code: def inference_result(outputs):
      """Set the expected results of an Ethos inference, if the testing
      infrastructure is available. This assumes that the entire graph
      was offloaded to the neural processor."""
      if tvm.get_global_func(
          "relay.ethos-n.test.infra.inference_result", True
      ):
          return _infrastructure.inference_result(*outputs)
      return False
  
imports: from __future__ import absolute_import, print_function
  from hashlib import md5
  from itertools import zip_longest, combinations
  import os
  from typing import Tuple
  import math
  import numpy
  from PIL import Image
  import tvm
  from tvm import relay
  from tvm.contrib import utils, graph_executor, download
  from tvm.relay.op.contrib import partition_for_ethosn
  from tvm.driver.tvmc.target import parse_target
  from .None import _infrastructure
label_desc: Use image node_id 11 for calling a global function with example usage: inference_result(outputs) and returns: False, _infrastructure