On Mon, Jun 27, 2016 at 9:46 PM, Matthew Brett <matthew.br...@gmail.com> wrote:
> Hi, > > I just succeeded in getting an automated dual arch build of numpy and > scipy, using OpenBLAS. See the last three build jobs in these two > build matrices: > > https://travis-ci.org/matthew-brett/numpy-wheels/builds/140388119 > https://travis-ci.org/matthew-brett/scipy-wheels/builds/140684673 > > Tests are passing on 32 and 64-bit. > > I didn't upload these to the usual Rackspace container at > wheels.scipy.org to avoid confusion. > > So, I guess the question now is - should we switch to shipping > OpenBLAS wheels for the next release of numpy and scipy? Or should we > stick with the Accelerate framework that comes with OSX? > > In favor of the Accelerate build : faster to build, it's what we've > been doing thus far. > > In favor of OpenBLAS build : allows us to commit to one BLAS / LAPACK > library cross platform, when we have the Windows builds working. > Faster to fix bugs with good support from main developer. No > multiprocessing crashes for Python 2.7. > I'm still a bit nervous about OpenBLAS, see https://github.com/scipy/scipy/issues/6286. That was with version 0.2.18, which is pretty recent. Chuck
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