Download Latest Version Lightning v2.5.3 source code.tar.gz (16.4 MB)
Email in envelope

Get an email when there's a new version of PyTorch Lightning

Home / 2.5.3
Name Modified Size InfoDownloads / Week
Parent folder
pytorch_lightning-2.5.3.tar.gz 2025-08-13 639.9 kB
0
lightning-2.5.3.tar.gz 2025-08-13 636.6 kB
0
pytorch_lightning-2.5.3-py3-none-any.whl 2025-08-13 828.2 kB
0
lightning-2.5.3-py3-none-any.whl 2025-08-13 824.2 kB
0
lightning_fabric-2.5.3.tar.gz 2025-08-13 196.6 kB
0
lightning_fabric-2.5.3-py3-none-any.whl 2025-08-13 251.3 kB
0
Lightning v2.5.3 source code.tar.gz 2025-08-13 16.4 MB
0
Lightning v2.5.3 source code.zip 2025-08-13 17.1 MB
0
README.md 2025-08-13 3.9 kB
0
Totals: 9 Items   36.9 MB 0

Notable changes in this release

PyTorch Lightning

Changed - Added `save_on_exception` option to `ModelCheckpoint` Callback ([#20916](https://github.com/Lightning-AI/pytorch-lightning/pull/20916)) - Allow `dataloader_idx_` in log names when `add_dataloader_idx=False` ([#20987](https://github.com/Lightning-AI/pytorch-lightning/pull/20987)) - Allow returning `ONNXProgram` when calling `to_onnx(dynamo=True)` ([#20811](https://github.com/Lightning-AI/pytorch-lightning/pull/20811)) - Extended support for general mappings being returned from `training_step` when using manual optimization ([#21011](https://github.com/Lightning-AI/pytorch-lightning/pull/21011))
Fixed - Fixed Allowing trainer to accept CUDAAccelerator instance as accelerator with FSDP strategy ([#20964](https://github.com/Lightning-AI/pytorch-lightning/pull/20964)) - Fixed progress bar console clearing for Rich `14.1+` ([#21016](https://github.com/Lightning-AI/pytorch-lightning/pull/21016)) - Fixed `AdvancedProfiler` to handle nested profiling actions for Python 3.12+ ([#20809](https://github.com/Lightning-AI/pytorch-lightning/pull/20809)) - Fixed `rich` progress bar error when resume training ([#21000](https://github.com/Lightning-AI/pytorch-lightning/pull/21000)) - Fixed double iteration bug when resumed from a checkpoint. ([#20775](https://github.com/Lightning-AI/pytorch-lightning/pull/20775)) - Fixed support for more dtypes in `ModelSummary` ([#21034](https://github.com/Lightning-AI/pytorch-lightning/pull/21034)) - Fixed metrics in `RichProgressBar` being updated according to user provided `refresh_rate` ([#21032](https://github.com/Lightning-AI/pytorch-lightning/pull/21032)) - Fixed `save_last` behavior in the absence of validation ([#20960](https://github.com/Lightning-AI/pytorch-lightning/pull/20960)) - Fixed integration between `LearningRateFinder` and `EarlyStopping` ([#21056](https://github.com/Lightning-AI/pytorch-lightning/pull/21056)) - Fixed gradient calculation in `lr_finder` for `mode="exponential"` ([#21055](https://github.com/Lightning-AI/pytorch-lightning/pull/21055)) - Fixed `save_hyperparameters` crashing with `dataclasses` using `init=False` fields ([#21051](https://github.com/Lightning-AI/pytorch-lightning/pull/21051))

Lightning Fabric

Changed - Enable "auto" for `devices` and `accelerator` as CLI arguments ([#20913](https://github.com/Lightning-AI/pytorch-lightning/pull/20913)) - Raise ValueError when seed is `out-of-bounds` or `cannot be cast to int` ([#21029](https://github.com/Lightning-AI/pytorch-lightning/pull/21029))
Removed - Fixed remove extra `name` parameter in accelerator registry decorator ([#20975](https://github.com/Lightning-AI/pytorch-lightning/pull/20975)) - Fixed XLA strategy to add support for `global_ordinal`, `local_ordinal`, `world_size` which came instead of deprecated methods ([#20852](https://github.com/Lightning-AI/pytorch-lightning/issues/20852))


Full commit list: 2.5.2 -> 2.5.3

Contributors

We thank all folks who submitted issues, features, fixes and doc changes. It's the only way we can collectively make Lightning :zap: better for everyone, nice job!

In particular, we would like to thank the authors of the pull-requests above, in no particular order:

@baskrahmer, @bhimrazy, @deependujha, @fnhirwa, @GdoongMathew, @jonathanking, @relativityhd, @rittik9, @SkafteNicki, @sudiptob2, @vsey, @YgLK

Thank you :heart: and we hope you'll keep them coming!

Source: README.md, updated 2025-08-13