IntelLabs / matsciml

Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.
MIT License
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build(deps): bump matgl from 1.0.0 to 1.1.3 #269

Closed dependabot[bot] closed 2 months ago

dependabot[bot] commented 2 months ago

Bumps matgl from 1.0.0 to 1.1.3.

Release notes

Sourced from matgl's releases.

v1.1.3

What's Changed

New Contributors

Full Changelog: https://github.com/materialsvirtuallab/matgl/compare/v1.1.2...v1.1.3

v1.1.2

  • Move AtomRef Fitting to numpy to avoid bug (@​BowenD-UCB)
  • NVE ensemble added (@​kenko911)
  • Migrate from pytorch_lightning to lightning.

v1.1.1

v1.1.0

Changelog

Sourced from matgl's changelog.

1.1.3

  • Improve the memory efficiency and speed of three-body interactions. (@​kenko911)
  • FrechetCellFilter is added for variable cell relaxation in Relaxer class. (@​kenko911)
  • Smooth l1 loss function is added for training. (@​kenko911)

1.1.2

  • Move AtomRef Fitting to numpy to avoid bug (@​BowenD-UCB)
  • NVE ensemble added (@​kenko911)
  • Migrate from pytorch_lightning to lightning.

1.1.1

1.1.0

Commits
  • c8aad8f Update docs
  • 42b0549 Update Change Log
  • 07c48d6 Update the version of MatGL to 1.1.3 in pyproject.toml
  • f3afb34 Bump rexml from 3.3.2 to 3.3.3 in /docs (#298)
  • 133d023 Bump rexml from 3.2.8 to 3.3.2 in /docs (#297)
  • 283928f Correct the upper bound of torchdata from 0.8.1 to 0.8.0
  • a0d55b5 setup the upper bound of torchdata to avoid crash for users
  • 1378286 avoid using torchdata0.8.0 to prevent crash for pytest
  • d0bf202 remove the upper bound of torch version
  • 12e6c8e Remove unnecessary else statement for calculating magmom loss (#294)
  • Additional commits viewable in compare view


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dependabot[bot] commented 2 months ago

Looks like matgl is up-to-date now, so this is no longer needed.