similar to: ordered factor and unordered factor

Hi All, I noticed LLVM target independent side is converting an ordered less than "setolt" into unordered greater than "setuge" operation. There are no target hooks to control going from the ordered mode into unordered. I am trying to figure out the best way to support unordered operation on Hexagon. We don't have a single instruction to do unordered operation. So we

I'm trying to change an unordered factor into an ordered factor: data96$RV961327 <- data96$V961327 data96$RV961327[data96$V961327 %in% levels(data96$V961327)[4]] <- NA data96$RV961327[data96$V961327 %in% levels(data96$V961327)[5]] <- NA data96$RV961327 <- factor(data96$RV961327) attributes(data96$RV961327) levels(data96$RV961327) data96$RV961327 data96$RRV961327 <-

On 29 August 2013 10:12, Demikhovsky, Elena <elena.demikhovsky at intel.com> wrote: > But this is another case. LLVM IR distinguishes between ordered and unordered compare and X86 backend has appropriate instructions. I think LLVM uses ordered/unordered compare to mean something different to what the x86 instructions do. For example, "not equal": fcmp une == unordered not

On Tue, Jul 9, 2013 at 3:00 PM, <sundeepk at codeaurora.org> wrote: > Hi All, > > I noticed LLVM target independent side is converting an ordered less than > "setolt" into unordered greater than "setuge" operation. There are no > target hooks to control going from the ordered mode into unordered. > > I am trying to figure out the best way to support

But this is another case. LLVM IR distinguishes between ordered and unordered compare and X86 backend has appropriate instructions. But during DAG selection we just lose this information and always generate unordered fcmp. I.e. in case of ordered fcmp the vcomiss should be generated, and in case of unordered - vucomiss. - Elena -----Original Message----- From: Dr D. Chisnall [mailto:dc552 at

> The function ISD::getSetCCInverse() would probably be useful for you > here: you can use it to transform an unordered operation into an > ordered operation. Thanks for your reply Eli. I will check how to convert unordered operations back to ordered one. I have another related question - is it possible for frontend (clang) to generate unordered operation from the source code? -Sundeep

[I hope all of you had some good holidays/vacation!] My current flabbergaster: ## a dummy factor > size<- rep( c('short', 'long'), 10 ) ## take a subset: > subset( size, size!='short') [1] "long" "long" "long" "long" "long" "long" "long" "long" "long" "long" ##

On 29 Aug 2013, at 08:19, Tim Northover <t.p.northover at gmail.com> wrote: > If so, a compare that used that instruction would have to become more > like an "invoke" with a landingpad for the exception and so on, > wouldn't it? The current fcmp can already distinguish between ordered > and unordered, because ucomiss provides that information. There are currently

Should I open a ticket for this? - Elena From: Eli Friedman [mailto:eli.friedman at gmail.com] Sent: Wednesday, August 28, 2013 19:51 To: Demikhovsky, Elena Cc: llvmdev at cs.uiuc.edu Subject: Re: [LLVMdev] Ordered / Unordered FP compare are not handled properly on X86 On Wed, Aug 28, 2013 at 2:16 AM, Demikhovsky, Elena <elena.demikhovsky at intel.com<mailto:elena.demikhovsky at

I found that there is no diff in code generator for Ordered / Unordered FP compare instructions. FUCOMISS, FUCOMISD are generated in the both cases. - Elena --------------------------------------------------------------------- Intel Israel (74) Limited This e-mail and any attachments may contain confidential material for the sole use of the intended recipient(s). Any review or

On Wed, Aug 28, 2013 at 2:16 AM, Demikhovsky, Elena < elena.demikhovsky at intel.com> wrote: > I found that there is no diff in code generator for Ordered / Unordered > FP compare instructions. > FUCOMISS, FUCOMISD are generated in the both cases. > > > Yes. That's how fcmp is defined in LangRef. -Eli -------------- next part -------------- An HTML attachment was

Hello; I am having a problems with the interpretation of models using ordered or unordered predictors. I am running models in lmer but I will try to give a simplified example data set using lm. Both in the example and in my real data set I use a predictor variable referring to 3 consecutive days of an experiment. It is a factor, and I thought it would be more correct to consider it ordered. Below

On 29 August 2013 06:31, Demikhovsky, Elena <elena.demikhovsky at intel.com> wrote: > Should I open a ticket for this? I think he was saying this is intended behaviour. Isn't the difference between ucomiss and comiss just whether an exception is raised for NaN? If so, a compare that used that instruction would have to become more like an "invoke" with a landingpad for the

I have data that comes into R already ordered. When I use ggplot, it orders them which I don't want. How do I fix this without changing options("contrast")? The data I have is number of days: 30 29 ... 20 19 ... 10 9 ... 1 When I plot with ggplot, it orders them by the first number only. So 3 ends up coming before 29. -- View this message in context:

Given an ordered factor, how does one unorder it? I tried various commands with reorder, with order=F, but they all gave me error messages. I also tried to drop the order with various 'as dot something' commands, but these didn't work either. -- View this message in context: http://n4.nabble.com/unorder-an-ordered-factor-tp2014745p2014745.html Sent from the R help mailing list archive

Hi All, I am reading about LLVM IR atomics (http://llvm.org/docs/Atomics.html) and get confused about the difference between "Unordered" and "Monotonic". In particular, I am not sure I understand the statement of "It essentially guarantees that if you take all the operations affecting a specific address, a consistent ordering exists.". For me, it means that for the

Hello, I have the contour of the shoreline of a lake. I have measured data points away from the lake shore signifying a particular depth. The data is not ordered as a polygon and hence trying to draw it creates a series of lines all over the place. I would like to turn the points into a ordered set that results in a smooth polygon. I have tried a "nearest point" approach. An example

I am attempted to examine the temporal independence of my data set and think I need an unordered multinomial logistic regression (or logit model) with repeated measures to do so. The data in question is location of chickens. Chickens could be in any one of 5 locations when a snapshot sample was taken. The locations of chickens (bird) in 8 pens (pen) were scored twice a day (AMPM) for 20 days

Hi, How to order the levels os factor not by alphabetic order but by mean of Y. Somethink like this: I have this alphabetic order: > levels(pH) [1] "alto" "baixo" "medio" the order by mean os yvar is: > sort(tapply(Riqueza,pH,mean)) baixo medio alto 11.56667 20.00000 26.80000 How to make the levels of pH ordered by this mean to the result to

Hi, I am trying to generate all unordered combinations of a set of numbers / characters, and I can only find a (very) clumsy way of doing this using expand.grid. For example, all unordered combinations of the numbers 0, 1, 2 are: 0, 0, 0 0, 0, 1 0, 0, 2 0, 1, 1 0, 1, 2 0, 2, 2 1, 1, 1 1, 1, 2 1, 2, 2 2, 2, 2 (I have not included, for example, 1, 0, 0, since it is equivalent to 0, 0, 1). I have