e4360e6125
Merge pull request #1270 from developer0hye/patch-1
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fix a function parameter typo(cropt_pct -> crop_pct)
3 years ago
57f8361a01
fix a function parameter typo(cropt_pct -> crop_pct)
3 years ago
fd360ac951
Merge pull request #1266 from kaczmarj/enh/no-star-imports
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ENH: replace star imports with imported names in train.py
3 years ago
004fb5f8c4
Merge pull request #1265 from kaczmarj/enh/argparse-groups
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ENH: use argparse groups in training script
3 years ago
ce5578bc3a
replace star imports with imported names
3 years ago
dcad288fd6
use argparse groups to group arguments
3 years ago
e1e4c9bbae
rm whitespace
3 years ago
20a1fa63f8
Make dev version 0.6.2.dev0 for pypi pre
3 years ago
3409bb9156
Update README.md
3 years ago
137292644b
Update README.md
3 years ago
14f370ca1d
Merge pull request #1259 from rwightman/swin_v2
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Official SwinV2 models
3 years ago
347308faad
Update README.md, version to 0.6.2
3 years ago
4b30bae67b
Add updated vit_relpos weights, and impl w/ support for official swin-v2 differences for relpos. Add bias control support for MLP layers
3 years ago
d4c0588012
Remove persistent buffers from Swin-V2. Change SwinV2Cr cos attn + tau/logit_scale to match official, add ckpt convert, init_value zeros resid LN weight by default
3 years ago
27c42f0830
Fix torchscript use for offician Swin-V2, add support for non-square window/shift to WindowAttn/Block
3 years ago
2f2b22d8c7
Disable nvfuser fma / opt level overrides per #1244
3 years ago
c0211b0bf7
Swin-V2 test fixes, typo
3 years ago
9a86b900fa
Official SwinV2 models
3 years ago
d07d015173
Merge pull request #1249 from okojoalg/sequencer
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Add Sequencer
3 years ago
d30685c283
Merge pull request #1251 from hankyul2/fix-multistep-scheduler
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fix: multistep lr decay epoch bugs
3 years ago
a16171335b
fix: change milestones to decay-milestones
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- change argparser option `milestone` to `decay-milestone`
3 years ago
39b725e1c9
Fix tests for rank-4 output where feature channels dim is -1 (3) and not 1
3 years ago
78a32655fa
Fix poolformer group_matcher to merge proj downsample with previous block, support coarse
3 years ago
d79f3d9d1e
Fix torchscript use for sequencer, add group_matcher, forward_head support, minor formatting
3 years ago
37b6920df3
Fix group_matcher regex for regnet.py
3 years ago
93a79a3dd9
Fix num_features in Sequencer
3 years ago
2fec08e923
Add Sequencer to non std filters
3 years ago
57a988df30
fix: multistep lr decay epoch bugs
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- add milestones arguments
- change decay_epochs to milestones variable
3 years ago
578d52e752
Add Sequencer
3 years ago
6d4665bb52
Merge pull request #1245 from rwightman/vit_relpos_refactor
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Vision Transformer refactoring and Rel Pos impl
3 years ago
f5ca4141f7
Adjust arg order for recent vit model args, add a few comments
3 years ago
41dc49a337
Vision Transformer refactoring and Rel Pos impl
3 years ago
b7cb8d0337
Add Swin-V2 Small-NS weights (83.5 @ 224). Add layer scale like 'init_values' via post-norm LN weight scaling
3 years ago
001688dabf
Merge pull request #1233 from jjsjann123/nhwc_cond_conv2d
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fixing channels_last on cond_conv2d; update nvfuser debug env variable
3 years ago
f88c606fcf
fixing channels_last on cond_conv2d; update nvfuser debug env variable
3 years ago
7d235c5a5f
Merge pull request #1230 from donglixp/patch-1
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migrate azure blob for beit checkpoints
3 years ago
09e9f3defb
migrate azure blob for beit checkpoints
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## Motivation
We are going to use a new blob account to store the checkpoints.
## Modification
Modify the azure blob storage URLs for BEiT checkpoints.
3 years ago
52ac881402
Missed first_conv in latest seresnext 'D' default_cfgs
3 years ago
7629d8264d
Add two new SE-ResNeXt101-D 32x8d weights, one anti-aliased and one not. Reshuffle default_cfgs vs model entrypoints for resnet.py so they are better aligned.
3 years ago
fbf597049c
Update README and change timmdocs link in documentation
3 years ago
01a0e25a67
Merge pull request #1208 from seefun/master
3 years ago
8f0bc0591e
fix convnext args
3 years ago
b0d2fcf647
Merge branch 'rwightman:master' into master
3 years ago
eac2df3d2c
Update PyTorch 1.10 benchmark numbers for latest code
3 years ago
c5a8e929fb
Add initial swinv2 tiny / small weights
3 years ago
83d7a11eec
Update .gitignore, remove out of date notebooks
3 years ago
02b806e00a
Add PyTorch 1.11 train benchmark numbers
3 years ago
c9f208f7f8
Update eval results and add latest PyTorch 1.11 inference benchmarks
3 years ago
f670d98cb8
Make a few more layers symbolically traceable (remove from FX leaf modules)
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* remove dtype kwarg from .to() calls in EvoNorm as it messed up script + trace combo
* BatchNormAct2d always uses custom forward (cut & paste from original) instead of super().forward. Fixes #1176
* BlurPool groups==channels, no need to use input.dim[1]
3 years ago
a9ecb880e5
Merge pull request #1190 from seefun/ConvNeXt-pretrain
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Add ConvNeXt tiny and small pretrain in22k
3 years ago
Ross Wightman