code: def test_autocast_cpu_graph_break_2(self):
      # Regression for: https://github.com/pytorch/pytorch/issues/93890
      def fn(x):
          with torch.autocast(device_type="cpu", dtype=torch.bfloat16):
              x = torch.mm(x, x)
              torch._dynamo.graph_break()
              x = torch.relu(x)
          return x
  
      x = torch.rand([4, 4])
      self.assertEqual(x.dtype, torch.float32)
      res = fn(x)
      opt_fn = torch._dynamo.optimize("eager")(fn)
      opt_res = opt_fn(x)
      self.assertTrue(torch.allclose(res, opt_res))
      self.assertEqual(res.dtype, torch.bfloat16)
      self.assertEqual(opt_res.dtype, torch.bfloat16)
  
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 18 for calling the CtxManagerTests obj's underlying member method code with example usage: obj.test_autocast_cpu_graph_break_2() and returns: x