No need to precompile. svds was recently added to base - but it won't exist in 0.3.
-viral On Wednesday, February 25, 2015 at 12:32:09 PM UTC+5:30, Todd Leo wrote: > > Isn't svd/svds already included in base? Do I need to precompile them? > > On Saturday, February 7, 2015 at 3:48:50 AM UTC+8, Tim Holy wrote: >> >> Since it allocates 120MB on the first call and only 9kB on the second, >> all that >> memory is just due to compilation. >> >> The only way I know to fix that is to precompile some of the functions >> when you >> build julia. If this is a big deal to you, consider adding your own >> custom >> userimg.jl (and see base/precompile.jl for a model). >> >> >> http://docs.julialang.org/en/latest/manual/modules/?highlight=userimg#module-initialization-and-precompilation >> >> >> --Tim >> >> On Friday, February 06, 2015 11:23:52 AM Viral Shah wrote: >> > This is because the internal operations with svds are allocating new >> > vectors every iteration. This PR should address it, but needs to be >> > completed, >> > >> > https://github.com/JuliaLang/julia/pull/7907 >> > >> > Also, array indexing giving views by default will also help here. >> > >> > -viral >> > >> > On Friday, February 6, 2015 at 7:50:24 PM UTC+5:30, Todd Leo wrote: >> > > Hi Julians, >> > > >> > > I am trying to apply svd on a very large sparse matrix using svds. >> When >> > > warming up svds function, I used a very small random vector, and the >> > > number >> > > of singular values (nsv) is set to one. However, this simple set up >> > > results >> > > in a considerable high cost of time, and as much as 120MB memory is >> > > occupied. To me, it doesn't make sense, and one can reproduce it by: >> > > >> > > julia> @time svds(sprand(3,3,0.1), nsv = 1) >> > > >> > >> elapsed time: 2.640233094 seconds (117 MB allocated, 1.06% gc time >> in 5 >> > >> >> > >>> pauses with 0 full sweep) >> > > >> > > Regards, >> > > Todd >> >>
