code: def save_checkpoint(state, workdir):
      state = jax.device_get(
          jax.tree_util.tree_map(lambda x: x[0], state)
      )
      step = int(state.step)
      logging.info("Saving checkpoint step %d.", step)
      checkpoints.save_checkpoint_multiprocess(
          workdir, state, step, keep=3
      )
  
imports: import functools
  import time
  from typing import Any
  from absl import logging
  from clu import metric_writers
  from clu import periodic_actions
  from flax import jax_utils
  from flax.training import checkpoints
  from flax.training import common_utils
  from flax.training import dynamic_scale
  from flax.training import train_state
  import jax
  from jax import lax
  import jax.numpy
  from jax import random
  import ml_collections
  import optax
  import tensorflow
  import tensorflow_datasets
  import input_pipeline
  import models
label_desc: Use image node_id 11 for calling a global function with example usage: save_checkpoint(state, workdir) without return types