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* Add dummy cuda extension build

* save

* run tests

* save

* fix

* pytorch cu110

* no vision

* save

* nl

* save

* save

* save

* save

* save

* save

* save

* autopep8

* more autopep8

* optional=True

* no todo

* fix

* refactor ci

* mypy

* save

* flake8

* os error

* Run cuaev test

* save

* clang format

* Delete delete-me.cu

* Search for cub in pytorch include paths

* nl

* instructions on test

* Add better handle cuaev install/not install

* test_cuaev.py

* clean

* fix
Co-authored-by: Farhad Ramezanghorbani <farhadrgh@users.noreply.github.com>

* Add badge to display stable torch compatibility

* more

* more

* don't run on PR

* nl

* Move unittest check to GitHub Actions

Tests are parallelized

* Delete tests.yml

* Update setup.py

* Create test_requirements.txt

* Update unittest.yml

* Update unittest.yml

* Update README.md

* Delete install_dependencies.sh

* Delete install_dependencies_python2.sh

* Update unittest.yml