docs: update chlog after 2.5.1 release

.github/workflows/_legacy-checkpoints.yml

@@ -144,7 +144,7 @@ jobs:
           title: Adding test for legacy checkpoint created with ${{ env.PL_VERSION }}
           committer: GitHub <[email protected]>
           author: ${{ github.actor }} <${{ github.actor }}@users.noreply.github.com>
-          commit-message: "update tutorials to `${{ env.PL_VERSION }}`"
+          commit-message: "adding `${{ env.PL_VERSION }}` checkpoint"
           body: "**This is automated addition of created checkpoints with the latest `lightning` release!**"
           delete-branch: true
           token: ${{ secrets.PAT_GHOST }}

src/lightning/fabric/CHANGELOG.md

@@ -4,16 +4,30 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
+
 ## [unreleased] - YYYY-MM-DD
 
 ### Added
 
-- Added logging support for list of dicts without collapsing to a single key ([#19957](https://github.com/Lightning-AI/pytorch-lightning/issues/19957))
+-
+
+
+### Removed
+
+-
 
 
+---
+
+## [2.5.1] - 2025-03-18
+
+### Changed
+
+- Added logging support for list of dicts without collapsing to a single key ([#19957](https://github.com/Lightning-AI/pytorch-lightning/issues/19957))
+
 ### Removed
 
-- Removed legacy supoport for `lightning run model`. Use `fabric run` instead. ([#20588](https://github.com/Lightning-AI/pytorch-lightning/pull/20588))
+- Removed legacy support for `lightning run model`. Use `fabric run` instead. ([#20588](https://github.com/Lightning-AI/pytorch-lightning/pull/20588))
 
 
 ## [2.5.0] - 2024-12-19

src/lightning/pytorch/CHANGELOG.md

@@ -4,23 +4,17 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
+
 ## [unreleased] - YYYY-MM-DD
 
 ### Added
 
 - Add enable_autolog_hparams argument to Trainer ([#20593](https://github.com/Lightning-AI/pytorch-lightning/pull/20593))
 
 
-- Allow LightningCLI to use a customized argument parser class ([#20596](https://github.com/Lightning-AI/pytorch-lightning/pull/20596))
-
-
 ### Changed
 
-- Change `wandb` default x-axis to `tensorboard`'s `global_step` when `sync_tensorboard=True` ([#20611](https://github.com/Lightning-AI/pytorch-lightning/pull/20611))
-
-
-- 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))
-- CometML logger was updated to support the recent Comet SDK ([#20275](https://github.com/Lightning-AI/pytorch-lightning/pull/20275))
+-
 
 
 ### Removed
@@ -30,12 +24,33 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Fixed
 
-- Fix CSVLogger logging hyperparameter at every write which increase latency  ([#20594](https://github.com/Lightning-AI/pytorch-lightning/pull/20594))
+-
 
-- Fix OverflowError when resuming from checkpoint with an iterable dataset ([#20565](https://github.com/Lightning-AI/pytorch-lightning/issues/20565))
 
+---
+
+## [2.5.1] - 2025-03-18
+
+### Changed
+
+- Allow LightningCLI to use a customized argument parser class ([#20596](https://github.com/Lightning-AI/pytorch-lightning/pull/20596))
+- Change `wandb` default x-axis to `tensorboard`'s `global_step` when `sync_tensorboard=True` ([#20611](https://github.com/Lightning-AI/pytorch-lightning/pull/20611))
+- 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))
+- CometML logger was updated to support the recent Comet SDK ([#20275](https://github.com/Lightning-AI/pytorch-lightning/pull/20275))
+- bump: testing with latest `torch` 2.6 ([#20509](https://github.com/Lightning-AI/pytorch-lightning/pull/20509))
+
+### Fixed
 
+- Fixed CSVLogger logging hyperparameter at every write which increase latency  ([#20594](https://github.com/Lightning-AI/pytorch-lightning/pull/20594))
+- Fixed OverflowError when resuming from checkpoint with an iterable dataset ([#20565](https://github.com/Lightning-AI/pytorch-lightning/issues/20565))
+- Fixed swapped _R_co and _P to prevent type error ([#20508](https://github.com/Lightning-AI/pytorch-lightning/issues/20508))
 - 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))
+- Fixed TBPTT example ([#20528](https://github.com/Lightning-AI/pytorch-lightning/pull/20528))
+- Fixed test compatibility as AdamW became subclass of Adam ([#20574](https://github.com/Lightning-AI/pytorch-lightning/pull/20574))
+- Fixed file extension of model checkpoints uploaded by NeptuneLogger ([#20581](https://github.com/Lightning-AI/pytorch-lightning/pull/20581))
+- Reset trainer variable `should_stop` when `fit` is called ([#19177](https://github.com/Lightning-AI/pytorch-lightning/pull/19177))
+- Fixed making `WandbLogger` upload models from all `ModelCheckpoint` callbacks, not just one ([#20191](https://github.com/Lightning-AI/pytorch-lightning/pull/20191))
+- Error when logging to MLFlow deleted experiment ([#20556](https://github.com/Lightning-AI/pytorch-lightning/pull/20556))
 
 
 ## [2.5.0] - 2024-12-19