Did you consider to check the experimental binaries on https://code.google.com/p/mingw-w64-static/ for Python-2.7? These binaries has been build with with a customized mingw-w64 toolchain. These builds are fully statically build and are link against the MSVC90 runtime libraries (gcc runtime is linked statically) and OpenBLAS. Carl 2014-01-26 Pauli Virtanen <pav@iki.fi>
26.01.2014 14:44, Dinesh Vadhia kirjoitti:
This conversation gets discussed often with Numpy developers but since the requirement for optimized Blas is pretty common these days, how about distributing Numpy with OpenBlas by default? People who don't want optimized BLAS or OpenBLAS can then edit the site.cfg file to add/remove. I can never remember if Numpy comes with Atlas by default but either way, if using MKL is not feasible because of its licensing issues then Numpy has to be re-compiled with OpenBLAS (for example). Why not make it easier for developers to use Numpy with an in-built optimized Blas.
The Numpy Windows binaries distributed in the numpy project at sourceforge.net are compiled with ATLAS, which should count as an optimized BLAS. I don't recall what's the situation with OSX binaries, but I'd believe they're with Atlas too.
If you are suggesting bundling OpenBLAS with Numpy source releases --- arguments against:
OpenBLAS is big, and still rapidly moving. Moreover, bundling it with Numpy does not really make it any easier to build.
-- Pauli Virtanen
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