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Dear Centos-docs team Can I get a permission to edit "https://wiki.centos.org/kr/Download" I can't modify link of release notes now. - zino 2016? 1? 1? (?) ?? 7:25, Alan Bartlett <ajb at elrepo.org>?? ??: > On 30 December 2015 at 07:39, jinho kong <gino7825 at gmail.com> wrote: > > My username is KongJinho > > > > > > I'd like to ask permission to edit CentOS wiki pages. > > > >...

...to be more flexible and hopefully easier to use. If you have an out-of-tree target that was overriding the TRI::ResolveRegAllocHint() or TRI::getRawAllocationOrder() functions, you should switch it to using the new TRI::getRegAllocationHints() function instead. See the ARM target for an example. Zino, I believe the new hints are powerful enough to improve ldm/stm formation on ARM. Were you interested in working on that? /jakob

My username is KongJinho I'd like to ask permission to edit CentOS wiki pages. I want to contribute to the wiki Korean translation. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.centos.org/pipermail/centos-docs/attachments/20151230/5cb36e22/attachment-0002.html>

...nks for your contribution. Akemi On Tue, Jan 15, 2019 at 10:12 PM jinho kong <gino7825 at gmail.com> wrote: > > Dear Centos-docs team > > Can I get a permission to edit "https://wiki.centos.org/kr/Download" > I can't modify link of release notes now. > > - zino > > 2016? 1? 1? (?) ?? 7:25, Alan Bartlett <ajb at elrepo.org>?? ??: >> >> On 30 December 2015 at 07:39, jinho kong <gino7825 at gmail.com> wrote: >> > My username is KongJinho >> > >> > >> > I'd like to ask permission to edit Ce...

...On Tue, Jan 15, 2019 at 10:12 PM jinho kong <gino7825 at gmail.com> wrote: > > > > Dear Centos-docs team > > > > Can I get a permission to edit "https://wiki.centos.org/kr/Download" > > I can't modify link of release notes now. > > > > - zino > > > > 2016? 1? 1? (?) ?? 7:25, Alan Bartlett <ajb at elrepo.org>?? ??: > >> > >> On 30 December 2015 at 07:39, jinho kong <gino7825 at gmail.com> wrote: > >> > My username is KongJinho > >> > > >> > > >> > I...

Hello, I have the following data1 (index are chars): ?? ?index 1 ?008823 2 ?012689 3 ?004503 4 ?002991 5 ?012689 6 ?002845 7 ?012689 8 ?012395 9 ?012689 10 009302 11 002845 12 006669 13 008823 14 009302 15 025340 16 012689 and data2 in this format (index2 are chars): ?? ? ? index2 ? ? ?tic 1 ? ? 001003 ? ? ANTQ 2 ? ? 001004 ? ? AIR 3 ? ? 001009 ? ? ABSI 4 ? ? 001011 ? ? ACSE etc I am

Has anyone managed to rn this? If yes, with what configuration on what distro and with which rom? Please help/ Help!

...ent component * llvm integration into llvm source tree preferable over external library; use latest version and possibly make own changes (good idea?) * Is there a use case of isl outside Polly? * Johannes: yes: polyhedral value analysis * Is Polly history preserved? * Yes * Zino: With wrapper it is easier put isl into LLVM * Tobias: More control over functionality, C++ class hierarchy * Tobias: is currently update when convenient * Do we want to have polyhedral stuff in LLVM? * Do we want to have a single community (stop polly-dev)? * Practical integration of...

2018-01-18 6:40 GMT+01:00 Chris Lattner <clattner at nondot.org>: > Great, I think that that would be a fine approach: you can have the cmake logic detect which version of isl is installed and fail if it is the wrong version. This would address my concern. > The motivation explained in the original email seemed to hinge around the fact that Polly’s unit tests depend on accidental

On 09/22/2017 12:25 AM, Mehdi AMINI wrote: > > > 2017-09-21 22:22 GMT-07:00 Hal Finkel <hfinkel at anl.gov > <mailto:hfinkel at anl.gov>>: > > > On 09/22/2017 12:03 AM, Mehdi AMINI wrote: >> Hi Hal, >> >> >> 2017-09-21 20:59 GMT-07:00 Hal Finkel via llvm-dev >> <llvm-dev at lists.llvm.org <mailto:llvm-dev at

Alright, I apologize for this basic question - I am both an R and loess noob. I am trying to predict the values of column Y in data1 (100000x18 entries) using a loess fit on training (500x18 entries) and columns A B and C. (training are not members of data1) fit <- loess(Y ~ A + B + C, training) predicted <- predict(fit, data1) However, I'm getting such good predictions that I have