class_docstr: This is a thin wrapper for head execution, which records the output of
  wrapped module for executing the heads forked from this module.
code: def wrapped_module(self):
      return self._module
  
file_path: ClassyVision/classy_vision/models/classy_block.py
imports: import os
  import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the ClassyBlock obj's underlying member method code with example usage: obj.wrapped_module() and returns: self