similar to: [LLVMdev] ASM appears to be incorrect from llc

On Wed, Feb 15, 2012 at 3:36 PM, Matthew Huck <matthew.huck at gmail.com> wrote: > Hi, >   I'm trying to compile an intermediate representation file to ASM (intel > style), and I believe that the resultant ASM is invalid. The IR is: > > ; ModuleID = 'test.u' > > %vec2 = type { float, float } > @t = global %vec2 zeroinitializer > @x = global i32 0 >

Hi, It doesn't compile with yasm, or nasm (reports invalid combination of opcode and operands), and mov _x,EAX is meaningless as _x is just a label (an numeric constant that happens to be an address), so it would have to be dereferenced to get to the memory at that address, otherwise it's like saying mov 0x12341234, EAX Now, my asm skills are not that great, so I'm prepared to be

Hi, I'm almost there with my Yasm printer, however, I've stumbled upon this. Using this: ; ModuleID = 'data.u' %window = type { %visobj, %vec2, %vec2, %vec2, %string, %color, i32, i32, %string, %string, %string, i1, i1, i1, i1, i1, i1, i32, i8* } %visobj = type { %object, i1, i1, i1, i1, %color, %vec4, %vec4, %vec4, %vec4, i32, %mat4, %mat4, %mat4, %mat4, %material*,

Dear R-helpers: I have a question related to using do.call to call cbind and get. #the following works vec1 <- c(1,2) vec2 <- c(3,4) ColNameVec <- c('vec1','vec2') mat <- do.call("cbind",lapply(ColNameVec,get)) mat #put code above into a function then it does not work #before doing so, first remove vec1 and vec2 from global environment rm(vec1,vec2) test

Hello. Sorry I am not sure this question should go to llvm or mesa3d-dev mailing list, so I post it to both. I am writing a llvm backend for a modern graphics processor which has a ISA very similar to that of Direct 3D. I am reading the code in Gallium-3D driver in a mesa3d branch, which converts the shader programs (TGSI tokens) to LLVM IR. For the shader instruction also found in LLVM IR,

Hello Wise Ones... I need a clever way around a problem with findInterval. Consider: vec1 <- 1:10 vec2 <- seq(1, 10, by = 0.1) x1 <- c(2:3) a1 <- findInterval(x1, vec1); a1 # example 1 a2 <- findInterval(x1, vec2); a2 # example 2 In the problem I'm working on, vec* may be either integer or numeric, like vec1 and vec2. I need to remove one or more sections of this vector;

Hi, Try: ?vec1<-c(1,1,1,1,1,1,1,1,1) if(all(vec1==1)) "xxxxxxxxx" else? "yyyyyyyyyyy" #[1] "xxxxxxxxx" ?vec2<-c(rep(1,4),2) ?if(all(vec2==1)) "xxxxxxxxx" else? "yyyyyyyyyyy" #[1] "yyyyyyyyyyy" #or if(length(unique(vec1))==1) "xxxxxxxxx" else? "yyyyyyyyyyy" #[1] "xxxxxxxxx" ? if(length(unique(vec2))==1)

Try factor(vec2) in your bwplot() call. -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Ernesto Jardim Sent: Friday, July 09, 2004 9:41 AM To: Mailing List R Subject: [R] Problem with bwplot Hi, I'm ploting some box-and-whisker plots with bwplot but I'm not getting any box-and-whiskers ... just dots.

Is there any built-in way to lexicographically compare two vectors of the same length in R? The textbook algorithm could be coded as follows: lex.cmp <- function (vec1,vec2) { for (j in 1:length(vec1)) { if (vec1[j] < vec2[j]) { return(-1) } if (vec1[j] > vec2[j]) { return(1) } } return(0) } Thanks, Gabriel

I'm not sure this list is the right place for this thing. I noticed some erratic behaviour in sammon(). Running sammon on two nearly identical sets of data results in very different results. Below is an example. I create an initial configuration with cmdscale() and store it into 'vec1'. I write this to file, and read it back in again to 'vec2'. According to cor() on the three

Dear Elisa, Try this: vec1<-c(33,18,13,47,30,10,6,21,39,25,40,29,14,16,44,1,41,4,15,20,46,32,38,5,31,12,48,27,36,24,34,2,35,11,42,9,8,7,26,22,43,17,19,28,23,3,49,37,50,45) vec2<-vec1[1:26] names(vec2)<-LETTERS[1:26] label1<-unlist(lapply(mapply(c,lapply(seq(0,45,5),function(x) x),lapply(seq(5,50,5),function(x) x),SIMPLIFY=FALSE),function(i)

Dear R useRs, i try to integrate the following function for many values "integrand" <- function(z) { return(z * z) } i do this with a for-loop for(i in 2:4) { z <- integrate(integrand, i-1, i)$value cat("z", z, "\n") } to speed up the computation for many values i tried vectors in integrate to do this. vec1<-1:3 vec2<-2:4

Simple one, have read and googled, still no luck! I want to create several empty vectors all of the same length. I would like multiple empty vectors (vec1, vec2, vec3) and want to create them all in one line. I've tried vec1,vec2,vec3 <- vector(length=5) and c(vec1,vec2,vec3) <- vector(length=5) and several other attempts but nothing seems to work ... suggestions? Thanks Jim

Hello, I'm using the eclat function of the arules package (1.0-6) for the identification of frequent itemsets. I need the tidLists, but if I set in the function tidLists=TRUE R crashes (Windows XP Professional SP3, 32 bit, R version 2.12.1 (2010-12-16), reproducible on two different computers) with two different error messages or non at all. Minimum examples are: library(arules)

Hi all, I’ve narrowed down a problem in my code to the following test case: - - - - typedef struct {float v[2];} vec2; typedef struct {float v[3];} vec3; vec2 getVec2(); vec3 getVec3() { vec2 myVec = getVec2(); vec3 res; res.v[0] = myVec.v[0]; res.v[1] = myVec.v[1]; res.v[2] = 1; return res; } - - - - Compiling this with any level of optimization for arm64 gives incorrect code,

Thanks Bruce. > On 4 May 2015, at 13:18, Bruce Hoult <bruce at hoult.org> wrote: > > I can confirm that, with Apple LLVM version 6.0 (clang-600.0.56) (based on LLVM 3.5svn) > > Very strange! Yes, that’s what I thought. I’ve also checked the binary downloads for OS X from llvm.org <http://llvm.org/> and get the same broken code from both the 3.5.2 and 3.6.0 releases.

Hi everyone. I am quite frustrated that this doesn't work, as all the functions within work fine by themselves. I'd also like any pointers to how to avoid 'for' loops in my code. I understand it's less than desirable, but I'm still quite new and use them a lot. I have a few wide datasets (90 to 120) with long column names, each name contains a number of different

Hello again, Let say I have following user defined function: fn <- function(x, y) { Vec1 <- letters[1:6] Vec2 <- 1:5 return(list(ifelse(x > 0, Vec1, NA), ifelse(y > 0, Vec2, NA))) } Now I have following calculation: > fn(-3, -3) [[1]] [1] NA [[2]] [1] NA > fn(3, -3) [[1]] [1] "a" [[2]] [1] NA Here I can not understand why in the second case, I get

I wanted to use LLVM for my math parser but it seems that floating point optimizations are poor. For example consider such C code: float foo(float x) { return x+x+x; } and here is the code generated with "optimized" live demo: define float @foo(float %x) nounwind readnone { entry: %0 = fmul float %x, 2.000000e+00 ; <float> [#uses=1] %1 = fadd float %0, %x

Dear All, I'm dealing with a case, where 'manhattan' distance of each of 100 vectors is calculated from 10000 other vectors. For achieving this, following 4 scenarios are tested: 1) scenario 1: > x<-read.table("query.vec") > v<-read.table("query.vec2") > d<-matrix(nrow=nrow(v),ncol=nrow(x)) > for (i in 1:nrow(v)){ + d[i,]<-