code: def testStacklessIsEvenTF(self):
      self.assertAllEqual(
          [True],
          self.evaluate(_is_even_stackless_execute([0], TF_BACKEND)),
      )
      self.assertAllEqual(
          [False],
          self.evaluate(_is_even_stackless_execute([1], TF_BACKEND)),
      )
      self.assertAllEqual(
          [True],
          self.evaluate(_is_even_stackless_execute([2], TF_BACKEND)),
      )
      self.assertAllEqual(
          [False, True, True, False, True],
          self.evaluate(
              _is_even_stackless_execute([5, 6, 8, 9, 0], TF_BACKEND)
          ),
      )
  
file_path: probability/tensorflow_probability/python/experimental/auto_batching/stackless_test.py
imports: import tensorflow.compat.v1
  from tensorflow_probability.python.experimental.auto_batching import allocation_strategy
  from tensorflow_probability.python.experimental.auto_batching import numpy_backend
  from tensorflow_probability.python.experimental.auto_batching import stackless
  from tensorflow_probability.python.experimental.auto_batching import test_programs
  from tensorflow_probability.python.experimental.auto_batching import tf_backend
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the StacklessTest obj's underlying member method code with example usage: obj.testStacklessIsEvenTF() without return types