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)
          for splits_list in nested_splits_lists[1:]
          for (s1, s2) in zip(nested_splits_lists[0], splits_list)
      ]
  
imports: from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_ragged_math_ops
  from tensorflow.python.ops import math_ops
label_desc: Use image node_id 1 for calling a global function with example usage: assert_splits_match(nested_splits_lists) and returns: unknown