class_docstr: Dataloader which wraps another dataloader, and moves the data to GPU asynchronously.
  At most one batch is pre-emptively copied (per worker).
  
  credits: @vini, nvidia Apex
class_docstr_tok: ["Dataloader","which","wraps","another","dataloader",",","and","moves","the","data","to","GPU","asynchronously",".","At","most","one","batch","is","pre-emptively","copied","(","per","worker",")",".","credits",":","@","vini",",","nvidia","Apex"]
code: def __len__(self) -> int:
      return len(self.dataloader)
  
file_path: ClassyVision/classy_vision/dataset/dataloader_async_gpu_wrapper.py
imports: from typing import Any, Iterable, Iterator
  import torch
  from classy_vision.generic.util import recursive_copy_to_gpu
  from .dataloader_wrapper import DataloaderWrapper
label_desc: Use image node_id 5 for calling the DataloaderAsyncGPUWrapper obj's underlying member method code with example usage: obj.__len__() and returns: len