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Java example source code file (InMemoryLookupTableTest.java)
This example Java source code file (InMemoryLookupTableTest.java) is included in the alvinalexander.com
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The InMemoryLookupTableTest.java Java example source code
package org.deeplearning4j.models.embeddings.inmemory;
import org.canova.api.util.ClassPathResource;
import org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator;
import org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer;
import org.deeplearning4j.models.word2vec.VocabWord;
import org.deeplearning4j.models.word2vec.wordstore.VocabConstructor;
import org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache;
import org.deeplearning4j.text.documentiterator.FileLabelAwareIterator;
import org.deeplearning4j.text.sentenceiterator.BasicLineIterator;
import org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor;
import org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory;
import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
import org.junit.Before;
import org.junit.Test;
import static org.junit.Assert.*;
/**
* @author raver119@gmail.com
*/
public class InMemoryLookupTableTest {
@Before
public void setUp() throws Exception {
}
@Test
public void testConsumeOnEqualVocabs() throws Exception {
TokenizerFactory t = new DefaultTokenizerFactory();
t.setTokenPreProcessor(new CommonPreprocessor());
AbstractCache<VocabWord> cacheSource = new AbstractCache.Builder()
.build();
ClassPathResource resource = new ClassPathResource("big/raw_sentences.txt");
BasicLineIterator underlyingIterator = new BasicLineIterator(resource.getFile());
SentenceTransformer transformer = new SentenceTransformer.Builder()
.iterator(underlyingIterator)
.tokenizerFactory(t)
.build();
AbstractSequenceIterator<VocabWord> sequenceIterator = new AbstractSequenceIterator.Builder(transformer)
.build();
VocabConstructor<VocabWord> vocabConstructor = new VocabConstructor.Builder()
.addSource(sequenceIterator, 1)
.setTargetVocabCache(cacheSource)
.build();
vocabConstructor.buildJointVocabulary(false, true);
assertEquals(244, cacheSource.numWords());
InMemoryLookupTable<VocabWord> mem1 = (InMemoryLookupTable) new InMemoryLookupTable.Builder()
.vectorLength(100)
.cache(cacheSource)
.seed(17)
.build();
mem1.resetWeights(true);
InMemoryLookupTable<VocabWord> mem2 = (InMemoryLookupTable) new InMemoryLookupTable.Builder()
.vectorLength(100)
.cache(cacheSource)
.seed(15)
.build();
mem2.resetWeights(true);
assertNotEquals(mem1.vector("day"), mem2.vector("day"));
mem2.consume(mem1);
assertEquals(mem1.vector("day"), mem2.vector("day"));
}
@Test
public void testConsumeOnNonEqualVocabs() throws Exception {
TokenizerFactory t = new DefaultTokenizerFactory();
t.setTokenPreProcessor(new CommonPreprocessor());
AbstractCache<VocabWord> cacheSource = new AbstractCache.Builder()
.build();
ClassPathResource resource = new ClassPathResource("big/raw_sentences.txt");
BasicLineIterator underlyingIterator = new BasicLineIterator(resource.getFile());
SentenceTransformer transformer = new SentenceTransformer.Builder()
.iterator(underlyingIterator)
.tokenizerFactory(t)
.build();
AbstractSequenceIterator<VocabWord> sequenceIterator = new AbstractSequenceIterator.Builder(transformer)
.build();
VocabConstructor<VocabWord> vocabConstructor = new VocabConstructor.Builder()
.addSource(sequenceIterator, 1)
.setTargetVocabCache(cacheSource)
.build();
vocabConstructor.buildJointVocabulary(false, true);
assertEquals(244, cacheSource.numWords());
InMemoryLookupTable<VocabWord> mem1 = (InMemoryLookupTable) new InMemoryLookupTable.Builder()
.vectorLength(100)
.cache(cacheSource)
.build();
mem1.resetWeights(true);
AbstractCache<VocabWord> cacheTarget = new AbstractCache.Builder()
.build();
FileLabelAwareIterator labelAwareIterator = new FileLabelAwareIterator.Builder()
.addSourceFolder(new ClassPathResource("/paravec/labeled").getFile())
.build();
transformer = new SentenceTransformer.Builder()
.iterator(labelAwareIterator)
.tokenizerFactory(t)
.build();
sequenceIterator = new AbstractSequenceIterator.Builder<VocabWord>(transformer)
.build();
VocabConstructor<VocabWord> vocabTransfer = new VocabConstructor.Builder()
.addSource(sequenceIterator, 1)
.setTargetVocabCache(cacheTarget)
.build();
vocabTransfer.buildMergedVocabulary(cacheSource, true);
// those +3 go for 3 additional entries in target VocabCache: labels
assertEquals(cacheSource.numWords() + 3, cacheTarget.numWords());
InMemoryLookupTable<VocabWord> mem2 = (InMemoryLookupTable) new InMemoryLookupTable.Builder()
.vectorLength(100)
.cache(cacheTarget)
.seed(18)
.build();
mem2.resetWeights(true);
assertNotEquals(mem1.vector("day"), mem2.vector("day"));
mem2.consume(mem1);
assertEquals(mem1.vector("day"), mem2.vector("day"));
assertTrue(mem1.syn0.rows() < mem2.syn0.rows());
assertEquals(mem1.syn0.rows() + 3, mem2.syn0.rows());
}
}
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