code: def testListOfScalarTensors(self):
      a = math_ops.cast(5, dtypes.int32)
      b = math_ops.cast(6, dtypes.int32)
  
      value = np.random.rand(11, 11)
  
      with test_util.device(use_gpu=True):
          result = self.evaluate(array_ops.split(value, [a, b]))
  
      self.assertAllEqual(result[0], value[0:5, :])
      self.assertAllEqual(result[1], value[5:, :])
  
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 5 for calling the SplitOpTest obj's underlying member method code with example usage: obj.testListOfScalarTensors() without return types