I've also tried to @profile, however, julia libraries seem to be executed the most.
Venil On Wednesday, August 24, 2016 at 11:16:53 PM UTC-7, Venil Noronha wrote: > > I've just been able to @time the loop so far to see allocations at > iteration level. I haven't yet tried @code_warntype; I'll probably do that > next and see if I can get somewhere. > > Thanks, > Venil > > On Wednesday, August 24, 2016 at 5:37:17 PM UTC-7, Tim Holy wrote: >> >> What have you tried so far? See http://docs.julialang.org/en/latest/manual/ >> >> performance-tips/#tools >> <http://docs.julialang.org/en/latest/manual/performance-tips/#tools>, >> esp. @code_warntype. >> >> --Tim >> >> On Wednesday, August 24, 2016 1:55:23 PM CDT Venil Noronha wrote: >> > The following code seems to consume a lot of memory. Could anyone spot >> what >> > I'm doing wrong here? I'm also using the JuMP library. >> > >> > function initUtilityConstraint() >> > c = categories[1] >> > me = attack_methods[1] >> > t = teams[1] >> > tuple = Simulate.cmt(c, me, t) >> > w = windows[1] >> > r = resources[1] >> > wrtuple = Simulate.wr(w, r) >> > for ni in 1:size(list,1), c in categories,* f in flights* >> > performloop(ni, c, f, tuple, wrtuple) >> > end >> > end >> > >> > function performloop(ni, c, f, tuple, wrtuple) >> > fi = findfirst(flights, f) >> > for w in windows, me in attack_methods >> > tuple.c = c >> > tuple.m = me >> > total = 0.0 >> > for t in teams >> > tuple.t = t >> > strat = linearizeStrategyS(f, c, t, w, ni) >> > total = total + effectiveness[tuple]*strat >> > end >> > >> > total = ( total*(flight_vals[fi]*(-1)) + flight_vals[fi] ) >> > >> > for w2 in owindows, r2 in resources >> > wrtuple.w = w2 >> > wrtuple.r = r2 >> > over = linearizeOverflow(w2, r2, ni) >> > total = total - resource_fines[wrtuple]*over >> > end >> > # println(string( sc[c], "<=", ( total*(flight_vals[fi]*(-1)) + >> > flight_vals[fi] ))) >> > @addConstraint(m, sc[c] <= total) >> > end >> > end >> > >> > Following are the stats for piece this code. Stats were recorded using >> > @time. >> > >> > For 1 item in the flights array, it takes about 620KB to execute the >> > performloop method - peak memory consumption by the program is 8.84GBs. >> > 2 flights - 1.02MB per iteration of performloop - peak 8.88GBs. >> > 3 flights - 3.45MB - 9.60GBs >> > 4 flights - 4.35MB - 10.24GBs >> > 5 flights - 10.8MB - 15.63GBs >> > >> > It'd be great if someone could help me with this asap! >> > >> > Thanks. >> >> >>
