code: def iter_model_names(self, args):
      # for model_name in list_models(pretrained=True, exclude_filters=["*in21k"]):
      model_names = sorted(TIMM_MODELS.keys())
      start, end = self.get_benchmark_indices(len(model_names))
      for index, model_name in enumerate(model_names):
          if index < start or index >= end:
              continue
          if (
              not re.search("|".join(args.filter), model_name, re.I)
              or re.search("|".join(args.exclude), model_name, re.I)
              or model_name in args.exclude_exact
              or model_name in self.skip_models
          ):
              continue
  
          yield model_name
  
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 7 for calling the TimmRunner obj's underlying member method code with example usage: obj.iter_model_names(args) without return types