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* Test against torch RC instead of nightly

Fix prev commit

* Bump version to build against

Use UPLOAD_CHANNEL instead of hardcoding

* Removing cuda 102

Display cuda info

Address comments try to resolve CUDA version issue

More work

Base debugging

Fix cuda version passing

Testing

Adding config.yml

Adding command we use for pytorch vision install

Adding unit tests

Modify install command

Refactor config.in

Move cpu tests to different PR

Remove debug code

Testing similar exception for linux as windows

update test_models.py

Revert "Testing similar exception for linux as windows"

This reverts commit 4aaee0b56376440bb56ecd3efe25b60595a241a5.

Revert "update test_models.py"

This reverts commit 413651a308f68b6801681ddfc2c21201c4df3207.

* Removing debug statement

* Reverting to old command

Fix cuda 11.6 and 11.7

Check nvjpeg from CONDA Path

More cuda11.6

Trying to fix the build

Trying to fix the build

Removing nvjpeg logic

Add NvToolsExt dll path

Fix lint

Not sure, why it wasn't the case before

* add CUDA11.7 builds

* add CUDA 11.7 builds

* run regenerate.py

* try to add filters to binary_win_conda_py3.10_cu117

* rerun regenerate.py

* Removing conda-forge adding cu117 to windows unit tests

* Debug code

* Remove debug code
Co-authored-by: atalman <atalman@fb.com>

* Testing conda metapackage

* Testing

* Testing pytorch-cuda

* Testing

* Testing

* Testing

* Testing

* Testing

* Using new metapackage

* Testing

* Simplifing logic

* Further simplifying

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

Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Adding tagged builds

* Testing

* Testing

* Testing

* Testing

* Adding conda builds

* [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

* remove explicit install of Pillow throughout CI

* explicitly install zlib in windows conda env

* check pillow on Windows

* move check into conda env

* fix

* more debug output

* more debug

* add debug also to linux

* retry w/ and w/o packaging third party library

* tag debug

* more debug

* pin setuptools < 61

* install setuptools from pip

* cleanup

* try remove one more
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Co-authored-by: Nikita Shulga <nshulga@fb.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

To mitigate missing `libcupti.so` dependency

* Add Python-3.10 (build and test)

* Fix functional.adjust_gamma
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Joao Gomes <joaopsgomes@gmail.com>

* Delete stale packaging scripts

`osx_wheel.sh` and `linux_manywheel.sh` has not been functional for a
while and are not referenced from any of the CI scripts

Updated `README.md` to reflect how release binary builds are currently run

* bump version

Co-authored-by: Nikita Shulga <nshulga@fb.com>

* Add CUDA-11.5 builds to torchvision

* Try to fix cudatoolkit issue

* Trying to use cuda11.5 instead of the toolkit

* Trying to rollback last two changes

* Testing

* Using conda-forge only for cuda115 builds

* Fix typo

* Revert "[FBcode->GH] remove unused requests functionality (#5014)"

This reverts commit 33123bee.

* Revert "replace requests with urllib (#4973)"

This reverts commit 8d25de7b.

* add requests as hard dependency

* install library stubs in CI

* fix syntax

* add requests to conda dependencies

* fix mypy CI

Otherwise, it `setuptools.py`  will try to install latest, which is not compatible with Python runtime older than 3.8

Fixes https://github.com/pytorch/vision/issues/4985

Co-authored-by: Philip Meier <github.pmeier@posteo.de>

Cherry-pick pkg_helper changes from https://github.com/pytorch/audio/commit/0f8443050bd6ce402f939ef6876fccf1a2dacf16 (#4944)

Add CUDA_HOME to PATH to fix Cmake builds
Define `FORCE_CUDA` only when CUDA_PATH is present (or if RocM)

Co-authored-by: Nikita Shulga <nshulga@fb.com>

Co-authored-by: Nicolas Hug <nicolashug@fb.com>

Relocate fails to find nvjpeg unless its present in the library search path.

* fix cuda installation failure in packaging

* rm stop windows upgrade

* Update cuda_install.bat
Co-authored-by: Nikita Shulga <nshulga@fb.com>

GPU tests have special step to install the driver, CUDA install step shouldl just install the runtime
never

Fixes regression introduced by https://github.com/pytorch/vision/pull/4421

* Move TorchVision conda package to use pytorch-mutex

This is follow up after https://github.com/pytorch/builder/pull/823

 that gets rids of `feature` and migrate it to `run_constrained`

* Update packaging/torchvision/meta.yaml
Co-authored-by: Eli Uriegas <1700823+seemethere@users.noreply.github.com>

* Update packaging/torchvision/meta.yaml
Co-authored-by: Eli Uriegas <1700823+seemethere@users.noreply.github.com>
Co-authored-by: Eli Uriegas <1700823+seemethere@users.noreply.github.com>

Co-authored-by: Jane (Yuan) Xu <31798555+janeyx99@users.noreply.github.com>

* 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>

* enable cuda for unittest

* add one check

* rename

* minor fix

* add more check

* add cuda envs

* add more cuda envs

* add driver update

* update vs integration

* get cuda version

* merge

* add envs in install.sh

* reduce some change and add comments

* minor improve

* fix typo

* exit if driver update failed

* fix lint

* fix lint

* Avoid catching exception to show error message

* try 11.1

* try 11.1

* "try 11.1"

* set the downloaded gpu driver dlls only for 10.2

* check torch.cuda.is_available()

* add display.driver

* Revert "Avoid catching exception to show error message"

This reverts commit 1ce58c50de9fefcc3438d29ff398b941f9b6a757.

* Update .circleci/unittest/windows/scripts/set_cuda_envs.sh

* Update .circleci/unittest/windows/scripts/set_cuda_envs.sh

* Update .circleci/unittest/windows/scripts/set_cuda_envs.sh
Co-authored-by: Nicolas Hug <nicolashug@fb.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Nikita Shulga <nikita.shulga@gmail.com>
Co-authored-by: Nikita Shulga <nshulga@fb.com>

`import torchvision` fails if numpy is not installed, so it should have
an explicit dependency on it (which is already the case for wheel
package)