Resuming training via --load_step

[justinchiu]

Thanks for the code release!

Heads up for other users who want to resume training from a checkpoint: you will want to

1. de-indent DDP_main.py:80 so that all devices can load the checkpoint
2. load the optimizer and scheduler states on line DDP_main:146
3. set the index of the dataloader to the correct example before actually training

I'm not totally sure this solves everything like logging, but might work ok.

Note: There's also a separate issue that your checkpoints might get overwritten between epochs, so be sure you're loading the right thing and saving where you want.