[Numpy-discussion] Built Lapack, Atlas from source.... now numpy.linalg.eig() hangs at 100% CPU

[Chris Colbert]

numpy.test() doesn't return (after 2 hours of running at 100% at least). I
imagine its hanging on this eig function as well.

Chris

On Fri, Mar 27, 2009 at 10:12 AM, David Cournapeau <
david at ar.media.kyoto-u.ac.jp> wrote:

> Chris Colbert wrote:
> > Hey Everyone,
> >
> > I built Lapack and Atlas from source last night on a C2D running
> > 32-bit Linux Mint 6.  I ran 'make check' and 'make time' on the lapack
> > build, and ran the dynamic LU decomp test on atlas. Both packages
> > checked out fine.
> >
> > Then, I built numpy and scipy against them using the appropriate flags
> > in site.cfg for the parallel thread atlas libraries. This seems to
> > have worked properly as numpy.dot() utilizes both cores at 100% on
> > very large arrays. I have also done id(numpy.dot) and
> > id(numpy.core.multiarray.dot) and verified that the two ids are
> > different.
> >
> > So I believe the build went properly. The problem I am having now is
> > that numpy.linalg.eig (and the eig functions in scipy) hang at 100%
> > CPU and never returns (no matter the array size). Numpy.test() hung as
> > well, I'm assuming for this same reason. I have included the
> > configurations below. Any idea what would cause this?
>
> What does numpy.test() returns ? This smells like a fortran runtime
> problem,
>
> cheers,
>
> David
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