code: def to_cpu(array: jnp.ndarray):
      """Transfers array (replicated on multiple hosts) to a single host.
  
      Args:
        array: Replicated array of shape
          [num_hosts, num_devices, local_batch_size, ...].
  
      Returns:
        array of shape [global_batch_size, ...] where
          global_batch_size = num_devices * local_batch_size
      """
      return jax.device_get(
          dataset_utils.unshard(jax_utils.unreplicate(array))
      )
  
imports: import os
  from typing import Any, Dict, Tuple, Optional
  import flax
  from flax import jax_utils
  from flax import struct
  from flax.training import checkpoints
  import jax
  import jax.numpy
  import jax.profiler
  import ml_collections
  import optax
  from scenic.dataset_lib import dataset_utils
  from tensorflow.io import gfile
label_desc: Use image node_id 3 for calling a global function with example usage: to_cpu(array) and returns: jax