Ross Wightman
ca9b078ac7
Update README.md and docs. Version bumped to 0.4.3
4 years ago
Ross Wightman
6853b07bbd
Improve RegVGG block identity/vs non for clariy and fix attn usage. Add comments.
4 years ago
Ross Wightman
0356e773f5
Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately.
4 years ago
Ross Wightman
b4e216e377
Fix a few small things.
4 years ago
Ross Wightman
dc85e5a237
Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models.
4 years ago
Ross Wightman
1bcc69e0ad
Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354 .
4 years ago
Ross Wightman
9811e229f7
Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
4 years ago
Ross Wightman
a39c3ee216
Merge branch 'master' into eca-weights
4 years ago
Ross Wightman
e9d6fe293c
Update README for new weights. Version 0.4.2
4 years ago
Ross Wightman
666de85cf1
Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414
4 years ago
Ross Wightman
3b57490a63
Fix some half removed resnet model defs, pooling for ecaresnet269d
4 years ago
Ross Wightman
68a4144882
Add new weights for ecaresnet26t/50t/269d models. Remove distinction between 't' and 'tn' (tiered models), tn is now t. Add test time img size spec to default cfg.
4 years ago
Ross Wightman
b9843f954b
Merge pull request #282 from tigert1998/patch-1
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Add symbolic for SwishJitAutoFn to support onnx
4 years ago
hwangdeyu
7a4be5c035
add operator HardSwishJitAutoFn export to onnx
4 years ago
Ross Wightman
4203efa36d
Fix #387 so that checkpoint saver works with max history of 1. Add checkpoint-hist arg to train.py.
4 years ago
Ross Wightman
f0e65e37b7
Fix NF-ResNet101 model defs
4 years ago
Ross Wightman
2c988c3b6e
Update README.md for NF-nets, bump version to 0.4.1 for merge
4 years ago
Ross Wightman
2de54d174a
Fix pool size defs for NFNet models, add a comment.
4 years ago
Ross Wightman
90980de4a9
Fix up a few details in NFResNet models, managed stable training. Add support for gamma gain to be applied in activation or ScaleStdConv. Some tweaks to ScaledStdConv.
4 years ago
Ross Wightman
5a8e1e643e
Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
4 years ago
Ross Wightman
38d8f67570
Fix potential issue with change to num_classes arg in train/validate.py defaulting to None (rely on model def / default_cfg)
4 years ago
Ross Wightman
587780e56b
Update README.md and bump version to 0.4.0
4 years ago
Ross Wightman
bb50ac4708
Add DeiT distilled weights and distilled model def. Remove some redudant ViT model args.
4 years ago
Ross Wightman
c16e965037
Add some ViT comments and fix a few minor issues.
4 years ago
Ross Wightman
22748f1a2d
Convert samples/targets in ParserImageInTar to numpy arrays, slightly less mem usage for massive datasets. Add a few more se/eca model defs to resnet.py
4 years ago
Ross Wightman
5d4c3d0af3
Add enhanced ParserImageInTar that can read images from tars within tars, folders with multiple tars, etc. Additional comment cleanup.
4 years ago
Ross Wightman
55f7dfa9ea
Refactor vision_transformer entrpy fns, add pos embedding resize support for fine tuning, add some deit models for testing
4 years ago
Ross Wightman
d55bcc0fee
Finishing adding stochastic depth support to BiT ResNetV2 models
4 years ago
Ross Wightman
855d6cc217
More dataset work including factories and a tensorflow datasets (TFDS) wrapper
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* Add parser/dataset factory methods for more flexible dataset & parser creation
* Add dataset parser that wraps TFDS image classification datasets
* Tweak num_classes handling bug for 21k models
* Add initial deit models so they can be benchmarked in next csv results runs
4 years ago
Ross Wightman
20516abc18
Fix some broken tests for ResNetV2 BiT models
4 years ago
Ross Wightman
59ec7e6a53
Merge branch 'master' into imagenet21k_datasets_more
4 years ago
Ross Wightman
e7a9ddf982
Merge pull request #334 from kecsap/links
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Follow symbolic links during dataset scanning
4 years ago
Csaba Kertesz
7cae7e7035
Follow links during dataset scanning
4 years ago
Ross Wightman
c96e9f99a0
Update version to 0.3.3
4 years ago
Ross Wightman
4e2533db77
Add 320x320 model default cfgs for 101D and 152D ResNets. Add SEResNet-152D weights and 320x320 cfg.
4 years ago
Ross Wightman
0167f749d3
Remove some old __future__ imports
4 years ago
Ross Wightman
e35e9760a6
More work on dataset / parser split and imagenet21k (tar) support
4 years ago
Ross Wightman
ce69de70d3
Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models
4 years ago
Ross Wightman
231d04e91a
ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.
4 years ago
Ross Wightman
de6046e213
Initial commit for dataset / parser reorg to support additional datasets / types
4 years ago
Ross Wightman
392595c7eb
Add pool_size to default cfgs for new models to prevent tests from failing. Add explicit 200D_320 model entrypoint for next benchmark run.
4 years ago
Ross Wightman
b1f1228a41
Add ResNet101D, 152D, and 200D weights, remove meh 66d model
4 years ago
Jasha
7c56c718f3
Configure create_optimizer with args.opt_args
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Closes #301
4 years ago
Ross Wightman
9a25fdf3ad
Merge pull request #297 from rwightman/ema_simplify
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Simplified JIT compatible Ema module. Fixes for SiLU export and torchscript training w/ Linear layer.
4 years ago
Tymoteusz Wiśniewski
de15b43865
Fix a bug with accuracy retrieving from RealLabels
4 years ago
Ross Wightman
cd72e66eff
Bug in last mod for features_only default_cfg
4 years ago
Ross Wightman
867a0e5a04
Add default_cfg back to models wrapped in feature extraction module as per discussion in #294 .
4 years ago
Ross Wightman
4ca52d73d8
Add separate set and update method to ModelEmaV2
4 years ago
Ross Wightman
2ed8f24715
A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.
4 years ago
Ross Wightman
6504a42832
Version 0.3.2
4 years ago