Ross Wightman
7953e5d11a
Fix pos_embed scaling for ViT and num_classes != 1000 for pretrained distilled deit and pit models. Fix #426 and fix #433
4 years ago
Ross Wightman
a760a4c3f4
Some ViT cleanup, merge distilled model with main, fixup torchscript support for distilled models
4 years ago
Ross Wightman
0dfc5a66bb
Add PiT model from https://github.com/naver-ai/pit
4 years ago
Ross Wightman
51febd869b
Small tweak to tests for tnt model, reorder model imports.
4 years ago
contrastive
de86314655
Update TNT
4 years ago
contrastive
cfc15283a4
Update TNT url
4 years ago
contrastive
4a09bc851e
Add TNT model
4 years ago
Ross Wightman
14ac4abf74
Change huggingface hub revision delimiter to '@', add hf_hub reference for eca_nfnet_l0 model as an example.
4 years ago
Ross Wightman
740f32c96a
Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6
4 years ago
Ross Wightman
5e2e4e7fb6
Merge pull request #502 from khatami-mehrdad/efficientnet_dg
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adding efficientnet_el, efficientnet_es_pruned and efficientnet_el_pruned pre-trained models
4 years ago
Ross Wightman
45c048ba13
A few minor fixes and bit more cleanup on the huggingface hub integration.
4 years ago
Mehrdad
97f49d163c
adding efficientnet_el, efficientnet_es_prunedefficientnet_es_pruned and efficientnet_el_pruned pretrained models to timm/models
4 years ago
Ross Wightman
ead80d33c5
Fix typo, naming consistency
4 years ago
Ross Wightman
d584e7f617
Support for huggingface hub via create_model and default_cfgs.
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* improve consistency of model creation helper fns
* add comments to some of the model helpers
* support passing external default_cfgs so they can be sourced from hub
4 years ago
Ross Wightman
1f799afcb3
Remove capital letters in model names
4 years ago
AFLALO, Jonathan Isaac
82c1fe958a
added hardcorenas model
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refactoring to support feature extraction
4 years ago
Ross Wightman
f57db99101
Update README, fix iabn pip version print.
4 years ago
Ross Wightman
7ef7788ee9
Fix CUDA crash w/ channels-last + CSP models. Remove use of chunk()
4 years ago
Ross Wightman
317ea3e599
Tweak NFNet, ResNetV2, RexNet feature extraction, use pre-act features for simplicty. Update tests for pytorch 1.8. 0.4.5 version bump.
4 years ago
Ross Wightman
8563609b28
Update notes in ScaledStdConv impl
4 years ago
Ross Wightman
678ba4e0a2
Add NFNet-F model weights ported from DeepMind Haiku impl and new set of models w/ compatible config.
4 years ago
Ross Wightman
4f49b94311
Initial AGC impl. Still testing.
4 years ago
Ross Wightman
5f9aff395c
Fix stem width in NFNet-F models, add some more comments, add some 'light' NFNet models for testing.
4 years ago
Ross Wightman
d86dbe45c2
Update README.md and few more comments
4 years ago
Ross Wightman
0d253e2c5e
Fix issue with nfnet tests, bit more cleanup.
4 years ago
Ross Wightman
cb06c7a910
Add NFNet-F models and tweak existing NF models.
4 years ago
Ross Wightman
e4de077021
Add first 'Normalizer Free' models. nf_regnet_b1 79.3 @ 288x288 test, and nf_resnet50 80.3 @ 256x256 test (80.68 @ 288x288).
4 years ago
Ross Wightman
d8e69206be
Merge pull request #419 from rwightman/byob_vgg_models
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More models, GPU-Efficient Nets, RepVGG, classic VGG, and flexible Byob backbone.
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
Reuben
94ca140b67
update collections.abc import
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
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
f0e65e37b7
Fix NF-ResNet101 model defs
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
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
55f7dfa9ea
Refactor vision_transformer entrpy fns, add pos embedding resize support for fine tuning, add some deit models for testing
4 years ago