Changes in 2.6.4
PyTorch Lightning
Removed
- Removed support for Neptune logger (#21572).
Note: We usually don't remove features in a patch release, however in this case it's an exception since even without removing it the integration would be broken due to Neptune being acquired and sunsetting public service
Changed
- Raised minimum
LitLoggerversion to2026-03-17(#21591)
Fixed
- Fixed
val_check_intervalraisingValueErrorwhenlimit_val_batches=0and interval exceeds training batches (#21560) - Fixed FSDP mixed precision (
bf16-mixed,16-mixed) initializing model parameters in half precision instead of fp32 (#21586) - Fixed
device_meshtype hint inFSDPStrategyto accept a 2-element tuple via the CLI (#21581) - Fixed
RichModelSummarymodel size display formatting (#21467) - Fixed floating-point precision in
SimpleProfilerduration aggregation by usingmath.fsum(#21525)
Lightning Fabric
Fixed
Full commit list: 2.6.1 -> 2.6.4
Contributors
New Contributors
- @AsherJingkongChen made their first contribution in #21467
- @ManasVardhan made their first contribution in #21560
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 and co-authors of the pull-requests above:
@AsherJingkongChen, @Borda, @bhimrazy, @deependujha, @justusschock, @littlebullGit, @ManasVardhan, @taha-yassine