code: def testEmpty(self):
      # Note: np.split returns a rank-0 empty ndarray
      # if the input ndarray is empty.
      for dtype in _TEST_DTYPES:
          inp = self._makeData((8, 0, 21), dtype)
          self._testEmpty(inp, 0, 2, (4, 0, 21))
          self._testEmpty(inp, 0, 4, (2, 0, 21))
          self._testEmpty(inp, 1, 4, (8, 0, 21))
          self._testEmpty(inp, 2, 3, (8, 0, 7))
          self._testEmpty(inp, 2, 7, (8, 0, 3))
  
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 17 for calling the SplitOpTest obj's underlying member method code with example usage: obj.testEmpty() without return types