On Thu, Nov 5, 2015 at 5:11 AM, Nathaniel Smith <n...@pobox.com> wrote:
> On Wed, Nov 4, 2015 at 4:40 PM, Stefan Seefeld <ste...@seefeld.name>
> wrote:
> > Hello,
> >
> > is there a way to query Numpy for information about backends (BLAS,
> > LAPACK, etc.) that it was compiled against, including compiler / linker
> > flags that were used ?
> > Consider the use-case where instead of calling a function such as
> > numpy.dot() I may want to call the appropriate backend directly using
> > the C API as an optimization technique. Is there a straight-forward way
> > to do that ?
> >
> > In a somewhat related line of thought: Is there a way to see what
> > backends are available during Numpy compile-time ? I'm looking for a
> > list of flags to pick ATLAS/OpenBLAS/LAPACK/MKL or any other backend
> > that might be available, combined with variables (compiler and linker
> > flags, notably) I might have to set. Is that information available at
> all ?
>
> NumPy does reveal some information about its configuration and
> numpy.distutils does provide helper methods, but I'm not super
> familiar with it so I'll let others answer that part.
>
np.show_config()
Gives:
lapack_opt_info:
libraries = ['lapack', 'f77blas', 'cblas', 'atlas']
library_dirs = ['/usr/lib/atlas-base/atlas', '/usr/lib/atlas-base']
define_macros = [('NO_ATLAS_INFO', -1)]
language = f77
include_dirs = ['/usr/include/atlas']
openblas_lapack_info:
NOT AVAILABLE
....
<etc>
It's a function with no docstring and not in the html docs (I think), so
that can certainly be improved.
Ralf
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