class_docstr: Wrapper for TF modules to support deprecation messages and lazyloading.
code: def __setattr__(self, arg, val):
      if not arg.startswith("_tfmw_"):
          setattr(self._tfmw_wrapped_module, arg, val)
          self.__dict__[arg] = val
          if arg not in self.__all__ and arg != "__all__":
              self.__all__.append(arg)
          # Update the cache
          if self._fastdict_key_in(arg):
              self._fastdict_insert(arg, val)
      super(TFModuleWrapper, self).__setattr__(arg, val)
  
imports: import importlib
  from tensorflow.python.eager import monitoring
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import fast_module_type
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util import tf_inspect
  from tensorflow.tools.compatibility import all_renames_v2
label_desc: Use image node_id 6 for calling the TFModuleWrapper obj's underlying member method code with example usage: obj.__setattr__(arg, val) without return types