On Sat, Jan 31, 2009 at 5:30 AM, Francesc Alted <[email protected]> wrote: > Hi, > > Gregor and I are trying to give support for Intel's VML (Vector > Mathematical Library) in numexpr. For this, we are trying to make use > of the weaponery in NumPy's distutils so as to be able to discover > where the MKL (the package that contains VML) is located. The > libraries that we need to link with are: mkl_gf_lp64, mkl_gnu_thread, > mkl_core *and* iomp5 (Intel's OpenMP library). > > The problem is that I have installed MKL as part as the Intel compiler > for Unix. In this setup, most of the libraries are in one place, > namely: > > /opt/intel/Compiler/11.0/074/mkl/lib/em64t/ > > However, the OpenMP library is in another directory: > > /opt/intel/Compiler/11.0/074/lib/intel64 > > So, I need to specify *two* directories to get the complete set of > libraries. My first attempt was setting a site.cfg like: > > [DEFAULT] > #libraries = gfortran > > [mkl] > library_dirs= > /opt/intel/Compiler/11.0/074/mkl/lib/em64t/:/opt/intel/Compiler/11.0/074/lib/intel64 > include_dirs = /opt/intel/Compiler/11.0/074/mkl/include/ > mkl_libs = mkl_gf_lp64, mkl_gnu_thread, mkl_core, iomp5 > > > Unfortunately, distutils complains and says that it cannot find the > complete set of libraries: > > mkl_info: > libraries mkl_gf_lp64,mkl_gnu_thread,mkl_core,iomp5 not found > in /opt/intel/Compiler/11.0/074/mkl/lib/em64t/ > libraries mkl_gf_lp64,mkl_gnu_thread,mkl_core,iomp5 not found > in /opt/intel/Compiler/11.0/074/lib/intel64 > NOT AVAILABLE > > After some debugging of the problem, it seems that distutils needs to > find *all* the required libraries in *one* single directory.
Yes > > My question is, is there an elegant way to handle this problem, or it > is a limitation of the current distutils? The "elegant" solution is to make softlink on unix. > If the later, it would be > nice it that could be solved in a future version, and several libraries > can be found in *several* directories. Unfortunately, this would mean rewriting system_info, because this assumption is deeply ingrained in the whole design. Personally, I think the really idea of looking for files for libraries is not the right one - all other tools I know (autoconf, scons, jam, cmake) link code snippet instead. But doing it in distutils won't be fun. David _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
