pytorch-image-models/timm
Ross Wightman ad94d737b7 Add support to ConvNextBlock for downsample and channel expansion to improve stand alone use. Fix #1699 2023-03-13 14:06:24 -07:00
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data Fix #1713 missed assignement in 3-aug level fn, fix few other minor lint complaints in auto_augment.py 2023-03-11 14:32:23 -08:00
layers Torchscript fixes/hacks for rms_norm, refactor ParallelScalingBlock with manual combination of input projections, closer paper match 2023-02-16 16:57:42 -08:00
loss Remove inplace operators when calculating the loss 2022-10-17 10:41:21 +02:00
models Add support to ConvNextBlock for downsample and channel expansion to improve stand alone use. Fix #1699 2023-03-13 14:06:24 -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 Add convnext_xxlarge CLIP image tower weights, version 0.8.15dev0 2023-02-26 21:51:48 -08:00