code: def testFibonacciNumpyStackless(self):
      if not tf.executing_eagerly():
          return
      batch_fibo = frontend.Context().batch_uncurried(
          fibonacci, lambda *args: instructions.TensorType(np.int64, ())
      )
      self.assertEqual(
          [3, 21, 5, 8],
          list(
              batch_fibo(
                  np.array([3, 7, 4, 5], dtype=np.int64),
                  max_stack_depth=15,
                  backend=NP_BACKEND,
                  stackless=True,
              )
          ),
      )
  
imports: import collections
  from absl import logging
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.auto_batching import frontend
  from tensorflow_probability.python.experimental.auto_batching import instructions
  from tensorflow_probability.python.experimental.auto_batching import numpy_backend
  from tensorflow_probability.python.experimental.auto_batching import tf_backend
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the AutoGraphFrontendTest obj's underlying member method code with example usage: obj.testFibonacciNumpyStackless() without return types