ai.djl.training.dataset.SequenceSampler Maven / Gradle / Ivy
/*
* Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance
* with the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0/
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES
* OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package ai.djl.training.dataset;
import java.util.Iterator;
import java.util.NoSuchElementException;
/**
* {@code SequenceSampler} is an implementation of the {@link
* ai.djl.training.dataset.Sampler.SubSampler} interface.
*
* {@code SequenceSampler} samples the data from [0, dataset.size) sequentially.
*/
public class SequenceSampler implements Sampler.SubSampler {
/** {@inheritDoc} */
@Override
public Iterator sample(RandomAccessDataset dataset) {
return new Iterate(dataset);
}
static class Iterate implements Iterator {
private long size;
private long current;
Iterate(RandomAccessDataset dataset) {
size = dataset.size();
current = 0;
}
/** {@inheritDoc} */
@Override
public boolean hasNext() {
return current < size;
}
/** {@inheritDoc} */
@Override
public Long next() {
if (!hasNext()) {
throw new NoSuchElementException();
}
return current++;
}
}
}