code: def _fibonacci_stackless_execute(inputs, backend):
      prog = test_programs.fibonacci_function_calls()
      alloc = allocation_strategy.optimize(prog)
      return stackless.execute(alloc, backend, None, inputs)
  
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 1 for calling a global function with example usage: _fibonacci_stackless_execute(inputs, backend) and returns: stackless