fix(mypy): resolve typing issues in post-training and model files #3939
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… files This commit achieves zero mypy errors across all 430 source files by addressing type issues in post-training providers, model implementations, and testing infrastructure. Key changes: - Created HFAutoModel Protocol for HuggingFace models to provide type safety without requiring complete type stubs - Added module overrides in pyproject.toml for libraries lacking type stubs (torchtune, fairscale, torchvision, datasets, etc.) - Fixed type issues in databricks provider and api_recorder Using centralized mypy.overrides instead of scattered inline suppressions provides cleaner code organization.
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Merged into PR #3938 to combine related changes. |
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Fixes mypy errors in post-training providers and llama model files. Main changes:
Note: ~1,200 errors remain in excluded files (see pyproject.toml exclude list).