[Changelog] Update to 0.3.1

CHANGELOG.md

@@ -8,55 +8,78 @@ 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/0.3.0...HEAD)
+## [Unreleased](https://github.com/ecmwf/anemoi-training/compare/0.3.1...HEAD)
+
+## [0.3.1 - AIFS v0.3 Compatibility](https://github.com/ecmwf/anemoi-training/compare/0.3.0...0.3.1) - 2024-11-28
+
 ### Fixed
-- Update `n_pixel` used by datashader to better adapt across resolutions #152
 
+- Update `n_pixel` used by datashader to better adapt across resolutions #152
 
 - Fixed bug in power spectra plotting for the n320 resolution.
+
 - 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)
 
 ### Changed
+
 ## [0.3.0 - Loss & Callback Refactors](https://github.com/ecmwf/anemoi-training/compare/0.2.2...0.3.0) - 2024-11-14
 
 ### Changed
+
 - Increase the default MlFlow HTTP max retries [#111](https://github.com/ecmwf/anemoi-training/pull/111)
 
 ### Fixed
 
 - Rename loss_scaling to variable_loss_scaling [#138](https://github.com/ecmwf/anemoi-training/pull/138)
+
 - 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
 
 
 ### Added
 
 - 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)
+
+  - 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/)
+
 - Feat: Save a gif for longer rollouts in validation [#65](https://github.com/ecmwf/anemoi-training/pull/65)
+
 - New limited area config file added, limited_area.yaml. [#134](https://github.com/ecmwf/anemoi-training/pull/134/)
+
 - New stretched grid config added, stretched_grid.yaml [#133](https://github.com/ecmwf/anemoi-training/pull/133)
+
 - 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)