Releases: ai2cm/ace
Releases · ai2cm/ace
2024.12.0
What's Changed
This release contains many internal changes for ACE code. However, all configuration options accessible by the entrypoints of the fme
package (i.e. fme.ace.train
, fme.ace.inference
and fme.ace.evaluator
) have had no breaking changes.
The following lists are not complete but just a highlight of changes which may be relevant to users.
Bug fixes:
- resolved transient bug that sometimes occurred in
XarrayDataset
when trying to read the image shape from a scalar field - when using
n_repeats
greater than 1,XarrayDataset
now correctly increments the values in the returnedtime
arrays
New features:
- ACE works on Apple Silicon! Set the environmental variable
FME_USE_MPS=1
to use the pytorch MPS backend. Make sure to have the latest version of pytorch installed. This gives about a 5x speed up over running on CPU (tested on a Macbook Pro M3 Max). - add perturbations to sea surface temperature during inference (see
ForcingDataLoaderConfig.perturbations
)
Refactors:
- deduplicated some inference code by using generics. Now the
fme.ace.inference
andfme.ace.evaluator
entrypoints now share more code.
Full Changelog: 2024.9.0...2024.12.0
2024.9.0
What's Changed
- Update README to link to zenodo repo with checkpoint by @oliverwm1 in #3
- New public release of FME code by @oliverwm1 in #5
- Fix instruction for installing from GitHub by @oliverwm1 in #7
- Add readthedocs config by @mcgibbon in #6
- Add docs badge and link by @oliverwm1 in #8
- Add link to zenodo archive with checkpoint by @oliverwm1 in #9
- Add link to E3SMv2-trained paper and checkpoint by @oliverwm1 in #12
- Add link to published EAMv2 paper in JGR-ML by @jpdunc23 in #16
- Add missing init files by @oliverwm1 in #17
- Update for PyPI release by @frodre in #20
New Contributors
- @oliverwm1 made their first contribution in #3
- @mcgibbon made their first contribution in #6
- @jpdunc23 made their first contribution in #16
- @frodre made their first contribution in #20
Full Changelog: 2023.12.0...2024.9.0
2023.12.0
Inference code for model described in https://arxiv.org/abs/2310.02074