class_docstr: Dataloader which wraps another dataloader and skip `None` batch data.
  
  Attribute accesses are passed to the wrapped dataloader.
code: def __init__(self, dataloader: Iterable) -> None:
      super().__init__(dataloader)
  
imports: from typing import Any, Iterable, Iterator
  from .dataloader_wrapper import DataloaderWrapper
label_desc: Use image node_id 1 to create a new DataloaderSkipNoneWrapper object from inherited base classes: DataloaderWrapper with example: obj = DataloaderSkipNoneWrapper(dataloader)