class_docstr: A light-weight wrapper class for torch.distributed API.
  Only a subset of functions are wrapped. Once the init_process_group
  is initialized, standard torch.distributed.* can be used directly
  so no need to wrap all the functions. We can keep adding wrappers as
  needed.
class_docstr_tok: ["A","light-weight","wrapper","class","for","torch.distributed","API",".","Only","a","subset","of","functions","are","wrapped",".","Once","the","init_process_group","is","initialized",",","standard","torch.distributed",".","*","can","be","used","directly","so","no","need","to","wrap","all","the","functions",".","We","can","keep","adding","wrappers","as","needed","."]
code: def get_world_group(self):
      return torch.distributed.group.WORLD
  
imports: from deepspeed import utils
  from .utils import *
  from .backend import *
  from .comm import *
  import os
label_desc: Use image node_id 34 for calling the TorchBackend obj's underlying member method code with example usage: obj.get_world_group() and returns: torch