parameters: (self, fname, dump_optimizer=False)
docstring: Saves the optimizer (updater) state to a file. This is often used when checkpointing
          the model during training.
  
          Parameters
          ----------
          fname : str
              Path to the output states file.
          dump_optimizer : bool, default False
              Whether to also save the optimizer itself. This would also save optimizer
              information such as learning rate and weight decay schedules.
docstring_summary: Saves the optimizer (updater) state to a file. This is often used when checkpointing
          the model during training.
docstring_tokens: Saves the optimizer ( updater ) state to a file . This is often used when checkpointing the model during training .
function: def save_optimizer_states(self, fname, dump_optimizer=False):
          """Saves the optimizer (updater) state to a file. This is often used when checkpointing
          the model during training.
  
          Parameters
          ----------
          fname : str
              Path to the output states file.
          dump_optimizer : bool, default False
              Whether to also save the optimizer itself. This would also save optimizer
              information such as learning rate and weight decay schedules.
          """
          raise NotImplementedError()
function_tokens: def save_optimizer_states ( self , fname , dump_optimizer = False ) : raise NotImplementedError ( )