org.deeplearning4j.earlystopping.trainer.EarlyStoppingGraphTrainer Maven / Gradle / Ivy

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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.earlystopping.trainer;

import org.deeplearning4j.datasets.iterator.utilty.SingletonDataSetIterator;
import org.deeplearning4j.datasets.iterator.utilty.SingletonMultiDataSetIterator;
import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration;
import org.deeplearning4j.earlystopping.listener.EarlyStoppingListener;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.dataset.api.MultiDataSet;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;

public class EarlyStoppingGraphTrainer extends BaseEarlyStoppingTrainer { //implements IEarlyStoppingTrainer {
    private ComputationGraph net;

    /**
     * @param esConfig Configuration
     * @param net Network to train using early stopping
     * @param train DataSetIterator for training the network
     */
    public EarlyStoppingGraphTrainer(EarlyStoppingConfiguration esConfig, ComputationGraph net,
                    DataSetIterator train) {
        this(esConfig, net, train, null);
    }

    /**Constructor for training using a {@link DataSetIterator}
     * @param esConfig Configuration
     * @param net Network to train using early stopping
     * @param train DataSetIterator for training the network
     * @param listener Early stopping listener. May be null.
     */
    public EarlyStoppingGraphTrainer(EarlyStoppingConfiguration esConfig, ComputationGraph net,
                    DataSetIterator train, EarlyStoppingListener listener) {
        super(esConfig, net, train, null, listener);
        if (net.getNumInputArrays() != 1 || net.getNumOutputArrays() != 1)
            throw new IllegalStateException(
                            "Cannot do early stopping training on ComputationGraph with DataSetIterator: graph does not have 1 input and 1 output array");
        this.net = net;
    }

    /**Constructor for training using a {@link MultiDataSetIterator}
     * @param esConfig Configuration
     * @param net Network to train using early stopping
     * @param train DataSetIterator for training the network
     * @param listener Early stopping listener. May be null.
     */
    public EarlyStoppingGraphTrainer(EarlyStoppingConfiguration esConfig, ComputationGraph net,
                    MultiDataSetIterator train, EarlyStoppingListener listener) {
        super(esConfig, net, null, train, 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 SingletonMultiDataSetIterator(mds));
    }
}