similar to: [LLVMdev] L->isLoopInvariant giving wrong results?

On Nov 17, 2010, at 2:20 AM, Sreeraj a wrote: > Hi, > I'm trying to write a simple pass to print out Loop invariant instructions, using the > Loop::isLoopInvariant(Instruction *I) > function. it is giving me false value on instructions which should be loop invariant. > > the code i am using is: The isLoopInvariant method just works for scalar operations like

The funny thing is that i am manually able to hoist the Loop invariant instruction to the basicBlock terminator, by editing the human readable form and then using llvm-as to convert it into bytecode. On Thu, Nov 18, 2010 at 4:01 AM, Chris Lattner <clattner at apple.com> wrote: > > On Nov 17, 2010, at 1:38 PM, Sreeraj a wrote: > > > Thanks Chris, > > > > I was

i am getting seg fault on functions like I->eraseFromParent also. I'm assuming that the problem comes when i change the loop structure. On Thu, Nov 18, 2010 at 4:05 AM, Sreeraj a <writetosrj at gmail.com> wrote: > The funny thing is that i am manually able to hoist the Loop invariant > instruction to the basicBlock terminator, by editing the human readable form > and then

Thanks Chris, I was able to weed out loop invariant arithmetic instructions using isLoopInvariant function. when i try to do an instruction->moveBefore(bb->getTerminator()) i'm getting a seg fault. any obvious reasons that i'm missing out on? Thanks in advance On Wed, Nov 17, 2010 at 10:41 PM, Chris Lattner <clattner at apple.com> wrote: > > On Nov 17, 2010, at 2:20

my changed code. namespace { class MyLoopPass:public LoopPass { bool changed; public: static char ID; Loop* curLoop; // AnalysisType* AA; DominatorTree* DT; LoopInfo* LI; MyLoopPass() : LoopPass(ID){} bool isLoopInvariantInst(Instruction &I) ; bool runOnLoop(Loop * L, LPPassManager &lpm); virtual void getAnalysisUsage(AnalysisUsage &AU) const {

On Nov 17, 2010, at 1:38 PM, Sreeraj a wrote: > Thanks Chris, > > I was able to weed out loop invariant arithmetic instructions using isLoopInvariant function. > when i try to do an instruction->moveBefore(bb->getTerminator()) i'm getting a seg fault. > any obvious reasons that i'm missing out on? No idea, sorry. -Chris

Dear R Users, I am trying to replace a substring in a string with something else. For example: if we have "abc.degg.hijk" I would like to replace all the "." with a SPACE to become "abc degg hijk" I have tried the replace.substring.wild function in the Hmisc package but get this error: > replace.substring.wild("abc.degg.hijk","*.*","

Ty Eli for your answer. On Tue, Jan 17, 2017 at 8:11 PM, Friedman, Eli <efriedma at codeaurora.org> wrote: > On 1/17/2017 7:12 AM, Thomas RUBIANO via llvm-dev wrote: > >> Hi all! >> >> I'm new here, and would like to implement my own Loop Invariant Detection >> adding some more information on Quasi-Invariants. >> >> First, is there anything

On Wed, Jan 18, 2017 at 8:05 PM, Friedman, Eli <efriedma at codeaurora.org> wrote: > On 1/18/2017 2:56 AM, Thomas RUBIANO wrote: > > Ty Eli for your answer. > > On Tue, Jan 17, 2017 at 8:11 PM, Friedman, Eli <efriedma at codeaurora.org> > wrote: > >> On 1/17/2017 7:12 AM, Thomas RUBIANO via llvm-dev wrote: >> >>> Hi all! >>>

Hi all! I'm new here, and would like to implement my own Loop Invariant Detection adding some more information on Quasi-Invariants. First, is there anything about Quasi-Invariants detection in LLVM I would missed? I've seen LICM using LoopInfo::isLoopInvariant for finding invariants. It seems that this method considers a Value invariant if: - it's an Instruction not presents in the

Hi again, how to elegantly split s <- "ABCDEFGT(P)HIJK" into "A" "B" "C" "D" "E" "F" "G" "T(P)" "H" "I" "J" "K" (independently of which letters 'T' or 'P' actually represent ...). Please jumstart my regexing, Joh

On Oct 12, 2009, at 3:46 AM, Prasenjit Chakraborty wrote: > > Hi, > How do I access the loop variables in a loop. > > for(i = 0; i < N; i++) > for(j = 0; j < M; j++) > A[i][j+k] = i + j; > > Is there anyway for me to know that in A[i][j+k], i & j are loop > variables > whereas k is not! The ScalarEvolution analysis can help here.

Hi, I'm getting a segmentation fault trying to write a small(incomplete) LICM pass whenever i try to do I->moveBefore(pre->getTerminator()); (wherer I is Instruction*, Pre is BasicBlock*) Is there any prerequisites for executing this function that i am not doing? Thanks in advance. sreeraj -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hallo, I didn´t found any facilities for Halbergs cosinor analysis in R. This analysis is well known in the Chronobiology as the least square approximation of time series using cosine function of known period (in my case of 24hours-period). I tried to write a script but crashed... Can you give me some advices, please!? Thanks Anne Berger Institute of Zoo- and Wildlife Research, Berlin, Germany

Dear all, As our previous email did not get any response, we try again with a reformulated question! We are trying to do something which needs an efficient loop over a huge array, possibly functions such as apply and related (tapply, lapply...?), but can't really understand syntax and examples in practice...i.e. cant' make it work. to be more specific: we are trying to apply a mask

Dear R developers, I was looking for a function analogous to base::diag() for getting and setting bands of a matrix. The closest I could find was Matrix::band(), but this was not exactly what I wanted for two reasons. Firstly, Matrix::band() returns a matrix rather than just the specified band. Secondly, Matrix::band() cannot be used for setting the values for a matrix band. Setting or

Dear all I would like to ask you if an assignment can be done inside a lapply statement. For example I would like to covert a double nested for loop for (i in c(1:dimx)){ for (j in c(1:dimy)){ Powermap[i,j] <- Pr(c(i,j),c(PRX,PRY),f) } } to something like that: ij<-expand.grid(i=seq(1:dimx),j=(1:dimy)) unlist(lapply(1:nrow(ij),function(rowId) { return

I am out of my league with this question. The following code starts the java imaging program ImageJ from within R, and displays an image (assuming ImageJ is installed on your computer). library(RImageJ) img <- IJ$openImage( file.choose() ) #pick an available .tif file img$show() # make the image object visible # An image is now displayed # find out about the objects involved >

I need to refresh my memory on Probability Theory, especially on conditional probability. In particular, I want to solve the following two problems. Can somebody point me some good books on Probability Theory? Thank you! 1. Z=X+Y, where X and Y are independent random variables and their distributions are known. Now, I want to compute E(X | Z = z). 2.Suppose that I have $I \times J$ random number

Hi, I am trying to parameterize the following mixed model (following Piepho and Ogutu 2002), to test for a trend over time, using multiple sites: y[ij]=mu+b[j]+a[i]+w[j]*(beta +t[i])+c[ij] where: y[ij]= a response variable at site i and year j mu = fixed intercept Beta=fixed slope w[j]=constant representing the jth year (covariate) b[j]=random effect of jth year, iid N(0,sigma2[b]) a[i]=random