Displaying 20 results from an estimated 129 matches for "unfolds".
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2006 Dec 15
1
[PATCH] cube unfold distance
I have gone ahead and implemented the unfold distance option
as mentioned in the source.
the patch is here
http://home.comcast.net/~moppsy/compiz/cube-unfold-distance.patch
2015 Jun 07
2
[LLVMdev] Loop Unfolding in LLVM
Hello,
I am looking for a loop unfolding procedure implemented in LLVM that helps
to transform a while-loop to n-layer If-statements. The transformation
should be on IR, although the example below is illustrated on the source
level.
original loop:
* WHILE (condition) DO
action
ENDWHILE*
Expected unfolded loop (2-layer):
* IF (condition) THEN*
* action*
* IF
2011 Aug 02
0
[LLVMdev] clang: Manual unfolding doesn't match automatic unfolding
Here's the code and compilation steps:
#include <stdint.h>
typedef unsigned int uint128_t __attribute__((mode(TI)));
typedef struct{
uint64_t l[5];
} s;
void f(s * restrict r, const s * restrict x, const s * restrict y) {
uint128_t t[5] = {0, 0, 0, 0, 0};
#define BODY(i,j) { int i_ = i < j ? i : j; int j_ = i < j ? j :
i; uint128_t m = (uint128_t) x->l[i_] *
2011 Jun 28
0
Function unfold package RcmdrPlugin.survival
Dear all,
I am using the function ?unfold? from the ?RcmdrPlugin.survival? to convert
my time-varying covariates dataset from wide to long. I managed to have it
working for my data.
However, the problem I have is that the observations after an event, won?t
be dropped from the dataset. For example, see the dataframe below: the event
occurs at 1.2 (event.time=1), but the 1.3 to 1.6 will remain in
2010 Dec 05
0
Help with time varying covariate-unfold function
Hello All,
I am trying to use the unfold function in RcmdrPlugin.survival library,
which converts the survival data with time varying covariates to the
counting process notation. The problem is somehow, the event indicator
created is not correct.
Below is the data, I am trying to convert:
CASE TRT FAILTIME FAILCENS SEX AGE IGG0 IGG28 IGG42 IGG84 IGG364
26003 A 11.2033
2016 Jul 21
2
Remove zext-unfolding from InstCombine
Hi all,
I have a question regarding a transformation that is carried out in InstCombine, which has been introduced by r48715. It unfolds expressions of the form `zext(or(icmp, (icmp)))` to `or(zext(icmp), zext(icmp)))` to expose pairs of `zext(icmp)`. In a subsequent iteration these `zext(icmp)` pairs could then (possibly) be optimized by another optimization (which has already been there before r48715), to replace them by bitwise o...
2005 Oct 03
1
ML optimization question--unidimensional unfolding scaling
I'm trying to put together an R routine to conduct unidimensional unfolding
scaling analysis using maximum likelihood. My problem is that ML
optimization will get stuck at latent scale points that are far from
optimal. The point optimizes on one of the observed variables but not
others and for ML to move away from this 'local optimum', it has to move in
a direction in which the
2016 Jul 27
2
Remove zext-unfolding from InstCombine
...an earlier fold are wrong IMO.
>
>
> On Thu, Jul 21, 2016 at 6:07 AM, Matthias Reisinger via llvm-dev <llvm-dev at lists.llvm.org> wrote:
> Hi all,
>
> I have a question regarding a transformation that is carried out in InstCombine, which has been introduced by r48715. It unfolds expressions of the form `zext(or(icmp, (icmp)))` to `or(zext(icmp), zext(icmp)))` to expose pairs of `zext(icmp)`. In a subsequent iteration these `zext(icmp)` pairs could then (possibly) be optimized by another optimization (which has already been there before r48715), to replace them by bitwise o...
2019 Feb 08
2
Unfolded additions of constants after promotion of @llvm.ctlz.i16 on SystemZ
Hi,
SystemZ supports @llvm.ctlz.i64() natively with a single instruction
(FLOGR), and lesser bitwidth versions of the intrinsic are promoted to i64.
For some reason, this leads to unfolded additions of constants as shown
below:
This function:
define i16 @fun(i16 %arg) {
%1 = tail call i16 @llvm.ctlz.i16(i16 %arg, i1 false)
ret i16 %1
}
,gives this optimized DAG as input to instruction
2011 Oct 23
1
unfold list (variable number of columns) into a data frame
Hello,
I used R a lot one year ago and now I am a bit rusty :)
I have my raw data which correspond to the list of runtimes per minute (minute "1" "2" "3" in two database modes "sharding" and "query" and two workload types "query" and "refresh") and as a list of char arrays that looks like this:
> str(data)
List of 122
$ :
2010 Jun 08
2
[LLVMdev] Always unfold memory operand
Hi,
I am attempting to modify LLVM to generate code for an architecture which is
nearly identical to X86-64, but with a few minor differences.
In particular, "call" must always have a register operand, and cannot have a
memory operand. Any ideas on how I can express this rule?
Thanks,
- David
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2010 Jun 08
0
[LLVMdev] Always unfold memory operand
On Tue, Jun 8, 2010 at 2:05 PM, David Meyer <pdox at google.com> wrote:
> Hi,
> I am attempting to modify LLVM to generate code for an architecture which is
> nearly identical to X86-64, but with a few minor differences.
> In particular, "call" must always have a register operand, and cannot have a
> memory operand. Any ideas on how I can express this rule?
Just get
2016 Aug 04
2
Remove zext-unfolding from InstCombine
...MO.
> >
> >
> > On Thu, Jul 21, 2016 at 6:07 AM, Matthias Reisinger via llvm-dev <llvm-dev at lists.llvm.org> wrote:
> > Hi all,
> >
> > I have a question regarding a transformation that is carried out in InstCombine, which has been introduced by r48715. It unfolds expressions of the form `zext(or(icmp, (icmp)))` to `or(zext(icmp), zext(icmp)))` to expose pairs of `zext(icmp)`. In a subsequent iteration these `zext(icmp)` pairs could then (possibly) be optimized by another optimization (which has already been there before r48715), to replace them by bitwise o...
2006 Oct 09
1
[PATCH] dbus terminate action
I was always annoyed that you couldn't terminate an action with dbus so
I have
written this patch which fixes that. Hopefully this can be included.
I wrote the patch trying to repeat as little code as possible so I just
added a boolean
parameter to the dbusHandleActivateMessage and changed the name to
dbusHandleActivateDeactivateMessage. You could probably change the
deactivate
parameter
2010 Jun 09
0
[LLVMdev] Always unfold memory operand
On Tue, Jun 8, 2010 at 4:20 PM, David Meyer <pdox at google.com> wrote:
> Hi Eli,
> I have tried this, but the resulting tool-chain was broken.
> There are only two references to "CALL64m": the definition in
> X86Instr64bit.td, and an entry in X86InstrInfo.cpp.
> After commenting both out, compilation of a large application fails with:
> llc: ScheduleDAG.cpp:462:
2005 Nov 03
1
ML optimization question--unidimensional unfolding scalin g
Alternatively, just type debug(optim) before using it, then step through it
by hitting enter repeatedly...
When you're done, do undebug(optim).
Andy
> From: Spencer Graves
>
> Have you looked at the code for "optim"? If you
> execute "optim", it
> will list the code. You can copy that into a script file and walk
> through it line by line to
2010 Jun 09
1
[LLVMdev] Always unfold memory operand
After removing CALL64m, the resulting DAG has a cycle that cannot be
scheduled.
I've attached a PDF of the DAG before instruction selection
(-view-isel-dags), and after instruction select (-view-sched-dags).
Notice how the flag/chain relationships between MOV64rm and CALL64r make it
impossible to schedule.
Here's the code being compiled:
define ccc void @ArgsFree() nounwind {
entry:
2010 Jun 08
2
[LLVMdev] Always unfold memory operand
Hi Eli,
I have tried this, but the resulting tool-chain was broken.
There are only two references to "CALL64m": the definition in
X86Instr64bit.td, and an entry in X86InstrInfo.cpp.
After commenting both out, compilation of a large application fails with:
llc: ScheduleDAG.cpp:462: void
llvm::ScheduleDAGTopologicalSort::InitDAGTopologicalSorting(): Assertion
`Node2Index[SU->NodeNum]
2017 Apr 10
2
LSR
Hi,
I find that LSR is not helping enough on avoiding unfoldable offsets for
SystemZ. When the loop has three stores with unfoldable offsets, LSR
rewrites the IV in a good way. However, if adding another store with a
foldable offset that fits already, LSR fails to rewrite the three stores.
And if I happen to add a too big *positive* offset (the first three were
negative) instead of a
2013 Feb 14
3
list of matrices --> array
i'm somehow embarrassed to even ask this, but is there any built-in
method for doing this:
my_list <- list()
my_list[[1]] <- matrix(1:20, ncol = 5)
my_list[[2]] <- matrix(20:1, ncol = 5)
now, knowing that these matrices are identical in dimension, i'd like
to unfold the list to a 2x4x5 (or some other permutation of the dim
sizes) array.
i know i can initialize the array, then