On Jul 24, 2010, at 3:08 PM, Benjamin Root wrote:

On Fri, Jul 23, 2010 at 10:10 AM, Jonathan Tu <jhtu@princeton.edu> wrote: Hi,

I am trying to install Numpy on a Linux cluster running RHEL4. I installed a local copy of Python 2.7 because RHEL4 uses Python 2.3.4 for various internal functionalities. I downloaded the Numpy source code using

svn co http://svn.scipy.org/svn/numpy/trunk numpy

and then I tried to build using

python setup.py build

This resulted in the following error:

gcc: numpy/linalg/lapack_litemodule.c gcc: numpy/linalg/python_xerbla.c /usr/bin/g77 -g -Wall -g -Wall -shared build/temp.linux-x86_64-2.7/numpy/linalg/lapack_litemodule.o build/temp.linux-x86_64-2.7/numpy/linalg/python_xerbla.o -L/usr/lib64/ATLAS -Lbuild/temp.linux-x86_64-2.7 -llapack -lptf77blas -lptcblas -latlas -lg2c -o build/lib.linux-x86_64-2.7/numpy/linalg/lapack_lite.so /usr/bin/ld: /usr/lib64/ATLAS/liblapack.a(dgeev.o): relocation R_X86_64_32 against `a local symbol' can not be used when making a shared object; recompile with -fPIC /usr/lib64/ATLAS/liblapack.a: could not read symbols: Bad value collect2: ld returned 1 exit status /usr/bin/ld: /usr/lib64/ATLAS/liblapack.a(dgeev.o): relocation R_X86_64_32 against `a local symbol' can not be used when making a shared object; recompile with -fPIC /usr/lib64/ATLAS/liblapack.a: could not read symbols: Bad value collect2: ld returned 1 exit status error: Command "/usr/bin/g77 -g -Wall -g -Wall -shared build/temp.linux-x86_64-2.7/numpy/linalg/lapack_litemodule.o build/temp.linux-x86_64-2.7/numpy/linalg/python_xerbla.o -L/usr/lib64/ATLAS -Lbuild/temp.linux-x86_64-2.7 -llapack -lptf77blas -lptcblas -latlas -lg2c -o build/lib.linux-x86_64-2.7/numpy/linalg/lapack_lite.so" failed with exit status 1

Full details of the output are attached in stdout.txt and stderr.txt. I thought maybe it was a compiler error so I tried

python setup.py build -fcompiler=gnu

but this also resulted in errors as well (stdout_2.txt, stderr_2.txt).

I just noticed that on both attempts, it is complaining that it can't find a Fortran 90 compiler. I'm not sure if I have the right compiler available. On this cluster I have the following modules:

------------ /usr/share/Modules/modulefiles ------------

dot module-cvs module-info modules null use.own ------------ /usr/local/share/Modules/modulefiles ------------ mpich/gcc/1.2.7p1/64 openmpi/gcc-ib/1.2.3/64

mpich/intel/1.2.7dmcrp1/64 openmpi/gcc-ib/1.2.5/64 mpich/intel/1.2.7p1/64 openmpi/intel/1.2.3/64 mpich/pgi-7.1/1.2.7p1/64 openmpi/intel-11.0/1.2.8/64

mpich-debug/gcc/1.2.7p1/64 openmpi/intel-9.1/1.2.8/64 mpich-debug/intel/1.2.7p1/64 openmpi/intel-ib/1.1.5/64 mpich-debug/pgi-7.1/1.2.7p1/64 openmpi/intel-ib/1.2.3/64 mvapich/gcc/0.9.9/64 openmpi/intel-ib/1.2.5/64

mvapich/pgi-7.1/0.9.9/64 openmpi/pgi-7.0/1.2.3/64 openmpi/gcc/1.2.8/64 openmpi/pgi-7.1/1.2.5/64 openmpi/gcc/1.3.0/64 openmpi/pgi-7.1/1.2.8/64

openmpi/gcc-ib/1.1.5/64 openmpi/pgi-8.0/1.2.8/64 ------------ /opt/share/Modules/modulefiles ------------ intel/10.0/64/C/10.0.026 intel/9.1/64/default intel/10.0/64/Fortran/10.0.026 intel-mkl/10/64

intel/10.0/64/Iidb/10.0.026 intel-mkl/10.1/64 intel/10.0/64/default intel-mkl/9/32 intel/11.1/64/11.1.038 intel-mkl/9/64

intel/11.1/64/11.1.072 pgi/7.0/64 intel/9.1/64/C/9.1.045 pgi/7.1/64 intel/9.1/64/Fortran/9.1.040 pgi/8.0/64 intel/9.1/64/Iidb/9.1.045

If anyone has any ideas, they would be greatly appreciated! I am new to Linux and am unsure how to fix this problem.

Jonathan Tu

Jonathan,

Looking at your error logs, I suspect that the issue is that the ATLAS libraries that were installed on your system were probably built using f90, and then your f77-built objects can't link against ATLAS. Do you have admin access to this machine? If possible, try using the yum package manager to install f90 (its availability depends on whatever RHEL license you have, though...).

If you can install f90, I would then remove the numpy build directory and try building it again.

I hope this helps, Ben Root _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion

Hi Ben, I managed to complete my installation. It required setting up the configure file to reference my local installation of Python, rather than the default /usr/bin/Python. However, I would like to see whether or not I am using the optimized ATLAS/LAPACK libraries for my matrix computations. I couldn't figure out how to do this by just Googling. Does anyone know how to check? I'm interested in the performance of my algorithms and this could be one of the bottlenecks. Jonathan Tu