org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator Maven / Gradle / Ivy
package org.nd4j.linalg.dataset.api.iterator;
import org.nd4j.linalg.dataset.api.MultiDataSet;
import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
/**
* @author Ede Meijer
*/
public class TestMultiDataSetIterator implements MultiDataSetIterator {
private int curr = 0;
private int batch = 10;
private List list;
private MultiDataSetPreProcessor preProcessor;
/**
* Makes an iterator from the given datasets. DataSets are expected to are batches of exactly 1 example.
* ONLY for use in tests in nd4j
*/
public TestMultiDataSetIterator(int batch, MultiDataSet... dataset) {
list = Arrays.asList(dataset);
this.batch = batch;
}
@Override
public MultiDataSet next(int num) {
int end = curr + num;
List r = new ArrayList<>();
if (end >= list.size()) {
end = list.size();
}
for (; curr < end; curr++) {
r.add(list.get(curr));
}
MultiDataSet d = org.nd4j.linalg.dataset.MultiDataSet.merge(r);
if (preProcessor != null) {
preProcessor.preProcess(d);
}
return d;
}
@Override
public void setPreProcessor(MultiDataSetPreProcessor preProcessor) {
this.preProcessor = preProcessor;
}
@Override
public MultiDataSetPreProcessor getPreProcessor() {
return this.preProcessor;
}
@Override
public boolean resetSupported() {
return true;
}
@Override
public boolean asyncSupported() {
return false;
}
@Override
public void reset() {
curr = 0;
}
@Override
public boolean hasNext() {
return curr < list.size();
}
@Override
public MultiDataSet next() {
return next(batch);
}
@Override
public void remove() {
throw new UnsupportedOperationException();
}
}