code: def apply(
      self, state: tp.Union[State, str], *states: tp.Union[State, str]
  ) -> ApplyCaller[tuple[State, GraphDef[M]]]:
      states = (state, *states)
  
      _states = (
          getattr(self, state) if isinstance(state, str) else state
          for state in states
      )
  
      return self.graphdef.apply(*_states)
  
imports: from __future__ import annotations
  import inspect
  import typing
  import jax
  import jax.numpy
  import numpy
  import optax
  from flax.experimental.nnx.nnx import pytreelib
  from flax.experimental.nnx.nnx.module import GraphDef, Module
  from flax.experimental.nnx.nnx.proxy_caller import ApplyCaller
  from flax.experimental.nnx.nnx.rnglib import Rngs
  from flax.experimental.nnx.nnx.state import State
label_desc: Use image node_id 2 for calling the TrainState obj's underlying member method code with example usage: obj.apply(state) and returns: self