GitLab

* [Nova] Migrate Linux CPU job to Generic Job

* branch ref for composite action job

* move checkout step to separate job

* added runs-on

* nit fixes

* no need to run conda sheel script thing

* Channel is set inside the script

* add remaining env vars

* nit env var fix

* cleanup

* simplify unneeded jobs

* name of the conda env should be the path

* remove main ref to use PR

* pin pyav to <10

* pin av in GHA workflows as well

* also pin in M1 workflow

* [Nova][WIP] Add Linux CPU Unittests for Torchvision

* use conda-builder image since conda installation is needed

* install torch dep with conda instead

* use circleCI command to run tests

* larger instance to avoid OOM issues

* proper syntax for self-hosted runners

* 4xlarge instance

* 8xlarge

* 12xlarge

* use setup-miniconda job

* add back PATH change to help setup py detect conda

* run conda shell script

* install other deps up front

* git config and undo path change

* revert to local conda install

* conda-builder image

* support for whole python version matrix

* clean up the conda env once we are done with the job

* prevent feature wrapping if the feature is not the primary operand

* explicitly add feature tests to CI

* add coverage to prototype tests CI

* line continuation

* reduce verbosity of prototype tests and split them into multiple steps

* rename builtin datasets module to fit common scheme

* shlex -> shutil

* [SKIP CI]

* [skip ci]
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Added mid-level ops and feature-based ops

* Fixing deadlock in dataloader with circular imports

* Added non-scalar fill support workaround for pad

* Removed comments

* int/float support for fill in pad op

* Updated type hints and removed bypass option from mid-level methods

* Minor nit fixes

* Make sure we are building against test chanell for release

* Cleanup

* Cleanup

* Refactoring logic

* Remove tagged tests

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

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

* Adding tagged builds

* Testing

* Testing

* Testing

* Testing

* Adding conda builds

By passing `--pre` option to `pip install`, otherwise torchvision were always tested against last PyTorch release

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)"`

* 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

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

* [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

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

* add Windows and macOS CI jobs for prototype tests

* fix CircleCI config

* cleanup

* use 3.8 as base to surface errors

* try using bash explicitly

* cleanup

* try test reports

* debug

* disable CircleCI

* add write permissions for write

* expand permissions

* try move permissions on job rather than global

* debug

* always debug

* maximum permissions

* cleanup

* cleanup

* adding PR template

* update

* Update PULL_REQUEST_TEMPLATE.md

* Update PULL_REQUEST_TEMPLATE.md

* Update .github/PULL_REQUEST_TEMPLATE.md
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

Removed pandas references from the repo

* add ufmt as code formatter

* cleanup

* quote ufmt requirement

* split imports into more groups

* regenerate circleci config

* fix CI

* clarify local testing utils section

* use ufmt pre-commit hook

* split relative imports into local category

* Revert "split relative imports into local category"

This reverts commit f2e224cde2008c56c9347c1f69746d39065cdd51.

* pin black and usort dependencies

* fix local test utils detection

* fix ufmt rev

* add reference utils to local category

* fix usort config

* remove custom categories sorting

* Run pre-commit without fixing flake8

* got a double import in merge
Co-authored-by: Nicolas Hug <nicolashug@fb.com>