Releases: torchmd/torchmd-net
Releases · torchmd/torchmd-net
2.4.7
What's Changed
- Fix HDF5 dataset consistency by @AntonioMirarchi in #356
- Support for pytorch 2.6
- New setup by @stefdoerr in #358
- blacken code by @stefdoerr in #359
- Update setup.py to check if WITH_CUDA is set by @szaman19 in #360
New Contributors
Full Changelog: 2.4.6...2.4.7
2.4.6
What's Changed
- CUSTOM MDCATH by @AntonioMirarchi in #341
- Add backup for metrics.csv by @AntonioMirarchi in #345
- Linux Aarch64 build fix by @stefdoerr in #354
Full Changelog: 2.4.5...2.4.6
2.4.5
2.4.4
- Fixed Windows CUDA build issues.
- Removed unneeded depencencies.
- Added support for configurable early stopping monitoring
Full Changelog: 2.4.3...2.4.4
2.4.3
2.4.1
Hotfix to remove runtime dependency on ase.
Full Changelog: 2.4.0...2.4.1
2.4.0
What's Changed
- MDCATH by @AntonioMirarchi in #337
- Add GLU, Swish, Mish and SwiGLU by @RaulPPelaez in #334
- Add Huber loss, allow choosing training loss function from the yaml by @RaulPPelaez in #335
Full Changelog: 2.3.0...2.4.0
2.3.0
What's Changed
- Disable persistent_workers with num_workers=0 and disable pin_memory in DataModule by @sef43 in #322
- Disable persistent_workers completely, enable pin_memory in DataModule by @RaulPPelaez in #325
- Disable TF32 usage by default by @RaulPPelaez in #327
- Update environment file by @RaulPPelaez in #329
- Disable EMA if the user inputs 0 for alpha by @RaulPPelaez in #330
- Add SPICE 2.0.1, Fix bug in MemmappedDataset by @RaulPPelaez in #333
- MACE-OFF dataset by @RaulPPelaez in #332
New Contributors
Full Changelog: 2.2.0...2.3.0
2.2.0
What's Changed
- Fix HDF5 not understanding some files by @RaulPPelaez in #313
- Allow to configure the depth of the MLP in output modules by @RaulPPelaez in #314
- torch.compile neighbors without graph breaks by @RaulPPelaez in #305
- Filter non used sample values in QM9 by @RaulPPelaez in #316
- Fix pre-MLP model loading by @RaulPPelaez in #318
- Enable allow_pickle to be able to specify splits. by @brian8128 in #319
New Contributors
- @brian8128 made their first contribution in #319
Full Changelog: 2.1.0...2.2.0
2.1.0
What's Changed
- add arg to MemmappedDataset by @AntonioMirarchi in #295
- Add custom training loop to the docs by @RaulPPelaez in #298
- Add SPICE 1.1.4, remove leftover remove_ref_energy in some datasets by @RaulPPelaez in #303
- Added support for ensemble models by @stefdoerr in #308
- Support for ensemble model zip files by @stefdoerr in #311
Full Changelog: 2.0.0...2.1.0