class_docstr: Periodically fetches new version of params and stores tf.saved_models.
class_docstr_tok: ["Periodically","fetches","new","version","of","params","and","stores","tf.saved_models","."]
code: def _snapshot_model(
      self, model: types.ModelToSnapshot, saving_path: str
  ) -> None:
      module = model_to_tf_module(model)
      tf.saved_model.save(module, saving_path)
  
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 5 for calling the JAXSnapshotter obj's underlying member method code with example usage: obj._snapshot_model(model, saving_path) without return types