code: def test_compile_decorator(self):
      @torch.compile
      def foo(x):
          return torch.sin(x) + x.min()
  
      @torch.compile(mode="reduce-overhead")
      def bar(x):
          return x * x
  
      for _ in range(3):
          foo(torch.full((3, 4), 0.7, device="cuda"))
          bar(torch.rand((2, 2), device="cuda"))
  
file_path: pytorch/test/inductor/test_smoke.py
imports: import logging
  import unittest
  import torch
  import torch._logging
  from torch.testing._internal.common_utils import IS_LINUX, TestCase
  from torch.testing._internal.inductor_utils import HAS_CUDA
label_desc: Use image node_id 2 for calling the SmokeTest obj's underlying member method code with example usage: obj.test_compile_decorator() and returns: unknown, unknown