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.br...@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 > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion >
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