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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.transforms.custom;

import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.buffer.DataType;
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;

public class UniqueWithCounts extends DynamicCustomOp {
    public static final DataType DEFAULT_IDX_DTYPE = DataType.INT;
    private DataType idxDataType;

    public UniqueWithCounts(){ }

    public UniqueWithCounts(SameDiff sd, SDVariable in){
        super(sd, new SDVariable[]{in}, false);
    }

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

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

    @Override
    public List doDiff(List i_v) {
        throw new UnsupportedOperationException("Not implemented yet");
    }

    @Override
    public int numOutputArguments(){
        return 3;
    }

    @Override
    public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
        idxDataType = TFGraphMapper.convertType(nodeDef.getAttrOrThrow("out_idx").getType());
    }

    @Override
    public List calculateOutputDataTypes(List dataTypes){
        Preconditions.checkState(dataTypes != null && dataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got %s", getClass(), dataTypes);
        DataType d = (idxDataType == null ? DEFAULT_IDX_DTYPE : idxDataType);
        return Arrays.asList(dataTypes.get(0), d, d);
    }
}