code: def test_dclloss_forward(self, seed=0):
      torch.manual_seed(seed=seed)
      for batch_size in [2, 3]:
          for dim in [1, 3]:
              out0 = torch.rand((batch_size, dim))
              out1 = torch.rand((batch_size, dim))
              for temperature in [0.1, 0.5, 1.0]:
                  for gather_distributed in [False, True]:
                      for weight_fn in [
                          None,
                          negative_mises_fisher_weights,
                      ]:
                          with self.subTest(
                              batch_size=batch_size,
                              dim=dim,
                              temperature=temperature,
                              gather_distributed=gather_distributed,
                              weight_fn=weight_fn,
                          ):
                              criterion = DCLLoss(
                                  temperature=temperature,
                                  gather_distributed=gather_distributed,
                                  weight_fn=weight_fn,
                              )
                              loss0 = criterion(out0, out1)
                              loss1 = criterion(out1, out0)
                              self.assertGreater(loss0, 0)
                              self.assertAlmostEqual(loss0, loss1)
  
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 2 for calling the TestDCLUnitTest obj's underlying member method code with example usage: obj.test_dclloss_forward(seed) without return types