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- Introduced TrainingConfig dataclass to consolidate training parameters. - Implemented SWA functionality in AbstractSingleModel with methods to enable, update, swap, and restore weights. - Updated Sup3rGan's training process to incorporate SWA, allowing for improved model performance. - Added tests for SWA functionality, including basic training, weight averaging, and validation of SWA behavior. - Ensured backward compatibility with existing training parameters while promoting the use of TrainingConfig.
…aining config for SWA
- Updated xarray dependency version in pyproject.toml to >=2025.0. - Added support for Zarr file loading in the Loader class by mapping 'zarr' to LoaderNC. - Modified BaseLoader documentation to include Zarr as a supported format. - Refactored LoaderNC methods to be class methods where appropriate. - Enhanced xr_open_mfdataset to auto-detect Zarr files and set the appropriate engine. - Added a new test case for loading Zarr files to ensure compatibility with existing loaders.
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