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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.custom;

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

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

public class Zeta extends BaseDynamicTransformOp {

    public Zeta(SameDiff sameDiff, SDVariable x, SDVariable q) {
        super(sameDiff, new SDVariable[] {x, q} ,false);
    }

    public Zeta() {}

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


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

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


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

    @Override
    public List calculateOutputDataTypes(List dataTypes){
        Preconditions.checkState(dataTypes != null && dataTypes.size() == 2, "Expected exactly 2 input datatypes for %s, got %s", getClass(), dataTypes);
        Preconditions.checkState(dataTypes.get(0).isFPType(), "Input 0 datatype must be a floating point type, got %s", dataTypes.get(0));
        Preconditions.checkState(dataTypes.get(1).isFPType(), "Input 1 datatype must be a floating point type, got %s", dataTypes.get(1));
        Preconditions.checkState(dataTypes.get(0) == dataTypes.get(1), "Input datatypes must be equal, type, got %s", dataTypes);
        return Collections.singletonList(dataTypes.get(0));
    }
}




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