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/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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.iterator.bert;
import org.nd4j.common.primitives.Pair;
import java.util.List;
public interface BertSequenceMasker {
/**
*
* @param input Input sequence of tokens
* @param maskToken Token to use for masking - usually something like "[MASK]"
* @param vocabWords Vocabulary, as a list
* @return Pair: The new input tokens (after masking out), along with a boolean[] for whether the token is
* masked or not (same length as number of tokens). boolean[i] is true if token i was masked.
*/
Pair,boolean[]> maskSequence(List input, String maskToken, List vocabWords);
}