code: def _fibonacci_execute(inputs, backend):
      with tf.compat.v2.name_scope("fibonacci_program"):
          return vm.execute(
              test_programs.fibonacci_program(),
              [inputs],
              max_stack_depth=15,
              backend=backend,
          )
  
imports: import functools
  from absl import flags
  import numpy
  import tensorflow.compat.v1
  from tensorflow_probability.python.experimental.auto_batching import numpy_backend
  from tensorflow_probability.python.experimental.auto_batching import test_programs
  from tensorflow_probability.python.experimental.auto_batching import tf_backend
  from tensorflow_probability.python.experimental.auto_batching import virtual_machine
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling a global function with example usage: _fibonacci_execute(inputs, backend) and returns: vm