moses-smt/mosesdecoder
1
1
Fork 0
mirror of https://github.com/moses-smt/mosesdecoder.git synced 2024-11-10 10:59:21 +03:00
Code Issues Packages Projects Releases Wiki Activity
0e156afd5b
mosesdecoder/contrib/mert-moses-multi.pl
Hieu Hoang 8d57651d0f move mert-moses-multi.pl
2012-07-06 12:58:06 +01:00

1530 lines
56 KiB
Perl
Executable File
Raw Blame History

#!/usr/bin/perl -w
# $Id$
# Usage:
# mert-moses.pl <foreign> <english> <decoder-executable> <decoder-config>
# For other options see below or run 'mert-moses.pl --help'
#
# NB: This is a variant of of mert-moses.pl for use with the interpolated scorer
# (MergeScorer) described in the following paper:
#
# "Optimising Multiple Metrics with MERT" by Christophe Servan and Holger Schwenk,
# Prague Bulletin of Mathematical Linguistics 96 (2011) p109-117
# http://www-lium.univ-lemans.fr/~servan/publications/Servan_PBML_2011.pdf
#
# If you are not using MergeScorer, then you should use the mert-moses.pl script instead
#
# Notes:
# <foreign> and <english> should be raw text files, one sentence per line
# <english> can be a prefix, in which case the files are <english>0, <english>1, etc. are used
# Excerpts from revision history
# Sept 2011 multi-threaded mert (Barry Haddow)
# 3 Aug 2011 Added random directions, historic best, pairwise ranked (PK)
# Jul 2011 simplifications (Ondrej Bojar)
# -- rely on moses' -show-weights instead of parsing moses.ini
# ... so moses is also run once *before* mert starts, checking
# the model to some extent
# -- got rid of the 'triples' mess;
# use --range to supply bounds for random starting values:
# --range tm:-3..3 --range lm:-3..3
# 5 Aug 2009 Handling with different reference length policies (shortest, average, closest) for BLEU
# and case-sensistive/insensitive evaluation (Nicola Bertoldi)
# 5 Jun 2008 Forked previous version to support new mert implementation.
# 13 Feb 2007 Better handling of default values for lambda, now works with multiple
# models and lexicalized reordering
# 11 Oct 2006 Handle different input types through parameter --inputype=[0|1]
# (0 for text, 1 for confusion network, default is 0) (Nicola Bertoldi)
# 10 Oct 2006 Allow skip of filtering of phrase tables (--no-filter-phrase-table)
# useful if binary phrase tables are used (Nicola Bertoldi)
# 28 Aug 2006 Use either closest or average or shortest (default) reference
# length as effective reference length
# Use either normalization or not (default) of texts (Nicola Bertoldi)
# 31 Jul 2006 move gzip run*.out to avoid failure wit restartings
# adding default paths
# 29 Jul 2006 run-filter, score-nbest and mert run on the queue (Nicola; Ondrej had to type it in again)
# 28 Jul 2006 attempt at foolproof usage, strong checking of input validity, merged the parallel and nonparallel version (Ondrej Bojar)
# 27 Jul 2006 adding the safesystem() function to handle with process failure
# 22 Jul 2006 fixed a bug about handling relative path of configuration file (Nicola Bertoldi)
# 21 Jul 2006 adapted for Moses-in-parallel (Nicola Bertoldi)
# 18 Jul 2006 adapted for Moses and cleaned up (PK)
# 21 Jan 2005 unified various versions, thorough cleanup (DWC)
# now indexing accumulated n-best list solely by feature vectors
# 14 Dec 2004 reimplemented find_threshold_points in C (NMD)
# 25 Oct 2004 Use either average or shortest (default) reference
# length as effective reference length (DWC)
# 13 Oct 2004 Use alternative decoders (DWC)
# Original version by Philipp Koehn
use FindBin qw($RealBin);
use File::Basename;
use File::Path;
my $SCRIPTS_ROOTDIR = $RealBin;
$SCRIPTS_ROOTDIR =~ s/\/training$//;
$SCRIPTS_ROOTDIR = $ENV{"SCRIPTS_ROOTDIR"} if defined($ENV{"SCRIPTS_ROOTDIR"});
## We preserve this bit of comments to keep the traditional weight ranges.
# "w" => [ [ 0.0, -1.0, 1.0 ] ], # word penalty
# "d" => [ [ 1.0, 0.0, 2.0 ] ], # lexicalized reordering model
# "lm" => [ [ 1.0, 0.0, 2.0 ] ], # language model
# "g" => [ [ 1.0, 0.0, 2.0 ], # generation model
# [ 1.0, 0.0, 2.0 ] ],
# "tm" => [ [ 0.3, 0.0, 0.5 ], # translation model
# [ 0.2, 0.0, 0.5 ],
# [ 0.3, 0.0, 0.5 ],
# [ 0.2, 0.0, 0.5 ],
# [ 0.0,-1.0, 1.0 ] ], # ... last weight is phrase penalty
# "lex"=> [ [ 0.1, 0.0, 0.2 ] ], # global lexical model
# "I" => [ [ 0.0,-1.0, 1.0 ] ], # input lattice scores
# moses.ini file uses FULL names for lambdas, while this training script
# internally (and on the command line) uses ABBR names.
my @ABBR_FULL_MAP = qw(d=weight-d lm=weight-l tm=weight-t w=weight-w
g=weight-generation lex=weight-lex I=weight-i);
my %ABBR2FULL = map {split/=/,$_,2} @ABBR_FULL_MAP;
my %FULL2ABBR = map {my ($a, $b) = split/=/,$_,2; ($b, $a);} @ABBR_FULL_MAP;
my $minimum_required_change_in_weights = 0.00001;
# stop if no lambda changes more than this
my $verbose = 0;
my $usage = 0; # request for --help
my $___WORKING_DIR = "mert-work";
my $___DEV_F = undef; # required, input text to decode
my $___DEV_E = undef; # required, basename of files with references
my $___DECODER = undef; # required, pathname to the decoder executable
my $___CONFIG = undef; # required, pathname to startup ini file
my $___N_BEST_LIST_SIZE = 100;
my $queue_flags = "-hard"; # extra parameters for parallelizer
# the -l ws0ssmt was relevant only to JHU 2006 workshop
my $___JOBS = undef; # if parallel, number of jobs to use (undef or 0 -> serial)
my $___DECODER_FLAGS = ""; # additional parametrs to pass to the decoder
my $continue = 0; # should we try to continue from the last saved step?
my $skip_decoder = 0; # and should we skip the first decoder run (assuming we got interrupted during mert)
my $___FILTER_PHRASE_TABLE = 1; # filter phrase table
my $___PREDICTABLE_SEEDS = 0;
my $___START_WITH_HISTORIC_BESTS = 0; # use best settings from all previous iterations as starting points [Foster&Kuhn,2009]
my $___RANDOM_DIRECTIONS = 0; # search in random directions only
my $___NUM_RANDOM_DIRECTIONS = 0; # number of random directions, also works with default optimizer [Cer&al.,2008]
my $___PAIRWISE_RANKED_OPTIMIZER = 0; # use Hopkins&May[2011]
my $___PRO_STARTING_POINT = 0; # get a starting point from pairwise ranked optimizer
my $___RANDOM_RESTARTS = 20;
my $___HISTORIC_INTERPOLATION = 0; # interpolate optimize weights with previous iteration's weights [Hopkins&May,2011,5.4.3]
my $__THREADS = 0;
# Parameter for effective reference length when computing BLEU score
# Default is to use shortest reference
# Use "--shortest" to use shortest reference length
# Use "--average" to use average reference length
# Use "--closest" to use closest reference length
# Only one between --shortest, --average and --closest can be set
# If more than one choice the defualt (--shortest) is used
my $___SHORTEST = 0;
my $___AVERAGE = 0;
my $___CLOSEST = 0;
# Use "--nocase" to compute case-insensitive scores
my $___NOCASE = 0;
# Use "--nonorm" to non normalize translation before computing scores
my $___NONORM = 0;
# set 0 if input type is text, set 1 if input type is confusion network
my $___INPUTTYPE = 0;
my $mertdir = undef; # path to new mert directory
my $mertargs = undef; # args to pass through to mert & extractor
my $mertmertargs = undef; # args to pass through to mert only
my $filtercmd = undef; # path to filter-model-given-input.pl
my $filterfile = undef;
my $qsubwrapper = undef;
my $moses_parallel_cmd = undef;
my $scorer_config = "BLEU:1";
my $old_sge = 0; # assume sge<6.0
my $___CONFIG_ORIG = undef; # pathname to startup ini file before filtering
my $___ACTIVATE_FEATURES = undef; # comma-separated (or blank-separated) list of features to work on
# if undef work on all features
# (others are fixed to the starting values)
my $___RANGES = undef;
my $prev_aggregate_nbl_size = -1; # number of previous step to consider when loading data (default =-1)
# -1 means all previous, i.e. from iteration 1
# 0 means no previous data, i.e. from actual iteration
# 1 means 1 previous data , i.e. from the actual iteration and from the previous one
# and so on
my $maximum_iterations = 25;
use strict;
use Getopt::Long;
GetOptions(
"working-dir=s" => \$___WORKING_DIR,
"input=s" => \$___DEV_F,
"inputtype=i" => \$___INPUTTYPE,
"refs=s" => \$___DEV_E,
"decoder=s" => \$___DECODER,
"config=s" => \$___CONFIG,
"nbest=i" => \$___N_BEST_LIST_SIZE,
"queue-flags=s" => \$queue_flags,
"jobs=i" => \$___JOBS,
"decoder-flags=s" => \$___DECODER_FLAGS,
"continue" => \$continue,
"skip-decoder" => \$skip_decoder,
"shortest" => \$___SHORTEST,
"average" => \$___AVERAGE,
"closest" => \$___CLOSEST,
"nocase" => \$___NOCASE,
"nonorm" => \$___NONORM,
"help" => \$usage,
"verbose" => \$verbose,
"mertdir=s" => \$mertdir,
"mertargs=s" => \$mertargs,
"mertmertargs=s" => \$mertmertargs,
"rootdir=s" => \$SCRIPTS_ROOTDIR,
"filtercmd=s" => \$filtercmd, # allow to override the default location
"filterfile=s" => \$filterfile, # input to filtering script (useful for lattices/confnets)
"qsubwrapper=s" => \$qsubwrapper, # allow to override the default location
"mosesparallelcmd=s" => \$moses_parallel_cmd, # allow to override the default location
"old-sge" => \$old_sge, #passed to moses-parallel
"filter-phrase-table!" => \$___FILTER_PHRASE_TABLE, # (dis)allow of phrase tables
"predictable-seeds" => \$___PREDICTABLE_SEEDS, # make random restarts deterministic
"historic-bests" => \$___START_WITH_HISTORIC_BESTS, # use best settings from all previous iterations as starting points
"random-directions" => \$___RANDOM_DIRECTIONS, # search only in random directions
"number-of-random-directions=i" => \$___NUM_RANDOM_DIRECTIONS, # number of random directions
"random-restarts=i" => \$___RANDOM_RESTARTS, # number of random restarts
"activate-features=s" => \$___ACTIVATE_FEATURES, #comma-separated (or blank-separated) list of features to work on (others are fixed to the starting values)
"range=s@" => \$___RANGES,
"prev-aggregate-nbestlist=i" => \$prev_aggregate_nbl_size, #number of previous step to consider when loading data (default =-1, i.e. all previous)
"maximum-iterations=i" => \$maximum_iterations,
"pairwise-ranked" => \$___PAIRWISE_RANKED_OPTIMIZER,
"pro-starting-point" => \$___PRO_STARTING_POINT,
"historic-interpolation=f" => \$___HISTORIC_INTERPOLATION,
"threads=i" => \$__THREADS,
"sc-config=s" => \$scorer_config
) or exit(1);
# the 4 required parameters can be supplied on the command line directly
# or using the --options
if (scalar @ARGV == 4) {
# required parameters: input_file references_basename decoder_executable
$___DEV_F = shift;
$___DEV_E = shift;
$___DECODER = shift;
$___CONFIG = shift;
}
if ($usage || !defined $___DEV_F || !defined $___DEV_E || !defined $___DECODER || !defined $___CONFIG) {
print STDERR "usage: $0 input-text references decoder-executable decoder.ini
Options:
--working-dir=mert-dir ... where all the files are created
--nbest=100 ... how big nbestlist to generate
--jobs=N ... set this to anything to run moses in parallel
--mosesparallelcmd=STR ... use a different script instead of moses-parallel
--queue-flags=STRING ... anything you with to pass to qsub, eg.
'-l ws06osssmt=true'. The default is: '-hard'
To reset the parameters, please use
--queue-flags=' '
(i.e. a space between the quotes).
--decoder-flags=STRING ... extra parameters for the decoder
--continue ... continue from the last successful iteration
--skip-decoder ... skip the decoder run for the first time,
assuming that we got interrupted during
optimization
--shortest --average --closest
... Use shortest/average/closest reference length
as effective reference length (mutually exclusive)
--nocase ... Do not preserve case information; i.e.
case-insensitive evaluation (default is false).
--nonorm ... Do not use text normalization (flag is not active,
i.e. text is NOT normalized)
--filtercmd=STRING ... path to filter-model-given-input.pl
--filterfile=STRING ... path to alternative to input-text for filtering
model. useful for lattice decoding
--rootdir=STRING ... where do helpers reside (if not given explicitly)
--mertdir=STRING ... path to new mert implementation
--mertargs=STRING ... extra args for mert, eg. to specify scorer
--mertmertargs=STRING ... extra args for mert only,
--scorenbestcmd=STRING ... path to score-nbest.py
--old-sge ... passed to parallelizers, assume Grid Engine < 6.0
--inputtype=[0|1|2] ... Handle different input types: (0 for text,
1 for confusion network, 2 for lattices,
default is 0)
--no-filter-phrase-table ... disallow filtering of phrase tables
(useful if binary phrase tables are available)
--random-restarts=INT ... number of random restarts (default: 20)
--predictable-seeds ... provide predictable seeds to mert so that random
restarts are the same on every run
--range=tm:0..1,-1..1 ... specify min and max value for some features
--range can be repeated as needed.
The order of the various --range specifications
is important only within a feature name.
E.g.:
--range=tm:0..1,-1..1 --range=tm:0..2
is identical to:
--range=tm:0..1,-1..1,0..2
but not to:
--range=tm:0..2 --range=tm:0..1,-1..1
--activate-features=STRING ... comma-separated list of features to optimize,
others are fixed to the starting values
default: optimize all features
example: tm_0,tm_4,d_0
--prev-aggregate-nbestlist=INT ... number of previous step to consider when
loading data (default = $prev_aggregate_nbl_size)
-1 means all previous, i.e. from iteration 1
0 means no previous data, i.e. only the
current iteration
N means this and N previous iterations
--maximum-iterations=ITERS ... Maximum number of iterations. Default: $maximum_iterations
--random-directions ... search only in random directions
--number-of-random-directions=int ... number of random directions
(also works with regular optimizer, default: 0)
--pairwise-ranked ... Use PRO for optimisation (Hopkins and May, emnlp 2011)
--pro-starting-point ... Use PRO to get a starting point for MERT
--threads=NUMBER ... Use multi-threaded mert (must be compiled in).
--historic-interpolation ... Interpolate optimized weights with prior iterations' weight
(parameter sets factor [0;1] given to current weights)
--sc-config=STRING ... extra option to specify multiscoring.
";
exit 1;
}
# Check validity of input parameters and set defaults if needed
print STDERR "Using WORKING_DIR: $___WORKING_DIR\n";
print STDERR "Using SCRIPTS_ROOTDIR: $SCRIPTS_ROOTDIR\n";
# path of script for filtering phrase tables and running the decoder
$filtercmd="$SCRIPTS_ROOTDIR/training/filter-model-given-input.pl" if !defined $filtercmd;
if ( ! -x $filtercmd && ! $___FILTER_PHRASE_TABLE) {
print STDERR "Filtering command not found: $filtercmd.\n";
print STDERR "Use --filtercmd=PATH to specify a valid one or --no-filter-phrase-table\n";
exit 1;
}
$qsubwrapper="$SCRIPTS_ROOTDIR/generic/qsub-wrapper.pl" if !defined $qsubwrapper;
$moses_parallel_cmd = "$SCRIPTS_ROOTDIR/generic/moses-parallel.pl"
if !defined $moses_parallel_cmd;
if (!defined $mertdir) {
$mertdir = "/usr/bin";
print STDERR "Assuming --mertdir=$mertdir\n";
}
my $mert_extract_cmd = "$mertdir/extractor";
my $mert_mert_cmd = "$mertdir/mert";
die "Not executable: $mert_extract_cmd" if ! -x $mert_extract_cmd;
die "Not executable: $mert_mert_cmd" if ! -x $mert_mert_cmd;
my $pro_optimizer = "$mertdir/megam_i686.opt"; # or set to your installation
if (($___PAIRWISE_RANKED_OPTIMIZER || $___PRO_STARTING_POINT) && ! -x $pro_optimizer) {
print "did not find $pro_optimizer, installing it in $mertdir\n";
`cd $mertdir; wget http://www.cs.utah.edu/~hal/megam/megam_i686.opt.gz;`;
`gunzip $pro_optimizer.gz`;
`chmod +x $pro_optimizer`;
die("ERROR: Installation of megam_i686.opt failed! Install by hand from http://www.cs.utah.edu/~hal/megam/") unless -x $pro_optimizer;
}
$mertargs = "" if !defined $mertargs;
my $scconfig = undef;
if ($mertargs =~ /\-\-scconfig\s+(.+?)(\s|$)/){
$scconfig=$1;
$scconfig =~ s/\,/ /g;
$mertargs =~ s/\-\-scconfig\s+(.+?)(\s|$)//;
}
# handling reference lengh strategy
if (($___CLOSEST + $___AVERAGE + $___SHORTEST) > 1){
die "You can specify just ONE reference length strategy (closest or shortest or average) not both\n";
}
if ($___SHORTEST){
$scconfig .= " reflen:shortest";
}elsif ($___AVERAGE){
$scconfig .= " reflen:average";
}elsif ($___CLOSEST){
$scconfig .= " reflen:closest";
}
# handling case-insensitive flag
if ($___NOCASE) {
$scconfig .= " case:false";
}else{
$scconfig .= " case:true";
}
$scconfig =~ s/^\s+//;
$scconfig =~ s/\s+$//;
$scconfig =~ s/\s+/,/g;
$scconfig = "--scconfig $scconfig" if ($scconfig);
my $mert_extract_args=$mertargs;
$mert_extract_args .=" $scconfig";
$mertmertargs = "" if !defined $mertmertargs;
my $mert_mert_args="$mertargs $mertmertargs";
$mert_mert_args =~ s/\-+(binary|b)\b//;
$mert_mert_args .=" $scconfig";
if ($___ACTIVATE_FEATURES){ $mert_mert_args .=" -o \"$___ACTIVATE_FEATURES\""; }
my ($just_cmd_filtercmd,$x) = split(/ /,$filtercmd);
die "Not executable: $just_cmd_filtercmd" if ! -x $just_cmd_filtercmd;
die "Not executable: $moses_parallel_cmd" if defined $___JOBS && ! -x $moses_parallel_cmd;
die "Not executable: $qsubwrapper" if defined $___JOBS && ! -x $qsubwrapper;
die "Not executable: $___DECODER" if ! -x $___DECODER;
my $input_abs = ensure_full_path($___DEV_F);
die "File not found: $___DEV_F (interpreted as $input_abs)."
if ! -e $input_abs;
$___DEV_F = $input_abs;
# Option to pass to qsubwrapper and moses-parallel
my $pass_old_sge = $old_sge ? "-old-sge" : "";
my $decoder_abs = ensure_full_path($___DECODER);
die "File not executable: $___DECODER (interpreted as $decoder_abs)."
if ! -x $decoder_abs;
$___DECODER = $decoder_abs;
my $ref_abs = ensure_full_path($___DEV_E);
# check if English dev set (reference translations) exist and store a list of all references
my @references;
if (-e $ref_abs) {
push @references, $ref_abs;
}
else {
# if multiple file, get a full list of the files
my $part = 0;
while (-e $ref_abs.$part) {
push @references, $ref_abs.$part;
$part++;
}
die("Reference translations not found: $___DEV_E (interpreted as $ref_abs)") unless $part;
}
my $config_abs = ensure_full_path($___CONFIG);
die "File not found: $___CONFIG (interpreted as $config_abs)."
if ! -e $config_abs;
$___CONFIG = $config_abs;
# moses should use our config
if ($___DECODER_FLAGS =~ /(^|\s)-(config|f) /
|| $___DECODER_FLAGS =~ /(^|\s)-(ttable-file|t) /
|| $___DECODER_FLAGS =~ /(^|\s)-(distortion-file) /
|| $___DECODER_FLAGS =~ /(^|\s)-(generation-file) /
|| $___DECODER_FLAGS =~ /(^|\s)-(lmodel-file) /
|| $___DECODER_FLAGS =~ /(^|\s)-(global-lexical-file) /
) {
die "It is forbidden to supply any of -config, -ttable-file, -distortion-file, -generation-file or -lmodel-file in the --decoder-flags.\nPlease use only the --config option to give the config file that lists all the supplementary files.";
}
# as weights are normalized in the next steps (by cmert)
# normalize initial LAMBDAs, too
my $need_to_normalize = 1;
#store current directory and create the working directory (if needed)
my $cwd = `pawd 2>/dev/null`;
if(!$cwd){$cwd = `pwd`;}
chomp($cwd);
mkpath($___WORKING_DIR);
{
# open local scope
#chdir to the working directory
chdir($___WORKING_DIR) or die "Can't chdir to $___WORKING_DIR";
# fixed file names
my $mert_outfile = "mert.out";
my $mert_logfile = "mert.log";
my $weights_in_file = "init.opt";
my $weights_out_file = "weights.txt";
# set start run
my $start_run = 1;
my $bestpoint = undef;
my $devbleu = undef;
my $sparse_weights_file = undef;
my $prev_feature_file = undef;
my $prev_score_file = undef;
my $prev_init_file = undef;
if ($___FILTER_PHRASE_TABLE) {
my $outdir = "filtered";
if (-e "$outdir/moses.ini") {
print STDERR "Assuming the tables are already filtered, reusing $outdir/moses.ini\n";
}
else {
# filter the phrase tables with respect to input, use --decoder-flags
print STDERR "filtering the phrase tables... ".`date`;
my $___FILTER_F = $___DEV_F;
$___FILTER_F = $filterfile if (defined $filterfile);
my $cmd = "$filtercmd ./$outdir $___CONFIG $___FILTER_F";
&submit_or_exec($cmd,"filterphrases.out","filterphrases.err");
}
# make a backup copy of startup ini filepath
$___CONFIG_ORIG = $___CONFIG;
# the decoder should now use the filtered model
$___CONFIG = "$outdir/moses.ini";
}
else{
# do not filter phrase tables (useful if binary phrase tables are available)
# use the original configuration file
$___CONFIG_ORIG = $___CONFIG;
}
# we run moses to check validity of moses.ini and to obtain all the feature
# names
my $featlist = get_featlist_from_moses($___CONFIG);
$featlist = insert_ranges_to_featlist($featlist, $___RANGES);
# Mark which features are disabled:
if (defined $___ACTIVATE_FEATURES) {
my %enabled = map { ($_, 1) } split /[, ]+/, $___ACTIVATE_FEATURES;
my %cnt;
for(my $i=0; $i<scalar(@{$featlist->{"names"}}); $i++) {
my $name = $featlist->{"names"}->[$i];
$cnt{$name} = 0 if !defined $cnt{$name};
$featlist->{"enabled"}->[$i] = $enabled{$name."_".$cnt{$name}};
$cnt{$name}++;
}
} else {
# all enabled
for(my $i=0; $i<scalar(@{$featlist->{"names"}}); $i++) {
$featlist->{"enabled"}->[$i] = 1;
}
}
print STDERR "MERT starting values and ranges for random generation:\n";
for(my $i=0; $i<scalar(@{$featlist->{"names"}}); $i++) {
my $name = $featlist->{"names"}->[$i];
my $val = $featlist->{"values"}->[$i];
my $min = $featlist->{"mins"}->[$i];
my $max = $featlist->{"maxs"}->[$i];
my $enabled = $featlist->{"enabled"}->[$i];
printf STDERR " %5s = %7.3f", $name, $val;
if ($enabled) {
printf STDERR " (%5.2f .. %5.2f)\n", $min, $max;
} else {
print STDERR " --- inactive, not optimized ---\n";
}
}
if ($continue) {
# getting the last finished step
print STDERR "Trying to continue an interrupted optimization.\n";
open IN, "finished_step.txt" or die "Failed to find the step number, failed to read finished_step.txt";
my $step = <IN>;
chomp $step;
close IN;
print STDERR "Last finished step is $step\n";
# getting the first needed step
my $firststep;
if ($prev_aggregate_nbl_size==-1){
$firststep=1;
}
else{
$firststep=$step-$prev_aggregate_nbl_size+1;
$firststep=($firststep>0)?$firststep:1;
}
#checking if all needed data are available
if ($firststep<=$step){
print STDERR "First previous needed data index is $firststep\n";
print STDERR "Checking whether all needed data (from step $firststep to step $step) are available\n";
for (my $prevstep=$firststep; $prevstep<=$step;$prevstep++){
print STDERR "Checking whether data of step $prevstep are available\n";
if (! -e "run$prevstep.features.dat"){
die "Can't start from step $step, because run$prevstep.features.dat was not found!";
}else{
if (defined $prev_feature_file){
$prev_feature_file = "${prev_feature_file},run$prevstep.features.dat";
}
else{
$prev_feature_file = "run$prevstep.features.dat";
}
}
if (! -e "run$prevstep.scores.dat"){
die "Can't start from step $step, because run$prevstep.scores.dat was not found!";
}else{
if (defined $prev_score_file){
$prev_score_file = "${prev_score_file},run$prevstep.scores.dat";
}
else{
$prev_score_file = "run$prevstep.scores.dat";
}
}
if (! -e "run$prevstep.${weights_in_file}"){
die "Can't start from step $step, because run$prevstep.${weights_in_file} was not found!";
}else{
if (defined $prev_init_file){
$prev_init_file = "${prev_init_file},run$prevstep.${weights_in_file}";
}
else{
$prev_init_file = "run$prevstep.${weights_in_file}";
}
}
}
if (! -e "run$step.weights.txt"){
die "Can't start from step $step, because run$step.weights.txt was not found!";
}
if (! -e "run$step.$mert_logfile"){
die "Can't start from step $step, because run$step.$mert_logfile was not found!";
}
if (! -e "run$step.best$___N_BEST_LIST_SIZE.out.gz"){
die "Can't start from step $step, because run$step.best$___N_BEST_LIST_SIZE.out.gz was not found!";
}
print STDERR "All needed data are available\n";
print STDERR "Loading information from last step ($step)\n";
my %dummy; # sparse features
($bestpoint,$devbleu) = &get_weights_from_mert("run$step.$mert_outfile","run$step.$mert_logfile",scalar @{$featlist->{"names"}},\%dummy);
die "Failed to parse mert.log, missed Best point there."
if !defined $bestpoint || !defined $devbleu;
print "($step) BEST at $step $bestpoint => $devbleu at ".`date`;
my @newweights = split /\s+/, $bestpoint;
# Sanity check: order of lambdas must match
sanity_check_order_of_lambdas($featlist,
"gunzip -c < run$step.best$___N_BEST_LIST_SIZE.out.gz |");
# update my cache of lambda values
$featlist->{"values"} = \@newweights;
}
else{
print STDERR "No previous data are needed\n";
}
$start_run = $step +1;
}
###### MERT MAIN LOOP
my $run=$start_run-1;
my $oldallsorted = undef;
my $allsorted = undef;
my $nbest_file=undef;
while(1) {
$run++;
if ($maximum_iterations && $run > $maximum_iterations) {
print "Maximum number of iterations exceeded - stopping\n";
last;
}
# run beamdecoder with option to output nbestlists
# the end result should be (1) @NBEST_LIST, a list of lists; (2) @SCORE, a list of lists of lists
print "run $run start at ".`date`;
# In case something dies later, we might wish to have a copy
create_config($___CONFIG, "./run$run.moses.ini", $featlist, $run, (defined$devbleu?$devbleu:"--not-estimated--"),$sparse_weights_file);
# skip running the decoder if the user wanted
if (!$skip_decoder) {
print "($run) run decoder to produce n-best lists\n";
$nbest_file = run_decoder($featlist, $run, $need_to_normalize);
$need_to_normalize = 0;
safesystem("gzip -f $nbest_file") or die "Failed to gzip run*out";
$nbest_file = $nbest_file.".gz";
}
else {
$nbest_file="run$run.best$___N_BEST_LIST_SIZE.out.gz";
print "skipped decoder run $run\n";
$skip_decoder = 0;
$need_to_normalize = 0;
}
# extract score statistics and features from the nbest lists
print STDERR "Scoring the nbestlist.\n";
my $base_feature_file = "features.dat";
my $base_score_file = "scores.dat";
my $feature_file = "run$run.${base_feature_file}";
my $score_file = "run$run.${base_score_file}";
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
my $cmd = "";
my $scorer_name;
my $scorer_weight;
$scorer_config=~s/ //g;
my @lists_scorer_config=split(",",$scorer_config);
$mert_mert_args=$mert_mert_args." --sctype MERGE ";
my $scorer_config_spec;
foreach $scorer_config_spec(@lists_scorer_config)
{
# print STDERR $scorer_config_spec."\n";
my @lists_scorer_config_spec=split(":",$scorer_config_spec);
$scorer_name=$lists_scorer_config_spec[0];
$scorer_weight=$lists_scorer_config_spec[1];
# print STDERR $scorer_name."\n";
# print STDERR $scorer_weight."\n";
$cmd = "$mert_extract_cmd $mert_extract_args --scfile $score_file.$scorer_name --ffile $feature_file.$scorer_name --sctype $scorer_name -r ".join(",", @references)." -n $nbest_file";
# print STDERR "LANCEMENT $scorer_name ********************************************\n";
&submit_or_exec($cmd,"extract.out.$scorer_name","extract.err.$scorer_name");
# print STDERR "FIN $scorer_name ************************************************** \n";
# print STDERR "executing $cmd\n";
# print STDERR "\n";
# safesystem("date");
# print STDERR "\n";
# if (defined $___JOBS) {
# safesystem("$qsubwrapper $pass_old_sge -command='$cmd' -queue-parameter=\"$queue_flags\" -stdout=extract.out.$scorer_name -stderr=extract.err.$scorer_name" )
# or die "$scorer_name Failed to submit extraction to queue (via $qsubwrapper)";
# } else {
# safesystem("$cmd > extract.out.$scorer_name 2> extract.err.$scorer_name") or die "$scorer_name Failed to do extraction of statistics.";
# }
# print FILE "$scorer_name $scorer_weight $score_file.$scorer_name $feature_file.$scorer_name\n";
}
# print STDERR "CREATION INI\n";
my @scorer_content;
my @feature_content;
my $fileIncrement=0;
my $minSizeIncrement=-1;
open(FILE,">merge.init") || die ("File creation ERROR : merge.init");
foreach $scorer_config_spec(@lists_scorer_config)
{
my @lists_scorer_config_spec=split(":",$scorer_config_spec);
$scorer_name=$lists_scorer_config_spec[0];
$scorer_weight=$lists_scorer_config_spec[1];
print FILE "$scorer_name $scorer_weight $score_file.$scorer_name $feature_file.$scorer_name\n";
my @tmp_load_content=`/bin/cat $score_file.$scorer_name`;
my @tmp_load_feat_content=`/bin/cat $feature_file.$scorer_name`;
my @tmp_content;
my @tmp_feat_content;
my $contentIncrement=0;
my @tmp_part_content;
my $increment_part=0;
while ($contentIncrement<scalar(@tmp_load_feat_content))
{
my $line=$tmp_load_feat_content[$contentIncrement];
chomp($line);
$line=~s/^[ ]+//g;
$line=~s/[ ]+$//g;
$line=~s/[ ]+/ /g;
push @tmp_part_content,$line;
if (rindex($line,"FEATURES_TXT_END")>-1)
{
$tmp_feat_content[$increment_part] = [ @tmp_part_content ];
$increment_part++;
@tmp_part_content=();
}
$contentIncrement++;
}
$contentIncrement=0;
$increment_part=0;
@tmp_part_content=();
while ($contentIncrement<scalar(@tmp_load_content))
{
my $line=$tmp_load_content[$contentIncrement];
chomp($line);
$line=~s/^[ ]+//g;
$line=~s/[ ]+$//g;
$line=~s/[ ]+/ /g;
push @tmp_part_content,$line;
if (rindex($line,"SCORES_TXT_END")>-1)
{
$tmp_content[$increment_part] = [ @tmp_part_content ];
$increment_part++;
@tmp_part_content=();
}
$contentIncrement++;
}
if ($minSizeIncrement<0 || $minSizeIncrement>$increment_part)
{
$minSizeIncrement=$increment_part;
}
$scorer_content[$fileIncrement] = [ @tmp_content ];
$feature_content[$fileIncrement] = [ @tmp_feat_content ];
# if ($fileIncrement==0)
# {
# `/bin/cp $feature_file.$scorer_name $feature_file`;
# }
$fileIncrement++;
}
close(FILE);
# print STDERR "\n";
# safesystem("date");
# print STDERR "\n";
# print STDERR "ON VA RASSEMBLER dans $score_file\n";
open(SCOREFILE,">$score_file") || die ("File creation ERROR : $score_file");
open(FEATFILE,">$feature_file") || die ("File creation ERROR : $feature_file");
my $newFileIncrement=0;
my $contentIncrement=0;
my $maxContent=100;
my $increment_part=0;
my $contentSize=scalar(@{$scorer_content[0]});
# print STDERR "TAILLE : ".$contentSize."|".$fileIncrement."|".$minSizeIncrement."\n";
while ($increment_part<$minSizeIncrement)
{
$contentIncrement=0;
# print STDERR "increment_part : $increment_part\n";
while ($contentIncrement< $maxContent)
{
# print STDERR "contentIncrement : $contentIncrement\n";
my $line="";
my $featureLine="";
my $createLines=1;
$newFileIncrement=0;
while($newFileIncrement< $fileIncrement)
{
# print STDERR "newFileIncrement : $newFileIncrement\n";
if (rindex($scorer_content[$newFileIncrement][$increment_part][$contentIncrement],"BEGIN")<0)
{
if (rindex($line,"SCORES_TXT_END")>-1)
{
# $line=$line;
# chomp($line);
}
elsif (rindex($scorer_content[$newFileIncrement][$increment_part][$contentIncrement],"SCORES_TXT_END")>-1)
{
$line=$scorer_content[$newFileIncrement][$increment_part][$contentIncrement];
$featureLine=$feature_content[$newFileIncrement][$increment_part][$contentIncrement];
}
else
{
$line=$line." ".$scorer_content[$newFileIncrement][$increment_part][$contentIncrement];
chomp($line);
if (length($featureLine)>0 && rindex($featureLine,$feature_content[$newFileIncrement][$increment_part][$contentIncrement])==0)
{
$featureLine=$feature_content[$newFileIncrement][$increment_part][$contentIncrement];
chomp($featureLine);
}
elsif (length($featureLine)>0)
{
# $createLines=0;
my @split_line=split(/[\s]+/,$featureLine);
my @split_line_input=split(/[\s]+/,$feature_content[$newFileIncrement][$increment_part][$contentIncrement]);
my $i=0;
$featureLine="";
for ($i=0;$i<scalar(@split_line_input);$i++)
{
$split_line_input[$i]=($split_line_input[$i]+$split_line[$i])/2;
$featureLine=$featureLine.$split_line_input[$i]." ";
}
}
elsif (length($featureLine)==0)
{
$featureLine=$feature_content[$newFileIncrement][$increment_part][$contentIncrement];
chomp($featureLine);
}
}
}
else
{
my @split_line_input=split(" ",$scorer_content[$newFileIncrement][$increment_part][$contentIncrement]);
my @split_line_feat_input=split(/[\s]+/,$feature_content[$newFileIncrement][$increment_part][$contentIncrement]);
my @split_line=split(" ",$line);
if (scalar(@split_line)>4)
{
$split_line_input[3]=$split_line[3]+$split_line_input[3];
}
if (scalar(@split_line_input)>4)
{
if (scalar(@split_line)>4)
{
if ($split_line[2]<$split_line_input[2])
{
$split_line_input[2]=$split_line[2];
}
}
else
{
## Nothing to do
}
$maxContent=$split_line_input[2]+2;
# print STDERR "maxContent : $maxContent : ".$scorer_content[$newFileIncrement][$increment_part][$contentIncrement]."\n";
}
else
{
die "scoreFile bad format : ".$scorer_content[$newFileIncrement][$increment_part][$contentIncrement]."\n";
}
$line=$split_line_input[0]." ".$split_line_input[1]." ".$split_line_input[2]." ".$split_line_input[3]." MERGE";
my $i=0;
$featureLine="";
for ($i=0;$i<scalar(@split_line_feat_input);$i++)
{
# $split_line_feat_input[$i]=($split_line_input[$i]+$split_line[$i])/2;
if ($i==2)
{
$featureLine=$featureLine.$split_line_input[2]." ";
}
else
{
$featureLine=$featureLine.$split_line_feat_input[$i]." ";
}
}
# $featureLine=$feature_content[$newFileIncrement][$increment_part][$contentIncrement];
}
$newFileIncrement++;
}
$line=~s/^[ ]+//g;
$line=~s/[ ]+$//g;
$line=~s/[ ]+/ /g;
# $line=~s/( SCORES_TXT_END[^!]*)//g;
# print STDERR $line."\n";
# if ($createLines>0)
# {
print SCOREFILE $line."\n";
print FEATFILE $featureLine."\n";
# }
$contentIncrement++;
}
$increment_part++;
}
close(SCOREFILE);
close(FEATFILE);
# `/bin/cp `
# $cmd="$mertdir/mergeWeights -c merge.init -s $score_file -f $feature_file";
# print STDERR "executing : $cmd\n";
# if (defined $___JOBS) {
# safesystem("$qsubwrapper $pass_old_sge -command='$cmd' -queue-parameter=\"$queue_flags\" -stdout=mergeWeight.out.MERGE -stderr=mergeWeight.err.MERGE" )
# or die "MERGE Failed to submit extraction to queue (via $qsubwrapper)";
# } else {
# safesystem("$cmd > mergeWeight.out.MERGE 2> mergeWeight.err.MERGE") or die "MERGE Failed to do extraction of statistics.";
# }
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# my $cmd = "$mert_extract_cmd $mert_extract_args --scfile $score_file --ffile $feature_file -r ".join(",", @references)." -n $nbest_file";
# &submit_or_exec($cmd,"extract.out","extract.err");
# Create the initial weights file for mert: init.opt
my @MIN = @{$featlist->{"mins"}};
my @MAX = @{$featlist->{"maxs"}};
my @CURR = @{$featlist->{"values"}};
my @NAME = @{$featlist->{"names"}};
open(OUT,"> $weights_in_file")
or die "Can't write $weights_in_file (WD now $___WORKING_DIR)";
print OUT join(" ", @CURR)."\n";
print OUT join(" ", @MIN)."\n"; # this is where we could pass MINS
print OUT join(" ", @MAX)."\n"; # this is where we could pass MAXS
close(OUT);
# print join(" ", @NAME)."\n";
# make a backup copy labelled with this run number
safesystem("\\cp -f $weights_in_file run$run.$weights_in_file") or die;
my $DIM = scalar(@CURR); # number of lambdas
# run mert
$cmd = "$mert_mert_cmd -d $DIM $mert_mert_args";
my $mert_settings = " -n $___RANDOM_RESTARTS";
if ($___PREDICTABLE_SEEDS) {
my $seed = $run * 1000;
$mert_settings .= " -r $seed";
}
if ($___RANDOM_DIRECTIONS) {
if ($___NUM_RANDOM_DIRECTIONS == 0) {
$mert_settings .= " -m 50";
}
$mert_settings .= " -t random-direction";
}
if ($___NUM_RANDOM_DIRECTIONS) {
$mert_settings .= " -m $___NUM_RANDOM_DIRECTIONS";
}
if ($__THREADS) {
$mert_settings .= " --threads $__THREADS";
}
my $file_settings = "";
if (defined $prev_feature_file) {
$file_settings .= " --ffile $prev_feature_file,$feature_file";
}
else{
$file_settings .= " --ffile $feature_file";
}
if (defined $prev_score_file) {
$file_settings .= " --scfile $prev_score_file,$score_file";
}
else{
$file_settings .= " --scfile $score_file";
}
if ($___START_WITH_HISTORIC_BESTS && defined $prev_init_file) {
$file_settings .= " --ifile $prev_init_file,run$run.$weights_in_file";
}
else{
$file_settings .= " --ifile run$run.$weights_in_file";
}
$cmd .= $file_settings;
# pro optimization
if ($___PAIRWISE_RANKED_OPTIMIZER) {
$cmd .= " --pro run$run.pro.data ; echo 'not used' > $weights_out_file; $pro_optimizer -fvals -maxi 30 -nobias binary run$run.pro.data";
&submit_or_exec($cmd,$mert_outfile,$mert_logfile);
}
# first pro, then mert
elsif ($___PRO_STARTING_POINT) {
# run pro...
my $pro_cmd = $cmd." --pro run$run.pro.data ; $pro_optimizer -fvals -maxi 30 -nobias binary run$run.pro.data";
&submit_or_exec($pro_cmd,"run$run.pro.out","run$run.pro.err");
# ... get results ...
my %dummy;
($bestpoint,$devbleu) = &get_weights_from_mert("run$run.pro.out","run$run.pro.err",scalar @{$featlist->{"names"}},\%dummy);
open(PRO_START,">run$run.init.pro");
print PRO_START $bestpoint."\n";
close(PRO_START);
# ... and run mert
$cmd =~ s/(--ifile \S+)/$1,run$run.init.pro/;
&submit_or_exec($cmd.$mert_settings,$mert_outfile,$mert_logfile);
}
# just mert
else {
&submit_or_exec($cmd.$mert_settings,$mert_outfile,$mert_logfile);
}
die "Optimization failed, file $weights_out_file does not exist or is empty"
if ! -s $weights_out_file;
# backup copies
foreach my $extractFiles(`/bin/ls extract.*`)
{
chomp $extractFiles;
safesystem ("\\cp -f $extractFiles run$run.$extractFiles") or die;
}
# safesystem ("\\cp -f extract.err run$run.extract.err") or die;
# safesystem ("\\cp -f extract.out run$run.extract.out") or die;
safesystem ("\\cp -f $mert_outfile run$run.$mert_outfile") or die;
safesystem ("\\cp -f $mert_logfile run$run.$mert_logfile") or die;
safesystem ("touch $mert_logfile run$run.$mert_logfile") or die;
safesystem ("\\cp -f $weights_out_file run$run.$weights_out_file") or die; # this one is needed for restarts, too
print "run $run end at ".`date`;
my %sparse_weights; # sparse features
($bestpoint,$devbleu) = &get_weights_from_mert("run$run.$mert_outfile","run$run.$mert_logfile",scalar @{$featlist->{"names"}},\%sparse_weights);
die "Failed to parse mert.log, missed Best point there."
if !defined $bestpoint || !defined $devbleu;
print "($run) BEST at $run: $bestpoint => $devbleu at ".`date`;
# update my cache of lambda values
my @newweights = split /\s+/, $bestpoint;
# interpolate with prior's interation weight, if historic-interpolation is specified
if ($___HISTORIC_INTERPOLATION>0 && $run>3) {
my %historic_sparse_weights;
if (-e "run$run.sparse-weights") {
open(SPARSE,"run$run.sparse-weights");
while(<SPARSE>) {
chop;
my ($feature,$weight) = split;
$historic_sparse_weights{$feature} = $weight;
}
}
my $prev = $run-1;
my @historic_weights = split /\s+/, `cat run$prev.$weights_out_file`;
for(my $i=0;$i<scalar(@newweights);$i++) {
$newweights[$i] = $___HISTORIC_INTERPOLATION * $newweights[$i] + (1-$___HISTORIC_INTERPOLATION) * $historic_weights[$i];
}
print "interpolate with ".join(",",@historic_weights)." to ".join(",",@newweights);
foreach (keys %sparse_weights) {
$sparse_weights{$_} *= $___HISTORIC_INTERPOLATION;
#print STDERR "sparse_weights{$_} *= $___HISTORIC_INTERPOLATION -> $sparse_weights{$_}\n";
}
foreach (keys %historic_sparse_weights) {
$sparse_weights{$_} += (1-$___HISTORIC_INTERPOLATION) * $historic_sparse_weights{$_};
#print STDERR "sparse_weights{$_} += (1-$___HISTORIC_INTERPOLATION) * $historic_sparse_weights{$_} -> $sparse_weights{$_}\n";
}
}
if ($___HISTORIC_INTERPOLATION>0) {
open(WEIGHTS,">run$run.$weights_out_file");
print WEIGHTS join(" ",@newweights);
close(WEIGHTS);
}
$featlist->{"values"} = \@newweights;
if (scalar keys %sparse_weights) {
$sparse_weights_file = "run".($run+1).".sparse-weights";
open(SPARSE,">".$sparse_weights_file);
foreach my $feature (keys %sparse_weights) {
print SPARSE "$feature $sparse_weights{$feature}\n";
}
close(SPARSE);
}
## additional stopping criterion: weights have not changed
my $shouldstop = 1;
for(my $i=0; $i<@CURR; $i++) {
die "Lost weight! mert reported fewer weights (@newweights) than we gave it (@CURR)"
if !defined $newweights[$i];
if (abs($CURR[$i] - $newweights[$i]) >= $minimum_required_change_in_weights) {
$shouldstop = 0;
last;
}
}
open F, "> finished_step.txt" or die "Can't mark finished step";
print F $run."\n";
close F;
if ($shouldstop) {
print STDERR "None of the weights changed more than $minimum_required_change_in_weights. Stopping.\n";
last;
}
my $firstrun;
if ($prev_aggregate_nbl_size==-1){
$firstrun=1;
}
else{
$firstrun=$run-$prev_aggregate_nbl_size+1;
$firstrun=($firstrun>0)?$firstrun:1;
}
print "loading data from $firstrun to $run (prev_aggregate_nbl_size=$prev_aggregate_nbl_size)\n";
$prev_feature_file = undef;
$prev_score_file = undef;
$prev_init_file = undef;
for (my $i=$firstrun;$i<=$run;$i++){
if (defined $prev_feature_file){
$prev_feature_file = "${prev_feature_file},run${i}.${base_feature_file}";
}
else{
$prev_feature_file = "run${i}.${base_feature_file}";
}
if (defined $prev_score_file){
$prev_score_file = "${prev_score_file},run${i}.${base_score_file}";
}
else{
$prev_score_file = "run${i}.${base_score_file}";
}
if (defined $prev_init_file){
$prev_init_file = "${prev_init_file},run${i}.${weights_in_file}";
}
else{
$prev_init_file = "run${i}.${weights_in_file}";
}
}
print "loading data from $prev_feature_file\n" if defined($prev_feature_file);
print "loading data from $prev_score_file\n" if defined($prev_score_file);
print "loading data from $prev_init_file\n" if defined($prev_init_file);
}
print "Training finished at ".`date`;
if (defined $allsorted){ safesystem ("\\rm -f $allsorted") or die; };
safesystem("\\cp -f $weights_in_file run$run.$weights_in_file") or die;
safesystem("\\cp -f $mert_logfile run$run.$mert_logfile") or die;
create_config($___CONFIG_ORIG, "./moses.ini", $featlist, $run, $devbleu);
# just to be sure that we have the really last finished step marked
open F, "> finished_step.txt" or die "Can't mark finished step";
print F $run."\n";
close F;
#chdir back to the original directory # useless, just to remind we were not there
chdir($cwd);
} # end of local scope
sub get_weights_from_mert {
my ($outfile,$logfile,$weight_count,$sparse_weights) = @_;
my ($bestpoint,$devbleu);
if ($___PAIRWISE_RANKED_OPTIMIZER || ($___PRO_STARTING_POINT && $logfile =~ /pro/)) {
open(IN,$outfile) or die "Can't open $outfile";
my (@WEIGHT,$sum);
for(my $i=0;$i<$weight_count;$i++) { push @WEIGHT, 0; }
while(<IN>) {
# regular features
if (/^F(\d+) ([\-\.\de]+)/) {
$WEIGHT[$1] = $2;
$sum += abs($2);
}
# sparse features
elsif(/^(.+_.+) ([\-\.\de]+)/) {
$$sparse_weights{$1} = $2;
}
}
$devbleu = "unknown";
foreach (@WEIGHT) { $_ /= $sum; }
foreach (keys %{$sparse_weights}) { $$sparse_weights{$_} /= $sum; }
$bestpoint = join(" ",@WEIGHT);
close IN;
}
else {
open(IN,$logfile) or die "Can't open $logfile";
while (<IN>) {
if (/Best point:\s*([\s\d\.\-e]+?)\s*=> ([\-\d\.]+)/) {
$bestpoint = $1;
$devbleu = $2;
last;
}
}
close IN;
}
return ($bestpoint,$devbleu);
}
sub run_decoder {
my ($featlist, $run, $need_to_normalize) = @_;
my $filename_template = "run%d.best$___N_BEST_LIST_SIZE.out";
my $filename = sprintf($filename_template, $run);
# user-supplied parameters
print "params = $___DECODER_FLAGS\n";
# parameters to set all model weights (to override moses.ini)
my @vals = @{$featlist->{"values"}};
if ($need_to_normalize) {
print STDERR "Normalizing lambdas: @vals\n";
my $totlambda=0;
grep($totlambda+=abs($_),@vals);
grep($_/=$totlambda,@vals);
}
# moses now does not seem accept "-tm X -tm Y" but needs "-tm X Y"
my %model_weights;
for(my $i=0; $i<scalar(@{$featlist->{"names"}}); $i++) {
my $name = $featlist->{"names"}->[$i];
$model_weights{$name} = "-$name" if !defined $model_weights{$name};
$model_weights{$name} .= sprintf " %.6f", $vals[$i];
}
my $decoder_config = join(" ", values %model_weights);
print STDERR "DECODER_CFG = $decoder_config\n";
print "decoder_config = $decoder_config\n";
# run the decoder
my $nBest_cmd = "-n-best-size $___N_BEST_LIST_SIZE";
my $decoder_cmd;
if (defined $___JOBS && $___JOBS > 0) {
$decoder_cmd = "$moses_parallel_cmd $pass_old_sge -config $___CONFIG -inputtype $___INPUTTYPE -qsub-prefix mert$run -queue-parameters \"$queue_flags\" -decoder-parameters \"$___DECODER_FLAGS $decoder_config\" -n-best-list \"$filename $___N_BEST_LIST_SIZE\" -input-file $___DEV_F -jobs $___JOBS -decoder $___DECODER > run$run.out";
} else {
$decoder_cmd = "$___DECODER $___DECODER_FLAGS -config $___CONFIG -inputtype $___INPUTTYPE $decoder_config -n-best-list $filename $___N_BEST_LIST_SIZE -input-file $___DEV_F > run$run.out";
}
safesystem($decoder_cmd) or die "The decoder died. CONFIG WAS $decoder_config \n";
sanity_check_order_of_lambdas($featlist, $filename);
return $filename;
}
sub insert_ranges_to_featlist {
my $featlist = shift;
my $ranges = shift;
$ranges = [] if !defined $ranges;
# first collect the ranges from options
my $niceranges;
foreach my $range (@$ranges) {
my $name = undef;
foreach my $namedpair (split /,/, $range) {
if ($namedpair =~ /^(.*?):/) {
$name = $1;
$namedpair =~ s/^.*?://;
die "Unrecognized name '$name' in --range=$range"
if !defined $ABBR2FULL{$name};
}
my ($min, $max) = split /\.\./, $namedpair;
die "Bad min '$min' in --range=$range" if $min !~ /^-?[0-9.]+$/;
die "Bad max '$max' in --range=$range" if $min !~ /^-?[0-9.]+$/;
die "No name given in --range=$range" if !defined $name;
push @{$niceranges->{$name}}, [$min, $max];
}
}
# now populate featlist
my $seen = undef;
for(my $i=0; $i<scalar(@{$featlist->{"names"}}); $i++) {
my $name = $featlist->{"names"}->[$i];
$seen->{$name} ++;
my $min = 0.0;
my $max = 1.0;
if (defined $niceranges->{$name}) {
my $minmax = shift @{$niceranges->{$name}};
($min, $max) = @$minmax if defined $minmax;
}
$featlist->{"mins"}->[$i] = $min;
$featlist->{"maxs"}->[$i] = $max;
}
return $featlist;
}
sub sanity_check_order_of_lambdas {
my $featlist = shift;
my $filename_or_stream = shift;
my @expected_lambdas = @{$featlist->{"names"}};
my @got = get_order_of_scores_from_nbestlist($filename_or_stream);
die "Mismatched lambdas. Decoder returned @got, we expected @expected_lambdas"
if "@got" ne "@expected_lambdas";
}
sub get_featlist_from_moses {
# run moses with the given config file and return the list of features and
# their initial values
my $configfn = shift;
my $featlistfn = "./features.list";
if (-e $featlistfn) {
print STDERR "Using cached features list: $featlistfn\n";
} else {
print STDERR "Asking moses for feature names and values from $___CONFIG\n";
my $cmd = "$___DECODER $___DECODER_FLAGS -config $configfn -inputtype $___INPUTTYPE -show-weights > $featlistfn";
safesystem($cmd) or die "Failed to run moses with the config $configfn";
}
# read feature list
my @names = ();
my @startvalues = ();
open(INI,$featlistfn) or die "Can't read $featlistfn";
my $nr = 0;
my @errs = ();
while (<INI>) {
$nr++;
chomp;
/^(.+) (\S+) (\S+)$/ || die("invalid feature: $_");
my ($longname, $feature, $value) = ($1,$2,$3);
next if $value eq "sparse";
push @errs, "$featlistfn:$nr:Bad initial value of $feature: $value\n"
if $value !~ /^[+-]?[0-9.e]+$/;
push @errs, "$featlistfn:$nr:Unknown feature '$feature', please add it to \@ABBR_FULL_MAP\n"
if !defined $ABBR2FULL{$feature};
push @names, $feature;
push @startvalues, $value;
}
close INI;
if (scalar @errs) {
print STDERR join("", @errs);
exit 1;
}
return {"names"=>\@names, "values"=>\@startvalues};
}
sub get_order_of_scores_from_nbestlist {
# read the first line and interpret the ||| label: num num num label2: num ||| column in nbestlist
# return the score labels in order
my $fname_or_source = shift;
# print STDERR "Peeking at the beginning of nbestlist to get order of scores: $fname_or_source\n";
open IN, $fname_or_source or die "Failed to get order of scores from nbestlist '$fname_or_source'";
my $line = <IN>;
close IN;
die "Line empty in nbestlist '$fname_or_source'" if !defined $line;
my ($sent, $hypo, $scores, $total) = split /\|\|\|/, $line;
$scores =~ s/^\s*|\s*$//g;
die "No scores in line: $line" if $scores eq "";
my @order = ();
my $label = undef;
my $sparse = 0; # we ignore sparse features here
foreach my $tok (split /\s+/, $scores) {
if ($tok =~ /.+_.+:/) {
$sparse = 1;
} elsif ($tok =~ /^([a-z][0-9a-z]*):/i) {
$label = $1;
} elsif ($tok =~ /^-?[-0-9.e]+$/) {
if (!$sparse) {
# a score found, remember it
die "Found a score but no label before it! Bad nbestlist '$fname_or_source'!"
if !defined $label;
push @order, $label;
}
$sparse = 0;
} else {
die "Not a label, not a score '$tok'. Failed to parse the scores string: '$scores' of nbestlist '$fname_or_source'";
}
}
print STDERR "The decoder returns the scores in this order: @order\n";
return @order;
}
sub create_config {
my $infn = shift; # source config
my $outfn = shift; # where to save the config
my $featlist = shift; # the lambdas we should write
my $iteration = shift; # just for verbosity
my $bleu_achieved = shift; # just for verbosity
my $sparse_weights_file = shift; # only defined when optimizing sparse features
my %P; # the hash of all parameters we wish to override
# first convert the command line parameters to the hash
{ # ensure local scope of vars
my $parameter=undef;
print "Parsing --decoder-flags: |$___DECODER_FLAGS|\n";
$___DECODER_FLAGS =~ s/^\s*|\s*$//;
$___DECODER_FLAGS =~ s/\s+/ /;
foreach (split(/ /,$___DECODER_FLAGS)) {
if (/^\-([^\d].*)$/) {
$parameter = $1;
$parameter = $ABBR2FULL{$parameter} if defined($ABBR2FULL{$parameter});
}
else {
die "Found value with no -paramname before it: $_"
if !defined $parameter;
push @{$P{$parameter}},$_;
}
}
}
# First delete all weights params from the input, we're overwriting them.
# Delete both short and long-named version.
for(my $i=0; $i<scalar(@{$featlist->{"names"}}); $i++) {
my $name = $featlist->{"names"}->[$i];
delete($P{$name});
delete($P{$ABBR2FULL{$name}});
}
# Convert weights to elements in P
for(my $i=0; $i<scalar(@{$featlist->{"names"}}); $i++) {
my $name = $featlist->{"names"}->[$i];
my $val = $featlist->{"values"}->[$i];
$name = defined $ABBR2FULL{$name} ? $ABBR2FULL{$name} : $name;
# ensure long name
push @{$P{$name}}, $val;
}
if (defined($sparse_weights_file)) {
push @{$P{"weights-file"}}, $___WORKING_DIR."/".$sparse_weights_file;
}
# create new moses.ini decoder config file by cloning and overriding the original one
open(INI,$infn) or die "Can't read $infn";
delete($P{"config"}); # never output
print "Saving new config to: $outfn\n";
open(OUT,"> $outfn") or die "Can't write $outfn";
print OUT "# MERT optimized configuration\n";
print OUT "# decoder $___DECODER\n";
print OUT "# BLEU $bleu_achieved on dev $___DEV_F\n";
print OUT "# We were before running iteration $iteration\n";
print OUT "# finished ".`date`;
my $line = <INI>;
while(1) {
last unless $line;
# skip until hit [parameter]
if ($line !~ /^\[(.+)\]\s*$/) {
$line = <INI>;
print OUT $line if $line =~ /^\#/ || $line =~ /^\s+$/;
next;
}
# parameter name
my $parameter = $1;
$parameter = $ABBR2FULL{$parameter} if defined($ABBR2FULL{$parameter});
print OUT "[$parameter]\n";
# change parameter, if new values
if (defined($P{$parameter})) {
# write new values
foreach (@{$P{$parameter}}) {
print OUT $_."\n";
}
delete($P{$parameter});
# skip until new parameter, only write comments
while($line = <INI>) {
print OUT $line if $line =~ /^\#/ || $line =~ /^\s+$/;
last if $line =~ /^\[/;
last unless $line;
}
next;
}
# unchanged parameter, write old
while($line = <INI>) {
last if $line =~ /^\[/;
print OUT $line;
}
}
# write all additional parameters
foreach my $parameter (keys %P) {
print OUT "\n[$parameter]\n";
foreach (@{$P{$parameter}}) {
print OUT $_."\n";
}
}
close(INI);
close(OUT);
print STDERR "Saved: $outfn\n";
}
sub safesystem {
print STDERR "Executing: @_\n";
system(@_);
if ($? == -1) {
print STDERR "Failed to execute: @_\n $!\n";
exit(1);
}
elsif ($? & 127) {
printf STDERR "Execution of: @_\n died with signal %d, %s coredump\n",
($? & 127), ($? & 128) ? 'with' : 'without';
exit(1);
}
else {
my $exitcode = $? >> 8;
print STDERR "Exit code: $exitcode\n" if $exitcode;
return ! $exitcode;
}
}
sub ensure_full_path {
my $PATH = shift;
$PATH =~ s/\/nfsmnt//;
return $PATH if $PATH =~ /^\//;
my $dir = `pawd 2>/dev/null`;
if(!$dir){$dir = `pwd`;}
chomp($dir);
$PATH = $dir."/".$PATH;
$PATH =~ s/[\r\n]//g;
$PATH =~ s/\/\.\//\//g;
$PATH =~ s/\/+/\//g;
my $sanity = 0;
while($PATH =~ /\/\.\.\// && $sanity++<10) {
$PATH =~ s/\/+/\//g;
$PATH =~ s/\/[^\/]+\/\.\.\//\//g;
}
$PATH =~ s/\/[^\/]+\/\.\.$//;
$PATH =~ s/\/+$//;
$PATH =~ s/\/nfsmnt//;
return $PATH;
}
sub submit_or_exec {
my ($cmd,$stdout,$stderr) = @_;
print STDERR "exec: $cmd\n";
if (defined $___JOBS && $___JOBS > 0) {
safesystem("$qsubwrapper $pass_old_sge -command='$cmd' -queue-parameter=\"$queue_flags\" -stdout=$stdout -stderr=$stderr" )
or die "ERROR: Failed to submit '$cmd' (via $qsubwrapper)";
}
else {
safesystem("$cmd > $stdout 2> $stderr") or die "ERROR: Failed to run '$cmd'.";
}
}
Reference in New Issue View Git Blame Copy Permalink