[Numpy-discussion] SVN Build, optimized libraries, site.cfg, windows
Satrajit Ghosh
satra at speech.mit.edu
Sun Feb 11 22:51:25 EST 2007
Hi,
I'm also not quite clear whether the optimized FFTW and UMFPACK libraries
are being used or required in numpy at all as show_config() doesn't report
it.
I see that fftw and umfpack are being used for scipy.
I have attached my site.cfg. Any help would be much appreciated.
Cheers,
Satra
---- snip site.cfg ----
[atlas]
libraries = f77blas, cblas, atlas
library_dirs = C:\MinGW\lib;C:\DOWNLOADS\BUILDS\lib
include_dirs = C:\DOWNLOADS\BUILDS\include\ATLAS
[lapack]
libraries = flapack, f77blas, cblas, atlas library_dirs =
C:\MinGW\lib;C:\DOWNLOADS\BUILDS\lib
# UMFPACK
# -------
# The UMFPACK library is used to factor large sparse matrices. It, in turn,
# depends on the AMD library for reordering the matrices for better
performance.
# Note that the AMD library has nothing to do with AMD (Advanced Micro
Devices), # the CPU company.
#
# http://www.cise.ufl.edu/research/sparse/umfpack/
# http://www.cise.ufl.edu/research/sparse/amd/
#
[amd]
library_dirs = C:\MinGW\lib;C:\DOWNLOADS\BUILDS\lib
include_dirs = C:\DOWNLOADS\BUILDS\include amd_libs = amd
[umfpack]
library_dirs = C:\MinGW\lib;C:\DOWNLOADS\BUILDS\lib
include_dirs = C:\DOWNLOADS\BUILDS\include\UMFPACK
umfpack_libs = umfpack
# FFT libraries
# -------------
# There are two FFT libraries that we can configure here: FFTW (2 and 3) and
djbfft.
#
# http://fftw.org/
# http://cr.yp.to/djbfft.html
#
# Given only this section, numpy.distutils will try to figure out which
version # of FFTW you are using.
[fftw]
library_dirs = C:\MinGW\lib;C:\DOWNLOADS\BUILDS\lib
include_dirs = C:\DOWNLOADS\BUILDS\include libraries = fftw3
---- end snip
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