code: def test_dclloss_backprop(self, seed=0):
      torch.manual_seed(seed=seed)
      out0 = torch.rand(3, 5)
      out1 = torch.rand(3, 5)
      layer = torch.nn.Linear(5, 5)
      out0 = layer(out0)
      out1 = layer(out1)
      criterion = DCLLoss()
      optimizer = torch.optim.SGD(layer.parameters(), lr=0.1)
      loss = criterion(out0, out1)
      loss.backward()
      optimizer.step()
  
file_path: lightly/tests/loss/test_DCLLoss.py
imports: import unittest
  from unittest.mock import patch
  import pytest
  import torch
  from pytest_mock import MockerFixture
  from torch import distributed
  from lightly.loss.dcl_loss import DCLLoss, DCLWLoss, negative_mises_fisher_weights
label_desc: Use image node_id 3 for calling the TestDCLUnitTest obj's underlying member method code with example usage: obj.test_dclloss_backprop(seed) without return types