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/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.transforms.any;

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.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.factory.Nd4j;

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

/**
 * [1, 2, 3, 1] -> [0, 0, 1, 0]
 * @author Adam Gibson
 */
public class IsMax extends DynamicCustomOp {
    public IsMax(SameDiff sameDiff, SDVariable i_v) {
        super(sameDiff, i_v);
    }


    public IsMax(INDArray x, INDArray z) {
        super(new INDArray[]{x}, new INDArray[]{z});
    }

    public IsMax() {}

    public IsMax(INDArray x) {
        this(x, Nd4j.createUninitialized(DataType.BOOL, x.shape(), x.ordering()));
    }

    public IsMax(INDArray x, INDArray z, int... dimensions) {
        this(x, z);
        this.addIArgument(dimensions);
    }

    public IsMax(INDArray x, int... dimensions) {
        this(x, Nd4j.createUninitialized(DataType.BOOL, x.shape(), x.ordering()), dimensions);
    }

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

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

    @Override
    public String tensorflowName() {
        throw new NoOpNameFoundException("No tensorflow op opName found for " +  opName());
    }

    @Override
    public List doDiff(List f1) {
        return Collections.singletonList(sameDiff.zerosLike(arg()));
    }

    @Override
    public List calculateOutputDataTypes(List inputDataTypes){
        //Also supports other types if say float array is provided as output array
        return Collections.singletonList(DataType.BOOL);
    }
}