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
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