code: def make_all(module_name, doc_string_modules=None):
      """Generates `__all__` from the docstring of one or more modules.
  
      Usage: `make_all(__name__)` or
      `make_all(__name__, [sys.modules(__name__), other_module])`. The doc string
      modules must each a docstring, and `__all__` will contain all symbols with
      `@@` references, where that symbol currently exists in the module named
      `module_name`.
  
      Args:
        module_name: The name of the module (usually `__name__`).
        doc_string_modules: a list of modules from which to take docstring.
        If None, then a list containing only the module named `module_name` is used.
  
      Returns:
        A list suitable for use as `__all__`.
      """
      if doc_string_modules is None:
          doc_string_modules = [_sys.modules[module_name]]
      cur_members = set(
          name
          for name, _ in _tf_inspect.getmembers(
              _sys.modules[module_name]
          )
      )
  
      results = set()
      for doc_module in doc_string_modules:
          results.update(
              [
                  m.group(1)
                  for m in _reference_pattern.finditer(
                      doc_module.__doc__
                  )
                  if m.group(1) in cur_members
              ]
          )
      return list(results)
  
imports: import re
  import sys
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 1 for calling a global function with example usage: make_all(module_name, doc_string_modules) and returns: list