class_docstr: Abstract base PyTorch compressor
docstr: wrap all modules that needed to be compressed
docstr_tok: ["wrap","all","modules","that","needed","to","be","compressed"]
code: def _wrap_model(self):
      """
      wrap all modules that needed to be compressed
  
      """
      for wrapper in reversed(self.get_modules_wrapper()):
          _setattr(self.bound_model, wrapper.name, wrapper)
      self.is_wrapped = True
  
imports: import types
  import logging
  import torch
  from .None import default_layers
label_desc: Use image node_id 5 for calling the Compressor obj's underlying member method code with example usage: obj._wrap_model() without return types