class_docstr: Abstract base PyTorch compressor
docstr: unwrap all modules that needed to be compressed
docstr_tok: ["unwrap","all","modules","that","needed","to","be","compressed"]
code: def _unwrap_model(self):
      """
      unwrap all modules that needed to be compressed
  
      """
      for wrapper in self.get_modules_wrapper():
          _setattr(self.bound_model, wrapper.name, wrapper.module)
      self.is_wrapped = False
  
imports: import types
  import logging
  import torch
  from .None import default_layers
label_desc: Use image node_id 6 for calling the Compressor obj's underlying member method code with example usage: obj._unwrap_model() without return types