Just as a confirmation, I'm back at the office (after a month away) and I've updated to: * latest pyCUDA (0.94.2) * NVIDIA Win XP 32bit driver 260.89 WHQL final release * CUDA 3.2RC 32 bit (september 2010) * on Win XP, 32 bit and I'm using a new EVGA GTX 480 (a replacement for my last unit which developed memory errors).
Installation/building worked first time, test_cumath, test_driver, test_gpuarray run with no errors. Cheers, Ian. On 16 October 2010 22:01, Andreas Kloeckner <li...@informa.tiker.net> wrote: > Hi Tomasz, all, > > On Fri, 15 Oct 2010 19:27:36 +0200, Tomasz Rybak <bogom...@post.pl> wrote: >> Can anyone with Fermi (GTX 460, 470, 480 - are there other Fermi cards?) >> tell whether attached patch solves problems with GPUArray on Fermi? >> There has been discussion here on this list (started on 2010-09-27 >> by jmcarval) about problems with GPUArray. In summary, >> test/test_gpuarray.py failed four times on Fermi. >> >> I have send this patch to mailing list on 2010-10-01, but got no >> reply whether it works or not. > > Sorry for taking a while to reply to stuff recently. I am in the process > of getting settled into a new job and every once in a while, work > (especially teaching) is a bit much at the moment. When that happens, I > disappear for a little while. This will likely also happen in the > future, but don't worry, I'm around, and once the workload drops a bit, > I come back. :) > > Next, thank you very much for the careful analysis you've done on this > bug. Especially given what I've said above, this was super-helpful and > much appreciated. > > Julien Cornebise had previously given me access to one machine where the > issue was reproducible (Thanks, Julien!), and just now I verified that > a) the problem was still present before I applied your patch and b) that > your patch seems to fix the issue. (Both Joao's simple example and the > test suite.) This leads me to believe that the Fermi reduction mystery > should be solved. Thanks very much for making this happen, Tomasz! > > The fix is already in git, and I've also released 0.94.2 to make sure > that as many people as possible get the fixed code. > >> I would like to know if it works to know how to proceed with >> PyCUDA packaging for Debian. CUDA toolkit is waiting to be >> included, and as soon as it is accepted into Debian I intend >> to ask for sponsorship for PyCUDA packages. >> I am not sure, however, if I should leave PyCUDA as is (and >> risk filling bugs by with Fermi GPUs) or to apply untested >> patch, and risk that it does not work fully/has some side effects. > > I hope the above solves your packaging dilemma, too. > > Andreas > > > _______________________________________________ > PyCUDA mailing list > PyCUDA@tiker.net > http://lists.tiker.net/listinfo/pycuda > > -- Ian Ozsvald (A.I. researcher, screencaster) i...@ianozsvald.com http://IanOzsvald.com http://MorConsulting.com/ http://blog.AICookbook.com/ http://TheScreencastingHandbook.com http://FivePoundApp.com/ http://twitter.com/IanOzsvald _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
