Unit tests + Refactoring + Small inference optimization#28
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Unit tests + Refactoring + Small inference optimization#28
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PetarStam
commented
Apr 2, 2026
PetarStam
commented
- Add unit tests for models and delete unused models
- Refactor training script and write unit tests
- Adapt generate.py for inference with torch compile for small performance boost
- Bug fixes
added 13 commits
March 19, 2026 16:00
- _backward_arg_mapper not needed anymore
- add training manager class to handle model creation, loading weights, runing validation, data preparation - extract simple logic into train_helpers and write tests for new methods - extend GridData with unnified to method for both numpy and torch conversion
- added tests for training_manager and main from train.py - extracted target reshaping and flipping into training manager and generate.py (for non-real target)
- for torch compile to work at inference, numpy can't be used
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