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Autotune too slow for backends other than numpy #20

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maniospas opened this issue Jan 13, 2023 · 0 comments

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maniospas commented Jan 13, 2023

Investigate why filter tuning can be exceptionally slow for backends other than numpy.

Focus on matvec first.
Slowness persists when L1 is used as optimization measure instead of AUC for matvec, investigate potentially slow operations (e.g., indexing?) in that project.

Related tests: None (change backends in the current compare_filter_tuning.py in the playground)

maniospas self-assigned this

maniospas added the enhancement label

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