code: def get_tolerance_and_cosine_flag(
      self, is_training, current_device, name
  ):
      cosine = self.args.cosine
      tolerance = 1e-3
      if is_training:
          if name in REQUIRE_HIGHER_TOLERANCE:
              tolerance = 4 * 1e-2
          else:
              tolerance = 1e-2
      return tolerance, cosine
  
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 9 for calling the TimmRunner obj's underlying member method code with example usage: obj.get_tolerance_and_cosine_flag(is_training, current_device, name) and returns: tolerance,  cosine