Gradle / Ivy
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/*
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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.
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* * SPDX-License-Identifier: Apache-2.0
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*/
package org.nd4j.linalg.api.ops.impl.shape.tensorops;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.Op;
import java.util.Collections;
import java.util.List;
public class TensorArrayWrite extends BaseTensorOp {
public TensorArrayWrite(String name, SameDiff sameDiff, SDVariable[] args){
super(name, sameDiff, args);
}
public TensorArrayWrite(SameDiff sameDiff, SDVariable[] args){
super(null, sameDiff, args);
}
public TensorArrayWrite(){}
@Override
public String[] tensorflowNames() {
return new String[]{"TensorArrayWrite", "TensorArrayWriteV2", "TensorArrayWriteV3"};
}
@Override
public String opName() {
return "tensorarraywritev3";
}
@Override
public Op.Type opType() {
return Op.Type.CUSTOM;
}
@Override
public List calculateOutputDataTypes(List inputDataType){
//Dummy float variable
return Collections.singletonList(DataType.FLOAT);
}
}