code: def tf_to_numpy(batch):
      """Convert an input batch from tf Tensors to numpy arrays.
  
      Args:
        batch: dict; A dictionary that has items in a batch: image and labels.
  
      Returns:
        Numpy arrays of the given tf Tensors.
      """
      # Use _numpy() for zero-copy conversion between TF and NumPy.
      convert_data = (
          lambda x: x._numpy()
      )  # pylint: disable=protected-access
      return jax.tree_util.tree_map(convert_data, batch)
  
imports: import collections
  import dataclasses
  import functools
  import itertools
  from typing import Any, Callable, Dict, Iterator, Optional, Sequence, Union
  from absl import logging
  from flax.training import common_utils
  import jax
  import jax.numpy
  import numpy
  import tensorflow
  import tensorflow_datasets
label_desc: Use image node_id 6 for calling a global function with example usage: tf_to_numpy(batch) and returns: jax