code: def testSlice(self):
      for dtype in self.numeric_types:
          self._testTernary(
              array_ops.slice,
              np.array([[], [], []], dtype=dtype),
              np.array([1, 0], dtype=np.int32),
              np.array([2, 0], dtype=np.int32),
              expected=np.array([[], []], dtype=dtype),
          )
  
          self._testTernary(
              array_ops.slice,
              np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype=dtype),
              np.array([0, 1], dtype=np.int32),
              np.array([2, 1], dtype=np.int32),
              expected=np.array([[2], [5]], dtype=dtype),
          )
  
imports: from absl.testing import parameterized
  import numpy
  import scipy.special
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 6 for calling the TernaryOpsTest obj's underlying member method code with example usage: obj.testSlice() without return types