code: def testFibonacciTF(self):
      batch_fibo = frontend.Context().batch_uncurried(
          fibonacci, lambda *args: instructions.TensorType(np.int64, ())
      )
      input_2 = self._build_tensor(np.array([6, 7, 8], dtype=np.int64))
      answer = batch_fibo(
          input_2, max_stack_depth=15, backend=TF_BACKEND
      )
      self._check_batch_size(answer, 3)
      self.assertAllEqual([13, 21, 34], self.evaluate(answer))
  
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 _TestHidingTFBatchSize obj's underlying member method code with example usage: obj.testFibonacciTF() without return types