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 *  *  information regarding copyright ownership.
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package org.deeplearning4j.earlystopping.trainer;

import org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator;
import org.deeplearning4j.datasets.iterator.impl.SingletonDataSetIterator;
import org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator;
import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration;
import org.deeplearning4j.earlystopping.listener.EarlyStoppingListener;
import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.dataset.api.MultiDataSet;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;

public class EarlyStoppingTrainer extends BaseEarlyStoppingTrainer<MultiLayerNetwork> {

    private MultiLayerNetwork net;
    private boolean isMultiEpoch = false;


    public EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> earlyStoppingConfiguration,
                    MultiLayerConfiguration configuration, DataSetIterator train) {
        this(earlyStoppingConfiguration, new MultiLayerNetwork(configuration), train);
        net.init();
    }

    public EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net,
                    DataSetIterator train) {
        this(esConfig, net, train, null);
    }

    public EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net,
                    DataSetIterator train, EarlyStoppingListener<MultiLayerNetwork> listener) {
        super(esConfig, net, train, null, listener);
        this.net = net;
    }

    @Override
    protected void fit(DataSet ds) {
        net.fit(ds);
    }

    @Override
    protected void fit(MultiDataSet mds) {
        net.fit(mds);
    }

    @Override
    protected void pretrain(DataSet ds) {
        net.pretrain(new SingletonDataSetIterator(ds));
    }

    @Override
    protected void pretrain(MultiDataSet mds) {
        net.pretrain(new MultiDataSetWrapperIterator(new SingletonMultiDataSetIterator(mds)));
    }
}
