Skip to content

[MNT] [Dependabot](deps): Bump pytorch-lightning from 2.4.0 to 2.6.1#639

Closed
dependabot[bot] wants to merge 1 commit intomainfrom
dependabot/pip/pytorch-lightning-2.6.1
Closed

[MNT] [Dependabot](deps): Bump pytorch-lightning from 2.4.0 to 2.6.1#639
dependabot[bot] wants to merge 1 commit intomainfrom
dependabot/pip/pytorch-lightning-2.6.1

Conversation

@dependabot
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Feb 2, 2026

Bumps pytorch-lightning from 2.4.0 to 2.6.1.

Release notes

Sourced from pytorch-lightning's releases.

Lightning v2.6.1

Changes in 2.6.1

PyTorch Lightning

  • Added method chaining support to LightningModule.freeze() and LightningModule.unfreeze() by returning self (#21469)
  • Added litlogger integration(#21430)
  • Deprecated to_torchscript method due to deprecation of TorchScript in PyTorch (#21397)
  • Removed support for Python 3.9 due to end-of-life status (#21398)
  • Fixed save_hyperparameters(ignore=...) behavior so subclass ignore rules override base class rules (#21490)
  • Fixed LightningDataModule.load_from_checkpoint to restore the datamodule subclass and hyperparameters (#21478)
  • Fixed ModelParallelStrategy single-file checkpointing when torch.compile wraps the model so optimizer states no longer raise KeyError during save (#21357)
  • Sanitize profiler filenames when saving to avoid crashes due to invalid characters (#21395)
  • Fixed StochasticWeightAveraging with infinite epochs (#21396)
  • Fixed _generate_seed_sequence_sampling function not producing unique seeds (#21399)
  • Fixed ThroughputMonitor callback emitting warnings too frequently (#21453)

Lightning Fabric

  • Exposed weights_only argument for loading checkpoints in Fabric.load() and Fabric.load_raw() (#21470)
  • Fixed DistributedSamplerWrapper not forwarding set_epoch to the underlying sampler (#21454)
  • Fixed DDP notebook CUDA fork check to allow passive initialization when CUDA is not actively used (#21402)

... (truncated)

Commits
  • 655a3a9 bump(deps): bump litlogger version to >=0.1.7 (#21517)
  • 300c05a Prepare release 2.6.1 (#21516)
  • dc16bc5 build(deps): update setuptools requirement from <80.9.1 to <80.10.3 in /requi...
  • 6ee3800 build(deps): update torchvision requirement from <0.25.0,>=0.16.0 to >=0.16.0...
  • 6478f8e Fix save_hyperparameters ignore precedence in subclasses (#21490)
  • 2712587 CI: fix doctest failure from PyTorch LeafSpec FutureWarning (#21502)
  • ae1dc6f fix(link-check): resolve broken URLs (#21493)
  • f0b1c52 fix(fabric): forward set_epoch to underlying sampler in DistributedSamplerWra...
  • bddc253 Fix warning frequency in throughput monitor callback (#21453)
  • 2f4b58a build(deps): update numpy requirement from <2.3.5,>2.1.0 to >2.1.0,<2.4.2 in ...
  • Additional commits viewable in compare view

Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

Bumps [pytorch-lightning](https://github.com/Lightning-AI/lightning) from 2.4.0 to 2.6.1.
- [Release notes](https://github.com/Lightning-AI/lightning/releases)
- [Commits](Lightning-AI/pytorch-lightning@2.4.0...2.6.1)

---
updated-dependencies:
- dependency-name: pytorch-lightning
  dependency-version: 2.6.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the maintenance Continuous integration, unit testing & package distribution label Feb 2, 2026
@fkiraly
Copy link
Collaborator

fkiraly commented Feb 3, 2026

false positive, frozen depset for testing

@fkiraly fkiraly closed this Feb 3, 2026
@dependabot @github
Copy link
Contributor Author

dependabot bot commented on behalf of github Feb 3, 2026

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.

@dependabot dependabot bot deleted the dependabot/pip/pytorch-lightning-2.6.1 branch February 3, 2026 07:46
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

maintenance Continuous integration, unit testing & package distribution

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant