parameters: (module: torch.nn.Module, graph: Graph, prefix: str, value: Any)
return_statement: return attr_node
docstring: Given a value of any type, creates a getattr node corresponding to the value and
      registers the value as a buffer to the module.
docstring_summary: Given a value of any type, creates a getattr node corresponding to the value and
      registers the value as a buffer to the module.
docstring_tokens: Given a value of any type creates a getattr node corresponding to the value and registers the value as a buffer to the module .
function: def create_getattr_from_value(module: torch.nn.Module, graph: Graph, prefix: str, value: Any) -> Node:
      """
      Given a value of any type, creates a getattr node corresponding to the value and
      registers the value as a buffer to the module.
      """
      get_new_attr_name = get_new_attr_name_with_prefix(prefix)
      attr_name = get_new_attr_name(module)
      device = assert_and_get_unique_device(module)
      module.register_buffer(attr_name, torch.tensor(value, device=device))
      # Create get_attr with value
      attr_node = graph.create_node("get_attr", attr_name)
      return attr_node
function_tokens: def create_getattr_from_value ( module : torch . nn . Module , graph : Graph , prefix : str , value : Any ) -> Node : get_new_attr_name = get_new_attr_name_with_prefix ( prefix ) attr_name = get_new_attr_name ( module ) device = assert_and_get_unique_device ( module ) module . register_buffer ( attr_name , torch . tensor ( value , device = device ) ) # Create get_attr with value attr_node = graph . create_node ( "get_attr" , attr_name ) return attr_node