pytorch-image-models/timm
Ross Wightman a089bfba2d Version 0.8.17dev0 2023-03-22 15:40:23 -07:00
..
data Add Microsoft FocalNet specific ('ms') ImageNet-22k classifier layout 2023-03-18 14:57:34 -07:00
layers Fix #1726, dropout not used in NormMlpClassifierHead. Make dropout more consistent across both classifier heads (nn.Dropout) 2023-03-20 09:37:05 -07:00
loss Remove inplace operators when calculating the loss 2022-10-17 10:41:21 +02:00
models Update crop settings for new rexnet weights 2023-03-22 15:39:49 -07:00
optim Add multi-tensor (foreach) version of Lion in style of upcoming PyTorch 2.0 optimizers 2023-02-16 15:48:00 -08:00
scheduler Scheduler update, add v2 factory method, support scheduling on updates instead of just epochs. Add LR to summary csv. Add lr_base scaling calculations to train script. Fix #1168 2022-10-07 10:43:04 -07:00
utils Davit update formatting and fix grad checkpointing (#7) 2023-01-15 14:34:56 -08:00
__init__.py Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models 2022-12-06 15:00:06 -08:00
version.py Version 0.8.17dev0 2023-03-22 15:40:23 -07:00