[SciPy-User] Install Scipy with Anaconda's MKL libraries

[David Hagen]

Is there a recipe for this combination? I installed MKL from that link and
the latest Visual Studio. Scipy did not find MKL on its own. I'm sure
there's some environment variables that need to be set, but I don't know
what they are.

On Tue, May 2, 2017 at 4:00 AM, William Heymann <immudzen at gmail.com> wrote:

> Intel has made MKL, TBB, and a few other things completely free to use,
> even in a commercial project. Visual Studio is also free unless you are a
> very large company.
>
> https://software.intel.com/en-us/articles/free-mkl
>
> I have been using that for other projects without any problems and
> compiling with Visual Studio has been very easy.
>
> On Tue, May 2, 2017 at 1:40 AM, David Hagen <david at drhagen.com> wrote:
>
>> I'll try to stick with MinGW-w64 for now, but I don't even get to the
>> compilation phase. If I install lapack and blas from conda-forge, it still
>> says that lapack/blas are not found, but you indicated that I need to set
>> some paths. Are there instructions for this? I have no idea what
>> environment variables to set in order to tell Scipy to use these packages.
>>
>> On Mon, May 1, 2017 at 3:44 AM, Denis Akhiyarov <
>> denis.akhiyarov at gmail.com> wrote:
>>
>>> I still suggest Intel+MSVC compilers, since you can use trial version or
>>> request license for open-source projects from Intel. This is what Anaconda
>>> team is using. Also this is what Christoph Gohlke wheels are based on:
>>>
>>> http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy
>>>
>>> If you end up with m2w64, here is lapack for conda, you may still have
>>> to modify paths:
>>>
>>> https://anaconda.org/conda-forge/lapack
>>>
>>> And blas:
>>>
>>> https://anaconda.org/search?q=Blas
>>>
>>> On Sun, Apr 30, 2017, 5:22 PM Matthieu Brucher <
>>> matthieu.brucher at gmail.com> wrote:
>>>
>>>> Why do you want to pay Intel? You can install the MKL and develop with
>>>> it, no sweat.
>>>>
>>>> 2017-04-30 22:41 GMT+01:00 David Hagen <david at drhagen.com>:
>>>>
>>>>> > Welcome to the world of pain with building scientific packages from
>>>>> source on Windows!
>>>>>
>>>>> I am beginning to feel it.
>>>>>
>>>>> > You need Fortran and C/C++ compilers on Windows to build scipy from
>>>>> source
>>>>>
>>>>> I have MinGW-w64 installed, which seems to be the recommended method.
>>>>>
>>>>> > I’m pretty sure that anaconda does not come with the development
>>>>> files for MKL, only the runtime files.
>>>>>
>>>>> I understand now. It looks like MKL is not the way to go unless I want
>>>>> to pay Intel.
>>>>>
>>>>> > If you don't need mkl and lapack/blas is good enough, then
>>>>> m2w64-toolchain from conda should have all necessary dependencies for
>>>>> building scipy.
>>>>>
>>>>> My only goal is to install and use Scipy master somewhere where it
>>>>> won't break my stable installation. I thought Anaconda would be a good
>>>>> place to start because once I activate an Anaconda environment, I should be
>>>>> able to treat like a normal Python installation and follow the normal
>>>>> install-from-source instructions. I went ahead and installed that
>>>>> m2w64-toolchain package, but it still doesn't find any BLAS/LAPACK. Maybe I
>>>>> should change my question to: how do I install Scipy on Windows from
>>>>> source? Though when I search for this specifically on the web, the answer
>>>>> seems to be "Don't.". It seems that MinGW-w64 and ATLAS are recommended by
>>>>> Scipy. Do you know of a conda/pip package that provides ATLAS for building
>>>>> Scipy or another more suitable BLAS/LAPACK?
>>>>>
>>>>> _______________________________________________
>>>>> SciPy-User mailing list
>>>>> SciPy-User at python.org
>>>>> https://mail.python.org/mailman/listinfo/scipy-user
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> Information System Engineer, Ph.D.
>>>> Blog: http://blog.audio-tk.com/
>>>> LinkedIn: http://www.linkedin.com/in/matthieubrucher
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>>
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