code: def get_sentence_embedding_dimension(self) -> int:
      for name in self.sub_modules:
          if hasattr(
              self.sub_modules[name][0],
              "get_sentence_embedding_dimension",
          ):
              return self.sub_modules[name][
                  0
              ].get_sentence_embedding_dimension()
      return None
  
file_path: sentence-transformers/sentence_transformers/models/Asym.py
imports: from torch import Tensor
  from torch import nn
  import os
  import json
  from ..util import import_from_string
  from collections import OrderedDict
  from typing import List, Dict, Union, Tuple
label_desc: Use image node_id 3 for calling the Asym obj's underlying member method code with example usage: obj.get_sentence_embedding_dimension() and returns: None, self