pytorch-image-models/timm
Ross Wightman f670d98cb8 Make a few more layers symbolically traceable (remove from FX leaf modules)
* remove dtype kwarg from .to() calls in EvoNorm as it messed up script + trace combo
* BatchNormAct2d always uses custom forward (cut & paste from original) instead of super().forward. Fixes #1176
* BlurPool groups==channels, no need to use input.dim[1]
2022-03-24 21:43:56 -07:00
..
data Significant model refactor and additions: 2022-02-28 13:56:23 -08:00
loss Update binary cross ent impl to use thresholding as an option (convert soft targets from mixup/cutmix to 0, 1) 2021-09-23 15:45:39 -07:00
models Make a few more layers symbolically traceable (remove from FX leaf modules) 2022-03-24 21:43:56 -07:00
optim Fix bug introduced in non layer_decay weight_decay application. Remove debug print, fix arg desc. 2022-02-28 17:06:32 -08:00
scheduler Remove redundant noise attr from Plateau scheduler (use parent) 2022-03-21 22:00:03 -07:00
utils Add --fuser arg to train/validate/benchmark scripts to select jit fuser type 2022-01-17 13:54:25 -08:00
__init__.py Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks. 2022-01-25 21:54:13 -08:00
version.py version 0.6.1 for master 2022-03-21 22:03:13 -07:00