On Tue, Sep 3, 2013 at 6:31 PM, Olivier Grisel <olivier.gri...@ensta.org> wrote:
> 2013/9/3 Gael Varoquaux <gael.varoqu...@normalesup.org>:
>> On Tue, Sep 03, 2013 at 02:39:04PM -0400, Skipper Seabold wrote:
>>> from numpy.distutils.system_info import get_info
>>> blas_info = get_info('blas_opt', 0)
>>> blas_info.get('define_macros')
>>
>> I don't know.
>>
>>> My numpy is linked against openblas, and I don't have a
>>> 'define_macros' key, so I don't know.
>>
>> Currently, scikit-learn doesn't build with openblas.
>
> Well it works well if you get numpy to build correctly against
> openblas by using this patch:
>
> https://github.com/akesandgren/numpy/commit/363339dd3a9826f3e3e7dc4248c258d3c4dfcd7c
>
> More details in the discussion on this issue:
>
> https://github.com/scikit-learn/scikit-learn/pull/2388

I'm using the patch. 'define_macros' is still empty.

https://github.com/numpy/numpy/pull/3642

>
>> However, it is
>> important to keep in mind that openblas has some quirks (like the fact
>> that can cannot use it after forking).
>
> Which is also sometimes the case on the system blas under OSX BTW.
>
>>> Is it always the case then that scikit-learn links against the
>>> included reference BLAS if the above fails. Is there some other way to
>>> specify the source of local optimized BLAS headers and libraries?
>>
>> I believe that editing the standard site.cfg file, as in the scipy build
>> system should do it.

Thanks, I never noticed the scikit-learn site.cfg. Is it documented anywhere?

>
> AFAIK this is in the site.cfg of numpy but without the.

?

>
> Also under OSX the system blas takes precedence unless the ATLAS env
> variable is defined and points to the openblas lib (the .so or .a
> file), which is probably another bug in the numpy distutils stuff. I
> did not have time to have a deeper look though.

I think this will be fixed as part of the above PR. Commenting there
would be the right place to make sure it gets done at least.

Skipper

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