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Merge dev in main ✨ #24

Merged
merged 70 commits into from
Jun 2, 2023
Merged

Merge dev in main ✨ #24

merged 70 commits into from
Jun 2, 2023

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o-laurent
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@o-laurent o-laurent commented May 26, 2023 •
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  • Update packages ⚑
  • Remove useless functional transforms πŸ”₯
  • Add a link to Packed-Ensembles medium post πŸ“–
  • Add ImageNet variations ✨
  • Don't compute coverage on datasets and load_pretrained methods
  • Merge baselines simplifications PR πŸ”¨
  • Add tests (missing for transforms & pixmix)
  • Add update package procedure

o-laurent and others added 24 commits May 15, 2023 15:01
@o-laurent
Switch server for the coverage badge πŸ”§
d6731b6 
Increase legibility of the raw Readme
@o-laurent
Slightly improve (Tiny)ImageNet datamodules ✨
2b0ce71
@o-laurent
Slightly improve the documentation πŸ“š
8ba6a6d
@o-laurent
Start the implementation of PixMix ✨ 🚧
3a9a231 
Slightly improve docstrings πŸ“š
@o-laurent
Rename publish workflow πŸ”§
e1cf435
@o-laurent
Merge branch 'main' of github.com:ENSTA-U2IS/torch-uncertainty into dev
a52dcce
@o-laurent
Fix broken link and remove rst warning in docs πŸ“š
5fdea87
@o-laurent
Refactor dummies πŸ”¨
8697194 
Add a dummy network
Make the dummy dataset class more flexible
@o-laurent
Improve the pre-commit hooks πŸ”§
ce66174 
Add the pre-commit-hooks package βž•
Solve the new hooks' issues πŸ’„
Create a contributing page πŸ“š
Add a reference to WR πŸ“–
@alafage
Remove misleading comment in pe_cifar10_tutorial.py πŸ“š
d4232d3
@o-laurent
Merge branch 'main' of github.com:ENSTA-U2IS/torch-uncertainty into dev
bedf5e4
@o-laurent
Add a test for routines βœ…
53d0773 
Add dummy baselines and datamodules ✨
Fix dummy models and datasets πŸ›
@o-laurent
Fix CLI test βž• βœ”οΈ
617a342
@o-laurent
Add large file hook πŸ”§ and rm useless hook file πŸ”₯
af72f16
@o-laurent
Remove useless conditions πŸ”₯
162f16c
@o-laurent
Reorder pre-commit config πŸ”§
31e438c 
Temporary solution for the note issue on the installation page :docs:
@o-laurent
Automated download for CIFAR-C and IN-R ✨
c444aad
@o-laurent
Merge branch 'main' of github.com:ENSTA-U2IS/torch-uncertainty into dev
3420d43
@o-laurent
Add temperature scaling (pp prototype) ✨
b139793
@o-laurent
Fix typo in Readme πŸ›
5e7e950
@o-laurent
Add experiment scripts ✨
c44ba06
@o-laurent
Add same experiments for std ✨
696513e
@o-laurent
Update dependencies to resolve dep.bot issue ⚑
626d3ac
@o-laurent
Fix datamodules (ImageNet + CIFAR H) πŸ›
1ed67e5
@o-laurent o-laurent added the enhancement New feature or request label May 26, 2023
@o-laurent o-laurent self-assigned this May 26, 2023
@o-laurent o-laurent requested a review from alafage May 26, 2023 14:39
@o-laurent
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The current code is acceptable to me for merging.

@codecov-commenter
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Codecov Report

Patch coverage: 91.61% and project coverage change: +5.12 πŸŽ‰

Comparison is base (3576012) 86.75% compared to head (126d9d3) 91.88%.

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Additional details and impacted files 
@@            Coverage Diff             @@
##             main      #24      +/-   ##
==========================================
+ Coverage   86.75%   91.88%   +5.12%     
==========================================
  Files          90       81       -9     
  Lines        3291     3449     +158     
  Branches      231      287      +56     
==========================================
+ Hits         2855     3169     +314     
+ Misses        351      190     -161     
- Partials       85       90       +5
Flag Coverage Ξ”
cpu 91.88% <91.61%> (+5.12%) ⬆️
pytest 91.88% <91.61%> (+5.12%) ⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Ξ”
tests/_dummies/transform.py 100.00% <ΓΈ> (ΓΈ)
...h_uncertainty/baselines/classification/__init__.py 100.00% <ΓΈ> (ΓΈ)
torch_uncertainty/layers/batchens_layers.py 100.00% <ΓΈ> (+2.85%) ⬆️
torch_uncertainty/models/wideresnet/packed.py 93.84% <ΓΈ> (ΓΈ)
torch_uncertainty/models/resnet/packed.py 60.31% <10.81%> (-17.35%) ⬇️
torch_uncertainty/datamodules/cifar10.py 80.72% <20.00%> (-0.53%) ⬇️
torch_uncertainty/datamodules/imagenet.py 63.63% <43.58%> (-3.84%) ⬇️
torch_uncertainty/__init__.py 77.77% <79.16%> (+26.71%) ⬆️
torch_uncertainty/datamodules/tiny_imagenet.py 91.22% <83.33%> (+0.48%) ⬆️
tests/_dummies/baseline.py 93.75% <93.75%> (ΓΈ)
... and 43 more

... and 12 files with indirect coverage changes

β˜” View full report in Codecov by Sentry.
πŸ“’ Do you have feedback about the report comment? Let us know in this issue.

alafage
alafage approved these changes Jun 2, 2023
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I believe the state of this pull request is fine enough to be merged.

@alafage alafage merged commit c4b1aaa into main Jun 2, 2023
@o-laurent o-laurent deleted the dev branch June 2, 2023 17:09
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@alafage alafage alafage approved these changes

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@o-laurent @codecov-commenter @alafage