ai.djl.modality.nlp.embedding.SimpleTextEmbedding Maven / Gradle / Ivy
/*
* Copyright 2020 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.modality.nlp.embedding;
import ai.djl.ndarray.NDArray;
import ai.djl.ndarray.NDArrays;
import ai.djl.ndarray.NDList;
import java.util.ArrayList;
import java.util.List;
/** A {@link TextEmbedding} that applies a {@link WordEmbedding} to each word independently. */
public class SimpleTextEmbedding implements TextEmbedding {
private WordEmbedding wordEmbedding;
/**
* Constructs a {@link SimpleTextEmbedding}.
*
* @param wordEmbedding the word embedding to embed each word
*/
public SimpleTextEmbedding(WordEmbedding wordEmbedding) {
this.wordEmbedding = wordEmbedding;
}
/** {@inheritDoc} */
@Override
public long[] preprocessTextToEmbed(List text) {
long[] result = new long[text.size()];
for (int i = 0; i < text.size(); i++) {
result[i] = wordEmbedding.preprocessWordToEmbed(text.get(i));
}
return result;
}
/** {@inheritDoc} */
@Override
public NDArray embedText(NDArray textIndices) throws EmbeddingException {
NDList result = new NDList();
for (int i = 0; i < textIndices.size(); i++) {
result.add(wordEmbedding.embedWord(textIndices.get(i)));
}
return NDArrays.stack(result);
}
/** {@inheritDoc} */
@Override
public List unembedText(NDArray textEmbedding) {
NDList split = textEmbedding.split(textEmbedding.getShape().get(0));
List result = new ArrayList<>(split.size());
for (NDArray token : split) {
result.add(wordEmbedding.unembedWord(token.get(0)));
}
return result;
}
}