Hmm, so there was not even lag before the unpack? If you don't mind my asking, what system are you running on?
Specifically, I am running on a Macbook Pro OSX 10.9.4 with a 2.6 GHz Intel Core i7 and 16GB of ram 1600 MHz DDR3, which should be enough for a task like this. Nonetheless, because of the lack of reproduction, I am wondering whether this is a system issue. On Friday, August 8, 2014 1:02:50 PM UTC-4, Keno Fischer wrote: > > I ran your second code yesterday and it finished eventually without any > problem. > > On Fri, Aug 8, 2014 at 1:00 PM, <yaois...@gmail.com <javascript:>> > wrote: > > Hi Keno, > > > > So there was no lag or huge delay for you for the unpack function? > > I am using a Mac OSX 10.9.4 system, Julia 0.3.0-RC1. > > If you change nMCMC to 500, that should allow the algorithm to reach > unpack > > function in a reasonable amount of time while still having too long of a > > pararray to deal with. At that point, the code hangs on two Macs that > I've > > tried. > > > > Thank you, > > Wally > > > > On Thursday, August 7, 2014 10:29:43 PM UTC-4, Keno Fischer wrote: > >> > >> Hi Wally, I ran your code for a couple of hours today, but it never > >> crashed for me. Can you tell me what I should do to reproduce? > >> > >> On Thu, Aug 7, 2014 at 3:03 PM, <yaois...@gmail.com> wrote: > >> > Edit: I got rid of the collect function in the code, and while very > >> > slow, > >> > the code does what I intended it to do, and no longer returns that > >> > error. I > >> > have not tried larger arrays yet, but tentatively, the issue no > longer > >> > occurs for smaller pararrays. > >> > > >> > > >> > > Jeearray,Jiiarray,Jeiarray,Jieiarray,Jiecarray,cs1array,cs2array,cs3array,cs4array,cs0array,chiarray,r2array > > > >> > = zip(pararray...) > >> > > >> > > >> > > >> > On Thursday, August 7, 2014 2:39:50 PM UTC-4, yaois...@gmail.com > wrote: > >> >> > >> >> Hey guys, > >> >> > >> >> So I've tried to get around the issue by just running the algorithm > by > >> >> running fewer Markov chain Monte Carlo iterations (labeled in the > code > >> >> as > >> >> nMCMC), but even in the hundreds of iterations, the issue is > cropping > >> >> up, > >> >> and when I'm trying to run in the tens of thousands, stopping > >> >> frequently to > >> >> update parameters becomes very inefficient. > >> >> > >> >> Another way around this would maybe be to write a meta script that > >> >> calls > >> >> the script for a few tens of iterations, update the parameters, then > >> >> call > >> >> the script again, but I do not know how to do that yet, and that > also > >> >> sounds > >> >> very inefficient. > >> >> > >> >> Ideally, I could find some way of getting around this issue within > one > >> >> script. > >> >> > >> >> Here is the problem line: > >> >> > >> >> > >> >> > >> >> > Jeearray,Jiiarray,Jeiarray,Jieiarray,Jiecarray,cs1array,cs2array,cs3array,cs4array,cs0array,chiarray,r2array > > > >> >> = collect(zip(pararray...)) > >> >> > >> >> > >> >> I can do a similar thing in Python, with > >> >> > >> >> > >> >> > >> >> > Jeelist,Jiilist,Jeilist,Jieilist,Jieclist,cs1list,cs2list,cs3list,cs4list,cs0list,chilist,r2list > > > >> >> = zip(*parlist) > >> >> > >> >> > >> >> even when I have 500,000 entries of tuples stored in the "parlist," > so > >> >> I > >> >> am not sure where Julia is going wrong. > >> >> > >> >> On Monday, August 4, 2014 12:13:42 PM UTC-4, yaois...@gmail.com > wrote: > >> >>> > >> >>> No rush. Thanks for taking the time! > >> >>> > >> >>> On Monday, August 4, 2014 12:01:22 PM UTC-4, Keno Fischer wrote: > >> >>>> > >> >>>> Not yet, sorry. Will get to it today. > >> >>>> > >> >>>> On Mon, Aug 4, 2014 at 11:27 AM, <yaois...@gmail.com> wrote: > >> >>>> > Hi Keno, > >> >>>> > > >> >>>> > Was just wondering if you were able to take a look? > >> >>>> > > >> >>>> > Thanks, > >> >>>> > Wally > >> >>>> > > >> >>>> > On Friday, August 1, 2014 5:37:44 PM UTC-4, Keno Fischer wrote: > >> >>>> >> > >> >>>> >> The code looks perfectly fine to me, so it certainly shouldn't > >> >>>> >> crash. > >> >>>> >> I'll take a look. > >> >>>> >> > >> >>>> >> On Fri, Aug 1, 2014 at 4:35 PM, <yaois...@gmail.com> wrote: > >> >>>> >> > Hi guys, > >> >>>> >> > > >> >>>> >> > So in short, I coded a model-fitting Markov chain to fit some > >> >>>> >> > parameters > >> >>>> >> > of > >> >>>> >> > a neural network to existing data. > >> >>>> >> > With few amounts of Markov chain iterations, the code works > >> >>>> >> > fine, > >> >>>> >> > but > >> >>>> >> > when I > >> >>>> >> > run for longer, the code dies before it completes my function > of > >> >>>> >> > finding > >> >>>> >> > the > >> >>>> >> > parameters matching the lowest chi value and yields the error > >> >>>> >> > message: > >> >>>> >> > > >> >>>> >> > LLVM ERROR: Cannot select: 0x7fb67eaf3510: f64,ch = load > >> >>>> >> > 0x7fb679d2c438, > >> >>>> >> > 0x7fb67cc5b610, 0x7fb67cc57710<LD8[%13]> [ORD=49678] > [ID=620013] > >> >>>> >> > 0x7fb67cc5b610: i64 = add 0x7fb67c8cb010, 0x7fb67cc57e10 > >> >>>> >> > [ORD=49676] > >> >>>> >> > [ID=500012] > >> >>>> >> > 0x7fb67c8cb010: i64,ch = load 0x7fb679d2c438, > >> >>>> >> > 0x7fb67eb07a10, > >> >>>> >> > 0x7fb67cc57710<LD8[%9]> [ORD=49674] [ID=380011] > >> >>>> >> > 0x7fb67eb07a10: i64 = add 0x7fb67eb0af10, > 0x7fb67cc58210 > >> >>>> >> > [ORD=49673] > >> >>>> >> > [ID=260011] > >> >>>> >> > 0x7fb67eb0af10: i64,ch = load 0x7fb679d2c438, > >> >>>> >> > 0x7fb67eb0a510, > >> >>>> >> > 0x7fb67cc57710<LD8[%6]> [ORD=49671] [ID=140011] > >> >>>> >> > 0x7fb67eb0a510: i64 = add 0x7fb67c90fc10, > >> >>>> >> > 0x7fb67cc58210 > >> >>>> >> > [ORD=49670] [ID=130011] > >> >>>> >> > 0x7fb67c90fc10: i64,ch = load 0x7fb679d2c438, > >> >>>> >> > 0x7fb67cde5710, > >> >>>> >> > 0x7fb67cc57710<LD8[%3]> [ORD=49668] [ID=120011] > >> >>>> >> > 0x7fb67cde5710: i64,ch = CopyFromReg > >> >>>> >> > 0x7fb679d2c438, > >> >>>> >> > 0x7fb67cc5b810 [ORD=49667] [ID=120009] > >> >>>> >> > 0x7fb67cc5b810: i64 = Register %vreg1 > >> >>>> >> > [ORD=49667] > >> >>>> >> > [ID=1] > >> >>>> >> > 0x7fb67cc57710: i64 = undef [ORD=49668] [ID=2] > >> >>>> >> > 0x7fb67cc58210: i64 = Constant<16> [ORD=49670] > >> >>>> >> > [ID=3] > >> >>>> >> > 0x7fb67cc57710: i64 = undef [ORD=49668] [ID=2] > >> >>>> >> > 0x7fb67cc58210: i64 = Constant<16> [ORD=49670] [ID=3] > >> >>>> >> > 0x7fb67cc57710: i64 = undef [ORD=49668] [ID=2] > >> >>>> >> > 0x7fb67cc57e10: i64 = Constant<8> [ORD=49676] [ID=4] > >> >>>> >> > 0x7fb67cc57710: i64 = undef [ORD=49668] [ID=2] > >> >>>> >> > In function: jlcall__mkZip;20079 > >> >>>> >> > > >> >>>> >> > Is this a memory issue? > >> >>>> >> > > >> >>>> >> > Anyhow, I have attached my code for your perusal. Thank you > for > >> >>>> >> > your > >> >>>> >> > time > >> >>>> >> > and help. > >> >>>> >> > > >> >>>> >> > Regards, > >> >>>> >> > Wally >
