why the training speed of an epoch is accelerating? about prototypical-networks

[jakesnell]

This is expected due to the way data loading is done. As images are read from disk, they are continually cached into memory. Eventually all of the images are loaded into memory and training is no longer bottlenecked by data loading.

[aiyolo]

@jakesnell Thanks for you reply. It makes sense to explain the phenomenon in this way. In fact, I recently reimplemented PN using most of your code, and I got nearly the same train acc and val acc as your demo, but the training speed is equal in every epoch(the cache in the memory may be not used in next epoch), so I was wondering that if there are any special mechanisams to achieve it?

[Bryce1010]

@aiyolo It's a interesting phenomenon, are datasets stored in the same kind of hard disk? May be your datas store in SSD?
By the way, does that mater if the start epoch' speed is a little low?