search for: numcycles

...wing. Thank you so much, Maura ################################################################## WavMaxNumCoef <- 30 setwd("C:/Documents and Settings/Monville/SpAn-Tests/16440-Raw-Dir") xx <- read.table("Interp-Amp-PhasePlus16440.txt",header=TRUE, sep=" ") NumCycles <- max(xx[,"cycle"]) TickPos <- vector(length=NumCycles) TickCoord <- vector(length=NumCycles) for(i in 1:NumCycles) { TickPos[i] <- xx[min(which(xx[,"cycle"] == i)),1] } aa <- read.table( "16440-Alpha.txt" ) xaa <- seq(1:length(t(aa))) v...

...e the fortran code ;-) !", "Ifail=4, minpts > maxpts; should not happen!", "Ifail=5, internal non-convergence; should not happen!", ) When it finishes: Warning messages: 1: Ifail=2, lenwrk was too small. -- fix adapt() ! Check the returned relerr! in: adapt(ndim = 1 + numcycles, lower = rep(lowlim.int, (numcycles + 2: NA/Inf replaced by maximum positive value Some people already asked similar questions but couldn't find the answer. Thanks in advance Luz PS: When using the function adapt only (not within nlm) it gives no warnings.

...n); >> dbgs() << "OOPS " << 1.15 << "\n"; >> return flag; >> } >> >> This method invokes the backend method >> >> bool ADRESInstrInfo::isProfitableToIfCvt(MachineBasicBlock &MBB, unsigned NumCycles, unsigned ExtraPredCycles, >> const BranchProbability &Probability) const { >> dbgs() << "OOPS " << 1.16 << "\n"; >> } >> >> This invocation works as it should (verified with gdb)....

...() << "OOPS " << 1.15 << "\n"; > >> return flag; > >> } > >> > >> This method invokes the backend method > >> > >> bool ADRESInstrInfo::isProfitableToIfCvt(MachineBasicBlock &MBB, > unsigned NumCycles, unsigned ExtraPredCycles, > >> const BranchProbability > &Probability) const { > >> dbgs() << "OOPS " << 1.16 << "\n"; > >> } > >> > >> This invocation works as i...

..., Prediction); dbgs() << "OOPS " << 1.15 << "\n"; return flag; } This method invokes the backend method bool ADRESInstrInfo::isProfitableToIfCvt(MachineBasicBlock &MBB, unsigned NumCycles, unsigned ExtraPredCycles, const BranchProbability &Probability) const { dbgs() << "OOPS " << 1.16 << "\n"; } This invocation works as it should (verified with gdb). But when I execute this code fragment, I get...

...dbgs() << "OOPS " << 1.15 << "\n"; > >> return flag; > >> } > >> > >> This method invokes the backend method > >> > >> bool ADRESInstrInfo::isProfitableToIfCvt(MachineBasicBlock &MBB, unsigned NumCycles, unsigned ExtraPredCycles, > >> const BranchProbability &Probability) const { > >> dbgs() << "OOPS " << 1.16 << "\n"; > >> } > >> > >> This invocation works as it sho...

On Wed, Oct 31, 2012 at 09:13:43PM +0100, Bjorn De Sutter wrote: > Hi all, > > I am working on a CGRA backend (something like a 2D VLIW), and we also absolutely need predication. I extended the IfConversion pass to allow it to be executed multiple times and to predicate already predicated code. This is necessary to predicate code with nested conditional statements. At this point, we

Hi all, I am working on a CGRA backend (something like a 2D VLIW), and we also absolutely need predication. I extended the IfConversion pass to allow it to be executed multiple times and to predicate already predicated code. This is necessary to predicate code with nested conditional statements. At this point, we support or, and, and conditional predicates (see Scott Mahlke's papers on this

Hi All, I've been having a little trouble with creating a loop that will run a a series of t.tests for inspection, Below is the code i've tried, and some checks i've looked at. I've used the get(paste()) idea as i was told previously that the use of the eval should try and be avoided. I've run a single syntax to check that my systax is correct and works without any problems