code: def _is_even_lowered_execute(inputs, backend):
      prog = test_programs.is_even_function_calls()
      alloc = allocation_strategy.optimize(prog)
      lowered = lowering.lower_function_calls(alloc)
      return list(
          vm.execute(
              lowered,
              [inputs],
              max_stack_depth=int(max(inputs)) + 3,
              backend=backend,
          )
      )
  
file_path: probability/tensorflow_probability/python/experimental/auto_batching/lowering_test.py
imports: from tensorflow_probability.python.experimental.auto_batching import allocation_strategy
  from tensorflow_probability.python.experimental.auto_batching import lowering
  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 virtual_machine
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 2 for calling a global function with example usage: _is_even_lowered_execute(inputs, backend) and returns: list