[SciPy-Dev] Scipy linked to openblas

[Ralf Gommers]

On Thu, Aug 4, 2016 at 6:42 PM, Victor Rodriguez <vm.rod25 at gmail.com> wrote:

> Hi
>
> I am part of the Clear Linux (clearlinux.org) OS project .  I wonder
> how to link scipy to openblas. I have read in some parts that if numpy
> is linked to openblas by default scipy gets linked. However I wonder
> if there is any specific way to tell scipy to be linked agains
> openblas library.
>

Rename site.cfg.example to site.cfg and uncomment and edit the OpenBLAS
section to point to the right paths. Here:
https://github.com/scipy/scipy/blob/master/site.cfg.example#L103

Ralf


>
>
> This is our config log
>
> gcc -pthread /tmp/tmp2f_4k1/tmp/tmp2f_4k1/source.o -L/usr/lib64
> -lopenblas -o /tmp/tmp2f_4k1/a.out
>   libraries openblas not found in ['', '']
> Runtime library openblas was not found. Ignoring
>   FOUND:
>     libraries = ['openblas', 'openblas']
>     library_dirs = ['/usr/lib64']
>     language = c
>     define_macros = [('HAVE_CBLAS', None)]
>   FOUND:
>     libraries = ['openblas', 'openblas']
>     library_dirs = ['/usr/lib64']
>     language = c
>     define_macros = [('HAVE_CBLAS', None)]
> Running from scipy source directory.
> Splitting linalg.interpolative Fortran source files
> blas_opt_info:
> blas_mkl_info:
>   libraries mkl,vml,guide not found in ['/usr/lib64', '/usr/lib',
> '/usr/lib/']
>   NOT AVAILABLE
> openblas_info:
>   libraries openblas not found in ['', '']
> Runtime library openblas was not found. Ignoring
>   libraries gfortran not found in ['', '']
> Runtime library gfortran was not found. Ignoring
>   FOUND:
>     libraries = ['openblas', 'gfortran', 'openblas', 'gfortran']
>     library_dirs = ['/usr/lib64']
>     language = c
>     define_macros = [('HAVE_CBLAS', None)]
>   FOUND:
>     libraries = ['openblas', 'gfortran', 'openblas', 'gfortran']
>     library_dirs = ['/usr/lib64']
>     language = c
>     define_macros = [('HAVE_CBLAS', None)]
>
>
> This is due to the fact that our openblas is linked to avx technology
> and it boost the performance of math funtions form numpy and R:
>
> https://01.org/blogs/2016/improving-python-performance-
> scientific-tools-and-libraries
>
> Thanks for the help
>
> Victor Rodriguez
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>
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