code: def reset(self: DistributedDataParallel):
      "Patch required `reset` call into `DistributedDataParallel`"
      if hasattr(self.module, "reset"):
          self.module.reset()
  
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 5 for calling a global function with example usage: reset() without return types