class_docstr: Lazy copy-paste from https://gist.github.com/MFreidank/821cc87b012c53fade03b0c7aba13958.
code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
      # Initialize an iterator over the dataset.
      self.dataset_iterator = super().__iter__()
      self.epoch_counter = 0
  
imports: import os
  import torch
  import transformers
  from torch.utils.data import DataLoader
  from datasets.distributed import split_dataset_by_node
label_desc: Use image node_id 1 to create a new InfiniteDataLoader object from inherited base classes: torch.utils.data with example: obj = InfiniteDataLoader()