search for: crd

Hi All, I built the binaries from the 3.1 final tag (http://llvm.org/svn/llvm-project/cfe/tags/RELEASE_31/final/ etc) as below: > ../llvm/configure --enable-targets=host-only --prefix=/local/mnt/workspace/ashoknn/crd/neo/llvmsvn/build/bin > make install I notice that I can compile a program using clang as below: > ashoknn at ashoknn-vm:/local/mnt/workspace/ashoknn/crd/neo/temp/jit$clang test.c > ashoknn at ashoknn-vm:/local/mnt/workspace/ashoknn/crd/neo/temp/jit$ If I try to generate the bitcode...

.../2012 2:47 PM, Ashok Nalkund wrote: >> Hi All, >> I built the binaries from the 3.1 final tag >> (http://llvm.org/svn/llvm-project/cfe/tags/RELEASE_31/final/ etc) as below: >> >>> ../llvm/configure --enable-targets=host-only --prefix=/local/mnt/workspace/ashoknn/crd/neo/llvmsvn/build/bin >>> make install >> >> I notice that I can compile a program using clang as below: >> >>> ashoknn at ashoknn-vm:/local/mnt/workspace/ashoknn/crd/neo/temp/jit$clang test.c >>> ashoknn at ashoknn-vm:/local/mnt/workspace/ashoknn/cr...

...lease help? On 5/16/2012 2:47 PM, Ashok Nalkund wrote: > Hi All, > I built the binaries from the 3.1 final tag > (http://llvm.org/svn/llvm-project/cfe/tags/RELEASE_31/final/ etc) as below: > >> ../llvm/configure --enable-targets=host-only --prefix=/local/mnt/workspace/ashoknn/crd/neo/llvmsvn/build/bin >> make install > > I notice that I can compile a program using clang as below: > >> ashoknn at ashoknn-vm:/local/mnt/workspace/ashoknn/crd/neo/temp/jit$clang test.c >> ashoknn at ashoknn-vm:/local/mnt/workspace/ashoknn/crd/neo/temp/jit$ > >...

...Nalkund wrote: >>> Hi All, >>> I built the binaries from the 3.1 final tag >>> (http://llvm.org/svn/llvm-project/cfe/tags/RELEASE_31/final/ etc) as below: >>> >>>> ../llvm/configure --enable-targets=host-only --prefix=/local/mnt/workspace/ashoknn/crd/neo/llvmsvn/build/bin >>>> make install >>> >>> I notice that I can compile a program using clang as below: >>> >>>> ashoknn at ashoknn-vm:/local/mnt/workspace/ashoknn/crd/neo/temp/jit$clang test.c >>>> ashoknn at ashoknn-vm:/local/m...

...// l3 - }; + // See NVC0LoweringPass::handleManualTXD for rationale. This function + // implements the same logic, but using SM50-friendly primitives. + static const uint8_t qOps[2] = + { QUADOP(MOV2, ADD, MOV2, ADD), QUADOP(MOV2, MOV2, ADD, ADD) }; Value *def[4][4]; - Value *crd[3]; + Value *crd[3], *arr, *shadow; Value *tmp; Instruction *tex, *add; - Value *zero = bld.loadImm(bld.getSSA(), 0); + Value *quad = bld.mkImm(SHFL_BOUND_QUAD); int l, c; const int dim = i->tex.target.getDim() + i->tex.target.isCube(); const int array = i->tex.ta...

...NVC0LoweringPass::handleManualTXD for rationale. This function > + // implements the same logic, but using SM50-friendly primitives. > + static const uint8_t qOps[2] = > + { QUADOP(MOV2, ADD, MOV2, ADD), QUADOP(MOV2, MOV2, ADD, ADD) }; > Value *def[4][4]; > - Value *crd[3]; > + Value *crd[3], *arr, *shadow; > Value *tmp; > Instruction *tex, *add; > - Value *zero = bld.loadImm(bld.getSSA(), 0); > + Value *quad = bld.mkImm(SHFL_BOUND_QUAD); > int l, c; > const int dim = i->tex.target.getDim() + i->tex.target.isCube();...

I would like to explore dendrogam plots interactively. For example, click on a node and return information about all of the children of that node. Is there a high level wrapper for locator() or click() that will return the nearest dendrogram node on a plot? If not, is there a way to obtain the [x,y] coordinates of all the nodes on a plot? Thanks, David David J. States, M.D., Ph.D. Professor

All: Though I am fairly new to R, I am trying to work my way through J Oksanen's "Incidence Function Model in R" and can't get past some error with my glm arguments. I'm getting through > attach(amphimedon_compressa) > plot(x.crd,y.crd,asp=1,xlab="Easting",ylab="Northing",pch=21,col=p+1,bg=5*p) > d<-dist(cbind(x.crd,y.crd)) > alpha<-1 > edis<-as.matrix(exp(-alpha*d)) > diag(edis)<-0 > edis<-sweep(edis,2,A,"*") > S<-rowSums(edis[,p>0]) > mod<-glm(p~of...

...is NOT executing the function 'names' and giving me the result of this, and have struggled and failed to use the 'eval' expression with alternative environments (which i don't understand ...) can anyone assist? cheers - bob -- Dr Bob Phillips MRC Research Training Fellow CRD University of York York YO10 5DD t: +44 (0)1904 321099 f: +44 (0)1904 321041 e: bob.phillips at york.ac.uk www.york.ac.uk/inst/crd www.crd.york.ac.uk/prospero CRD is part of the National Institute for Health Research and is a department of the University of York. EMAIL DISCLAIMER: http://www.y...

...;> LLVM ERROR: Inline asm not supported by this streamer because we don't have an asm parser for this target > > I add back the call to InitializeNativeTargetAsmParser() in lli.cpp, but compilation fails: Makes sense. >> make[4]: Leaving directory `/local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/build/tools/clang/tools/arcmt-test' >> /local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/build/tools/lli/Debug+Asserts/lli.o: In function `llvm::InitializeNativeTargetAsmParser()': >> /local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/llvm/inclu...

...get.isArray(); i->op = OP_TEX; // no need to clone dPdx/dPdy later @@ -722,7 +723,7 @@ NVC0LoweringPass::handleManualTXD(TexInstruction *i) for (l = 0; l < 4; ++l) { // mov coordinates from lane l to all lanes for (c = 0; c < dim; ++c) - bld.mkQuadop(0x00, crd[c], l, i->getSrc(c), zero); + bld.mkQuadop(0x00, crd[c], l, i->getSrc(c + array), zero); // add dPdx from lane l to lanes dx for (c = 0; c < dim; ++c) bld.mkQuadop(qOps[l][0], crd[c], l, i->dPdx[c].get(), crd[c]); @@ -732,7 +733,7 @@ NVC0LoweringPass::han...

Dear R users, how can I extrapolate values listed in the summary of an lm model but not directly available between object values such as the the standard errors of the calculated parameters? for example I got a model: mod <- lm(Crd ~ 1 + Week, data=data) and its summary: > summary(mod) Call: lm(formula = Crd ~ 1 + Week, data = data, model = TRUE, y = TRUE) Residuals: Min 1Q Median 3Q Max -4.299e-03 -1.653e-03 2.628e-05 1.291e-03 5.130e-03 Coefficients: Estimate Std....

...56975). I have a bitcode file that I'm trying to load/execute using lli as below but it reports an error about unresolved symbol: > LLVM ERROR: Program used external function '_ZNKSt3__16locale9use_facetERNS0_2idE' which could not be resolved! > lli: /local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/llvm/lib/Support/ThreadLocal.cpp:54: virtual llvm::sys::ThreadLocalImpl::~ThreadLocalImpl(): Assertion `errorcode == I've tried loading the following libs when running lli: > lli \ > -load=libQtCore.so.4 \ > -load=libpthread.so.0 \ > -load=libm.so.6 \ >...

...ine >>>>>> +def JEXE2 : FuncUnit; // Execution stage 2 for the J pipeline >>>>>> +def JWB : FuncUnit; // Write-back unit for the J pipeline >>>>>> +def AGEN : FuncUnit; // Address generation for the L pipeline >>>>>> +def CRD : FuncUnit; // D-cache access for the L pipeline >>>>>> +def LWB : FuncUnit; // Write-back unit for the L pipeline >>>>>> +def FEXE1 : FuncUnit; // Execution stage 1 for the F pipeline >>>>>> +def FEXE2 : FuncUnit; // Execution stage 2 f...

...indeed not support inline assembly), not the MCJIT. >>>>> >>>> >>>> Do I need to enable anything at configure, my configure looks like this: >>>>> ../llvm/configure --enable-libffi --enable-targets=host-only --prefix=/local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/build/bin >>>> >>>> I added the enable-libffi when trying to figure out resolving external libs. >>>> >>> >>> >>> No, selecting MCJIT vs. the old JIT is done in the EngineBuilder. If you're using lli, you can...

...li, but it gives the error: > LLVM ERROR: Inline asm not supported by this streamer because we don't have an asm parser for this target I add back the call to InitializeNativeTargetAsmParser() in lli.cpp, but compilation fails: > make[4]: Leaving directory `/local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/build/tools/clang/tools/arcmt-test' > /local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/build/tools/lli/Debug+Asserts/lli.o: In function `llvm::InitializeNativeTargetAsmParser()': > /local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/llvm/include/llvm/...

Hi, Using the trunk of svn. I'm trying to get inline-asm working on X86. So I added call to: > InitializeNativeTargetAsmParser() during initialization. However, this causes a linking error: > llvm[2]: Linking Debug+Asserts executable lli > /local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/build/tools/lli/Debug+Asserts/lli.o: In function `llvm::InitializeNativeTargetAsmParser()': > /local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/llvm/include/llvm/Support/TargetSelect.h:149: undefined reference to `LLVMInitializeX86AsmParser' > collect2: ld...

...),ncol=1) + for(i in 1:N) + { + j <- n + xx <- which(colSums(CM[j,])==1) + V <- names(xx) + V <- paste(V, collapse="+") + V <- paste("SBA~", V) + rd <- round(nrow(data)*(2/3)) + d <- sample(seq(1:nrow(data)),rd) + dat1 <- data[d,] + dat2 <- data[-d,] + crd <- cbind(dat1$Longitude,dat1$Latitude) + dist80 <- dnearneigh(crd,0,100,longlat=F) + dist80sw <- nb2listw(dist80, style="B") + fm <- errorsarlm(as.formula(V), data=dat1, listw=dist60sw) + pred <- predict(fm,dat2) + C[i,1] <- cor(dat2$SBA,pred) + out <- cbind(C) + } +...

...bitcode file that I'm > trying to load/execute using lli as below but it reports an error about > unresolved symbol: >> LLVM ERROR: Program used external function '_ZNKSt3__16locale9use_facetERNS0_2idE' which could not be resolved! >> lli: /local/mnt/workspace/ashoknn/crd/neo/llvm/proto/llvmsvn/llvm/lib/Support/ThreadLocal.cpp:54: virtual llvm::sys::ThreadLocalImpl::~ThreadLocalImpl(): Assertion `errorcode == > > I've tried loading the following libs when running lli: >> lli \ >> -load=libQtCore.so.4 \ >> -load=libpthread.so.0 \ >&...

...lt;- which(colSums(CM[j,])==1) V <- names(xx) V <- paste(V, collapse="+") V <- paste("SBA~", V) rd <- round(nrow(data)*(2/3)) d <- sample(seq(1:nrow(data)),rd) dat1 <- data[d,] dat2 <- data[-d,] crd <- cbind(dat1$Longitude,dat1$Latitude) dist60 <- dnearneigh(crd,0,60,longlat=F) dist60sw <- nb2listw(dist60, style="B") fm <- errorsarlm(as.formula(V), data=dat1, listw=dist60sw) pred <- predict(fm,dat2) C[i,1] <- cor(dat2$SBA,pred...