code: def test_issue103461(self):
      def forward(add_1):
          var_mean = torch.ops.aten.var_mean.correction(
              add_1, [2], correction=0, keepdim=True
          )
          getitem_1 = var_mean[1]
          return getitem_1
  
      x = torch.randn(1, 8, 768, device="cuda")
      correct = forward(x)
      actual = torch.compile(forward, fullgraph=True)(x)
      self.assertEqual(actual, correct)
  
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 14 for calling the CudaReproTests obj's underlying member method code with example usage: obj.test_issue103461() and returns: getitem_1