code: def model_to_tf_module(model: types.ModelToSnapshot) -> tf.Module:
      def jax_fn_to_save(**kwargs):
          return model.model(model.params, **kwargs)
  
      module = tf.Module()
      module.f = tf.function(
          jax2tf.convert(jax_fn_to_save), autograph=False
      )
      # Traces input to ensure the model has the correct shapes.
      module.f(**model.dummy_kwargs)
      return module
  
file_path: acme/acme/jax/snapshotter.py
imports: import os
  import time
  from typing import Callable, Dict, List, Optional, Sequence, Tuple
  from absl import logging
  from acme import core
  from acme.jax import types
  from acme.utils import signals
  from acme.utils import paths
  from jax.experimental import jax2tf
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: model_to_tf_module(model) and returns: module, model