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#!/usr/bin/perl -w
use strict;
my $SCRIPT_DIR; BEGIN { use Cwd qw/ abs_path /; use File::Basename; $SCRIPT_DIR = dirname(abs_path($0)); push @INC, $SCRIPT_DIR; }
use Getopt::Long;
my $MAX_ITER_ATTEMPTS = 5; # number of times to retry a failed function evaluation
my $CWD=`pwd`; chomp $CWD;
my $BIN_DIR = $SCRIPT_DIR;
my $OPTIMIZER = "$BIN_DIR/mr_optimize_reduce";
my $DECODER = "$BIN_DIR/../decoder/cdec";
my $COMBINER_CACHE_SIZE = 150;
# This is a hack to run this on a weird cluster,
# eventually, I'll provide Hadoop scripts.
my $PARALLEL = "/chomes/redpony/svn-trunk/sa-utils/parallelize.pl";
die "Can't find $OPTIMIZER" unless -f $OPTIMIZER;
die "Can't execute $OPTIMIZER" unless -x $OPTIMIZER;
my $restart = '';
if ($ARGV[0] && $ARGV[0] eq '--restart') { shift @ARGV; $restart = 1; }
my $pmem="2500mb";
my $nodes = 1;
my $max_iteration = 1000;
my $PRIOR_FLAG = "";
my $parallel = 1;
my $CFLAG = "-C 1";
my $LOCAL;
my $DISTRIBUTED;
my $PRIOR;
my $OALG = "lbfgs";
my $sigsq = 1;
my $means_file;
GetOptions("cdec=s" => \$DECODER,
"run_locally" => \$LOCAL,
"distributed" => \$DISTRIBUTED,
"sigma_squared=f" => \$sigsq,
"means=s" => \$means_file,
"optimizer=s" => \$OALG,
"jobs=i" => \$nodes,
"pmem=s" => \$pmem
) or usage();
usage() unless scalar @ARGV==3;
my $config_file = shift @ARGV;
my $training_corpus = shift @ARGV;
my $initial_weights = shift @ARGV;
unless ($DISTRIBUTED) { $LOCAL = 1; }
die "Can't find $config_file" unless -f $config_file;
die "Can't find $DECODER" unless -f $DECODER;
die "Can't execute $DECODER" unless -x $DECODER;
if ($LOCAL) { print STDERR "Will run LOCALLY.\n"; $parallel = 0; }
if ($PRIOR) {
$PRIOR_FLAG="-p --sigma_squared $sigsq";
if ($means_file) { $PRIOR_FLAG .= " -u $means_file"; }
}
if ($parallel) {
die "Can't find $PARALLEL" unless -f $PARALLEL;
die "Can't execute $PARALLEL" unless -x $PARALLEL;
}
unless ($parallel) { $CFLAG = "-C 500"; }
unless ($config_file =~ /^\//) { $config_file = $CWD . '/' . $config_file; }
my $clines = num_lines($training_corpus);
print STDERR <<EOT;
PTRAIN CONFIGURATION INFORMATION
Config file: $config_file
Training corpus: $training_corpus
Corpus size: $clines
Initial weights: $initial_weights
Decoder memory: $pmem
Max iterations: $max_iteration
Optimizer: $OALG
Jobs requested: $nodes
prior?: $PRIOR_FLAG
restart?: $restart
EOT
if ($OALG) { $OALG="-m $OALG"; }
my $nodelist="1";
for (my $i=1; $i<$nodes; $i++) { $nodelist .= " 1"; }
my $iter = 1;
my $dir = "$CWD/ptrain";
if ($restart) {
die "$dir doesn't exist, but --restart specified!\n" unless -d $dir;
my $o = `ls -t $dir/weights.*`;
my ($a, @x) = split /\n/, $o;
if ($a =~ /weights.(\d+)\.gz$/) {
$iter = $1;
} else {
die "Unexpected file: $a!\n";
}
print STDERR "Restarting at iteration $iter\n";
} else {
die "$dir already exists!\n" if -e $dir;
mkdir $dir or die "Can't create $dir: $!";
unless ($initial_weights =~ /\.gz$/) {
`cp $initial_weights $dir/weights.1`;
`gzip -9 $dir/weights.1`;
} else {
`cp $initial_weights $dir/weights.1.gz`;
}
}
my $iter_attempts = 1;
while ($iter < $max_iteration) {
my $cur_time = `date`; chomp $cur_time;
print STDERR "\nStarting iteration $iter...\n";
print STDERR " time: $cur_time\n";
my $start = time;
my $next_iter = $iter + 1;
my $dec_cmd="$DECODER -G $CFLAG -c $config_file -w $dir/weights.$iter.gz < $training_corpus 2> $dir/deco.log.$iter";
my $opt_cmd = "$OPTIMIZER $PRIOR_FLAG -M 50 $OALG -s $dir/opt.state -i $dir/weights.$iter.gz -o $dir/weights.$next_iter.gz";
my $pcmd = "$PARALLEL -e $dir/err -p $pmem --nodelist \"$nodelist\" -- ";
my $cmd = "";
if ($parallel) { $cmd = $pcmd; }
$cmd .= "$dec_cmd | $opt_cmd";
print STDERR "EXECUTING: $cmd\n";
my $result = `$cmd`;
my $exit_code = $? >> 8;
if ($exit_code == 99) {
$iter_attempts++;
if ($iter_attempts > $MAX_ITER_ATTEMPTS) {
die "Received restart request $iter_attempts times from optimizer, giving up\n";
}
print STDERR "Function evaluation failed, retrying (attempt $iter_attempts)\n";
next;
}
if ($? != 0) {
die "Error running iteration $iter: $!";
}
chomp $result;
my $end = time;
my $diff = ($end - $start);
print STDERR " ITERATION $iter TOOK $diff SECONDS\n";
$iter = $next_iter;
if ($result =~ /1$/) {
print STDERR "Training converged.\n";
last;
}
$iter_attempts = 1;
}
print "FINAL WEIGHTS: $dir/weights.$iter\n";
sub usage {
die <<EOT;
Usage: $0 [OPTIONS] cdec.ini training.corpus weights.init
Options:
--distributed Parallelize function evaluation
--cdec PATH Path to cdec binary
--optimize OPT lbfgs, rprop, sgd
--gaussian_prior add Gaussian prior
--means FILE if you want means other than 0
--sigma_squared S variance on prior
--pmem MEM Memory required for decoder
EOT
}
sub num_lines {
my $file = shift;
my $fh;
if ($file=~ /\.gz$/) {
open $fh, "zcat $file|" or die "Couldn't fork zcat $file: $!";
} else {
open $fh, "<$file" or die "Couldn't read $file: $!";
}
my $lines = 0;
while(<$fh>) { $lines++; }
close $fh;
return $lines;
}
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