code: def unbatch_nested_tensors_to_arrays(nested_tensors):
      def _to_unbatched_numpy(tensor):
          return np.squeeze(tensor.numpy(), 0)
  
      return tf.nest.map_structure(_to_unbatched_numpy, nested_tensors)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import numbers
  from typing import Optional, Text
  from absl import logging
  import numpy
  from six.moves import zip
  import tensorflow
  from tf_agents.typing import types
  from tf_agents.utils import composite
  import wrapt
  from tensorflow.python.util import nest
label_desc: Use image node_id 26 for calling a global function with example usage: unbatch_nested_tensors_to_arrays(nested_tensors) and returns: tf, np