Refa: rm useless code. (#11238)

### Type of change

- [x] Refactoring

deepdoc/parser/figure_parser.py

@@ -34,6 +34,7 @@ def vision_figure_parser_figure_data_wrapper(figures_data_without_positions):
         if isinstance(figure_data[1], Image.Image)
     ]
 
+
 def vision_figure_parser_docx_wrapper(sections,tbls,callback=None,**kwargs):
     try:
         vision_model = LLMBundle(kwargs["tenant_id"], LLMType.IMAGE2TEXT)
@@ -50,7 +51,8 @@ def vision_figure_parser_docx_wrapper(sections,tbls,callback=None,**kwargs):
             callback(0.8, f"Visual model error: {e}. Skipping figure parsing enhancement.")
     return tbls
 
-def vision_figure_parser_pdf_wrapper(tbls,callback=None,**kwargs):
+
+def vision_figure_parser_pdf_wrapper(tbls, callback=None, **kwargs):
     try:
         vision_model = LLMBundle(kwargs["tenant_id"], LLMType.IMAGE2TEXT)
         callback(0.7, "Visual model detected. Attempting to enhance figure extraction...")
@@ -72,6 +74,7 @@ def vision_figure_parser_pdf_wrapper(tbls,callback=None,**kwargs):
             callback(0.8, f"Visual model error: {e}. Skipping figure parsing enhancement.")
     return tbls
 
+
 shared_executor = ThreadPoolExecutor(max_workers=10)
 
 

deepdoc/vision/ocr.py

@@ -117,7 +117,6 @@ def load_model(model_dir, nm, device_id: int | None = None):
             providers=['CUDAExecutionProvider'],
             provider_options=[cuda_provider_options]
             )
-        run_options.add_run_config_entry("memory.enable_memory_arena_shrinkage", "gpu:" + str(provider_device_id))
         logging.info(f"load_model {model_file_path} uses GPU (device {provider_device_id}, gpu_mem_limit={cuda_provider_options['gpu_mem_limit']}, arena_strategy={arena_strategy})")
     else:
         sess = ort.InferenceSession(