GitLab

Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* 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

* Testing conda metapackage

* Testing

* Testing pytorch-cuda

* Testing

* Testing

* Testing

* Testing

* Testing

* Using new metapackage

* Testing

* Simplifing logic

* Further simplifying

To mitigate missing `libcupti.so` dependency

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

* improve download nightly pytorch

* update unitest cuda to 11.3

* add nvjpeg in cuda 11.3

* avoid catching exception

* restore to cu111

* Update install.sh

* use conda MatchSpec string

* update linux

* for linux

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

* add CI job for prototype tests

* register prototype job

* fix torchvision installation

* fix test invocation

* ignore prototype tests in normal unittests
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* add torchdata as prototype dependency

* ignore torchdata for mypy

* move git dependency out of conda environment file

* try unsetting PYTORCH_VERSION env var

* cleanup

* move installation of torchdata after installtion of PyTorch

* regenerate circlci config

* remove branch from torchdata download link
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Fix inconsistent version pinning across yaml files.

* Pin pillow to >=5.3.0

* Pin pillow>=5.3.0 everywhere

* refactor test_models to use pytest

* Also xfail the detection models

* Remove xfail and just comment out expected failing parts

* Comment out some more

* put back commented checks

* cleaning + comment

* docs

* void unnecessary changes

* r2plus1d_18 seems  to segfault on linux gpu??

* put back test, failure is unrelated
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* bump to 5.3.0

* Also make 3.6 CI runs rely on 5.3.0

(cherry picked from commit 2f40a483d73018ae6e1488a484c5927f2b309969)
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

Co-authored-by: Francisco Massa <fvsmassa@gmail.com>