jb wrote: > I also tried removing the yum blas/lapack libs and installing atlas > via the instructions given on the scipy site for Ashigabou Repository. >
Did you install blas/lapack from ashigabou repository as well ? When I developed those packages, FC packages for blas/lapack were unusable. But maybe with recent versions it is ok. I don't have very much time to spend on this unfortunately (I called for people using fedora to take care of this and pushing it to official FC repositories as I am not using FC myself, but nothing happened). > Atlas built fine from source and after installing the new rpm there > were two files in the lib64/atlas/sse2 folder: libblas.so.3.0 and > liblapack.so.3.0. However, when I try to install numpy, it cannot > find any blas, lapack, or atlas, even though my site.cfg file has: > > [DEFAULT] > library_dirs = /usr/lib64:/usr/lib64/atlas/sse2 > > [blas_opt] > libraries = f77blas, cblas, atlas > > [lapack_opt] > libraries = lapack, f77blas, cblas, atlas > > [atlas] > library_dirs = /usr/lib64/atlas/sse2 > atlas_libs = lapack, blas > > Could you paste the configuration log (when it says whether it finds the packages or not). I believe that you put too much information, the following site.cfg should work: [DEFAULT] library_dirs = /usr/lib64/atlas/sse2 Should work, but I can't be sure without seeing the log (Installing in sse2 is strange BTW; a quadcore certainly means you have more than sse2. That's something else to fix). > Using LD_LIBRARY_PATH=/usr/lib64/atlas/sse2 before installing numpy > does not make a difference. > LD_LIBRARY_PATH does not change how numpy looks for libraries. It only changes how the OS looks for libraries when you launch programs, so this is expected. > My questions are, are the yum versions of lapack/blas just as good as > the one built from Ashigabou source, and if not, why would numpy not > be able to find the Ashigabou blas and lapack files (even though its > looking in the right directory)? > In the old times (FC 5), the yum ones did not work. If they do now, I would say just use them. ATLAS is faster than blas/lapack, but it is more work, and it is useful mainly for large problems anyway. cheers, David _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
