/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.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<DataType> calculateOutputDataTypes(List<DataType> inputDataType){
      //Dummy float variable
      return Collections.singletonList(DataType.FLOAT);
   }
}
