Mannat Singh

> You can use torchx status so we could add a torchx queue method to render this better for all schedulers I think it's hard to see us migrating to...

> https://github.com/pytorch/torchx/pull/412 makes it so that when running with dist.ddp the node stdout and stderr log lines are prefixed with the local_rank of the worker that produced that line... We...

@siyangbing you're right, we don't have a tutorial for inference at the moment since the API isn't finalized. If you want to evaluate a trained checkpoint on a test dataset,...

@stephenyan1231 do you have any suggestions for the best way to do this?

@siyangbing we have good support for this for images, but that's missing a tutorial. For videos, we need to add better support!

Thanks for the code sample, @shinianzhihou !

Hi @benjamindkilleen - we indeed have undocumented support for Hydra available. What's missing is a tutorial for using Hydra. If you have hydra installed in your environment, we use our...

Got it. We do bundle a few hydra based configs which should provide an idea about the structure. Do the examples in the summary of https://github.com/facebookresearch/ClassyVision/pull/536 help? The primary reason...

Got it, thanks for the feedback! While hydra is definitely a better option than JSON, our plan is to allow a slow transition. I agree though that currently the support...

Glad that you find the implementation useful @vinayak015! You're right, this only corresponds to the "Excitation" part of the SE op. I think the code generally referred to this section...