code: def __init__(self, model, criterion):
      super(DsFairseqModel, self).__init__()
      self.model = model
      self.criterion = criterion
  
imports: import math
  import torch
  from torch import nn
  import torch.distributed
  import deepspeed
  from deepspeed.utils import log_dist
  from fairseq import tasks, distributed_utils
  from fairseq.logging import metrics
  from ds_fairseq_data import BatchIterator
  from ds_fairseq_argument import gen_ds_fairseq_arg
label_desc: Use image node_id 1 to create a new DsFairseqModel object from inherited base classes: nn with example: obj = DsFairseqModel(model, criterion)