class_docstr: Dataloader which wraps another dataloader and skip `None` batch data.
  
  Attribute accesses are passed to the wrapped dataloader.
code: def __next__(self) -> Any:
      # we may get `None` batch data when all the images/videos in the batch
      # are corrupted. In such case, we keep getting the next batch until
      # meeting a good batch.
      next_batch = None
      while next_batch is None:
          next_batch = next(self._iter)
      return next_batch
  
imports: from typing import Any, Iterable, Iterator
  from .dataloader_wrapper import DataloaderWrapper
label_desc: Use image node_id 3 for calling the DataloaderSkipNoneWrapper obj's underlying member method code with example usage: obj.__next__() and returns: next_batch