code: def __iter__(self):
      return iter(self.d.create_batches(self.d.sample()))
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from torch.utils.data.dataloader import _MultiProcessingDataLoaderIter, _SingleProcessDataLoaderIter, _DatasetKind
label_desc: Use image node_id 3 for calling the _FakeLoader obj's underlying member method code with example usage: obj.__iter__() and returns: iter