code: def test_unspec_inputs_interop(self):
      class Repro(torch.nn.Module):
          def forward(self, x, y):
              unsqueeze = torch.ops.aten.unsqueeze.default(x, 4)
              permute = torch.ops.aten.permute.default(
                  unsqueeze, [0, 1, 2, 4, 3]
              )
              add = torch.ops.aten.add.Tensor(y, 1)
              return [permute, add]
  
      inps = [
          rand_strided(
              (12, 3, 512, 64),
              (64, 196608, 768, 1),
              torch.float32,
              "cuda",
          ),
          rand_strided((), (), torch.int64, "cpu"),
      ]
      mod = make_fx(Repro().to(device="cuda"))(*inps)
      compiled = compile_fx_inner(mod, inps)
      compiled(inps)
  
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 3 for calling the CudaReproTests obj's underlying member method code with example usage: obj.test_unspec_inputs_interop() and returns: list