[Wheel-builders] BLAS/LAPACK for manylinux1 wheels

Nathaniel Smith njs at pobox.com
Tue Mar 8 15:30:06 EST 2016


On Mar 8, 2016 11:16, "Matthew Brett" <matthew.brett at gmail.com> wrote:
>
> On Tue, Mar 8, 2016 at 10:53 AM, Matthew Brett <matthew.brett at gmail.com>
wrote:
> > Hi,
> >
> > On Tue, Mar 8, 2016 at 4:56 AM, Olivier Grisel <olivier.grisel at ensta.org>
wrote:
> >> If we can run all the scipy stack tests (say for instance numpy,
> >> scipy, pandas, scikit-learn, scikit-image, statsmodel) with the
> >> openblas built on the manylinux1 docker image using Matthew's script
> >> on a variety of boxes, then I am fine with using openblas. If running
> >> the tests reveals unresolved bugs / crashes in OpenBLAS, then I think
> >> we should go with atlas in the short term and re-examine that decision
> >> in a couple of months.
> >
> > At the moment, we know of
> > https://github.com/xianyi/OpenBLAS/issues/783 which is not yet fixed
> > in master.
> >
> > I see that Zhang Xianyi has set up OpenBLAS buildbot runs already:
> >
> > https://github.com/xianyi/OpenBLAS/issues/785
> >
> > I guess we could add to those with nightly build / test runs.
> >
> > We need to decide what to do now though.  Should we work on building
> > up some heavy-duty CI to convince ourselves OpenBLAS is reliable and
> > commit after that, or should we accept the risk now, on the basis that
> > we will have some chance of errors / crashes?
>
> Specifically - if we could run the heavy-duty CI now, with some
> version of OpenBLAS, where the numpy scipy scikit-learn pandas
> statsmodels tests all pass, on a range of machines, would that be
> enough to make us commit to OpenBLAS, both now and in the long term?

I think a lot of the people who might care about this aren't on this
mailing list?

-n
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