Hi Matthew, I can make it in the late evening (MEZ timezone), so you have to wait a bit ... I also will try to create new numpy/scipy wheels. I now have the latest OpenBLAS version ready. Olivier gaves me access to rackspace. I wil try it out on the weekend. Regards Carl 2014-07-03 12:46 GMT+02:00 Matthew Brett <matthew.brett@gmail.com>:
I guess this one's mainly for Carl:
On Thu, Jul 3, 2014 at 11:06 AM, Matthew Brett <matthew.brett@gmail.com> wrote:
Hi,
On Thu, Jul 3, 2014 at 4:56 AM, Sturla Molden <sturla.molden@gmail.com> wrote:
On 02/07/14 19:55, Chris Barker wrote:
Indeed -- the default (i.e what you get with pip install numpy) should be SSE2 -- I":d much rather have a few folks with old hardware have to go through some hoops that n have most people get something that is "much slower than MATLAB".
I think we should use SSE3 as default. It is already ten years old. Most users (99.999 %) who want binary wheels have an SSE3 capable CPU.
The 99% for SSE2 comes from the Firefox crash reports, where the large majority are for very recent Firefox downloads.
If you can identify SSE3 machines from the reported CPU string (as the Firefox people did for SSE2), please do have a look a see if you can get a count for SSE3 in the Firefox crash reports; if it's close to 99% that would make a strong argument:
https://github.com/numpy/numpy/wiki/Windows-versions#sse--sse2 https://gist.github.com/matthew-brett/9cb5274f7451a3eb8fc0
Jonathan Helmus recently pointed out https://ci.appveyor.com in a discussion on the scikit-image mailing list. The scikit-image team are trying to get builds and tests working there. The configuration file allows arbitrary cmd and powershell commands executed in a clean Windows virtual machine. Do you think it would be possible to get the wheel builds working on something like that? That would be a big step forward, just because the current procedure is rather fiddly, even if not very difficult.
Any news on the pull request to numpy? Waiting eagerly :)
Cheers,
Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion