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/* ******************************************************************************
 * Copyright (c) 2019 Konduit K.K.
 *
 * 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.custom;

import lombok.NoArgsConstructor;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;

import java.util.Arrays;
import java.util.List;
import java.util.Map;

@NoArgsConstructor
public class Lu extends DynamicCustomOp {
    private DataType indexDataType;

    public Lu(INDArray input) {
        addInputArgument(input);
    }

    public Lu(SameDiff sameDiff, SDVariable input) {
        super(sameDiff, new SDVariable[]{input});
    }

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

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

    @Override
    public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
        if (attributesForNode.containsKey("output_idx_type")){
            indexDataType = TFGraphMapper.convertType(attributesForNode.get("output_idx_type").getType());
        }
    }

    @Override
    public List calculateOutputDataTypes(List inputDataTypes){
        int n = args().length;
        Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == n, "Expected %s input data types for %s, got %s", n, getClass(), inputDataTypes);
        return Arrays.asList(inputDataTypes.get(0), indexDataType == null ? DataType.INT32 : indexDataType);
    }
}