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Update site.cfg.example on the MKL part.
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The MKL usage part is out-of-date for the recent releases of MKL.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: 
numpy#10061
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chaoyu3 authored Nov 22, 2017
1 parent 14f8e56 commit 6d169a0
Showing 1 changed file with 25 additions and 22 deletions.
47 changes: 25 additions & 22 deletions site.cfg.example
Original file line number Diff line number Diff line change
Expand Up @@ -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
# -------
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