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/*
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 *  * terms of the Apache License, Version 2.0 which is available at
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 *  *  information regarding copyright ownership.
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package org.nd4j.linalg.api.ops.impl.loss;

import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.impl.loss.bp.CtcLossBp;

import java.util.List;

public class CtcLoss extends DynamicCustomOp {


    public CtcLoss(INDArray targetLabels, INDArray logitInputs, INDArray targetLabelLengths, INDArray logitInputLengths) {
        super(new INDArray[]{targetLabels,logitInputs,targetLabelLengths,logitInputLengths},null);
    }


    public CtcLoss(SameDiff sameDiff, SDVariable targetLabels,SDVariable logitInputs,SDVariable targetLabelLengths,SDVariable logitInputLengths){
        super(sameDiff,new SDVariable[]{targetLabels,logitInputs,targetLabelLengths,logitInputLengths});
    }


    public CtcLoss(){ }

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

    @Override
    public List doDiff(List grad) {
        //No external gradient
        //Args are: predictions, weights, label
        return new CtcLossBp(sameDiff,  arg(0), arg(1), arg(2),arg(3)).outputs();
    }
}




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