code: def testBadSplitSizes(self):
      x = constant_op.constant([1, 2], dtypes.float32)
      with self.assertRaisesRegex(
          (ValueError, errors_impl.InvalidArgumentError),
          "Determined shape must either match input"
          "|can't split axis",
      ):
          splits = [1, 2]
          self.evaluate(array_ops.split(x, splits, axis=0))
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 28 for calling the SplitOpTest obj's underlying member method code with example usage: obj.testBadSplitSizes() without return types