Deploy instructions

Edit gpytorch/__init__.py and bump up the version number (e.g. 0.1.0.rc3)
If necessary: update the minimum PyTorch version:
- In setup.py
- In README.md
- In requirements.txt
- In .github/workflows/*.yml
- In .conda/meta.yaml
Commit the bumped version number + updated dependencies to master
Create a tag with the release name and push it (e.g. git tag 0.1.0.rc3 && git push origin 0.1.0.rc3)
On Github, update the new release with some release notes. Include major new features and bug fixes.

That should be it! The deploy actions should take care of the rest.

If the deploy script fails...

Go to the RTD admin page for GPyTorch and click on the "Versions" tab
Find the latest tag under "Activate a Version", and click the "Activate" button. Check the "active" check box.
Under "Admin > Advanced Settings", change the default version to the latest version.

Locally create a packaged version (python setup.py sdist)
Upload the latest package to PyPI (twine upload dist/gpytorch-<version_number>.tar.gz)

Make sure you have conda-build installed: conda install conda-build
Let the meta.yaml file know about the pytorch channel conda config --append channels pytorch
Change in to the .conda directory: cd .conda
Run conda-build . in the .conda directory
Upload the latest package to Anaconda Cloud using the command printed out at the end of conda-build.