GitLab

* Add tuple of atomic masses

* Add get_atomic_masses function, to get masses from periodic table indices (znumbers)

* Fix bug that prevented using ASE together with periodic_table_index

* ASE has to know if the model has PTI or not

* Allow for models that don't have a periodic_table_index attribute

* now vibrational analysis can be computed without explicit masses if periodic_table_index=True

* Add atomic masses calculator to docs

* flake8

* flake8

* flake8
Co-authored-by: Gao, Xiang <qasdfgtyuiop@gmail.com>

* Add warning to ChemicalSymbolsToInts

* Change ocurrences of ChemicalSymbolsToInts in the code to reflect safe usage

* flake8

* Add warning to call also

* Add clarification

* docs dont fetch magic functions so documentation is moved to the class docstring

* fix clarification

* flake8

* bypass slow code

* delete reference to all_atoms which was unused

* delete whitespace

* make flake8 happy

* rerun

* actual change was off

* typo did not turn on bypassing code

* Add CODATA and IUPAC unit conversion factors

* Add units to main module

* change neurochem and training-benchmark to use the new hartree2kcalmol conversion

* change training-benchmark to use hartree2kcalmol conversion

* change comp6 to use the new hartree2kcalmol conversion

* change training-benchmark without nsys to also use hartree2kcalmol conversion

* change examples to use hartree2kcalmol conversion

* Rename ase to ase_ani to avoid naming conflicts that come from naming internal module the same as an external one we are using

* fix import

* Add ASE's hartree_to_ev conversion to compare with codata 2018

* Standarize our units to be essentially the same as ASE and CODATA 2014

* Change vibration_analysis to use the consistent constants

* Fix explanation in docstring

* Add millieV conversion factor

* Add millieV conversion factor to vibrational analysis

* Add clarification

* flake8

* revert name change

* Fix typo in function name

* Add units to __all__'

* Improve units docstring and comments in preparation for docs

* delete pad from docs

* Add units to api.rst

* minor formatting of docstrings and comments

* Add functions into the API

* final formatting changes

* flake8

* try to make mypy happy

* Checking if mypy prefers this

* rerun

* Add force constants, reduced masses and normalized normal modes to vibrational analysis

* Formatting to make flake8 happy

* Improvements on docs

* Add tips

* add example to customize JIT models

* cleanup

* fix list

* Update jit.py

* Support  periodic table Indexing in builtin models

* flake8

* more

* fix

* fix cuda

* Allow passing pbc and cell to sequential

* revert

* Simplify ase interface

* fix

* fix

* fix

* flake8

* Update ase.py

* fix

* Use namedtuple to improve API

* improve

* Remove ignite

* remove neurochem-test

* remove cache-aev

* 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

* split

* split

* fix

* fix

* -v

* more

* more

* fix

* fix

* flake8

* transform

* reduce testBenzeneMD

* version

* reduce number of epoches

* further reduce time

* Update docs.yml

* outlier removal process fixed

* remove outlier energies if exist

* Update nnp_training to have identical setup to NC

* fix

* add LR decay scheduler for both optimizers

* fix

* update example files

* fix

* fix

* Update nnp_training to have identical setup to NC

* fix

* add LR decay scheduler for both optimizers

* fix

* Port to torch.bool data type where it should be

* more

* more

* fix snoop

* hopefully fixed

* fix ignite

* remove snoop

* flake8

* using least-squares to compute atomic self energies from the dataset

* self atomic energy calculation in the example training file

Being 1 does not work well

Add AdamW optimizer, Add docs of nnp training to train a real ANI-1x model, remove h5py and ignite from dependencies, rename MAEMetric -> MaxAEMetric, use torch.utils.tensorboard to replace tensorboardX (#224)

* add ANI model zoo

* Update cache_aev.py

Set timeout for CI builds, increase print freq for ase example