code: def test_is_autocast_cpu_enabled(self):
      def fn(a_float32, b_float32):
          with torch.cpu.amp.autocast(dtype=torch.bfloat16):
              c_float16 = torch.mm(a_float32, b_float32)
              if torch.is_autocast_cpu_enabled():
                  c_float16 = c_float16 + 1
          return c_float16
  
      a = torch.rand((8, 8))
      b = torch.rand((8, 8))
      ref = fn(a, b)
      opt_fn = torch._dynamo.optimize("eager", nopython=True)(fn)
      res = opt_fn(a, b)
      self.assertTrue(same(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 14 for calling the CtxManagerTests obj's underlying member method code with example usage: obj.test_is_autocast_cpu_enabled() and returns: c_float16