I built Atlas 3.8.3 which I assume is the newest release. Chris
2009/3/27 Charles R Harris <charlesr.har...@gmail.com> > > > 2009/3/27 Chris Colbert <sccolb...@gmail.com> > >> Hey Everyone, >> >> I built Lapack and Atlas from source last night on a C2D running 32-bit >> Linux Mint 6. I ran 'make check' and 'make time' on the lapack build, and >> ran the dynamic LU decomp test on atlas. Both packages checked out fine. >> >> Then, I built numpy and scipy against them using the appropriate flags in >> site.cfg for the parallel thread atlas libraries. This seems to have worked >> properly as numpy.dot() utilizes both cores at 100% on very large arrays. I >> have also done id(numpy.dot) and id(numpy.core.multiarray.dot) and verified >> that the two ids are different. >> >> So I believe the build went properly. The problem I am having now is that >> numpy.linalg.eig (and the eig functions in scipy) hang at 100% CPU and never >> returns (no matter the array size). Numpy.test() hung as well, I'm assuming >> for this same reason. I have included the configurations below. Any idea >> what would cause this? >> > > This is a problem that used to turn up regularly and was related to the > atlas build. The atlas version can matter here, but I don't know what the > currently recommended atlas version is. > > Chuck > > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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