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Fast QR Factorization on GPU #81
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## endogenize_investments #81 +/- ##
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+ Coverage 91.49% 91.68% +0.18%
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Files 40 42 +2
Lines 3387 3464 +77
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+ Hits 3099 3176 +77
Misses 288 288 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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hmgaudecker
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Looks great, thanks!
Haven't looked at the algorithm yet.
In addition to the couple of suggestions on the tests, can you please:
- Set
endogenize_investmentsas the target branch. - Run the pre-commit hooks on your changes (
pixi global install pre-commit,pre-commit run --files src/skillmodels/kalman_filters.pyetc.)
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Thanks a lot! |
There is an Error in the Jax QR Factorization that leads to slow execution for batches of small matrices when calculating the gradient. This PR tries to fix this, by implementing our own QR Factorization that runs much faster when using a GPU.