Thank You.. The problem is resolved On Mon, May 19, 2008 at 10:31 AM, Bruce Southey <[EMAIL PROTECTED]> wrote:
> Nripun Sredar wrote: > > I am running on Windows Xp, Intel Xeon CPU. I'd like to fill in a few > > more things here. If I send 0 in the second and third argument of svd > > then I get the singular_values, but if its 1 then the problem > > persists. I've tried this on sparse and non-sparse matrices. This is > > with the latest windows binaries numpy-1.0.4.win32-py2.5.msi. > > > > > > > > > > On Sat, May 17, 2008 at 2:34 AM, David Cournapeau > > <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>> > > wrote: > > > > Nripun Sredar wrote: > > > I have a sparse matrix 416x52. I tried to factorize this matrix > > using > > > svd from numpy. But it didn't produce a result and looked like it > is > > > in an infinite loop. > > > I tried a similar operation using random numbers in the matrix. > Even > > > this is in an infinite loop. > > > Did anyone else face a similar problem? > > > Can anyone please give some suggestions? > > > > Are you on windows ? What is the CPU on your machine ? I suspect > > this is > > caused by windows binaries which shipped blas/lapack without > > support for > > "old" CPU. > > > > cheers, > > > > David > > _______________________________________________ > > Numpy-discussion mailing list > > Numpy-discussion@scipy.org <mailto:Numpy-discussion@scipy.org> > > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > > > > > ------------------------------------------------------------------------ > > > > _______________________________________________ > > Numpy-discussion mailing list > > Numpy-discussion@scipy.org > > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > > Hi, > The issue relates to the closed ticket 627: > http://www.scipy.org/scipy/numpy/ticket/627 > > Please update to the latest Numpy 1.1 (rc1 is available) or, as a > temporary measure, use the installer: > > > http://www.ar.media.kyoto-u.ac.jp/members/david/archives/numpy-superpack-python2.5.exe > > > That uses numpy version 1.0.5.dev5008 which should solve you problem. > > Regards > Bruce > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
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