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Add mutli-GPU training, data parrallelisation, pair repulsion, distance transform and other features #363

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merged 173 commits into from
Apr 23, 2024

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@ilyes319 ilyes319 commented Mar 29, 2024

Pull Request for MACE release 3.5

Description

This pull request implements a range of new features.

  • Multi-GPU training with distributed data parallelisation, support multi-node training,
  • Online data loading for large datasets,
  • Pair repulsion for close approach stability usign Agnesi transforms,
  • Distance transform for many element systems.
  • Interface for finetuning foundation models.
  • Include Chebyshev radial basis.
  • Compatibility of MACE with torch.compile
  • CLI interface.

Type of change

  • New feature (non-breaking change which adds functionality)
  • This change requires a documentation update

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