similar to: --backup-dir confusion

On Mon, 3 Feb 2025 11:23:53 +0000 Liviu Dudau <liviu.dudau at arm.com> wrote: > On Mon, Feb 03, 2025 at 10:21:53AM +0100, Boris Brezillon wrote: > > +Akash with whom we've been discussing adding a 'REPEAT' mode to > > drm_gpuvm/panthor. > > > > On Sun, 2 Feb 2025 19:53:47 +0100 > > Danilo Krummrich <dakr at kernel.org> wrote: > >

Hi Lina, On Sun, Feb 02, 2025 at 10:34:49PM +0900, Asahi Lina wrote: > Some hardware requires dummy page mappings to efficiently implement > Vulkan sparse features. These mappings consist of the same physical > memory page, repeated for a large range of address space (e.g. 16GiB). > > Add support for this to drm_gpuvm. Currently, drm_gpuvm expects BO > ranges to correspond 1:1

On Mon, Feb 03, 2025 at 10:21:53AM +0100, Boris Brezillon wrote: > +Akash with whom we've been discussing adding a 'REPEAT' mode to > drm_gpuvm/panthor. > > On Sun, 2 Feb 2025 19:53:47 +0100 > Danilo Krummrich <dakr at kernel.org> wrote: > > > Hi Lina, > > > > On Sun, Feb 02, 2025 at 10:34:49PM +0900, Asahi Lina wrote: > > > Some

+Akash with whom we've been discussing adding a 'REPEAT' mode to drm_gpuvm/panthor. On Sun, 2 Feb 2025 19:53:47 +0100 Danilo Krummrich <dakr at kernel.org> wrote: > Hi Lina, > > On Sun, Feb 02, 2025 at 10:34:49PM +0900, Asahi Lina wrote: > > Some hardware requires dummy page mappings to efficiently implement > > Vulkan sparse features. These mappings

Hello,   What function can I use for matrices addition? I couldn’t find any information about it in the manual or in the internet. (A+B suits, when the number of matrixes is small, function sum() doesn’t suit for matrices addition, because it sums all variables in the matrices and produces as an answer single number, not a matrix).   Best regards, Lina [[alternative HTML version

Hello,   Could someone help me please and to tell how to get the probability from empirical DENSITY (not parametric) for each data value (R function). For example, for normal distribution there is such a function like:   “dnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)”   I need the same function only for the empirical DENSITY function (which does not correspond to any typical

Dear list! I have run into a problem that seems very simple but I can't find any solution to it (have searched the internet, help-files and "An introduction to R" etc without any luck). The problem is the following: I would like to create a data.frame with two components (columns), the first component being a matrix and the second component a vector. Whatever I have tried so far, I

Implement the DRM driver abstractions. The `Driver` trait provides the interface to the actual driver to fill in the driver specific data, such as the `DriverInfo`, driver features and IOCTLs. Co-developed-by: Asahi Lina <lina at asahilina.net> Signed-off-by: Asahi Lina <lina at asahilina.net> Signed-off-by: Danilo Krummrich <dakr at redhat.com> ---

Hello, How do I import data from Excel onto R? I am using S-Plus Envstat module. I need to use some of the data that already exist in the Envstat and put it into R to make graphs, find basic informations like mean, median, standard deviation, etc. I have been reading the help links, but I don't see anything in reference to this. Please help me! -Maher Lina

From: Asahi Lina <lina at asahilina.net> DRM drivers need to be able to declare which driver-specific ioctls they support. Add an abstraction implementing the required types and a helper macro to generate the ioctl definition inside the DRM driver. Note that this macro is not usable until further bits of the abstraction are in place (but it will not fail to compile on its own, if not

On Wed, Jun 19, 2024 at 01:31:39AM +0200, Danilo Krummrich wrote: > Implement the DRM driver abstractions. > > The `Driver` trait provides the interface to the actual driver to fill > in the driver specific data, such as the `DriverInfo`, driver features > and IOCTLs. > > Co-developed-by: Asahi Lina <lina at asahilina.net> > Signed-off-by: Asahi Lina <lina at

On Mon, Sep 02, 2024 at 06:29:06PM +0200, Daniel Vetter wrote: > On Wed, Jun 19, 2024 at 01:31:39AM +0200, Danilo Krummrich wrote: > > Implement the DRM driver abstractions. > > > > The `Driver` trait provides the interface to the actual driver to fill > > in the driver specific data, such as the `DriverInfo`, driver features > > and IOCTLs. > > > >

I have a nightly cronjob that uses rsync to back up the files on another machine. Sometimes, I see error messages like this: send_files failed to open usr/home/setsuna/Maildir/new/1010573771.27924.lina.aaanime.net: No such file or directory It seems that the file existed at the moment rsync started, but as it was running that file (it's a file that stores an e-mail message; presumably the

Hi! Does anyone know how to do the test for goodness of fit of a logistic model (in rms package) after running fit.mult.impute? I am using the rms and Hmisc packages to do a multiple imputation followed by a logistic regression model using lrm. Everything works fine until I try to run the test for goodness of fit: residuals(type=c("gof")) One needs to specify y=T and x=T in the fit. But

Dear Sirs, I would like to ask you, what function can I use for matrices addition? I couldn't find any information about it in the manual or in the internet. (A+B suits, when the number of matrixes is small, function sum() doesn't suit for matrices addition, because it sums all variables in the matrices and produces as an answer single number, not a matrix). I would be very thankful for

Hello,   Could someone help me please and to tell how to get the probability from empirical distribution (not parametric) for each data value (R function). For example, for normal distribution there is such a function like:   “pnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)”   I need the same function only for the empirical distribution (which does not correspond to any typical

Hello,   Could someone help me please and to tell how to get the probability from empirical distribution (not parametric) for each data value (R function). For example, for normal distribution there is such a function like:   “pnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)”   I need the same function only for the empirical distribution (which does not correspond to any typical

Hello, I encouter a problem when i try to do "rake db:migrate": rake aborted! can''t convert Hash into String Here is the trace result: ** Invoke db:migrate (first_time) ** Invoke environment (first_time) ** Execute environment rake aborted! can''t convert Hash into String /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/1.8/fileutils.rb:1408:in

This question comes up periodically, probably enough to give it a proper thread and maybe point to this thread for reference (similar to the 'conservative anova' thread not too long ago). Moving from lme syntax, which is the function found in the nlme package, to lmer syntax (found in lme4) is not too difficult. It is probably useful to first explain what the differences are between the

>I'm thinking of how to backup an entire server ("server A") to a >remote area ("server B") using rsync. > >My initial thought was to have a shell account on server B, then have a >cronjob running as root on server A that uses rsync to send all the files >over to the shell account on server B. > >Then I thought that this is not reliable against