code: def test_forward__compare_vicregl(self) -> None:
      # Compare against implementation in VICRegL.
      # Note: nu_param is set to 0.5 because our loss implementation follows the
      # original VICReg implementation and there is a slight difference between the
      # implementations in VICReg and VICRegL.
      loss = VICRegLoss(nu_param=0.5)
      x0 = torch.randn((2, 10, 32))
      x1 = torch.randn((2, 10, 32))
      assert (
          loss(x0, x1).item()
          == _reference_vicregl_vicreg_loss(x0, x1).item()
      )
  
imports: import unittest
  import pytest
  import torch
  import torch.nn.functional
  from pytest_mock import MockerFixture
  from torch import Tensor
  from torch import distributed
  from lightly.loss import VICRegLoss
label_desc: Use image node_id 6 for calling the TestVICRegLossUnitTest obj's underlying member method code with example usage: obj.test_forward__compare_vicregl() without return types