Prepare 2.2 release candidate

.pre-commit-config.yaml

@@ -27,7 +27,7 @@ repos:
     hooks:
       - id: end-of-file-fixer
       - id: trailing-whitespace
-        # ignoring Wills's wild changes
+        # keep formatting in README flexible
         exclude: README.md
       - id: check-json
       - id: check-yaml

src/lightning/app/CHANGELOG.md

@@ -5,33 +5,6 @@ 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] - 202X-XX-XX
-
-### Added
-
--
-
-
-### Changed
-
--
-
-
-### Deprecated
-
--
-
-
-### Removed
-
--
-
-
-### Fixed
-
--
-
-
 ## [2.1.3] - 2023-12-21
 
 ### Changed

src/lightning/fabric/CHANGELOG.md

@@ -5,61 +5,40 @@ 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] - 202X-XX-XX
+## [2.2.0] - 2024-02-XX
 
 ### Added
 
 - Added `lightning.fabric.utilities.ThroughputMonitor` and `lightning.fabric.utilities.Throughput` to track throughput and log it ([#18848](https://github.com/Lightning-AI/lightning/pull/18848))
-
-
 - Added `lightning.fabric.utilities.AttributeDict` for convenient dict-attribute access to represent state in script ([#18943](https://github.com/Lightning-AI/lightning/pull/18943))
-
-
 - Added support for meta-device initialization and materialization of 4-bit Bitsandbytes layers ([#19150](https://github.com/Lightning-AI/lightning/pull/19150))
-
-
 - Added `TransformerEnginePrecision(fallback_compute_dtype=)` to control the dtype of operations that don't support fp8 ([#19082](https://github.com/Lightning-AI/lightning/pull/19082))
-
-
 - Added support for clipping gradients by value with FSDP ([#19236](https://github.com/Lightning-AI/lightning/pull/19236))
-
-
 - Added a utility function and CLI to consolidate FSDP sharded checkpoints into a single file ([#19213](https://github.com/Lightning-AI/lightning/pull/19213))
-
-
 - (Experimental) Added support for re-compiling the model inside `Fabric.setup()` over the FSDP/DDP wrappers ([#19280](https://github.com/Lightning-AI/lightning/pull/19280))
 
-
 ### Changed
 
 - `seed_everything()` without passing in a seed no longer randomly selects a seed, and now defaults to `0` ([#18846](https://github.com/Lightning-AI/lightning/pull/18846))
-
-
 - Changed the `TransformerEnginePrecision(dtype=)` argument to `weights_dtype` and made it required ([#19082](https://github.com/Lightning-AI/lightning/pull/19082))
-
-
 - The columns in the `metrics.csv` file produced by `CSVLogger` are now sorted alphabetically ([#19159](https://github.com/Lightning-AI/lightning/pull/19159))
 
-
-### Deprecated
-
--
-
-
 ### Removed
 
 - Removed support for PyTorch 1.12 ([#19300](https://github.com/Lightning-AI/lightning/pull/19300))
 
-
 ### Fixed
 
 - Fixed parsing of v100s GPUs in `get_available_flops` ([#18952](https://github.com/Lightning-AI/lightning/pull/18952))
+- Fixed issue where the `precision="transformer-engine"` argument would not replace layers by default ([#19082](https://github.com/Lightning-AI/lightning/pull/19082))
 
 
-- Fixed issue where the `precision="transformer-engine"` argument would not replace layers by default ([#19082](https://github.com/Lightning-AI/lightning/pull/19082))
+## [2.1.4] - 2024-01-31
 
+### Fixed
 
 - Fixed an issue preventing Fabric to run on CPU when the system's CUDA driver is outdated or broken ([#19234](https://github.com/Lightning-AI/lightning/pull/19234))
+- Fixed typo in kwarg in SpikeDetection ([#19282](https://github.com/Lightning-AI/lightning/pull/19282))
 
 
 ## [2.1.3] - 2023-12-21

src/lightning/pytorch/CHANGELOG.md

@@ -5,88 +5,54 @@ 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] - 202X-XX-XX
+## [2.2.0] - 2024-02-XX
 
 ### Added
 
 - Added `lightning.pytorch.callbacks.ThroughputMonitor` to track throughput and log it ([#18848](https://github.com/Lightning-AI/lightning/pull/18848))
-
-
 - The Trainer now restores the training mode set through `.train()` or `.eval()` on a submodule-level when switching from validation to training ([#18951](https://github.com/Lightning-AI/lightning/pull/18951))
-
-
 - Added support for meta-device initialization and materialization of 4-bit Bitsandbytes layers ([#19150](https://github.com/Lightning-AI/lightning/pull/19150))
-
-
 - Added `TransformerEnginePrecision(fallback_compute_dtype=)` to control the dtype of operations that don't support fp8 ([#19082](https://github.com/Lightning-AI/lightning/pull/19082))
-
-
 - Added the option `ModelCheckpoint(save_last='link')` to create a symbolic link for the 'last.ckpt' file ([#19191](https://github.com/Lightning-AI/lightning/pull/19191))
-
-
 - Added a utility function and CLI to consolidate FSDP sharded checkpoints into a single file ([#19213](https://github.com/Lightning-AI/lightning/pull/19213))
-
-
 - The TQDM progress bar now respects the env variable `TQDM_MINITERS` for setting the refresh rate ([#19381](https://github.com/Lightning-AI/lightning/pull/19381))
-
-
 - Added support for saving and loading stateful training DataLoaders ([#19361](https://github.com/Lightning-AI/lightning/pull/19361))
 
-
 ### Changed
 
 - `seed_everything()` without passing in a seed no longer randomly selects a seed, and now defaults to `0` ([#18846](https://github.com/Lightning-AI/lightning/pull/18846))
-
-
 - The `LightningModule.on_{validation,test,predict}_model_{eval,train}` now only get called if they are overridden by the user ([#18951](https://github.com/Lightning-AI/lightning/pull/18951))
-
-
 - The `Trainer.fit()` loop no longer calls `LightningModule.train()` at the start; it now preserves the user's configuration of frozen layers ([#18951](https://github.com/Lightning-AI/lightning/pull/18951))
-
-
 - The `LightningModule.load_from_checkpoint()` function now calls `.configure_model()` on the model if it is overridden, to ensure all layers can be loaded from the checkpoint ([#19036](https://github.com/Lightning-AI/lightning/pull/19036))
-
-
 - Restored usage of `step` parameter when logging metrics with `NeptuneLogger` ([#19126](https://github.com/Lightning-AI/pytorch-lightning/pull/19126))
-
-
 - Changed the `TransformerEnginePrecision(dtype=)` argument to `weights_dtype` and made it required ([#19082](https://github.com/Lightning-AI/lightning/pull/19082))
-
-
 - The columns in the `metrics.csv` file produced by `CSVLogger` are now sorted alphabetically ([#19159](https://github.com/Lightning-AI/lightning/pull/19159))
-
-
 - Reverted back to creating a checkpoint copy when `ModelCheckpoint(save_last=True)` instead of creating a symbolic link ([#19191](https://github.com/Lightning-AI/lightning/pull/19191))
 
-
 ### Deprecated
 
 - Deprecated all precision plugin classes under `lightning.pytorch.plugins` with the suffix `Plugin` in the name ([#18840](https://github.com/Lightning-AI/lightning/pull/18840))
 
-
 ### Removed
 
 - Removed support for PyTorch 1.12 ([#19300](https://github.com/Lightning-AI/lightning/pull/19300))
 
-
 ### Fixed
 
 - Fixed issue where the `precision="transformer-engine"` argument would not replace layers by default ([#19082](https://github.com/Lightning-AI/lightning/pull/19082))
 
 
-- Fixed `Trainer` not expanding the `default_root_dir` if it has the `~` (home) prefix ([#19179](https://github.com/Lightning-AI/lightning/pull/19179))
-
-
-- Fixed an issue preventing the Trainer to run on CPU when the system's CUDA driver is outdated or broken ([#19234](https://github.com/Lightning-AI/lightning/pull/19234))
+## [2.1.4] - 2024-01-31
 
+### Fixed
 
+- Fixed `Trainer` not expanding the `default_root_dir` if it has the `~` (home) prefix ([#19179](https://github.com/Lightning-AI/lightning/pull/19179))
 - Fixed warning for Dataloader if `num_workers=1` and CPU count is 1 ([#19224](https://github.com/Lightning-AI/lightning/pull/19224))
-
-
+- Fixed `WandbLogger.watch()` method annotation to accept `None` for the log parameter ([#19237](https://github.com/Lightning-AI/lightning/pull/19237))
+- Fixed an issue preventing the Trainer to run on CPU when the system's CUDA driver is outdated or broken ([#19234](https://github.com/Lightning-AI/lightning/pull/19234))
 - Fixed an issue with the ModelCheckpoint callback not saving relative symlinks with `ModelCheckpoint(save_last="link")` ([#19303](https://github.com/Lightning-AI/lightning/pull/19303))
-
-
 - Fixed issue where the `_restricted_classmethod_impl` would incorrectly raise a TypeError on inspection rather than on call ([#19332](https://github.com/Lightning-AI/lightning/pull/19332))
+- Fixed exporting `__version__` in `__init__` ([#19221](https://github.com/Lightning-AI/lightning/pull/19221))
 
 
 ## [2.1.3] - 2023-12-21

src/version.info

@@ -1 +1 @@
-2.2.0dev
+2.2.0.rc0