similar to: [PATCH] drm/nouveau: remove >1 sclass support from nouveau_parent_create_

Signed-off-by: Marcin Slusarz <marcin.slusarz at gmail.com> --- This patch relies on "drm/nouveau: remove >1 sclass support from nouveau_parent_create_". There are *many* *more* code paths without proper error handling - I counted at least 106 in 41 functions. If someone would like to do a bit of janitorial work I marked those code paths and uploaded "patch" here:

The ffsll function is a lot slower than the __ffs64 built-in which compiles to a single instruction on 64-bit. It's also nice to avoid custom versions of standard functions. Note that __ffs == ffs - 1. Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> --- I wrote a user-space program to test these out and make sure that the functions behaved as expected. The logic in abi16 had to be

Add a nouveau_drm_platform_probe() function that probes a Nouveau platform device and registers it using drm_platform_init(). Signed-off-by: Alexandre Courbot <acourbot at nvidia.com> --- drivers/gpu/drm/nouveau/core/engine/device/base.c | 34 ++++++++++++++++++++++ .../gpu/drm/nouveau/core/include/engine/device.h | 10 +++++++ drivers/gpu/drm/nouveau/nouveau_drm.c | 19

On Mon, Feb 10, 2014 at 02:53:00PM +0900, Alexandre Courbot wrote: [...] > diff --git a/drivers/gpu/drm/nouveau/core/engine/device/base.c b/drivers/gpu/drm/nouveau/core/engine/device/base.c [...] > +resource_size_t > +nv_device_resource_start(struct nouveau_device *device, unsigned int bar) > +{ > + if (nv_device_is_pci(device)) { > + return pci_resource_start(device->pdev,

Signed-off-by: Marcin Slusarz <marcin.slusarz at gmail.com> --- drivers/gpu/drm/nouveau/core/core/parent.c | 2 ++ drivers/gpu/drm/nouveau/core/include/core/parent.h | 3 +++ 2 files changed, 5 insertions(+) diff --git a/drivers/gpu/drm/nouveau/core/core/parent.c b/drivers/gpu/drm/nouveau/core/core/parent.c index a1ea034..0e7733c 100644 ---

Upcoming mobile Kepler GPUs (such as GK20A) use the platform bus instead of PCI to which Nouveau is tightly dependent. This patch allows Nouveau to handle platform devices by: - abstracting PCI-dependent functions that were typically used for resource querying and page mapping, - introducing a nv_device_is_pci() function that allows to make PCI-dependent code conditional, - providing a

Hello everybody, This is a bug involving functions in core R package: graphics::hist.default, grDevices::nclass.FD, and base::pretty.default. It is not yet on Bugzilla. I cannot submit it myself, as I do not have an account. Could somebody else add it for me, perhaps? That would be much appreciated. Kind regards, Sietse Sietse Brouwer Summary ------- Floating point errors can cause a data

Hi, I am running the following loop, but it takes hours to run as n is big. Is there any way "apply" can be used? Thanks. ### Start nclass <- dim(data)[[2]] - 1 z <- matrix(0, ncol = nclass, nrow = nclass) n <- dim(data)[[1]] x <- c(1:nclass) # loop starts for(loop in 1:n) { r <- data[loop, 1:nclass] classified <- x[r == max(r)]

Hi Louis, You could try this: # find the index of the maximum value in each row of _data_, # disregarding the last column classified <- apply(data[,-(nclass+1)],1,which.max) ## or, if the maximum may be repeated: classified <- apply(data[,-(nclass+1)], 1, FUN = function(x) which(x == max(x))) # the variable _truth_ is just the last column of _data_ ? truth <- data[,nclass + 1] ?table

I just got the same error message with > sessionInfo() R version 3.4.0 (2017-04-21) Platform: x86_64-apple-darwin15.6.0 (64-bit) Running under: macOS Sierra 10.12.4 Matrix products: default BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib

Dear list, I get the following message while computing truehist in R 1.4.1 on Redhat Linux 7.1: > truehist(lsk$Pox, nbins = "FD" , prob = TRUE, xlab = "Pox [mmol/kg]") Error in switch(casefold(nbins), scott = nclass.scott(data), "freedman-diaconis" = , : couldn't find function "nclass.fd" Maybe the "nclass.fd" should be

Is color specification like this available in R for setting postscript colors? > hue <- c(0, seq(from = 0, by = 1/(nclass), length = nclass)) > sat <- c(0, rep(1.0, nclass)) > bri <- c(0, rep(1.0, nclass)) > zcolors <- cbind(hue, sat, bri) > ps.options (setcolor=ps.setcolor.hsb,colors=zcolors)

Please can someone explain to me how to use randomLCA in R for an analysis. I tried using it and had this error (copied below) which indicated my patterns must consist of 0 or 1. I assume I am doing something wrong. Please help. > library(lattice) > library(boot) Attaching package: ‘boot’ The following object(s) are masked from ‘package:lattice’: melanoma > library(utils) >

Hi folks, I know, this is a fairly common question and I am really disappointed that I could not find a solution. I am trying to calculate Mahanalobis distances in a data frame, where I have several hundreds groups and several hundreds of variables. Whatever I do, however I subset it I get the "system is computationally singular: reciprocal condition number" error. I know what it means

Hi I have recently been analyzing birthweight data from a clinic. The data has obvious defects in that there is digit preference on certain weights making them overrepresented. This shows as spikes in the histogram on certain well rounded weights like 2, 2.5, 3, etc. I would like to show this to government officials but can't figure out how I should present the finding in an easy to

Hi Folks, I'd like to know how hist() decides how many cells to use when it ignores my "suggestion" to use say 'hist(...,breaks=50)'. More specifically, I have the results of 10000 simulations, each returning an 8-vector, therefore 8 variables each with 10000 values. Some of these 8 have somewhat skew distributions. Say one of these 8 variables is X. I ask for H <-

Dear list members, I am trying to use the maptools library to display geographical data. At the moment I have some trouble understanding how the " auxvar " variable is supposed to be used in the plot.Map function. I am using R Version 1.8.1 (2003-11-21) on Linux Looking at the plot.Map function itself, I see that it calls a color.ramp function (I am reporting only the relevant

Hi All, I would like to make an invitation to make a collective package with all functions related to TABLES. I know that there are many packages with these functions, the original idea is collect all this functions and to make a single package, because is arduous for the user know all this functions broadcast in many packages. So, I think that the original packages can continue with its

Dear list, I'm trying to do a set of generic functions do make contingency tables from data.frames. It is just running "nice" (I'm learning R), but I think it can be better. I would like to filter the data.frame, i.e, eliminate all not numeric variables. And I don't know how to make it: please, help me. Below one of the my functions ('er' is a mention to EasieR,

Hello: I am using rpart and would like more background on how the splits are made and how to interpret results - also how to properly use text(.rpart). I have looked through Venables and Ripley and through the rpart help and still have some questions. If there is a source (say, Breiman et al) on decision trees that would clear this all up, please let me know. The questions below pertain to a