code: def test_do_nothing_reducer(self):
      reducer = DoNothingReducer()
      for dtype in TEST_DTYPES:
          loss_dict = {
              "loss": {
                  "losses": torch.randn(100)
                  .type(dtype)
                  .to(TEST_DEVICE),
                  "indices": torch.arange(100),
                  "reduction_type": "element",
              }
          }
          output = reducer(loss_dict, None, None)
          self.assertTrue(output == loss_dict)
  
imports: import unittest
  import torch
  from pytorch_metric_learning.reducers import DoNothingReducer
  from ..None import TEST_DEVICE, TEST_DTYPES
label_desc: Use image node_id 1 for calling the TestDoNothingReducer obj's underlying member method code with example usage: obj.test_do_nothing_reducer() without return types