code: def DistributedLoss(
      loss: nn.Module, *args: Tuple, **kwargs: Dict
  ) -> Callable:
      loss_func = loss(*args, **kwargs)
  
      def dloss(
          input_rref: rpc.RRef, target_rref: rpc.RRef
      ) -> rpc.RRef:
          return rpc.remote(
              input_rref.owner(),
              _rloss,
              args=(loss_func, input_rref, target_rref),
          )
  
      return dloss
  
imports: from typing import Callable, Dict, Tuple
  from torch import nn
  from torch.distributed import rpc
label_desc: Use image node_id 2 for calling a global function with example usage: DistributedLoss(loss) and returns: dloss, rpc