code: def prepare_tf_data_unbatched(xs):
      """Prepare TF dataset into unbatched numpy arrays."""
      # Use _numpy() for zero-copy conversion between TF and NumPy.
      # pylint: disable=protected-access
      return jax.tree_map(lambda x: x._numpy(), xs)
  
imports: import abc
  import functools
  import itertools
  from typing import Any, Iterable, Optional, Sequence, Union
  from absl import logging
  from flax import jax_utils
  import jax
  import numpy
  import tensorflow
  from nerfies import camera
  from nerfies import gpath
  from nerfies import image_utils
  from nerfies import tf_camera
  from nerfies import utils
  from tensorflow.python.data.util import nest
label_desc: Use image node_id 4 for calling a global function with example usage: prepare_tf_data_unbatched(xs) and returns: jax