code: def test_refiner_ms_loss(self):
      refiner_ms_loss = losses.RefinerMSLoss(
          alpha=50, beta=2, base=0.5, margin=0.1, epsilon=1e-16
      )
  
      torch.manual_seed(1234)
      random_tensor = torch.rand((1, 768))
      sample_list = {"targets": random_tensor}
      model_output = {"scores": random_tensor}
  
      loss_result = refiner_ms_loss(sample_list, model_output)
      self.assertEqual(loss_result, 0.0)
  
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 10 for calling the TestModuleLosses obj's underlying member method code with example usage: obj.test_refiner_ms_loss() without return types