[Changelog] Update to 0.3.2

CHANGELOG.md

@@ -8,8 +8,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 Please add your functional changes to the appropriate section in the PR.
 Keep it human-readable, your future self will thank you!
 
-## [Unreleased](https://github.com/ecmwf/anemoi-training/compare/0.3.1...HEAD)
+## [Unreleased](https://github.com/ecmwf/anemoi-training/compare/0.3.2...HEAD)
+
+## [0.3.2 - Multiple Fixes, Checkpoint updates, Stretched-grid/LAM updates](https://github.com/ecmwf/anemoi-training/compare/0.3.1...0.3.2) - 2024-12-19
+
 ### Fixed
+
 - Not update NaN-weight-mask for loss function when using remapper and no imputer [#178](https://github.com/ecmwf/anemoi-training/pull/178)
 - Dont crash when using the profiler if certain env vars arent set [#180](https://github.com/ecmwf/anemoi-training/pull/180)
 - Remove saving of metadata to training checkpoint [#57](https://github.com/ecmwf/anemoi-training/pull/190)
@@ -19,8 +23,10 @@ Keep it human-readable, your future self will thank you!
 - Identify stretched grid models based on graph rather than configuration file [#204](https://github.com/ecmwf/anemoi-training/pull/204)
 
 ### Added
+
 - Introduce variable to configure: transfer_learning -> bool, True if loading checkpoint in a transfer learning setting.
-- <b> TRANSFER LEARNING</b>: enabled new functionality. You can now load checkpoints from different models and different training runs.
+-
+<b> TRANSFER LEARNING</b>: enabled new functionality. You can now load checkpoints from different models and different training runs.
 - Effective batch size: `(config.dataloader.batch_size["training"] * config.hardware.num_gpus_per_node * config.hardware.num_nodes) // config.hardware.num_gpus_per_model`.
   Used for experiment reproducibility across different computing configurations.
 - Added a check for the variable sorting on pre-trained/finetuned models [#120](https://github.com/ecmwf/anemoi-training/pull/120)
@@ -33,11 +39,13 @@ Keep it human-readable, your future self will thank you!
 ### Changed
 
 ### Removed
+
 - Removed the resolution config entry [#120](https://github.com/ecmwf/anemoi-training/pull/120)
 
 ## [0.3.1 - AIFS v0.3 Compatibility](https://github.com/ecmwf/anemoi-training/compare/0.3.0...0.3.1) - 2024-11-28
 
 ### Changed
+
 - Perform full shuffle of training dataset [#153](https://github.com/ecmwf/anemoi-training/pull/153)
 
 ### Fixed
@@ -47,11 +55,11 @@ Keep it human-readable, your future self will thank you!
 - Allow histogram and spectrum plot for one variable [#165](https://github.com/ecmwf/anemoi-training/pull/165)
 
 ### Added
+
 - Introduce variable to configure (Cosine Annealing) optimizer warm up [#155](https://github.com/ecmwf/anemoi-training/pull/155)
 - Add reader groups to reduce CPU memory usage and increase dataloader throughput [#76](https://github.com/ecmwf/anemoi-training/pull/76)
 - Bump `anemoi-graphs` version to 0.4.1 [#159](https://github.com/ecmwf/anemoi-training/pull/159)
 
-
 ## [0.3.0 - Loss & Callback Refactors](https://github.com/ecmwf/anemoi-training/compare/0.2.2...0.3.0) - 2024-11-14
 
 ### Fixed
@@ -60,8 +68,10 @@ Keep it human-readable, your future self will thank you!
 - Refactored callbacks. [#60](https://github.com/ecmwf/anemoi-training/pulls/60)
   - Updated docs [#115](https://github.com/ecmwf/anemoi-training/pull/115)
   - Fix enabling LearningRateMonitor [#119](https://github.com/ecmwf/anemoi-training/pull/119)
+
 - Refactored rollout [#87](https://github.com/ecmwf/anemoi-training/pulls/87)
   - Enable longer validation rollout than training
+
 - Expand iterables in logging [#91](https://github.com/ecmwf/anemoi-training/pull/91)
   - Save entire config in mlflow
 
@@ -71,8 +81,10 @@ Keep it human-readable, your future self will thank you!
 - Included more loss functions and allowed configuration [#70](https://github.com/ecmwf/anemoi-training/pull/70)
 - Include option to use datashader and optimised asyncronohous callbacks [#102](https://github.com/ecmwf/anemoi-training/pull/102)
   - Fix that applies the metric_ranges in the post-processed variable space [#116](https://github.com/ecmwf/anemoi-training/pull/116)
+
 - Allow updates to scalars [#137](https://github.com/ecmwf/anemoi-training/pulls/137)
   - Add without subsetting in ScaleTensor
+
 - Sub-hour datasets [#63](https://github.com/ecmwf/anemoi-training/pull/63)
 - Add synchronisation workflow [#92](https://github.com/ecmwf/anemoi-training/pull/92)
 - Feat: Anemoi Profiler compatible with mlflow and using Pytorch (Kineto) Profiler for memory report [38](https://github.com/ecmwf/anemoi-training/pull/38/)
@@ -82,7 +94,6 @@ Keep it human-readable, your future self will thank you!
 - Functionality to change the weight attribute of nodes in the graph at the start of training without re-generating the graph. [#136] (https://github.com/ecmwf/anemoi-training/pull/136)
 - Custom System monitor for Nvidia and AMD GPUs [#147](https://github.com/ecmwf/anemoi-training/pull/147)
 
-
 ### Changed
 
 - Renamed frequency keys in callbacks configuration. [#118](https://github.com/ecmwf/anemoi-training/pull/118)