code: def testDegenerateVariable(self):
      inp = np.random.rand(4, 4).astype("f")
      with test_util.device(use_gpu=True):
          result = self.evaluate(array_ops.split(inp, [-1, 4], 0))
          self.assertAllEqual(result[0], inp[0:0, :])
          self.assertAllEqual(result[1], inp[0:4, :])
  
          result = self.evaluate(array_ops.split(inp, [4, -1], 0))
          self.assertAllEqual(result[0], inp[0:4, :])
          self.assertAllEqual(result[1], inp[4:4, :])
  
          result = self.evaluate(array_ops.split(inp, [-1, 4], 1))
          self.assertAllEqual(result[0], inp[:, 0:0])
          self.assertAllEqual(result[1], inp[:, 0:4])
  
          result = self.evaluate(array_ops.split(inp, [4, -1], 1))
          self.assertAllEqual(result[0], inp[:, 0:4])
          self.assertAllEqual(result[1], inp[:, 4:4])
  
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 10 for calling the SplitOpTest obj's underlying member method code with example usage: obj.testDegenerateVariable() without return types