Update CHANGELOG after the 2.0.1 release (#17235)

src/lightning/app/CHANGELOG.md

@@ -17,7 +17,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 -
 
 
-### Depercated
+### Deprecated
 
 -
 
@@ -27,11 +27,23 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 -
 
 
+### Fixed
+
+-
+
+
+## [2.0.1.post0] - 2023-04-11
+
 ### Fixed
 
 - Fix frontend hosts when running with multi-process in the cloud ([#17324](https://github.com/Lightning-AI/lightning/pull/17324))
 
 
+## [2.0.1] - 2023-03-30
+
+No changes
+
+
 ## [2.0.0] - 2023-03-15
 
 ### Added

src/lightning/fabric/CHANGELOG.md

@@ -22,12 +22,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Changed
 
-- Generalized `Optimizer` validation to accommodate both FSDP 1.x and 2.x ([#16733](https://github.com/Lightning-AI/lightning/pull/16733))
-
-
 - Allow using iterable-style datasets with TPUs ([#17331](https://github.com/Lightning-AI/lightning/pull/17331))
 
-### Depercated
+### Deprecated
 
 -
 
@@ -42,6 +39,18 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed issue where running on TPUs would select the wrong device index ([#17227](https://github.com/Lightning-AI/lightning/pull/17227))
 
 
+## [2.0.1.post0] - 2023-04-11
+
+No changes
+
+
+## [2.0.1] - 2023-03-30
+
+### Changed
+
+- Generalized `Optimizer` validation to accommodate both FSDP 1.x and 2.x ([#16733](https://github.com/Lightning-AI/lightning/pull/16733))
+
+
 ## [2.0.0] - 2023-03-15
 
 ### Added

src/lightning/pytorch/CHANGELOG.md

@@ -22,55 +22,55 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Removed the limitation to call `self.trainer.model.parameters()` in `LightningModule.configure_optimizers()` ([#17309](https://github.com/Lightning-AI/lightning/pull/17309))
 
-- Generalized `Optimizer` validation to accommodate both FSDP 1.x and 2.x ([#16733](https://github.com/Lightning-AI/lightning/pull/16733))
-
 
 - Changes to the `NeptuneLogger` ([#16761](https://github.com/Lightning-AI/lightning/pull/16761)):
   * It now supports neptune-client 0.16.16 and neptune >=1.0, and we have replaced the `log()` method with `append()` and `extend()`.
   * It now accepts a namespace `Handler` as an alternative to `Run` for the `run` argument. This means that you can call it like `NeptuneLogger(run=run["some/namespace"])` to log everything to the `some/namespace/` location of the run.
 
+
 - `Trainer(accelerator="tpu", devices=[i])"` now selects the i-th TPU core (0-based, previously it was 1-based) ([#17227](https://github.com/Lightning-AI/lightning/pull/17227))
 
 
-- Pickling the `LightningModule` no longer pickles the `Trainer` ([#17133](https://github.com/Lightning-AI/lightning/pull/17133))
-
-
-- Disable `torch.inference_mode` with `torch.compile` in PyTorch 2.0 ([#17215](https://github.com/Lightning-AI/lightning/pull/17215))
-
-
-- Changed the `is_picklable` util function to handle the edge case that throws a `TypeError` ([#17270](https://github.com/Lightning-AI/lightning/pull/17270))
-
-
 - Allow using iterable-style datasets with TPUs ([#17331](https://github.com/Lightning-AI/lightning/pull/17331))
 
-### Depercated
+### Deprecated
 
 -
 
-
 ### Removed
 
 -
 
+### Fixed
+
+-
+
+
+## [2.0.1.post0] - 2023-04-11
+
+### Fixed
+
+- Changed the `is_picklable` util function to handle the edge case that throws a `TypeError` ([#17270](https://github.com/Lightning-AI/lightning/pull/17270))
+
+
+
+## [2.0.1] - 2023-03-30
+
+### Changed
+
+- Pickling the `LightningModule` no longer pickles the `Trainer` ([#17133](https://github.com/Lightning-AI/lightning/pull/17133))
+- Generalized `Optimizer` validation to accommodate both FSDP 1.x and 2.x ([#16733](https://github.com/Lightning-AI/lightning/pull/16733))
+- Disable `torch.inference_mode` with `torch.compile` in PyTorch 2.0 ([#17215](https://github.com/Lightning-AI/lightning/pull/17215))
 
 ### Fixed
 
 - Fixed issue where pickling the module instance would fail with a DataLoader error ([#17130](https://github.com/Lightning-AI/lightning/pull/17130))
-
-
 - Fixed WandbLogger not showing "best" aliases for model checkpoints when `ModelCheckpoint(save_top_k>0)` is used ([#17121](https://github.com/Lightning-AI/lightning/pull/17121))
-
-
-- Fixed parsing the precision config for inference in `DeepSpeedStrategy` ([#16973](https://github.com/Lightning-AI/lightning/pull/16973))
-
-
 - Fixed the availability check for `rich` that prevented Lightning to be imported in Google Colab ([#17156](https://github.com/Lightning-AI/lightning/pull/17156))
-
-
+- Fixed parsing the precision config for inference in `DeepSpeedStrategy` ([#16973](https://github.com/Lightning-AI/lightning/pull/16973))
 - Fixed issue where `torch.compile` would fail when logging to WandB ([#17216](https://github.com/Lightning-AI/lightning/pull/17216))
 
 
-
 ## [2.0.0] - 2023-03-15
 
 ### Added