org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License 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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.deeplearning4j.models.sequencevectors.transformers.impl.iterables;
import lombok.NonNull;
import lombok.extern.slf4j.Slf4j;
import org.deeplearning4j.models.sequencevectors.sequence.Sequence;
import org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer;
import org.deeplearning4j.models.word2vec.VocabWord;
import org.deeplearning4j.text.documentiterator.LabelAwareIterator;
import org.deeplearning4j.text.documentiterator.LabelledDocument;
import java.util.Iterator;
/**
* @author [email protected]
*/
@Slf4j
public class BasicTransformerIterator implements Iterator> {
protected final LabelAwareIterator iterator;
protected boolean allowMultithreading;
protected final SentenceTransformer sentenceTransformer;
public BasicTransformerIterator(@NonNull LabelAwareIterator iterator, @NonNull SentenceTransformer transformer) {
this.iterator = iterator;
this.allowMultithreading = false;
this.sentenceTransformer = transformer;
this.iterator.reset();
}
@Override
public boolean hasNext() {
return this.iterator.hasNextDocument();
}
@Override
public Sequence next() {
LabelledDocument document = iterator.nextDocument();
if (document == null || document.getContent() == null)
return new Sequence<>();
Sequence sequence = sentenceTransformer.transformToSequence(document.getContent());
if (document.getLabels() != null)
for (String label : document.getLabels()) {
if (label != null && !label.isEmpty())
sequence.addSequenceLabel(new VocabWord(1.0, label));
}
/*
if (document.getLabel() != null && !document.getLabel().isEmpty()) {
sequence.setSequenceLabel(new VocabWord(1.0, document.getLabel()));
}*/
return sequence;
}
public void reset() {
this.iterator.reset();
}
@Override
public void remove() {
throw new UnsupportedOperationException();
}
}