This repository has been archived by the owner on Jul 1, 2024. It is now read-only.
v0.6.0
New Features
- Added compatibility with pytorch version 1.9.0 (#753)
- Added RegNetZ model implementation (#713)
- Redefined RegNetY 64GF to better performing model (#748)
- Added support for Pytorch AMP + ShardedDDP (#667)
- Added support for cutmix in
MixupTransform
- Added support for a 1x1 convolution in the fully connected head (#712)
- Add support to normalize inputs in the heads (#664)
- Added support for SiLU activation in RegNets (#711)
- Added support for FP16 gradient communication in DDP (#709)
- Added reduction mode
none
insoft_target_cross_entropy_loss
(#714) - Added FLOPs computation to ViT (#746)
- Upstreamed parameter schedulers to fvcore