On Tue, Jun 11, 2013 at 2:09 PM, Matthew Brett <[email protected]>wrote:
> Hi, > > On Tue, Jun 11, 2013 at 5:17 AM, Pauli Virtanen <[email protected]> wrote: > > David Cournapeau <cournape <at> gmail.com> writes: > > [clip] > >> What is the default ABI used on homebrew ? I think we should just > >> follow that, given that Apple cannot figure it out. > > > > I think for Scipy homebrew uses the Gfortran ABI: > > https://trac.macports.org/browser/trunk/dports/python/py-scipy/Portfile > > > > But that's probably the wrong thing to do, it doesn't work: > > http://trac.macports.org/ticket/36694 > > > > For Octave, they have -ff2c: > > https://trac.macports.org/browser/trunk/dports/math/octave/Portfile > > > > *** > > > > A third option (maybe the best one) could be to add an ABI check > > to numpy.distutils BLAS/LAPACK detection --- compile a small test > > program that checks SDOT/CDOTU/DDOT etc., and refuse to use the > > BLAS/LAPACK libraries if they give incorrect results. After that, > > we can also remove the sdot/cdotu wrappers. > > > > This approach is used by Octave. > > > > This leaves the problem of dealing with Fortran ABI to those in > > charge of the build environment, e.g., macports, Enthought, ..., > > who are also in the best position to pick the correct solution > > per each platform supported. > > > > AFAIK custom compiler flags can be injected via FOPT/FFLAGS/LDFLAGS, > > so doing something like > > > > export FOPT="-ff2c" > > > > or > > > > export LDFLAGS="-ldotwrp -lblas" > > > > works? This makes things a bit more complicated to the builder, an > > issue that can be solved with documentation, and keeping that up to > > date is easier than hardcoding stuff into numpy.distutils. > > What will be the performance drop for the default OSX installer > version of numpy, if we drop Accelerate / veclib support? > Answer on scipy-dev: http://article.gmane.org/gmane.comp.python.scientific.devel/17864 Summary: it depends. If anyone knows of better benchmarks, please share. Joern Hees just wrote up how to install with OpenBLAS, if you want to know for your application you can give it a try: http://joernhees.de/blog/2013/06/08/mac-os-x-10-8-scientific-python-with-homebrew/ Ralf
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