class_docstr: Specifies docstring source for a module.
  
  Only one of docstring or docstring_module_name should be set.
  * If docstring is set, then we will use this docstring when
    for the module.
  * If docstring_module_name is set, then we will copy the docstring
    from docstring source module.
class_docstr_tok: ["Specifies","docstring","source","for","a","module",".","Only","one","of","docstring","or","docstring_module_name","should","be","set",".","*","If","docstring","is","set",",","then","we","will","use","this","docstring","when","for","the","module",".","*","If","docstring_module_name","is","set",",","then","we","will","copy","the","docstring","from","docstring","source","module","."]
code: def __init__(self, docstring=None, docstring_module_name=None):
      self.docstring = docstring
      self.docstring_module_name = docstring_module_name
  
      if (
          self.docstring is not None
          and self.docstring_module_name is not None
      ):
          raise ValueError(
              "Only one of `docstring` or `docstring_module_name` can "
              "be set."
          )
  
imports: from tensorflow.python.util import tf_export
label_desc: Use image node_id 1 to create a new DocSource object from inherited base classes: object with example: obj = DocSource(docstring, docstring_module_name)