code: def _raise_error(tensor_names, batch_shapes):
      formatted_list = [
          (name, batch_shape)
          for name, batch_shape in zip(tensor_names, batch_shapes)
      ]
      raise ValueError(
          "Not all batch dimensions are identical: {}".format(
              formatted_list
          )
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  from typing import Any, List, Optional, Tuple, Union
  import numpy
  import six
  from six.moves import range
  from six.moves import zip
  import tensorflow
label_desc: Use image node_id 13 for calling a global function with example usage: _raise_error(tensor_names, batch_shapes) without return types