I assume that it's on local disk rather than a network drive.

Are you sure it's still in the loading stage, and that it's loading kenlm,
rather than the pt or lexicalized reordering model etc?

If there's a way to make the model files available for download or to give
me access your machine, i might be able to debug it

Hieu Hoang
http://www.hoang.co.uk/hieu
On 12 Apr 2016 08:41, "Jorg Tiedemann" <tiede...@gmail.com> wrote:

>
> Unfortunately, load=read didn’t help. It’s been loading for 7 hours now
> and no sign to start decoding.
> The disk is not terribly slow. cat worked without problem. I don’t know
> what to do but I think that I have to give up for now.
> Am I the only one who is experiencing such slow loading times?
>
> Thanks again for your help!
>
> Jörg
>
>
>
>
>
> On 10 Apr 2016, at 22:27, Kenneth Heafield <mo...@kheafield.com> wrote:
>
> With load=read:
>
> Act like normal RAM as part of the Moses process.
>
> Supports huge pages via transparent huge pages, so it's slightly faster.
>
> Before loading cat file >/dev/null will just put things into cache that
> were going to be read more or less like cat anyway.
>
> After loading cat file >/dev/null will hurt since there's the potential
> to load the file into RAM twice and swap out bits of Moses.
>
> Memory is shared between threads, just not with the disk cache (ok
> maybe, but only if they get huge pages support to work well) or other
> processes that independently read the file.
>
> With load=populate:
>
> Load upfront, map it into the process, kernel seems to evict it first.
>
> Before loading cat file >/dev/null might help, but in theory
> MAP_POPULATE should be doing much the same thing.
>
> After loading or during slow loading cat file >/dev/null can help
> because it forces the data back into RAM.  This is particularly useful
> if the Moses process came under memory pressure after loading, which can
> include heavy disk activity even if RAM isn't full.
>
> Memory is shared with all other processes that mmap.
>
> With load=lazy:
>
> Map into the process with lazy loading (i.e. mmap without MAP_POPULATE).
> Not recommended for decoding, but useful if you've got a 6 TB file and
> want to send it a few 1000 queries.
>
> cat will definitely help here at any time.
>
> Memory is shared with all other processes that mmap.
>
> On 04/10/2016 06:50 PM, Jorg Tiedemann wrote:
>
> Thanks for the quick reply.
> I will try the load option.
>
> Quick question: You said that the memory will not be shared across
> processes with that option. Does that mean that it will load the LM for
> each thread? That would mean a lot in my setup.
>
> By the way, I also did the cat >/dev/null thing but I didn’t have the
> impression that this changed a lot. Does it really help and how much
> would you usually gain? Thanks again!
>
>
> Jörg
>
>
> On 10 Apr 2016, at 12:55, Kenneth Heafield <mo...@kheafield.com
> <mailto:mo...@kheafield.com <mo...@kheafield.com>>> wrote:
>
> Hi,
>
> I'm assuming you have enough RAM to fit everything.  The kernel seems
> to preferentially evict mmapped pages as memory usage approaches full
> (it doesn't have to be full).  To work around this, use
>
> load=read
>
> in your moses.ini line for the models.  REMOVE any "lazyken" argument
> which is deprecated and might override the load= argument.
>
> The effect of load=read is to malloc (ok, anonymous mmap which is how
> malloc is implemented anyway) at a 1 GB aligned address (to optimize for
> huge pages) and read() the file into that memory.  It will no longer
> share across processes, but memory will have the same swapiness as the
> rest of the Moses process.
>
> Lazy loading will only make things worse here.
>
> Kenneth
>
> On 04/10/2016 07:29 AM, Jorg Tiedemann wrote:
>
> Hi,
>
> I have a large language model from the common crawl data set and it
> takes forever to load when running moses.
> My model is a trigram kenlm binarized with quantization, trie structures
> and pointer compression (-a 22 -q 8 -b 8).
> The model is about 140GB and it takes hours to load (I’m still waiting).
> I run on a machine with 256GB RAM ...
>
> I also tried lazy loading without success. Is this normal or do I do
> something wrong?
> Thanks for your help!
>
> Jörg
>
>
>
>
>
>
>
>
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