org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWrite Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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.
*
* 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.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);
}
}