code: def test_torchvision_models_trace():
      for m in tm_models:
          model = m()
          data = torch.rand(1000, 3, 224, 224, device="meta")
          meta_trace(model, torch.device("cpu"), data)
  
file_path: colossalai/tests/test_fx/test_meta/test_meta_trace.py
imports: import pytest
  import timm.models
  import torch
  import torchvision.models
  from colossalai.fx._compatibility import is_compatible_with_meta
  from colossalai.testing import clear_cache_before_run
label_desc: Use image node_id 1 for calling a global function with example usage: test_torchvision_models_trace() without return types