Fix typo in GHA nightly build condition #6158
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
s#ref/heads/#refs/heads/# I should have noticed it while copy-n-pasting the condition. Unfortunately there are no way to test is other than in prod, but nightly builds are still not getting pushed, see https://github.com/pytorch/vision/runs/6860407007?check_suite_focus=true for example
|
Hey @malfet! You merged this PR, but no labels were added. The list of valid labels is available at https://github.com/pytorch/vision/blob/main/.github/process_commit.py |
NicolasHug
added a commit
to YosuaMichael/vision
that referenced
this pull request
Jun 13, 2022
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
This was referenced Jun 13, 2022
facebook-github-bot
pushed a commit
to pytorch/audio
that referenced
this pull request
Jun 13, 2022
Summary: Fix typo in nightly m1 ref See: pytorch/vision#6158 Pull Request resolved: #2474 Reviewed By: malfet, mthrok Differential Revision: D37117637 Pulled By: atalman fbshipit-source-id: 2a8f7b5bf3506f2a53884424799919137870a0ad
atalman
added a commit
to atalman/audio
that referenced
this pull request
Jun 13, 2022
Summary: Fix typo in nightly m1 ref See: pytorch/vision#6158 Pull Request resolved: pytorch#2474 Reviewed By: malfet, mthrok Differential Revision: D37117637 Pulled By: atalman fbshipit-source-id: 2a8f7b5bf3506f2a53884424799919137870a0ad
atalman
added a commit
to atalman/audio
that referenced
this pull request
Jun 13, 2022
Summary: Fix typo in nightly m1 ref See: pytorch/vision#6158 Pull Request resolved: pytorch#2474 Reviewed By: malfet, mthrok Differential Revision: D37117637 Pulled By: atalman fbshipit-source-id: 2a8f7b5bf3506f2a53884424799919137870a0ad
atalman
added a commit
to pytorch/audio
that referenced
this pull request
Jun 13, 2022
Summary: Fix typo in nightly m1 ref See: pytorch/vision#6158 Pull Request resolved: #2474 Reviewed By: malfet, mthrok Differential Revision: D37117637 Pulled By: atalman fbshipit-source-id: 2a8f7b5bf3506f2a53884424799919137870a0ad
atalman
pushed a commit
to atalman/vision
that referenced
this pull request
Jun 14, 2022
s#ref/heads/#refs/heads/# I should have noticed it while copy-n-pasting the condition. Unfortunately there are no way to test is other than in prod, but nightly builds are still not getting pushed, see https://github.com/pytorch/vision/runs/6860407007?check_suite_focus=true for example
NicolasHug
added a commit
that referenced
this pull request
Jun 15, 2022
* Add M1 wheels binary builds (#5948) * [M1] Set build version and delocate wheels (#6110) This would package libpng and libjpeg.dylib into wheel files Add a very simple test step, copied from https://github.com/pytorch/pytorch.github.io/blob/1eaa33a3d3f1b83b64c5031c6dd04dbb238d6105/scripts/test_install.py#L78 Cherry-picked from https://github.com/pytorch/builder/blob/d0bc74cc363a9da5a8b6a40e883d40d25d050036/build_m1_domains.sh#L22 * [BE] Unify version computation (#6117) * [BE] Unify version computation Instead of hardcoding dev version in various script, use one from `version.txt` if `setup_build_version` is called without arguments Also, pass `--pre` option to M1 build/test pip install commands to build TorchVision against nightly pytorch * Pin torchvision dependency to a specific pytorch version * [M1] Install "jpeg<=9b" rather than OpenJpeg (#6122) Explicitly set PATH to point to `conda` binary, otherwise libjpeg detection logic does not work Pin libjpeg to the same version on x86 and m1 Add simple tests that jpeg can be decoded by a generated wheel * Add unit-tests for M1 (#6132) * Add M1 testing job * libjpeg -> jpeg<=9b in test-m1.yml * Added export PATH=~/miniconda3/bin... from 6122 * Tests were OK, let's see if we can remove the pinning * GH: Add M1 conda build workflows (#6135) Clean up Conda build folder before every run Enable artifact upload to GitHub for every workflow run, but upload to Conda/S3 only on nightly pushes Test plan: `conda install -c pytorch-nightly torchvision; python -c "import torchvision;print(torchvision.io.read_image('hummingbird.jpg').shape)"` * Fix `Test M1` workflow By passing `--pre` option to `pip install`, otherwise torchvision were always tested against last PyTorch release * Adding tagged builds for M1 (#6140) * Adding tagged builds * Testing * Testing * Testing * Testing * Adding conda builds * Fix `if` condition for s3/conda uploads (#6146) Replace `steps.extract_branch.outputs.branch` (which were probably taken from https://stackoverflow.com/questions/58033366/how-to-get-the-current-branch-within-github-actions ) with straightforward `github.event.ref` Tested in https://github.com/malfet/deleteme/runs/6822647720?check_suite_focus=true and https://github.com/malfet/deleteme/runs/6822691158?check_suite_focus=true * Fix typo in GHA nightly build condition (#6158) s#ref/heads/#refs/heads/# I should have noticed it while copy-n-pasting the condition. Unfortunately there are no way to test is other than in prod, but nightly builds are still not getting pushed, see https://github.com/pytorch/vision/runs/6860407007?check_suite_focus=true for example * Making sure we are building against release * Testing Testing Testing Testing testing Testing Testing Testing Testing Testing Testing Testing * Testing * Testing * Cleanup * Refactoring logic Co-authored-by: Nikita Shulga <nshulga@fb.com> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
NicolasHug
added a commit
to NicolasHug/vision
that referenced
this pull request
Jun 16, 2022
Summary: s#ref/heads/#refs/heads/# I should have noticed it while copy-n-pasting the condition. Unfortunately there are no way to test is other than in prod, but nightly builds are still not getting pushed, see https://github.com/pytorch/vision/runs/6860407007?check_suite_focus=true for example Differential Revision: D37212659 fbshipit-source-id: 4d9f599dbf8985d2e881c76b7e074c3af7562c8c
facebook-github-bot
pushed a commit
that referenced
this pull request
Jun 17, 2022
Summary: s#ref/heads/#refs/heads/# I should have noticed it while copy-n-pasting the condition. Unfortunately there are no way to test is other than in prod, but nightly builds are still not getting pushed, see https://github.com/pytorch/vision/runs/6860407007?check_suite_focus=true for example Reviewed By: datumbox Differential Revision: D37212659 fbshipit-source-id: ccd5a9bb5841b2132a53c23a7273f3ada8cdb1ed
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
s#ref/heads/#refs/heads/#
I should have noticed it while copy-n-pasting the condition. Unfortunately there are no way to test is other than in prod, but nightly builds are still not getting pushed, see https://github.com/pytorch/vision/runs/6860407007?check_suite_focus=true for example