code: def test_issue103481(self):
      def fn(x, y):
          # NOTE: 6 dimensions is important! does not fail for 5 dimensions
          mean = torch.mean(x, [2, 3, 4, 5], keepdim=True)
          add = mean + y
          return add
  
      x = torch.rand(4, 4, 4, 4, 4, 4, device="cuda")
      y = torch.rand((), device="cuda")
      expect = fn(x, y)
  
      opt_fn = torch.compile(fn)
      actual = opt_fn(x, y)
  
      self.assertEqual(expect, actual)
  
imports: import math
  import sys
  import unittest
  import torch
  import torch._dynamo.config
  import torch.backends.cuda
  import torch.nn.functional
  from torch import nn
  from torch._dynamo.debug_utils import same_two_models
  from torch._dynamo.testing import rand_strided
  from torch._dynamo.utils import same
  from torch._inductor import config
  from torch._inductor.compile_fx import compile_fx_inner
  from torch.fx.experimental.proxy_tensor import make_fx
  from torch.testing._internal.common_cuda import PLATFORM_SUPPORTS_FLASH_ATTENTION
  from torch.testing._internal.common_utils import DeterministicGuard, freeze_rng_state, IS_FBCODE, skipIfRocm, TEST_WITH_ASAN
label_desc: Use image node_id 35 for calling the CudaReproTests obj's underlying member method code with example usage: obj.test_issue103481() and returns: add