code: def get_vision_tower(self):
      vision_tower = getattr(self, "vision_tower", None)
      if type(vision_tower) is list:
          vision_tower = vision_tower[0]
      return vision_tower
  
imports: from abc import ABC, abstractmethod
  import torch
  import torch.nn
  import torch.nn.functional
  import math
  from .multimodal_encoder.builder import build_vision_tower
  import pdb
  from ferret.constants import IGNORE_INDEX, IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_PATCH_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN
label_desc: Use image node_id 2 for calling the FERRETMetaModel obj's underlying member method code with example usage: obj.get_vision_tower() and returns: vision_tower