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...to the opaque type aren't being replaced with pointers to the actual type, which causes errors further down the line. For instance, if I had a type: %t = { %t*, ... } My pass would begin constructing a new type, say %t_1, and would replace all instances of %t with an opaque type, so... $t_0 = opaque %t_1 = { %t_0*, ... } At the end, it calls t_1->refineAbstracType(t_0, t_1) to replace instances of t_0 with t_1. But the resulting type I get is still %t_1 = { %t_0*, ... } Is this a bug, or is it supposed to work this way, and I need to do something else to accomplish what I'...

...ow and ran 'opt' on it as " opt -std-compile-opts test.ll -S -o -" . But the output shows that there is code motion around the barrier intrinsics. test.ll ------- ; ModuleID = 'test.bc' define void @test(i16* %I_0, i16* %I_1, i16* %I_2, i16* %I_3, i16* %O_0) { entry: %T_0 = load volatile i16* %I_0 %T_1 = load volatile i16* %I_1 %T_2 = load volatile i16* %I_2 %T_3 = load volatile i16* %I_3 call void @llvm.nvvm.barrier0() %T_5 = add i16 %T_1, %T_3 call void @llvm.nvvm.barrier0() %T_7 = mul i16 %T_0, %T_2 %T_8 = xor i16 %T_2, %T_0 %T_9 = mul i16 %T_0,...

Hi, I have a function that I need to do double integration: \int^T_0 \int^t_0 N(\delta / \sigma \sqrt(u)) (1-N(\delta / \sigma \sqrt(u))) du dt where N(x) is a standard normal probability of x. I start off by writing an inner integral into a function. Meaning \int^t_0 N(\delta,\sigma \sqrt(u)) (1-N(\delta,\sigma \sqrt(u))) du. Then calling integrate function on th...

is there any guarantee that the nvptx intrinsic "llvm.nvvm.barrier0" will not be moved around by opt ? In other words, can I expect all the instructions above "llvm.nvvm.barrier0" to remain above it and those below it to remain below, after all the opt passes are run ? If that is not the case, is there a way to define such an intrinsic ? Thanks. -------------- next part

Hi, I noted a discrepancy between R and openepi when I ran a fisher test with the same matrix. In R: > a=matrix(c(1,2,6,17), nrow=2) > a [,1] [,2] [1,] 1 6 [2,] 2 17 > fisher.test(a, conf.int=T) Fisher's Exact Test for Count Data data: a p-value = 1 alternative hypothesis: true odds ratio is not equal to 1 95 percent confidence interval: 0.02061498

Hi all, I am using GAM to model time trends in a logistic regression. Yet I would like to extract the the fitted spline from it to add it to another model, that cannot be fitted in GAM or GAMM. Thus I have 2 questions: 1) How can I fit a smoother over time so that I force one knot to be at a particular location while letting the model to find the other knots? 2) how can I extract the matrix

I'm trying to use the rsync algorithm for incremental backups. After a quick look at rsync I saw the batch mode operations, and I thought that maybe I can modify them for incremental backups. What is needed is to add an option to save the checksums of all the files of the level 0 backup and a second option to use the level n checksum to calculate the delta batch files for the level n+1

...._ADR..._U 5340: 50 43 12 07 04 00 0a ff 00 00 5b 82 47 09 50 52 PC........[.G.PR 5350: 31 34 08 5f 41 44 52 0a 04 08 5f 55 50 43 12 08 14._ADR..._UPC.. 5360: 04 0a ff 0a ff 00 00 06 53 42 56 31 53 44 47 56 ........SBV1SDGV 5370: 14 42 07 5f 44 53 4d 0c 08 5f 54 5f 30 00 a0 42 .B._DSM.._T_0..B 5380: 06 93 68 11 13 0a 10 8f 70 fc a5 75 87 a6 4b bd ..h.....p..u..K. 5390: 0c ba 90 a1 ec 72 f8 70 99 6a 00 5f 54 5f 30 a0 .....r.p.j._T_0. 53a0: 18 93 5f 54 5f 30 00 a0 09 93 69 01 a4 11 03 01 .._T_0....i..... 53b0: 07 a1 06 a4 11 03 01 00 a1 28 a0 16 93 5f 54 5f .........(..._T_...