2014-02-20 23:56 GMT+01:00 Carl Kleffner <cmkleff...@gmail.com>: > Hi, > > 2014-02-20 23:17 GMT+01:00 Olivier Grisel <olivier.gri...@ensta.org>: > >> I had a quick look (without running the procedure) but I don't >> understand some elements: >> >> - apparently you never tell in the numpy's site.cfg nor the scipy.cfg >> to use the openblas lib nor set the >> library_dirs: how does numpy.distutils know that it should dynlink >> against numpy/core/libopenblas.dll > > > numpy's site.cfg is something like: (64 bit) > > [openblas] > libraries = openblas > library_dirs = D:/devel/mingw64static/x86_64-w64-mingw32/lib > include_dirs = D:/devel/mingw64static/x86_64-w64-mingw32/include > > or (32 bit) > > [openblas] > libraries = openblas > library_dirs = D:/devel32/mingw32static/i686-w64-mingw32/lib > include_dirs = D:/devel32/mingw32static/i686-w64-mingw32/include
Thanks, what I don't understand is how the libopenblas.dll will be found at runtime. Is it a specific "feature" of windows? For instance how would the scipy/linalg/_*.so file know that the libopenblas.dll can be found in $PYTHONPATH/numpy/core? > Please adapt the paths of course and apply the patches to numpy. > >> >> - how to you deal with the link to the following libraries: >> libgfortran.3.dll >> libgcc_s.1.dll >> libquadmath.0.dll >> > You won't need them. I build the toolchain statically. Thus you don't have > to mess up with GCC runtime libs. You can check the dependencies with MS > depends or with ntldd (included in the toolchain) Great! I did not know it was possible. I guess that if we want to replicate that for Linux and Mac we will have to also build custom static GCC toolchains as well. Is there a good reference doc somewhere on how to do so? When googling I only find posts by people who cannot make their toolchain build statically correctly. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
