Update CHANGELOG after the 1.6.4 release (Lightning-AI#13201)

Author: carmocca

CHANGELOG.md

@@ -63,9 +63,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added CPU metric tracking to `DeviceStatsMonitor` ([#11795](https://github.com/PyTorchLightning/pytorch-lightning/pull/11795))
 
 
-- Added all DDP params to be exposed through hpu parallel strategy ([#13067](https://github.com/PyTorchLightning/pytorch-lightning/pull/13067))
-
-
 - Added `teardown()` method to `Accelerator` ([#11935](https://github.com/PyTorchLightning/pytorch-lightning/pull/11935))
 
 ### Changed
@@ -102,12 +99,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Changed `pytorch_lightning.core.lightning` to `pytorch_lightning.core.module` ([#12740](https://github.com/PyTorchLightning/pytorch-lightning/pull/12740))
 
-
-- Keep `torch.backends.cudnn.benchmark=False` by default (unlike in v1.6.{0-4}) after speed and memory problems depending on the data used. Please consider tuning `Trainer(benchmark)` manually. ([#13154](https://github.com/PyTorchLightning/pytorch-lightning/pull/13154))
-
-
-- Prevent modification of `torch.backends.cudnn.benchmark` when `Trainer(benchmark=...)` is not set ([#13154](https://github.com/PyTorchLightning/pytorch-lightning/pull/13154))
-
 ### Deprecated
 
 - Deprecated `pytorch_lightning.loggers.base.LightningLoggerBase` in favor of `pytorch_lightning.loggers.logger.Logger`, and deprecated `pytorch_lightning.loggers.base` in favor of `pytorch_lightning.loggers.logger` ([#120148](https://github.com/PyTorchLightning/pytorch-lightning/pull/12014))
@@ -214,55 +205,44 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Fixed
 
-- Fixed an issue causing zero-division error for empty dataloaders ([#12885](https://github.com/PyTorchLightning/pytorch-lightning/pull/12885))
-
-
-- Fixed `Trainer(precision=64)` during evaluation which now uses the wrapped precision module ([#12983](https://github.com/PyTorchLightning/pytorch-lightning/pull/12983))
-
-
-- Fixed an issue to use wrapped `LightningModule` for evaluation during `trainer.fit` for `BaguaStrategy` ([#12983](https://github.com/PyTorchLightning/pytorch-lightning/pull/12983))
-
-
-- Fixed mismatching default values for the types of some arguments in the DeepSpeed and Fully-Sharded strategies which made the CLI unable to use them ([#12989](https://github.com/PyTorchLightning/pytorch-lightning/pull/12989))
-
-
 - Fixed an issue with unsupported torch.inference_mode() on hpu backends by making it use no_grad ([#13014](https://github.com/PyTorchLightning/pytorch-lightning/pull/13014))
 
 
-- Fixed `DDPStrategy` and `DDPSpawnStrategy` to initialize optimizers only after moving the module to the device ([#11952](https://github.com/PyTorchLightning/pytorch-lightning/pull/11952))
-
+- The model wrapper returned by `LightningLite.setup()` now properly supports pass-through when looking up attributes ([#12597](https://github.com/PyTorchLightning/pytorch-lightning/pull/12597))
 
-- Fixed epoch logging on train epoch end ([#13025](https://github.com/PyTorchLightning/pytorch-lightning/pull/13025))
 
+- Fixed issue where the CLI fails with certain torch objects ([#13153](https://github.com/PyTorchLightning/pytorch-lightning/pull/13153))
 
-- Fixed `materialize_module` setting a module's child recursively ([#12870](https://github.com/PyTorchLightning/pytorch-lightning/pull/12870))
 
+-
 
-- Fixed the number of references of `LightningModule` so it can be deleted ([#12897](https://github.com/PyTorchLightning/pytorch-lightning/pull/12897))
 
+## [1.6.4] - 2022-06-01
 
-- The model wrapper returned by `LightningLite.setup()` now properly supports pass-through when looking up attributes ([#12597](https://github.com/PyTorchLightning/pytorch-lightning/pull/12597))
-
+### Added
 
-- Avoid redundant callback restore warning while tuning ([#13026](https://github.com/PyTorchLightning/pytorch-lightning/pull/13026))
+- Added all DDP params to be exposed through hpu parallel strategy ([#13067](https://github.com/PyTorchLightning/pytorch-lightning/pull/13067))
 
+### Changed
 
-- Fixed torchelastic detection with non-distributed installations ([#13142](https://github.com/PyTorchLightning/pytorch-lightning/pull/13142))
+- Keep `torch.backends.cudnn.benchmark=False` by default (unlike in v1.6.{0-4}) after speed and memory problems depending on the data used. Please consider tuning `Trainer(benchmark)` manually. ([#13154](https://github.com/PyTorchLightning/pytorch-lightning/pull/13154))
+- Prevent modification of `torch.backends.cudnn.benchmark` when `Trainer(benchmark=...)` is not set ([#13154](https://github.com/PyTorchLightning/pytorch-lightning/pull/13154))
 
+### Fixed
 
+- Fixed an issue causing zero-division error for empty dataloaders ([#12885](https://github.com/PyTorchLightning/pytorch-lightning/pull/12885))
+- Fixed mismatching default values for the types of some arguments in the DeepSpeed and Fully-Sharded strategies which made the CLI unable to use them ([#12989](https://github.com/PyTorchLightning/pytorch-lightning/pull/12989))
+- Avoid redundant callback restore warning while tuning ([#13026](https://github.com/PyTorchLightning/pytorch-lightning/pull/13026))
+- Fixed `Trainer(precision=64)` during evaluation which now uses the wrapped precision module ([#12983](https://github.com/PyTorchLightning/pytorch-lightning/pull/12983))
+- Fixed an issue to use wrapped `LightningModule` for evaluation during `trainer.fit` for `BaguaStrategy` ([#12983](https://github.com/PyTorchLightning/pytorch-lightning/pull/12983))
 - Fixed an issue wrt unnecessary usage of habana mixed precision package for fp32 types ([#13028](https://github.com/PyTorchLightning/pytorch-lightning/pull/13028))
-
-
+- Fixed the number of references of `LightningModule` so it can be deleted ([#12897](https://github.com/PyTorchLightning/pytorch-lightning/pull/12897))
+- Fixed `materialize_module` setting a module's child recursively ([#12870](https://github.com/PyTorchLightning/pytorch-lightning/pull/12870))
 - Fixed issue where the CLI could not pass a `Profiler` to the `Trainer` ([#13084](https://github.com/PyTorchLightning/pytorch-lightning/pull/13084))
-
-
-- Fixed issue where the CLI fails with certain torch objects ([#13153](https://github.com/PyTorchLightning/pytorch-lightning/pull/13153))
-
-
+- Fixed torchelastic detection with non-distributed installations ([#13142](https://github.com/PyTorchLightning/pytorch-lightning/pull/13142))
 - Fixed logging's step values when multiple dataloaders are used during evaluation ([#12184](https://github.com/PyTorchLightning/pytorch-lightning/pull/12184))
-
-
--
+- Fixed epoch logging on train epoch end ([#13025](https://github.com/PyTorchLightning/pytorch-lightning/pull/13025))
+- Fixed `DDPStrategy` and `DDPSpawnStrategy` to initialize optimizers only after moving the module to the device ([#11952](https://github.com/PyTorchLightning/pytorch-lightning/pull/11952))
 
 
 ## [1.6.3] - 2022-05-03