使用 nuitka 编译的程序打包运行时出错： AssertionError: ContextualParaformer is not registered

[kanslor]

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代码在python环节中运行没有问题，我使用nuitka 打包了包含有funasr的程序，编译完成后，我自行导入了部分缺失的组件，在运行编译完成的程序时出现以下错误提示。请问我是缺失了什么必要的组件吗？

Traceback (most recent call last):
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/utils/registry.py", line 210, in build_from_cfg
    return obj_cls._instantiate(**args)
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/models/base/base_model.py", line 67, in _instantiate
    return cls(**kwargs)
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/models/audio/funasr/model.py", line 55, in __init__
    self.model = AutoModel(model=model_dir, **kwargs)
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/funasr/auto/auto_model.py", line 124, in __init__
    model, kwargs = self.build_model(**kwargs)
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/funasr/auto/auto_model.py", line 218, in build_model
    assert model_class is not None, f'{kwargs["model"]} is not registered'
AssertionError: ContextualParaformer is not registered

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/utils/registry.py", line 212, in build_from_cfg
    return obj_cls(**args)
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/pipelines/audio/funasr_pipeline.py", line 62, in __init__
    super().__init__(model=model, **kwargs)
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/pipelines/base.py", line 100, in __init__
    self.model = self.initiate_single_model(model, **kwargs)
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/pipelines/base.py", line 53, in initiate_single_model
    return Model.from_pretrained(
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/models/base/base_model.py", line 183, in from_pretrained
    model = build_model(model_cfg, task_name=task_name)
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/models/builder.py", line 35, in build_model
    model = build_from_cfg(
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/utils/registry.py", line 215, in build_from_cfg
    raise type(e)(f'{obj_cls.__name__}: {e}')
AssertionError: GenericFunASR: ContextualParaformer is not registered

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/voice_tts_service.py", line 49, in <module>
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/pipelines/builder.py", line 170, in pipeline
    return build_pipeline(cfg, task_name=task)
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/pipelines/builder.py", line 65, in build_pipeline
    return build_from_cfg(
  File "/home/isoface/chatgpt/gpt_bot/voice_tts_service/voice_tts_service.dist/modelscope/utils/registry.py", line 215, in build_from_cfg
    raise type(e)(f'{obj_cls.__name__}: {e}')
AssertionError: FunASRPipeline: GenericFunASR: ContextualParaformer is not registered

Before asking:

1. search the issues.
2. search the docs.

What is your question?

Code

from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks

inference_pipeline = pipeline(
    task=Tasks.auto_speech_recognition,
    model=RECOGNITION_MODEL,
    vad_model= VAD_MODEL,
    vad_model_revision = VAD_MODEL_REVISION,
    punc_model = PUNC_MODEL
)
...

What have you tried?

What's your environment?

• OS (Debian 12):

• Python Packages:

  funasr==1.0.30
  matplotlib==3.7.2
  modelscope==1.15.0
  Nuitka==2.3.10
  opencc-python-reimplemented==0.1.7
  pydub==0.25.1
  pytorch_wavelets==1.3.0
  tensorboardX==2.6.2.2
  torch==2.2.2
  torchaudio==2.2.2
  

• How you installed funasr (pip):

• Python version: 3.8.19