code: def test_distributed_tuple_loss_efficient(self):
      for use_ref in [False, True]:
          self.loss_and_miner_tester(
              ContrastiveLoss, None, True, False, use_ref
          )
  
imports: import logging
  import os
  import unittest
  import torch
  import torch.distributed
  import torch.multiprocessing
  import torch.optim
  from torch.nn.parallel import DistributedDataParallel
  from pytorch_metric_learning.losses import ContrastiveLoss, CrossBatchMemory
  from pytorch_metric_learning.miners import PairMarginMiner
  from pytorch_metric_learning.utils import distributed
  from ..None import TEST_DEVICE, TEST_DTYPES
label_desc: Use image node_id 4 for calling the TestDistributedLossWrapper obj's underlying member method code with example usage: obj.test_distributed_tuple_loss_efficient() without return types