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[CI] Add PyTorch 1.9 and Python 3.9 build workflow, and remove some CI. #422

Merged
merged 3 commits into from
Sep 1, 2021
Merged

[CI] Add PyTorch 1.9 and Python 3.9 build workflow, and remove some CI. #422

merged 3 commits into from
Sep 1, 2021

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mzr1996
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@mzr1996 mzr1996 commented Aug 26, 2021

Motivation

Refers to open-mmlab/mmcv#1291 and open-mmlab/mmcv#1141

Modification

As the title.

BC-breaking (Optional)

No

Checklist

Before PR:

  • Pre-commit or other linting tools are used to fix the potential lint issues.
  • Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests.
  • The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
  • The documentation has been modified accordingly, like docstring or example tutorials.

After PR:

  • If the modification has potential influence on downstream or other related projects, this PR should be tested with those projects, like MMDet or MMSeg.
  • CLA has been signed and all committers have signed the CLA in this PR.

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codecov bot commented Aug 26, 2021

Codecov Report

Merging #422 (8873167) into master (6a0a76a) will not change coverage.
The diff coverage is n/a.

❗ Current head 8873167 differs from pull request most recent head 21c2f0e. Consider uploading reports for the commit 21c2f0e to get more accurate results
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@@           Coverage Diff           @@
##           master     #422   +/-   ##
=======================================
  Coverage   76.73%   76.73%           
=======================================
  Files          97       97           
  Lines        5240     5240           
  Branches      862      862           
=======================================
  Hits         4021     4021           
  Misses       1098     1098           
  Partials      121      121
Flag Coverage Δ
unittests 76.73% <ø> (ø)

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Ezra-Yu
Ezra-Yu approved these changes Sep 1, 2021
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LGTM.

@mzr1996 mzr1996 merged commit 5aa132a into open-mmlab:master Sep 1, 2021
Ezra-Yu pushed a commit to zhangrui-wolf/mmclassification that referenced this pull request Sep 7, 2021
@mzr1996 @Ezra-Yu
[CI] Add PyTorch 1.9 and Python 3.9 build workflow, and remove some C…
69eb08f 
…I. (open-mmlab#422)

* Add PyTorch 1.9 build workflow, and remove some CI.

* Add Python 3.9 CI

* Show Python 3.9 support.
mzr1996 added a commit that referenced this pull request Sep 29, 2021
@zhangrui-wolf @Ezra-Yu @mzr1996
[Feature] Add RepVGG backbone and checkpoints. (#414)
90496b4 
* Add RepVGG code.

* Add se_module as plugin.

* Add the repvggA0 primitive config

* Change repvggA0.py to fit mmcls

* Add RepVGG configs

* Add repvgg_to_mmcls

* Add tools/deployment/convert_repvggblock_param_to_deploy.py

* Change configs/repvgg/README.md

* Streamlining the number of configuration files.

* Fix lints

* Delete plugins

* Delete code about plugin.

* Modify the code for using se module.

* Modify config to fit repvgg with se.

* Change se_cfg to allow loading of pre-training parameters.

* Reduce the complexity of the configuration file.

* Finsh unitest for repvgg.

* Fix bug about se in repvgg_to_mmcls.

* Rename convert_repvggblock_param_to_deploy.py to reparameterize_repvgg.py, and delete setting about device.

* test commit

* test commit

* test commit command

* Modify repvgg.py to make the code more readable.

* Add value=0 in F.pad()

* Add se_cfg to arch_settings.

* Fix bug.

* modeify some attr name and Update unit tests

* rename stage_0 to stem and branch_identity to branch_norm

* update unit tests

* add m.eval in unit tests

* [Enhance] Enhence SE layer to support custom squeeze channels. (#417)

* add enhenced SE

* Update

* rm basechannel

* fix docstring

* Update se_layer.py

fix docstring

* [Docs] Add algorithm readme and update meta yml (#418)

* Add README.md for models without checkpoints.

* Update model-index.yml

* Update metafile.yml of seresnet

* [Enhance] Add `hparams` argument in `AutoAugment` and `RandAugment` and some other improvement. (#398)

* Add hparams argument in `AutoAugment` and `RandAugment`.

And `pad_val` supports sequence instead of tuple only.

* Add unit tests for `AutoAugment` and `hparams` in `RandAugment`.

* Use smaller test image to speed up uni tests.

* Use hparams to simplify RandAugment config in swin-transformer.

* Rename augment config name from `pipeline` to `pipelines`.

* Add some commnet ad docstring.

* [Feature] Support classwise weight in losses (#388)

* Add classwise weight in losses:CE,BCE,softBCE

* Update unit test

* rm some extra code

* rm some extra code

* fix broadcast

* fix broadcast

* update unit tests

* use new_tensor

* fix lint

* [Enhance] Better result visualization (#419)

* Imporve result visualization to support wait time and change the backend
to matplotlib.

* Add unit test for visualization

* Add adaptive dpi function

* Rename `imshow_cls_result` to `imshow_infos`.

* Support str in `imshow_infos`

* Improve docstring.

* Bump version to v0.15.0 (#426)

* [CI] Add PyTorch 1.9 and Python 3.9 build workflow, and remove some CI. (#422)

* Add PyTorch 1.9 build workflow, and remove some CI.

* Add Python 3.9 CI

* Show Python 3.9 support.

* [Enhance] Rename the option `--options` in some tools to `--cfg-options`. (#425)

* [Docs] Fix sphinx version (#429)

* [Docs] Add `CITATION.cff` (#428)

* Add CITATION.cff

* Fix typo in setup.py

* Change author in setup.py

* modeify some attr name and Update unit tests

* rename stage_0 to stem and branch_identity to branch_norm

* update unit tests

* add m.eval in unit tests

* Update unit tests

* refactor

* refactor

* Alignment inference accuracy

* Update configs, readme and metafile

* Update readme

* return tuple and fix metafile

* fix unit test

* rm regnet and classifiers changes

* update auto_aug

* update metafile & readme

* use delattr

* rename cfgs

* Update checkpoint url

* Update readme

* Rename config files.

* Update readme and metafile

* add comment

* Update mmcls/models/backbones/repvgg.py

Co-authored-by: Ma Zerun <[email protected]>

* Update docstring

* Improve docstring.

* Update unittest_testblock

Co-authored-by: Ezra-Yu <[email protected]>
Co-authored-by: Ma Zerun <[email protected]>
mzr1996 added a commit to mzr1996/mmpretrain that referenced this pull request Nov 24, 2022
@mzr1996
[CI] Add PyTorch 1.9 and Python 3.9 build workflow, and remove some C…
6f75ad3 
…I. (open-mmlab#422)

* Add PyTorch 1.9 build workflow, and remove some CI.

* Add Python 3.9 CI

* Show Python 3.9 support.
mzr1996 added a commit to mzr1996/mmpretrain that referenced this pull request Nov 24, 2022
@zhangrui-wolf @Ezra-Yu @mzr1996
[Feature] Add RepVGG backbone and checkpoints. (open-mmlab#414)
337d7bd 
* Add RepVGG code.

* Add se_module as plugin.

* Add the repvggA0 primitive config

* Change repvggA0.py to fit mmcls

* Add RepVGG configs

* Add repvgg_to_mmcls

* Add tools/deployment/convert_repvggblock_param_to_deploy.py

* Change configs/repvgg/README.md

* Streamlining the number of configuration files.

* Fix lints

* Delete plugins

* Delete code about plugin.

* Modify the code for using se module.

* Modify config to fit repvgg with se.

* Change se_cfg to allow loading of pre-training parameters.

* Reduce the complexity of the configuration file.

* Finsh unitest for repvgg.

* Fix bug about se in repvgg_to_mmcls.

* Rename convert_repvggblock_param_to_deploy.py to reparameterize_repvgg.py, and delete setting about device.

* test commit

* test commit

* test commit command

* Modify repvgg.py to make the code more readable.

* Add value=0 in F.pad()

* Add se_cfg to arch_settings.

* Fix bug.

* modeify some attr name and Update unit tests

* rename stage_0 to stem and branch_identity to branch_norm

* update unit tests

* add m.eval in unit tests

* [Enhance] Enhence SE layer to support custom squeeze channels. (open-mmlab#417)

* add enhenced SE

* Update

* rm basechannel

* fix docstring

* Update se_layer.py

fix docstring

* [Docs] Add algorithm readme and update meta yml (open-mmlab#418)

* Add README.md for models without checkpoints.

* Update model-index.yml

* Update metafile.yml of seresnet

* [Enhance] Add `hparams` argument in `AutoAugment` and `RandAugment` and some other improvement. (open-mmlab#398)

* Add hparams argument in `AutoAugment` and `RandAugment`.

And `pad_val` supports sequence instead of tuple only.

* Add unit tests for `AutoAugment` and `hparams` in `RandAugment`.

* Use smaller test image to speed up uni tests.

* Use hparams to simplify RandAugment config in swin-transformer.

* Rename augment config name from `pipeline` to `pipelines`.

* Add some commnet ad docstring.

* [Feature] Support classwise weight in losses (open-mmlab#388)

* Add classwise weight in losses:CE,BCE,softBCE

* Update unit test

* rm some extra code

* rm some extra code

* fix broadcast

* fix broadcast

* update unit tests

* use new_tensor

* fix lint

* [Enhance] Better result visualization (open-mmlab#419)

* Imporve result visualization to support wait time and change the backend
to matplotlib.

* Add unit test for visualization

* Add adaptive dpi function

* Rename `imshow_cls_result` to `imshow_infos`.

* Support str in `imshow_infos`

* Improve docstring.

* Bump version to v0.15.0 (open-mmlab#426)

* [CI] Add PyTorch 1.9 and Python 3.9 build workflow, and remove some CI. (open-mmlab#422)

* Add PyTorch 1.9 build workflow, and remove some CI.

* Add Python 3.9 CI

* Show Python 3.9 support.

* [Enhance] Rename the option `--options` in some tools to `--cfg-options`. (open-mmlab#425)

* [Docs] Fix sphinx version (open-mmlab#429)

* [Docs] Add `CITATION.cff` (open-mmlab#428)

* Add CITATION.cff

* Fix typo in setup.py

* Change author in setup.py

* modeify some attr name and Update unit tests

* rename stage_0 to stem and branch_identity to branch_norm

* update unit tests

* add m.eval in unit tests

* Update unit tests

* refactor

* refactor

* Alignment inference accuracy

* Update configs, readme and metafile

* Update readme

* return tuple and fix metafile

* fix unit test

* rm regnet and classifiers changes

* update auto_aug

* update metafile & readme

* use delattr

* rename cfgs

* Update checkpoint url

* Update readme

* Rename config files.

* Update readme and metafile

* add comment

* Update mmcls/models/backbones/repvgg.py

Co-authored-by: Ma Zerun <[email protected]>

* Update docstring

* Improve docstring.

* Update unittest_testblock

Co-authored-by: Ezra-Yu <[email protected]>
Co-authored-by: Ma Zerun <[email protected]>
@mzr1996 mzr1996 deleted the CI-torch19 branch December 7, 2022 02:08
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