code: def test_forward__cuda(self) -> None:
      torch.manual_seed(0)
      criterion = VICRegLLoss()
      global_view_features = [
          (
              torch.randn((2, 32)).cuda(),
              torch.randn((2, 7, 7, 8)).cuda(),
          )
          for _ in range(2)
      ]
      global_view_grids = [
          torch.randn((2, 7, 7, 2)).cuda() for _ in range(2)
      ]
      local_view_features = [
          (
              torch.randn((2, 32)).cuda(),
              torch.randn((2, 4, 4, 8)).cuda(),
          )
          for _ in range(6)
      ]
      local_view_grids = [
          torch.randn((2, 4, 4, 2)).cuda() for _ in range(6)
      ]
      loss = criterion.forward(
          global_view_features=global_view_features,
          global_view_grids=global_view_grids,
          local_view_features=local_view_features,
          local_view_grids=local_view_grids,
      )
      assert loss > 0
  
file_path: lightly/tests/loss/test_VICRegLLoss.py
imports: import unittest
  from typing import List
  import numpy
  import torch
  import torch.nn.functional
  from torch import Tensor
  from lightly.loss import VICRegLLoss
label_desc: Use image node_id 2 for calling the TestVICRegLLoss obj's underlying member method code with example usage: obj.test_forward__cuda() without return types