search for: x18

Hi, When using Wine to run Windows ARM64 executables on Linux, there's one major ABI incompatibility between the two; Windows treats the x18 register as the reserved platform register, while it is free to be clobbered anywhere in code on Linux. The Wine code sets up this register before passing control over to the Windows executable code, but whenever the Windows code calls a function implemented in Wine, this register ends up clob...

...both wine-devel and llvm-dev, to try to keep the discussion open for both sides, to try to find a workable compromise. This was preliminarily discussed on llvm-dev already a few weeks ago. One of the major unresolved issues with Wine for AArch64 is how to handle the platform specific register x18. (https://bugs.winehq.org/show_bug.cgi?id=38780) As Windows on AArch64 is commercially available for over a year now, it'd be nice to get this issue settled by at least some sort of compromise. Background: On AArch64, x18 is a platform specific register; some platforms treat it as reserve...

...t(B12*(X12*x1+X22*x2)^2+C12)A13*(X13*x1+X23*x2)+-1*sqrt(B13*(X13*x1+X23*x2)^2+C13)A14*(X14*x1+X24*x2)+-1*sqrt(B14*(X14*x1+X24*x2)^2+C14)A15*(X15*x1+X25*x2)+1*sqrt(B15*(X15*x1+X25*x2)^2+C15)A16*(X16*x1+X26*x2)+1*sqrt(B16*(X16*x1+X26*x2)^2+C16)A17*(X17*x1+X27*x2)+1*sqrt(B17*(X17*x1+X27*x2)^2+C17)A18*(X18*x1+X28*x2)+1*sqrt(B18*(X18*x1+X28*x2)^2+C18)A19*(X19*x1+X29*x2)+-1*sqrt(B19*(X19*x1+X29*x2)^2+C19)A110*(X110*x1+X210*x2)+1*sqrt(B110*(X110*x1+X210*x2)^2+C110)" > cum2 [1] "A21*(X11*x1+X21*x2)+1*sqrt(B21*(X11*x1+X21*x2)^2+C21)A22*(X12*x1+X22*x2)+1*sqrt(B22*(X12*x1+X22*x2)^2+C22)A23*(X...

Hi, How can I reserve an ARM register for only a part of the code? Example: lets say I have 3 functions, A(), B() and C(). I want to prohibit compiler from using a register (lets say X9 in ARM 64) in function C() only. I think that by AArch64RegisterInfo::getReservedRegs function, a register can be reserved for the whole program. But, I need to reserve for only part of the code. Can I

Hi All, I'm attempting to use eps-regression or nu-regression SVM to compute probabilities but the predict function applied to an svm model object returns values outside [0, 1]: Variable Data looks like: Present X02 X03 X05 X06 X07 X13 X14 X15 X18 1 0 1634 48 2245.469 -1122.0750 3367.544 11105.013 2017.306 40 23227 2 0 1402 40 2611.519 -811.2500 3422.769 10499.425 1800.475 40 13822 3 0 1379 40 2576.150 -842.8500 3419.000 10166.237 2328.756 37 14200 4 0 1869 51 2645.794 -982.2938 3628.088 9610.037 1699.656 43 20762 ... and bgEnv looks simila...

...sition, but the remaining columns X1-Xn should be ordered like this: X1, X2, X3 etc instead of like below. > colnames(pos1) [1] "X" "X1" "X10" "X11" "X12" "X13" "X14" "X15" "X16" "X17" "X18" "X19" "X2" "X20" "X3" "X4" "X5" "X6" "X7" "X8" "X9" > pos1[1:5,1:5] X X1 X10 X11 X12 1 100.5 7949.469 18509.064 8484.969 17401.056 2 101.5 3080.058...

...and X10 for one of my research projects. I have >> some questions regarding this and greatly appreciate any help you can >> provide (I am a newbee when it comes to hacking compilers). > >> 1. Is it possible to reserve X9 and X10 by the same methodology used >> to reserve X18 in LLVM? > > It should be (x9 and x10 are very similar to x18, with no other > special purposes in the ABI), but you'll have to implement it > yourself. Searching for all uses of X18 in lib/Target/AArch64 and > adding your own code for the others would be a good place to get >...

...ta probability-value of the F-test, respectively p-value, shown in the summary of a linear model? somehow i can not retrieve this data out of R+ into my sql-dataset. i can get all other data shown with the command: summary(speciallinearmodel) - will have a gui screen Call: lm(formula = y21 ~ x4 + x18 + x4:x18, data = clustertransformationstabelle) Residuals: Min 1Q Median 3Q Max -0.20915 -0.07354 -0.01823 0.04414 0.45191 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.003613 0.043142 -0.084 0.933450 x4 0.142373 0.113036 1.260...

...), X15 = c(292.176361083984, 294.49658203125, 293.888305664062, 294.172149658203, 296.117095947266), X16 = c(288.400726318359, 291.029113769531, 289.361907958984, 290.566772460938, 293.554016113281 ), X17 = c(285.665222167969, 288.293029785156, 286.118957519531, 288.105285644531, 291.429382324219), X18 = c(285.971252441406, 288.3798828125, 286.444580078125, 288.495880126953, 291.447326660156 ), X19 = c(288.79296875, 290.357543945312, 289.657928466797, 291.449066162109, 293.095275878906), X20 = c(291.999877929688, 292.838348388672, 293.840362548828, 294.412322998047, 294.941253662109 ), X21 = c(29...

...st, respectively p-value, shown in the summary of a > linear model? somehow i can not retrieve this data out of R+ > into my sql-dataset. i can get all other data shown with the command: > summary(speciallinearmodel) - will have a gui screen > > Call: > lm(formula = y21 ~ x4 + x18 + x4:x18, data = > clustertransformationstabelle) > Residuals: > Min 1Q Median 3Q Max > -0.20915 -0.07354 -0.01823 0.04414 0.45191 > Coefficients: > Estimate Std. Error t value Pr(>|t|) > (Intercept) -0.003613 0.043142 -0.084 0.933450 >...

The marilith boxes use a conserver (http://www.conserver.com/) setup for serial access. Our installation exports the logs via http allowing us to grab them with wget. Sending debug keys with is handled separately via xenuse. xenuse ultimately speaks to the conserver too but it abstracts away the IP and port to use so this is preferred. With these changes the correct Serial hostprop for a

...g.cpp) is merging common code from BB#14 and BB#15 into BB#16. It's clear that there are 4 common instructions (marked with an *) in BB#14 and BB#15: -------------------------------------------------------------------------------- BB#14: derived from LLVM BB %if.end.1 Live Ins: %X16 %X17 %X18 %X7 %X0 %X6 %X4 %W8 %X15 %X14 %W3 %W2 %X1 %X10 %X11 %X12 %X13 %X9 Predecessors according to CFG: BB#12 %X5<def> = ADDXrr %X16, %X13 * %W19<def> = LDRBBui %X5, 1; mem:LD1[%scevgep95](tbaa=<0x6e02518>) * %W3<def> = MADDWrrr %W2<kill>, %W3<kill&...

...allee saves you mentioned. There probably are more like this. Thanks for pointing that out. We will investigate and extend our design. > > Why did you decide to use global metadata here? For AArch64, we use a target feature instead, to implement roughly equivalent functionality (the reserve-x18 feature, to implement -ffixed-x18). > Making a global register declaration have side-effects never made sense, IMO; on the surface, it's using variable declaration syntax, but in reality it's actually changing the ABI rules for the whole file. > I would prefer to support -ffixed-r4, a...

...3125, 293.888305664062, > > 294.172149658203, 296.117095947266), X16 = c(288.400726318359, > > 291.029113769531, 289.361907958984, 290.566772460938, 293.554016113281 > > ), X17 = c(285.665222167969, 288.293029785156, 286.118957519531, > > 288.105285644531, 291.429382324219), X18 = c(285.971252441406, > > 288.3798828125, 286.444580078125, 288.495880126953, 291.447326660156 > > ), X19 = c(288.79296875, 290.357543945312, 289.657928466797, > > 291.449066162109, 293.095275878906), X20 = c(291.999877929688, > > 292.838348388672, 293.840362548828, 294.4123...

Hi.. i have an expression of the form: model1<-nls(y~beta1*(x1+(k1*x2)+(k1*k1*x3)+(k2*x4)+(k2*k1*x5)+(k2*k2*x6)+(k3*x7)+(k3*k4*x8)+(k3*k2*x9)+(k3*k3*x10)+ (k4*x11)+(k4*k1*x12)+(k4*k2*x13)+(k4*k3*x14)+(k4*k4*x15)+(k5*x16)+(k5*k1*x17)+(k5*k2*x18)+(k5*k3*x19)+ (k5*k4*x20)+(k5*k5*x21)+(k6*x22)+(k6*k1*x23)+(k6*k2*x24)+(k6*k3*x25)+(k6*k4*x26)+(k6*k5*x27)+(k6*k6*x28)+ (k7*x29)+(k7*k1*x30)+(k7*k2*x31)+(k7*k3*x32)+(k7*k4*x33)+(k7*k5*x34)+(k7*k6*x35)+(k7*k7*x36)),x, start=c(beta1=-0.001480981,k1=0.001,k2=0.001,k...

Hi all, I'm trying to do model reduction for logistic regression. I have 13 predictor (4 continuous variables and 9 binary variables). Using subject matter knowledge, I selected 4 important variables. Regarding the rest 9 variables, I tried to perform data reduction by principal component analysis (PCA). However, 8 of 9 variables were binary and only one continuous. I transformed the data by

...1083984, 294.49658203125, 293.888305664062, > 294.172149658203, 296.117095947266), X16 = c(288.400726318359, > 291.029113769531, 289.361907958984, 290.566772460938, 293.554016113281 > ), X17 = c(285.665222167969, 288.293029785156, 286.118957519531, > 288.105285644531, 291.429382324219), X18 = c(285.971252441406, > 288.3798828125, 286.444580078125, 288.495880126953, 291.447326660156 > ), X19 = c(288.79296875, 290.357543945312, 289.657928466797, > 291.449066162109, 293.095275878906), X20 = c(291.999877929688, > 292.838348388672, 293.840362548828, 294.412322998047, 294.941253...

...0061 IX49 1994 9412 94020062 IX48 1994 9412 94020063 X32 1994 9412 94020065 X23 1994 9412 94020066 X27 1994 9412 94020067 XI19 1994 9412 94020068 XI16 1994 9412 94020069 XI14 1994 9412 94020070 XI8 1994 9412 94020071 X25 1994 9412 94020072 X18 1994 9412 94020073 II23 1994 9412 94020074 XII33 1994 9412 94020075 XII31 "my.function"("frame") should be then equal to Year TURNR STODNR M_PUNTAR 1994 9412 94020061 IX49 1994 9412 94020062 IX48 Thank you in advance Luis Ridao Cruz Fiskiranns??kna...

...8203, 296.117095947266 <(709)%20594-7266>), X16 = >> c(288.400726318359, >> > 291.029113769531, 289.361907958984, 290.566772460938, 293.554016113281 >> > ), X17 = c(285.665222167969, 288.293029785156, 286.118957519531, >> > 288.105285644531, 291.429382324219), X18 = c(285.971252441406, >> > 288.3798828125, 286.444580078125, 288.495880126953, 291.447326660156 >> > ), X19 = c(288.79296875, 290.357543945312, 289.657928466797, >> > 291.449066162109, 293.095275878906), X20 = c(291.999877929688, >> > 292.838348388672, 293.840362...

How about: x <- data.frame(matrix(rnorm(1550),c(50,31))) model <- step(lm(x[,1] ~ as.matrix(x[,2:31]))) --Matt -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of rongguiwong Sent: Monday, September 20, 2004 20:52 PM To: r-help at stat.math.ethz.ch Subject: [R] how to take this experiment with R? This message uses