[Numpy-discussion] building numpy with atlas on ubuntu edgy

[Charles R Harris]

On 4/15/07, David Cournapeau <david at ar.media.kyoto-u.ac.jp> wrote:
>
> Christian K wrote:
> >
> > Thanks, but that didn't help:
> >
> > atlas_info:
> >   libraries lapack not found in /usr/lib/sse2
> >   libraries f77blas,cblas,atlas not found in /usr/lib/atlas
> >   libraries lapack_atlas not found in /usr/lib/atlas
> >   libraries lapack not found in /usr/lib/sse2
> >   libraries f77blas,cblas,atlas not found in /usr/lib
> >   libraries lapack_atlas not found in /usr/lib
> > numpy.distutils.system_info.atlas_info
> > /media/hda6/home/ck/prog/scipy/numpy/numpy/distutils/system_info.py:903:
> > UserWarning:
> > *********************************************************************
> >     Could not find lapack library within the ATLAS installation.
> > *********************************************************************
> >
> >   warnings.warn(message)
> >   FOUND:
> >     libraries = ['f77blas', 'cblas', 'atlas']
> >     library_dirs = ['/usr/lib/sse2']
> >     language = c
> >     define_macros = [('ATLAS_WITHOUT_LAPACK', None)]
> >
> > lapack_info:
> >   libraries lapack not found in /usr/lib/sse2
> >   libraries lapack not found in /usr/lib
> >   NOT AVAILABLE
> >
> >
> > Christian
> >
> > _______________________________________________
> > Numpy-discussion mailing list
> > Numpy-discussion at scipy.org
> > http://projects.scipy.org/mailman/listinfo/numpy-discussion
> >
> >
> On Ubuntu and debian, you do NOT need any site.cfg to compile numpy with
> atlas support. Just install the package atlas3-base-dev, and you are
> done. The reason is that when *compiling* a software which needs atlas,
> the linker will try to find libblas.so in /usr/lib, not in
> /usr/lib/sse2. If you install atlas3-base-dev, the package will install
> those at the correct locations. I have updated the instructions for
> Ubuntu (also works for debian) on the wiki a few days ago:
>
>
> http://www.scipy.org/Installing_SciPy/Linux#head-c5a062b2ecf76f746d78cfcde1dae00ae26109fe
>
> Note that if you have also optimized version installed (sse, sse2), it
> will use those automatically when you launch numpy (you can check by
> doing ldd on the file numpy/core/_dotblas.so inside your numpy
> installation.


Be aware that on recent 64 bit Intel processors running a 64 bit OS the base
Atlas package appears to be buggy. You might be better off building your own
version, on a fast machine it won't take long.

Chuck
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