similar to: [LLVMdev] generating pass timing info in a JIT context

Oh, you probably also need to create a static llvm_shutdown_obj. On 06/01/2011 02:19 PM, Michael Ilseman wrote: > Thanks for the reply! Unfortunately, that seems to have the same > effect as setting llvm::TimePassesIsEnabled myself, and all my same > problems still apply as the TimingInfo's destructor (PassManager.cpp) > is still never called. Running it in the debugger shows that

Thanks for the reply! Unfortunately, that seems to have the same effect as setting llvm::TimePassesIsEnabled myself, and all my same problems still apply as the TimingInfo's destructor (PassManager.cpp) is still never called. Running it in the debugger shows that TimerGroup's removeTimer method is never called, nor is it's destructor (but it's constructor is). On Wed, Jun 1, 2011

I got it working with this: int argc = 2; const char *argv[2] = {"myopt", "-time-passes"}; cl::ParseCommandLineOptions(argc, (char **)argv, "my optimizer"); On 06/01/2011 01:19 PM, Michael Ilseman wrote: > I have some PassManagers, and I would like to output timing data for > how long each pass takes to execute with a separate

I have some PassManagers, and I would like to output timing data for how long each pass takes to execute with a separate application using the API, rather than through an llvm tool. Unfortunately, I'm having trouble seeing how to use the existing facilities without using opt. Setting llvm::TimePassesIsEnabled before creating the PassManagers doesn't seem to output anything, though it is

Hello, I would like to increase the number of iterations for running a Buckley-James regression model in the rms package, but something is apparently syntactically wrong. The following code initially is exactly as it appears in the help page (which runs successfully), then a "failure to converge" message (resulting from specifying an 'identity' link argument, the error message

Hello, I have a question regarding competing risk regression using cmprsk package (function crr()). I am using R2.9.1. How can I do to assess the effect of qualitative predictor (gg) with more than two categories (a,b,c) categorie c is the reference category. See above results, gg is considered like a ordered predictor ! Thank you for your help Jan > # simulated data to test > set.seed(10)

Hi, I would like to write a function which has the following syntax: myfn <- function(formula, ftime, fstatus, data) { # step 1: obtain terms in `formula' from dataframe `data' # step 2: obtain ftime from `data' # step 3: obtain fstatus from `data' # step 4: do model estimation # step 5: return results } The user would call this function as: myfn(formula=myform,

On Wed, May 20, 2009 at 1:19 PM, Eli Friedman <eli.friedman at gmail.com> wrote: > Per subject, this patch adding an additional pass to handle vector > operations; the idea is that this allows removing the code from > LegalizeDAG that handles illegal types, which should be a significant > simplification.  There are still some issues with this patch, but does > the approach

Hello everyone, (This is my second question posted today on the R list). I am carrying out a competing risks analysis using the cuminc function...this takes the form: cuminc(ftime,fstatus,group) In my study, fstatus has 3 different causes of failure (1,2,3) there are also censored cases (0). "group" has two levels (0 and 1). I therefore have 6 different cumulative incidence curves:

Full_Name: Ulrike Gr?mping Version: 2.2.1 OS: Windows Submission from: (NULL) (84.190.139.94) A wish somehow related to my wish 8658: Package foreign allows to import categorical data from SPSS (and possibly other software) using the original codes, which are often useful for data manipulation, since one can use already available lists of codes from others who don't use R etc. The original

Dear R users, I created a matrix that tells me the first day of use of a category by id. #Calculate time difference test$tdiff<-as.numeric(difftime(as.Date("2002-09-01"), test$ftime, units = "days")) # obtain the index date per person and dcategory index.date.test<-tapply(test$tdiff, list(test$id, test$rcat), max) Nonetheless, at the moment I think will be

Per subject, this patch adding an additional pass to handle vector operations; the idea is that this allows removing the code from LegalizeDAG that handles illegal types, which should be a significant simplification. There are still some issues with this patch, but does the approach look sane? -Eli -------------- next part -------------- Index: lib/CodeGen/SelectionDAG/LegalizeVectorOps.cpp

I am writing a cron script to check if certain extensions are online and if they aren't then Asterisk creates a couple of .call files to notify another set of extensions or external numbers. It works fine except for logging information. What I'm doing in the script is setting a "fake" caller ID (as it's generated by Asterisk, not by a user) and calling out real users. So

A problem has been pointed out by a French user of the survival package and I'm looking for a pointer. > options(OutDec= ",") > fit <- survfit(Surv(1:6 /2) ~ 1) > fit$time [1] NA 1 NA 2 NA 3 A year or two ago some test cases that broke survfit were presented to me. The heart of the problem was numbers that were almost identical, where table(x) and unique(x) gave

I have a data frame (morgan) of hourly river flow, river levels and wind direction and speed thus: Time hour lev.morgan lev.lock2 lev.lock1 flow direction velocity 1 2009-07-06 15:00:00 15 3.266 3.274 3.240 1710.6 180.282 4.352 2 2009-07-06 16:00:00 16 3.268 3.272 3.240 1441.8 192.338 5.496 3 2009-07-06 17:00:00 17 3.268

On Tue, Jul 16, 2013 at 1:37 PM, Xinliang David Li <xinliangli at gmail.com>wrote: > On Tue, Jul 16, 2013 at 1:33 PM, Chandler Carruth <chandlerc at google.com> > wrote: > > On Tue, Jul 16, 2013 at 1:18 PM, Xinliang David Li <xinliangli at gmail.com > > > > wrote: > >> > >> Ignoring FE time which can be fully parallelized and assuming 10%

On Tue, Jul 16, 2013 at 1:40 PM, Chandler Carruth <chandlerc at google.com> wrote: > On Tue, Jul 16, 2013 at 1:37 PM, Xinliang David Li <xinliangli at gmail.com> > wrote: >> >> On Tue, Jul 16, 2013 at 1:33 PM, Chandler Carruth <chandlerc at google.com> >> wrote: >> > On Tue, Jul 16, 2013 at 1:18 PM, Xinliang David Li >> > <xinliangli

Dear all, I am trying to use the crr function in the cmprsk package version 2.2 to analyse 198 observations.I have receive the error in solve.default. Can anyone give me some insights into where the problem is? Thanks here is my script : cov=cbind(x1,x2) z<-crr(ftime,fstatus,cov)) and data file: x1 x2 fstatus ftime 0 .02 1 263 0 .03 1 113 0 .03 1 523

On Tue, Jul 16, 2013 at 1:33 PM, Chandler Carruth <chandlerc at google.com> wrote: > On Tue, Jul 16, 2013 at 1:18 PM, Xinliang David Li <xinliangli at gmail.com> > wrote: >> >> Ignoring FE time which can be fully parallelized and assuming 10% >> compile time is spent in serial module passes, 25% time is spent in >> CGSCC pass, the maximum speed up that can

I have a file for which clang-7 takes over 2 hours to compile with -O3. For the same file, clang-5 takes less than 2 minutes (which is also high IMHO). I will try to create a test case (but it is pretty simple, it only contains initializations of many arrays of structs where the structs are of the following form: struct Foo { EnumType1 e1; // there are 700+ enum labels std::string s1;