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deepjavalibrary / djl

An Engine-Agnostic Deep Learning Framework in Java
https://djl.ai
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BAAI/bge-m3 Model: data did not match any variant of untagged enum PreTokenizerWrapper #3438

Open iprovalo opened 3 months ago

iprovalo commented 3 months ago

Description

Runtime won't load a converted model for bge-m3

Expected Behavior

No errors.

Error Message

Exception in thread "main" java.lang.RuntimeException: data did not match any variant of untagged enum PreTokenizerWrapper at line 73 column 3 at ai.djl.huggingface.tokenizers.jni.TokenizersLibrary.createTokenizerFromString(Native Method) at ai.djl.huggingface.tokenizers.HuggingFaceTokenizer.newInstance(HuggingFaceTokenizer.java:176) at ai.djl.huggingface.tokenizers.HuggingFaceTokenizer.newInstance(HuggingFaceTokenizer.java:138) at ai.djl.huggingface.tokenizers.HuggingFaceTokenizer$Builder.build(HuggingFaceTokenizer.java:817) at ai.djl.huggingface.translator.TextEmbeddingTranslatorFactory.newInstance(TextEmbeddingTranslatorFactory.java:64) at ai.djl.translate.DeferredTranslatorFactory.newInstance(DeferredTranslatorFactory.java:69) at ai.djl.repository.zoo.BaseModelLoader.loadModel(BaseModelLoader.java:167) at ai.djl.repository.zoo.Criteria.loadModel(Criteria.java:172)

How to Reproduce?

  1. Convert the model:

djl-convert -m BAAI/bge-m3 -f OnnxRuntime

  1. Then run in Java:
    public static void main(String[] args) throws TranslateException, ModelNotFoundException, MalformedModelException, IOException {
        System.out.println(getEmbeddings("test").length);
    }

    public static float[] getEmbeddings(String text) throws ModelNotFoundException, MalformedModelException, IOException, TranslateException {
        Criteria<String, float[]> criteria =
                Criteria.builder()
                        .setTypes(String.class, float[].class)
                        .optModelPath(Paths.get("bge-m3"))
                        .optEngine("OnnxRuntime")
                        .optTranslatorFactory(new DeferredTranslatorFactory())
                        .optProgress(new ProgressBar())
                        .build();

        ZooModel<String, float[]> model = criteria.loadModel();
        Predictor<String, float[]> predictor = model.newPredictor();
        return predictor.predict(text);
    }
  1. Java project gradle:
    //DJL
    implementation 'ai.djl:api:0.29.0'
    implementation 'ai.djl.pytorch:pytorch-engine:0.29.0'

    implementation("ai.djl.onnxruntime:onnxruntime-engine:0.29.0") {
        exclude group: "com.microsoft.onnxruntime", module: "onnxruntime"
    }
    implementation "com.microsoft.onnxruntime:onnxruntime:1.18.0"

Environment Info - Conversion step

Please run the command ./gradlew debugEnv from the root directory of DJL (if necessary, clone DJL first). It will output information about your system, environment, and installation that can help us debug your issue. Paste the output of the command below:

> Task :integration:debugEnv
----------- System Properties -----------
java.specification.version: 21
sun.jnu.encoding: UTF-8
java.class.path: /dev/djl/integration/build/classes/java/main:/dev/djl/integration/build/resources/main:/Users/XXX/.gradle/caches/modules-2/files-2.1/commons-cli/commons-cli/1.8.0/41a4bff12057eecb6daaf9c7f36c237815be3da1/commons-cli-1.8.0.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.apache.logging.log4j/log4j-slf4j2-impl/2.23.1/c3ffee33404c3a178f026fd8c7ef0e058b01b01c/log4j-slf4j2-impl-2.23.1.jar:/dev/djl/basicdataset/build/libs/basicdataset-0.30.0-SNAPSHOT.jar:/dev/djl/model-zoo/build/libs/model-zoo-0.30.0-SNAPSHOT.jar:/dev/djl/testing/build/libs/testing-0.30.0-SNAPSHOT.jar:/dev/djl/engines/pytorch/pytorch-model-zoo/build/libs/pytorch-model-zoo-0.30.0-SNAPSHOT.jar:/dev/djl/engines/pytorch/pytorch-jni/build/libs/pytorch-jni-2.4.0-0.30.0-SNAPSHOT.jar:/dev/djl/engines/tensorflow/tensorflow-model-zoo/build/libs/tensorflow-model-zoo-0.30.0-SNAPSHOT.jar:/dev/djl/engines/ml/xgboost/build/libs/xgboost-0.30.0-SNAPSHOT.jar:/dev/djl/engines/ml/lightgbm/build/libs/lightgbm-0.30.0-SNAPSHOT.jar:/dev/djl/engines/onnxruntime/onnxruntime-engine/build/libs/onnxruntime-engine-0.30.0-SNAPSHOT.jar:/dev/djl/extensions/tokenizers/build/libs/tokenizers-0.30.0-SNAPSHOT.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.apache.logging.log4j/log4j-core/2.23.1/905802940e2c78042d75b837c136ac477d2b4e4d/log4j-core-2.23.1.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.apache.logging.log4j/log4j-api/2.23.1/9c15c29c526d9c6783049c0a77722693c66706e1/log4j-api-2.23.1.jar:/dev/djl/engines/pytorch/pytorch-engine/build/libs/pytorch-engine-0.30.0-SNAPSHOT.jar:/dev/djl/engines/tensorflow/tensorflow-engine/build/libs/tensorflow-engine-0.30.0-SNAPSHOT.jar:/dev/djl/api/build/libs/api-0.30.0-SNAPSHOT.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.testng/testng/7.10.2/30742acada21960d4333a4204039fbdc6a92083a/testng-7.10.2.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.slf4j/slf4j-api/2.0.13/80229737f704b121a318bba5d5deacbcf395bc77/slf4j-api-2.0.13.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.apache.commons/commons-csv/1.11.0/8f2dc805097da534612128b7cdf491a5a76752bf/commons-csv-1.11.0.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/ml.dmlc/xgboost4j_2.12/2.0.3/db511d04d1ca1364cde79a6c8238a2694e31c592/xgboost4j_2.12-2.0.3.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/commons-logging/commons-logging/1.3.3/580ad1a4f34876c4f964c083361de31b3d60be68/commons-logging-1.3.3.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/com.microsoft.ml.lightgbm/lightgbmlib/3.2.110/f6c85e5d7cc44d49c4544240ea5c96004680007b/lightgbmlib-3.2.110.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/com.microsoft.onnxruntime/onnxruntime/1.18.0/bacf73dc2e1d92941744c6a3f8c01fc674189d36/onnxruntime-1.18.0.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/com.google.code.gson/gson/2.11.0/527175ca6d81050b53bdd4c457a6d6e017626b0e/gson-2.11.0.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/net.java.dev.jna/jna/5.14.0/67bf3eaea4f0718cb376a181a629e5f88fa1c9dd/jna-5.14.0.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.apache.commons/commons-compress/1.26.2/eb1f823447af685208e684fce84783b43517960c/commons-compress-1.26.2.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/commons-io/commons-io/2.16.1/377d592e740dc77124e0901291dbfaa6810a200e/commons-io-2.16.1.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/commons-codec/commons-codec/1.17.0/dbe8eef6e14460e73da07f7b11bf994d6626355/commons-codec-1.17.0.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/com.beust/jcommander/1.82/a7c5fef184d238065de38f81bbc6ee50cca2e21/jcommander-1.82.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.webjars/jquery/3.7.1/42088e652462c40a369b64d87e18e825644acfab/jquery-3.7.1.jar:/dev/djl/engines/tensorflow/tensorflow-api/build/libs/tensorflow-api-0.30.0-SNAPSHOT.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.scala-lang.modules/scala-collection-compat_2.12/2.10.0/bf81785e892f4185f470bddd205b011237aab553/scala-collection-compat_2.12-2.10.0.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/com.google.errorprone/error_prone_annotations/2.27.0/91b2c29d8a6148b5e2e4930f070d4840e2e48e34/error_prone_annotations-2.27.0.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.tensorflow/tensorflow-core-api/1.0.0-rc.1/ea1878fb8e289742237e5a0ba6f15398f3e9b7ef/tensorflow-core-api-1.0.0-rc.1.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.tensorflow/tensorflow-core-native/1.0.0-rc.1/62b5fa3283865cc696dfbebf073ca2116b18f327/tensorflow-core-native-1.0.0-rc.1.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.bytedeco/javacpp/1.5.10/afb6ae145e7563c66b677cb4896dd0197d49fce6/javacpp-1.5.10.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/com.google.protobuf/protobuf-java/3.25.3/d3200261955f3298e0d85c9892201e70492ce8eb/protobuf-java-3.25.3.jar:/Users/XXX/.gradle/caches/modules-2/files-2.1/org.tensorflow/ndarray/1.0.0-rc.1/4a96a398ad87bec32be9177b1441b9880c04d822/ndarray-1.0.0-rc.1.jar
java.vm.vendor: Amazon.com Inc.
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-------------- Directories --------------
temp directory: /var/folders/x2/bs_p9trx49nbbqfntcn0fncm0000gn/T
DJL cache directory: /Users/XXX/.djl.ai
Engine cache directory: /Users/XXX/.djl.ai

------------------ CUDA -----------------
GPU Count: 0

----------------- Engines ---------------
DJL version: 0.30.0-SNAPSHOT
[INFO ] - Downloading https://publish.djl.ai/pytorch/2.4.0/cpu/osx-aarch64/native/lib/libc10.dylib.gz ...
[INFO ] - Downloading https://publish.djl.ai/pytorch/2.4.0/cpu/osx-aarch64/native/lib/libomp.dylib.gz ...
[INFO ] - Downloading https://publish.djl.ai/pytorch/2.4.0/cpu/osx-aarch64/native/lib/libtorch_cpu.dylib.gz ...
[INFO ] - Downloading https://publish.djl.ai/pytorch/2.4.0/cpu/osx-aarch64/native/lib/libtorch.dylib.gz ...
[INFO ] - Extracting jnilib/osx-aarch64/cpu/libdjl_torch.dylib to cache ...
[INFO ] - PyTorch graph executor optimizer is enabled, this may impact your inference latency and throughput. See: https://docs.djl.ai/master/docs/development/inference_performance_optimization.html#graph-executor-optimization
[INFO ] - Number of inter-op threads is 16
[INFO ] - Number of intra-op threads is 12
Default Engine: PyTorch:2.4.0, capabilities: [
        OPENMP,
]
PyTorch Library: /Users/XXX/.djl.ai/pytorch/2.4.0-cpu-osx-aarch64
Default Device: cpu()
Rust: 4
PyTorch: 2
XGBoost: 10
LightGBM: 10
OnnxRuntime: 10
TensorFlow: 3

--------------- Hardware --------------
Available processors (cores): 16
Byte Order: LITTLE_ENDIAN
Free memory (bytes): 1065250856
Maximum memory (bytes): 17179869184
Total memory available to JVM (bytes): 1082130432
Heap committed: 1082130432
Heap nonCommitted: 31916032
GCC: 
Apple clang version 15.0.0 (clang-1500.3.9.4)
Target: arm64-apple-darwin23.5.0
Thread model: posix
InstalledDir: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin

BUILD SUCCESSFUL in 1m 46s
52 actionable tasks: 52 executed
frankfliu commented 3 months ago

@iprovalo I'm not able to reproduce your issue. I converted the model on mac, and everything works as expected.

Here is the files that after I converted to onnx:

-rw-r--r--   1 lufen  staff         736 Aug 26 21:25 config.json
-rw-r--r--   1 lufen  staff      683420 Aug 26 21:26 model.onnx
-rw-r--r--   1 lufen  staff  2266886160 Aug 26 21:26 model.onnx_data
-rw-r--r--   1 lufen  staff     5069051 Aug 26 21:25 sentencepiece.bpe.model
-rw-r--r--   1 lufen  staff         162 Aug 26 21:26 serving.properties
-rw-r--r--   1 lufen  staff         964 Aug 26 21:25 special_tokens_map.json
-rw-r--r--   1 lufen  staff    17082799 Aug 26 21:25 tokenizer.json
-rw-r--r--   1 lufen  staff        1173 Aug 26 21:25 tokenizer_config.json
iprovalo commented 3 months ago

@frankfliu thank you for trying to reproduce. I will continue debugging. I will report back on this thread if I find the issue with my set up.