code: def _get_expected_file(name=None):
      # Determine expected file based on environment
      expected_file_base = get_relative_path(
          os.path.realpath(__file__), "expect"
      )
  
      # Note: for legacy reasons, the reference file names all had "ModelTest.test_" in their names
      # We hardcode it here to avoid having to re-generate the reference files
      expected_file = os.path.join(
          expected_file_base, "ModelTester.test_" + name
      )
      expected_file += "_expect.pkl"
  
      if not ACCEPT and not os.path.exists(expected_file):
          raise RuntimeError(
              f"No expect file exists for {os.path.basename(expected_file)} in {expected_file}; "
              "to accept the current output, re-run the failing test after setting the EXPECTTEST_ACCEPT "
              "env variable. For example: EXPECTTEST_ACCEPT=1 pytest test/test_models.py -k alexnet"
          )
  
      return expected_file
  
imports: import contextlib
  import functools
  import operator
  import os
  import pkgutil
  import platform
  import sys
  import warnings
  from collections import OrderedDict
  from tempfile import TemporaryDirectory
  from typing import Any
  import pytest
  import torch
  import torch.fx
  import torch.nn
  from _utils_internal import get_relative_path
  from common_utils import cpu_and_cuda, freeze_rng_state, map_nested_tensor_object, needs_cuda, set_rng_seed
  from PIL import Image
  from torchvision import models, transforms
  from torchvision.models import get_model_builder, list_models
label_desc: Use image node_id 4 for calling a global function with example usage: _get_expected_file(name) and returns: expected_file