On Mon, Mar 28, 2016 at 2:33 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?
Here is an update on progress: We've now done a lot of testing on the Linux OpenBLAS wheels. They pass all tests on Linux, with Intel kernels: https://travis-ci.org/matthew-brett/manylinux-testing/builds/120825485 http://nipy.bic.berkeley.edu/builders/manylinux-2.7-debian/builds/22 http://nipy.bic.berkeley.edu/builders/manylinux-2.7-fedora/builds/10 Xianyi, the maintainer of OpenBLAS, is very helpfully running the OpenBLAS buildbot nightly tests with numpy and scipy: http://build.openblas.net/builders There is still one BLAS-related failure on these tests on AMD chips: https://github.com/xianyi/OpenBLAS-CI/issues/10 I propose to hold off distributing the OpenBLAS wheels until the OpenBLAS tests are clean on the OpenBLAS buildbots - any objections? Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
