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| author | chaoyu3 <chao.yu@intel.com> | 2017-11-22 10:59:25 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2017-11-22 10:59:25 +0800 |
| commit | 6d169a07db6dc31f700ca755560b499f98a0bd1d (patch) | |
| tree | 723aad5ec4ba9e0ade949b2e06d0354f75d7f685 /site.cfg.example | |
| parent | 14f8e56f48689a9f5b5e7736c25ccbc970363ad4 (diff) | |
| download | python-numpy-6d169a07db6dc31f700ca755560b499f98a0bd1d.tar.gz python-numpy-6d169a07db6dc31f700ca755560b499f98a0bd1d.tar.bz2 python-numpy-6d169a07db6dc31f700ca755560b499f98a0bd1d.zip | |
Update site.cfg.example on the MKL part.
The MKL usage part is out-of-date for the recent releases of MKL. The old content does not work any work. This is an update on the MKL usage part. Some detail is reported here:
https://github.com/numpy/numpy/issues/10061
Diffstat (limited to 'site.cfg.example')
| -rw-r--r-- | site.cfg.example | 47 |
1 files changed, 25 insertions, 22 deletions
diff --git a/site.cfg.example b/site.cfg.example index 8e043cfb3..645b48543 100644 --- a/site.cfg.example +++ b/site.cfg.example @@ -153,29 +153,32 @@ # runtime_library_dirs = /home/username/blis/lib # MKL -#---- -# MKL is Intel's very optimized yet proprietary implementation of BLAS and -# Lapack. -# For recent (9.0.21, for example) mkl, you need to change the names of the -# lapack library. Assuming you installed the mkl in /opt, for a 32 bits cpu: +#---- +# Intel MKL is Intel's very optimized yet proprietary implementation of BLAS and +# Lapack. Find the latest info on building numpy with Intel MKL in this article: +# https://software.intel.com/en-us/articles/numpyscipy-with-intel-mkl +# Assuming you installed the mkl in /opt/intel/compilers_and_libraries_2018/linux/mkl, +# for 64 bits code at Linux: +# [mkl] +# library_dirs = /opt/intel/compilers_and_libraries_2018/linux/mkl/lib/intel64 +# include_dirs = /opt/intel/compilers_and_libraries_2018/linux/mkl/include +# mkl_libs = mkl_rt +# lapack_libs = +# +# For 32 bit code at Linux: # [mkl] -# library_dirs = /opt/intel/mkl/9.1.023/lib/32/ -# lapack_libs = mkl_lapack -# -# For 10.*, on 32 bits machines: -# [mkl] -# library_dirs = /opt/intel/mkl/10.0.1.014/lib/32/ -# lapack_libs = mkl_lapack -# mkl_libs = mkl, guide -# -# On win-64, the following options compiles numpy with the MKL library -# dynamically linked. -# [mkl] -# include_dirs = C:\Program Files (x86)\Intel\Composer XE 2015\mkl\include -# library_dirs = C:\Program Files (x86)\Intel\Composer XE 2015\mkl\lib\intel64 -# mkl_libs = mkl_core_dll, mkl_intel_lp64_dll, mkl_intel_thread_dll -# lapack_libs = mkl_lapack95_lp64 - +# library_dirs = /opt/intel/compilers_and_libraries_2018/linux/mkl/lib/ia32 +# include_dirs = /opt/intel/compilers_and_libraries_2018/linux/mkl/include +# mkl_libs = mkl_rt +# lapack_libs = +# +# On win-64, the following options compiles numpy with the MKL library +# dynamically linked. +# [mkl] +# include_dirs = C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2018\windows\mkl\include +# library_dirs = C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2018\windows\mkl\lib\intel64 +# mkl_libs = mkl_rt +# lapack_libs = # UMFPACK # ------- |