code: def test_tvmscript_torch_gpu():
      cuda0 = torch.device("cuda:0")
      q1 = torch.arange(8, device=cuda0).type(torch.float32)
      q2 = torch.zeros((8,), dtype=torch.float32, device=cuda0)
  
      with tempfile.NamedTemporaryFile(suffix=".pt") as tmp:
          torch.save(ModuleGPU, tmp.name)
          loaded_mod = torch.load(tmp.name)
          loaded_mod(q1, q2)
  
      tvm.testing.assert_allclose(
          q2.cpu().numpy(), (q1 + 1).cpu().numpy(), atol=1e-5, rtol=1e-5
      )
  
imports: import tempfile
  import numpy
  import torch
  import torch.nn
  import tvm
  from tvm.target.target import Target
  import tvm.testing
  from tvm.contrib.torch import as_torch
  from tvm.script import tir
label_desc: Use image node_id 7 for calling a global function with example usage: test_tvmscript_torch_gpu() without return types