code: def _assert_splits_match(nested_splits_lists):
      """Checks that the given splits lists are identical.
  
      Performs static tests to ensure that the given splits lists are identical,
      and returns a list of control dependency op tensors that check that they are
      fully identical.
  
      Args:
        nested_splits_lists: A list of nested_splits_lists, where each split_list is
          a list of `splits` tensors from a `RaggedTensor`, ordered from outermost
          ragged dimension to innermost ragged dimension.
  
      Returns:
        A list of control dependency op tensors.
      Raises:
        ValueError: If the splits are not identical.
      """
      error_msg = "Inputs must have identical ragged splits"
      for splits_list in nested_splits_lists:
          if len(splits_list) != len(nested_splits_lists[0]):
              raise ValueError(error_msg)
      return [
          check_ops.assert_equal(
              s1, s2, message=error_msg
          )  # pylint: disable=g-complex-comprehension
          for splits_list in nested_splits_lists[1:]
          for (s1, s2) in zip(nested_splits_lists[0], splits_list)
      ]
  
imports: from enum import Enum
  import functools
  import weakref
  import numpy
  from tensorflow.python.compat import compat
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_conversion
  from tensorflow.python.keras import backend
  from tensorflow.python.keras.utils import losses_utils
  from tensorflow.python.keras.utils import tf_utils
  from tensorflow.python.keras.utils.generic_utils import to_list
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops import weights_broadcast_ops
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.util import tf_decorator
label_desc: Use image node_id 11 for calling a global function with example usage: _assert_splits_match(nested_splits_lists) and returns: unknown