024fc4d9ab
version 0.6.1 for master
3 years ago
e1e037ba52
Fix bad tuple typing fix that was on XLA branch bust missed on master merge
3 years ago
341b464a5a
Remove redundant noise attr from Plateau scheduler (use parent)
3 years ago
7514439573
Merge pull request #1014 from rwightman/norm_norm_norm
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Normalization layer additions, model API updates, new models, new weights, and enhancements
3 years ago
749856cf25
Merge remote-tracking branch 'origin/norm_norm_norm' into bits_and_tpu
3 years ago
ff21fdb41d
Update README.md ready for merge
3 years ago
fe457c1996
Update SwinTransformerV2Cr post-merge, update with grad checkpointing / grad matcher
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* weight compat break, activate norm3 for final block of final stage (equivalent to pre-head norm, but while still in BLC shape)
* remove fold/unfold for TPU compat, add commented out roll code for TPU
* add option for end of stage norm in all stages
* allow weight_init to be selected between pytorch default inits and xavier / moco style vit variant
3 years ago
b049a5c5c6
Merge remote-tracking branch 'origin/master' into norm_norm_norm
3 years ago
7cdd164d77
Fix #1184 , scheduler noise bug during merge madness
3 years ago
9440a50c95
Merge branch 'mrT23-master'
3 years ago
d98aa47d12
Revert ml-decoder changes to model factory and train script
3 years ago
04db5833eb
Merge pull request #986 from hankyul2/master
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fix: typo of argment parser desc in train.py
3 years ago
b20665d379
Merge pull request #1007 from qwertyforce/patch-1
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update arxiv link
3 years ago
d66b4c2355
Merge pull request #801 from developer0hye/patch-1
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fix a typo in ### Select specific feature levels or limit the stride
3 years ago
7a0994f581
Merge pull request #1150 from ChristophReich1996/master
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Swin Transformer V2
3 years ago
d757fecaac
Merge pull request #1112 from ayasyrev/sched_noise_dup_code
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sched noise dup code remove
3 years ago
61d3493f87
Fix hf-hub handling when hf-hub is config source
3 years ago
5f47518f27
Fix pit implementation to be clsoer to deit/levit re distillation head handling
3 years ago
0862e6ebae
Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet
3 years ago
94bcdebd73
Add latest weights trained on TPU-v3 VM instances
3 years ago
95739b45d7
Fix partially removed alt_lable impl from TFDS variant of ImageNet22/12k
3 years ago
5e1be34a60
Add ImageNet-22k/12k TFDS dataset defs
3 years ago
59ffab537c
Fix mistake in wds sample slicing
3 years ago
ef57561d51
Fix some TPU (XLA) issues with swin transformer v2
3 years ago
ab16a358bb
Add log and continue handler for WDS errors, fix args.num_gpu for validation script fallback
3 years ago
7eeaf521a0
use gopen in wds to open info file in case it's at a url/gs location
3 years ago
229ac6b8d8
Fix alternate label handling in WDS parser to skip invalid alt labels
3 years ago
a444d4b891
Add alternative label support to WDS for imagenet22k/12k split, add 21k/22k/12k indices filters to results/
3 years ago
da2796ae82
Add webdataset (WDS) support, update TFDS to make some naming in parsers more similar. Fix workers=0 compatibility. Add ImageNet22k/12k synset defs.
3 years ago
3fce010ca8
Merge remote-tracking branch 'origin/norm_norm_norm' into bits_and_tpu
3 years ago
0557c8257d
Fix bug introduced in non layer_decay weight_decay application. Remove debug print, fix arg desc.
3 years ago
15cc9eae3e
Fix Swin v2 tuple type hint
3 years ago
bb85b09d2a
swin v2 fixup for latest changes on norm_norm_norm / bits_and_tpu branch
3 years ago
10fa42b143
Merge branch 'ChristophReich1996-master' into bits_and_tpu
3 years ago
c639a86c67
Change TFDS default to full re-shuffle (init) each epoch (for now)
3 years ago
a16ea1e355
Merge remote-tracking branch 'origin/norm_norm_norm' into bits_and_tpu
3 years ago
372ad5fa0d
Significant model refactor and additions:
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* All models updated with revised foward_features / forward_head interface
* Vision transformer and MLP based models consistently output sequence from forward_features (pooling or token selection considered part of 'head')
* WIP param grouping interface to allow consistent grouping of parameters for layer-wise decay across all model types
* Add gradient checkpointing support to a significant % of models, especially popular architectures
* Formatting and interface consistency improvements across models
* layer-wise LR decay impl part of optimizer factory w/ scale support in scheduler
* Poolformer and Volo architectures added
3 years ago
1420c118df
Missed comitting outstanding changes to default_cfg keys and test exclusions for swin v2
3 years ago
c6e4b7895a
Swin V2 CR impl refactor.
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* reformat and change some naming so closer to existing timm vision transformers
* remove typing that wasn't adding clarity (or causing torchscript issues)
* support non-square windows
* auto window size adjust from image size
* post-norm + main-branch no
3 years ago
67d140446b
Fix bug in classification head
3 years ago
29add820ac
Refactor (back to relative imports)
3 years ago
74a04e0016
Add parameter to change normalization type
3 years ago
2a4f6c13dd
Create model functions
3 years ago
87b4d7a29a
Add get and reset classifier method
3 years ago
ff5f6bcd6c
Check input resolution
3 years ago
81bf0b4033
Change parameter names to match Swin V1
3 years ago
f227b88831
Add initials (CR) to model and file
3 years ago
90dc74c450
Add code from https://github.com/ChristophReich1996/Swin-Transformer-V2 and change docstring style to match timm
3 years ago
7c67d6aca9
Update README.md
3 years ago
2c3870e107
semobilevit_s for good measure
3 years ago
Ross Wightman