[MNT] [Dependabot](deps): Update pytorch-lightning requirement from <2.5.0,>=2.0.0 to >=2.0.0,<2.7.0

[dependabot]

Updates the requirements on pytorch-lightning to permit the latest version.

Release notes

Sourced from pytorch-lightning's releases.

Lightning v2.6.0

Changes in 2.6.0

PyTorch Lightning

• Added WeightAveraging callback that wraps the PyTorch AveragedModel class (#20545)
• Added Torch-Tensorrt integration with LightningModule (#20808)
• Added time-based validation support though val_check_interval (#21071)
• Added attributes to access stopping reason in EarlyStopping callback (#21188)
• Added support for variable batch size in ThroughputMonitor (#20236)
• Added EMAWeightAveraging callback that wraps Lightning's WeightAveraging class (#21260)

• Expose weights_only argument for Trainer.{fit,validate,test,predict} and let torch handle default value (#21072)
• Default to RichProgressBar and RichModelSummary if the rich package is available. Fallback to TQDMProgressBar and ModelSummary otherwise (#20896)
• Add MPS accelerator support for mixed precision (#21209)

• Fixed edgecase when max_trials is reached in Tuner.scale_batch_size (#21187)
• Fixed case where LightningCLI could not be initialized with trainer_default containing callbacks (#21192)
• Fixed missing reset when ModelPruning is applied with lottery ticket hypothesis (#21191)
• Fixed preventing recursive symlink creation iwhen save_last='link' and save_top_k=-1 (#21186)
• Fixed last.ckpt being created and not linked to another checkpoint (#21244)
• Fixed bug that prevented BackboneFinetuning from being used together with LearningRateFinder (#21224)
• Fixed ModelPruning sparsity logging bug that caused incorrect sparsity percentages (#21223)
• Fixed LightningCLI loading of hyperparameters from ckpt_path failing for subclass model mode (#21246)
• Fixed check the init args only when the given frames are in __init__ method (#21227)
• Fixed how ThroughputMonitor calculated training time (#21291)
• Fixed synchronization of gradients in manual optimization with DDPStrategy(static_graph=True) (#21251)
• Fixed FSDP mixed precision semantics and added user warning (#21361)

Lightning Fabric

• Expose weights_only argument for Trainer.{fit,validate,test,predict} and let torch handle default value (#21072)
• Set _DeviceDtypeModuleMixin._device from torch's default device function (#21164)
• Added kwargs-filtering for Fabric.call to support different callback method signatures (#21258)

... (truncated)

Commits

• 8540370 update changelog (#21387)
• 25c9922 Revert Rerouting (#21385)
• b09e96e Fix ModelCheckpoint file_exists OOM in DDP (#21380)
• ef489f2 [Fabric] Ignore Keyword Arguments Outside of Callback Signature (#21258)
• 5ea509a build(deps): update jsonargparse[jsonnet,signatures] requirement from <4.43.0...
• 8f702b3 Change Import Error Message (#21370)
• e98df3c update maintainers/codeowners (#21240)
• eec92a9 Prepare release 2.6.0 (#21368)
• 05ae8b3 Fix FSDP mixed precision semantics and add user warning (#21361)
• 9a10959 Internal Refactor: Reroute Implementations (#21354)
• Additional commits viewable in compare view

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[fkiraly]

superseded by #625

[dependabot]

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.