From 73b3f02d190092326a04068cd6d1d1cbf29c8d72 Mon Sep 17 00:00:00 2001 From: xinyual Date: Wed, 27 Sep 2023 08:27:17 +0800 Subject: [PATCH] remove duplicate tokenizer file, fix import problem and add comment for tokenizer model Signed-off-by: xinyual --- .../SparseEncodingTranslator.java | 18 ++++++------------ .../tokenize/SparseTokenizerModel.java | 19 +++++++++++++------ .../TextEmbeddingSparseEncodingModelTest.java | 18 +++++++++++------- .../algorithms/sparse_encoding/tokenizer.json | 1 - 4 files changed, 30 insertions(+), 26 deletions(-) delete mode 100644 ml-algorithms/src/test/resources/org/opensearch/ml/engine/algorithms/sparse_encoding/tokenizer.json diff --git a/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/sparse_encoding/SparseEncodingTranslator.java b/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/sparse_encoding/SparseEncodingTranslator.java index e06232ca54..13d1c63dee 100644 --- a/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/sparse_encoding/SparseEncodingTranslator.java +++ b/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/sparse_encoding/SparseEncodingTranslator.java @@ -5,26 +5,20 @@ package org.opensearch.ml.engine.algorithms.sparse_encoding; -import ai.djl.huggingface.tokenizers.Encoding; -import ai.djl.huggingface.tokenizers.HuggingFaceTokenizer; -import ai.djl.modality.Input; import ai.djl.modality.Output; import ai.djl.ndarray.NDArray; import ai.djl.ndarray.NDList; -import ai.djl.ndarray.NDManager; -import ai.djl.ndarray.types.DataType; -import ai.djl.translate.Batchifier; -import ai.djl.translate.ServingTranslator; import ai.djl.translate.TranslatorContext; -import org.opensearch.ml.common.output.model.MLResultDataType; import org.opensearch.ml.common.output.model.ModelTensor; import org.opensearch.ml.common.output.model.ModelTensors; import org.opensearch.ml.engine.algorithms.SentenceTransformerTranslator; -import java.io.IOException; -import java.nio.ByteBuffer; -import java.nio.file.Path; -import java.util.*; +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.Iterator; +import java.util.List; +import java.util.Map; import static org.opensearch.ml.common.CommonValue.ML_MAP_RESPONSE_KEY; diff --git a/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/tokenize/SparseTokenizerModel.java b/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/tokenize/SparseTokenizerModel.java index 4a58a74c93..120bf2ab20 100644 --- a/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/tokenize/SparseTokenizerModel.java +++ b/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/tokenize/SparseTokenizerModel.java @@ -16,7 +16,6 @@ import ai.djl.translate.TranslateException; import ai.djl.translate.Translator; import ai.djl.translate.TranslatorFactory; -import com.google.gson.Gson; import com.google.gson.reflect.TypeToken; import lombok.extern.log4j.Log4j2; import org.opensearch.ml.common.FunctionName; @@ -36,18 +35,26 @@ import java.lang.reflect.Type; import java.nio.file.Files; import java.nio.file.Path; -import java.util.Map; -import java.util.List; import java.util.ArrayList; import java.util.Arrays; -import java.util.HashMap; import java.util.Collections; +import java.util.HashMap; +import java.util.List; +import java.util.Map; import java.util.stream.Collectors; -import static org.opensearch.ml.common.utils.StringUtils.gson; import static org.opensearch.ml.common.CommonValue.ML_MAP_RESPONSE_KEY; -import static org.opensearch.ml.engine.utils.FileUtils.deleteFileQuietly; +import static org.opensearch.ml.common.utils.StringUtils.gson; +/** + * Tokenizer model will load from two file: tokenizer file and IDF file. + * For IDF file, it is a predefined weight for each Token. It is calculated like the BM25 IDF for each dataset. + * Decouple idf with model inference will give a more tight upperbound for predicted token weight. And this can help accelerate the WAND algorithm for lucene 9.7. + * IDF introduces global token information, boost search relevance. + * In our pretrained Tokenizer model, we will provide a general IDF from MSMARCO. Customer could recalculate a IDF in their own dataset. + * If without IDF, the weight of each token in the result will be set to 1.0. + * Since we regard tokenizer as a model. Cusotmer needs to keep the consistency between tokenizer/model by themselves. + */ @Log4j2 @Function(FunctionName.SPARSE_TOKENIZE) public class SparseTokenizerModel extends DLModel { diff --git a/ml-algorithms/src/test/java/org/opensearch/ml/engine/algorithms/sparse_encoding/TextEmbeddingSparseEncodingModelTest.java b/ml-algorithms/src/test/java/org/opensearch/ml/engine/algorithms/sparse_encoding/TextEmbeddingSparseEncodingModelTest.java index 2c2c572d54..92d72fd7d4 100644 --- a/ml-algorithms/src/test/java/org/opensearch/ml/engine/algorithms/sparse_encoding/TextEmbeddingSparseEncodingModelTest.java +++ b/ml-algorithms/src/test/java/org/opensearch/ml/engine/algorithms/sparse_encoding/TextEmbeddingSparseEncodingModelTest.java @@ -1,6 +1,8 @@ package org.opensearch.ml.engine.algorithms.sparse_encoding; import ai.djl.Model; +import ai.djl.modality.Input; +import ai.djl.modality.Output; import ai.djl.ndarray.NDArray; import ai.djl.ndarray.NDList; import ai.djl.ndarray.NDManager; @@ -27,22 +29,24 @@ import org.opensearch.ml.engine.encryptor.Encryptor; import org.opensearch.ml.engine.encryptor.EncryptorImpl; import org.opensearch.ml.engine.utils.FileUtils; -import ai.djl.modality.Input; import java.io.File; import java.io.IOException; -import ai.djl.modality.Output; - import java.net.URISyntaxException; import java.nio.file.Path; import java.nio.file.Paths; -import java.util.*; +import java.util.Arrays; +import java.util.Collections; +import java.util.HashMap; +import java.util.Iterator; +import java.util.List; +import java.util.Map; +import java.util.UUID; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertNotNull; import static org.mockito.Mockito.*; import static org.opensearch.ml.engine.algorithms.DLModel.*; -import static org.opensearch.ml.engine.algorithms.DLModel.ML_ENGINE; public class TextEmbeddingSparseEncodingModelTest { @Rule @@ -98,7 +102,7 @@ public void test_SparseEncoding_Translator_ProcessInput() throws URISyntaxExcept TranslatorContext translatorContext = mock(TranslatorContext.class); Model mlModel = mock(Model.class); when(translatorContext.getModel()).thenReturn(mlModel); - when(mlModel.getModelPath()).thenReturn(Paths.get(getClass().getResource("tokenizer.json").toURI()).getParent()); + when(mlModel.getModelPath()).thenReturn(Paths.get(getClass().getResource("../tokenize/tokenizer.json").toURI()).getParent()); sparseEncodingTranslator.prepare(translatorContext); NDManager manager = mock(NDManager.class); @@ -126,7 +130,7 @@ public void test_SparseEncoding_Translator_ProcessOutput() throws URISyntaxExcep TranslatorContext translatorContext = mock(TranslatorContext.class); Model mlModel = mock(Model.class); when(translatorContext.getModel()).thenReturn(mlModel); - when(mlModel.getModelPath()).thenReturn(Paths.get(getClass().getResource("tokenizer.json").toURI()).getParent()); + when(mlModel.getModelPath()).thenReturn(Paths.get(getClass().getResource("../tokenize/tokenizer.json").toURI()).getParent()); sparseEncodingTranslator.prepare(translatorContext); NDArray ndArray = mock(NDArray.class); diff --git a/ml-algorithms/src/test/resources/org/opensearch/ml/engine/algorithms/sparse_encoding/tokenizer.json b/ml-algorithms/src/test/resources/org/opensearch/ml/engine/algorithms/sparse_encoding/tokenizer.json deleted file mode 100644 index cb202bfe2e..0000000000 --- a/ml-algorithms/src/test/resources/org/opensearch/ml/engine/algorithms/sparse_encoding/tokenizer.json +++ /dev/null @@ -1 +0,0 @@ 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