code: def test_torch_profiler(self):
      # wrap torch.profiler.* as NullContextVariable and do nothing
      def fn(x):
          y = x**2
          with torch.profiler.profile():
              y = y + 2
              with torch.profiler.record_function("my_function"):
                  z = y**3
                  z.tolist()  # graph break
                  z = z + 1
          return z
  
      x = torch.randn((2, 2), requires_grad=True)
      ref = fn(x)
      cnts = torch._dynamo.testing.CompileCounter()
      opt_fn = torch._dynamo.optimize(cnts)(fn)
      res = opt_fn(x)
      self.assertTrue(same(ref, res))
      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 4 for calling the CtxManagerTests obj's underlying member method code with example usage: obj.test_torch_profiler() and returns: z