It‘s recommended to consider using mxnet's data loader.

[AlphaQi]

Hi,
thanks for your contribution of NAS, it is very nice work.
but, the pytorch's data loader is very slow when you use a big dataset likes ImageNet2012.
Fortunately， I found mxnet's dataloader is a nice work, you can package ImageNet2012
into a rec file, then call mxnet's dataloader interface in your code, and convert mxnet data
to pytorch data.