org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceStreamTokenizer Maven / Gradle / Ivy
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* Copyright (c) 2015-2019 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.text.tokenization.tokenizer;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.io.IOUtils;
import java.io.*;
import java.nio.charset.Charset;
import java.util.*;
import java.util.concurrent.atomic.AtomicInteger;
/**
* A tokenizer that works with a vocab from a published bert model and tokenizes a token at a time from a stream
* @author Paul Dubs
*/
@Slf4j
public class BertWordPieceStreamTokenizer extends BertWordPieceTokenizer {
public BertWordPieceStreamTokenizer(InputStream tokens, Charset encoding, NavigableMap vocab, TokenPreProcess preTokenizePreProcessor, TokenPreProcess tokenPreProcess) {
super(readAndClose(tokens, encoding), vocab, preTokenizePreProcessor, tokenPreProcess);
}
public static String readAndClose(InputStream is, Charset encoding){
try {
return IOUtils.toString(is, encoding);
} catch (IOException e){
throw new RuntimeException("Error reading from stream", e);
} finally {
IOUtils.closeQuietly(is);
}
}
}