Hi, I am trying to install numpy with the MKL libraries available on my cluster. Most of the libraries are available in one directory, but the iomp5 library is in another.
/opt/intel/Compiler/11.1/072/mkl/lib/em64t ---> mkl_intel_lp64, mkl_intel_thread, mkl_core, mkl_def, mkl_mc /opt/intel/Compiler/11.1/072/lib/intel64 ---> iomp5 Using an older MKL library that was available, I found that when all libraries are in one directory, the install went through fine. But in this case it says the libraries cannot be found, even if I list both under the library_dirs in site.cfg [mkl] library_dirs = /opt/intel/Compiler/11.1/072/mkl/lib/em64t:/opt/intel/Compiler/11.1/072/lib/intel64 include_dirs = /opt/intel/Compiler/11.1/072/mkl/include lapack_libs = mkl_lapack mkl_libs = mkl_intel_lp64, mkl_intel_thread, mkl_core, mkl_def, mkl_mc, iomp5 If I try to install without iomp5, then when I import numpy I get the following error /opt/intel/Compiler/11.1/072/mkl/lib/em64t/libmkl_intel_thread.so: undefined symbol: omp_in_parallel Any ideas? I tried to put symbolic links to both library directories in one place, but that didn't work either. I'm trying to avoid creating a directory of symbolic links to every necessary library. Jonathan Tu _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
