code: def smoke_test_compile() -> None:
      try:
          model = resnet50().cuda()
          model = torch.compile(model)
          x = torch.randn(1, 3, 224, 224, device="cuda")
          out = model(x)
          print(f"torch.compile model output: {out.shape}")
      except RuntimeError:
          if sys.platform == "win32":
              print(
                  "Successfully caught torch.compile RuntimeError on win"
              )
          else:
              raise
  
file_path: vision/test/smoke_test.py
imports: import sys
  from pathlib import Path
  import torch
  import torchvision
  from torchvision.io import decode_jpeg, read_file, read_image
  from torchvision.models import resnet50, ResNet50_Weights
label_desc: Use image node_id 4 for calling a global function with example usage: smoke_test_compile() without return types