docs: update chlog after 2.5.3 (#21067)

Co-authored-by: Nicki Skafte Detlefsen <[email protected]>

Author: Borda

src/lightning/fabric/CHANGELOG.md

@@ -19,18 +19,28 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Changed
 
-- Raise ValueError when seed is `out-of-bounds` or `cannot be cast to int` ([#21029](https://github.com/Lightning-AI/pytorch-lightning/pull/21029))
+-
 
 
 ### Fixed
 
-- Fix XLA strategy to add support for `global_ordinal`, `local_ordinal`, `world_size` which came instead of deprecated methods ([#20852](https://github.com/Lightning-AI/pytorch-lightning/issues/20852))
+-
 
 
-- fix: remove extra `name` parameter in accelerator registry decorator ([#20975](https://github.com/Lightning-AI/pytorch-lightning/pull/20975))
+---
 
+## [2.5.3] - 2025-08-13
+
+### Changed
+
+- Enable "auto" for `devices` and `accelerator` as CLI arguments ([#20913](https://github.com/Lightning-AI/pytorch-lightning/pull/20913))
+- Raise ValueError when seed is `out-of-bounds` or `cannot be cast to int` ([#21029](https://github.com/Lightning-AI/pytorch-lightning/pull/21029))
+
+### Fixed
+
+- Fixed XLA strategy to add support for `global_ordinal`, `local_ordinal`, `world_size` which came instead of deprecated methods ([#20852](https://github.com/Lightning-AI/pytorch-lightning/issues/20852))
+- Fixed remove extra `name` parameter in accelerator registry decorator ([#20975](https://github.com/Lightning-AI/pytorch-lightning/pull/20975))
 
----
 
 ## [2.5.2] - 2025-3-20
 

src/lightning/pytorch/CHANGELOG.md

@@ -10,17 +10,11 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Added
 
-- Added `save_on_exception` option to `ModelCheckpoint` Callback ([#20916](https://github.com/Lightning-AI/pytorch-lightning/pull/20916))
-
-
-- Added support for general mappings being returned from `training_step` when using manual optimization ([#21011](https://github.com/Lightning-AI/pytorch-lightning/pull/21011))
+-
 
 
 ### Changed
 
-- Allow returning `ONNXProgram` when calling `to_onnx(dynamo=True)` ([#20811](https://github.com/Lightning-AI/pytorch-lightning/pull/20811))
-
-
 - Default to RichProgressBar and RichModelSummary if the rich package is available. Fallback to TQDMProgressBar and ModelSummary otherwise. ([#9580](https://github.com/Lightning-AI/pytorch-lightning/pull/9580))
 
 
@@ -31,32 +25,35 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Fixed
 
-- fix progress bar console clearing for Rich `14.1+` ([#21016](https://github.com/Lightning-AI/pytorch-lightning/pull/21016))
-
-
-- fix `AdvancedProfiler` to handle nested profiling actions for Python 3.12+ ([#20809](https://github.com/Lightning-AI/pytorch-lightning/pull/20809))
-
+-
 
-- Fix support for more dtypes in `ModelSummary` ([#21034](https://github.com/Lightning-AI/pytorch-lightning/pull/21034))
 
+---
 
-- Fixed metrics in `RichProgressBar` being updated according to user provided `refresh_rate` ([#21032](https://github.com/Lightning-AI/pytorch-lightning/pull/21032))
+## [2.5.3] - 2025-08-13
 
+### Changed
 
-- Fix `save_last` behavior in the absence of validation ([#20960](https://github.com/Lightning-AI/pytorch-lightning/pull/20960))
+- Added `save_on_exception` option to `ModelCheckpoint` Callback ([#20916](https://github.com/Lightning-AI/pytorch-lightning/pull/20916))
+- Allow `dataloader_idx_` in log names when `add_dataloader_idx=False` ([#20987](https://github.com/Lightning-AI/pytorch-lightning/pull/20987))
+- Allow returning `ONNXProgram` when calling `to_onnx(dynamo=True)` ([#20811](https://github.com/Lightning-AI/pytorch-lightning/pull/20811))
+- Extended support for general mappings being returned from `training_step` when using manual optimization ([#21011](https://github.com/Lightning-AI/pytorch-lightning/pull/21011))
 
+### Fixed
 
+- Fixed Allowing trainer to accept CUDAAccelerator instance as accelerator with FSDP strategy ([#20964](https://github.com/Lightning-AI/pytorch-lightning/pull/20964))
+- Fixed progress bar console clearing for Rich `14.1+` ([#21016](https://github.com/Lightning-AI/pytorch-lightning/pull/21016))
+- Fixed `AdvancedProfiler` to handle nested profiling actions for Python 3.12+ ([#20809](https://github.com/Lightning-AI/pytorch-lightning/pull/20809))
+- Fixed rich progress bar error when resume training ([#21000](https://github.com/Lightning-AI/pytorch-lightning/pull/21000))
+- Fixed double iteration bug when resumed from a checkpoint. ([#20775](https://github.com/Lightning-AI/pytorch-lightning/pull/20775))
+- Fixed support for more dtypes in `ModelSummary` ([#21034](https://github.com/Lightning-AI/pytorch-lightning/pull/21034))
+- Fixed metrics in `RichProgressBar` being updated according to user provided `refresh_rate` ([#21032](https://github.com/Lightning-AI/pytorch-lightning/pull/21032))
+- Fixed `save_last` behavior in the absence of validation ([#20960](https://github.com/Lightning-AI/pytorch-lightning/pull/20960))
 - Fixed integration between `LearningRateFinder` and `EarlyStopping` ([#21056](https://github.com/Lightning-AI/pytorch-lightning/pull/21056))
-
-
-- Fix gradient calculation in `lr_finder` for `mode="exponential"`  ([#21055](https://github.com/Lightning-AI/pytorch-lightning/pull/21055))
-
-
+- Fixed gradient calculation in `lr_finder` for `mode="exponential"`  ([#21055](https://github.com/Lightning-AI/pytorch-lightning/pull/21055))
 - Fixed `save_hyperparameters` crashing with `dataclasses` using `init=False` fields ([#21051](https://github.com/Lightning-AI/pytorch-lightning/pull/21051))
 
 
----
-
 ## [2.5.2] - 2025-06-20
 
 ### Changed