code: def test_cuda_event_method(self):
      def fn(x):
          x = torch.mul(x, 1)
          x = torch.add(x, 2)
  
          cur_stream = torch.cuda.current_stream()
          new_stream = torch.cuda.Stream()
  
          x = torch.add(x, 3)
  
          event = cur_stream.record_event()
          is_idle = event.query()
  
          new_stream.wait_event(event)
          with torch.cuda.stream(new_stream):
              x = torch.add(x, 4)
  
          new_event = torch.cuda.Event()
          new_event.record(new_stream)
  
          x = torch.add(x, 5)
          new_event.wait(cur_stream)
  
          # use new event to sync
          new_event.synchronize()
  
          x = torch.relu(x)
          x = torch.cos(x)
          return x
  
      x = torch.randn((2, 2), device="cuda")
      ref = fn(x)
      cnts = torch._dynamo.testing.CompileCounter()
      opt_fn = torch._dynamo.optimize(cnts, nopython=True)(fn)
      res = opt_fn(x)
      self.assertTrue(same(ref, res))
      self.assertEqual(cnts.frame_count, 1)
      self.assertEqual(cnts.op_count, 19)
  
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 10 for calling the CtxManagerTests obj's underlying member method code with example usage: obj.test_cuda_event_method() and returns: x