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/*******************************************************************************
 * 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 onnx.Onnx;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.Op;

import java.util.Collections;
import java.util.List;
import java.util.Map;

public class TensorArrayConcat extends BaseTensorOp {

    public TensorArrayConcat(String name, SameDiff sameDiff, SDVariable[] args){
        super(name, sameDiff, args);
    }
    public TensorArrayConcat(SameDiff sameDiff, SDVariable[] args){
        super(null, sameDiff, args);
    }

    public TensorArrayConcat(){}
   @Override
    public String onnxName() {
        throw new NoOpNameFoundException("No onnx op name found for " + opName());
    }

    @Override
    public String tensorflowName() {
        return "TensorArrayConcatV3";
    }


    @Override
    public String toString() {
        return opName();
    }

    @Override
    public String opName() {
        return "tensorarrayconcatv3";
    }

    @Override
    public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {
        throw new UnsupportedOperationException();
    }

    @Override
    public Op.Type opType() {
        return Op.Type.CUSTOM;
    }

    @Override
    public List calculateOutputDataTypes(java.util.List inputDataType){
        //Same output type as the TensorArray - which is defined by input 0
        SDVariable tArr = arg(0);
        TensorArray t3 = (TensorArray) sameDiff.getVariableOutputOp(tArr.getVarName());
        org.nd4j.linalg.api.buffer.DataType dt = t3.getTensorArrayDataType();
        return Collections.singletonList(dt);
    }
}