code: def test_grad_mode_guard(self):
      def fn(a, b):
          prev_grad = torch.is_grad_enabled()
          torch.set_grad_enabled(False)
          a = a + 1
          a.tolist()  # graph break
          ret = a + b
          torch.set_grad_enabled(prev_grad)
          return ret
  
      a = torch.randn([3, 4])
      b = torch.randn([3, 4])
      cnts = torch._dynamo.testing.CompileCounter()
      opt_fn = torch._dynamo.optimize(cnts)(fn)
      for _ in range(10):
          opt_fn(a, b)
      self.assertEqual(cnts.frame_count, 2)
  
imports: import unittest
  import torch
  import torch._dynamo.test_case
  import torch._dynamo.testing
  import torch.onnx.operators
  from torch._dynamo.testing import EagerAndRecordGraphs, normalize_gm, same
  from torch.nn import functional
  from torch.testing._internal.common_cuda import PLATFORM_SUPPORTS_FLASH_ATTENTION
  from torch.testing._internal.common_utils import TEST_WITH_ROCM
label_desc: Use image node_id 2 for calling the CtxManagerTests obj's underlying member method code with example usage: obj.test_grad_mode_guard() and returns: ret