code: def load(data_dir, backend="nccl", filename="databunch.pkl"):
      try:
          torch.distributed.init_process_group(
              backend=backend,
              init_method="tcp://localhost:23459",
              rank=0,
              world_size=1,
          )
      except:
          pass
  
      tmp_path = data_dir / "tmp"
      with open(str(tmp_path / filename), "rb") as f:
          databunch = pickle.load(f)
  
      return databunch
  
imports: import pandas
  import os
  import torch
  from pathlib import Path
  import pickle
  from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
  from torch.utils.data.distributed import DistributedSampler
  from transformers import WEIGHTS_NAME, BertConfig, BertForSequenceClassification, BertTokenizer, XLMConfig, XLMForSequenceClassification, XLMTokenizer, XLNetConfig, XLNetForSequenceClassification, XLNetTokenizer
label_desc: Use image node_id 3 for calling the BertDataBunch obj's underlying member method code with example usage: obj.load(data_dir, backend, filename) and returns: databunch