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Java example source code file (AbstractDataSetIteratorTest.java)

This example Java source code file (AbstractDataSetIteratorTest.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

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Java - Java tags/keywords

abstractdatasetiteratortest, atomicinteger, exception, floatsdatasetiterator, indarray, iterable, override, pair, util

The AbstractDataSetIteratorTest.java Java example source code

package org.deeplearning4j.datasets.iterator;

import org.apache.commons.lang3.RandomUtils;
import org.deeplearning4j.berkeley.Pair;
import org.junit.Test;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.dataset.DataSet;

import java.util.Iterator;
import java.util.concurrent.atomic.AtomicInteger;

import static org.junit.Assert.*;

 * Created by raver on 16.06.2016.
public class AbstractDataSetIteratorTest {
    public void next() throws Exception {
        int numFeatures = 128;
        int batchSize = 10;
        int numRows = 1000;
        AtomicInteger cnt = new AtomicInteger(0);
        FloatsDataSetIterator iterator = new FloatsDataSetIterator(floatIterable(numRows, numFeatures), batchSize);


        while (iterator.hasNext()) {
            DataSet dataSet = iterator.next();

            INDArray features = dataSet.getFeatures();

            assertEquals(batchSize, features.rows());
            assertEquals(numFeatures, features.columns());

        assertEquals(numRows/batchSize, cnt.get());

    protected static Iterable<Pair floatIterable(final int totalRows, final int numColumns) {
        return new Iterable<Pair() {
            public Iterator<Pair iterator() {
                return new Iterator<Pair() {
                    private AtomicInteger cnt = new AtomicInteger(0);

                    public boolean hasNext() {
                        return cnt.incrementAndGet() <= totalRows;

                    public Pair<float[], float[]> next() {
                        float features[] = new float[numColumns];
                        float labels[] = new float[numColumns];
                        for (int i = 0; i < numColumns; i++) {
                            features[i] = (float) i;
                            labels[i] = RandomUtils.nextFloat(0, 5);
                        return Pair.makePair(features, labels);

                    public void remove() {
                        // no-op

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