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Don't use `numpy.append`
See original GitHub issueIn some parts of Optuna, numpy.append is used. However, dynamically changing numpy.ndarray is slow, so for performance, it is better to append as a list first, and then cast with numpy.asarray. We are looking for someone to list and fix the parts where numpy.append is used.
Issue Analytics
- State:
- Created 3 years ago
- Comments:5 (3 by maintainers)
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@HideakiImamura I think that this issue can be closed.
@jeromepatel Please do not worry that your kindful proposal was not accepted 😢
I suppose you’re referring to code that repeatedly calls
numpy.appendinside a loop. Allocating new arrays in each iteration is inefficient and I agree that such code can be optimized. Just leaving a note that this can be done in different ways. For instance, if you know the loop size, you could perform a single allocation prior to the loop.