class_docstr: Represents the contents of a hub.Module before it has been instantiated.
  
  Warning: Deprecated. This belongs to the hub.Module API and TF1 Hub format.
  For TF2, switch to plain SavedModels and hub.load().
  
  A ModuleSpec is the blueprint used by `Module` to create one or more instances
  of a specific module in one or more graphs. The details on how to construct
  the Module are internal to the library implementation but methods to inspect
  a Module interface are public.
  
  Note: Do not instantiate this class directly. Use `hub.load_module_spec` or
  `hub.create_module_spec`.
  
  THIS FUNCTION IS DEPRECATED.
docstr: Returns the module's signature names as an iterable of strings.
code: def get_signature_names(self, tags=None):
      """Returns the module's signature names as an iterable of strings."""
      pass
  
file_path: hub/tensorflow_hub/module_spec.py
imports: import abc
label_desc: Use image node_id 3 for calling the ModuleSpec obj's underlying member method code with example usage: obj.get_signature_names(tags) without return types