Changes in 2.5.4
PyTorch Lightning
Fixed
- Fixed
AsyncCheckpointIO
snapshots tensors to avoid race with parameter mutation (#21079) - Fixed
AsyncCheckpointIO
threadpool exception if calling fit or validate more than one (#20952) - Fixed learning rate not being correctly set after using
LearningRateFinder
callback (#21068) - Fixed misalignment column while using rich model summary in
DeepSpeedstrategy
(#21100) - Fixed
RichProgressBar
crashing when sanity checking using val dataloader with 0 len (#21108)
Lightning Fabric
Changed
- Added support for NVIDIA H200 GPUs in
get_available_flops
(#20913)
Full commit list: 2.5.3 -> 2.5.4
Contributors
We thank all folks who submitted issues, features, fixes and doc changes. It's the only way we can collectively make Lightning ⚡ better for everyone, nice job!
In particular, we would like to thank the authors of the pull-requests above, in no particular order:
@fnhirwa, @GdoongMathew, @jjh42, @littlebullGit, @SkafteNicki
Thank you ❤️ and we hope you'll keep them coming!