code: def _testEmpty(self, x, dim, num, expected_shape):
      with test_util.device(use_gpu=True):
          tf_ans = array_ops.split(
              value=x, num_or_size_splits=num, axis=dim
          )
          out = self.evaluate(tf_ans)
      self.assertEqual(x.size, 0)
      self.assertEqual(len(out), num)
      for i in range(num):
          self.assertEqual(out[i].shape, expected_shape)
          self.assertEqual(expected_shape, tf_ans[i].get_shape())
  
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 16 for calling the SplitOpTest obj's underlying member method code with example usage: obj._testEmpty(x, dim, num, expected_shape) without return types