[Wheel-builders] BLAS/LAPACK for manylinux1 wheels
Matthew Brett
matthew.brett at gmail.com
Tue Mar 8 14:15:14 EST 2016
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?
Matthew
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