The biggest ~recent change in master's linalg was the switch to gufunc back ends - you might want to check for that event in your commit log. On 19 Jul 2013 23:08, "Yaroslav Halchenko" <li...@onerussian.com> wrote:
> I have just added a few more benchmarks, and here they come > > http://www.onerussian.com/tmp/numpy-vbench/vb_vb_linalg.html#numpy-linalg-pinv-a-float32 > it seems to be very recent so my only check based on 10 commits > didn't pick it up yet so they are not present in the summary table. > > could well be related to 80% faster det()? ;) > > norm was hit as well a bit earlier, might well be within these commits: > https://github.com/numpy/numpy/compare/24a0aa5...29dcc54 > I will rerun now benchmarking for the rest of commits (was running last > in the day iirc) > > Cheers, > > On Tue, 16 Jul 2013, Yaroslav Halchenko wrote: > > > and to put so far reported findings into some kind of automated form, > > please welcome > > > > http://www.onerussian.com/tmp/numpy-vbench/#benchmarks-performance-analysis > > > This is based on a simple 1-way anova of last 10 commits and some point > > in the past where 10 other commits had smallest timing and were > significantly > > different from the last 10 commits. > > > "Possible recent" is probably too noisy and not sure if useful -- it > should > > point to a closest in time (to the latest commits) diff where a > > significant excursion from current performance was detected. So per se > it has > > nothing to do with the initial detected performance hit, but in some > cases > > seems still to reasonably locate commits hitting on performance. > > > Enjoy, > -- > Yaroslav O. Halchenko, Ph.D. > http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org > Senior Research Associate, Psychological and Brain Sciences Dept. > Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 > Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 > WWW: http://www.linkedin.com/in/yarik > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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