code: def test_negative_mises_fisher_weights(self, seed=0):
      torch.manual_seed(seed)
      out0 = torch.rand((3, 5))
      out1 = torch.rand((3, 5))
      for sigma in [0.0000001, 0.5, 10000]:
          with self.subTest(sigma=sigma):
              negative_mises_fisher_weights(out0, out1, sigma)
  
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 1 for calling the TestDCLUnitTest obj's underlying member method code with example usage: obj.test_negative_mises_fisher_weights(seed) without return types