[Numpy-discussion] Using OpenBLAS for manylinux wheels

Nathaniel Smith njs at pobox.com
Wed Mar 30 17:30:47 EDT 2016

If OpenBLAS is looking like the easiest to support solution, then no
objections here. (If 0.2.17 is genuinely working well, then maybe we want
to switch to it on Windows too. I know Xianyi disabled some of the
problematic kernels for us -- maybe that's enough. Mostly I just don't want
to end up in the situation where we're trying to support a bunch of
differently broken builds on different platforms.)
On Mar 28, 2016 2:34 PM, "Matthew Brett" <matthew.brett at gmail.com> wrote:

> Hi,
> Olivier Grisel and I are working on building and testing manylinux
> wheels for numpy and scipy.
> We first thought that we should use ATLAS BLAS, but Olivier found that
> my build of these could be very slow [1].  I set up a testing grid [2]
> which found test errors for numpy and scipy using ATLAS wheels.
> On the other hand, the same testing grid finds no errors or failures
> [3] using latest OpenBLAS (0.2.17) and running tests for:
> numpy
> scipy
> scikit-learn
> numexpr
> pandas
> statsmodels
> This is on the travis-ci ubuntu VMs.
> Please do test on your own machines with something like this script [4]:
> source test_manylinux.sh
> We have worried in the past about the reliability of OpenBLAS, but I
> find these tests reassuring.
> Are there any other tests of OpenBLAS that we should run to assure
> ourselves that it is safe to use?
> Matthew
> [1]
> https://github.com/matthew-brett/manylinux-builds/issues/4#issue-143530908
> [2] https://travis-ci.org/matthew-brett/manylinux-testing/builds/118780781
> [3] I disabled a few pandas tests which were failing for reasons not
> related to BLAS.  Some of the statsmodels test runs time out.
> [4] https://gist.github.com/matthew-brett/2fd9d9a29e022c297634
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