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f-dangel / curvlinops / 24531067658 / 1
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Ran 16 Apr 2026 08:17PM UTC
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16 Apr 2026 07:58PM UTC coverage: 91.803% (+0.6%) from 91.231%
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[ADD] Support pre-conditioner in CG and Neumann inverses (#254)

* Add preconditioner support for CG and Neumann inverse operators

* Add CUDA-gated tests for inverse preconditioner support

* Add more CUDA inverse-operator tests and register cuda marker

* Add CPU efficiency stress tests and optimize inverse preconditioner paths

* Add CPU test asserting preconditioned Neumann outperforms naive

* Add overparameterized single-linear CPU inverse operator test

* Add CUDA smoke tests for KFAC/EKFAC on real Conv/Linear nets

* remove unnecessary tests

* adding example for preconditioning

* remove unecessary modification

* remove the duplicate test in test_inverse.py

* update the precondition logic and update the tests

* add the docstring example and the test

* fix the unnecessary difference

* update Neuamnn preconditioner type

* update the tests, add one test case to test preconditioning with KFAC/EKFAC

* update the inverse.py

* fix the test

* make the parameter compatible with new backend

* update docstring for inverse.py, fix the typos

* update the changelog

* fix ruff lint errors in test_inverse.py

* fix the ruff

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Co-authored-by: liao-disen <dyson.liao@gmail.com>

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