org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator Maven / Gradle / Ivy

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package org.nd4j.linalg.dataset;

import org.nd4j.linalg.dataset.api.DataSetPreProcessor;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;

import java.io.File;
import java.io.IOException;
import java.util.List;

/**
 * Read in existing mini batches created
 * by the mini batch file datasetiterator.
 *
 * @author Adam Gibson
 */
public class ExistingMiniBatchDataSetIterator implements DataSetIterator {

    public static final String DEFAULT_PATTERN = "dataset-%d.bin";

    private int currIdx;
    private File rootDir;
    private int totalBatches = -1;
    private DataSetPreProcessor dataSetPreProcessor;
    private final String pattern;

    /**
     * Create with the given root directory, using the default filename pattern {@link #DEFAULT_PATTERN}
     * @param rootDir the root directory to use
     */
    public ExistingMiniBatchDataSetIterator(File rootDir) {
        this(rootDir, DEFAULT_PATTERN);
    }

    /**
     *
     * @param rootDir    The root directory to use
     * @param pattern    The filename pattern to use. Used with {@code String.format(pattern,idx)}, where idx is an
     *                   integer, starting at 0.
     */
    public ExistingMiniBatchDataSetIterator(File rootDir, String pattern) {
        this.rootDir = rootDir;
        totalBatches = rootDir.list().length;
        this.pattern = pattern;
    }

    @Override
    public DataSet next(int num) {
        throw new UnsupportedOperationException("Unable to load custom number of examples");
    }

    @Override
    public int totalExamples() {
        throw new UnsupportedOperationException();

    }

    @Override
    public int inputColumns() {
        throw new UnsupportedOperationException();
    }

    @Override
    public int totalOutcomes() {
        throw new UnsupportedOperationException();
    }

    @Override
    public boolean resetSupported() {
        return true;
    }

    @Override
    public boolean asyncSupported() {
        return true;
    }

    @Override
    public void reset() {
        currIdx = 0;
    }

    @Override
    public int batch() {
        throw new UnsupportedOperationException();
    }

    @Override
    public int cursor() {
        return currIdx;
    }

    @Override
    public int numExamples() {
        throw new UnsupportedOperationException();
    }

    @Override
    public void setPreProcessor(DataSetPreProcessor preProcessor) {
        this.dataSetPreProcessor = preProcessor;
    }

    @Override
    public DataSetPreProcessor getPreProcessor() {
        return dataSetPreProcessor;
    }

    @Override
    public List getLabels() {
        return null;
    }

    @Override
    public boolean hasNext() {
        return currIdx < totalBatches;
    }

    @Override
    public void remove() {
        //no opt;
    }

    @Override
    public DataSet next() {
        try {
            DataSet ret = read(currIdx);
            if (dataSetPreProcessor != null)
                dataSetPreProcessor.preProcess(ret);
            currIdx++;

            return ret;
        } catch (IOException e) {
            throw new IllegalStateException("Unable to read dataset");
        }
    }

    private DataSet read(int idx) throws IOException {
        File path = new File(rootDir, String.format(pattern, idx));
        DataSet d = new DataSet();
        d.load(path);
        return d;
    }
}