similar to: [LLVMdev] Selection Condition Codes

On Thu, Sep 11, 2008 at 6:14 PM, Villmow, Micah <Micah.Villmow at amd.com> wrote: > I am attempting to lower the selectCC instruction to the instruction set of > the backend I'm working on and I cannot seem to find a way to correctly > implement this instruction. I know how this instruction should get > implemented; I just have yet to find a way to do it. I want the select_cc

Eli, Thanks for the tips. I've been able to get something working using a custom instruction inserter, however, I'm still having the problem of linking together the setcc and the select_cc commands. I want to turn the setcc into a comparison and use the results in the select_cc register. However, the comparison information is in the select_cc instruction and the result of the comparison

Can someone explain how the condition code is passed from the MBlazeTargetLowering::LowerSELECT_CC to MBlazeTargetLowering::EmitCustomSelect custom inserter? In LowerSELECT_CC the condition code is never accessed (Op.GetOperand(4)) and I don't see how it ends up getting correctly passed to the MBlazeTargetLowering::EmitCustomSelect. > SDValue

@Don your solution does not solve Vijayan's scenario 2. I used spread and gather for that. An alternative solution to insert mising Fval - picking up with Don's newtst - is newtst <- c("FName: fname1", "Fval: Fval1.name1", "FName: fname2", "Fval: Fval2.name2", "FName: fname3", "FName: fname4", "Fval: fval4.fname4")

I'm trying to create a TableGen pattern to match extract_vector_elt. My pattern looks like this: (set i32:$dest, (extract_vector_elt v16i32:$src, i32:$index)) However, when I compile, I get an error: error: Variable not defined: 'extract_vector_elt' However, if I omit the rule and attempt to compile something that uses this functionality with clang, I get this error, which

Using Ulrik?s example data (and assuming I understand what is wanted), here is what I would do: ex.dat <- c("FName: fname1", "Fval: Fval1.name1", "Fval: ", "FName: fname2", "Fval: Fval2.name2", "FName: fname3") tst <- data.frame(x = ex.dat, stringsAsFactors=FALSE) sp <- strsplit(tst$x, ':', fixed=TRUE) chk <-

Hi Vijayan, one way going about it *could* be this: library(dplyr) library(tidyr) library(purrr) ex_dat <- c("FName: fname1", "Fval: Fval1.name1", "Fval: ", "FName: fname2", "Fval: Fval2.name2", "FName: fname3") data.frame(x = ex_dat) %>% separate(x, c("F1", "F2"), sep = ": ") %>% filter(F2

--Multipart_Mon_Nov_24_14:51:09_1997-1 Content-Type: text/plain; charset=US-ASCII >>>>> "PaulG" == Paul Gilbert <pgilbert@bank-banque-canada.ca> writes: MM> The code is basically in V&R 1 and 2; V&R2 on p.167. I have it as a MM> C function that I used to dyn.load into S-plus in order MM> to prove that S-plus was using it.

Hi r-users,   I have the following code to solve 4 simultaneous eqns with 4 unknowns using newton iteration method.  But I got the error message:   pars <- c(1.15, 40, 50, 0.78) newton.input2 <- function(pars) {  ## parameters to estimate      alp <- pars[1]    b1  <- pars[2]     b2  <- pars[3]    rho <- pars[4]   f1 <- pars[1]*pars[2] f2 <-

Hello everyone, I'm trying to estimate the parameters of the returns series attached using the GARCH code below, but I get the following error message: Error in solve.default(Hessian) : system is computationally singular: reciprocal condition number = 0 Error in diag(solve(Hessian)) : error in evaluating the argument 'x' in selecting a method for function 'diag' Can

Hello, I'd like to write some unit tests which verifies SELECT_CC and BR_CC lowering for ARM target, but I'm almost completely unfamiliar with llvm/Target. How can I get this nodes in DAG? Thanks. -- Kind regards, Dmitry Borisenkov -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hello. :) I've met a problem that eliminates a live code in code generation phase. The initially generated code is shown as follows (as a pseudo code): ( Before pseudo-code expansion. ) ---------- loop: : : set P0 <- xxx ( P0: a physical register for a parameter of function F ) set P1 <- yyy ( P1: a physical register for a parameter of function F ) SELECT_CC z1, z2, z3, ...

If you found my subject heading to be confusing then I'm sure you'll enjoy the example I've included below. I find the apply type functions to be wonderful for avoiding loops but when I use them with existing functions, I end up using loops anyway to extract the vectors I want. I would appreciate it if someone could show me how to avoid these loops. Thanks. EXAMPLE:

I think SANN method in optim() is failing to report that it has not converged. Here is an example genrose.f<- function(x, gs=NULL){ # objective function ## One generalization of the Rosenbrock banana valley function (n parameters) n <- length(x) if(is.null(gs)) { gs=100.0 } fval<-1.0 + sum (gs*(x[1:(n-1)]^2 - x[2:n])^2 + (x[2:n] - 1)^2) return(fval) }

There's a little source code (typo?) bug in "samba-2.0.4/source/lib/system.c" that hurts compilation at least on HPUX 9.0x (with HP's cc, not gcc!) !! In HPUX's "/usr/include/sys/time.h": .. # ifndef _STRUCT_TIMEVAL # define _STRUCT_TIMEVAL /* Structure returned by gettimeofday(2) system call and others */ struct timeval { unsigned long tv_sec;

Hi everyone, i?m a new user of R and i?m trying to translate an linear optimization problem from Matlab into r. The matlab code is as follow: options = optimset('Diagnostics','on'); [x fval exitflag] = linprog(f,A,b,Aeq,beq,lb,ub,[],options); exitflag fval x=round(x); Where: f = Linear objective function vector (vector of 45,rows) A = Matrix for linear inequality

Dear R users, I came up with some simple functions to give me the standard betas and tolerance values from a predefined lm() model. I have been trying to insert the results from these functions into the coefficients matrix in a modified summary.lm function that I'm calling summary2 (I'd never edit the summary.lm function directly!!). I managed to get the results inserted into the

Hello all, I'm trying to create a heatmap using 2 matrices I have: z and v. Both matrices represent different correlations for the same independent variables. The problem I have is that I wish to have the values from matrix z to be represented by color intensity while having the values from matrix v to be represented by circle size. I currently have the following in front of me and an unsure

Hello! I'm working on a new back-end and have hit a bit of a snag. I'm working on getting selectcc working and have followed the MSP430 model of emitting a custom CMP and SELECT_CC node and matching that with a pseudo-instruction that has useCustomEmitter=1. However, my output ends up very wrong, despite the Machine code being initially correct: # Machine code for function func: Function

Hi All, I need to implement select_cc as a "cmp; mov rX,1; brcond cnd, END; mov rX,0; END:" sequence. Chris mentioned that the PPC code (as well as the x86 SSE code) does this, but I can't seem to find it. What I really need to kmow is how to insert the branch/label pair at instruction selection phase. Anyone have an example of this?