D:\anaconda3\envs\py310\python.exe D:\dsWork\QingLong\AI\Pdf\T2_AutoAll.py
Creating model: ('PP-LCNet_x1_0_doc_ori', None)
Using official model (PP-LCNet_x1_0_doc_ori), the model files will be automatically downloaded and saved in C:\Users\Administrator\.paddlex\official_models.
Traceback (most recent call last):
  File "D:\dsWork\QingLong\AI\Pdf\T2_AutoAll.py", line 29, in <module>
    pdf_to_text(source, target)
  File "D:\dsWork\QingLong\AI\Pdf\T2_AutoAll.py", line 10, in pdf_to_text
    ocr = PaddleOCR(use_textline_orientation=True, lang="ch", ocr_version='PP-OCRv3')
  File "D:\anaconda3\envs\py310\lib\site-packages\paddleocr\_pipelines\ocr.py", line 161, in __init__
    super().__init__(**base_params)
  File "D:\anaconda3\envs\py310\lib\site-packages\paddleocr\_pipelines\base.py", line 63, in __init__
    self.paddlex_pipeline = self._create_paddlex_pipeline()
  File "D:\anaconda3\envs\py310\lib\site-packages\paddleocr\_pipelines\base.py", line 97, in _create_paddlex_pipeline
    return create_pipeline(config=self._merged_paddlex_config, **kwargs)
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\__init__.py", line 165, in create_pipeline
    pipeline = BasePipeline.get(pipeline_name)(
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\utils\deps.py", line 195, in _wrapper
    return old_init_func(self, *args, **kwargs)
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\_parallel.py", line 103, in __init__
    self._pipeline = self._create_internal_pipeline(config, self.device)
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\_parallel.py", line 158, in _create_internal_pipeline
    return self._pipeline_cls(
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\ocr\pipeline.py", line 73, in __init__
    self.doc_preprocessor_pipeline = self.create_pipeline(
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\base.py", line 140, in create_pipeline
    pipeline = create_pipeline(
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\__init__.py", line 165, in create_pipeline
    pipeline = BasePipeline.get(pipeline_name)(
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\utils\deps.py", line 195, in _wrapper
    return old_init_func(self, *args, **kwargs)
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\_parallel.py", line 103, in __init__
    self._pipeline = self._create_internal_pipeline(config, self.device)
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\_parallel.py", line 158, in _create_internal_pipeline
    return self._pipeline_cls(
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\doc_preprocessor\pipeline.py", line 67, in __init__
    self.doc_ori_classify_model = self.create_model(doc_ori_classify_config)
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\base.py", line 107, in create_model
    model = create_predictor(
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\__init__.py", line 77, in create_predictor
    return BasePredictor.get(model_name)(
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\image_classification\predictor.py", line 49, in __init__
    self.preprocessors, self.infer, self.postprocessors = self._build()
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\image_classification\predictor.py", line 82, in _build
    infer = self.create_static_infer()
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\base\predictor\base_predictor.py", line 240, in create_static_infer
    return PaddleInfer(self.model_dir, self.MODEL_FILE_PREFIX, self._pp_option)
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\common\static_infer.py", line 274, in __init__
    self.predictor = self._create()
  File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\common\static_infer.py", line 360, in _create
    config.set_optimization_level(3)
AttributeError: 'paddle.base.libpaddle.AnalysisConfig' object has no attribute 'set_optimization_level'. Did you mean: 'tensorrt_optimization_level'?