Displaying 4 results from an estimated 4 matches for "myreg1".
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2012 Dec 02
3
[LLVMdev] GetElementPtrInst question
Hi all,
How can I create an llvm::GetElementPtrInst in which the pointer and
the index are in registers previously loaded with llvm::LoadInst ? I
mean, the generated instruction will be like this:
%1 = getelementptr i8* %myreg1, i32 %myreg2
here, %myreg1 and %myreg2 are previously created by load instructions
(llvm::LoadInst).
Please, let me know if there is an example of something similar.
Thanks for the help,
Eduardo
2012 Dec 02
0
[LLVMdev] GetElementPtrInst question
Hi,
You'd use an IRBuilder, like you did to create your LoadInsts.
IRBuilder<> IRB(BB);
IRB.CreateGEP(myreg1, myreg2);
I assume because you asked this question, something went wrong when using the above method. What was it? :)
Cheers,
James
________________________________________
From: llvmdev-bounces at cs.uiuc.edu [llvmdev-bounces at cs.uiuc.edu] On Behalf Of Eduardo [erocha.ssa at gmail.com]
Sent:...
2012 Dec 02
1
[LLVMdev] GetElementPtrInst question
...something went wrong when using the above method. What was it? :)
No, I am not using this method. I was trying to create a
llvm::GetElementPtrInst . I didn't create IRBuilder. I am writing a
ModulePass that insert new instruction to an existing Module.
Besides, how can you get a reference to myreg1 ? Looking at your
snippet this variable would be a llvm::Value* (I saw that in the
documentation of IRBuilder). All I have in my code is something like:
llvm::LoadInst *inst2 = new llvm::LoadInst( oneGlobalVariable,
"myreg1", inst1);
Probably I can get a Value pointer to the output re...
2004 Sep 23
0
followup: Re: Issue with predict() for glm models
...e based on linear regression, just for clarity. I have
followed the procedure described below to create predictions and now
want to plot the predicted values "on top" of a small section of the x-y
scatterplot.
x <- rnorm(100, 10, 10)
e <- rnorm(100, 0, 5)
y <- 5 + 10 *x + e
myReg1 <- lm (y~x)
plot(x,y)
newX <- seq(1,10,1)
myPred <- predict(myReg1,data.frame(x=newX))
Now, if I do this, I get 2 graphs "overlaid" but their axes do not "line
up".
par(new=T)
plot(newX,myPred$fit)
The problem is that the second one uses the "whole width"...