CGA Profiling / Performance tuning: how to?

Question

Hello Guys!

I was wondering if there is a way to profile our CGA code, is there a way to determine the number of calls for specific function, time spent in each function, etc.

For example:

Also I came across something that I am not sure if the call is being done one or three time

getScopeInWorld =

[ convert( x, scope, world, pos, 0,0,0 ) ,

convert( y, scope, world, pos, 0,0,0 ) ,

convert( z, scope, world, pos, 0,0,0 ) ]

print( [ getScopeInWorld[0], getScopeInWorld[1], getScopeInWorld[2] ] )

is getScopeInWorld evaluated three time or one time?

CherylLau · Answer

In a future release (2020.1), printing a const will work, but it doesn't work yet in 2020.0.

DaveLajoie · Answer

somehow the const statement prevents print statement...

getScopeInWorld =

print(
 [convert(x, scope, world, pos, 0, 0, 0),
 convert(y, scope, world, pos, 0, 0, 0),
 convert(z, scope, world, pos, 0, 0, 0)]
 )

const getConstScopeInWorld = 
 print(
 [convert(x, scope, world, pos, 0, 0, 0),
 convert(y, scope, world, pos, 0, 0, 0),
 convert(z, scope, world, pos, 0, 0, 0)]
 )

SplitXZ-->
 alignScopeToAxes(y)
 split( x, noAdjust ){ 10 : SplitZ }*

SplitZ-->
 split( z, noAdjust ){ 10 : Cell( getConstScopeInWorld ) }*

Cell( point )-->
 point
 color( rand(), rand(), rand() )
 X.

DaveLajoie · Answer

Tx!

Using a const might help indeed, however will it be constant per shape or for the entire rule evaluation? I guess I should be able to test this myself know that I know that I can put a print statement in a function.

will test and let you know.