Loading large dataset

I'm using Torch to train my network, using `image.load` to load images.
I'm loading about 80k images and it cost about 8G CPU RAM,
if I need to load larger dataset (ex, 1,000,000 images), is there any function for doing this? I only have 16G RAM

or is there any function like
keras `flow_from_directory()`
or
pytorch `datasets.ImageFolder`

