[Numpy-discussion] ld.so.1 linker errors building numpy
david at ar.media.kyoto-u.ac.jp
Thu Jul 19 01:44:53 EDT 2007
Park Hays wrote:
> I have been fighting for a couple weeks to get numpy installed, on the
> way to a full scipy+matplotlib system.
I tried installing numpy on a solaris machine on SPARC too, with the
added difficulty to have only a local account on the machine (without a
compiler: had to build my own :) )...
> At this point, the transcript looks something like:
> > python
> Python 2.5 (r25:51908, Sep 20 2006, 06:18:53)
> [GCC 3.4.6] on sunos5
> >> from numpy import *
> -- stack trace, cut out except for last portion --
> File "[snip]/linalg.py", line 25, in <module>
> from numpy.linalg import lapack_lite
> Import Error: ld.so.1: python: fatal: relocation error: file
> [snip]/numpy/linalg/lapack_lite.so: symbol s_wsfe: referenced symbol
> not found.
I would recommend to do it step by step:
- first, do not compile any blas/lapack. They are difficult to build
correctly because of various issues I won't go into now; ATLAS only
makes the matter worse :)
- once you succeed building numpy without any blas/lapack, you can
build your own blas/lapack. To build correctly with LAPACK 3.1.1, you
only need to add -fPIC to OPT and NOOPT in the make.inc. For previous
versions of LAPACK, this does NOT work, and the BLAS is broken in
previous versions (you have to build BLAS separately). You can use the
static archives (.a), but they HAVE to be built using -fPIC. I would
recomment against using .so at first, as it adds a level of complexity.
- once the above works, you can try ATLAS. I strongly recommend
using the dev version of ATLAS (3.7.34 as today) because its
configuration is able to handle shared library building. To build ATLAS
usable by numpy/scipy, you should use the following:
./configure --with-netlib-lapack=LAPACKPATH -Fa alg -fPIC
where LAPACKPATH is the full path of your static lapack library built
before; you should also use the same compilers than everywhere else
(this is not a must I guess, but less risk to avoid subtle issues when
using different compilers).
If you are willing to follow the above steps, it will be easier to debug
things one after the other, I think.
More information about the NumPy-Discussion