similar to: [LLVMdev] How To Pass An Command Line Option To The Pass

On 2/22/2012 7:29 AM, Sevak Sargsyan wrote: > Hi all, > I have problem with debugging clang, gdb does not stop in function > ParseFrontendArgs, the function works because I wrote errs() and I saw > it in command line, > I also wrote __asm__("int $3") in ParseFrontendArgs but it does not help. Are you debugging the correct process? Note that invocations of

Hi all, I have problem with debugging clang, gdb does not stop in function ParseFrontendArgs, the function works because I wrote errs() and I saw it in command line, I also wrote __asm__("int $3") in ParseFrontendArgs but it does not help. Thanks in advance.

Dear R Helpers, I have trouble applying reShape and reshape although I read the documentation and several posts, so I would very much appreciate your help on the two points below. I have a dataframe df = data.frame(Name=c("a", "a", "a", "b", "b", "c"), X1=c("12", "13", "14", "20", "25",

Dear R Helpers, I am missing something very elementary here, and I don't seem to get it from the help pages of the ave, seq and seq_along functions, so I wonder if you could offer a quick help. To use an example from an earlier post on this list, I have a dataframe of this kind: dat = data.frame(name = rep(c("Mary", "Sam", "John"), c(3,2,4))) dat$freq =

Dear All, Is it possible to replace function with my own? I want to apply pca clustering, but to use some strange correlation function. I'm asking about replacing, say, mean() with new content of mean() and use standard other functions, which might use mean() as part. karsar

Is it possible to implement my own distance and mean for k-means clustering for any clustering package in R? Just looking for simple way, without creating a new package. karsar

Dear all, We are doing some research about the time series analysis of NDVI, and we found the NDVITS package which is a very great tool. Unfortunately when we run it, after TimeSeriesAnalysis it asks to enter "Village or Country". library("ndvits", lib.loc="/home/vahe/R/i686-pc-linux-gnu-library/2.15")

Hi all and thank you in advance. I have problem connected with to functions basic blocks list splice, I have tried to splice list of basic blocks one function with another and after delete it, I have replaced all uses of this function with another, I have even tried splice basic blocks of copy of this function, but it also does not help, I have got working byte code and I have compiled it by help

I realize that this is terribly basic, but I just don't seem to see it at this moment, so I would very much appreciate your help. How shall I transform this dataframe: > df1 ? Name Index Value 1??? a???? 1?? 0.1 2??? a???? 2?? 0.2 3??? a???? 3?? 0.3 4??? a???? 4?? 0.4 5??? b???? 1?? 2.1 6??? b???? 2?? 2.2 7??? b???? 3?? 2.3 8??? b???? 4?? 2.4 into this dataframe: > df2 ??? Index?

I think that we should think about the relationship between this proposed mechanism and the existing mechanism that we have for emitting and capturing optimization remarks. In some sense, I feel like we already have a lot of this capability (e.g., llc has -remarks-section).  -Hal On 8/5/20 5:51 PM, Johannes Doerfert via llvm-dev wrote: > I like the ability, not sure about the proposed

Hello John, I was following your procedures and I isolated the problem. The problem are represented by the basic blocks with only one element. for (Function::iterator II = F.begin(), EE = F.end(); II != EE; ++II, ++ii) { BasicBlock* BB=II; if (BB->getTerminator()) { Instruction* current = BB->getTerminator(); Instruction* previous;

Dear R Helpers, I read carefully the documentation and all postings on the hclust and cutree functions, however some aspects of the tree ordering and cluster assignment performed by these functions remain unclear to me, so I would very much appreciate your help in making sure I get them right. Here is an example, with values chosen to illustrate the problems. I have a set of five profiles

Hello John, I was following your procedures and I isolated the problem. The problem are represented by the basic blocks with only one elements. for (Function::iterator II = F.begin(), EE = F.end(); II != EE; ++II, ++ii) { BasicBlock* BB=II; if (BB->getTerminator()) { Instruction* current = BB->getTerminator(); Instruction* previous;

Hello everyone, I have a segmentation fault while running an LLVM pass. I need to use BBterminators array outside the iterating "for" loop for basic blocks. It seems that LLVM does not protect the addresses ( note: TerminatorInst *BasicBlock::getTerminator() ) when iterating through the loop, so I need to keep in BBterminators "Instruction" type elements, not

Guillermo, > I'm sorry I forgot to mention I am compiling the bitcode using the JIT. The > actual error, I get when I'm trying to get the function to the pointer. I'm > using a custom front end that translates Android's Dalvik bytecode into LLVM > bitcode based on Android ICS's modified LLVM version. ARM JIT is broken in many ways. So, what you're seeing is

Quick results: [twang15 at c89 temp]$ clang -mllvm -help clang-5.0: error: no input files [twang15 at c89 temp]$ clang -mllvm -help-hidden clang-5.0: error: no input files [twang15 at c89 temp]$ clang -mllvm --help-hidden clang-5.0: error: no input files [twang15 at c89 temp]$ clang -mllvm --help clang-5.0: error: no input files Anything wrong? On Tue, Jan 9, 2018 at 1:56 AM, Craig Topper

Hi guys, According to this patch review: *Title: Remove the '-disable-llvm-passes' flag (which I didn't even know existed, and I suspect many others aren't aware of either) and strength '-disable-llvm-optzns' to do the same thing* Link: https://reviews.llvm.org/D28047 *-disable-llvm-optzns and -disable-llvm-passes are aliasing each other.* *1. Both can be passed to cc1

Introduction ============ This RFC proposes a mechanism to dump arbitrary messages into object files during compilation and retrieve them from the final executable. Background ========== We often need to collect information from all object files of applications. For example: - Mircea Trofin needs to collect information from the function inlining pass so that he can train the machine

clang -O3 -mllvm -help -c LULESH.cc succeeds. On Tue, Jan 9, 2018 at 2:05 AM, toddy wang <wenwangtoddy at gmail.com> wrote: > Quick results: > > [twang15 at c89 temp]$ clang -mllvm -help > clang-5.0: error: no input files > [twang15 at c89 temp]$ clang -mllvm -help-hidden > clang-5.0: error: no input files > [twang15 at c89 temp]$ clang -mllvm --help-hidden >

Thanks for pointing this out. The following is a more extensive test. //succeed means dumping help info without Error message. clang -help #succeed 'clang -help-hidden' #Fail 'clang --help-hidden' #Succeed clang -mllvm -v -help #Succeed clang -mllvm -v -help-hidden #Fail clang -mllvm -v --help-hidden #Succeed 'clang -mllvm -help -c LULESH.cc' #Succeed 'clang -mllvm