code: def test_full_copy(self):
      def forward(x):
          full_10 = torch.ops.aten.full.default(
              [204, 204, 28],
              0,
              dtype=torch.float64,
              layout=torch.strided,
              device="cuda",
              pin_memory=False,
          )
          return x + full_10.to("cpu")
  
      o = torch.randn([204, 204, 28], dtype=torch.float64)
      correct = forward(o)
      actual = torch.compile(forward, fullgraph=True)(o)
      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 15 for calling the CudaReproTests obj's underlying member method code with example usage: obj.test_full_copy() and returns: unknown