Commit Graph

382 Commits (ca9b078ac7b5058d6d8d3db0fa6b30916b8fa113)

Author SHA1 Message Date
Ross Wightman ca9b078ac7 Update README.md and docs. Version bumped to 0.4.3 2021-02-10 14:46:07 -08:00
Ross Wightman 6853b07bbd Improve RegVGG block identity/vs non for clariy and fix attn usage. Add comments. 2021-02-10 14:40:29 -08:00
Ross Wightman 0356e773f5 Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately. 2021-02-10 14:31:18 -08:00
Ross Wightman b4e216e377 Fix a few small things. 2021-02-09 17:33:43 -08:00
Ross Wightman dc85e5a237 Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models. 2021-02-09 16:22:52 -08:00
Ross Wightman 1bcc69e0ad Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354. 2021-02-09 16:22:52 -08:00
Ross Wightman 9811e229f7 Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models. 2021-02-09 16:22:52 -08:00
Ross Wightman a39c3ee216
Merge branch 'master' into eca-weights 2021-02-08 11:52:31 -08:00
Ross Wightman e9d6fe293c Update README for new weights. Version 0.4.2 2021-02-08 11:51:16 -08:00
Ross Wightman 666de85cf1 Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414 2021-02-07 22:10:18 -08:00
Ross Wightman 3b57490a63 Fix some half removed resnet model defs, pooling for ecaresnet269d 2021-02-07 22:09:25 -08:00
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. 2021-02-06 16:30:02 -08:00
Ross Wightman b9843f954b
Merge pull request #282 from tigert1998/patch-1
Add symbolic for SwishJitAutoFn to support onnx
2021-02-04 12:18:40 -08:00
hwangdeyu 7a4be5c035 add operator HardSwishJitAutoFn export to onnx 2021-02-03 09:06:53 +08:00
Ross Wightman 4203efa36d Fix #387 so that checkpoint saver works with max history of 1. Add checkpoint-hist arg to train.py. 2021-01-31 20:14:51 -08:00
Ross Wightman f0e65e37b7 Fix NF-ResNet101 model defs 2021-01-30 23:26:19 -08:00
Ross Wightman 2c988c3b6e Update README.md for NF-nets, bump version to 0.4.1 for merge 2021-01-30 23:19:45 -08:00
Ross Wightman 2de54d174a Fix pool size defs for NFNet models, add a comment. 2021-01-30 18:02:33 -08:00
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. 2021-01-30 16:32:07 -08:00
Ross Wightman 5a8e1e643e Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring. 2021-01-27 22:06:57 -08:00
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) 2021-01-25 11:53:34 -08:00
Ross Wightman 587780e56b Update README.md and bump version to 0.4.0 2021-01-25 11:22:11 -08:00
Ross Wightman bb50ac4708 Add DeiT distilled weights and distilled model def. Remove some redudant ViT model args. 2021-01-25 11:05:23 -08:00
Ross Wightman c16e965037 Add some ViT comments and fix a few minor issues. 2021-01-24 23:18:35 -08:00
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 2021-01-22 16:54:33 -08:00
Ross Wightman 5d4c3d0af3 Add enhanced ParserImageInTar that can read images from tars within tars, folders with multiple tars, etc. Additional comment cleanup. 2021-01-22 10:52:04 -08:00
Ross Wightman 55f7dfa9ea Refactor vision_transformer entrpy fns, add pos embedding resize support for fine tuning, add some deit models for testing 2021-01-18 16:11:02 -08:00
Ross Wightman d55bcc0fee Finishing adding stochastic depth support to BiT ResNetV2 models 2021-01-16 16:32:03 -08:00
Ross Wightman 855d6cc217 More dataset work including factories and a tensorflow datasets (TFDS) wrapper
* 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
2021-01-15 17:26:20 -08:00
Ross Wightman 20516abc18 Fix some broken tests for ResNetV2 BiT models 2021-01-04 23:21:39 -08:00
Ross Wightman 59ec7e6a53 Merge branch 'master' into imagenet21k_datasets_more 2021-01-04 12:11:05 -08:00
Ross Wightman e7a9ddf982
Merge pull request #334 from kecsap/links
Follow symbolic links during dataset scanning
2021-01-04 10:30:58 -08:00
Csaba Kertesz 7cae7e7035 Follow links during dataset scanning 2021-01-04 00:16:45 +02:00
Ross Wightman c96e9f99a0 Update version to 0.3.3 2021-01-03 12:43:44 -08:00
Ross Wightman 4e2533db77 Add 320x320 model default cfgs for 101D and 152D ResNets. Add SEResNet-152D weights and 320x320 cfg. 2021-01-03 12:10:25 -08:00
Ross Wightman 0167f749d3 Remove some old __future__ imports 2021-01-03 11:24:16 -08:00
Ross Wightman e35e9760a6 More work on dataset / parser split and imagenet21k (tar) support 2020-12-28 16:59:15 -08:00
Ross Wightman ce69de70d3 Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models 2020-12-28 16:59:15 -08:00
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. 2020-12-28 16:59:15 -08:00
Ross Wightman de6046e213 Initial commit for dataset / parser reorg to support additional datasets / types 2020-12-28 16:59:15 -08:00
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. 2020-12-18 21:28:47 -08:00
Ross Wightman b1f1228a41 Add ResNet101D, 152D, and 200D weights, remove meh 66d model 2020-12-18 17:13:37 -08:00
Jasha 7c56c718f3 Configure create_optimizer with args.opt_args
Closes #301
2020-12-08 00:03:09 -06:00
Ross Wightman 9a25fdf3ad
Merge pull request #297 from rwightman/ema_simplify
Simplified JIT compatible Ema module. Fixes for SiLU export and torchscript training w/ Linear layer.
2020-12-05 11:42:45 -08:00
Tymoteusz Wiśniewski de15b43865 Fix a bug with accuracy retrieving from RealLabels 2020-12-04 16:12:50 +01:00
Ross Wightman cd72e66eff Bug in last mod for features_only default_cfg 2020-12-03 12:33:01 -08:00
Ross Wightman 867a0e5a04 Add default_cfg back to models wrapped in feature extraction module as per discussion in #294. 2020-12-03 10:24:35 -08:00
Ross Wightman 4ca52d73d8 Add separate set and update method to ModelEmaV2 2020-12-03 10:05:09 -08:00
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. 2020-11-30 16:19:52 -08:00
Ross Wightman 6504a42832 Version 0.3.2 2020-11-30 13:39:08 -08:00