code: def test_with_cuda(self):
      loss = BoxGIoULoss()
      i = torch.tensor([[1.0, 1.0, 2.0, 2.0]])
      j = torch.tensor([[1.0, 1.0, 2.0, 2.0]])
      if torch.cuda.is_available():
          i = i.cuda()
          j = j.cuda()
      output = loss(i, j)
      np.testing.assert_allclose(
          output.detach().cpu().numpy(), 0.0, atol=1e-4, rtol=1e-4
      )
  
file_path: MONAI/tests/test_giou_loss.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.losses import BoxGIoULoss
label_desc: Use image node_id 3 for calling the TestGIoULoss obj's underlying member method code with example usage: obj.test_with_cuda() without return types