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Add fallback for sparsegpt inversion failure #1578
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Signed-off-by: Kyle Sayers <[email protected]>
👋 Hi! Thank you for contributing to llm-compressor. Please add the ready label when the PR is ready for review. Note: This is required to complete the testing suite, please only add the label once the PR is code complete and local testing has been performed. |
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Summary of Changes
Hello @kylesayrs, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request enhances the robustness of the SparseGPT weight sparsification process by introducing a graceful fallback for numerical instability during Hessian inversion. Instead of crashing when a torch._C._LinAlgError
occurs, the system will now log a warning and continue execution by providing a default identity matrix for the inverse Hessian, thereby preventing random failures and improving overall stability.
Highlights
- Error Handling & Robustness: Implemented a fallback mechanism for
torch._C._LinAlgError
during Hessian inversion in thesparsify_weight
function. Previously, this error would halt execution, but now it logs a warning and proceeds by initializingHinv
andH
as identity matrices.
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Code Review
This pull request introduces a fallback mechanism for Hessian matrix inversion failures, enhancing the robustness of the SparseGPT process. My review identifies a critical issue where the logger
object is used in the new code without being imported, which would lead to a runtime error. I've provided feedback on this and a minor suggestion for code clarity.
Signed-off-by: Kyle Sayers <[email protected]>
Purpose