code: def test_rng_op(self):
      @torch.compile()
      def foo():
          return torch.rand([4, 4], device=self.device) + 1
  
      with torch.no_grad():
          o1 = foo()
          o2 = foo()
          self.assertNotEqual(o1, o2)
  
imports: import contextlib
  import functools
  import importlib
  import itertools
  import os
  import sys
  import unittest
  import weakref
  import torch
  from torch import nn
  from torch._inductor import config
  from torch._inductor.utils import override_lowering, run_and_get_code
  from torch.testing import FileCheck
  from torch.testing._internal.common_cuda import SM80OrLater
  from torch.testing._internal.common_utils import IS_CI, IS_WINDOWS, TEST_WITH_ASAN, TEST_WITH_ROCM, TestCase
  from inductor.test_torchinductor import check_model, check_model_cuda, copy_tests
  from torch.testing._internal.inductor_utils import HAS_CPU, HAS_CUDA
label_desc: Use image node_id 6 for calling the OptimizeForInferenceTemplate obj's underlying member method code with example usage: obj.test_rng_op() and returns: unknown