search for: data_typ

It would help if you sent the IR you're giving to opt or at least a complete C function and your clang command line. ~Craig On Wed, Mar 14, 2018 at 3:05 PM, hameeza ahmed <hahmed2305 at gmail.com> wrote: > Hello, > > I m unable to vectorize following kernel by opt tool; > > for (i = 0; i < _PB_NI; i++) > for (j = 0; j < _PB_NJ; j++) > { >

Hello, I m unable to vectorize following kernel by opt tool; for (i = 0; i < _PB_NI; i++) for (j = 0; j < _PB_NJ; j++) { tmp[i][j] = 0; for (k = 0; k < _PB_NK; ++k) tmp[i][j] += alpha * A[i][k] * B[k][j]; } for (i = 0; i < _PB_NI; i++) for (j = 0; j < _PB_NL; j++) { D[i][j] *= beta; for (k = 0; k < _PB_NJ; ++k) D[i][j] +=

...=> true do |t| t.column "username", :string t.column "created_on", :datetime t.column "email", :string t.column "note", :text end And everything works fine, but in development, it has to run this query for each view select column_name, data_type, data_default, nullable, decode(data_type, ''NUMBER'', data_precision, ''VARCHAR2'', data_length, null) as length, decode(data_type, ''NUMBER'', data_scale, null) as scale from user_catalog cat, user_synonyms syn, all_tab_columns col where cat....

...Monday, October 10, 2016 9:10:01 AM >> Subject: [test-suite] making polybench/symm succeed with "-Ofast" and "-ffp-contract=on" >> >> Hi, >> >> I would need some help to fix polybench/symm: >> >> void kernel_symm(int ni, int nj, >> DATA_TYPE alpha, >> DATA_TYPE beta, >> DATA_TYPE POLYBENCH_2D(C,NI,NJ,ni,nj), >> DATA_TYPE POLYBENCH_2D(A,NJ,NJ,nj,nj), >> DATA_TYPE POLYBENCH_2D(B,NI,NJ,ni,nj)) >> { >> int i, j, k; >> DATA_TYPE acc; >> >> /* C := alpha*A*B + beta*C, A is symetri...

Hi, I would need some help to fix polybench/symm: void kernel_symm(int ni, int nj, DATA_TYPE alpha, DATA_TYPE beta, DATA_TYPE POLYBENCH_2D(C,NI,NJ,ni,nj), DATA_TYPE POLYBENCH_2D(A,NJ,NJ,nj,nj), DATA_TYPE POLYBENCH_2D(B,NI,NJ,ni,nj)) { int i, j, k; DATA_TYPE acc; /* C := alpha*A*B + beta*C, A is symetric */ for (i = 0; i < _PB_NI; i++) for (j = 0; j < _PB_NJ; j++)...

...nsive again. If anybody else has this problem or if anybody wants to include the change into the next ActiveRecord version, here is what I''ve changed: in activerecord-1.13.2/lib/active_record/connection_adapters/oci_adapter.rb at line 341 (in the #columns method): - select column_name, data_type, data_default, nullable, + select /*+ RULE */ column_name, data_type, data_default, nullable, Best regards and thanks for the great framework, Andreas Gungl

...o something that will make the test > >> numerically stable (it does not look like the matrix itself > >> matters to the performance; where do the values come from?). > > 3 is more sound, 2 may be more practical. > > > > - C_StrictFP[i][j] = C[i][j] = ((DATA_TYPE) i*j) / ni; > > - B[i][j] = ((DATA_TYPE) i*j) / ni; > > + C_StrictFP[i][j] = C[i][j] = ((DATA_TYPE) i-j) / ni; > > + B[i][j] = ((DATA_TYPE) i-j) / ni; > > } > > for (i = 0; i < nj; i++) > > for (j = 0; j < nj; j++) > > -...

libvorbis does not currently have any simd/vectorization. Following patches add generic framework for simd/vectorization and on top, add ARM-NEON simd vectorization using intrinsics. I was able to get over 34% performance improvement on my Beaglebone Black which is single Cortex-A8 based CPU. You can find more information on metrics and procedure I used to measure at

...to convert all the pointers to arrays the mdct_backward function so it can be partitioned off for a hardware implementation. Although this code is quite short I'm finding it a little tricky. As it stands, mdct_backward is passed values by reference i.e. void mdct_backward(mdct_lookup *init, DATA_TYPE *in, DATA_TYPE *out) o my modified version starts void mdct_backward_2(mdct_lookup init, DATA_TYPE in[], DATA_TYPE out[]) The function contains statements such as DATA_TYPE *iX = in + n2-7 from which it appears that iX, oX are being used to index the in[] array and out[] array respectively....

...> numerically stable (it does not look like the matrix itself >>> >> matters to the performance; where do the values come from?). >>> >>> 3 is more sound, 2 may be more practical. >>> >>> >>> > - C_StrictFP[i][j] = C[i][j] = ((DATA_TYPE) i*j) / ni; >>> > - B[i][j] = ((DATA_TYPE) i*j) / ni; >>> > + C_StrictFP[i][j] = C[i][j] = ((DATA_TYPE) i-j) / ni; >>> > + B[i][j] = ((DATA_TYPE) i-j) / ni; >>> > } >>> > for (i = 0; i < nj; i++) >>> &gt...

...end %> <% end %> Partial: <div class="control-group"> <%= pregunta.label question.name, (question.label_text unless question.label_text.nil?), :class => ''control-label'' %> <div class="controls"> <% if question.data_type == ''select'' %> <%= pregunta.send(question.data_type, :answer, question.to_select,:class => "#{question.data_type}") %> <%= pregunta.hidden_field :question_id, :value => question.id , :class => "#{question.data_type}" %>...

...) that automatically adds the correct extension. diff --git a/libswfdec/swfdec_loader.c b/libswfdec/swfdec_loader.c index 4334562..8cd432c 100644 --- a/libswfdec/swfdec_loader.c +++ b/libswfdec/swfdec_loader.c @@ -59,7 +59,8 @@ enum { PROP_0, PROP_ERROR, - PROP_EOF + PROP_EOF, + PROP_DATA_TYPE }; G_DEFINE_ABSTRACT_TYPE (SwfdecLoader, swfdec_loader, G_TYPE_OBJECT) @@ -77,6 +78,9 @@ swfdec_loader_get_property (GObject *obj case PROP_EOF: g_value_set_boolean (value, loader->eof); break; + case PROP_DATA_TYPE: + g_value_set_enum (value, loader->data_type...

...eted select * from CREATE TABLE schema_info (version int) 54 SQL:BatchCompleted CREATE TABLE schema_info (version int) 54 SQL:BatchCompleted select * from CREATE TABLE schema_info (version int) 54 SQL:BatchCompleted SELECT COLUMN_NAME as ColName, COLUMN_DEFAULT as DefaultValue, DATA_TYPE as ColType, COL_LENGTH(''schema_info'', COLUMN_NAME) as Length, COLUMNPROPERTY(OBJECT_ID(''schema_info''), COLUMN_NAME, ''IsIdentity'') as IsIdentity, NUMERIC_SCALE as Scale FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME = ''schema_info'...

Hi all, This is a very basic question, but I just can't figure out why R is handling a loop I'm writing the way it is. Here is the script I have written: grid_2_series<-function(gage_handle,data_type,filename) series_name<-paste(gage_handle,data_type,sep="_") data_grid<-read.table(file=paste(filename,".txt",sep="")) num_rows_data<-nrow(data_grid)-1 num_cols_data<-ncol(data_grid)-4 num_obs<-num_rows_data*num_cols_data time_series<-matrix(nrow=0...

...Usage: 4 [-GRID <str>] [-FILE_DATA <str>] [-NX <num>] [-NY <num>] [-DXY <str>] [-XMIN <str>] [-YMIN <str>] [-UNIT <str>] [-ZFACTOR <str>] [-NODATA <str>] [-DATA_OFFSET <num>] [-LINE_OFFSET <num>] [-LINE_ENDSET <num>] [-DATA_TYPE <num>] [-BYTEORDER_BIG <num>] [-TOPDOWN <num>] -GRID:<str> Grid Data Object (optional output) -FILE_DATA:<str> Raw Data File File path -NX:<num> Cell Count (X) Integer -NY:<num> Cell Count (Y) Integer -DXY:<str> Cell Size Floating point -XMIN:<str...

...ot;description"=>"CIA flight...", "flightdate(1i)"=>"2005", "flightdate(2i)"=>"11", "flightdate(3i)"=>"24"}} [4;35;1mReport Columns (0.070000) SELECT COLUMN_NAME as ColName, COLUMN_DEFAULT as DefaultValue, DATA_TYPE as ColType, COL_LENGTH(''reports'', COLUMN_NAME) as Length, COLUMNPROPERTY(OBJECT_ID(''reports''), COLUMN_NAME, ''IsIdentity'') as IsIdentity, NUMERIC_SCALE as Scale FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME = ''reports''...

mdct.c, lines 436 onward (part of mdct_backward) state { DATA_TYPE *oX1=out+n2+n4; DATA_TYPE *oX2=out+n2+n4; DATA_TYPE *iX =out; T =init->trig+n2; do{ oX1-=4; oX1[3] = MULT_NORM (iX[0] * T[1] - iX[1] * T[0]); oX2[0] = -MULT_NORM (iX[0] * T[0] + iX[1] * T[1]); oX1[2] = MULT_NORM (iX[2] * T[3] - iX[...

...REG_SZ;... 192:??????? reg_val.type = REG_DWORD; 213:??????? if (reg_val->type != REG_SZ) {... 238:??????? if (reg_val->type != REG_DWORD) {... whereas "samba4/source4/lib/registry/registry.h" line 264-269 has: struct registry_value { ??????? const char *name; ??????? unsigned int data_type;???????? /* <- this member is called "data_type", not "type" ??????? DATA_BLOB data; }; Here is my output of samba build progress (stripped): ______________________________________________________________________________ root at server:~/openchange/sogo-good# make sam...

...frame': 490 obs. of 60 variables: ..$ STATE_FIPS: Factor w/ 12 levels "04","06","08",..: 11 11 11 11 4 5 5 5 5 5 ... [snip] ..$ STACOUNT4 : Factor w/ 489 levels "ArizonaApache",..: 437 460 451 453 147 207 195 198 231 206 ... ..- attr(*, "data_types")= chr [1:60] "C" "C" "C" "C" ... - attr(*, "class")= chr "Map" # Read case data (one row per case) cases = read.table("cases.txt", h=T,) str(cases) 'data.frame': 431 obs. of 8 variables: $ Year : int 1950...

..., labels= etiquetas ) + labs(color="Area") Pero me interesa más el modelo con 4 terms que sería: df <- ggpredict(m.glob.pre.anu , terms = c("pre", "area_m2", "sum.vs.win", "data_type") ) plot(df) Hasta aquí funciona todo. Pero si intento hacer los arreglos p.e.: plot(df)+ labs(title = "Predicted number of annuals" ,x = "MAP" ,y = "Proportion of annuals" ) Me da el siguiente error: Error in plot(...