2014-05-12 19:25 GMT+02:00 Matthew Brett :
> Hi,
>
> On Mon, May 12, 2014 at 6:01 AM, Matthieu Brucher
> wrote:
> > There is the issue of installing the shared library at the proper
> > location as well IIRC?
>
> As Carl implies, the standard numpy installers do static linking to
> the BLAS lib,
In a couple of my projects, we check for flags by compiling little test
files -- autotools style -- to check for SSE, OpenMP, etc. See e.g.
https://github.com/rmcgibbo/mdtraj/blob/master/setup.py#L215
If anyone has a better solution, I'm all ears.
-Robert
On Mon, May 12, 2014 at 12:24 PM, Matth
Hi,
I'm sorry to ask this, I guess I should know - but is there any way in
disutils or numpy distutils to check whether a compiler flag is valid
before doing extension building?
I'm thinking of something like this, to check whether the compiler can
handle '-fopenmp':
have_openmp = check_compiler
Hi,
On Mon, May 12, 2014 at 6:01 AM, Matthieu Brucher
wrote:
> There is the issue of installing the shared library at the proper
> location as well IIRC?
As Carl implies, the standard numpy installers do static linking to
the BLAS lib, so we haven't (as far as I know) got a proper location
for t
There is the issue of installing the shared library at the proper
location as well IIRC?
2014-05-12 13:54 GMT+01:00 Carl Kleffner :
> Neither the numpy ATLAS build nor the MKL build on Windows makes use of
> shared libs. The latter due due licence restriction.
>
> Carl
>
>
> 2014-05-12 14:23 GMT+0
Neither the numpy ATLAS build nor the MKL build on Windows makes use of
shared libs. The latter due due licence restriction.
Carl
2014-05-12 14:23 GMT+02:00 Matthieu Brucher :
> Yes, they seem to be focused on HPC clusters with sometimes old rules
> (as no shared library).
> Also, they don't us
Yes, they seem to be focused on HPC clusters with sometimes old rules
(as no shared library).
Also, they don't use a potable Makefile generator, not even autoconf,
this may also play a role in Windows support.
2014-05-12 12:52 GMT+01:00 Olivier Grisel :
> BLIS looks interesting. Besides threading
BLIS looks interesting. Besides threading and runtime configuration,
adding support for building it as a shared library would also be
required to be usable by python packages that have several extension
modules that link against a BLAS implementation.
https://code.google.com/p/blis/wiki/FAQ#Can_I_
