code: def test_dtype_factory_issue(self):
      def forward():
          randn = torch.ops.aten.randn.default(
              [12, 64, 1, 64],
              dtype=torch.float32,
              device=torch.device(type="cuda", index=0),
              pin_memory=False,
          )
          unsqueeze_default_2 = torch.ops.aten.unsqueeze.default(
              randn, -1
          )
          return (unsqueeze_default_2,)
  
      mod = make_fx(forward)()
      compiled = compile_fx_inner(mod, ())
      assert compiled([])[0].device.type == "cuda"
  
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 5 for calling the CudaReproTests obj's underlying member method code with example usage: obj.test_dtype_factory_issue() and returns: unsqueeze_default_2