search for: stypee

Split the source immediate value into two new values and create OP_MOV instructions the two newly created values. Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- .../drivers/nouveau/codegen/nv50_ir_peephole.cpp | 23 ++++++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/src/gallium/drivers/nouveau/codegen/nv50_ir_peephole.cpp

On 28.09.2016 02:01, Ilia Mirkin wrote: > On Tue, Sep 27, 2016 at 7:25 PM, Tobias Klausmann > <tobias.johannes.klausmann at mni.thm.de> wrote: >> Split the source immediate value into two new values and create OP_MOV >> instructions the two newly created values. >> >> Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> >> ---

Hi all, I'm very confused! I've been using the same code for many weeks without any bother for various covariates. I'm now looking at another covaraite and whenever I run the code you can see below I get an error message: "Error in rep(0, nrow(data)) : invalid 'times' argument" This code works: # remove 'missing' cases from data # snearma <-

Folding for conversions: F32->(U{16/32}, S{16/32}) and (U{16/32}, {S16/32})->F32 Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- .../drivers/nouveau/codegen/nv50_ir_peephole.cpp | 109 +++++++++++++++++++++ 1 file changed, 109 insertions(+) diff --git a/src/gallium/drivers/nouveau/codegen/nv50_ir_peephole.cpp

Folding for conversions: F32->(U{16/32}, S{16/32}) and (U{16/32}, {S16/32})->F32 Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- V2: beat me, whip me, split out F64 .../drivers/nouveau/codegen/nv50_ir_peephole.cpp | 81 ++++++++++++++++++++++ 1 file changed, 81 insertions(+) diff --git a/src/gallium/drivers/nouveau/codegen/nv50_ir_peephole.cpp

Is there a way to use one of the functions in the survey package to get a table of estimated percentages (or proportions) and the standard error for each? For example, suppose that AGECODE AND SEX are two factors with 5 and 2 levels. The 5x2 AGECODE x SEX table would have the estimated percentage of persons in each cell, 100*(sum of weights in the cell) / (sum of all weights) and the std

On Tue, Sep 27, 2016 at 7:25 PM, Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> wrote: > Split the source immediate value into two new values and create OP_MOV > instructions the two newly created values. > > Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> > --- > .../drivers/nouveau/codegen/nv50_ir_peephole.cpp | 23

On Fri, Sep 30, 2016 at 3:21 PM, Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> wrote: > > > On 28.09.2016 02:01, Ilia Mirkin wrote: >> >> On Tue, Sep 27, 2016 at 7:25 PM, Tobias Klausmann >> <tobias.johannes.klausmann at mni.thm.de> wrote: >>> >>> Split the source immediate value into two new values and create OP_MOV

Folding for conversions: F32/64->(U16/32, S16/32) and (U16/32, S16/32)->F32 No piglit regressions observed on nv50 and nvc0! Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- V2: fix usage of wrong variable V3: enable F64 support V4: - disable F64 support again - handle saturate flag: clamp to min/max if needed

I am having trouble understanding (i.e. getting) confidence intervals from the survey package. I am using R version 2.8.1 (2008-12-22) and survey package (3.11-2) on FC7 linux. To simplify my question I use an example from that package: R> data(api) R> dclus1<-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc) R> (tst <- svyby(~api99, ~stype,

Folding for conversions: F32/64->(U16/32, S16/32) and (U16/32, S16/32)->F32 No piglit regressions observed! Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- .../drivers/nouveau/codegen/nv50_ir_peephole.cpp | 74 ++++++++++++++++++++++ 1 file changed, 74 insertions(+) diff --git a/src/gallium/drivers/nouveau/codegen/nv50_ir_peephole.cpp

Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> --- Pretty sure there's nothing wrong with it, but it looks odd in the code. src/gallium/drivers/nouveau/codegen/nv50_ir_emit_gk110.cpp | 2 ++ src/gallium/drivers/nouveau/codegen/nv50_ir_emit_gm107.cpp | 7 +++++-- src/gallium/drivers/nouveau/codegen/nv50_ir_emit_nvc0.cpp | 2 ++ 3 files changed, 9 insertions(+), 2 deletions(-)

Some shaders appear to extract bits using shift/and combos. Detect (some) of those and convert to EXTBF instead. Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> --- .../drivers/nouveau/codegen/nv50_ir_peephole.cpp | 66 +++++++++++++++------- 1 file changed, 46 insertions(+), 20 deletions(-) diff --git a/src/gallium/drivers/nouveau/codegen/nv50_ir_peephole.cpp

Should the svyby function be able to work with svyquantile? I get the error below ... data(api) dclus1<-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc) svyby(~api00, design=dclus1, by = ~stype, quantiles=c(.25,.5,.75), FUN=svyquantile, na.rm=T ) > Error in object$coefficients : $ operator is invalid for atomic vectors A

I am doing boot with a large database, thus want to use?simple=TRUE to reduce the memory used. I alreday set up sim="ordinary", stype="i" , but I don't know how to set "n=0". In fact, I don't know what does "n=0" mean? For example, a<-c(1:1000) b<-c(2:1001) c<-cbind(a,b) library(boot) table<-function(c,indices){ d<-c[indices,]

Hello, I want to specify a linear regression model in which the metric outcome is predicted by two factors and their interaction. glm() computes effects for each factor level and the levels of the interaction. In the case of singularities glm() displays "NA" for the corresponding coefficients. However, svyglm() aborts with an error message. Is there a possibility that svyglm()

Folding for conversions: F32->(U{16/32}, S{16/32}) and (U{16/32}, {S16/32})->F32 Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- V2: Split out F64 parts V3: remove handling of saturate for (U/S)32, .../drivers/nouveau/codegen/nv50_ir_peephole.cpp | 73 ++++++++++++++++++++++ 1 file changed, 73 insertions(+) diff --git

On Sun, Jan 11, 2015 at 5:48 PM, Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> wrote: > > > On 11.01.2015 23:12, Ilia Mirkin wrote: >> >> On Sun, Jan 11, 2015 at 5:08 PM, Tobias Klausmann >> <tobias.johannes.klausmann at mni.thm.de> wrote: >>> >>> >>> On 11.01.2015 22:54, Ilia Mirkin wrote: >>>>

Folding for conversions: F32/64->(U16/32, S16/32) and (U16/32, S16/32)->F32 No piglit regressions observed on nv50 and nvc0! Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- V2: fix usage of wrong variable V3: enable F64 support V4: - disable F64 support again - handle saturate flag: clamp to min/max if needed V5: clamp before rounding to nearest

Hi All, This series implements using double immediates in the nouveau codegen code. This turns the following (nvc0) code: 1: mov u32 $r2 0x00000000 (8) 2: mov u32 $r3 0x3fe00000 (8) 3: add f64 $r0d $r0d $r2d (8) Into: 1: add f64 $r0d $r0d 0.500000 (8) This has been tested with the 2 double shader tests which I just send to the piglet list. On a gk208 (gk110 / SM35)