code: def find_duplicates(lst):
      seen = set()
      dups = set()
      for el in lst:
          if el in seen:
              dups.add(el)
          seen.add(el)
      return dups
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from byteps.torch import _DistributedOptimizer
  from byteps.torch.compression import Compression
  from byteps.torch.ops import push_pull_async_inplace
  from byteps.torch.ops import push_pull
  from byteps.torch.ops import poll, synchronize, declare
  from byteps.torch.ops import init, shutdown
  from byteps.torch.ops import size, local_size, rank, local_rank
  import time
  import threading
  import torch
  import collections
label_desc: Use image node_id 2 for calling the _HalfPrecisionDistributedOptimizer obj's underlying member method code with example usage: obj.find_duplicates(lst) and returns: dups