Andrew Ilyas
Andrew Ilyas
1. This might be a case of circular reasoning---Devpost thinks hackathons want to assign new table numbers and move people around (which, firsthand, is not great UX on either end),...
Hi @zero0kiriyu ! In general, this should be really simple to do---FFCV can convert any indexable object into an FFCV dataset! See this guide for an example: https://docs.ffcv.io/writing_datasets.html. Something like...
Hi! I think I misunderstood your question over slack---inserting ops into the pipeline after you make the loader isn't supported, as far as I know. @GuillaumeLeclerc can correct me if...
@dskhudia I see---one option is that you can make the transformations have a flag is_active, and if it's false just skip the transformation. Then during training you can do tx.is_active...
Hi sorry for missing this! FFCV wouldn't see this is_active flag (you could call it anything), it would just be a parameter of the class, and then inside the function...
@dskhudia I see, that makes sense---we'll consider working this into our next release, but for now my advice would be to accomplish what you want by subclassing the augmentation.
Thanks for the suggestion! It's not in our immediate plans at the moment but happy to review a pull request if you have implemented it!
Hi @aph-naph ! Can you post your PyTorch and Python configurations?
Hi @aph-naph ! Sorry for the late reply. Do you think you could try this docker instance and see if it works? https://github.com/libffcv/ffcv/blob/main/docker/Dockerfile
It works locally for me for sure---did you try regenerating the dataset files?