code: def sync_batch_stats(state):
      """Sync the batch statistics across replicas."""
      # Each device has its own version of the running average batch statistics and
      # we sync them before evaluation.
      return state.replace(
          batch_stats=cross_replica_mean(state.batch_stats)
      )
  
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 12 for calling a global function with example usage: sync_batch_stats(state) and returns: state