build(deps-dev): bump pytorch-lightning from 2.4.0 to 2.5.3 in /runtimes/mlflow

[dependabot]

Bumps pytorch-lightning from 2.4.0 to 2.5.3.

Release notes

Sourced from pytorch-lightning's releases.

Lightning v2.5.3

Notable changes in this release

PyTorch Lightning

• Added save_on_exception option to ModelCheckpoint Callback (#20916)
• Allow dataloader_idx_ in log names when add_dataloader_idx=False (#20987)
• Allow returning ONNXProgram when calling to_onnx(dynamo=True) (#20811)
• Extended support for general mappings being returned from training_step when using manual optimization (#21011)

• Fixed Allowing trainer to accept CUDAAccelerator instance as accelerator with FSDP strategy (#20964)
• Fixed progress bar console clearing for Rich 14.1+ (#21016)
• Fixed AdvancedProfiler to handle nested profiling actions for Python 3.12+ (#20809)
• Fixed rich progress bar error when resume training (#21000)
• Fixed double iteration bug when resumed from a checkpoint. (#20775)
• Fixed support for more dtypes in ModelSummary (#21034)
• Fixed metrics in RichProgressBar being updated according to user provided refresh_rate (#21032)
• Fixed save_last behavior in the absence of validation (#20960)
• Fixed integration between LearningRateFinder and EarlyStopping (#21056)
• Fixed gradient calculation in lr_finder for mode="exponential" (#21055)
• Fixed save_hyperparameters crashing with dataclasses using init=False fields (#21051)

Lightning Fabric

• Enable "auto" for devices and accelerator as CLI arguments (#20913)
• Raise ValueError when seed is out-of-bounds or cannot be cast to int (#21029)

• Fixed remove extra name parameter in accelerator registry decorator (#20975)
• Fixed XLA strategy to add support for global_ordinal, local_ordinal, world_size which came instead of deprecated methods (#20852)

... (truncated)

Commits

• 947f939 releasing 2.5.3
• 881efb9 chore: bump PyTorch version in dependencies & CI (#21043)
• fdafa34 Hotfix for CI (#21063)
• c8cae85 bugfix: add support for global_ordinal, local_ordinal, world_size in xl...
• 7171b92 Fix integration of LearningRateFinder with EarlyStopping (#21056)
• fb80e57 Add save_on_exception option to ModelCheckpoint (#20916)
• 5a6aaa3 Allow to return ONNXProgram when calling to_onnx(dynamo=True) (#20811)
• 41c9967 Fix lr_finder gradient calculation for mode="exponential" (#21055)
• 8a5567d fix: remove extra parameter in accelerator registry decorator (#20975)
• bc3b166 Fix save_hyperparameters not crashing on dataclass with init=False (#21...
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[dependabot]

Superseded by #2257.