[Numpy-discussion] 64-bit windows numpy / scipy wheels for testing

David Cournapeau cournape at gmail.com
Mon Apr 28 18:29:31 EDT 2014


On Sun, Apr 27, 2014 at 11:50 PM, Matthew Brett <matthew.brett at gmail.com>wrote:

> Aha,
>
> On Sun, Apr 27, 2014 at 3:19 PM, Matthew Brett <matthew.brett at gmail.com>
> wrote:
> > Hi,
> >
> > On Sun, Apr 27, 2014 at 3:06 PM, Carl Kleffner <cmkleffner at gmail.com>
> wrote:
> >> A possible option is to install the toolchain inside site-packages and
> to
> >> deploy it as PYPI wheel or wininst packages. The PATH to the toolchain
> could
> >> be extended during import of the package. But I have no idea, whats the
> best
> >> strategy to additionaly install ATLAS or other third party libraries.
> >
> > Maybe we could provide ATLAS binaries for 32 / 64 bit as part of the
> > devkit package.  It sounds like OpenBLAS will be much easier to build,
> > so we could start with ATLAS binaries as a default, expecting OpenBLAS
> > to be built more often with the toolchain.  I think that's how numpy
> > binary installers are built at the moment - using old binary builds of
> > ATLAS.
> >
> > I'm happy to provide the builds of ATLAS - e.g. here:
> >
> > https://nipy.bic.berkeley.edu/scipy_installers/atlas_builds
>
> I just found the official numpy binary builds of ATLAS:
>
> https://github.com/numpy/vendor/tree/master/binaries
>
> But - they are from an old version of ATLAS / Lapack, and only for 32-bit.
>
> David - what say we update these to latest ATLAS stable?
>

Fine by me (not that you need my approval !).

How easy is it to build ATLAS targetting a specific CPU these days ? I
think we need to at least support nosse and sse2 and above.

David

>
> Cheers,
>
> Matthew
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