code: def teardown_distrib():
      "Free distributed training resources"
      if torch.distributed.is_initialized():
          torch.distributed.destroy_process_group()
  
imports: from __future__ import annotations
  from .basics import *
  from .callback.progress import ProgressCallback
  from torch.nn.parallel import DistributedDataParallel, DataParallel
  from .data.load import _FakeLoader, _loaders
  from .optimizer import OptimWrapper
label_desc: Use image node_id 7 for calling a global function with example usage: teardown_distrib() without return types