On a P4 machine my site.cfg is: [DEFAULT] library_dirs = /usr/lib:/usr/local/lib include_dirs = /usr/include:/usr/local/include src_dirs = /usr/local/src:/opt/src # search static libraries (.a) in preference to shared ones (.so) search_static_first = 0 [fftw] fftw_libs = fftw3, fftw3f fftw_opt_libs = fftw3_threaded, fftw3f_threaded # if the above aren't found, look for {s,d}fftw_libs and {s,d}fftw_opt_libs [atlas] library_dirs = /usr/lib:/usr/lib/blas/atlas # for overriding the names of the atlas libraries atlas_libs = lapack, f77blas, cblas, atlas [x11] library_dirs = /usr/X11R6/lib include_dirs = /usr/X11R6/include On a amd64 I prefer to use the acml library, which preformance is about the same as ATLAS, but contains full blas/lapack compability. Nadav. -----Original Message----- From: numpy-discussion-admin@lists.sourceforge.net on behalf of Zdenek Hurák Sent: Thu 16-Mar-06 09:44 To: numpy-discussion@lists.sourceforge.net Cc: Subject: [Numpy-discussion] How compile Numpy on Gentoo system (finding atlas-blas and atlas-lapack) Hello, is anybody here working with Numpy on Gentoo Linux system? I have troubles with compiling it with ATLAS-BLAS and ATLAS-LAPACK. The trouble is perhaps that Gentoo has a little bit different approach to storing optimized BLAS and LAPACK on the system then other Linux distros. And apparently Numpy cannot find it. Numpy documentation says that I should specify the path to ATLAS in site.cfg in numpy/distutils, but I cannot find one. Thanks for your help, Zdenek Hurak ------------------------------------------------------------------ hurak@note-zhurak ~ $ ls -l /usr/lib | grep atlas -rw-r--r-- 1 root root 5293184 led 27 15:57 libatlas.a -rwxr-xr-x 1 root root 793 led 27 15:57 libatlas.la lrwxrwxrwx 1 root root 17 led 27 15:57 libatlas.so -> libatlas.so.0.0.0 lrwxrwxrwx 1 root root 17 led 27 15:57 libatlas.so.0 -> libatlas.so.0.0.0 -rwxr-xr-x 1 root root 2883644 led 27 15:57 libatlas.so.0.0.0 lrwxrwxrwx 1 root root 21 led 27 15:57 libblas.so -> blas/atlas/libblas.so lrwxrwxrwx 1 root root 23 led 27 15:57 libblas.so.0 -> blas/atlas/libblas.so.0 lrwxrwxrwx 1 root root 21 led 27 15:57 libcblas.a -> blas/atlas/libcblas.a lrwxrwxrwx 1 root root 22 led 27 15:57 libcblas.so -> blas/atlas/libcblas.so lrwxrwxrwx 1 root root 24 led 27 15:57 libcblas.so.0 -> blas/atlas/libcblas.so.0 lrwxrwxrwx 1 root root 25 led 27 21:37 liblapack.so -> lapack/atlas/liblapack.so lrwxrwxrwx 1 root root 27 led 27 21:37 liblapack.so.0 -> lapack/atlas/liblapack.so.0 ------------------------------------------------------------------ hurak@note-zhurak ~/tmp/install/numpy-0.9.6/numpy/distutils $ cat ../../build/lib.linux-i686-2.4/numpy/__config__.py # This file is generated by /home/hurak/tmp/install/numpy-0.9.6/setup.py # It contains system_info results at the time of building this package. __all__ = ["get_info","show"] blas_info={'libraries': ['blas'], 'library_dirs': ['/usr/lib'], 'language': 'f77'} lapack_info={'libraries': ['lapack', 'blas'], 'library_dirs': ['/usr/lib'], 'language': 'f77'} atlas_threads_info={} blas_opt_info={'libraries': ['blas'], 'library_dirs': ['/usr/lib'], 'define_macros': [('NO_ATLAS_INFO', 1)], 'language': 'f77'} atlas_blas_threads_info={} lapack_opt_info={'libraries': ['lapack', 'blas'], 'library_dirs': ['/usr/lib'], 'define_macros': [('NO_ATLAS_INFO', 1)], 'language': 'f77'} atlas_info={} lapack_mkl_info={} blas_mkl_info={} atlas_blas_info={} mkl_info={} [...] ------------------------------------------------------------------ hurak@note-zhurak ~/tmp/install/numpy-0.9.6 $ ls numpy/distutils/ ccompiler.py exec_command.pyc intelccompiler.py system_info.py ccompiler.pyc extension.py lib2def.py system_info.pyc command extension.pyc line_endings.py tests conv_template.py fcompiler log.py unixccompiler.py conv_template.pyc from_template.py log.pyc unixccompiler.pyc core.py from_template.pyc mingw32ccompiler.py __version__.py core.pyc info.py misc_util.py __version__.pyc cpuinfo.py info.pyc misc_util.pyc cpuinfo.pyc __init__.py setup.py exec_command.py __init__.pyc setup.pyc ------------------------------------------------------------------ ------------------------------------------------------- This SF.Net email is sponsored by xPML, a groundbreaking scripting language that extends applications into web and mobile media. Attend the live webcast and join the prime developer group breaking into this new coding territory! http://sel.as-us.falkag.net/sel?cmd=lnk&kid=110944&bid=241720&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion