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V0.2.0 release changelog, pyproject.toml update, codecov fix #148
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## v0.0.1 | ||
## v0.2.0 | ||
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Initial release. | ||
### Bug Fixes 🐛 | ||
* Fix integrate reporting kwarg to arg error, https://github.com/Radical-AI/torch-sim/issues/113 (raised by @hn-yu) | ||
* Allow runners to take large initial batches, https://github.com/Radical-AI/torch-sim/issues/128 (raised by @YutackPark) | ||
* Add Fairchem model support for PBC, https://github.com/Radical-AI/torch-sim/issues/111 (raised by @ryanliu30) | ||
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### Enhancements 🛠 | ||
* **[breaking]** Rename `HotSwappingAutobatcher` to `InFlightAutobatcher` and `ChunkingAutoBatcher` to `BinningAutoBatcher`, https://github.com/Radical-AI/torch-sim/pull/143 @orionarcher | ||
* Support for Orbv3, https://github.com/Radical-AI/torch-sim/pull/140, @AdeeshKolluru | ||
* Support metatensor models, https://github.com/Radical-AI/torch-sim/pull/141, @frostedoyter @Luthaf | ||
* Support for graph-pes models, https://github.com/Radical-AI/torch-sim/pull/118 @jla-gardner | ||
* Support MatterSim and fix ASE cell convention issues, https://github.com/Radical-AI/torch-sim/pull/112 @CompRhys | ||
* Implement positions only FIRE optimization, https://github.com/Radical-AI/torch-sim/pull/139 @abhijeetgangan | ||
* Allow different temperatures in batches, https://github.com/Radical-AI/torch-sim/pull/123 @orionarcher | ||
* FairChem model updates: PBC handling, test on OMat24 e-trained model, https://github.com/Radical-AI/torch-sim/pull/126 @AdeeshKolluru | ||
* FairChem model from_data_list support, https://github.com/Radical-AI/torch-sim/pull/138 @ryanliu30 | ||
* New correlation function module, https://github.com/Radical-AI/torch-sim/pull/115 @stefanbringuier | ||
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### Documentation 📖 | ||
* Imoved model documentation, https://github.com/Radical-AI/torch-sim/pull/121 @orionarcher | ||
* Plot of TorchSim module graph in docs, https://github.com/Radical-AI/torch-sim/pull/132 @janosh | ||
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[contributors]: <> (CONTRIBUTOR SECTION) | ||
[abhijeetgangan]: https://github.com/abhijeetgangan | ||
[orionarcher]: https://github.com/orionarcher | ||
[janosh]: https://github.com/janosh | ||
[AdeeshKolluru]: https://github.com/AdeeshKolluru | ||
[CompRhys]: https://github.com/CompRhys | ||
### House-Keeping 🧹 | ||
* Only install HF for fairchem tests, https://github.com/Radical-AI/torch-sim/pull/134 @CompRhys | ||
* Don't download MBD in CI, https://github.com/Radical-AI/torch-sim/pull/135 @orionarcher | ||
* Tighten graph-pes test bounds, https://github.com/Radical-AI/torch-sim/pull/143 @orionarcher | ||
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## v0.1.0 | ||
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Initial release. |
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[project] | ||
name = "torch_sim_atomistic" | ||
version = "0.1.0" | ||
version = "0.2.0" | ||
description = "A pytorch toolkit for calculating material properties using MLIPs" | ||
authors = [ | ||
{ name = "Abhijeet Gangan", email = "abhijeetgangan@g.ucla.edu" }, | ||
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@@ -47,9 +47,7 @@ test = [ | |
mace = ["mace-torch>=0.3.11"] | ||
mattersim = ["mattersim>=0.1.2"] | ||
metatensor = ["metatensor-torch >=0.7,<0.8", "metatrain[pet] >=2025.4"] | ||
orb = [ | ||
"orb-models@git+https://github.com/orbital-materials/orb-models#egg=637a98d49cfb494e2491a457d9bbd28311fecf21", | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Was there a reason why the Orb version pinned? Otherwise look good. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. it was pinned because they released parts of the v3 code around 2 weeks before cutting v3 release and sharing the new models. It was being pinned to the repo so that we could write the model around the new orb tooling in the knowledge v3 was coming. |
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] | ||
orb = ["orb-models>=0.5.2"] | ||
sevenn = ["sevenn>=0.11.0"] | ||
graphpes = ["graph-pes>=0.0.34", "mace-torch>=0.3.11"] | ||
docs = [ | ||
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v5.4.2 is out so we can revert to v5 to get later releases
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Great, I can sneak this in to a future PR