class_docstr: Joinable Evaluator.
class_docstr_tok: ["Joinable","Evaluator","."]
code: def __init__(self, opt):
      import parlai.utils.distributed as dist_utils
  
      super().__init__(opt)
      self.__device = opt["gpu"]
      self.__group = dist_utils.get_dist_group()
  
imports: import contextlib
  import functools
  import torch
  import torch.distributed
  from torch.distributed.algorithms.join import Join, Joinable, JoinHook
  import torch.nn
  from parlai.scripts.eval_model import Evaluator
  from parlai.scripts.train_model import TrainLoop
  from parlai.utils.distributed import is_distributed, get_dist_group
label_desc: Use image node_id 1 to create a new JoinableEvaluator object from inherited base classes: Evaluator, Joinable with example: obj = JoinableEvaluator(opt)