[MRG+2] use manylinux dev wheels for numpy / scipy#8536
Merged
raghavrv merged 2 commits intoscikit-learn:masterfrom Mar 7, 2017
Merged
[MRG+2] use manylinux dev wheels for numpy / scipy#8536raghavrv merged 2 commits intoscikit-learn:masterfrom
raghavrv merged 2 commits intoscikit-learn:masterfrom
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Use daily manylinux wheels for numpy and scipy, instead of soon-to-be-discontinued per-commit Precise wheels.
Member
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LGTM, thanks |
Member
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Why did you remove the atlas libraries? It seems to me that an optimized blas would be useful. Do we have others on the system? |
Contributor
Author
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I removed the blas libraries thinking that you didn't need them anymore, now you are not using the numpy wheels that depend on them. Is that not correct? |
Member
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I am pretty sure that we use a blas when it's available, for instance in sklearn/utils/weight_vector.pyx. We carry around our own blas headers (in sklearn/src/cblas) but I would rather rely on a proper blas implementation for building wheels. What do you think? It seems to me that it would be better to have a good blas on the build system. Ideally openblas, though. |
Contributor
Author
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I may have misunderstood, but as far as I know the wheel-building repo is https://github.com/MacPython/scikit-learn-wheels - and you are not building wheels for redistribution here. If you sometimes build with an external blas, and sometimes without, I guess the best option would be to have a build matrix entry for each option? |
Member
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but as far as I know the wheel-building repo is https://github.com/MacPython/scikit-learn-wheels - and you are not building wheels for redistribution here.
Good point. I got confused.
If you sometimes build with an external blas, and sometimes without, I guess the best option would be to have a build matrix entry for each option?
I'd rather avoid added one option to our build matrix, it's already big
enough, and consumming a lot of resources. The question is whether the
default should be with atlas or without.
If I compare the time of travis on your PR:
https://travis-ci.org/scikit-learn/scikit-learn/builds/207824847
to another recent build:
https://travis-ci.org/scikit-learn/scikit-learn
It seems to me that when there is atlas installed, the tests are
significantly faster (it could be something else, though). Hence, I am
more inclined to go for the atlas solution.
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Contributor
Author
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Hmm - looking at |
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scikit-learn can link against BLAS libraries still at the same location as they were duing numpy build.
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Contributor
Author
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I reverted the change - so ATLAS is always installed now, as it was before this PR. |
Member
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LGTM |
Member
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Thanks @matthew-brett 🎉 |
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herilalaina
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Mar 26, 2017
* MAINT: use manylinux dev wheels for numpy / scipy Use daily manylinux wheels for numpy and scipy, instead of soon-to-be-discontinued per-commit Precise wheels. * BF: add back ATLAS install for ubuntu build entry scikit-learn can link against BLAS libraries still at the same location as they were duing numpy build.
massich
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Apr 26, 2017
* MAINT: use manylinux dev wheels for numpy / scipy Use daily manylinux wheels for numpy and scipy, instead of soon-to-be-discontinued per-commit Precise wheels. * BF: add back ATLAS install for ubuntu build entry scikit-learn can link against BLAS libraries still at the same location as they were duing numpy build.
Sundrique
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Jun 14, 2017
* MAINT: use manylinux dev wheels for numpy / scipy Use daily manylinux wheels for numpy and scipy, instead of soon-to-be-discontinued per-commit Precise wheels. * BF: add back ATLAS install for ubuntu build entry scikit-learn can link against BLAS libraries still at the same location as they were duing numpy build.
NelleV
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Aug 11, 2017
* MAINT: use manylinux dev wheels for numpy / scipy Use daily manylinux wheels for numpy and scipy, instead of soon-to-be-discontinued per-commit Precise wheels. * BF: add back ATLAS install for ubuntu build entry scikit-learn can link against BLAS libraries still at the same location as they were duing numpy build.
paulha
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Aug 19, 2017
* MAINT: use manylinux dev wheels for numpy / scipy Use daily manylinux wheels for numpy and scipy, instead of soon-to-be-discontinued per-commit Precise wheels. * BF: add back ATLAS install for ubuntu build entry scikit-learn can link against BLAS libraries still at the same location as they were duing numpy build.
maskani-moh
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Nov 15, 2017
* MAINT: use manylinux dev wheels for numpy / scipy Use daily manylinux wheels for numpy and scipy, instead of soon-to-be-discontinued per-commit Precise wheels. * BF: add back ATLAS install for ubuntu build entry scikit-learn can link against BLAS libraries still at the same location as they were duing numpy build.
jwjohnson314
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Dec 18, 2017
* MAINT: use manylinux dev wheels for numpy / scipy Use daily manylinux wheels for numpy and scipy, instead of soon-to-be-discontinued per-commit Precise wheels. * BF: add back ATLAS install for ubuntu build entry scikit-learn can link against BLAS libraries still at the same location as they were duing numpy build.
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Use daily manylinux wheels for numpy and scipy, instead of
soon-to-be-discontinued per-commit Precise wheels.