code: def _testSpecialCasesVariable(self):
      inp = np.random.rand(4, 4).astype("f")
  
      with test_util.device(use_gpu=True):
          result = self.evaluate(array_ops.split(inp, [4], 0))
          self.assertAllEqual(result[0], inp)
  
          result = self.evaluate(array_ops.split(inp, [-1, 3], 0))
          self.assertAllEqual(result[0], inp[0:1, :])
          self.assertAllEqual(result[1], inp[1:4, :])
  
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 7 for calling the SplitOpTest obj's underlying member method code with example usage: obj._testSpecialCasesVariable() without return types