[SciPy-User] Cannot find BLAS on a machine with MKL when installing scipy

[ZiYuan]

Dear all,

I installed Intel MKL and other libraries for a customized numpy. Here is
my ~/.numpy-site.cfg:

    [DEFAULT]
    library_dirs = /usr/lib:/usr/local/lib
    include_dirs = /usr/include:/usr/local/include

    [mkl]
    library_dirs = /opt/intel/mkl/lib/intel64/
    include_dirs = /opt/intel/mkl/include/
    mkl_libs = mkl_rt
    lapack_libs =

    [amd]
    amd_libs = amd

    [umfpack]
    umfpack_libs = umfpack

    [djbfft]
    include_dirs = /usr/local/djbfft/include
    library_dirs = /usr/local/djbfft/lib

This configuration file seems OK during the installation of numpy. But when
I was installing scipy via pip3 install scipy, it reported that

    numpy.distutils.system_info.BlasNotFoundError:

        Blas (http://www.netlib.org/blas/) libraries not found.

        Directories to search for the libraries can be specified in the

        numpy/distutils/site.cfg file (section [blas]) or by setting

        the BLAS environment variable.


In my mind MKL is an implementation of Blas so just mentioning MKL should
be fine. I've tried

 1. export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:$LD_LIBRARY_PATH‌​
 2. export BLAS=/opt/intel/mkl/lib/intel64
 3. Copy the content in the [mkl] section and paste into the [blas] section
in the file ~/.numpy-site.cfg

But none of these works. So what is going wrong? Does scipy respect
~/.numpy-site.cfg? Thank you.

Best,
Ziyuan
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