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
