Displaying 5 results from an estimated 5 matches for "newbase".
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new_base
2016 Jan 14
0
[PATCH] nv50/ir: rebase indirect temp arrays to 0, so that we use less lmem space
...2..2085978 100644
--- a/src/gallium/drivers/nouveau/codegen/nv50_ir_from_tgsi.cpp
+++ b/src/gallium/drivers/nouveau/codegen/nv50_ir_from_tgsi.cpp
@@ -841,6 +841,11 @@ public:
std::set<Location> locals;
std::set<int> indirectTempArrays;
+ struct TempBase {
+ int oldBase, newBase;
+ };
+ std::map<int, TempBase> indirectTempBases;
+ std::map<int, std::pair<int, int> > tempArrayInfo;
std::vector<int> tempArrayId;
int clipVertexOutput;
@@ -949,9 +954,19 @@ bool Source::scanSource()
}
tgsi_parse_free(&parse);
- // TODO: Co...
2004 Aug 12
1
correlation structures in NLME
I am using the latest version of R on a Windows machine and get the
following error when I try to initialize a correlation structure with
the function corAR1 in NLME. This example is taken from the book of
Pinheiro and Bates, so it should work. What is going wrong?
> library(nlme)
> data(Orthodont)
> cs1AR1 <- corAR1(0.8, form= ~1 | Subject)
> cs1AR1 <- initialize(cs1AR1, data =
2006 Jul 17
1
Variance functions in package nlme
Dear R-help,
I am trying to set up linear mixed effects models in R using the (recommended)
nlme package (R version 2.3.1 on a Linux platform). When trying to reproduce
an example from Jose Pinheiro & Douglas Bates (2000, p 210) I get the
following error message (code to produce message pasted as well):
library("nlme")
data("Orthodont")
vf1Ident <- varIdent(
2009 Dec 09
2
[PATCH] memdisk: Fix "might be used uninitialized" warnings
...while (!ok) {
/* Assume it's a floppy drive, guess a geometry */
unsigned int type, track;
- int c, h, s;
+ int c, h, s = 0;
if (xsectors < 320 * 2) {
c = 40;
@@ -795,7 +795,7 @@ static void relocate_rm_code(uint32_t newbase)
static uint8_t checksum_buf(const void *buf, int count)
{
const uint8_t *p = buf;
- uint8_t c;
+ uint8_t c = 0;
while (count--)
c += *p++;
--
1.5.3.4
- Shao Miller
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2005 Nov 03
1
Fitting heteroscedastic linear models/ problems with varIdent of nlme
Hi,
I would like to fit a model for a factorial design that allows for
unequal variances in all groups. If I am not mistaken, this can be done
in lm by specifying weights.
A function intended to specify weights for unequal variance structures
is provided in the nlme library with the varIdent function. Is it
apropriate to use these weights with lm? If not, is there another
possibility to do