GitLab

* update

* rm

* update

* update

* update

* ase test atolerent

* preparation

* radial preparation 30%

* radial backward kernel done

* reuse Gmr (exp part) result for gradient

* radial kernel every block run by column major, to avoid atomicAdd waiting

* apply code review

* static_cast

* implicit cast

* format

* angular preparation

* angular backward works, but slow, AtomicAdd should be avoided

* angular opti: use share memory to avoid AtomicAdd

* format

* equation optimization

* remove unnecessary shared mem for atomi

* remove a lot (warpsize * nbr) unnecessary shared mem for atomj

* format

* update

* clean

* fix

* fix

* test file

* fix
Co-authored-by: Gao, Xiang <qasdfgtyuiop@gmail.com>

* cuda port for aev computation

* benchmark, setup and import

* fix bug

* fix flake8 and jit

* fix collections.abc for python>3.7

* setup gitingore

* format code with formatter

* ignore more

* Use torch API to set streams

* Use pytorch's caching allocator

* empty line

* fix

* cuaev correntness testr, instruction of install on readme

* readme

* fix readme

* fix readme

* fix readme

* fix readme

* add usage in readme

* fix readme

* add test in readme

* fix readme

* -std=c++14

* bug fix - add async data copy

* bug fix - add missing stream sync

* code refactor and cosmetic changes

* aev benchmark for big protein

* remove mdtraj

* remove print

* move pdb to dataset folder

* cosmetic changes

* Move torchani/extensions -> torchani/cuaev

* clang-format -i

* cleanup

* return aev from cuComputeAEV

* Update aev.py

* Update aev.py

* fix flake8

* fix LGTM unused local variable

* clang-format

* fix

* save

* install change
Co-authored-by: richard <yueyericardo@gmail.com>
Co-authored-by: Xiang Gao <qasdfgtyuiop@gmail.com>

* More about cuaev

* Update setup.py

* save

* clang-format

* Use PyTorch's TestCase to compare tensor

* save

* save

* save

* save

* save

* save

* save

* save

* save

* Update test_energies.py

* Update test_ase.py

* save

* flake8

* Make CUDA extension TorchScript compatible

* save

* save

* fix

* save

* save

* save

* save

* Update install_dependencies.sh

* trigger ci

* save

* fix

* save

* save

* save

* save

* try

* fix

* revert

* save

* save

* mypy

* 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>