class_docstr: Wrap a dataset so that, whenever a new item is returned, it is saved to memory.
class_docstr_tok: ["Wrap","a","dataset","so","that",",","whenever","a","new","item","is","returned",",","it","is","saved","to","memory","."]
code: def __len__(self):
      return len(self.dataset)
  
file_path: audio/examples/pipeline_wav2letter/datasets.py
imports: import torch
  from torchaudio.datasets import LIBRISPEECH
label_desc: Use image node_id 3 for calling the MapMemoryCache obj's underlying member method code with example usage: obj.__len__() and returns: len