EFF Speed-up MiniBatchDictionaryLearning by avoiding multiple validation#25490
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jjerphan merged 5 commits intoscikit-learn:mainfrom Mar 7, 2023
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I opened an alternative in #25493, which involves a lot less refactoring. |
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Well now that it's done :) |
jjerphan
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Nice observation, @jeremiedbb! This LGTM.
I just have one remark. I also think we can merge this PR independently from #25493 as @ogrisel mentioned in #25490 (review) once a changelog entry is added. What do you think?
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I added a what's new entry. Yes, let's merge this one first. |
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MinibatchDictionaryLearning calls public functions that call public classes themselves. We end up validating the parameters and the input/dict twice per minibatch. When the batch size is large it has barely no impact but for small batch sizes it can be very detrimental.
For instance, here's a profiling result in the extreme case batch_size=1
This PR removes the first one. It's a param validation coming from
sparse_encode. The profiling now givesthe first block is gone. I intend to deal with the other ones in follow up PRs