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Releases: aiqm/torchani

TorchANI 2.7.9

17 Nov 05:32

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Final test for automated releases

TorchANI 2.7.8

17 Nov 05:28

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Just making sure release triggers are run

TorchANI 2.7.7

17 Nov 05:16

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Minor modifications. This release is mostly to set up automated releases published to PyPI, and documentation.

What's Changed

Full Changelog: 2.7.6...2.7.7

TorchANI 2.7.6

13 Nov 19:43
e899750

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Minor release to update dependencies

TorchANI 2.7.5

13 Nov 05:25
9ea5bc2

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What's Changed

Minor fixes, add public CI to PyPI

Full Changelog: 2.7.1...2.7.5

TorchANI 2.7.1

11 Nov 06:40
329f280

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After a long hiatus, lets go back to pypi!

What's Changed

Full Changelog: 2.7...2.7.1

TorchANI 2.6

05 Aug 23:52

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This release constitutes an overhaul of the library, making it more modular and performant. There are a few backwards incompatible code changes, but most code will run with no changes.

Please consult the documentation for a comprehensive overview of the changes and new features, which include:

  • Adding arbitrary analytic potentials to models
  • Built in implementations of DFT-D3, GFN2-xTB repulsion, and other potentials
  • Flexible model constructor for experimenting with different NN architectures
  • Customizable AEV terms and cutoff functions
  • Modular neighborlists for use with any model, including an accelerated $O(N)$ cell list and a Verlet list.
  • Improved defaults of all models that make the PES smoother and better representative of the atomization limit
  • torchani.datasets, to manipulate, create, and pre-batch ANI datasets
  • Optimized CUAEV extension
  • Optimized ensemble inference with BmmEnsemble
  • Parallel calculations over elements using MultiNetParallel (MNP)

@IgnacioJPickering @yueyericardo, @khuddzu @nterrel

2.2.4

14 Nov 16:38
17204c6

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What's Changed

  • Set C++17 for latest pytorch versions. Add flags for CUDA 12 and 11.8 by @RaulPPelaez in #641

New Contributors

Full Changelog: 2.2.3...2.2.4

2.2.3

13 Apr 18:10
40cf334

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What's Changed

New Contributors

Full Changelog: 2.2.2...2.2.3

TorchANI 2.2

05 Aug 07:25
2fcc648

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  • unique_consecutive is now supported by TorchScript, so the workaround for it is removed from TorchANI (#471)
  • Added missing dependency requests (#486)
  • torchani.data now allow using custom padding values (#489)
  • Updated TorchANI paper information (#494, #506)
  • Remove Python 2.7 style super, this is known to have issues on some Python build (#496)
  • Fix torchani.data for returning species with wrong dtype (#502)
  • Fixes the uninstall of pip (#500)
  • Source tarballs will also be distributed to PyPI (#508)
  • Improvements on unit tests and other maintainability related issue (#487, #488, #490, #491, #493, #495)