code: def test_with_cuda(self):
      loss = AsymmetricUnifiedFocalLoss()
      i = torch.tensor([[[[1.0, 0], [0, 1.0]]], [[[1.0, 0], [0, 1.0]]]])
      j = torch.tensor([[[[1.0, 0], [0, 1.0]]], [[[1.0, 0], [0, 1.0]]]])
      if torch.cuda.is_available():
          i = i.cuda()
          j = j.cuda()
      output = loss(i, j)
      print(output)
      np.testing.assert_allclose(
          output.detach().cpu().numpy(), 0.0, atol=1e-4, rtol=1e-4
      )
  
file_path: MONAI/tests/test_unified_focal_loss.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.losses import AsymmetricUnifiedFocalLoss
label_desc: Use image node_id 3 for calling the TestAsymmetricUnifiedFocalLoss obj's underlying member method code with example usage: obj.test_with_cuda() without return types