class_docstr: Wrapper for TF modules to support deprecation messages and lazyloading.
code: def __delattr__(self, name):
      if name.startswith("_tfmw_"):
          super(TFModuleWrapper, self).__delattr__(name)
      else:
          delattr(self._tfmw_wrapped_module, name)
          self.__dict__.pop(name)
          if name in self.__all__:
              self.__all__.remove(name)
          self._fastdict_pop(name)
  
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 8 for calling the TFModuleWrapper obj's underlying member method code with example usage: obj.__delattr__(name) without return types