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/*
 *  ******************************************************************************
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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
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package org.nd4j.linalg.api.ops.impl.transforms.strict;

import lombok.NoArgsConstructor;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformStrictOp;

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

@NoArgsConstructor
public class Swish extends BaseTransformStrictOp {
    public Swish(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
        super(sameDiff, i_v, inPlace);
    }

    public Swish(SameDiff sameDiff, SDVariable i_v) {
        this(sameDiff, i_v, false);
    }

    public Swish(INDArray x, INDArray z) {
        super(x, z);
    }

    public Swish(INDArray ndArray) {
        super(ndArray);
    }

    @Override
    public int opNum() {
        return 43;
    }

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

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

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


    @Override
    public List doDiff(List i_v) {
        SDVariable ret = new SwishDerivative(sameDiff, arg()).outputVariable().mul(i_v.get(0));
        return Arrays.asList(ret);
    }


}