feat(scalarization): add GradNormScalarizer implementation#734
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powerofaisinstudy-debug wants to merge 6 commits into
Closed
feat(scalarization): add GradNormScalarizer implementation#734powerofaisinstudy-debug wants to merge 6 commits into
powerofaisinstudy-debug wants to merge 6 commits into
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Summary:
This pull request implements the GradNormScalarizer, a method for balancing multi-task learning losses by dynamically adjusting gradient norms.
Key Changes:
Added GradNormScalarizer class in gradnorm.py.
Implemented the loss balancing logic based on the GradNorm paper (Chen et al.).
Integrated with the base Scalarizer interface.
Added necessary type hints and docstrings.
Additional Context:
This implementation addresses the need for dynamic loss balancing within the TorchJD framework.
Pre-commit hooks and type checks have been verified.