code: def test_bce_kl_loss(self):
      combined_loss = losses.BCEAndKLLoss(0.5)
  
      # Test random tensor but the same targets and scores
      torch.manual_seed(1234)
      random_tensor = torch.rand((1, 768))
      sample_list = {"targets": random_tensor}
      model_output = {"scores": random_tensor}
      loss_result = combined_loss(sample_list, model_output)
      self.assertAlmostEqual(loss_result["bce"].item(), 504.22253418, 4)
      self.assertAlmostEqual(loss_result["kl"].item(), 0.031847, 4)
  
imports: import collections
  import unittest
  from unittest.mock import MagicMock
  import mmf.modules.losses
  import torch
  import torch.nn
  import torch.nn.functional
  from mmf.common.registry import registry
  from mmf.common.sample import SampleList
label_desc: Use image node_id 9 for calling the TestModuleLosses obj's underlying member method code with example usage: obj.test_bce_kl_loss() without return types