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Copy file name to clipboardExpand all lines: src/lightning/fabric/CHANGELOG.md
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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [unreleased] - YYYY-MM-DD
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### Added
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##[2.5.1] - 2025-03-18
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- Added logging support for list of dicts without collapsing to a single key ([#19957](https://github.com/Lightning-AI/pytorch-lightning/issues/19957))
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### Changed
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- Added logging support for list of dicts without collapsing to a single key ([#19957](https://github.com/Lightning-AI/pytorch-lightning/issues/19957))
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### Removed
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- Removed legacy supoport for `lightning run model`. Use `fabric run` instead. ([#20588](https://github.com/Lightning-AI/pytorch-lightning/pull/20588))
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- Removed legacy support for `lightning run model`. Use `fabric run` instead. ([#20588](https://github.com/Lightning-AI/pytorch-lightning/pull/20588))
Copy file name to clipboardExpand all lines: src/lightning/pytorch/CHANGELOG.md
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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [unreleased] - YYYY-MM-DD
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### Added
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- Allow LightningCLI to use a customized argument parser class ([#20596](https://github.com/Lightning-AI/pytorch-lightning/pull/20596))
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## [2.5.1] - 2025-03-18
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- Allow LightningCLI to use a customized argument parser class ([#20596](https://github.com/Lightning-AI/pytorch-lightning/pull/20596))
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- Change `wandb` default x-axis to `tensorboard`'s `global_step` when `sync_tensorboard=True` ([#20611](https://github.com/Lightning-AI/pytorch-lightning/pull/20611))
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- Added a new `checkpoint_path_prefix` parameter to the MLflow logger which can control the path to where the MLflow artifacts for the model checkpoints are stored ([#20538](https://github.com/Lightning-AI/pytorch-lightning/pull/20538))
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- CometML logger was updated to support the recent Comet SDK ([#20275](https://github.com/Lightning-AI/pytorch-lightning/pull/20275))
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### Removed
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- bump: testing with latest `torch` 2.6 ([#20509](https://github.com/Lightning-AI/pytorch-lightning/pull/20509))
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### Fixed
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- Fix CSVLogger logging hyperparameter at every write which increase latency ([#20594](https://github.com/Lightning-AI/pytorch-lightning/pull/20594))
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- Fix OverflowError when resuming from checkpoint with an iterable dataset ([#20565](https://github.com/Lightning-AI/pytorch-lightning/issues/20565))
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- Fixed CSVLogger logging hyperparameter at every write which increase latency ([#20594](https://github.com/Lightning-AI/pytorch-lightning/pull/20594))
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- Fixed OverflowError when resuming from checkpoint with an iterable dataset ([#20565](https://github.com/Lightning-AI/pytorch-lightning/issues/20565))
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- Fixed swapped _R_co and _P to prevent type error ([#20508](https://github.com/Lightning-AI/pytorch-lightning/issues/20508))
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- Always call `WandbLogger.experiment` first in `_call_setup_hook` to ensure `tensorboard` logs can sync to `wandb` ([#20610](https://github.com/Lightning-AI/pytorch-lightning/pull/20610))
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- Fixed TBPTT example ([#20528](https://github.com/Lightning-AI/pytorch-lightning/pull/20528))
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- Fixed test compatibility as AdamW became subclass of Adam ([#20574](https://github.com/Lightning-AI/pytorch-lightning/pull/20574))
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- Fixed file extension of model checkpoints uploaded by NeptuneLogger ([#20581](https://github.com/Lightning-AI/pytorch-lightning/pull/20581))
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- Reset trainer variable `should_stop` when `fit` is called ([#19177](https://github.com/Lightning-AI/pytorch-lightning/pull/19177))
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- Fixed making `WandbLogger` upload models from all `ModelCheckpoint` callbacks, not just one ([#20191](https://github.com/Lightning-AI/pytorch-lightning/pull/20191))
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- Error when logging to MLFlow deleted experiment ([#20556](https://github.com/Lightning-AI/pytorch-lightning/pull/20556))
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