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* 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>