From f9ec8ec31e5a0b6ccc352c834733462eae2481a0 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Sat, 22 Dec 2012 00:57:06 +0100 Subject: merge --- Makefile.am | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile.am b/Makefile.am index dbf604a1..5cfa547b 100644 --- a/Makefile.am +++ b/Makefile.am @@ -17,5 +17,5 @@ SUBDIRS = \ AUTOMAKE_OPTIONS = foreign ACLOCAL_AMFLAGS = -I m4 -AM_CPPFLAGS = -D_GLIBCXX_PARALLEL +AM_CPPFLAGS = -D_GLIBCXX_PARALLEL -march=native -mtune=native -O2 -pipe -fomit-frame-pointer -Wall -- cgit v1.2.3 From 8b399cb09513cd79ed4182be9f75882c1e1b336a Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Fri, 18 Jan 2013 14:36:51 +0100 Subject: parallelize enhancements --- training/dtrain/dtrain.h | 2 +- training/dtrain/parallelize.rb | 99 +++++++++++++++++------- training/dtrain/test/parallelize/cdec.ini | 2 +- training/dtrain/test/parallelize/in | 20 ++--- training/dtrain/test/parallelize/refs | 20 ++--- training/dtrain/test/parallelize/test/cdec.ini | 22 ------ training/dtrain/test/parallelize/test/dtrain.ini | 15 ---- training/dtrain/test/parallelize/test/in | 10 --- training/dtrain/test/parallelize/test/refs | 10 --- 9 files changed, 91 insertions(+), 109 deletions(-) delete mode 100644 training/dtrain/test/parallelize/test/cdec.ini delete mode 100644 training/dtrain/test/parallelize/test/dtrain.ini delete mode 100644 training/dtrain/test/parallelize/test/in delete mode 100644 training/dtrain/test/parallelize/test/refs diff --git a/training/dtrain/dtrain.h b/training/dtrain/dtrain.h index 4b6f415c..572fd613 100644 --- a/training/dtrain/dtrain.h +++ b/training/dtrain/dtrain.h @@ -3,7 +3,7 @@ #undef DTRAIN_FASTER_PERCEPTRON // only look at misranked pairs // DO NOT USE WITH SVM! -//#define DTRAIN_LOCAL +#define DTRAIN_LOCAL #define DTRAIN_DOTS 10 // after how many inputs to display a '.' #define DTRAIN_GRAMMAR_DELIM "########EOS########" #define DTRAIN_SCALE 100000 diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index eb4148f5..92ce1f6f 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -1,80 +1,119 @@ #!/usr/bin/env ruby -if ARGV.size != 5 +if ARGV.size != 7 STDERR.write "Usage: " - STDERR.write "ruby parallelize.rb <#shards> \n" + STDERR.write "ruby parallelize.rb <#shards|predef> \n" exit end -cdec_dir = '/path/to/cdec_dir' -dtrain_bin = "#{cdec_dir}/training/dtrain/dtrain_local" +cdec_dir = '~/mt/cdec-dtrain/' +dtrain_bin = "~/bin/dtrain_local" ruby = '/usr/bin/ruby' lplp_rb = "#{cdec_dir}/training/dtrain/hstreaming/lplp.rb" lplp_args = 'l2 select_k 100000' -gzip = '/bin/gzip' - -num_shards = ARGV[0].to_i -input = ARGV[1] -refs = ARGV[2] -epochs = ARGV[3].to_i -ini = ARGV[4] +ini = ARGV[0] +epochs = ARGV[1].to_i +rand = false +rand = true if ARGV[2]=='true' +predefined_shards = false +if ARGV[3] == 'predef' + predefined_shards = true + num_shards = -1 +else + num_shards = ARGV[3].to_i +end +shards_at_once = ARGV[4].to_i +input = ARGV[5] +refs = ARGV[6] `mkdir work` -def make_shards(input, refs, num_shards) +def make_shards(input, refs, num_shards, epoch, rand) lc = `wc -l #{input}`.split.first.to_i + index = (0..lc-1).to_a + index.reverse! + index.shuffle! if rand shard_sz = lc / num_shards leftover = lc % num_shards in_f = File.new input, 'r' + in_lines = in_f.readlines refs_f = File.new refs, 'r' + refs_lines = refs_f.readlines shard_in_files = [] shard_refs_files = [] + in_fns = [] + refs_fns = [] 0.upto(num_shards-1) { |shard| - shard_in = File.new "work/shard.#{shard}.in", 'w+' - shard_refs = File.new "work/shard.#{shard}.refs", 'w+' + in_fn = "work/shard.#{shard}.#{epoch}.in" + shard_in = File.new in_fn, 'w+' + in_fns << in_fn + refs_fn = "work/shard.#{shard}.#{epoch}.refs" + shard_refs = File.new refs_fn, 'w+' + refs_fns << refs_fn 0.upto(shard_sz-1) { |i| - shard_in.write in_f.gets - shard_refs.write refs_f.gets + j = index.pop + shard_in.write in_lines[j] + shard_refs.write refs_lines[j] } shard_in_files << shard_in shard_refs_files << shard_refs } while leftover > 0 - shard_in_files[-1].write in_f.gets - shard_refs_files[-1].write refs_f.gets + j = index.pop + shard_in_files[-1].write in_lines[j] + shard_refs_files[-1].write refs_lines[j] leftover -= 1 end (shard_in_files + shard_refs_files).each do |f| f.close end in_f.close refs_f.close + return [in_fns, refs_fns] end -make_shards input, refs, num_shards +input_files = [] +refs_files = [] +if predefined_shards + input_files = File.new(input).readlines.map {|i| i.strip } + refs_files = File.new(refs).readlines.map {|i| i.strip } + num_shards = input_files.size +else + input_files, refs_files = make_shards input, refs, num_shards, 0, rand +end 0.upto(epochs-1) { |epoch| + puts "epoch #{epoch+1}" pids = [] input_weights = '' if epoch > 0 then input_weights = "--input_weights work/weights.#{epoch-1}" end weights_files = [] - 0.upto(num_shards-1) { |shard| - pids << Kernel.fork { - `#{dtrain_bin} -c #{ini}\ - --input work/shard.#{shard}.in\ - --refs work/shard.#{shard}.refs #{input_weights}\ - --output work/weights.#{shard}.#{epoch}\ - &> work/out.#{shard}.#{epoch}` + shard = 0 + remaining_shards = num_shards + while remaining_shards > 0 + shards_at_once.times { + pids << Kernel.fork { + `#{dtrain_bin} -c #{ini}\ + --input #{input_files[shard]}\ + --refs #{refs_files[shard]} #{input_weights}\ + --output work/weights.#{shard}.#{epoch}\ + &> work/out.#{shard}.#{epoch}` + } + weights_files << "work/weights.#{shard}.#{epoch}" + shard += 1 + remaining_shards -= 1 } - weights_files << "work/weights.#{shard}.#{epoch}" - } - pids.each { |pid| Process.wait(pid) } + pids.each { |pid| Process.wait(pid) } + pids.clear + end cat = File.new('work/weights_cat', 'w+') weights_files.each { |f| cat.write File.new(f, 'r').read } cat.close `#{ruby} #{lplp_rb} #{lplp_args} #{num_shards} < work/weights_cat &> work/weights.#{epoch}` + if rand and epoch+1!=epochs + input_files, refs_files = make_shards input, refs, num_shards, epoch+1, rand + end } `rm work/weights_cat` -`#{gzip} work/*` diff --git a/training/dtrain/test/parallelize/cdec.ini b/training/dtrain/test/parallelize/cdec.ini index 72e99dc5..e118374b 100644 --- a/training/dtrain/test/parallelize/cdec.ini +++ b/training/dtrain/test/parallelize/cdec.ini @@ -4,7 +4,7 @@ intersection_strategy=cube_pruning cubepruning_pop_limit=200 scfg_max_span_limit=15 feature_function=WordPenalty -feature_function=KLanguageModel /stor/dat/wmt12/en/news_only/m/wmt12.news.en.3.kenv5 +feature_function=KLanguageModel ./nc-wmt11.en.srilm.gz #feature_function=ArityPenalty #feature_function=CMR2008ReorderingFeatures #feature_function=Dwarf diff --git a/training/dtrain/test/parallelize/in b/training/dtrain/test/parallelize/in index a312809f..3b7dec39 100644 --- a/training/dtrain/test/parallelize/in +++ b/training/dtrain/test/parallelize/in @@ -1,10 +1,10 @@ -barack obama erhält als vierter us @-@ präsident den frieden nobelpreis -der amerikanische präsident barack obama kommt für 26 stunden nach oslo , norwegen , um hier als vierter us @-@ präsident in der geschichte den frieden nobelpreis entgegen zunehmen . -darüber hinaus erhält er das diplom sowie die medaille und einen scheck über 1,4 mio. dollar für seine außer gewöhnlichen bestrebungen um die intensivierung der welt diplomatie und zusammen arbeit unter den völkern . -der chef des weißen hauses kommt morgen zusammen mit seiner frau michelle in der nordwegischen metropole an und wird die ganze zeit beschäftigt sein . -zunächst stattet er dem nobel @-@ institut einen besuch ab , wo er überhaupt zum ersten mal mit den fünf ausschuss mitglieder zusammen trifft , die ihn im oktober aus 172 leuten und 33 organisationen gewählt haben . -das präsidenten paar hat danach ein treffen mit dem norwegischen könig harald v. und königin sonja eingeplant . -nachmittags erreicht dann der besuch seinen höhepunkt mit der zeremonie , bei der obama den prestige preis übernimmt . -diesen erhält er als der vierte us @-@ präsident , aber erst als der dritte , der den preis direkt im amt entgegen nimmt . -das weiße haus avisierte schon , dass obama bei der übernahme des preises über den afghanistan krieg sprechen wird . -der präsident will diesem thema nicht ausweichen , weil er weiß , dass er den preis als ein präsident übernimmt , der zur zeit krieg in zwei ländern führt . +europas nach rassen geteiltes haus +ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . +der lega nord in italien , der vlaams block in den niederlanden , die anhänger von le pens nationaler front in frankreich , sind beispiele für parteien oder bewegungen , die sich um das gemeinsame thema : ablehnung der zuwanderung gebildet haben und um forderung nach einer vereinfachten politik , um sie zu regeln . +während individuen wie jörg haidar und jean @-@ marie le pen kommen und ( leider nicht zu bald ) wieder gehen mögen , wird die rassenfrage aus der europäischer politik nicht so bald verschwinden . +eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . +die großen parteien der rechten und der linken mitte haben sich dem problem gestellt , in dem sie den kopf in den sand gesteckt und allen aussichten zuwider gehofft haben , es möge bald verschwinden . +das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . +die beziehungen zwischen den rassen standen in den usa über jahrzehnte - und tun das noch heute - im zentrum der politischen debatte . das ging so weit , daß rassentrennung genauso wichtig wie das einkommen wurde , - wenn nicht sogar noch wichtiger - um politische zuneigungen und einstellungen zu bestimmen . +der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . +genau das haben in den usa eine große anzahl an forschungsvorhaben in wirtschaft , soziologie , psychologie und politikwissenschaft geleistet . diese forschungen zeigten , daß menschen unterschiedlicher rasse einander deutlich weniger vertrauen . diff --git a/training/dtrain/test/parallelize/refs b/training/dtrain/test/parallelize/refs index 4d3128cb..632e27b0 100644 --- a/training/dtrain/test/parallelize/refs +++ b/training/dtrain/test/parallelize/refs @@ -1,10 +1,10 @@ -barack obama becomes the fourth american president to receive the nobel peace prize -the american president barack obama will fly into oslo , norway for 26 hours to receive the nobel peace prize , the fourth american president in history to do so . -he will receive a diploma , medal and cheque for 1.4 million dollars for his exceptional efforts to improve global diplomacy and encourage international cooperation , amongst other things . -the head of the white house will be flying into the norwegian city in the morning with his wife michelle and will have a busy schedule . -first , he will visit the nobel institute , where he will have his first meeting with the five committee members who selected him from 172 people and 33 organisations . -the presidential couple then has a meeting scheduled with king harald v and queen sonja of norway . -then , in the afternoon , the visit will culminate in a grand ceremony , at which obama will receive the prestigious award . -he will be the fourth american president to be awarded the prize , and only the third to have received it while actually in office . -the white house has stated that , when he accepts the prize , obama will speak about the war in afghanistan . -the president does not want to skirt around this topic , as he realises that he is accepting the prize as a president whose country is currently at war in two countries . +europe 's divided racial house +a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . +the lega nord in italy , the vlaams blok in the netherlands , the supporters of le pen 's national front in france , are all examples of parties or movements formed on the common theme of aversion to immigrants and promotion of simplistic policies to control them . +while individuals like jorg haidar and jean @-@ marie le pen may come and ( never to soon ) go , the race question will not disappear from european politics anytime soon . +an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . +mainstream parties of the center left and center right have confronted this prospect by hiding their heads in the ground , hoping against hope that the problem will disappear . +it will not , as america 's racial history clearly shows . +race relations in the us have been for decades - and remain - at the center of political debate , to the point that racial cleavages are as important as income , if not more , as determinants of political preferences and attitudes . +the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . +this is precisely what a large amount of research in economics , sociology , psychology and political science has done for the us . diff --git a/training/dtrain/test/parallelize/test/cdec.ini b/training/dtrain/test/parallelize/test/cdec.ini deleted file mode 100644 index 72e99dc5..00000000 --- a/training/dtrain/test/parallelize/test/cdec.ini +++ /dev/null @@ -1,22 +0,0 @@ -formalism=scfg -add_pass_through_rules=true -intersection_strategy=cube_pruning -cubepruning_pop_limit=200 -scfg_max_span_limit=15 -feature_function=WordPenalty -feature_function=KLanguageModel /stor/dat/wmt12/en/news_only/m/wmt12.news.en.3.kenv5 -#feature_function=ArityPenalty -#feature_function=CMR2008ReorderingFeatures -#feature_function=Dwarf -#feature_function=InputIndicator -#feature_function=LexNullJump -#feature_function=NewJump -#feature_function=NgramFeatures -#feature_function=NonLatinCount -#feature_function=OutputIndicator -#feature_function=RuleIdentityFeatures -#feature_function=RuleNgramFeatures -#feature_function=RuleShape -#feature_function=SourceSpanSizeFeatures -#feature_function=SourceWordPenalty -#feature_function=SpanFeatures diff --git a/training/dtrain/test/parallelize/test/dtrain.ini b/training/dtrain/test/parallelize/test/dtrain.ini deleted file mode 100644 index 03f9d240..00000000 --- a/training/dtrain/test/parallelize/test/dtrain.ini +++ /dev/null @@ -1,15 +0,0 @@ -k=100 -N=4 -learning_rate=0.0001 -gamma=0 -loss_margin=0 -epochs=1 -scorer=stupid_bleu -sample_from=kbest -filter=uniq -pair_sampling=XYX -hi_lo=0.1 -select_weights=last -print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough -tmp=/tmp -decoder_config=cdec.ini diff --git a/training/dtrain/test/parallelize/test/in b/training/dtrain/test/parallelize/test/in deleted file mode 100644 index a312809f..00000000 --- a/training/dtrain/test/parallelize/test/in +++ /dev/null @@ -1,10 +0,0 @@ -barack obama erhält als vierter us @-@ präsident den frieden nobelpreis -der amerikanische präsident barack obama kommt für 26 stunden nach oslo , norwegen , um hier als vierter us @-@ präsident in der geschichte den frieden nobelpreis entgegen zunehmen . -darüber hinaus erhält er das diplom sowie die medaille und einen scheck über 1,4 mio. dollar für seine außer gewöhnlichen bestrebungen um die intensivierung der welt diplomatie und zusammen arbeit unter den völkern . -der chef des weißen hauses kommt morgen zusammen mit seiner frau michelle in der nordwegischen metropole an und wird die ganze zeit beschäftigt sein . -zunächst stattet er dem nobel @-@ institut einen besuch ab , wo er überhaupt zum ersten mal mit den fünf ausschuss mitglieder zusammen trifft , die ihn im oktober aus 172 leuten und 33 organisationen gewählt haben . -das präsidenten paar hat danach ein treffen mit dem norwegischen könig harald v. und königin sonja eingeplant . -nachmittags erreicht dann der besuch seinen höhepunkt mit der zeremonie , bei der obama den prestige preis übernimmt . -diesen erhält er als der vierte us @-@ präsident , aber erst als der dritte , der den preis direkt im amt entgegen nimmt . -das weiße haus avisierte schon , dass obama bei der übernahme des preises über den afghanistan krieg sprechen wird . -der präsident will diesem thema nicht ausweichen , weil er weiß , dass er den preis als ein präsident übernimmt , der zur zeit krieg in zwei ländern führt . diff --git a/training/dtrain/test/parallelize/test/refs b/training/dtrain/test/parallelize/test/refs deleted file mode 100644 index 4d3128cb..00000000 --- a/training/dtrain/test/parallelize/test/refs +++ /dev/null @@ -1,10 +0,0 @@ -barack obama becomes the fourth american president to receive the nobel peace prize -the american president barack obama will fly into oslo , norway for 26 hours to receive the nobel peace prize , the fourth american president in history to do so . -he will receive a diploma , medal and cheque for 1.4 million dollars for his exceptional efforts to improve global diplomacy and encourage international cooperation , amongst other things . -the head of the white house will be flying into the norwegian city in the morning with his wife michelle and will have a busy schedule . -first , he will visit the nobel institute , where he will have his first meeting with the five committee members who selected him from 172 people and 33 organisations . -the presidential couple then has a meeting scheduled with king harald v and queen sonja of norway . -then , in the afternoon , the visit will culminate in a grand ceremony , at which obama will receive the prestigious award . -he will be the fourth american president to be awarded the prize , and only the third to have received it while actually in office . -the white house has stated that , when he accepts the prize , obama will speak about the war in afghanistan . -the president does not want to skirt around this topic , as he realises that he is accepting the prize as a president whose country is currently at war in two countries . -- cgit v1.2.3 From 0c02f35192e7cec1298c94065dee4a32a6730252 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Thu, 24 Jan 2013 15:28:03 +0100 Subject: enable qsub use --- environment/LocalConfig.pm | 7 +++++++ training/dtrain/parallelize.rb | 25 +++++++++++++++---------- 2 files changed, 22 insertions(+), 10 deletions(-) diff --git a/environment/LocalConfig.pm b/environment/LocalConfig.pm index b9549c6e..627f7f8c 100644 --- a/environment/LocalConfig.pm +++ b/environment/LocalConfig.pm @@ -12,6 +12,7 @@ my $host = domainname; # keys are: HOST_REGEXP, MERTMem, QSubQueue, QSubMemFlag, QSubExtraFlags my $CCONFIG = { + 'StarCluster' => { 'HOST_REGEXP' => qr/compute-\d+\.internal$/, 'JobControl' => 'qsub', @@ -67,6 +68,12 @@ my $CCONFIG = { 'JobControl' => 'fork', 'DefaultJobs' => 12, }, + 'cluster.cl.uni-heidelberg.de' => { + 'HOST_REGEXP' => qr/node25/, + 'JobControl' => 'qsub', + 'QSubMemFlag' => '-l h_vmem=', + 'DefaultJobs' => 13, + }, 'LOCAL' => { # LOCAL must be last in the list!!! 'HOST_REGEXP' => qr//, 'QSubMemFlag' => ' ', diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index 92ce1f6f..6e30cf9d 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -3,15 +3,16 @@ if ARGV.size != 7 STDERR.write "Usage: " - STDERR.write "ruby parallelize.rb <#shards|predef> \n" + STDERR.write "ruby parallelize.rb <#shards|predef> \n" exit end -cdec_dir = '~/mt/cdec-dtrain/' -dtrain_bin = "~/bin/dtrain_local" +cdec_dir = '~/MAREC/cdec-dtrain/' +dtrain_bin = "~/MAREC/cdec-dtrain/training/dtrain/dtrain" ruby = '/usr/bin/ruby' lplp_rb = "#{cdec_dir}/training/dtrain/hstreaming/lplp.rb" lplp_args = 'l2 select_k 100000' +cat = '/bin/cat' ini = ARGV[0] epochs = ARGV[1].to_i @@ -27,6 +28,8 @@ end shards_at_once = ARGV[4].to_i input = ARGV[5] refs = ARGV[6] +use_qsub = false +use_qsub = true if ARGV[7] `mkdir work` @@ -92,12 +95,16 @@ end remaining_shards = num_shards while remaining_shards > 0 shards_at_once.times { + qsub_str_start = qsub_str_end = '' + if use_qsub + qsub_str_start = "qsub -cwd -sync y -b y -j y -o work/out.#{shard}.#{epoch} -N dtrain.#{shard}.#{epoch} \"" + qsub_str_end = "\"" + end pids << Kernel.fork { - `#{dtrain_bin} -c #{ini}\ + `#{qsub_str_start}#{dtrain_bin} -c #{ini}\ --input #{input_files[shard]}\ --refs #{refs_files[shard]} #{input_weights}\ - --output work/weights.#{shard}.#{epoch}\ - &> work/out.#{shard}.#{epoch}` + --output work/weights.#{shard}.#{epoch}#{qsub_str_end}` } weights_files << "work/weights.#{shard}.#{epoch}" shard += 1 @@ -106,10 +113,8 @@ end pids.each { |pid| Process.wait(pid) } pids.clear end - cat = File.new('work/weights_cat', 'w+') - weights_files.each { |f| cat.write File.new(f, 'r').read } - cat.close - `#{ruby} #{lplp_rb} #{lplp_args} #{num_shards} < work/weights_cat &> work/weights.#{epoch}` + `#{cat} work/weights.*.#{epoch} > work/weights_cat` + `#{ruby} #{lplp_rb} #{lplp_args} #{num_shards} < work/weights_cat > work/weights.#{epoch}` if rand and epoch+1!=epochs input_files, refs_files = make_shards input, refs, num_shards, epoch+1, rand end -- cgit v1.2.3 From 7c4a9e0825b15ce6c08c45c7654c614d542cf93a Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Thu, 24 Jan 2013 16:28:23 +0100 Subject: made examples work again --- training/dtrain/parallelize.rb | 12 ++++++++---- training/dtrain/test/example/README | 4 ++-- training/dtrain/test/example/cdec.ini | 2 +- training/dtrain/test/example/dtrain.ini | 4 ++-- training/dtrain/test/parallelize/README | 5 +++++ training/dtrain/test/parallelize/cdec.ini | 2 +- training/dtrain/test/parallelize/g/grammar.out.0.gz | Bin 0 -> 8318 bytes training/dtrain/test/parallelize/g/grammar.out.1.gz | Bin 0 -> 358560 bytes training/dtrain/test/parallelize/g/grammar.out.2.gz | Bin 0 -> 1014466 bytes training/dtrain/test/parallelize/g/grammar.out.3.gz | Bin 0 -> 391811 bytes training/dtrain/test/parallelize/g/grammar.out.4.gz | Bin 0 -> 149590 bytes training/dtrain/test/parallelize/g/grammar.out.5.gz | Bin 0 -> 537024 bytes training/dtrain/test/parallelize/g/grammar.out.6.gz | Bin 0 -> 291286 bytes training/dtrain/test/parallelize/g/grammar.out.7.gz | Bin 0 -> 1038140 bytes training/dtrain/test/parallelize/g/grammar.out.8.gz | Bin 0 -> 419889 bytes training/dtrain/test/parallelize/g/grammar.out.9.gz | Bin 0 -> 409140 bytes 16 files changed, 19 insertions(+), 10 deletions(-) create mode 100644 training/dtrain/test/parallelize/README create mode 100644 training/dtrain/test/parallelize/g/grammar.out.0.gz create mode 100644 training/dtrain/test/parallelize/g/grammar.out.1.gz create mode 100644 training/dtrain/test/parallelize/g/grammar.out.2.gz create mode 100644 training/dtrain/test/parallelize/g/grammar.out.3.gz create mode 100644 training/dtrain/test/parallelize/g/grammar.out.4.gz create mode 100644 training/dtrain/test/parallelize/g/grammar.out.5.gz create mode 100644 training/dtrain/test/parallelize/g/grammar.out.6.gz create mode 100644 training/dtrain/test/parallelize/g/grammar.out.7.gz create mode 100644 training/dtrain/test/parallelize/g/grammar.out.8.gz create mode 100644 training/dtrain/test/parallelize/g/grammar.out.9.gz diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index 6e30cf9d..9b0923f6 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -7,10 +7,10 @@ if ARGV.size != 7 exit end -cdec_dir = '~/MAREC/cdec-dtrain/' -dtrain_bin = "~/MAREC/cdec-dtrain/training/dtrain/dtrain" +dtrain_dir = File.expand_path File.dirname(__FILE__) +dtrain_bin = "#{dtrain_dir}/dtrain" ruby = '/usr/bin/ruby' -lplp_rb = "#{cdec_dir}/training/dtrain/hstreaming/lplp.rb" +lplp_rb = "#{dtrain_dir}/hstreaming/lplp.rb" lplp_args = 'l2 select_k 100000' cat = '/bin/cat' @@ -96,15 +96,19 @@ end while remaining_shards > 0 shards_at_once.times { qsub_str_start = qsub_str_end = '' + local_end = '' if use_qsub qsub_str_start = "qsub -cwd -sync y -b y -j y -o work/out.#{shard}.#{epoch} -N dtrain.#{shard}.#{epoch} \"" qsub_str_end = "\"" + local_end = '' + else + local_end = "&>work/out.#{shard}.#{epoch}" end pids << Kernel.fork { `#{qsub_str_start}#{dtrain_bin} -c #{ini}\ --input #{input_files[shard]}\ --refs #{refs_files[shard]} #{input_weights}\ - --output work/weights.#{shard}.#{epoch}#{qsub_str_end}` + --output work/weights.#{shard}.#{epoch}#{qsub_str_end} #{local_end}` } weights_files << "work/weights.#{shard}.#{epoch}" shard += 1 diff --git a/training/dtrain/test/example/README b/training/dtrain/test/example/README index 6937b11b..2df77086 100644 --- a/training/dtrain/test/example/README +++ b/training/dtrain/test/example/README @@ -1,8 +1,8 @@ Small example of input format for distributed training. -Call dtrain from cdec/dtrain/ with ./dtrain -c test/example/dtrain.ini . +Call dtrain from this folder with ../../dtrain -c test/example/dtrain.ini . For this to work, undef 'DTRAIN_LOCAL' in dtrain.h and recompile. -Data is here: http://simianer.de/#dtrain +data can be found here: http://simianer.de/#dtrain diff --git a/training/dtrain/test/example/cdec.ini b/training/dtrain/test/example/cdec.ini index d5955f0e..068ebd4d 100644 --- a/training/dtrain/test/example/cdec.ini +++ b/training/dtrain/test/example/cdec.ini @@ -4,7 +4,7 @@ scfg_max_span_limit=15 intersection_strategy=cube_pruning cubepruning_pop_limit=30 feature_function=WordPenalty -feature_function=KLanguageModel test/example/nc-wmt11.en.srilm.gz +feature_function=KLanguageModel ./nc-wmt11.en.srilm.gz # all currently working feature functions for translation: # (with those features active that were used in the ACL paper) #feature_function=ArityPenalty diff --git a/training/dtrain/test/example/dtrain.ini b/training/dtrain/test/example/dtrain.ini index 72d50ca1..97fce7f0 100644 --- a/training/dtrain/test/example/dtrain.ini +++ b/training/dtrain/test/example/dtrain.ini @@ -1,7 +1,7 @@ -input=test/example/nc-wmt11.1k.gz # use '-' for STDIN +input=./nc-wmt11.1k.gz # use '-' for STDIN output=- # a weights file (add .gz for gzip compression) or STDOUT '-' select_weights=VOID # don't output weights -decoder_config=test/example/cdec.ini # config for cdec +decoder_config=./cdec.ini # config for cdec # weights for these features will be printed on each iteration print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough tmp=/tmp diff --git a/training/dtrain/test/parallelize/README b/training/dtrain/test/parallelize/README new file mode 100644 index 00000000..89715105 --- /dev/null +++ b/training/dtrain/test/parallelize/README @@ -0,0 +1,5 @@ +run for example + ../../parallelize.rb ./dtrain.ini 4 false 2 2 ./in ./refs + +final weights will be in the file work/weights.3 + diff --git a/training/dtrain/test/parallelize/cdec.ini b/training/dtrain/test/parallelize/cdec.ini index e118374b..e43ba1c4 100644 --- a/training/dtrain/test/parallelize/cdec.ini +++ b/training/dtrain/test/parallelize/cdec.ini @@ -4,7 +4,7 @@ intersection_strategy=cube_pruning cubepruning_pop_limit=200 scfg_max_span_limit=15 feature_function=WordPenalty -feature_function=KLanguageModel ./nc-wmt11.en.srilm.gz +feature_function=KLanguageModel ../example/nc-wmt11.en.srilm.gz #feature_function=ArityPenalty #feature_function=CMR2008ReorderingFeatures #feature_function=Dwarf diff --git a/training/dtrain/test/parallelize/g/grammar.out.0.gz b/training/dtrain/test/parallelize/g/grammar.out.0.gz new file mode 100644 index 00000000..1e28a24b Binary files /dev/null and b/training/dtrain/test/parallelize/g/grammar.out.0.gz differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.1.gz b/training/dtrain/test/parallelize/g/grammar.out.1.gz new file mode 100644 index 00000000..372f5675 Binary files /dev/null and b/training/dtrain/test/parallelize/g/grammar.out.1.gz differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.2.gz b/training/dtrain/test/parallelize/g/grammar.out.2.gz new file mode 100644 index 00000000..145d0dc0 Binary files /dev/null and b/training/dtrain/test/parallelize/g/grammar.out.2.gz differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.3.gz b/training/dtrain/test/parallelize/g/grammar.out.3.gz new file mode 100644 index 00000000..105593ff Binary files /dev/null and b/training/dtrain/test/parallelize/g/grammar.out.3.gz differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.4.gz b/training/dtrain/test/parallelize/g/grammar.out.4.gz new file mode 100644 index 00000000..30781f48 Binary files /dev/null and b/training/dtrain/test/parallelize/g/grammar.out.4.gz differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.5.gz b/training/dtrain/test/parallelize/g/grammar.out.5.gz new file mode 100644 index 00000000..834ee759 Binary files /dev/null and b/training/dtrain/test/parallelize/g/grammar.out.5.gz differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.6.gz b/training/dtrain/test/parallelize/g/grammar.out.6.gz new file mode 100644 index 00000000..2e76f348 Binary files /dev/null and b/training/dtrain/test/parallelize/g/grammar.out.6.gz differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.7.gz b/training/dtrain/test/parallelize/g/grammar.out.7.gz new file mode 100644 index 00000000..3741a887 Binary files /dev/null and b/training/dtrain/test/parallelize/g/grammar.out.7.gz differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.8.gz b/training/dtrain/test/parallelize/g/grammar.out.8.gz new file mode 100644 index 00000000..ebf6bd0c Binary files /dev/null and b/training/dtrain/test/parallelize/g/grammar.out.8.gz differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.9.gz b/training/dtrain/test/parallelize/g/grammar.out.9.gz new file mode 100644 index 00000000..c1791059 Binary files /dev/null and b/training/dtrain/test/parallelize/g/grammar.out.9.gz differ -- cgit v1.2.3 From b89fd90083b22e6d4ab469af001a1f15fbcd7da9 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Mon, 11 Feb 2013 17:10:29 +0100 Subject: fixed l1 regularization iteration silliness --- training/dtrain/dtrain.cc | 39 ++++++++++++++++++++++----------------- 1 file changed, 22 insertions(+), 17 deletions(-) diff --git a/training/dtrain/dtrain.cc b/training/dtrain/dtrain.cc index 18286668..b317c365 100644 --- a/training/dtrain/dtrain.cc +++ b/training/dtrain/dtrain.cc @@ -246,7 +246,7 @@ main(int argc, char** argv) cerr << setw(25) << "k " << k << endl; cerr << setw(25) << "N " << N << endl; cerr << setw(25) << "T " << T << endl; - cerr << setw(25) << "scorer '" << scorer_str << "'" << endl; + cerr << setw(26) << "scorer '" << scorer_str << "'" << endl; if (scorer_str == "approx_bleu") cerr << setw(25) << "approx. B discount " << approx_bleu_d << endl; cerr << setw(25) << "sample from " << "'" << sample_from << "'" << endl; @@ -459,35 +459,40 @@ main(int argc, char** argv) } // l1 regularization + // please note that this penalizes _all_ weights + // (contrary to only the ones changed by the last update) + // after a _sentence_ (not after each example/pair) if (l1naive) { - for (unsigned d = 0; d < lambdas.size(); d++) { - weight_t v = lambdas.get(d); - lambdas.set_value(d, v - sign(v) * l1_reg); + FastSparseVector::iterator it = lambdas.begin(); + for (; it != lambdas.end(); ++it) { + it->second -= sign(it->second) * l1_reg; } } else if (l1clip) { - for (unsigned d = 0; d < lambdas.size(); d++) { - if (lambdas.nonzero(d)) { - weight_t v = lambdas.get(d); + FastSparseVector::iterator it = lambdas.begin(); + for (; it != lambdas.end(); ++it) { + if (it->second != 0) { + weight_t v = it->second; if (v > 0) { - lambdas.set_value(d, max(0., v - l1_reg)); + it->second = max(0., v - l1_reg); } else { - lambdas.set_value(d, min(0., v + l1_reg)); + it->second = min(0., v + l1_reg); } } } } else if (l1cumul) { weight_t acc_penalty = (ii+1) * l1_reg; // ii is the index of the current input - for (unsigned d = 0; d < lambdas.size(); d++) { - if (lambdas.nonzero(d)) { - weight_t v = lambdas.get(d); - weight_t penalty = 0; + FastSparseVector::iterator it = lambdas.begin(); + for (; it != lambdas.end(); ++it) { + if (it->second != 0) { + weight_t v = it->second; + weight_t penalized = 0.; if (v > 0) { - penalty = max(0., v-(acc_penalty + cumulative_penalties.get(d))); + penalized = max(0., v-(acc_penalty + cumulative_penalties.get(it->first))); } else { - penalty = min(0., v+(acc_penalty - cumulative_penalties.get(d))); + penalized = min(0., v+(acc_penalty - cumulative_penalties.get(it->first))); } - lambdas.set_value(d, penalty); - cumulative_penalties.set_value(d, cumulative_penalties.get(d)+penalty); + it->second = penalized; + cumulative_penalties.set_value(it->first, cumulative_penalties.get(it->first)+penalized); } } } -- cgit v1.2.3 From 349ee7d5599bb973506c8bbb56926cf9d366b564 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Sun, 3 Mar 2013 12:06:25 +0100 Subject: dtrain parallelize.rb fixes --- training/dtrain/parallelize.rb | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index 9b0923f6..23f2a7ed 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -1,7 +1,7 @@ #!/usr/bin/env ruby -if ARGV.size != 7 +if ARGV.size != 8 STDERR.write "Usage: " STDERR.write "ruby parallelize.rb <#shards|predef> \n" exit @@ -95,6 +95,7 @@ end remaining_shards = num_shards while remaining_shards > 0 shards_at_once.times { + break if remaining_shards==0 qsub_str_start = qsub_str_end = '' local_end = '' if use_qsub -- cgit v1.2.3 From bf9ee90b00ebc1fc4f3ce16cb33bdbd1032675c9 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Mon, 11 Mar 2013 15:30:09 +0100 Subject: parallelize.rb: proper command line arguments --- training/dtrain/parallelize.rb | 46 +++++++++++++++++++++++++++++------------- 1 file changed, 32 insertions(+), 14 deletions(-) diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index 23f2a7ed..50c966d7 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -1,12 +1,30 @@ #!/usr/bin/env ruby +require 'trollop' -if ARGV.size != 8 - STDERR.write "Usage: " - STDERR.write "ruby parallelize.rb <#shards|predef> \n" - exit +def usage + if ARGV.size != 8 + STDERR.write "Usage: " + STDERR.write "ruby parallelize.rb -c -e [--randomize/-z] -s <#shards|0> -p -i -r [--qsub/-q]\n" + exit 1 + end +end +usage if not [12, 13, 14].include? ARGV.size + +opts = Trollop::options do + opt :config, "dtrain config file", :type => :string + opt :epochs, "number of epochs", :type => :int + opt :randomize, "randomize shards before each epoch", :type => :bool, :short => '-z', :default => false + opt :shards, "number of shards", :type => :int + opt :processes_at_once, "have this number (max) running at the same time", :type => :int, :default => 9999 + opt :input, "input", :type => :string + opt :references, "references", :type => :string + opt :qsub, "use qsub", :type => :bool, :default => false end +puts opts.to_s + + dtrain_dir = File.expand_path File.dirname(__FILE__) dtrain_bin = "#{dtrain_dir}/dtrain" ruby = '/usr/bin/ruby' @@ -14,22 +32,22 @@ lplp_rb = "#{dtrain_dir}/hstreaming/lplp.rb" lplp_args = 'l2 select_k 100000' cat = '/bin/cat' -ini = ARGV[0] -epochs = ARGV[1].to_i +ini = opts[:config] +epochs = opts[:epochs] rand = false -rand = true if ARGV[2]=='true' +rand = true if opts[:randomize] predefined_shards = false -if ARGV[3] == 'predef' +if opts[:shards] == 0 predefined_shards = true - num_shards = -1 + num_shards = 0 else - num_shards = ARGV[3].to_i + num_shards = opts[:shards] end -shards_at_once = ARGV[4].to_i -input = ARGV[5] -refs = ARGV[6] +shards_at_once = opts[:processes_at_once] +input = opts[:input] +refs = opts[:references] use_qsub = false -use_qsub = true if ARGV[7] +use_qsub = true if opts[:qsub] `mkdir work` -- cgit v1.2.3 From 5125f56e6f0f5ee5427f2687eb5f962589ae4c5e Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Mon, 11 Mar 2013 15:35:41 +0100 Subject: parallelize.rb: proper command line arguments --- training/dtrain/parallelize.rb | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index 50c966d7..acfd7290 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -5,7 +5,7 @@ require 'trollop' def usage if ARGV.size != 8 STDERR.write "Usage: " - STDERR.write "ruby parallelize.rb -c -e [--randomize/-z] -s <#shards|0> -p -i -r [--qsub/-q]\n" + STDERR.write "ruby parallelize.rb -c -e [--randomize/-z] -s <#shards|0> -p -i -r [--qsub/-q] --dtrain_binary \n" exit 1 end end @@ -20,13 +20,18 @@ opts = Trollop::options do opt :input, "input", :type => :string opt :references, "references", :type => :string opt :qsub, "use qsub", :type => :bool, :default => false + opt :dtrain_binary, "path to dtrain binary", :type => :string end puts opts.to_s dtrain_dir = File.expand_path File.dirname(__FILE__) -dtrain_bin = "#{dtrain_dir}/dtrain" +if not opts[:dtrain_binary] + dtrain_bin = "#{dtrain_dir}/dtrain" +else + dtrain_bin = opts[:dtrain_binary] +end ruby = '/usr/bin/ruby' lplp_rb = "#{dtrain_dir}/hstreaming/lplp.rb" lplp_args = 'l2 select_k 100000' -- cgit v1.2.3 From 2482bc590bc38b0256322c52e135672a222e84d0 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Mon, 11 Mar 2013 15:57:34 +0100 Subject: parallelize.rb: proper command line arguments --- training/dtrain/parallelize.rb | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index acfd7290..30fb0008 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -21,6 +21,7 @@ opts = Trollop::options do opt :references, "references", :type => :string opt :qsub, "use qsub", :type => :bool, :default => false opt :dtrain_binary, "path to dtrain binary", :type => :string + opt :lplp_args, "arguments for lplp arguments", :type => :string, :default => "l2 select_k 100000" end puts opts.to_s @@ -34,7 +35,7 @@ else end ruby = '/usr/bin/ruby' lplp_rb = "#{dtrain_dir}/hstreaming/lplp.rb" -lplp_args = 'l2 select_k 100000' +lplp_args = opts[:lplp_args] cat = '/bin/cat' ini = opts[:config] -- cgit v1.2.3 From a72761780f54734ba20800fd5f099032fa1cd947 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Mon, 11 Mar 2013 16:00:42 +0100 Subject: bla --- training/dtrain/parallelize.rb | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index 30fb0008..a1826e98 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -9,7 +9,7 @@ def usage exit 1 end end -usage if not [12, 13, 14].include? ARGV.size +usage if not [11, 12, 13, 14].include? ARGV.size opts = Trollop::options do opt :config, "dtrain config file", :type => :string @@ -24,8 +24,6 @@ opts = Trollop::options do opt :lplp_args, "arguments for lplp arguments", :type => :string, :default => "l2 select_k 100000" end -puts opts.to_s - dtrain_dir = File.expand_path File.dirname(__FILE__) if not opts[:dtrain_binary] -- cgit v1.2.3 From fe8ad704d0b5ecf06c798d75d54789e6532fd3c1 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Fri, 15 Mar 2013 09:28:04 +0100 Subject: resharding --- training/dtrain/parallelize.rb | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index a1826e98..fca9b10d 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -5,16 +5,16 @@ require 'trollop' def usage if ARGV.size != 8 STDERR.write "Usage: " - STDERR.write "ruby parallelize.rb -c -e [--randomize/-z] -s <#shards|0> -p -i -r [--qsub/-q] --dtrain_binary \n" + STDERR.write "ruby parallelize.rb -c -e [--randomize/-z] [--reshard/-y] -s <#shards|0> -p -i -r [--qsub/-q] --dtrain_binary -l \"l2 select_k 100000\"\n" exit 1 end end -usage if not [11, 12, 13, 14].include? ARGV.size opts = Trollop::options do opt :config, "dtrain config file", :type => :string opt :epochs, "number of epochs", :type => :int opt :randomize, "randomize shards before each epoch", :type => :bool, :short => '-z', :default => false + opt :reshard, "reshard after each epoch", :type => :bool, :short => '-y', :default => false opt :shards, "number of shards", :type => :int opt :processes_at_once, "have this number (max) running at the same time", :type => :int, :default => 9999 opt :input, "input", :type => :string @@ -40,6 +40,8 @@ ini = opts[:config] epochs = opts[:epochs] rand = false rand = true if opts[:randomize] +reshard = false +reshard = true if opts[:reshard] predefined_shards = false if opts[:shards] == 0 predefined_shards = true @@ -142,7 +144,7 @@ end end `#{cat} work/weights.*.#{epoch} > work/weights_cat` `#{ruby} #{lplp_rb} #{lplp_args} #{num_shards} < work/weights_cat > work/weights.#{epoch}` - if rand and epoch+1!=epochs + if rand and reshard and epoch+1!=epochs input_files, refs_files = make_shards input, refs, num_shards, epoch+1, rand end } -- cgit v1.2.3 From 72b07dfc1534862aea06c102b4382513183ce253 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Fri, 15 Mar 2013 09:56:26 +0100 Subject: added fixed BLEU+1 --- training/dtrain/dtrain.cc | 2 ++ training/dtrain/score.cc | 31 ++++++++++++++++++++++++++++++- training/dtrain/score.h | 5 +++++ 3 files changed, 37 insertions(+), 1 deletion(-) diff --git a/training/dtrain/dtrain.cc b/training/dtrain/dtrain.cc index b317c365..53487d34 100644 --- a/training/dtrain/dtrain.cc +++ b/training/dtrain/dtrain.cc @@ -163,6 +163,8 @@ main(int argc, char** argv) scorer = dynamic_cast(new BleuScorer); } else if (scorer_str == "stupid_bleu") { scorer = dynamic_cast(new StupidBleuScorer); + } else if (scorer_str == "fixed_stupid_bleu") { + scorer = dynamic_cast(new FixedStupidBleuScorer); } else if (scorer_str == "smooth_bleu") { scorer = dynamic_cast(new SmoothBleuScorer); } else if (scorer_str == "sum_bleu") { diff --git a/training/dtrain/score.cc b/training/dtrain/score.cc index 34fc86a9..96d6e10a 100644 --- a/training/dtrain/score.cc +++ b/training/dtrain/score.cc @@ -49,7 +49,7 @@ BleuScorer::Score(vector& hyp, vector& ref, * for Machine Translation" * (Lin & Och '04) * - * NOTE: 0 iff no 1gram match + * NOTE: 0 iff no 1gram match ('grounded') */ score_t StupidBleuScorer::Score(vector& hyp, vector& ref, @@ -73,6 +73,35 @@ StupidBleuScorer::Score(vector& hyp, vector& ref, return brevity_penalty(hyp_len, ref_len) * exp(sum); } +/* + * fixed 'stupid' bleu + * + * as in "Optimizing for Sentence-Level BLEU+1 + * Yields Short Translations" + * (Nakov et al. '12) + */ +score_t +FixedStupidBleuScorer::Score(vector& hyp, vector& ref, + const unsigned /*rank*/, const unsigned /*src_len*/) +{ + unsigned hyp_len = hyp.size(), ref_len = ref.size(); + if (hyp_len == 0 || ref_len == 0) return 0.; + NgramCounts counts = make_ngram_counts(hyp, ref, N_); + unsigned M = N_; + vector v = w_; + if (ref_len < N_) { + M = ref_len; + for (unsigned i = 0; i < M; i++) v[i] = 1/((score_t)M); + } + score_t sum = 0, add = 0; + for (unsigned i = 0; i < M; i++) { + if (i == 0 && (counts.sum_[i] == 0 || counts.clipped_[i] == 0)) return 0.; + if (i == 1) add = 1; + sum += v[i] * log(((score_t)counts.clipped_[i] + add)/((counts.sum_[i] + add))); + } + return brevity_penalty(hyp_len, ref_len+1) * exp(sum); // <- fix +} + /* * smooth bleu * diff --git a/training/dtrain/score.h b/training/dtrain/score.h index f317c903..bddaa071 100644 --- a/training/dtrain/score.h +++ b/training/dtrain/score.h @@ -148,6 +148,11 @@ struct StupidBleuScorer : public LocalScorer score_t Score(vector& hyp, vector& ref, const unsigned /*rank*/, const unsigned /*src_len*/); }; +struct FixedStupidBleuScorer : public LocalScorer +{ + score_t Score(vector& hyp, vector& ref, const unsigned /*rank*/, const unsigned /*src_len*/); +}; + struct SmoothBleuScorer : public LocalScorer { score_t Score(vector& hyp, vector& ref, const unsigned /*rank*/, const unsigned /*src_len*/); -- cgit v1.2.3 From 529c8f0671ce0b09c2a797278a8f84242c86465d Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Fri, 15 Mar 2013 10:29:13 +0100 Subject: removed hadoop/hstreaming mode --- training/dtrain/README.md | 28 +---- training/dtrain/dtrain.cc | 121 +------------------ training/dtrain/dtrain.h | 8 +- training/dtrain/hstreaming/avg.rb | 32 ----- training/dtrain/hstreaming/cdec.ini | 22 ---- training/dtrain/hstreaming/dtrain.ini | 15 --- training/dtrain/hstreaming/dtrain.sh | 9 -- training/dtrain/hstreaming/hadoop-streaming-job.sh | 30 ----- training/dtrain/hstreaming/lplp.rb | 131 --------------------- training/dtrain/hstreaming/red-test | 9 -- training/dtrain/lplp.rb | 131 +++++++++++++++++++++ training/dtrain/parallelize.rb | 4 +- training/dtrain/test/example/cdec.ini | 2 +- 13 files changed, 144 insertions(+), 398 deletions(-) delete mode 100755 training/dtrain/hstreaming/avg.rb delete mode 100644 training/dtrain/hstreaming/cdec.ini delete mode 100644 training/dtrain/hstreaming/dtrain.ini delete mode 100755 training/dtrain/hstreaming/dtrain.sh delete mode 100755 training/dtrain/hstreaming/hadoop-streaming-job.sh delete mode 100755 training/dtrain/hstreaming/lplp.rb delete mode 100644 training/dtrain/hstreaming/red-test create mode 100755 training/dtrain/lplp.rb diff --git a/training/dtrain/README.md b/training/dtrain/README.md index 7edabbf1..2ab2f232 100644 --- a/training/dtrain/README.md +++ b/training/dtrain/README.md @@ -13,36 +13,18 @@ Builds when building cdec, see ../BUILDING . To build only parts needed for dtrain do ``` autoreconf -ifv - ./configure [--disable-gtest] - cd dtrain/; make + ./configure + cd training/dtrain/; make ``` Running ------- -To run this on a dev set locally: -``` - #define DTRAIN_LOCAL -``` -otherwise remove that line or undef, then recompile. You need a single -grammar file or input annotated with per-sentence grammars (psg) as you -would use with cdec. Additionally you need to give dtrain a file with -references (--refs) when running locally. - -The input for use with hadoop streaming looks like this: -``` - \t\t\t -``` -To convert a psg to this format you need to replace all "\n" -by "\t". Make sure there are no tabs in your data. - -For an example of local usage (with the 'distributed' format) -the see test/example/ . This expects dtrain to be built without -DTRAIN_LOCAL. +See directories under test/ . Legal ----- -Copyright (c) 2012 by Patrick Simianer +Copyright (c) 2012-2013 by Patrick Simianer -See the file ../LICENSE.txt for the licensing terms that this software is +See the file LICENSE.txt in the root folder for the licensing terms that this software is released under. diff --git a/training/dtrain/dtrain.cc b/training/dtrain/dtrain.cc index 53487d34..dfb5b351 100644 --- a/training/dtrain/dtrain.cc +++ b/training/dtrain/dtrain.cc @@ -12,9 +12,7 @@ dtrain_init(int argc, char** argv, po::variables_map* cfg) ("decoder_config", po::value(), "configuration file for cdec") ("print_weights", po::value(), "weights to print on each iteration") ("stop_after", po::value()->default_value(0), "stop after X input sentences") - ("tmp", po::value()->default_value("/tmp"), "temp dir to use") ("keep", po::value()->zero_tokens(), "keep weights files for each iteration") - ("hstreaming", po::value(), "run in hadoop streaming mode, arg is a task id") ("epochs", po::value()->default_value(10), "# of iterations T (per shard)") ("k", po::value()->default_value(100), "how many translations to sample") ("sample_from", po::value()->default_value("kbest"), "where to sample translations from: 'kbest', 'forest'") @@ -28,16 +26,14 @@ dtrain_init(int argc, char** argv, po::variables_map* cfg) ("gamma", po::value()->default_value(0.), "gamma for SVM (0 for perceptron)") ("select_weights", po::value()->default_value("last"), "output best, last, avg weights ('VOID' to throw away)") ("rescale", po::value()->zero_tokens(), "rescale weight vector after each input") - ("l1_reg", po::value()->default_value("none"), "apply l1 regularization as in 'Tsuroka et al' (2010)") + ("l1_reg", po::value()->default_value("none"), "apply l1 regularization as in 'Tsuroka et al' (2010) UNTESTED") ("l1_reg_strength", po::value(), "l1 regularization strength") ("fselect", po::value()->default_value(-1), "select top x percent (or by threshold) of features after each epoch NOT IMPLEMENTED") // TODO ("approx_bleu_d", po::value()->default_value(0.9), "discount for approx. BLEU") ("scale_bleu_diff", po::value()->zero_tokens(), "learning rate <- bleu diff of a misranked pair") ("loss_margin", po::value()->default_value(0.), "update if no error in pref pair but model scores this near") ("max_pairs", po::value()->default_value(std::numeric_limits::max()), "max. # of pairs per Sent.") -#ifdef DTRAIN_LOCAL ("refs,r", po::value(), "references in local mode") -#endif ("noup", po::value()->zero_tokens(), "do not update weights"); po::options_description cl("Command Line Options"); cl.add_options() @@ -55,16 +51,6 @@ dtrain_init(int argc, char** argv, po::variables_map* cfg) cerr << cl << endl; return false; } - if (cfg->count("hstreaming") && (*cfg)["output"].as() != "-") { - cerr << "When using 'hstreaming' the 'output' param should be '-'." << endl; - return false; - } -#ifdef DTRAIN_LOCAL - if ((*cfg)["input"].as() == "-") { - cerr << "Can't use stdin as input with this binary. Recompile without DTRAIN_LOCAL" << endl; - return false; - } -#endif if ((*cfg)["sample_from"].as() != "kbest" && (*cfg)["sample_from"].as() != "forest") { cerr << "Wrong 'sample_from' param: '" << (*cfg)["sample_from"].as() << "', use 'kbest' or 'forest'." << endl; @@ -111,17 +97,8 @@ main(int argc, char** argv) if (cfg.count("verbose")) verbose = true; bool noup = false; if (cfg.count("noup")) noup = true; - bool hstreaming = false; - string task_id; - if (cfg.count("hstreaming")) { - hstreaming = true; - quiet = true; - task_id = cfg["hstreaming"].as(); - cerr.precision(17); - } bool rescale = false; if (cfg.count("rescale")) rescale = true; - HSReporter rep(task_id); bool keep = false; if (cfg.count("keep")) keep = true; @@ -224,16 +201,8 @@ main(int argc, char** argv) // buffer input for t > 0 vector src_str_buf; // source strings (decoder takes only strings) vector > ref_ids_buf; // references as WordID vecs - // where temp files go - string tmp_path = cfg["tmp"].as(); -#ifdef DTRAIN_LOCAL string refs_fn = cfg["refs"].as(); ReadFile refs(refs_fn); -#else - string grammar_buf_fn = gettmpf(tmp_path, "dtrain-grammars"); - ogzstream grammar_buf_out; - grammar_buf_out.open(grammar_buf_fn.c_str()); -#endif unsigned in_sz = std::numeric_limits::max(); // input index, input size vector > all_scores; @@ -270,9 +239,7 @@ main(int argc, char** argv) cerr << setw(25) << "max pairs " << max_pairs << endl; cerr << setw(25) << "cdec cfg " << "'" << cfg["decoder_config"].as() << "'" << endl; cerr << setw(25) << "input " << "'" << input_fn << "'" << endl; -#ifdef DTRAIN_LOCAL cerr << setw(25) << "refs " << "'" << refs_fn << "'" << endl; -#endif cerr << setw(25) << "output " << "'" << output_fn << "'" << endl; if (cfg.count("input_weights")) cerr << setw(25) << "weights in " << "'" << cfg["input_weights"].as() << "'" << endl; @@ -285,14 +252,10 @@ main(int argc, char** argv) for (unsigned t = 0; t < T; t++) // T epochs { - if (hstreaming) cerr << "reporter:status:Iteration #" << t+1 << " of " << T << endl; - time_t start, end; time(&start); -#ifndef DTRAIN_LOCAL igzstream grammar_buf_in; if (t > 0) grammar_buf_in.open(grammar_buf_fn.c_str()); -#endif score_t score_sum = 0.; score_t model_sum(0); unsigned ii = 0, rank_errors = 0, margin_violations = 0, npairs = 0, f_count = 0, list_sz = 0; @@ -340,52 +303,6 @@ main(int argc, char** argv) // getting input vector ref_ids; // reference as vector -#ifndef DTRAIN_LOCAL - vector in_split; // input: sid\tsrc\tref\tpsg - if (t == 0) { - // handling input - split_in(in, in_split); - if (hstreaming && ii == 0) cerr << "reporter:counter:" << task_id << ",First ID," << in_split[0] << endl; - // getting reference - vector ref_tok; - boost::split(ref_tok, in_split[2], boost::is_any_of(" ")); - register_and_convert(ref_tok, ref_ids); - ref_ids_buf.push_back(ref_ids); - // process and set grammar - bool broken_grammar = true; // ignore broken grammars - for (string::iterator it = in.begin(); it != in.end(); it++) { - if (!isspace(*it)) { - broken_grammar = false; - break; - } - } - if (broken_grammar) { - cerr << "Broken grammar for " << ii+1 << "! Ignoring this input." << endl; - continue; - } - boost::replace_all(in, "\t", "\n"); - in += "\n"; - grammar_buf_out << in << DTRAIN_GRAMMAR_DELIM << " " << in_split[0] << endl; - decoder.AddSupplementalGrammarFromString(in); - src_str_buf.push_back(in_split[1]); - // decode - observer->SetRef(ref_ids); - decoder.Decode(in_split[1], observer); - } else { - // get buffered grammar - string grammar_str; - while (true) { - string rule; - getline(grammar_buf_in, rule); - if (boost::starts_with(rule, DTRAIN_GRAMMAR_DELIM)) break; - grammar_str += rule + "\n"; - } - decoder.AddSupplementalGrammarFromString(grammar_str); - // decode - observer->SetRef(ref_ids_buf[ii]); - decoder.Decode(src_str_buf[ii], observer); - } -#else if (t == 0) { string r_; getline(*refs, r_); @@ -402,7 +319,6 @@ main(int argc, char** argv) decoder.Decode(in, observer); else decoder.Decode(src_str_buf[ii], observer); -#endif // get (scored) samples vector* samples = observer->GetSamples(); @@ -505,11 +421,6 @@ main(int argc, char** argv) ++ii; - if (hstreaming) { - rep.update_counter("Seen #"+boost::lexical_cast(t+1), 1u); - rep.update_counter("Seen", 1u); - } - } // input loop if (average) w_average += lambdas; @@ -518,21 +429,8 @@ main(int argc, char** argv) if (t == 0) { in_sz = ii; // remember size of input (# lines) - if (hstreaming) { - rep.update_counter("|Input|", ii); - rep.update_gcounter("|Input|", ii); - rep.update_gcounter("Shards", 1u); - } } -#ifndef DTRAIN_LOCAL - if (t == 0) { - grammar_buf_out.close(); - } else { - grammar_buf_in.close(); - } -#endif - // print some stats score_t score_avg = score_sum/(score_t)in_sz; score_t model_avg = model_sum/(score_t)in_sz; @@ -546,7 +444,7 @@ main(int argc, char** argv) } unsigned nonz = 0; - if (!quiet || hstreaming) nonz = (unsigned)lambdas.num_nonzero(); + if (!quiet) nonz = (unsigned)lambdas.num_nonzero(); if (!quiet) { cerr << _p5 << _p << "WEIGHTS" << endl; @@ -571,16 +469,6 @@ main(int argc, char** argv) cerr << " avg f count: " << f_count/(float)list_sz << endl; } - if (hstreaming) { - rep.update_counter("Score 1best avg #"+boost::lexical_cast(t+1), (unsigned)(score_avg*DTRAIN_SCALE)); - rep.update_counter("Model 1best avg #"+boost::lexical_cast(t+1), (unsigned)(model_avg*DTRAIN_SCALE)); - rep.update_counter("Pairs avg #"+boost::lexical_cast(t+1), (unsigned)((npairs/(weight_t)in_sz)*DTRAIN_SCALE)); - rep.update_counter("Rank errors avg #"+boost::lexical_cast(t+1), (unsigned)((rank_errors/(weight_t)in_sz)*DTRAIN_SCALE)); - rep.update_counter("Margin violations avg #"+boost::lexical_cast(t+1), (unsigned)((margin_violations/(weight_t)in_sz)*DTRAIN_SCALE)); - rep.update_counter("Non zero feature count #"+boost::lexical_cast(t+1), nonz); - rep.update_gcounter("Non zero feature count #"+boost::lexical_cast(t+1), nonz); - } - pair remember; remember.first = score_avg; remember.second = model_avg; @@ -611,10 +499,6 @@ main(int argc, char** argv) if (average) w_average /= (weight_t)T; -#ifndef DTRAIN_LOCAL - unlink(grammar_buf_fn.c_str()); -#endif - if (!noup) { if (!quiet) cerr << endl << "Writing weights file to '" << output_fn << "' ..." << endl; if (select_weights == "last" || average) { // last, average @@ -651,7 +535,6 @@ main(int argc, char** argv) } } } - if (output_fn == "-" && hstreaming) cout << "__SHARD_COUNT__\t1" << endl; if (!quiet) cerr << "done" << endl; } diff --git a/training/dtrain/dtrain.h b/training/dtrain/dtrain.h index 572fd613..f368d810 100644 --- a/training/dtrain/dtrain.h +++ b/training/dtrain/dtrain.h @@ -1,14 +1,12 @@ #ifndef _DTRAIN_H_ #define _DTRAIN_H_ -#undef DTRAIN_FASTER_PERCEPTRON // only look at misranked pairs - // DO NOT USE WITH SVM! -#define DTRAIN_LOCAL +#undef DTRAIN_FASTER_PERCEPTRON // only consider actually misranked pairs + // DO NOT ENABLE WITH SVM (gamma > 0) OR loss_margin! + #define DTRAIN_DOTS 10 // after how many inputs to display a '.' -#define DTRAIN_GRAMMAR_DELIM "########EOS########" #define DTRAIN_SCALE 100000 - #include #include #include diff --git a/training/dtrain/hstreaming/avg.rb b/training/dtrain/hstreaming/avg.rb deleted file mode 100755 index 2599c732..00000000 --- a/training/dtrain/hstreaming/avg.rb +++ /dev/null @@ -1,32 +0,0 @@ -#!/usr/bin/env ruby -# first arg may be an int of custom shard count - -shard_count_key = "__SHARD_COUNT__" - -STDIN.set_encoding 'utf-8' -STDOUT.set_encoding 'utf-8' - -w = {} -c = {} -w.default = 0 -c.default = 0 -while line = STDIN.gets - key, val = line.split /\s/ - w[key] += val.to_f - c[key] += 1 -end - -if ARGV.size == 0 - shard_count = w["__SHARD_COUNT__"] -else - shard_count = ARGV[0].to_f -end -w.each_key { |k| - if k == shard_count_key - next - else - puts "#{k}\t#{w[k]/shard_count}" - #puts "# #{c[k]}" - end -} - diff --git a/training/dtrain/hstreaming/cdec.ini b/training/dtrain/hstreaming/cdec.ini deleted file mode 100644 index d4f5cecd..00000000 --- a/training/dtrain/hstreaming/cdec.ini +++ /dev/null @@ -1,22 +0,0 @@ -formalism=scfg -add_pass_through_rules=true -scfg_max_span_limit=15 -intersection_strategy=cube_pruning -cubepruning_pop_limit=30 -feature_function=WordPenalty -feature_function=KLanguageModel nc-wmt11.en.srilm.gz -#feature_function=ArityPenalty -#feature_function=CMR2008ReorderingFeatures -#feature_function=Dwarf -#feature_function=InputIndicator -#feature_function=LexNullJump -#feature_function=NewJump -#feature_function=NgramFeatures -#feature_function=NonLatinCount -#feature_function=OutputIndicator -#feature_function=RuleIdentityFeatures -#feature_function=RuleNgramFeatures -#feature_function=RuleShape -#feature_function=SourceSpanSizeFeatures -#feature_function=SourceWordPenalty -#feature_function=SpanFeatures diff --git a/training/dtrain/hstreaming/dtrain.ini b/training/dtrain/hstreaming/dtrain.ini deleted file mode 100644 index a2c219a1..00000000 --- a/training/dtrain/hstreaming/dtrain.ini +++ /dev/null @@ -1,15 +0,0 @@ -input=- -output=- -decoder_config=cdec.ini -tmp=/var/hadoop/mapred/local/ -epochs=1 -k=100 -N=4 -learning_rate=0.0001 -gamma=0 -scorer=stupid_bleu -sample_from=kbest -filter=uniq -pair_sampling=XYX -pair_threshold=0 -select_weights=last diff --git a/training/dtrain/hstreaming/dtrain.sh b/training/dtrain/hstreaming/dtrain.sh deleted file mode 100755 index 877ff94c..00000000 --- a/training/dtrain/hstreaming/dtrain.sh +++ /dev/null @@ -1,9 +0,0 @@ -#!/bin/bash -# script to run dtrain with a task id - -pushd . &>/dev/null -cd .. -ID=$(basename $(pwd)) # attempt_... -popd &>/dev/null -./dtrain -c dtrain.ini --hstreaming $ID - diff --git a/training/dtrain/hstreaming/hadoop-streaming-job.sh b/training/dtrain/hstreaming/hadoop-streaming-job.sh deleted file mode 100755 index 92419956..00000000 --- a/training/dtrain/hstreaming/hadoop-streaming-job.sh +++ /dev/null @@ -1,30 +0,0 @@ -#!/bin/sh - -EXP=a_simple_test - -# change these vars to fit your hadoop installation -HADOOP_HOME=/usr/lib/hadoop-0.20 -JAR=contrib/streaming/hadoop-streaming-0.20.2-cdh3u1.jar -HSTREAMING="$HADOOP_HOME/bin/hadoop jar $HADOOP_HOME/$JAR" - - IN=input_on_hdfs -OUT=output_weights_on_hdfs - -# you can -reducer to NONE if you want to -# do feature selection/averaging locally (e.g. to -# keep weights of all epochs) -$HSTREAMING \ - -mapper "dtrain.sh" \ - -reducer "ruby lplp.rb l2 select_k 100000" \ - -input $IN \ - -output $OUT \ - -file dtrain.sh \ - -file lplp.rb \ - -file ../dtrain \ - -file dtrain.ini \ - -file cdec.ini \ - -file ../test/example/nc-wmt11.en.srilm.gz \ - -jobconf mapred.reduce.tasks=30 \ - -jobconf mapred.max.map.failures.percent=0 \ - -jobconf mapred.job.name="dtrain $EXP" - diff --git a/training/dtrain/hstreaming/lplp.rb b/training/dtrain/hstreaming/lplp.rb deleted file mode 100755 index f0cd58c5..00000000 --- a/training/dtrain/hstreaming/lplp.rb +++ /dev/null @@ -1,131 +0,0 @@ -# lplp.rb - -# norms -def l0(feature_column, n) - if feature_column.size >= n then return 1 else return 0 end -end - -def l1(feature_column, n=-1) - return feature_column.map { |i| i.abs }.reduce { |sum,i| sum+i } -end - -def l2(feature_column, n=-1) - return Math.sqrt feature_column.map { |i| i.abs2 }.reduce { |sum,i| sum+i } -end - -def linfty(feature_column, n=-1) - return feature_column.map { |i| i.abs }.max -end - -# stats -def median(feature_column, n) - return feature_column.concat(0.step(n-feature_column.size-1).map{|i|0}).sort[feature_column.size/2] -end - -def mean(feature_column, n) - return feature_column.reduce { |sum, i| sum+i } / n -end - -# selection -def select_k(weights, norm_fun, n, k=10000) - weights.sort{|a,b| norm_fun.call(b[1], n) <=> norm_fun.call(a[1], n)}.each { |p| - puts "#{p[0]}\t#{mean(p[1], n)}" - k -= 1 - if k == 0 then break end - } -end - -def cut(weights, norm_fun, n, epsilon=0.0001) - weights.each { |k,v| - if norm_fun.call(v, n).abs >= epsilon - puts "#{k}\t#{mean(v, n)}" - end - } -end - -# test -def _test() - puts - w = {} - w["a"] = [1, 2, 3] - w["b"] = [1, 2] - w["c"] = [66] - w["d"] = [10, 20, 30] - n = 3 - puts w.to_s - puts - puts "select_k" - puts "l0 expect ad" - select_k(w, method(:l0), n, 2) - puts "l1 expect cd" - select_k(w, method(:l1), n, 2) - puts "l2 expect c" - select_k(w, method(:l2), n, 1) - puts - puts "cut" - puts "l1 expect cd" - cut(w, method(:l1), n, 7) - puts - puts "median" - a = [1,2,3,4,5] - puts a.to_s - puts median(a, 5) - puts - puts "#{median(a, 7)} <- that's because we add missing 0s:" - puts a.concat(0.step(7-a.size-1).map{|i|0}).to_s - puts - puts "mean expect bc" - w.clear - w["a"] = [2] - w["b"] = [2.1] - w["c"] = [2.2] - cut(w, method(:mean), 1, 2.05) - exit -end -#_test() - -# actually do something -def usage() - puts "lplp.rb [n] < " - puts " l0...: norms for selection" - puts "select_k: only output top k (according to the norm of their column vector) features" - puts " cut: output features with weight >= threshold" - puts " n: if we do not have a shard count use this number for averaging" - exit -end - -if ARGV.size < 3 then usage end -norm_fun = method(ARGV[0].to_sym) -type = ARGV[1] -x = ARGV[2].to_f - -shard_count_key = "__SHARD_COUNT__" - -STDIN.set_encoding 'utf-8' -STDOUT.set_encoding 'utf-8' - -w = {} -shard_count = 0 -while line = STDIN.gets - key, val = line.split /\s+/ - if key == shard_count_key - shard_count += 1 - next - end - if w.has_key? key - w[key].push val.to_f - else - w[key] = [val.to_f] - end -end - -if ARGV.size == 4 then shard_count = ARGV[3].to_f end - -if type == 'cut' - cut(w, norm_fun, shard_count, x) -elsif type == 'select_k' - select_k(w, norm_fun, shard_count, x) -else - puts "oh oh" -end - diff --git a/training/dtrain/hstreaming/red-test b/training/dtrain/hstreaming/red-test deleted file mode 100644 index 2623d697..00000000 --- a/training/dtrain/hstreaming/red-test +++ /dev/null @@ -1,9 +0,0 @@ -a 1 -b 2 -c 3.5 -a 1 -b 2 -c 3.5 -d 1 -e 2 -__SHARD_COUNT__ 2 diff --git a/training/dtrain/lplp.rb b/training/dtrain/lplp.rb new file mode 100755 index 00000000..f0cd58c5 --- /dev/null +++ b/training/dtrain/lplp.rb @@ -0,0 +1,131 @@ +# lplp.rb + +# norms +def l0(feature_column, n) + if feature_column.size >= n then return 1 else return 0 end +end + +def l1(feature_column, n=-1) + return feature_column.map { |i| i.abs }.reduce { |sum,i| sum+i } +end + +def l2(feature_column, n=-1) + return Math.sqrt feature_column.map { |i| i.abs2 }.reduce { |sum,i| sum+i } +end + +def linfty(feature_column, n=-1) + return feature_column.map { |i| i.abs }.max +end + +# stats +def median(feature_column, n) + return feature_column.concat(0.step(n-feature_column.size-1).map{|i|0}).sort[feature_column.size/2] +end + +def mean(feature_column, n) + return feature_column.reduce { |sum, i| sum+i } / n +end + +# selection +def select_k(weights, norm_fun, n, k=10000) + weights.sort{|a,b| norm_fun.call(b[1], n) <=> norm_fun.call(a[1], n)}.each { |p| + puts "#{p[0]}\t#{mean(p[1], n)}" + k -= 1 + if k == 0 then break end + } +end + +def cut(weights, norm_fun, n, epsilon=0.0001) + weights.each { |k,v| + if norm_fun.call(v, n).abs >= epsilon + puts "#{k}\t#{mean(v, n)}" + end + } +end + +# test +def _test() + puts + w = {} + w["a"] = [1, 2, 3] + w["b"] = [1, 2] + w["c"] = [66] + w["d"] = [10, 20, 30] + n = 3 + puts w.to_s + puts + puts "select_k" + puts "l0 expect ad" + select_k(w, method(:l0), n, 2) + puts "l1 expect cd" + select_k(w, method(:l1), n, 2) + puts "l2 expect c" + select_k(w, method(:l2), n, 1) + puts + puts "cut" + puts "l1 expect cd" + cut(w, method(:l1), n, 7) + puts + puts "median" + a = [1,2,3,4,5] + puts a.to_s + puts median(a, 5) + puts + puts "#{median(a, 7)} <- that's because we add missing 0s:" + puts a.concat(0.step(7-a.size-1).map{|i|0}).to_s + puts + puts "mean expect bc" + w.clear + w["a"] = [2] + w["b"] = [2.1] + w["c"] = [2.2] + cut(w, method(:mean), 1, 2.05) + exit +end +#_test() + +# actually do something +def usage() + puts "lplp.rb [n] < " + puts " l0...: norms for selection" + puts "select_k: only output top k (according to the norm of their column vector) features" + puts " cut: output features with weight >= threshold" + puts " n: if we do not have a shard count use this number for averaging" + exit +end + +if ARGV.size < 3 then usage end +norm_fun = method(ARGV[0].to_sym) +type = ARGV[1] +x = ARGV[2].to_f + +shard_count_key = "__SHARD_COUNT__" + +STDIN.set_encoding 'utf-8' +STDOUT.set_encoding 'utf-8' + +w = {} +shard_count = 0 +while line = STDIN.gets + key, val = line.split /\s+/ + if key == shard_count_key + shard_count += 1 + next + end + if w.has_key? key + w[key].push val.to_f + else + w[key] = [val.to_f] + end +end + +if ARGV.size == 4 then shard_count = ARGV[3].to_f end + +if type == 'cut' + cut(w, norm_fun, shard_count, x) +elsif type == 'select_k' + select_k(w, norm_fun, shard_count, x) +else + puts "oh oh" +end + diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index fca9b10d..24e7f49e 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -80,7 +80,7 @@ def make_shards(input, refs, num_shards, epoch, rand) shard_refs = File.new refs_fn, 'w+' refs_fns << refs_fn 0.upto(shard_sz-1) { |i| - j = index.pop + j = index.pop shard_in.write in_lines[j] shard_refs.write refs_lines[j] } @@ -125,7 +125,7 @@ end if use_qsub qsub_str_start = "qsub -cwd -sync y -b y -j y -o work/out.#{shard}.#{epoch} -N dtrain.#{shard}.#{epoch} \"" qsub_str_end = "\"" - local_end = '' + local_end = '' else local_end = "&>work/out.#{shard}.#{epoch}" end diff --git a/training/dtrain/test/example/cdec.ini b/training/dtrain/test/example/cdec.ini index 068ebd4d..0215416d 100644 --- a/training/dtrain/test/example/cdec.ini +++ b/training/dtrain/test/example/cdec.ini @@ -2,7 +2,7 @@ formalism=scfg add_pass_through_rules=true scfg_max_span_limit=15 intersection_strategy=cube_pruning -cubepruning_pop_limit=30 +cubepruning_pop_limit=200 feature_function=WordPenalty feature_function=KLanguageModel ./nc-wmt11.en.srilm.gz # all currently working feature functions for translation: -- cgit v1.2.3 From 2a48d73eb794fdd736d1df035c8a31af887cde0a Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Fri, 15 Mar 2013 11:31:18 +0100 Subject: overhauled ruby scripts and examples --- training/dtrain/dtrain.cc | 2 - training/dtrain/examples/parallelized/README | 5 + training/dtrain/examples/parallelized/cdec.ini | 22 + training/dtrain/examples/parallelized/dtrain.ini | 16 + .../examples/parallelized/grammar/grammar.out.0.gz | Bin 0 -> 8318 bytes .../examples/parallelized/grammar/grammar.out.1.gz | Bin 0 -> 358560 bytes .../examples/parallelized/grammar/grammar.out.2.gz | Bin 0 -> 1014466 bytes .../examples/parallelized/grammar/grammar.out.3.gz | Bin 0 -> 391811 bytes .../examples/parallelized/grammar/grammar.out.4.gz | Bin 0 -> 149590 bytes .../examples/parallelized/grammar/grammar.out.5.gz | Bin 0 -> 537024 bytes .../examples/parallelized/grammar/grammar.out.6.gz | Bin 0 -> 291286 bytes .../examples/parallelized/grammar/grammar.out.7.gz | Bin 0 -> 1038140 bytes .../examples/parallelized/grammar/grammar.out.8.gz | Bin 0 -> 419889 bytes .../examples/parallelized/grammar/grammar.out.9.gz | Bin 0 -> 409140 bytes training/dtrain/examples/parallelized/in | 10 + training/dtrain/examples/parallelized/refs | 10 + training/dtrain/examples/parallelized/work/out.0.0 | 61 + training/dtrain/examples/parallelized/work/out.0.1 | 62 + training/dtrain/examples/parallelized/work/out.1.0 | 61 + training/dtrain/examples/parallelized/work/out.1.1 | 62 + .../dtrain/examples/parallelized/work/shard.0.0.in | 5 + .../examples/parallelized/work/shard.0.0.refs | 5 + .../dtrain/examples/parallelized/work/shard.1.0.in | 5 + .../examples/parallelized/work/shard.1.0.refs | 5 + .../dtrain/examples/parallelized/work/weights.0 | 12 + .../dtrain/examples/parallelized/work/weights.0.0 | 12 + .../dtrain/examples/parallelized/work/weights.0.1 | 12 + .../dtrain/examples/parallelized/work/weights.1 | 12 + .../dtrain/examples/parallelized/work/weights.1.0 | 11 + .../dtrain/examples/parallelized/work/weights.1.1 | 12 + training/dtrain/examples/standard/README | 2 + training/dtrain/examples/standard/cdec.ini | 26 + training/dtrain/examples/standard/dtrain.ini | 24 + training/dtrain/examples/standard/expected-output | 1206 ++++++++++++++++++++ training/dtrain/examples/standard/nc-wmt11.de.gz | Bin 0 -> 58324 bytes training/dtrain/examples/standard/nc-wmt11.en.gz | Bin 0 -> 49600 bytes .../dtrain/examples/standard/nc-wmt11.en.srilm.gz | Bin 0 -> 16017291 bytes .../dtrain/examples/standard/nc-wmt11.grammar.gz | Bin 0 -> 1399924 bytes training/dtrain/examples/toy/cdec.ini | 3 + training/dtrain/examples/toy/dtrain.ini | 13 + training/dtrain/examples/toy/expected-output | 77 ++ training/dtrain/examples/toy/grammar.gz | Bin 0 -> 219 bytes training/dtrain/examples/toy/src | 2 + training/dtrain/examples/toy/tgt | 2 + training/dtrain/lplp.rb | 18 +- training/dtrain/parallelize.rb | 26 +- training/dtrain/test/example/README | 8 - training/dtrain/test/example/cdec.ini | 25 - training/dtrain/test/example/dtrain.ini | 22 - training/dtrain/test/example/expected-output | 89 -- training/dtrain/test/parallelize/README | 5 - training/dtrain/test/parallelize/cdec.ini | 22 - training/dtrain/test/parallelize/dtrain.ini | 15 - .../dtrain/test/parallelize/g/grammar.out.0.gz | Bin 8318 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.1.gz | Bin 358560 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.2.gz | Bin 1014466 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.3.gz | Bin 391811 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.4.gz | Bin 149590 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.5.gz | Bin 537024 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.6.gz | Bin 291286 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.7.gz | Bin 1038140 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.8.gz | Bin 419889 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.9.gz | Bin 409140 -> 0 bytes training/dtrain/test/parallelize/in | 10 - training/dtrain/test/parallelize/refs | 10 - training/dtrain/test/toy/cdec.ini | 2 - training/dtrain/test/toy/dtrain.ini | 12 - training/dtrain/test/toy/input | 2 - 68 files changed, 1771 insertions(+), 252 deletions(-) create mode 100644 training/dtrain/examples/parallelized/README create mode 100644 training/dtrain/examples/parallelized/cdec.ini create mode 100644 training/dtrain/examples/parallelized/dtrain.ini create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.0.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.1.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.2.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.3.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.4.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.5.gz create mode 100644 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@@ main(int argc, char** argv) time_t start, end; time(&start); - igzstream grammar_buf_in; - if (t > 0) grammar_buf_in.open(grammar_buf_fn.c_str()); score_t score_sum = 0.; score_t model_sum(0); unsigned ii = 0, rank_errors = 0, margin_violations = 0, npairs = 0, f_count = 0, list_sz = 0; diff --git a/training/dtrain/examples/parallelized/README b/training/dtrain/examples/parallelized/README new file mode 100644 index 00000000..89715105 --- /dev/null +++ b/training/dtrain/examples/parallelized/README @@ -0,0 +1,5 @@ +run for example + ../../parallelize.rb ./dtrain.ini 4 false 2 2 ./in ./refs + +final weights will be in the file work/weights.3 + diff --git a/training/dtrain/examples/parallelized/cdec.ini b/training/dtrain/examples/parallelized/cdec.ini new file mode 100644 index 00000000..e43ba1c4 --- /dev/null +++ b/training/dtrain/examples/parallelized/cdec.ini @@ -0,0 +1,22 @@ +formalism=scfg +add_pass_through_rules=true +intersection_strategy=cube_pruning +cubepruning_pop_limit=200 +scfg_max_span_limit=15 +feature_function=WordPenalty +feature_function=KLanguageModel ../example/nc-wmt11.en.srilm.gz +#feature_function=ArityPenalty +#feature_function=CMR2008ReorderingFeatures +#feature_function=Dwarf +#feature_function=InputIndicator +#feature_function=LexNullJump +#feature_function=NewJump +#feature_function=NgramFeatures +#feature_function=NonLatinCount +#feature_function=OutputIndicator +#feature_function=RuleIdentityFeatures +#feature_function=RuleNgramFeatures +#feature_function=RuleShape +#feature_function=SourceSpanSizeFeatures +#feature_function=SourceWordPenalty +#feature_function=SpanFeatures diff --git a/training/dtrain/examples/parallelized/dtrain.ini b/training/dtrain/examples/parallelized/dtrain.ini new file mode 100644 index 00000000..f19ef891 --- /dev/null +++ b/training/dtrain/examples/parallelized/dtrain.ini @@ -0,0 +1,16 @@ +k=100 +N=4 +learning_rate=0.0001 +gamma=0 +loss_margin=1.0 +epochs=1 +scorer=stupid_bleu +sample_from=kbest +filter=uniq +pair_sampling=XYX +hi_lo=0.1 +select_weights=last +print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough +# newer version of the grammar extractor use different feature names: +#print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough +decoder_config=cdec.ini diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.0.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.0.gz new file mode 100644 index 00000000..1e28a24b Binary files /dev/null and b/training/dtrain/examples/parallelized/grammar/grammar.out.0.gz differ diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.1.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.1.gz new file mode 100644 index 00000000..372f5675 Binary files /dev/null and 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mode 100644 index 00000000..ebf6bd0c Binary files /dev/null and b/training/dtrain/examples/parallelized/grammar/grammar.out.8.gz differ diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.9.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.9.gz new file mode 100644 index 00000000..c1791059 Binary files /dev/null and b/training/dtrain/examples/parallelized/grammar/grammar.out.9.gz differ diff --git a/training/dtrain/examples/parallelized/in b/training/dtrain/examples/parallelized/in new file mode 100644 index 00000000..51d01fe7 --- /dev/null +++ b/training/dtrain/examples/parallelized/in @@ -0,0 +1,10 @@ +europas nach rassen geteiltes haus +ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . +der lega nord in italien , der vlaams block in den niederlanden , die anhänger von le pens nationaler front in frankreich , sind beispiele für parteien oder bewegungen , die sich um das gemeinsame thema : ablehnung der zuwanderung gebildet haben und um forderung nach einer vereinfachten politik , um sie zu regeln . +während individuen wie jörg haidar und jean @-@ marie le pen kommen und ( leider nicht zu bald ) wieder gehen mögen , wird die rassenfrage aus der europäischer politik nicht so bald verschwinden . +eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . +die großen parteien der rechten und der linken mitte haben sich dem problem gestellt , in dem sie den kopf in den sand gesteckt und allen aussichten zuwider gehofft haben , es möge bald verschwinden . +das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . +die beziehungen zwischen den rassen standen in den usa über jahrzehnte - und tun das noch heute - im zentrum der politischen debatte . das ging so weit , daß rassentrennung genauso wichtig wie das einkommen wurde , - wenn nicht sogar noch wichtiger - um politische zuneigungen und einstellungen zu bestimmen . +der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . +genau das haben in den usa eine große anzahl an forschungsvorhaben in wirtschaft , soziologie , psychologie und politikwissenschaft geleistet . diese forschungen zeigten , daß menschen unterschiedlicher rasse einander deutlich weniger vertrauen . diff --git a/training/dtrain/examples/parallelized/refs b/training/dtrain/examples/parallelized/refs new file mode 100644 index 00000000..632e27b0 --- /dev/null +++ b/training/dtrain/examples/parallelized/refs @@ -0,0 +1,10 @@ +europe 's divided racial house +a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . +the lega nord in italy , the vlaams blok in the netherlands , the supporters of le pen 's national front in france , are all examples of parties or movements formed on the common theme of aversion to immigrants and promotion of simplistic policies to control them . +while individuals like jorg haidar and jean @-@ marie le pen may come and ( never to soon ) go , the race question will not disappear from european politics anytime soon . +an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . +mainstream parties of the center left and center right have confronted this prospect by hiding their heads in the ground , hoping against hope that the problem will disappear . +it will not , as america 's racial history clearly shows . +race relations in the us have been for decades - and remain - at the center of political debate , to the point that racial cleavages are as important as income , if not more , as determinants of political preferences and attitudes . +the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . +this is precisely what a large amount of research in economics , sociology , psychology and political science has done for the us . diff --git a/training/dtrain/examples/parallelized/work/out.0.0 b/training/dtrain/examples/parallelized/work/out.0.0 new file mode 100644 index 00000000..7a00ed0f --- /dev/null +++ b/training/dtrain/examples/parallelized/work/out.0.0 @@ -0,0 +1,61 @@ + cdec cfg 'cdec.ini' +Loading the LM will be faster if you build a binary file. +Reading ../example/nc-wmt11.en.srilm.gz +----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100 +**************************************************************************************************** +Seeding random number sequence to 3121929377 + +dtrain +Parameters: + k 100 + N 4 + T 1 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 0.0001 + gamma 0 + loss margin 1 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'last' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'cdec.ini' + input 'work/shard.0.0.in' + refs 'work/shard.0.0.refs' + output 'work/weights.0.0' +(a dot represents 10 inputs) +Iteration #1 of 1. + 5 +WEIGHTS + Glue = +0.2663 + WordPenalty = -0.0079042 + LanguageModel = +0.44782 + LanguageModel_OOV = -0.0401 + PhraseModel_0 = -0.193 + PhraseModel_1 = +0.71321 + PhraseModel_2 = +0.85196 + PhraseModel_3 = -0.43986 + PhraseModel_4 = -0.44803 + PhraseModel_5 = -0.0538 + PhraseModel_6 = -0.1788 + PassThrough = -0.1477 + --- + 1best avg score: 0.17521 (+0.17521) + 1best avg model score: 21.556 (+21.556) + avg # pairs: 1671.2 + avg # rank err: 1118.6 + avg # margin viol: 552.6 + non0 feature count: 12 + avg list sz: 100 + avg f count: 11.32 +(time 0.37 min, 4.4 s/S) + +Writing weights file to 'work/weights.0.0' ... +done + +--- +Best iteration: 1 [SCORE 'stupid_bleu'=0.17521]. +This took 0.36667 min. diff --git a/training/dtrain/examples/parallelized/work/out.0.1 b/training/dtrain/examples/parallelized/work/out.0.1 new file mode 100644 index 00000000..e2bd6649 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/out.0.1 @@ -0,0 +1,62 @@ + cdec cfg 'cdec.ini' +Loading the LM will be faster if you build a binary file. +Reading ../example/nc-wmt11.en.srilm.gz +----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100 +**************************************************************************************************** +Seeding random number sequence to 2767202922 + +dtrain +Parameters: + k 100 + N 4 + T 1 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 0.0001 + gamma 0 + loss margin 1 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'last' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'cdec.ini' + input 'work/shard.0.0.in' + refs 'work/shard.0.0.refs' + output 'work/weights.0.1' + weights in 'work/weights.0' +(a dot represents 10 inputs) +Iteration #1 of 1. + 5 +WEIGHTS + Glue = -0.2699 + WordPenalty = +0.080605 + LanguageModel = -0.026572 + LanguageModel_OOV = -0.30025 + PhraseModel_0 = -0.32076 + PhraseModel_1 = +0.67451 + PhraseModel_2 = +0.92 + PhraseModel_3 = -0.36402 + PhraseModel_4 = -0.592 + PhraseModel_5 = -0.0269 + PhraseModel_6 = -0.28755 + PassThrough = -0.33285 + --- + 1best avg score: 0.26638 (+0.26638) + 1best avg model score: 53.197 (+53.197) + avg # pairs: 2028.6 + avg # rank err: 998.2 + avg # margin viol: 918.8 + non0 feature count: 12 + avg list sz: 100 + avg f count: 10.496 +(time 0.32 min, 3.8 s/S) + +Writing weights file to 'work/weights.0.1' ... +done + +--- +Best iteration: 1 [SCORE 'stupid_bleu'=0.26638]. +This took 0.31667 min. diff --git a/training/dtrain/examples/parallelized/work/out.1.0 b/training/dtrain/examples/parallelized/work/out.1.0 new file mode 100644 index 00000000..6e790e38 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/out.1.0 @@ -0,0 +1,61 @@ + cdec cfg 'cdec.ini' +Loading the LM will be faster if you build a binary file. +Reading ../example/nc-wmt11.en.srilm.gz +----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100 +**************************************************************************************************** +Seeding random number sequence to 1432415010 + +dtrain +Parameters: + k 100 + N 4 + T 1 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 0.0001 + gamma 0 + loss margin 1 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'last' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'cdec.ini' + input 'work/shard.1.0.in' + refs 'work/shard.1.0.refs' + output 'work/weights.1.0' +(a dot represents 10 inputs) +Iteration #1 of 1. + 5 +WEIGHTS + Glue = -0.3815 + WordPenalty = +0.20064 + LanguageModel = +0.95304 + LanguageModel_OOV = -0.264 + PhraseModel_0 = -0.22362 + PhraseModel_1 = +0.12254 + PhraseModel_2 = +0.26328 + PhraseModel_3 = +0.38018 + PhraseModel_4 = -0.48654 + PhraseModel_5 = +0 + PhraseModel_6 = -0.3645 + PassThrough = -0.2216 + --- + 1best avg score: 0.10863 (+0.10863) + 1best avg model score: -4.9841 (-4.9841) + avg # pairs: 1345.4 + avg # rank err: 822.4 + avg # margin viol: 501 + non0 feature count: 11 + avg list sz: 100 + avg f count: 11.814 +(time 0.45 min, 5.4 s/S) + +Writing weights file to 'work/weights.1.0' ... +done + +--- +Best iteration: 1 [SCORE 'stupid_bleu'=0.10863]. +This took 0.45 min. diff --git a/training/dtrain/examples/parallelized/work/out.1.1 b/training/dtrain/examples/parallelized/work/out.1.1 new file mode 100644 index 00000000..0b984761 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/out.1.1 @@ -0,0 +1,62 @@ + cdec cfg 'cdec.ini' +Loading the LM will be faster if you build a binary file. +Reading ../example/nc-wmt11.en.srilm.gz +----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100 +**************************************************************************************************** +Seeding random number sequence to 1771918374 + +dtrain +Parameters: + k 100 + N 4 + T 1 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 0.0001 + gamma 0 + loss margin 1 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'last' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'cdec.ini' + input 'work/shard.1.0.in' + refs 'work/shard.1.0.refs' + output 'work/weights.1.1' + weights in 'work/weights.0' +(a dot represents 10 inputs) +Iteration #1 of 1. + 5 +WEIGHTS + Glue = -0.3178 + WordPenalty = +0.11092 + LanguageModel = +0.17269 + LanguageModel_OOV = -0.13485 + PhraseModel_0 = -0.45371 + PhraseModel_1 = +0.38789 + PhraseModel_2 = +0.75311 + PhraseModel_3 = -0.38163 + PhraseModel_4 = -0.58817 + PhraseModel_5 = -0.0269 + PhraseModel_6 = -0.27315 + PassThrough = -0.16745 + --- + 1best avg score: 0.13169 (+0.13169) + 1best avg model score: 24.226 (+24.226) + avg # pairs: 1951.2 + avg # rank err: 985.4 + avg # margin viol: 951 + non0 feature count: 12 + avg list sz: 100 + avg f count: 11.224 +(time 0.42 min, 5 s/S) + +Writing weights file to 'work/weights.1.1' ... +done + +--- +Best iteration: 1 [SCORE 'stupid_bleu'=0.13169]. +This took 0.41667 min. diff --git a/training/dtrain/examples/parallelized/work/shard.0.0.in b/training/dtrain/examples/parallelized/work/shard.0.0.in new file mode 100644 index 00000000..92f9c78e --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.0.0.in @@ -0,0 +1,5 @@ +europas nach rassen geteiltes haus +ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . +der lega nord in italien , der vlaams block in den niederlanden , die anhänger von le pens nationaler front in frankreich , sind beispiele für parteien oder bewegungen , die sich um das gemeinsame thema : ablehnung der zuwanderung gebildet haben und um forderung nach einer vereinfachten politik , um sie zu regeln . +während individuen wie jörg haidar und jean @-@ marie le pen kommen und ( leider nicht zu bald ) wieder gehen mögen , wird die rassenfrage aus der europäischer politik nicht so bald verschwinden . +eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . diff --git a/training/dtrain/examples/parallelized/work/shard.0.0.refs b/training/dtrain/examples/parallelized/work/shard.0.0.refs new file mode 100644 index 00000000..bef68fee --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.0.0.refs @@ -0,0 +1,5 @@ +europe 's divided racial house +a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . +the lega nord in italy , the vlaams blok in the netherlands , the supporters of le pen 's national front in france , are all examples of parties or movements formed on the common theme of aversion to immigrants and promotion of simplistic policies to control them . +while individuals like jorg haidar and jean @-@ marie le pen may come and ( never to soon ) go , the race question will not disappear from european politics anytime soon . +an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . diff --git a/training/dtrain/examples/parallelized/work/shard.1.0.in b/training/dtrain/examples/parallelized/work/shard.1.0.in new file mode 100644 index 00000000..b7695ce7 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.1.0.in @@ -0,0 +1,5 @@ +die großen parteien der rechten und der linken mitte haben sich dem problem gestellt , in dem sie den kopf in den sand gesteckt und allen aussichten zuwider gehofft haben , es möge bald verschwinden . +das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . +die beziehungen zwischen den rassen standen in den usa über jahrzehnte - und tun das noch heute - im zentrum der politischen debatte . das ging so weit , daß rassentrennung genauso wichtig wie das einkommen wurde , - wenn nicht sogar noch wichtiger - um politische zuneigungen und einstellungen zu bestimmen . +der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . +genau das haben in den usa eine große anzahl an forschungsvorhaben in wirtschaft , soziologie , psychologie und politikwissenschaft geleistet . diese forschungen zeigten , daß menschen unterschiedlicher rasse einander deutlich weniger vertrauen . diff --git a/training/dtrain/examples/parallelized/work/shard.1.0.refs b/training/dtrain/examples/parallelized/work/shard.1.0.refs new file mode 100644 index 00000000..6076f6d5 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.1.0.refs @@ -0,0 +1,5 @@ +mainstream parties of the center left and center right have confronted this prospect by hiding their heads in the ground , hoping against hope that the problem will disappear . +it will not , as america 's racial history clearly shows . +race relations in the us have been for decades - and remain - at the center of political debate , to the point that racial cleavages are as important as income , if not more , as determinants of political preferences and attitudes . +the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . +this is precisely what a large amount of research in economics , sociology , psychology and political science has done for the us . diff --git a/training/dtrain/examples/parallelized/work/weights.0 b/training/dtrain/examples/parallelized/work/weights.0 new file mode 100644 index 00000000..ddd595a8 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.0 @@ -0,0 +1,12 @@ +LanguageModel 0.7004298992212881 +PhraseModel_2 0.5576194336478857 +PhraseModel_1 0.41787318415343155 +PhraseModel_4 -0.46728502545635164 +PhraseModel_3 -0.029839521598455515 +Glue -0.05760000000000068 +PhraseModel_6 -0.2716499999999978 +PhraseModel_0 -0.20831031065605327 +LanguageModel_OOV -0.15205000000000077 +PassThrough -0.1846500000000006 +WordPenalty 0.09636994553433414 +PhraseModel_5 -0.026900000000000257 diff --git a/training/dtrain/examples/parallelized/work/weights.0.0 b/training/dtrain/examples/parallelized/work/weights.0.0 new file mode 100644 index 00000000..c9370b18 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.0.0 @@ -0,0 +1,12 @@ +WordPenalty -0.0079041595706392243 +LanguageModel 0.44781580828279532 +LanguageModel_OOV -0.04010000000000042 +Glue 0.26629999999999948 +PhraseModel_0 -0.19299677809125185 +PhraseModel_1 0.71321026861732773 +PhraseModel_2 0.85195540993310537 +PhraseModel_3 -0.43986310822842656 +PhraseModel_4 -0.44802855630415955 +PhraseModel_5 -0.053800000000000514 +PhraseModel_6 -0.17879999999999835 +PassThrough -0.14770000000000036 diff --git a/training/dtrain/examples/parallelized/work/weights.0.1 b/training/dtrain/examples/parallelized/work/weights.0.1 new file mode 100644 index 00000000..8fad3de8 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.0.1 @@ -0,0 +1,12 @@ +WordPenalty 0.080605055841244472 +LanguageModel -0.026571720531022844 +LanguageModel_OOV -0.30024999999999141 +Glue -0.26989999999999842 +PhraseModel_2 0.92000295209089566 +PhraseModel_1 0.67450748692470841 +PhraseModel_4 -0.5920000014976784 +PhraseModel_3 -0.36402437203127397 +PhraseModel_6 -0.28754999999999603 +PhraseModel_0 -0.32076244202907672 +PassThrough -0.33284999999999004 +PhraseModel_5 -0.026900000000000257 diff --git a/training/dtrain/examples/parallelized/work/weights.1 b/training/dtrain/examples/parallelized/work/weights.1 new file mode 100644 index 00000000..03058a16 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.1 @@ -0,0 +1,12 @@ +PhraseModel_2 0.8365578543552836 +PhraseModel_4 -0.5900840266009169 +PhraseModel_1 0.5312000609786991 +PhraseModel_0 -0.3872342271319619 +PhraseModel_3 -0.3728279676912084 +Glue -0.2938500000000036 +PhraseModel_6 -0.2803499999999967 +PassThrough -0.25014999999999626 +LanguageModel_OOV -0.21754999999999702 +LanguageModel 0.07306061161169894 +WordPenalty 0.09576193325966899 +PhraseModel_5 -0.026900000000000257 diff --git a/training/dtrain/examples/parallelized/work/weights.1.0 b/training/dtrain/examples/parallelized/work/weights.1.0 new file mode 100644 index 00000000..6a6a65c1 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.1.0 @@ -0,0 +1,11 @@ +WordPenalty 0.20064405063930751 +LanguageModel 0.9530439901597807 +LanguageModel_OOV -0.26400000000000112 +Glue -0.38150000000000084 +PhraseModel_0 -0.22362384322085468 +PhraseModel_1 0.12253609968953538 +PhraseModel_2 0.26328345736266612 +PhraseModel_3 0.38018406503151553 +PhraseModel_4 -0.48654149460854373 +PhraseModel_6 -0.36449999999999722 +PassThrough -0.22160000000000085 diff --git a/training/dtrain/examples/parallelized/work/weights.1.1 b/training/dtrain/examples/parallelized/work/weights.1.1 new file mode 100644 index 00000000..f56ea4a2 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.1.1 @@ -0,0 +1,12 @@ +WordPenalty 0.1109188106780935 +LanguageModel 0.17269294375442074 +LanguageModel_OOV -0.13485000000000266 +Glue -0.3178000000000088 +PhraseModel_2 0.75311275661967159 +PhraseModel_1 0.38789263503268989 +PhraseModel_4 -0.58816805170415531 +PhraseModel_3 -0.38163156335114284 +PhraseModel_6 -0.27314999999999739 +PhraseModel_0 -0.45370601223484697 +PassThrough -0.16745000000000249 +PhraseModel_5 -0.026900000000000257 diff --git a/training/dtrain/examples/standard/README b/training/dtrain/examples/standard/README new file mode 100644 index 00000000..ce37d31a --- /dev/null +++ b/training/dtrain/examples/standard/README @@ -0,0 +1,2 @@ +Call `dtrain` from this folder with ../../dtrain -c dtrain.ini . + diff --git a/training/dtrain/examples/standard/cdec.ini b/training/dtrain/examples/standard/cdec.ini new file mode 100644 index 00000000..e1edc68d --- /dev/null +++ b/training/dtrain/examples/standard/cdec.ini @@ -0,0 +1,26 @@ +formalism=scfg +add_pass_through_rules=true +scfg_max_span_limit=15 +intersection_strategy=cube_pruning +cubepruning_pop_limit=200 +grammar=nc-wmt11.grammar.gz +feature_function=WordPenalty +feature_function=KLanguageModel ./nc-wmt11.en.srilm.gz +# all currently working feature functions for translation: +# (with those features active that were used in the ACL paper) +#feature_function=ArityPenalty +#feature_function=CMR2008ReorderingFeatures +#feature_function=Dwarf +#feature_function=InputIndicator +#feature_function=LexNullJump +#feature_function=NewJump +#feature_function=NgramFeatures +#feature_function=NonLatinCount +#feature_function=OutputIndicator +feature_function=RuleIdentityFeatures +feature_function=RuleSourceBigramFeatures +feature_function=RuleTargetBigramFeatures +feature_function=RuleShape +#feature_function=SourceSpanSizeFeatures +#feature_function=SourceWordPenalty +#feature_function=SpanFeatures diff --git a/training/dtrain/examples/standard/dtrain.ini b/training/dtrain/examples/standard/dtrain.ini new file mode 100644 index 00000000..a05e9c29 --- /dev/null +++ b/training/dtrain/examples/standard/dtrain.ini @@ -0,0 +1,24 @@ +input=./nc-wmt11.de.gz +refs=./nc-wmt11.en.gz +output=- # a weights file (add .gz for gzip compression) or STDOUT '-' +select_weights=avg # output average (over epochs) weight vector +decoder_config=./cdec.ini # config for cdec +# weights for these features will be printed on each iteration +print_weights= EgivenFCoherent SampleCountF CountEF MaxLexFgivenE MaxLexEgivenF IsSingletonF IsSingletonFE Glue WordPenalty PassThrough LanguageModel LanguageModel_OOV +# newer version of the grammar extractor use different feature names: +#print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough +stop_after=10 # stop epoch after 10 inputs + +# interesting stuff +epochs=2 # run over input 2 times +k=100 # use 100best lists +N=4 # optimize (approx) BLEU4 +scorer=stupid_bleu # use 'stupid' BLEU+1 +learning_rate=1.0 # learning rate, don't care if gamma=0 (perceptron) +gamma=0 # use SVM reg +sample_from=kbest # use kbest lists (as opposed to forest) +filter=uniq # only unique entries in kbest (surface form) +pair_sampling=XYX # +hi_lo=0.1 # 10 vs 80 vs 10 and 80 vs 10 here +pair_threshold=0 # minimum distance in BLEU (here: > 0) +loss_margin=0 diff --git a/training/dtrain/examples/standard/expected-output b/training/dtrain/examples/standard/expected-output new file mode 100644 index 00000000..8d72f4c3 --- /dev/null +++ b/training/dtrain/examples/standard/expected-output @@ -0,0 +1,1206 @@ + cdec cfg './cdec.ini' +Loading the LM will be faster if you build a binary file. +Reading ./nc-wmt11.en.srilm.gz +----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100 +**************************************************************************************************** + Example feature: Shape_S00000_T00000 +Seeding random number sequence to 1511823303 + +dtrain +Parameters: + k 100 + N 4 + T 2 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 1 + gamma 0 + loss margin 0 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'avg' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg './cdec.ini' + input './nc-wmt11.de.gz' + refs './nc-wmt11.en.gz' + output '-' + stop_after 10 +(a dot represents 10 inputs) +Iteration #1 of 2. + . 10 +Stopping after 10 input sentences. +WEIGHTS + EgivenFCoherent = +0 + SampleCountF = +0 + CountEF = +0 + MaxLexFgivenE = +0 + MaxLexEgivenF = +0 + IsSingletonF = +0 + IsSingletonFE = +0 + Glue = -576 + WordPenalty = +417.79 + PassThrough = -1455 + LanguageModel = +5117.5 + LanguageModel_OOV = -1307 + --- + 1best avg score: 0.27697 (+0.27697) + 1best avg model score: -47918 (-47918) + avg # pairs: 1129.8 + avg # rank err: 581.9 + avg # margin viol: 0 + non0 feature count: 703 + avg list sz: 90.9 + avg f count: 100.09 +(time 0.33 min, 2 s/S) + +Iteration #2 of 2. + . 10 +WEIGHTS + EgivenFCoherent = +0 + SampleCountF = +0 + CountEF = +0 + MaxLexFgivenE = +0 + MaxLexEgivenF = +0 + IsSingletonF = +0 + IsSingletonFE = +0 + Glue = -622 + WordPenalty = +898.56 + PassThrough = -2578 + LanguageModel = +8066.2 + LanguageModel_OOV = -2590 + --- + 1best avg score: 0.37119 (+0.094226) + 1best avg model score: -1.3174e+05 (-83822) + avg # pairs: 1214.9 + avg # rank err: 584.1 + avg # margin viol: 0 + non0 feature count: 1115 + avg list sz: 91.3 + avg f count: 90.755 +(time 0.27 min, 1.6 s/S) + +Writing weights file to '-' ... +R:X:NX_sein:N1_its 61.5 +WordPenalty 658.17328732437022 +LanguageModel 6591.8747593425214 +LanguageModel_OOV -1948.5 +R:X:das_NX:this_N1 12 +R:X:NX_sein_NX:N1_from_ever_being_able_to_N2 30 +R:X:NX_bemühen:N1_effort 2.5 +RBS:X_bemühen 2.5 +R:X:sich:sich -17.5 +RBT:_sich -17.5 +RBT:sich_ -17.5 +RBS:sich_X 17.5 +RBS:_als 147 +RBS:als_ -59 +Shape_S10000_T10000 -1711.5 +RBT:_when 84 +R:X:zum_NX:as_N1 -134 +RBS:_zum -30 +R:X:als_NX:as_N1 63 +R:X:zum_NX:'s_N1 33 +R:X:zum_NX:the_N1 24 +RBS:X_sich -12 +R:X:zum_NX:to_N1 -36 +R:X:zum_NX:with_the_N1 83 +R:X:NX_zum:N1_the -66 +R:X:NX_zum:N1_to 66 +R:X:als_NX:when_N1 84 +RBS:als_das 59 +RBS:X_das -104 +R:X:NX_das:N1_a 28.5 +R:X:er_sich_NX:he_N1 86.5 +RBS:er_sich 29.5 +R:X:NX_das:N1_it -6 +R:X:er_sich_NX:him_N1 -57 +RBT:_declared -488 +R:X:NX_das:N1_that -5 +RBT:declared_ -8 +R:X:NX_das:N1_the -57 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+R:X:ein_NX:a_N1 -93 +RBS:X_unabhängige -127 +R:X:ein_NX:one_N1 -15 +R:X:NX_unabhängige_NX:N1_independent_N2 -90 +R:X:ein_NX:-_N1 -11.5 +R:X:NX_ein_NX:an_N1_N2 -6 +R:X:NX_ein_NX:be_transformed_N1_N2 -22 +RBS:X_, -3.5 +RBS:september_2001 14.5 +RBT:,_2001 14.5 +R:X:NX_,:to_N1 68 +R:X:NX_,:N1__ 1 +R:X:NX_,:N1_-- -172.5 +R:X:11_._september_2001_NX:september_11_,_2001_N1 -13.5 +R:X:die_NX_und_NX:the_N1_N2 -10 +R:X:NX_,:N1_for -127.5 +R:X:NX_,:N1_in -13.5 +R:X:NX_,:N1_of -55 +R:X:NX_,:N1_on 257.5 +R:X:NX_,:N1_out -58 +RBS:am_11 13.5 +R:X:die_NX_justiz_NX_die:the_N1_judiciary_N2 -57 +R:X:NX_,:N1_refuses_to -232.5 +R:X:die_NX_und_die:the_N1_and 148 +R:X:die_NX_und_die:the_N1_and_the -2.5 +RBT:the_september 13.5 +R:X:die_NX_die_NX:the_N1_N2 -3 +R:X:am_11_._september_NX:the_september_11_,_N1 -14.5 +R:X:die_NX_und_die_NX:the_N1_and_N2 -32 +RBS:zu_ 672 +R:X:NX_,_NX:N1_,_N2 -78 +R:X:NX_,_NX:N1_N2_, 80 +R:X:am_11_._september_2001:the_september_11_,_2001 28 +R:X:zu:for -5 +R:X:zu:in -7 +R:X:zu:to 23 +R:X:taliban:taliban -251.5 +RBS:_taliban -223.5 +RBS:taliban_ -157.5 +R:X:zu:with -6 +R:X:verzweifelten:desperate 28.5 +RBT:_taliban -205.5 +RBT:_desperate 28.5 +RBT:taliban_ -107 +RBT:desperate_ 28.5 +R:X:taliban_NX:taliban_N1 28 +R:X:verzweifelten:verzweifelten -28.5 +RBS:taliban_X 157.5 +R:X:NX_zu:to_N1 -229 +RBT:_verzweifelten -28.5 +R:X:den_taliban:the_taliban 144.5 +RBT:verzweifelten_ -28.5 +RBS:den_taliban 223.5 +RBT:the_taliban 144.5 +R:X:NX_zu:N1_for -152 +R:X:NX_zu:N1_in -6 +R:X:NX_zu:N1_is 251 +R:X:NX_zu:N1_of -49.5 +RBS:_dem 22 +RBT:_its 458 +RBT:its_ 337 +R:X:NX_den_taliban:N1_taliban -50.5 +R:X:NX_den_taliban_NX:N1_taliban_N2 -2.5 +R:X:NX_den_taliban_NX:N2_N1_taliban 132 +R:X:erklärte:declared -8 +RBS:_erklärte -185.5 +RBS:erklärte_ -124.5 +RBT:_declaring -9 +R:X:erklärte:erklärte -116.5 +RBT:_erklärte -116.5 +RBT:erklärte_ -116.5 +R:X:erklärte_NX:declared_N1 -52 +RBS:erklärte_X -61 +RBS:jener_ -62.5 +R:X:erklärte_NX:declaring_N1 -9 +RBS:erklärte_, 185.5 +R:X:NX_jener:N1_of -62.5 +R:X:dem_NX:the_N1 22 +R:X:verkaufen:sell -153 +RBS:_verkaufen -153 +RBS:verkaufen_ -140.5 +RBT:sell_ -153 +RBS:bereit_ 86 +RBS:zu_verkaufen 153 +RBS:_bemühen -2.5 +R:X:bereit:bereit 86 +RBT:_bereit 86 +RBT:bereit_ 86 +R:X:bereit_NX:ready_N1 -31 +RBS:bereit_X -86 +R:X:bereit_NX:N1_ready -55 +RBS:X_zum 30 +R:X:bemühen:bemühen -2.5 +R:X:NX_erklärte_,:N1_, 110 +RBT:_bemühen -2.5 +RBS:X_erklärte 185.5 +RBT:bemühen_ -2.5 +R:X:NX_erklärte_,_NX:N1_,_N2 75.5 +RBS:in_X 22 +RBS:_sich -17.5 +R:X:NX_zu_verkaufen:sell_N1 12.5 +RBS:sich_ -17.5 +R:X:NX_zum_NX:N2_to_further_N1 30 +RBS:_das 45 +RBS:das_ 2.5 +RBT:to_further 30 +RBT:_it -381 +RBT:it_ 3 +RBT:_so 172.5 +RBT:so_ -74.5 +RBT:_this 9.5 +RBT:this_ -11.5 +RBS:X_dem -22 +R:X:das_NX:a_growing_N1 77 +RBS:das_X -2.5 +RBT:a_growing -41 +R:X:das_NX:be_N1 169 +R:X:das_NX:its_N1 -95 +R:X:das_NX:so_N1 -38 +RBS:X_sein 91.5 +R:X:das_NX:the_N1 -80 +done + +--- +Best iteration: 2 [SCORE 'stupid_bleu'=0.37119]. +This took 0.6 min. diff --git a/training/dtrain/examples/standard/nc-wmt11.de.gz b/training/dtrain/examples/standard/nc-wmt11.de.gz new file mode 100644 index 00000000..0741fd92 Binary files /dev/null and b/training/dtrain/examples/standard/nc-wmt11.de.gz differ diff --git a/training/dtrain/examples/standard/nc-wmt11.en.gz b/training/dtrain/examples/standard/nc-wmt11.en.gz new file mode 100644 index 00000000..1c0bd401 Binary files /dev/null and b/training/dtrain/examples/standard/nc-wmt11.en.gz differ diff --git a/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz b/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz new file mode 100644 index 00000000..7ce81057 Binary files /dev/null and b/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz differ diff --git a/training/dtrain/examples/standard/nc-wmt11.grammar.gz b/training/dtrain/examples/standard/nc-wmt11.grammar.gz new file mode 100644 index 00000000..ce4024a1 Binary files /dev/null and b/training/dtrain/examples/standard/nc-wmt11.grammar.gz differ diff --git a/training/dtrain/examples/toy/cdec.ini b/training/dtrain/examples/toy/cdec.ini new file mode 100644 index 00000000..b14f4819 --- /dev/null +++ b/training/dtrain/examples/toy/cdec.ini @@ -0,0 +1,3 @@ +formalism=scfg +add_pass_through_rules=true +grammar=grammar.gz diff --git a/training/dtrain/examples/toy/dtrain.ini b/training/dtrain/examples/toy/dtrain.ini new file mode 100644 index 00000000..cd715f26 --- /dev/null +++ b/training/dtrain/examples/toy/dtrain.ini @@ -0,0 +1,13 @@ +decoder_config=cdec.ini +input=src +refs=tgt +output=- +print_weights=logp shell_rule house_rule small_rule little_rule PassThrough +k=4 +N=4 +epochs=2 +scorer=bleu +sample_from=kbest +filter=uniq +pair_sampling=all +learning_rate=1 diff --git a/training/dtrain/examples/toy/expected-output b/training/dtrain/examples/toy/expected-output new file mode 100644 index 00000000..1da2aadd --- /dev/null +++ b/training/dtrain/examples/toy/expected-output @@ -0,0 +1,77 @@ +Warning: hi_lo only works with pair_sampling XYX. + cdec cfg 'cdec.ini' +Seeding random number sequence to 1664825829 + +dtrain +Parameters: + k 4 + N 4 + T 2 + scorer 'bleu' + sample from 'kbest' + filter 'uniq' + learning rate 1 + gamma 0 + loss margin 0 + pairs 'all' + pair threshold 0 + select weights 'last' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'cdec.ini' + input 'src' + refs 'tgt' + output '-' +(a dot represents 10 inputs) +Iteration #1 of 2. + 2 +WEIGHTS + logp = +0 + shell_rule = -1 + house_rule = +2 + small_rule = -2 + little_rule = +3 + PassThrough = -5 + --- + 1best avg score: 0.5 (+0.5) + 1best avg model score: 2.5 (+2.5) + avg # pairs: 4 + avg # rank err: 1.5 + avg # margin viol: 0 + non0 feature count: 6 + avg list sz: 4 + avg f count: 2.875 +(time 0 min, 0 s/S) + +Iteration #2 of 2. + 2 +WEIGHTS + logp = +0 + shell_rule = -1 + house_rule = +2 + small_rule = -2 + little_rule = +3 + PassThrough = -5 + --- + 1best avg score: 1 (+0.5) + 1best avg model score: 5 (+2.5) + avg # pairs: 5 + avg # rank err: 0 + avg # margin viol: 0 + non0 feature count: 6 + avg list sz: 4 + avg f count: 3 +(time 0 min, 0 s/S) + +Writing weights file to '-' ... +house_rule 2 +little_rule 3 +Glue -4 +PassThrough -5 +small_rule -2 +shell_rule -1 +done + +--- +Best iteration: 2 [SCORE 'bleu'=1]. +This took 0 min. diff --git a/training/dtrain/examples/toy/grammar.gz b/training/dtrain/examples/toy/grammar.gz new file mode 100644 index 00000000..8eb0d29e Binary files /dev/null and b/training/dtrain/examples/toy/grammar.gz differ diff --git a/training/dtrain/examples/toy/src b/training/dtrain/examples/toy/src new file mode 100644 index 00000000..87e39ef2 --- /dev/null +++ b/training/dtrain/examples/toy/src @@ -0,0 +1,2 @@ +ich sah ein kleines haus +ich fand ein kleines haus diff --git a/training/dtrain/examples/toy/tgt b/training/dtrain/examples/toy/tgt new file mode 100644 index 00000000..174926b3 --- /dev/null +++ b/training/dtrain/examples/toy/tgt @@ -0,0 +1,2 @@ +i saw a little house +i found a little house diff --git a/training/dtrain/lplp.rb b/training/dtrain/lplp.rb index f0cd58c5..86e835e8 100755 --- a/training/dtrain/lplp.rb +++ b/training/dtrain/lplp.rb @@ -84,34 +84,28 @@ def _test() end #_test() -# actually do something + def usage() - puts "lplp.rb [n] < " + puts "lplp.rb <#shards> < " puts " l0...: norms for selection" puts "select_k: only output top k (according to the norm of their column vector) features" puts " cut: output features with weight >= threshold" puts " n: if we do not have a shard count use this number for averaging" - exit + exit 1 end -if ARGV.size < 3 then usage end +if ARGV.size < 4 then usage end norm_fun = method(ARGV[0].to_sym) type = ARGV[1] x = ARGV[2].to_f - -shard_count_key = "__SHARD_COUNT__" +shard_count = ARGV[3].to_f STDIN.set_encoding 'utf-8' STDOUT.set_encoding 'utf-8' w = {} -shard_count = 0 while line = STDIN.gets key, val = line.split /\s+/ - if key == shard_count_key - shard_count += 1 - next - end if w.has_key? key w[key].push val.to_f else @@ -119,8 +113,6 @@ while line = STDIN.gets end end -if ARGV.size == 4 then shard_count = ARGV[3].to_f end - if type == 'cut' cut(w, norm_fun, shard_count, x) elsif type == 'select_k' diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index 24e7f49e..e661416e 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -3,16 +3,15 @@ require 'trollop' def usage - if ARGV.size != 8 - STDERR.write "Usage: " - STDERR.write "ruby parallelize.rb -c -e [--randomize/-z] [--reshard/-y] -s <#shards|0> -p -i -r [--qsub/-q] --dtrain_binary -l \"l2 select_k 100000\"\n" - exit 1 - end + STDERR.write "Usage: " + STDERR.write "ruby parallelize.rb -c [-e ] [--randomize/-z] [--reshard/-y] -s <#shards|0> [-p ] -i -r [--qsub/-q] [--dtrain_binary ] [-l \"l2 select_k 100000\"]\n" + exit 1 end opts = Trollop::options do opt :config, "dtrain config file", :type => :string - opt :epochs, "number of epochs", :type => :int + opt :epochs, "number of epochs", :type => :int, :default => 10 + opt :lplp_args, "arguments for lplp.rb", :type => :string, :default => "l2 select_k 100000" opt :randomize, "randomize shards before each epoch", :type => :bool, :short => '-z', :default => false opt :reshard, "reshard after each epoch", :type => :bool, :short => '-y', :default => false opt :shards, "number of shards", :type => :int @@ -21,8 +20,8 @@ opts = Trollop::options do opt :references, "references", :type => :string opt :qsub, "use qsub", :type => :bool, :default => false opt :dtrain_binary, "path to dtrain binary", :type => :string - opt :lplp_args, "arguments for lplp arguments", :type => :string, :default => "l2 select_k 100000" end +usage if not opts[:config]&&opts[:shards]&&opts[:input]&&opts[:references] dtrain_dir = File.expand_path File.dirname(__FILE__) @@ -32,16 +31,14 @@ else dtrain_bin = opts[:dtrain_binary] end ruby = '/usr/bin/ruby' -lplp_rb = "#{dtrain_dir}/hstreaming/lplp.rb" +lplp_rb = "#{dtrain_dir}/lplp.rb" lplp_args = opts[:lplp_args] cat = '/bin/cat' ini = opts[:config] epochs = opts[:epochs] -rand = false -rand = true if opts[:randomize] -reshard = false -reshard = true if opts[:reshard] +rand = opts[:randomize] +reshard = opts[:reshard] predefined_shards = false if opts[:shards] == 0 predefined_shards = true @@ -49,11 +46,10 @@ if opts[:shards] == 0 else num_shards = opts[:shards] end -shards_at_once = opts[:processes_at_once] input = opts[:input] refs = opts[:references] -use_qsub = false -use_qsub = true if opts[:qsub] +use_qsub = opts[:qsub] +shards_at_once = opts[:processes_at_once] `mkdir work` diff --git a/training/dtrain/test/example/README b/training/dtrain/test/example/README deleted file mode 100644 index 2df77086..00000000 --- a/training/dtrain/test/example/README +++ /dev/null @@ -1,8 +0,0 @@ -Small example of input format for distributed training. -Call dtrain from this folder with ../../dtrain -c test/example/dtrain.ini . - -For this to work, undef 'DTRAIN_LOCAL' in dtrain.h -and recompile. - -data can be found here: http://simianer.de/#dtrain - diff --git a/training/dtrain/test/example/cdec.ini b/training/dtrain/test/example/cdec.ini deleted file mode 100644 index 0215416d..00000000 --- a/training/dtrain/test/example/cdec.ini +++ /dev/null @@ -1,25 +0,0 @@ -formalism=scfg -add_pass_through_rules=true -scfg_max_span_limit=15 -intersection_strategy=cube_pruning -cubepruning_pop_limit=200 -feature_function=WordPenalty -feature_function=KLanguageModel ./nc-wmt11.en.srilm.gz -# all currently working feature functions for translation: -# (with those features active that were used in the ACL paper) -#feature_function=ArityPenalty -#feature_function=CMR2008ReorderingFeatures -#feature_function=Dwarf -#feature_function=InputIndicator -#feature_function=LexNullJump -#feature_function=NewJump -#feature_function=NgramFeatures -#feature_function=NonLatinCount -#feature_function=OutputIndicator -feature_function=RuleIdentityFeatures -feature_function=RuleSourceBigramFeatures -feature_function=RuleTargetBigramFeatures -feature_function=RuleShape -#feature_function=SourceSpanSizeFeatures -#feature_function=SourceWordPenalty -#feature_function=SpanFeatures diff --git a/training/dtrain/test/example/dtrain.ini b/training/dtrain/test/example/dtrain.ini deleted file mode 100644 index 97fce7f0..00000000 --- a/training/dtrain/test/example/dtrain.ini +++ /dev/null @@ -1,22 +0,0 @@ -input=./nc-wmt11.1k.gz # use '-' for STDIN -output=- # a weights file (add .gz for gzip compression) or STDOUT '-' -select_weights=VOID # don't output weights -decoder_config=./cdec.ini # config for cdec -# weights for these features will be printed on each iteration -print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough -tmp=/tmp -stop_after=10 # stop epoch after 10 inputs - -# interesting stuff -epochs=2 # run over input 2 times -k=100 # use 100best lists -N=4 # optimize (approx) BLEU4 -scorer=stupid_bleu # use 'stupid' BLEU+1 -learning_rate=1.0 # learning rate, don't care if gamma=0 (perceptron) -gamma=0 # use SVM reg -sample_from=kbest # use kbest lists (as opposed to forest) -filter=uniq # only unique entries in kbest (surface form) -pair_sampling=XYX -hi_lo=0.1 # 10 vs 80 vs 10 and 80 vs 10 here -pair_threshold=0 # minimum distance in BLEU (this will still only use pairs with diff > 0) -loss_margin=0 diff --git a/training/dtrain/test/example/expected-output b/training/dtrain/test/example/expected-output deleted file mode 100644 index 05326763..00000000 --- a/training/dtrain/test/example/expected-output +++ /dev/null @@ -1,89 +0,0 @@ - cdec cfg 'test/example/cdec.ini' -Loading the LM will be faster if you build a binary file. -Reading test/example/nc-wmt11.en.srilm.gz -----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100 -**************************************************************************************************** - Example feature: Shape_S00000_T00000 -Seeding random number sequence to 2912000813 - -dtrain -Parameters: - k 100 - N 4 - T 2 - scorer 'stupid_bleu' - sample from 'kbest' - filter 'uniq' - learning rate 1 - gamma 0 - loss margin 0 - pairs 'XYX' - hi lo 0.1 - pair threshold 0 - select weights 'VOID' - l1 reg 0 'none' - max pairs 4294967295 - cdec cfg 'test/example/cdec.ini' - input 'test/example/nc-wmt11.1k.gz' - output '-' - stop_after 10 -(a dot represents 10 inputs) -Iteration #1 of 2. - . 10 -Stopping after 10 input sentences. -WEIGHTS - Glue = -637 - WordPenalty = +1064 - LanguageModel = +1175.3 - LanguageModel_OOV = -1437 - PhraseModel_0 = +1935.6 - PhraseModel_1 = +2499.3 - PhraseModel_2 = +964.96 - PhraseModel_3 = +1410.8 - PhraseModel_4 = -5977.9 - PhraseModel_5 = +522 - PhraseModel_6 = +1089 - PassThrough = -1308 - --- - 1best avg score: 0.16963 (+0.16963) - 1best avg model score: 64485 (+64485) - avg # pairs: 1494.4 - avg # rank err: 702.6 - avg # margin viol: 0 - non0 feature count: 528 - avg list sz: 85.7 - avg f count: 102.75 -(time 0.083 min, 0.5 s/S) - -Iteration #2 of 2. - . 10 -WEIGHTS - Glue = -1196 - WordPenalty = +809.52 - LanguageModel = +3112.1 - LanguageModel_OOV = -1464 - PhraseModel_0 = +3895.5 - PhraseModel_1 = +4683.4 - PhraseModel_2 = +1092.8 - PhraseModel_3 = +1079.6 - PhraseModel_4 = -6827.7 - PhraseModel_5 = -888 - PhraseModel_6 = +142 - PassThrough = -1335 - --- - 1best avg score: 0.277 (+0.10736) - 1best avg model score: -3110.5 (-67595) - avg # pairs: 1144.2 - avg # rank err: 529.1 - avg # margin viol: 0 - non0 feature count: 859 - avg list sz: 74.9 - avg f count: 112.84 -(time 0.067 min, 0.4 s/S) - -Writing weights file to '-' ... -done - ---- -Best iteration: 2 [SCORE 'stupid_bleu'=0.277]. -This took 0.15 min. diff --git a/training/dtrain/test/parallelize/README b/training/dtrain/test/parallelize/README deleted file mode 100644 index 89715105..00000000 --- a/training/dtrain/test/parallelize/README +++ /dev/null @@ -1,5 +0,0 @@ -run for example - ../../parallelize.rb ./dtrain.ini 4 false 2 2 ./in ./refs - -final weights will be in the file work/weights.3 - diff --git a/training/dtrain/test/parallelize/cdec.ini b/training/dtrain/test/parallelize/cdec.ini deleted file mode 100644 index e43ba1c4..00000000 --- a/training/dtrain/test/parallelize/cdec.ini +++ /dev/null @@ -1,22 +0,0 @@ -formalism=scfg -add_pass_through_rules=true -intersection_strategy=cube_pruning -cubepruning_pop_limit=200 -scfg_max_span_limit=15 -feature_function=WordPenalty -feature_function=KLanguageModel ../example/nc-wmt11.en.srilm.gz -#feature_function=ArityPenalty -#feature_function=CMR2008ReorderingFeatures -#feature_function=Dwarf -#feature_function=InputIndicator -#feature_function=LexNullJump -#feature_function=NewJump -#feature_function=NgramFeatures -#feature_function=NonLatinCount -#feature_function=OutputIndicator -#feature_function=RuleIdentityFeatures -#feature_function=RuleNgramFeatures -#feature_function=RuleShape -#feature_function=SourceSpanSizeFeatures -#feature_function=SourceWordPenalty -#feature_function=SpanFeatures diff --git a/training/dtrain/test/parallelize/dtrain.ini b/training/dtrain/test/parallelize/dtrain.ini deleted file mode 100644 index 03f9d240..00000000 --- a/training/dtrain/test/parallelize/dtrain.ini +++ /dev/null @@ -1,15 +0,0 @@ -k=100 -N=4 -learning_rate=0.0001 -gamma=0 -loss_margin=0 -epochs=1 -scorer=stupid_bleu -sample_from=kbest -filter=uniq -pair_sampling=XYX -hi_lo=0.1 -select_weights=last -print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough -tmp=/tmp -decoder_config=cdec.ini diff --git a/training/dtrain/test/parallelize/g/grammar.out.0.gz 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/dev/null differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.8.gz b/training/dtrain/test/parallelize/g/grammar.out.8.gz deleted file mode 100644 index ebf6bd0c..00000000 Binary files a/training/dtrain/test/parallelize/g/grammar.out.8.gz and /dev/null differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.9.gz b/training/dtrain/test/parallelize/g/grammar.out.9.gz deleted file mode 100644 index c1791059..00000000 Binary files a/training/dtrain/test/parallelize/g/grammar.out.9.gz and /dev/null differ diff --git a/training/dtrain/test/parallelize/in b/training/dtrain/test/parallelize/in deleted file mode 100644 index 3b7dec39..00000000 --- a/training/dtrain/test/parallelize/in +++ /dev/null @@ -1,10 +0,0 @@ -europas nach rassen geteiltes haus -ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . -der lega nord in italien , der vlaams block in den niederlanden , die anhänger von le pens nationaler front in frankreich , sind beispiele für parteien oder bewegungen , die sich um das gemeinsame thema : ablehnung der zuwanderung gebildet haben und um forderung nach einer vereinfachten politik , um sie zu regeln . -während individuen wie jörg haidar und jean @-@ marie le pen kommen und ( leider nicht zu bald ) wieder gehen mögen , wird die rassenfrage aus der europäischer politik nicht so bald verschwinden . -eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . -die großen parteien der rechten und der linken mitte haben sich dem problem gestellt , in dem sie den kopf in den sand gesteckt und allen aussichten zuwider gehofft haben , es möge bald verschwinden . -das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . -die beziehungen zwischen den rassen standen in den usa über jahrzehnte - und tun das noch heute - im zentrum der politischen debatte . das ging so weit , daß rassentrennung genauso wichtig wie das einkommen wurde , - wenn nicht sogar noch wichtiger - um politische zuneigungen und einstellungen zu bestimmen . -der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . -genau das haben in den usa eine große anzahl an forschungsvorhaben in wirtschaft , soziologie , psychologie und politikwissenschaft geleistet . diese forschungen zeigten , daß menschen unterschiedlicher rasse einander deutlich weniger vertrauen . diff --git a/training/dtrain/test/parallelize/refs b/training/dtrain/test/parallelize/refs deleted file mode 100644 index 632e27b0..00000000 --- a/training/dtrain/test/parallelize/refs +++ /dev/null @@ -1,10 +0,0 @@ -europe 's divided racial house -a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . -the lega nord in italy , the vlaams blok in the netherlands , the supporters of le pen 's national front in france , are all examples of parties or movements formed on the common theme of aversion to immigrants and promotion of simplistic policies to control them . -while individuals like jorg haidar and jean @-@ marie le pen may come and ( never to soon ) go , the race question will not disappear from european politics anytime soon . -an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . -mainstream parties of the center left and center right have confronted this prospect by hiding their heads in the ground , hoping against hope that the problem will disappear . -it will not , as america 's racial history clearly shows . -race relations in the us have been for decades - and remain - at the center of political debate , to the point that racial cleavages are as important as income , if not more , as determinants of political preferences and attitudes . -the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . -this is precisely what a large amount of research in economics , sociology , psychology and political science has done for the us . diff --git a/training/dtrain/test/toy/cdec.ini b/training/dtrain/test/toy/cdec.ini deleted file mode 100644 index 98b02d44..00000000 --- a/training/dtrain/test/toy/cdec.ini +++ /dev/null @@ -1,2 +0,0 @@ -formalism=scfg -add_pass_through_rules=true diff --git a/training/dtrain/test/toy/dtrain.ini b/training/dtrain/test/toy/dtrain.ini deleted file mode 100644 index a091732f..00000000 --- a/training/dtrain/test/toy/dtrain.ini +++ /dev/null @@ -1,12 +0,0 @@ -decoder_config=test/toy/cdec.ini -input=test/toy/input -output=- -print_weights=logp shell_rule house_rule small_rule little_rule PassThrough -k=4 -N=4 -epochs=2 -scorer=bleu -sample_from=kbest -filter=uniq -pair_sampling=all -learning_rate=1 diff --git a/training/dtrain/test/toy/input b/training/dtrain/test/toy/input deleted file mode 100644 index 4d10a9ea..00000000 --- a/training/dtrain/test/toy/input +++ /dev/null @@ -1,2 +0,0 @@ -0 ich sah ein kleines haus i saw a little house [S] ||| [NP,1] [VP,2] ||| [1] [2] ||| logp=0 [NP] ||| ich ||| i ||| logp=0 [NP] ||| ein [NN,1] ||| a [1] ||| logp=0 [NN] ||| [JJ,1] haus ||| [1] house ||| logp=0 house_rule=1 [NN] ||| [JJ,1] haus ||| [1] shell ||| logp=0 shell_rule=1 [JJ] ||| kleines ||| small ||| logp=0 small_rule=1 [JJ] ||| kleines ||| little ||| logp=0 little_rule=1 [JJ] ||| grosses ||| big ||| logp=0 [JJ] ||| grosses ||| large ||| logp=0 [VP] ||| [V,1] [NP,2] ||| [1] [2] ||| logp=0 [V] ||| sah ||| saw ||| logp=0 [V] ||| fand ||| found ||| logp=0 -1 ich fand ein kleines haus i found a little house [S] ||| [NP,1] [VP,2] ||| [1] [2] ||| logp=0 [NP] ||| ich ||| i ||| logp=0 [NP] ||| ein [NN,1] ||| a [1] ||| logp=0 [NN] ||| [JJ,1] haus ||| [1] house ||| logp=0 house_rule=1 [NN] ||| [JJ,1] haus ||| [1] shell ||| logp=0 shell_rule=1 [JJ] ||| kleines ||| small ||| logp=0 small_rule=1 [JJ] ||| kleines ||| little ||| logp=0 little_rule=1 [JJ] ||| grosses ||| big ||| logp=0 [JJ] ||| grosses ||| large ||| logp=0 [VP] ||| [V,1] [NP,2] ||| [1] [2] ||| logp=0 [V] ||| sah ||| saw ||| logp=0 [V] ||| fand ||| found ||| logp=0 -- cgit v1.2.3 From ce2f5608e15a3d3e080ab4b26b5f263fead215e2 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Fri, 15 Mar 2013 12:46:03 +0100 Subject: make perceptron automatically faster --- training/dtrain/dtrain.cc | 36 ++++++++++++++++++++---------------- training/dtrain/pairsampling.h | 21 ++++++--------------- 2 files changed, 26 insertions(+), 31 deletions(-) diff --git a/training/dtrain/dtrain.cc b/training/dtrain/dtrain.cc index fcb46db2..2bb4ec98 100644 --- a/training/dtrain/dtrain.cc +++ b/training/dtrain/dtrain.cc @@ -6,7 +6,8 @@ dtrain_init(int argc, char** argv, po::variables_map* cfg) { po::options_description ini("Configuration File Options"); ini.add_options() - ("input", po::value()->default_value("-"), "input file") + ("input", po::value()->default_value("-"), "input file (src)") + ("refs,r", po::value(), "references") ("output", po::value()->default_value("-"), "output weights file, '-' for STDOUT") ("input_weights", po::value(), "input weights file (e.g. from previous iteration)") ("decoder_config", po::value(), "configuration file for cdec") @@ -33,8 +34,8 @@ dtrain_init(int argc, char** argv, po::variables_map* cfg) ("scale_bleu_diff", po::value()->zero_tokens(), "learning rate <- bleu diff of a misranked pair") ("loss_margin", po::value()->default_value(0.), "update if no error in pref pair but model scores this near") ("max_pairs", po::value()->default_value(std::numeric_limits::max()), "max. # of pairs per Sent.") - ("refs,r", po::value(), "references in local mode") - ("noup", po::value()->zero_tokens(), "do not update weights"); + ("noup", po::value()->zero_tokens(), "do not update weights") + ("pair_stats", po::value()->zero_tokens(), "stats about correctly ranked/misranked pairs even if loss_margin=0 and gamma=0"); po::options_description cl("Command Line Options"); cl.add_options() ("config,c", po::value(), "dtrain config file") @@ -124,6 +125,10 @@ main(int argc, char** argv) vector print_weights; if (cfg.count("print_weights")) boost::split(print_weights, cfg["print_weights"].as(), boost::is_any_of(" ")); + bool pair_stats = false; + if (cfg.count("pair_stats")) pair_stats = true; + bool faster_perceptron = false; + if (gamma==0 && loss_margin==0 && !pair_stats) faster_perceptron = true; // setup decoder register_feature_functions(); @@ -346,25 +351,26 @@ main(int argc, char** argv) // get pairs vector > pairs; if (pair_sampling == "all") - all_pairs(samples, pairs, pair_threshold, max_pairs); + all_pairs(samples, pairs, pair_threshold, max_pairs, faster_perceptron); if (pair_sampling == "XYX") - partXYX(samples, pairs, pair_threshold, max_pairs, hi_lo); + partXYX(samples, pairs, pair_threshold, max_pairs, faster_perceptron, hi_lo); if (pair_sampling == "PRO") PROsampling(samples, pairs, pair_threshold, max_pairs); npairs += pairs.size(); for (vector >::iterator it = pairs.begin(); it != pairs.end(); it++) { -#ifdef DTRAIN_FASTER_PERCEPTRON - bool rank_error = true; // pair sampling already did this for us - rank_errors++; - score_t margin = std::numeric_limits::max(); -#else - bool rank_error = it->first.model <= it->second.model; + bool rank_error; + score_t margin; + if (faster_perceptron) { // we only have considering misranked pairs + rank_error = true; // pair sampling already did this for us + margin = std::numeric_limits::max(); + } else { + rank_error = it->first.model <= it->second.model; + margin = fabs(fabs(it->first.model) - fabs(it->second.model)); + if (!rank_error && margin < loss_margin) margin_violations++; + } if (rank_error) rank_errors++; - score_t margin = fabs(fabs(it->first.model) - fabs(it->second.model)); - if (!rank_error && margin < loss_margin) margin_violations++; -#endif if (scale_bleu_diff) eta = it->first.score - it->second.score; if (rank_error || margin < loss_margin) { SparseVector diff_vec = it->first.f - it->second.f; @@ -458,10 +464,8 @@ main(int argc, char** argv) cerr << _np << npairs/(float)in_sz << endl; cerr << " avg # rank err: "; cerr << rank_errors/(float)in_sz << endl; -#ifndef DTRAIN_FASTER_PERCEPTRON cerr << " avg # margin viol: "; cerr << margin_violations/(float)in_sz << endl; -#endif cerr << " non0 feature count: " << nonz << endl; cerr << " avg list sz: " << list_sz/(float)in_sz << endl; cerr << " avg f count: " << f_count/(float)list_sz << endl; diff --git a/training/dtrain/pairsampling.h b/training/dtrain/pairsampling.h index 84be1efb..3f67e209 100644 --- a/training/dtrain/pairsampling.h +++ b/training/dtrain/pairsampling.h @@ -19,7 +19,7 @@ cmp_hyp_by_score_d(ScoredHyp a, ScoredHyp b) } inline void -all_pairs(vector* s, vector >& training, score_t threshold, unsigned max, float _unused=1) +all_pairs(vector* s, vector >& training, score_t threshold, unsigned max, bool misranked_only, float _unused=1) { sort(s->begin(), s->end(), cmp_hyp_by_score_d); unsigned sz = s->size(); @@ -27,6 +27,7 @@ all_pairs(vector* s, vector >& training, sc unsigned count = 0; for (unsigned i = 0; i < sz-1; i++) { for (unsigned j = i+1; j < sz; j++) { + if (misranked_only && !((*s)[i].model <= (*s)[j].model)) continue; if (threshold > 0) { if (accept_pair((*s)[i].score, (*s)[j].score, threshold)) training.push_back(make_pair((*s)[i], (*s)[j])); @@ -51,7 +52,7 @@ all_pairs(vector* s, vector >& training, sc */ inline void -partXYX(vector* s, vector >& training, score_t threshold, unsigned max, float hi_lo) +partXYX(vector* s, vector >& training, score_t threshold, unsigned max, bool misranked_only, float hi_lo) { unsigned sz = s->size(); if (sz < 2) return; @@ -64,9 +65,7 @@ partXYX(vector* s, vector >& training, scor unsigned count = 0; for (unsigned i = 0; i < sep_hi; i++) { for (unsigned j = sep_hi; j < sz; j++) { -#ifdef DTRAIN_FASTER_PERCEPTRON - if ((*s)[i].model <= (*s)[j].model) { -#endif + if (misranked_only && !((*s)[i].model <= (*s)[j].model)) continue; if (threshold > 0) { if (accept_pair((*s)[i].score, (*s)[j].score, threshold)) training.push_back(make_pair((*s)[i], (*s)[j])); @@ -78,9 +77,6 @@ partXYX(vector* s, vector >& training, scor b = true; break; } -#ifdef DTRAIN_FASTER_PERCEPTRON - } -#endif } if (b) break; } @@ -88,9 +84,7 @@ partXYX(vector* s, vector >& training, scor while (sep_lo > 0 && (*s)[sep_lo-1].score == (*s)[sep_lo].score) --sep_lo; for (unsigned i = sep_hi; i < sz-sep_lo; i++) { for (unsigned j = sz-sep_lo; j < sz; j++) { -#ifdef DTRAIN_FASTER_PERCEPTRON - if ((*s)[i].model <= (*s)[j].model) { -#endif + if (misranked_only && !((*s)[i].model <= (*s)[j].model)) continue; if (threshold > 0) { if (accept_pair((*s)[i].score, (*s)[j].score, threshold)) training.push_back(make_pair((*s)[i], (*s)[j])); @@ -99,9 +93,6 @@ partXYX(vector* s, vector >& training, scor training.push_back(make_pair((*s)[i], (*s)[j])); } if (++count == max) return; -#ifdef DTRAIN_FASTER_PERCEPTRON - } -#endif } } } @@ -119,7 +110,7 @@ _PRO_cmp_pair_by_diff_d(pair a, pair b return (fabs(a.first.score - a.second.score)) > (fabs(b.first.score - b.second.score)); } inline void -PROsampling(vector* s, vector >& training, score_t threshold, unsigned max, float _unused=1) +PROsampling(vector* s, vector >& training, score_t threshold, unsigned max, bool _unused=false, float _also_unused=0) { unsigned max_count = 5000, count = 0, sz = s->size(); bool b = false; -- cgit v1.2.3 From d2b1c3d182863b7d39d22b589661d71608bebac8 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Fri, 15 Mar 2013 16:06:05 +0100 Subject: fix --- training/dtrain/dtrain.cc | 18 +- training/dtrain/dtrain.h | 3 - training/dtrain/examples/standard/dtrain.ini | 8 +- training/dtrain/examples/standard/expected-output | 1163 +-------------------- 4 files changed, 39 insertions(+), 1153 deletions(-) diff --git a/training/dtrain/dtrain.cc b/training/dtrain/dtrain.cc index 2bb4ec98..149f87d4 100644 --- a/training/dtrain/dtrain.cc +++ b/training/dtrain/dtrain.cc @@ -34,8 +34,7 @@ dtrain_init(int argc, char** argv, po::variables_map* cfg) ("scale_bleu_diff", po::value()->zero_tokens(), "learning rate <- bleu diff of a misranked pair") ("loss_margin", po::value()->default_value(0.), "update if no error in pref pair but model scores this near") ("max_pairs", po::value()->default_value(std::numeric_limits::max()), "max. # of pairs per Sent.") - ("noup", po::value()->zero_tokens(), "do not update weights") - ("pair_stats", po::value()->zero_tokens(), "stats about correctly ranked/misranked pairs even if loss_margin=0 and gamma=0"); + ("noup", po::value()->zero_tokens(), "do not update weights"); po::options_description cl("Command Line Options"); cl.add_options() ("config,c", po::value(), "dtrain config file") @@ -125,10 +124,7 @@ main(int argc, char** argv) vector print_weights; if (cfg.count("print_weights")) boost::split(print_weights, cfg["print_weights"].as(), boost::is_any_of(" ")); - bool pair_stats = false; - if (cfg.count("pair_stats")) pair_stats = true; - bool faster_perceptron = false; - if (gamma==0 && loss_margin==0 && !pair_stats) faster_perceptron = true; + // setup decoder register_feature_functions(); @@ -185,6 +181,11 @@ main(int argc, char** argv) weight_t eta = cfg["learning_rate"].as(); weight_t gamma = cfg["gamma"].as(); + // faster perceptron: consider only misranked pairs, see + // DO NOT ENABLE WITH SVM (gamma > 0) OR loss_margin! + bool faster_perceptron = false; + if (gamma==0 && loss_margin==0) faster_perceptron = true; + // l1 regularization bool l1naive = false; bool l1clip = false; @@ -232,6 +233,7 @@ main(int argc, char** argv) else cerr << setw(25) << "learning rate " << "bleu diff" << endl; cerr << setw(25) << "gamma " << gamma << endl; cerr << setw(25) << "loss margin " << loss_margin << endl; + cerr << setw(25) << "faster perceptron " << faster_perceptron << endl; cerr << setw(25) << "pairs " << "'" << pair_sampling << "'" << endl; if (pair_sampling == "XYX") cerr << setw(25) << "hi lo " << hi_lo << endl; @@ -461,7 +463,9 @@ main(int argc, char** argv) cerr << _np << " 1best avg model score: " << model_avg; cerr << _p << " (" << model_diff << ")" << endl; cerr << " avg # pairs: "; - cerr << _np << npairs/(float)in_sz << endl; + cerr << _np << npairs/(float)in_sz; + if (faster_perceptron) cerr << " (meaningless)"; + cerr << endl; cerr << " avg # rank err: "; cerr << rank_errors/(float)in_sz << endl; cerr << " avg # margin viol: "; diff --git a/training/dtrain/dtrain.h b/training/dtrain/dtrain.h index f368d810..eb0b9f17 100644 --- a/training/dtrain/dtrain.h +++ b/training/dtrain/dtrain.h @@ -1,9 +1,6 @@ #ifndef _DTRAIN_H_ #define _DTRAIN_H_ -#undef DTRAIN_FASTER_PERCEPTRON // only consider actually misranked pairs - // DO NOT ENABLE WITH SVM (gamma > 0) OR loss_margin! - #define DTRAIN_DOTS 10 // after how many inputs to display a '.' #define DTRAIN_SCALE 100000 diff --git a/training/dtrain/examples/standard/dtrain.ini b/training/dtrain/examples/standard/dtrain.ini index a05e9c29..e1072d30 100644 --- a/training/dtrain/examples/standard/dtrain.ini +++ b/training/dtrain/examples/standard/dtrain.ini @@ -1,12 +1,12 @@ input=./nc-wmt11.de.gz refs=./nc-wmt11.en.gz output=- # a weights file (add .gz for gzip compression) or STDOUT '-' -select_weights=avg # output average (over epochs) weight vector +select_weights=VOID # output average (over epochs) weight vector decoder_config=./cdec.ini # config for cdec # weights for these features will be printed on each iteration -print_weights= EgivenFCoherent SampleCountF CountEF MaxLexFgivenE MaxLexEgivenF IsSingletonF IsSingletonFE Glue WordPenalty PassThrough LanguageModel LanguageModel_OOV +print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough # newer version of the grammar extractor use different feature names: -#print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough +#print_weights= EgivenFCoherent SampleCountF CountEF MaxLexFgivenE MaxLexEgivenF IsSingletonF IsSingletonFE Glue WordPenalty PassThrough LanguageModel LanguageModel_OOV stop_after=10 # stop epoch after 10 inputs # interesting stuff @@ -21,4 +21,4 @@ filter=uniq # only unique entries in kbest (surface form) pair_sampling=XYX # hi_lo=0.1 # 10 vs 80 vs 10 and 80 vs 10 here pair_threshold=0 # minimum distance in BLEU (here: > 0) -loss_margin=0 +loss_margin=0 # update if correctly ranked, but within this margin diff --git a/training/dtrain/examples/standard/expected-output b/training/dtrain/examples/standard/expected-output index 8d72f4c3..7cd09dbf 100644 --- a/training/dtrain/examples/standard/expected-output +++ b/training/dtrain/examples/standard/expected-output @@ -4,7 +4,7 @@ Reading ./nc-wmt11.en.srilm.gz ----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100 **************************************************************************************************** Example feature: Shape_S00000_T00000 -Seeding random number sequence to 1511823303 +Seeding random number sequence to 2679584485 dtrain Parameters: @@ -17,10 +17,11 @@ Parameters: learning rate 1 gamma 0 loss margin 0 + faster perceptron 1 pairs 'XYX' hi lo 0.1 pair threshold 0 - select weights 'avg' + select weights 'VOID' l1 reg 0 'none' max pairs 4294967295 cdec cfg './cdec.ini' @@ -33,1174 +34,58 @@ Iteration #1 of 2. . 10 Stopping after 10 input sentences. WEIGHTS - EgivenFCoherent = +0 - SampleCountF = +0 - CountEF = +0 - MaxLexFgivenE = +0 - MaxLexEgivenF = +0 - IsSingletonF = +0 - IsSingletonFE = +0 Glue = -576 WordPenalty = +417.79 - PassThrough = -1455 LanguageModel = +5117.5 LanguageModel_OOV = -1307 + PhraseModel_0 = -1612 + PhraseModel_1 = -2159.6 + PhraseModel_2 = -677.36 + PhraseModel_3 = +2663.8 + PhraseModel_4 = -1025.9 + PhraseModel_5 = -8 + PhraseModel_6 = +70 + PassThrough = -1455 --- 1best avg score: 0.27697 (+0.27697) 1best avg model score: -47918 (-47918) - avg # pairs: 1129.8 + avg # pairs: 581.9 (meaningless) avg # rank err: 581.9 avg # margin viol: 0 non0 feature count: 703 avg list sz: 90.9 avg f count: 100.09 -(time 0.33 min, 2 s/S) +(time 0.25 min, 1.5 s/S) Iteration #2 of 2. . 10 WEIGHTS - EgivenFCoherent = +0 - SampleCountF = +0 - CountEF = +0 - MaxLexFgivenE = +0 - MaxLexEgivenF = +0 - IsSingletonF = +0 - IsSingletonFE = +0 Glue = -622 WordPenalty = +898.56 - PassThrough = -2578 LanguageModel = +8066.2 LanguageModel_OOV = -2590 + PhraseModel_0 = -4335.8 + PhraseModel_1 = -5864.4 + PhraseModel_2 = -1729.8 + PhraseModel_3 = +2831.9 + PhraseModel_4 = -5384.8 + PhraseModel_5 = +1449 + PhraseModel_6 = +480 + PassThrough = -2578 --- 1best avg score: 0.37119 (+0.094226) 1best avg model score: -1.3174e+05 (-83822) - avg # pairs: 1214.9 + avg # pairs: 584.1 (meaningless) avg # rank err: 584.1 avg # margin viol: 0 non0 feature count: 1115 avg list sz: 91.3 avg f count: 90.755 -(time 0.27 min, 1.6 s/S) +(time 0.3 min, 1.8 s/S) Writing weights file to '-' ... -R:X:NX_sein:N1_its 61.5 -WordPenalty 658.17328732437022 -LanguageModel 6591.8747593425214 -LanguageModel_OOV -1948.5 -R:X:das_NX:this_N1 12 -R:X:NX_sein_NX:N1_from_ever_being_able_to_N2 30 -R:X:NX_bemühen:N1_effort 2.5 -RBS:X_bemühen 2.5 -R:X:sich:sich -17.5 -RBT:_sich -17.5 -RBT:sich_ -17.5 -RBS:sich_X 17.5 -RBS:_als 147 -RBS:als_ -59 -Shape_S10000_T10000 -1711.5 -RBT:_when 84 -R:X:zum_NX:as_N1 -134 -RBS:_zum -30 -R:X:als_NX:as_N1 63 -R:X:zum_NX:'s_N1 33 -R:X:zum_NX:the_N1 24 -RBS:X_sich -12 -R:X:zum_NX:to_N1 -36 -R:X:zum_NX:with_the_N1 83 -R:X:NX_zum:N1_the -66 -R:X:NX_zum:N1_to 66 -R:X:als_NX:when_N1 84 -RBS:als_das 59 -RBS:X_das -104 -R:X:NX_das:N1_a 28.5 -R:X:er_sich_NX:he_N1 86.5 -RBS:er_sich 29.5 -R:X:NX_das:N1_it -6 -R:X:er_sich_NX:him_N1 -57 -RBT:_declared -488 -R:X:NX_das:N1_that -5 -RBT:declared_ -8 -R:X:NX_das:N1_the -57 -R:X:NX_das:N1_this -17 -R:X:NX_.:N1_. -323 -RBS:X_. 134 -R:X:NX_.:N1_debate_. 6.5 -R:X:NX_.:N1_disruptions_. -14.5 -R:X:NX_.:N1_established_. 7.5 -R:X:NX_.:N1_heading_. 17 -R:X:NX_.:N1_on_. 94 -R:X:NX_.:N1_pace_. 51.5 -R:X:NX_das_NX:N1_a_growing_N2 -45 -R:X:general:general -23.5 -R:X:NX_.:N1_politics_. 84 -R:X:NX_das_NX:N1_a_N2 -0.5 -R:X:NX_.:N1_power_. -99.5 -RBS:general_ -23.5 -R:X:NX_.:N1_-_range_missiles_. -28.5 -Shape_S11000_T11000 40 -RBT:general_ -23.5 -RBT:_. -645 -R:X:betrat:entered -91 -R:X:NX_.:N1_war_. 68.5 -RBS:_betrat 23.5 -Shape_S11000_T01100 475.5 -RBT:_entered -91 -RBT:entered_ -91 -R:X:NX_das_NX:N1_the_N2 -2 -R:X:betrat:betrat 114.5 -RBT:_betrat 114.5 -RBT:betrat_ 114.5 -R:X:12:12 79 -R:X:maßnahmen:action 24 -R:X:.:. -566 -RBS:12_ 79 -RBS:_maßnahmen -44.5 -RBS:_. -645 -RBT:._ -566 -RBT:_action 24 -RBT:12_ 79 -RBT:action_ 24 -R:X:maßnahmen:actions -13 -RBT:_actions -13 -RBT:actions_ -13 -R:X:12_NX:12_N1 -79 -RBT:declared_a -428 -RBS:12_X -79 -RBT:a_state -428 -RBT:state_of -428 -R:X:maßnahmen:maßnahmen -55.5 -R:X:internationale_NX:global_N1 -270 -RBS:X_am 316.5 -RBT:_maßnahmen -55.5 -RBS:am_ 267.5 -RBT:maßnahmen_ -55.5 -RBS:_den 883 -R:X:internationale_NX:international_N1 270 -RBS:den_X -286.5 -R:X:NX_am:N1_of 267.5 -R:X:NX_als:N1_a -273.5 -RBS:am_X -281 -R:X:den_NX:'s_N1 -31 -R:X:NX_am_NX:N1_of_N2 -30 -R:X:NX_am_NX:N1_on_N2 79 -R:X:NX_als:N1_'s 273.5 -R:X:NX_betrat:N1_entered -23.5 -R:X:ins_NX:into_the_N1 -32.5 -RBS:X_betrat -23.5 -RBT:into_the -55 -R:X:ins_NX:into_N1 32.5 -RBT:_their 303 -R:X:general_NX:general_N1 23.5 -RBS:general_X 23.5 -RBS:_am -316.5 -R:X:den_NX:the_N1 89 -R:X:den_NX_.:the_N1_. 86.5 -R:X:NX_und:and_N1 -216 -RBS:X_und -203.5 -RBS:und_ 522.5 -RBT:_and 438.5 -R:X:am_NX:at_N1 23 -R:X:NX_als_das:N1_than_the 59 -R:X:NX_und:N1_- -114 -R:X:NX_und:N1_, 114 -R:X:am_NX:of_N1 -4 -R:X:am_NX:on_N1 -158.5 -R:X:am_NX:the_N1 -190 -RBS:_seine -16.5 -RBS:seine_ 39 -R:X:oktober:october -79.5 -R:X:seine:his -5.5 -RBS:_oktober -79.5 -R:X:seine:its 50 -RBT:_october -79.5 -RBT:october_ -79.5 -R:X:seine_NX:a_N1 7.5 -RBS:seine_X -39 -R:X:NX_und_NX:and_N1_N2 -22 -RBS:und_X 160.5 -R:X:seine_NX:his_N1 -97 -R:X:seine_NX:its_N1 102.5 -R:X:NX_und_NX:N1_,_and_N2 -4 -R:X:NX_maßnahmen:N1_actions 44.5 -RBS:X_maßnahmen 44.5 -R:X:seine_NX_als:his_N1_than 5.5 -R:X:seine_NX_als:its_N1_as -64.5 -R:X:NX_und_NX:N1_,_N2 -7 -Shape_S01100_T11000 -312.5 -RBS:und_den -822.5 -Shape_S01100_T01100 -537.5 -Shape_S01100_T11100 15 -R:X:NX_seine:'s_N1 -5.5 -RBS:X_seine 16.5 -RBS:X_den -38 -R:X:amerika_NX_sich_NX:america_N1_N2 -12 -R:X:NX_seine_NX:'s_N1_N2 22 -R:X:auf_NX_den_NX:to_N1_the_N2 -23 -R:X:auf_NX_den_NX:to_N1_N2 -23 -RBS:_unterstützen -716 -RBS:unterstützen_ -1 -Shape_S11100_T11000 783.5 -Shape_S11100_T01100 -716 -Shape_S11100_T11100 488 -R:X:unterstützen:unterstützen -1 -RBT:_unterstützen -1 -RBT:unterstützen_ -1 -R:X:unterstützen_NX:support_N1 -715 -RBS:unterstützen_X -715 -RBT:_will -6 -RBS:X_unterstützen 716 -RBT:_if 35 -R:X:NX_den_NX_.:N1_N2_. 41 -R:X:verfassung:constitution 15 -RBS:_verfassung -43 -RBT:_constitution 15 -RBT:constitution_ 15 -R:X:verfassung:constitutional 9.5 -RBT:_constitutional 9.5 -RBS:unterstützen_. 716 -RBT:constitutional_ 9.5 -R:X:NX_unterstützen_.:N1_. 716 -R:X:verfassung:verfassung -67.5 -R:X:eine_NX:an_N1 162 -RBT:_verfassung -67.5 -RBT:verfassung_ -67.5 -R:X:und:, -21.5 -R:X:,_NX_zu_NX:to_N2_N1 -153 -RBS:_und -389.5 -R:X:und:and -35 -RBS:angeführten_ -716 -RBT:and_ -35 -RBT:_as 63 -RBS:versucht_ 68 -R:X:und:with -3 -R:X:eine_NX:is_N1 -162 -RBS:angeführten_X 716 -R:X:und:und 91 -RBT:_und 91 -RBT:und_ 91 -R:X:versucht:tried 68 -RBT:tried_ 68 -RBS:versucht_X -68 -R:X:versucht_NX:tried_N1 -68 -R:X:und_NX:and_N1 250 -R:X:und_NX:with_N1 -18 -R:X:und_NX:,_N1 -7 -R:X:und_NX:N1_and -12 -R:X:und_den_NX:and_N1 -716 -R:X:er:he 17 -R:X:NX_eine:N1_is -7 -RBS:_er -47.5 -RBS:er_ 54 -RBT:_he 485.5 -RBT:he_ 17 -RBT:_him -1 -R:X:und_NX_.:,_N1_. -3 -R:X:er:his 91 -R:X:und_den_NX_.:and_the_N1_. 88 -R:X:NX_eine:N1_will 7 -R:X:er:it 3 -R:X:und_den_NX_.:and_N1_. -216.5 -R:X:er:er -196 -RBT:_er -196 -RBT:er_ -196 -RBS:er_X 8 -R:X:er_NX:he_N1 399 -R:X:er_NX:it_N1 -379 -Shape_S01010_T01010 -599 -RBS:pakistanischen_ 43 -R:X:NX_versucht:N1_tried 196 -RBT:_pakistan -43 -RBT:_pakistani 2 -R:X:er_NX_,_NX:he_N1_N2 -12 -R:X:NX_hat_er:N1_,_he_has 196 -RBS:hat_er 196 -R:X:NX_er:he_N1 -17 -RBS:X_er -148.5 -RBS:pakistanischen_X -43 -R:X:NX_er:it_N1 -7 -RBS:X_verfassung 43 -R:X:NX_verfassung:N1_'s_constitution 43 -R:X:NX_hat_NX_versucht:N1_N2_has_tried -190 -R:X:NX_hat_NX_versucht:N1_,_N2_has_tried -6 -RBS:der_pakistanischen 43 -RBS:X_pakistanischen -43 -RBS:_aber 46 -RBS:,_als -147 -RBT:_but -321 -R:X:aber_NX:but_N1 46 -R:X:von_NX_angeführten:N1_-_led -716 -R:X:von_NX_angeführten_NX:N1_-_led_N2 716 -RBS:,_aber -114 -RBS:X_aber 68 -R:X:,_als_NX:,_as_N1 -40 -R:X:NX_aber_NX_,:N1_N2_to 68 -R:X:NX_pakistanischen_NX_.:pakistan_N1_N2_. -43 -R:X:NX_,_aber_NX:N1_,_N2 -114 -RBS:_rahmen 43 -RBS:rahmen_ 43 -R:X:rahmen:within 20 -R:X:rahmen:rahmen 23 -RBT:_rahmen 23 -RBT:rahmen_ 23 -Shape_S01110_T11010 35.5 -R:X:NX_der_pakistanischen:N1_pakistan 43 -Shape_S01110_T01110 -1195 -Shape_S01110_T11110 -6.5 -R:X:NX_,_NX_er:N1_N2_he -33 -RBS:geben_X -577.5 -RBS:_gestalten 196 -Shape_S01110_T01011 278 -RBS:gestalten_ 196 -RBS:geben_und 577.5 -R:X:gestalten:more 221 -Shape_S01110_T01111 -181.5 -RBT:_more 221 -RBT:more_ 221 -R:X:gestalten:gestalten -25 -RBT:_gestalten -25 -RBT:gestalten_ -25 -R:X:effektiver:effectively -151 -RBS:_effektiver 54 -RBS:effektiver_ -221 -RBT:_effectively -151 -RBT:effectively_ -151 -R:X:effektiver:effektiver -99 -RBT:_effektiver -99 -RBT:effektiver_ -99 -Shape_S11110_T11010 -1130 -RBS:zu_geben -107.5 -R:X:effektiver_zu_NX:N1_effectively 304 -RBS:effektiver_zu 221 -RBS:X_geben 107.5 -Shape_S11110_T01110 621 -Shape_S11110_T11110 -75 -RBS:X_gestalten -196 -R:X:NX_gestalten_.:N1_. -196 -RBS:gestalten_. -196 -R:X:terror:terror 672 -RBS:_terror -16 -RBS:terror_ 640 -R:X:den:- -4 -RBT:_terror 136 -RBT:terror_ 646 -RBS:den_ 42.5 -R:X:den:for -11.5 -R:X:terror:terrorism -54 -RBT:_terrorism -54 -Shape_S11110_T11011 -4.5 -RBT:terrorism_ -54 -R:X:terror_NX:terror_N1 -634 -R:X:den:of -17 -RBS:terror_X -640 -R:X:den:'s 32.5 -Shape_S11110_T01111 -1.5 -R:X:NX_effektiver:N1_more_effectively 29 -RBS:X_effektiver -54 -R:X:den:the 68 -R:X:NX_geben_und:N1_and 107.5 -R:X:NX_effektiver_zu_NX:N1_N2_effectively -83 -R:X:den:to -33 -RBS:1999_ -302.5 -R:X:,_NX_zu_geben_NX:to_N1_N2 -577.5 -R:X:den:with -10 -RBS:X_terror -4.5 -R:X:,_NX_zu_geben_und:to_N1_and 470 -R:X:NX_1999:N1_1999 -302.5 -R:X:NX_1999_NX:N2_N1_1999 302.5 -RBS:1999_X 302.5 -R:X:den_NX_zu:to_N1 783.5 -R:X:NX_rahmen_der:N1_the -43 -RBS:X_rahmen -43 -RBS:rahmen_der -43 -RBS:gegen_ 22.5 -R:X:gegen:against -2 -RBT:_against -2 -RBT:against_ -2 -R:X:._NX:._N1 -79 -RBS:._X -79.5 -RBS:gegen_den -22.5 -R:X:NX_._oktober:october_N1 79.5 -RBS:._oktober 79.5 -R:X:am_NX_._NX:the_N2_N1 -0.5 -R:X:gegen_den_NX:on_N1 2 -RBS:den_terror 20.5 -RBT:on_terror -26 -R:X:NX_den_terror:the_N1_terror 29 -R:X:den_NX_den_NX:the_N1_N2 -110.5 -R:X:den_NX_den_NX:N2_the_N1 -95 -RBT:_the -1.5 -R:X:krieg:war -4.5 -RBS:_krieg -22 -R:X:musharraf:musharraf 43 -RBS:krieg_ -4.5 -RBT:_war -22 -RBS:_musharraf 66.5 -RBS:musharraf_ -23.5 -RBT:war_ -4.5 -R:X:musharraf_NX:musharraf_imposed_N1 23.5 -RBS:musharraf_X 23.5 -RBT:musharraf_imposed 23.5 -RBS:krieg_gegen 4.5 -R:X:musharraf_NX:musharraf_N1 107 -R:X:krieg_gegen:war_on 24.5 -RBT:war_on -17.5 -RBS:X_gegen -4.5 -R:X:musharraf_NX_,_als_NX:musharraf_N1_as_N2 -20 -R:X:musharraf_NX_,_als_NX:musharraf_N1_N2 -87 -R:X:krieg_gegen_den_NX:war_on_N1 -16 -R:X:krieg_gegen_den_terror:war_on_terror -26 -R:X:pervez:pervez 22 -RBS:_pervez 22 -RBS:pervez_ 57.5 -RBS:X_krieg 22 -RBT:_pervez 22 -RBT:pervez_ 22 -RBS:pervez_musharraf -57.5 -RBS:X_musharraf -9 -R:X:NX_musharraf:N1_musharraf -9 -R:X:den_NX_gegen_den:the_N1_on -4.5 -R:X:den_NX_den_terror:the_N1_terror -3 -R:X:NX_krieg_gegen_den_terror:N1_war_on_terror 22 -R:X:den_NX_den_terror_NX:N2_the_N1_terror -1.5 -RBT:_project 91 -RBS:hat_ 2 -RBS:X_- 14 -R:X:NX_-:,_N1 48.5 -R:X:NX_-:N1_months_of 32 -R:X:NX_-:N1_relief_and 64 -R:X:NX_-:N1_'s -144.5 -RBS:hat_X -198 -R:X:und_NX_terror_NX:and_N2_N1_terror -4.5 -RBT:and_ -4.5 -R:X:sorgen:bring -19 -RBS:X_pervez -22 -RBT:_bring -19 -RBT:bring_ -19 -R:X:sorgen:ensure 19 -RBT:_ensure 19 -RBT:ensure_ 19 -R:X:NX_-_NX:N1_N2_security -4 -R:X:NX_projekt_NX:N2_N1_project -156 -R:X:NX_-_NX_.:N1_N2_. 18 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-RBS:_unabhängige 127 -RBS:unabhängige_ -197 -RBT:_independent 343 -RBT:independent_ 38 -RBT:_september -13.5 -R:X:unabhängige:unabhängige -198 -RBT:_unabhängige -198 -RBS:ein_X 9.5 -RBT:unabhängige_ -198 -RBS:september_X -14.5 -R:X:unabhängige_NX:independent_N1 287 -R:X:ein_NX:an_N1 132 -R:X:ein_NX:any_N1 25 -RBS:unabhängige_X 197 -R:X:NX_justiz:N1_judiciary 85.5 -R:X:NX_an_der_macht_NX:N1_of_power_N2 -27.5 -RBS:X_justiz 1 -R:X:NX_justiz_NX:N1_judiciary_N2 -43 -R:X:NX_justiz_und:N1_judiciary_and 15.5 -RBS:_11 -13.5 -R:X:NX_unabhängige:N1_independent -37 -R:X:ein_NX:a_N1 -93 -RBS:X_unabhängige -127 -R:X:ein_NX:one_N1 -15 -R:X:NX_unabhängige_NX:N1_independent_N2 -90 -R:X:ein_NX:-_N1 -11.5 -R:X:NX_ein_NX:an_N1_N2 -6 -R:X:NX_ein_NX:be_transformed_N1_N2 -22 -RBS:X_, -3.5 -RBS:september_2001 14.5 -RBT:,_2001 14.5 -R:X:NX_,:to_N1 68 -R:X:NX_,:N1__ 1 -R:X:NX_,:N1_-- -172.5 -R:X:11_._september_2001_NX:september_11_,_2001_N1 -13.5 -R:X:die_NX_und_NX:the_N1_N2 -10 -R:X:NX_,:N1_for -127.5 -R:X:NX_,:N1_in -13.5 -R:X:NX_,:N1_of -55 -R:X:NX_,:N1_on 257.5 -R:X:NX_,:N1_out -58 -RBS:am_11 13.5 -R:X:die_NX_justiz_NX_die:the_N1_judiciary_N2 -57 -R:X:NX_,:N1_refuses_to -232.5 -R:X:die_NX_und_die:the_N1_and 148 -R:X:die_NX_und_die:the_N1_and_the -2.5 -RBT:the_september 13.5 -R:X:die_NX_die_NX:the_N1_N2 -3 -R:X:am_11_._september_NX:the_september_11_,_N1 -14.5 -R:X:die_NX_und_die_NX:the_N1_and_N2 -32 -RBS:zu_ 672 -R:X:NX_,_NX:N1_,_N2 -78 -R:X:NX_,_NX:N1_N2_, 80 -R:X:am_11_._september_2001:the_september_11_,_2001 28 -R:X:zu:for -5 -R:X:zu:in -7 -R:X:zu:to 23 -R:X:taliban:taliban -251.5 -RBS:_taliban -223.5 -RBS:taliban_ -157.5 -R:X:zu:with -6 -R:X:verzweifelten:desperate 28.5 -RBT:_taliban -205.5 -RBT:_desperate 28.5 -RBT:taliban_ -107 -RBT:desperate_ 28.5 -R:X:taliban_NX:taliban_N1 28 -R:X:verzweifelten:verzweifelten -28.5 -RBS:taliban_X 157.5 -R:X:NX_zu:to_N1 -229 -RBT:_verzweifelten -28.5 -R:X:den_taliban:the_taliban 144.5 -RBT:verzweifelten_ -28.5 -RBS:den_taliban 223.5 -RBT:the_taliban 144.5 -R:X:NX_zu:N1_for -152 -R:X:NX_zu:N1_in -6 -R:X:NX_zu:N1_is 251 -R:X:NX_zu:N1_of -49.5 -RBS:_dem 22 -RBT:_its 458 -RBT:its_ 337 -R:X:NX_den_taliban:N1_taliban -50.5 -R:X:NX_den_taliban_NX:N1_taliban_N2 -2.5 -R:X:NX_den_taliban_NX:N2_N1_taliban 132 -R:X:erklärte:declared -8 -RBS:_erklärte -185.5 -RBS:erklärte_ -124.5 -RBT:_declaring -9 -R:X:erklärte:erklärte -116.5 -RBT:_erklärte -116.5 -RBT:erklärte_ -116.5 -R:X:erklärte_NX:declared_N1 -52 -RBS:erklärte_X -61 -RBS:jener_ -62.5 -R:X:erklärte_NX:declaring_N1 -9 -RBS:erklärte_, 185.5 -R:X:NX_jener:N1_of -62.5 -R:X:dem_NX:the_N1 22 -R:X:verkaufen:sell -153 -RBS:_verkaufen -153 -RBS:verkaufen_ -140.5 -RBT:sell_ -153 -RBS:bereit_ 86 -RBS:zu_verkaufen 153 -RBS:_bemühen -2.5 -R:X:bereit:bereit 86 -RBT:_bereit 86 -RBT:bereit_ 86 -R:X:bereit_NX:ready_N1 -31 -RBS:bereit_X -86 -R:X:bereit_NX:N1_ready -55 -RBS:X_zum 30 -R:X:bemühen:bemühen -2.5 -R:X:NX_erklärte_,:N1_, 110 -RBT:_bemühen -2.5 -RBS:X_erklärte 185.5 -RBT:bemühen_ -2.5 -R:X:NX_erklärte_,_NX:N1_,_N2 75.5 -RBS:in_X 22 -RBS:_sich -17.5 -R:X:NX_zu_verkaufen:sell_N1 12.5 -RBS:sich_ -17.5 -R:X:NX_zum_NX:N2_to_further_N1 30 -RBS:_das 45 -RBS:das_ 2.5 -RBT:to_further 30 -RBT:_it -381 -RBT:it_ 3 -RBT:_so 172.5 -RBT:so_ -74.5 -RBT:_this 9.5 -RBT:this_ -11.5 -RBS:X_dem -22 -R:X:das_NX:a_growing_N1 77 -RBS:das_X -2.5 -RBT:a_growing -41 -R:X:das_NX:be_N1 169 -R:X:das_NX:its_N1 -95 -R:X:das_NX:so_N1 -38 -RBS:X_sein 91.5 -R:X:das_NX:the_N1 -80 done --- Best iteration: 2 [SCORE 'stupid_bleu'=0.37119]. -This took 0.6 min. +This took 0.55 min. -- cgit v1.2.3