code: def _graph_break_inlining_autocast_test_helper(self, device):
      def gn(x, y):
          with torch.autocast(device_type=device, dtype=torch.bfloat16):
              z = torch.mm(x, y)
              torch._dynamo.graph_break()
              return torch.sin(z)
  
      def fn(x, y):
          z = torch.mm(x, y)
          z = z + gn(x, y)
          return z
  
      x = torch.rand(3, 3).to(device)
      y = torch.rand(3, 3).to(device)
      opt_fn = torch.compile(backend="eager")(fn)
      ref = fn(x, y)
      res = opt_fn(x, y)
      self.assertEqual(ref, res)
  
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 30 for calling the CtxManagerTests obj's underlying member method code with example usage: obj._graph_break_inlining_autocast_test_helper(device) and returns: z, torch