code: def test_smoke(self, device, dtype):
      input = torch.rand(3, 3, 2, device=device, dtype=dtype)
      target = torch.rand(3, 3, 2, device=device, dtype=dtype)
  
      criterion = kornia.metrics.AEPE()
      assert criterion(input, target) is not None
  
imports: import pytest
  import torch
  import kornia
  from kornia.testing import BaseTester, assert_close, tensor_to_gradcheck_var
label_desc: Use image node_id 7 for calling the TestAepe obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types