On Mon, May 6, 2013 at 10:32 AM, Yaroslav Halchenko <li...@onerussian.com> wrote: > > On Wed, 01 May 2013, Sebastian Berg wrote: >> > btw -- is there something like panda's vbench for numpy? i.e. where >> > it would be possible to track/visualize such performance >> > improvements/hits? > > >> Sorry if it seemed harsh, but only skimmed mails and it seemed a bit >> like the an obvious piece was missing... There are no benchmark tests I >> am aware of. You can try: > >> a = np.random.random((1000, 1000)) > >> and then time a.sum(1) and a.sum(0), on 1.7. the fast axis (1), is only >> slightly faster then the sum over the slow axis. On earlier numpy >> versions you will probably see something like half the speed for the >> slow axis (only got ancient or 1.7 numpy right now, so reluctant to give >> exact timings). > > FWIW -- just as a cruel first attempt look at > > http://www.onerussian.com/tmp/numpy-vbench-20130506/vb_vb_reduce.html > > why float16 case is so special? > > I have pushed this really coarse setup (based on some elderly copy of > pandas' vbench) to > https://github.com/yarikoptic/numpy-vbench > > if you care to tune it up/extend and then I could fire it up again on > that box (which doesn't do anything else ATM AFAIK). Since majority of > time is spent actually building it (did it with ccache though) it would > be neat if you come up with more of benchmarks to run which you might > think could be interesting/important.
nice results Thanks Yaroslav, Josef my default: axis=0 > > -- > 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 _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
