code: def _wif(worker_id):
      set_num_threads(1)
      info = get_worker_info()
      ds = info.dataset.d
      ds.num_workers, ds.offs = info.num_workers, info.id
      set_seed(info.seed)
      ds.wif()
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from torch.utils.data.dataloader import _MultiProcessingDataLoaderIter, _SingleProcessDataLoaderIter, _DatasetKind
label_desc: Use image node_id 1 for calling a global function with example usage: _wif(worker_id) without return types