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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.
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 *  *  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
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package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp;

import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;

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

public abstract class BaseArithmeticBackpropOp extends BaseDynamicTransformOp {

    public BaseArithmeticBackpropOp() {}

    public BaseArithmeticBackpropOp(SameDiff sameDiff, SDVariable x, SDVariable y, SDVariable eps) {
        super(sameDiff, new SDVariable[]{x,y,eps}, false);
    }

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

    @Override
    public List calculateOutputDataTypes(List dataTypes){
        Preconditions.checkState(dataTypes != null && dataTypes.size() == 3, "Expected exactly 3 input datatypes for %s, got input %s", getClass(), dataTypes);
        //Gradient types: same as input
        return Arrays.asList(arg(0).dataType(), arg(1).dataType());
    }
}




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