code: def testDimNotEvenlySplit(self, graph_fn):
      for dtype in self.numeric_types:
          with self.session() as sess, self.device_scope():
              split = graph_fn(
                  sess,
                  input_value=[[0, 1], [2, 3], [4, 5], [6, 7]],
                  input_dtype=dtype,
                  num_outputs=6,
                  num_splits=[3, 2],
              )
              with self.assertRaisesOpError(
                  "divisible by 'num_splits' 3"
              ):
                  sess.run(split)
  
imports: from typing import Any, List, Optional
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.client.session import Session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework.ops import control_dependencies
  from tensorflow.python.framework.ops import Tensor
  from tensorflow.python.ops import gen_tpu_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the XlaSplitNDOpTest obj's underlying member method code with example usage: obj.testDimNotEvenlySplit(graph_fn) without return types