I don't have a comparison between moses vs moses2. I'll give some moses numbers once the full dataset is decoded. And I can repeat the decoding for moses on the same machine.
BTW, the ProbingPT directory created by binarize4moses2.pl , could it be used for old Moses? Or would I have to use re-prune the phrase-table and then use the PhraseDictionaryMemory and LexicalReordering separatedly? But I'm getting 4M sentence, 86M words for 14 hours on moses2 for -threads 50 for 56 cores. ######################### ### MOSES CONFIG FILE ### ######################### # input factors [input-factors] 0 # mapping steps [mapping] 0 T 0 [distortion-limit] 6 # feature functions [feature] UnknownWordPenalty WordPenalty PhrasePenalty #PhraseDictionaryMemory name=TranslationModel0 num-features=4 path=/home/ltan/momo/phrase-table.gz input-factor=0 output-factor=0 ProbingPT name=TranslationModel0 num-features=4 path=/home/ltan/momo/momo-bin input-factor=0 output-factor=0 #LexicalReordering name=LexicalReordering0 num-features=6 type=wbe-msd-bidirectional-fe-allff input-factor=0 output-factor=0 path=/home/ltan/momo/reordering-table.wbe-msd-bidirectional-fe.gz LexicalReordering name=LexicalReordering0 num-features=6 type=wbe-msd-bidirectional-fe-allff input-factor=0 output-factor=0 property-index=0 Distortion KENLM name=LM0 factor=0 path=/home/ltan/momo/lm.ja.kenlm order=5 On Thu, Dec 14, 2017 at 3:52 AM, Hieu Hoang <[email protected]> wrote: > do up have comparison figures for moses v moses2? I never managed to get > reliable info for more than 32 cores > > config/moses.ini files would be good too > > Hieu Hoang > http://moses-smt.org/ > > > On 13 December 2017 at 06:10, liling tan <[email protected]> wrote: > >> Ah, that's why the phrase-table is exploding... I've never decoded more >> than 100K sentences before =) >> >> binarize4moses2.perl is awesome! Let me see how much speed up I get with >> Moses2 and pruned tables. >> >> Thank you Hieu and Barry! >> >> >> >> >> On Tue, Dec 12, 2017 at 6:38 PM, Hieu Hoang <[email protected]> wrote: >> >>> Barry is correct, having 750,000 translations for '.' severely degrades >>> speed. >>> >>> I had forgotten about the script I created: >>> scripts/generic/binarize4moses2.perl >>> which takes in the phrase table & lex reordering model, and prunes them >>> and runs addLexROtoPT. Basically, everything you need to do to create a >>> fast model for Moses2 >>> >>> Hieu Hoang >>> http://moses-smt.org/ >>> >>> >>> On 12 December 2017 at 09:16, Barry Haddow <[email protected]> >>> wrote: >>> >>>> Hi Liling >>>> >>>> The short answer is you need need to prune/filter your phrase table >>>> prior to creating the compact phrase table. I don't mean "filter model >>>> given input", because that won't make much difference if you have a very >>>> large input, I mean getting rid of rare translations which won't be used >>>> anyway. >>>> >>>> The compact phrase does not do pruning, it ends up being done in >>>> memory, so if you have 750,000 translations of the full-stop in your model >>>> then they all get loaded into memory, before Moses selects the top 20. >>>> >>>> You can use prunePhraseTable from Moses (which bizarrely needs to load >>>> a phrase table in order to parse the config file, last time I looked). You >>>> could also apply Johnson / entropic pruning, whatever works for you, >>>> >>>> cheers - Barry >>>> >>>> >>>> On 11/12/17 09:20, liling tan wrote: >>>> >>>> Dear Moses community/developers, >>>> >>>> I have a question on how to handle large models created using moses. >>>> >>>> I've a vanilla phrase-based model with >>>> >>>> - PhraseDictionary num-features=4 input-factor=0 output-factor=0 >>>> - LexicalReordering num-features=6 input-factor=0 output-factor=0 >>>> - KENLM order=5 factor=0 >>>> >>>> The size of the model is: >>>> >>>> - compressed phrase table is 5.4GB, >>>> - compressed reordering table is 1.9GB and >>>> - quantized LM is 600MB >>>> >>>> >>>> I'm running on a single 56 cores machine with 256GB RAM. Whenever I'm >>>> decoding I use -threads 56 parameter. >>>> >>>> It's takes really long to load the table and after loading, it breaks >>>> inconsistently at different lines when decoding, I notice that the RAM goes >>>> into swap before it breaks. >>>> >>>> I've tried compact phrased table and get a >>>> >>>> - 3.2GB .minphr >>>> - 1.5GV .minlexr >>>> >>>> And the same kind of random breakage happens when RAM goes into swap >>>> after loading the phrase-table. >>>> >>>> Strangely, it still manage to decode ~500K sentences before it breaks. >>>> >>>> Then I've tried with ondisk phrasetable and it's around 37GB >>>> uncompressed. Using the ondisk PT didn't cause breakage but the decoding >>>> time is significantly increased, now it can only decode 15K sentences in an >>>> hour. >>>> >>>> The setup is a little different from normal where we have the >>>> train/dev/test split. Currently, my task is to decode the train set. I've >>>> tried filtering the table with the trainset with >>>> filter-model-given-input.pl but the size of the compressed table >>>> didn't really decrease much. >>>> >>>> The entire training set is made up of 5M sentence pairs and it's taking >>>> 3+ days just to decode ~1.5M sentences with ondisk PT. >>>> >>>> >>>> My questions are: >>>> >>>> - Are there best practices with regards to deploying large Moses >>>> models? >>>> - Why does the 5+GB phrase table take up > 250GB RAM when decoding? >>>> - How else should I filter/compress the phrase table? >>>> - Is it normal to decode only ~500K sentence a day given the machine >>>> specs and the model size? >>>> >>>> I understand that I could split the train set up into two and train 2 >>>> models then cross-decode but if the training size is 10M sentence pairs, >>>> we'll face the same issues. >>>> >>>> Thank you for reading the long post and thank you in advances for any >>>> answers, discussions and enlightenment on this issue =) >>>> >>>> Regards, >>>> LIling >>>> >>>> >>>> _______________________________________________ >>>> Moses-support mailing >>>> [email protected]http://mailman.mit.edu/mailman/listinfo/moses-support >>>> >>>> >>>> >>>> The University of Edinburgh is a charitable body, registered in >>>> Scotland, with registration number SC005336. >>>> >>>> _______________________________________________ >>>> Moses-support mailing list >>>> [email protected] >>>> http://mailman.mit.edu/mailman/listinfo/moses-support >>>> >>>> >>> >> >
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