parameters: (self, model, input_statistics=None)
docstring: Adds required operations to the graph.
docstring_summary: Adds required operations to the graph.
docstring_tokens: Adds required operations to the graph .
function: def initialize_graph(self, model, input_statistics=None):
      """Adds required operations to the graph."""
      super(ChainingStateManager, self).initialize_graph(
          model=model, input_statistics=input_statistics)
      self._start_state = model.get_start_state()
      self._cached_states = math_utils.TupleOfTensorsLookup(
          key_dtype=dtypes.int64,
          default_values=self._start_state,
          empty_key=-1,
          name="cached_states",
          checkpoint=self._checkpoint_state)
function_tokens: def initialize_graph ( self , model , input_statistics = None ) : super ( ChainingStateManager , self ) . initialize_graph ( model = model , input_statistics = input_statistics ) self . _start_state = model . get_start_state ( ) self . _cached_states = math_utils . TupleOfTensorsLookup ( key_dtype = dtypes . int64 , default_values = self . _start_state , empty_key = - 1 , name = "cached_states" , checkpoint = self . _checkpoint_state )