3 ms·

Checkout PyTorch lightning.

• Y_Y 6y ago
  Seconded. It feels like cheating but it takes out a lot of boilerplate. Overall pytorch is a product of suspiciously high quality. I would say "except for libtorch" but it looks like they might have remedied that in this release.
  • JPKab 6y ago
    Seriously. I'm on a debate with a teammate who is advocating for tensorflow. It doesn't even feel fair.
  • shafte 6y ago
    I'm curious: what's sorts of things were bad about libtorch? What did you see in this release that you thought was an improvment?
• sytelus 6y ago
  I want to love PyTorch lightning but like many other wrapper frameworks it also has severe problem: You can't use your dataloaders and nn.Module model as-is. FastAI also invents its own data bunch, dynamically specified models etc. All these reduces lines of code but then you are forced to adapt whole world to your new language.
  • JPKab 6y ago
    Fastai data bunch objects, along with all it's other data wrapper objects are incredibly simple. You can basically take any iterable and use it within them.
  • _lpa_ 6y ago
    Can't you? I have just been using the lightning class as a wrapper, with my normal model on self.model or something like this. Same for the dataloaders.