code: def skip_accuracy_check_as_eager_non_deterministic(self):
      if self.args.accuracy and self.args.training:
          return SKIP_ACCURACY_CHECK_AS_EAGER_NON_DETERMINISTIC_MODELS
      return set()
  
imports: import importlib
  import logging
  import os
  import re
  import subprocess
  import sys
  import warnings
  import torch
  from common import BenchmarkRunner, download_retry_decorator, main
  from torch._dynamo.testing import collect_results, reduce_to_scalar_loss
  from torch._dynamo.utils import clone_inputs
label_desc: Use image node_id 4 for calling the TimmRunner obj's underlying member method code with example usage: obj.skip_accuracy_check_as_eager_non_deterministic() and returns: set, SKIP_ACCURACY_CHECK_AS_EAGER_NON_DETERMINISTIC_MODELS