org.deeplearning4j.models.embeddings.learning.impl.elements.BatchSequences Maven / Gradle / Ivy
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* Copyright (c) 2015-2019 Skymind, Inc.
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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.
*
* 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.
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* SPDX-License-Identifier: Apache-2.0
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package org.deeplearning4j.models.embeddings.learning.impl.elements;
import lombok.extern.slf4j.Slf4j;
import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.atomic.AtomicLong;
@Slf4j
public class BatchSequences {
private int batches;
List> buffer = new ArrayList<>();
public BatchSequences(int batches) {
this.batches = batches;
}
public void put(T word, T lastWord, long randomValue, double alpha) {
BatchItem newItem = new BatchItem<>(word, lastWord, randomValue, alpha);
buffer.add(newItem);
}
public void put(T word, int[] windowWords, boolean[] wordStatuses, long randomValue, double alpha) {
BatchItem newItem = new BatchItem<>(word, windowWords, wordStatuses, randomValue, alpha);
buffer.add(newItem);
}
public void put(T word, int[] windowWords, boolean[] wordStatuses, long randomValue, double alpha, int numLabels) {
BatchItem newItem = new BatchItem<>(word, windowWords, wordStatuses, randomValue, alpha, numLabels);
buffer.add(newItem);
}
public List> get(int chunkNo) {
List> retVal = new ArrayList<>();
for (int i = 0 + chunkNo * batches; (i < batches + chunkNo * batches) && (i < buffer.size()); ++i) {
BatchItem value = buffer.get(i);
retVal.add(value);
}
return retVal;
}
public int size() {
return buffer.size();
}
public void clear() {
buffer.clear();
}
}