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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
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 *  *  information regarding copyright ownership.
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package org.deeplearning4j.parallelism.inference;

import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.common.primitives.Pair;

import java.util.List;
import java.util.Observer;

public interface InferenceObservable {

    /**
     * Get input batches - and their associated input mask arrays, if any

     * Note that usually the returned list will be of size 1 - however, in the batched case, not all inputs
     * can actually be batched (variable size inputs to fully convolutional net, for example). In these "can't batch"
     * cases, multiple input batches will be returned, to be processed
     *
     * @return List of pairs of input arrays and input mask arrays. Input mask arrays may be null.
     */
    List> getInputBatches();

    void addInput(INDArray... input);

    void addInput(INDArray[] input, INDArray[] inputMasks);

    void setOutputBatches(List output);

    void setOutputException(Exception e);

    void addObserver(Observer observer);

    INDArray[] getOutput();
}