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authorPatrick Simianer <simianer@cl.uni-heidelberg.de>2013-03-03 12:06:43 +0100
committerPatrick Simianer <simianer@cl.uni-heidelberg.de>2013-03-03 12:06:43 +0100
commit6b172ef1b1651e6ccf016b26c9ea94fad6df3152 (patch)
treea62dffda9143a619531be9f96912938659d3a890 /training
parent349ee7d5599bb973506c8bbb56926cf9d366b564 (diff)
parent7deec52e8feb1c908a91224f308e8cbd9a170576 (diff)
Merge branch 'master' of github.com:pks/cdec-dtrain
Diffstat (limited to 'training')
-rw-r--r--training/crf/Makefile.am6
-rw-r--r--training/crf/baum_welch_example/README.md32
-rw-r--r--training/crf/baum_welch_example/cdec.ini5
-rwxr-xr-xtraining/crf/baum_welch_example/random_init.pl9
-rw-r--r--training/crf/baum_welch_example/tagset.txt1
-rw-r--r--training/crf/baum_welch_example/train.txt2000
-rw-r--r--training/crf/mpi_baum_welch.cc316
-rw-r--r--training/utils/Makefile.am4
-rw-r--r--training/utils/sentclient.cc (renamed from training/utils/sentclient.c)0
-rw-r--r--training/utils/sentserver.cc (renamed from training/utils/sentserver.c)14
10 files changed, 2377 insertions, 10 deletions
diff --git a/training/crf/Makefile.am b/training/crf/Makefile.am
index 621ca803..4a8c30fd 100644
--- a/training/crf/Makefile.am
+++ b/training/crf/Makefile.am
@@ -4,7 +4,11 @@ bin_PROGRAMS = \
mpi_extract_features \
mpi_extract_reachable \
mpi_flex_optimize \
- mpi_online_optimize
+ mpi_online_optimize \
+ mpi_baum_welch
+
+mpi_baum_welch_SOURCES = mpi_baum_welch.cc
+mpi_baum_welch_LDADD = ../../decoder/libcdec.a ../../klm/search/libksearch.a ../../mteval/libmteval.a ../../utils/libutils.a ../../klm/lm/libklm.a ../../klm/util/libklm_util.a ../../klm/util/double-conversion/libklm_util_double.a -lz
mpi_online_optimize_SOURCES = mpi_online_optimize.cc
mpi_online_optimize_LDADD = ../../training/utils/libtraining_utils.a ../../decoder/libcdec.a ../../klm/search/libksearch.a ../../mteval/libmteval.a ../../utils/libutils.a ../../klm/lm/libklm.a ../../klm/util/libklm_util.a ../../klm/util/double-conversion/libklm_util_double.a -lz
diff --git a/training/crf/baum_welch_example/README.md b/training/crf/baum_welch_example/README.md
new file mode 100644
index 00000000..97525da5
--- /dev/null
+++ b/training/crf/baum_welch_example/README.md
@@ -0,0 +1,32 @@
+Here's how to do Baum-Welch training with `cdec`.
+
+## Set the tags you want.
+
+First, set the number of tags you want in tagset.txt (these
+can be any symbols, listed one after another, separated
+by whitespace), e.g.:
+
+ C1 C2 C3 C4
+
+## Extract the parameter feature names
+
+ ../mpi_extract_features -c cdec.ini -t train.txt
+
+If you have compiled with MPI, you can use `mpirun`:
+
+ mpirun -np 8 ../mpi_extract_features -c cdec.ini -t train.txt
+
+## Randomly initialize the weights file
+
+ sort -u features.* | ./random_init.pl > weights.init
+
+## Run training
+
+ ../mpi_baum_welch -c cdec.ini -t train.txt -w weights.init -n 50
+
+Again, if you have compiled with MPI, you can use `mpirun`:
+
+ mpirun -np 8 ../mpi_baum_welch -c cdec.ini -t train.txt -w weights.init -n 50
+
+The `-n` flag indicates how many iterations to run for.
+
diff --git a/training/crf/baum_welch_example/cdec.ini b/training/crf/baum_welch_example/cdec.ini
new file mode 100644
index 00000000..61203da7
--- /dev/null
+++ b/training/crf/baum_welch_example/cdec.ini
@@ -0,0 +1,5 @@
+feature_function=Tagger_BigramIndicator
+feature_function=LexicalPairIndicator
+formalism=tagger
+tagger_tagset=tagset.txt
+intersection_strategy=full
diff --git a/training/crf/baum_welch_example/random_init.pl b/training/crf/baum_welch_example/random_init.pl
new file mode 100755
index 00000000..98467ed1
--- /dev/null
+++ b/training/crf/baum_welch_example/random_init.pl
@@ -0,0 +1,9 @@
+#!/usr/bin/perl -w
+while(<>) {
+ chomp;
+ my ($a,$b,@d) =split /\s+/;
+ die "Bad input" if scalar @d > 0;
+ $r = -rand() * rand() - 0.5;
+ $r = 0 if $a =~ /^Uni:/;
+ print "$a $r\n";
+}
diff --git a/training/crf/baum_welch_example/tagset.txt b/training/crf/baum_welch_example/tagset.txt
new file mode 100644
index 00000000..93a48451
--- /dev/null
+++ b/training/crf/baum_welch_example/tagset.txt
@@ -0,0 +1 @@
+1 2 3 4
diff --git a/training/crf/baum_welch_example/train.txt b/training/crf/baum_welch_example/train.txt
new file mode 100644
index 00000000..e9c3455e
--- /dev/null
+++ b/training/crf/baum_welch_example/train.txt
@@ -0,0 +1,2000 @@
+t h e
+t o
+o f
+i n
+a n d
+a
+s a i d
+f o r
+o n
+t h a t
+w i t h
+w a s
+i s
+b y
+a t
+h e
+a s
+f r o m
+i t
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+s t a t e s
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+i f
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+o f f i c i a l s
+d a y
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+h e r
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+d o w
+p a n e l
+f e a r
+s e n t e n c e d
+b a n n e d
+c i v i l i a n
+c u l t u r a l
+p e r s o n n e l
+b e l g i u m
+a b u
+c a p a c i t y
+a m o u n t
+s e c u r i t i e s
+b l o o d
+s i g n i f i c a n t
+e x p e r i e n c e
+a s e a n
+h o u s i n g
+j o h n s o n
+p h o t o s
+r o y a l
+i m p o r t s
+a d d i t i o n a l
+y e l t s i n
+c d y
+h e a r d
+t h o m a s
+b a n k i n g
+l e a d s
+v i s i t e d
+f e a r s
+u g a n d a
+d r i v e r
+c o n t r o l l e d
+d e m a n d s
+i n s t i t u t i o n s
+a l i
+c h r i s t i a n
+s t o r m
+f o r e c a s t
+g r a f
+f i g h t e r s
+s t r e e t s
+r e s p e c t
+s p o t
+w e b
+m i s s e d
+s c i e n c e
+h e a d s
+h i t s
+m a s s i v e
+c u l t u r e
+c o u p l e
+v e n e z u e l a
+r e p o r t e d l y
+i n s u r a n c e
+s p r e a d
+s o l u t i o n
+p l a c e d
+s e r v e d
+f a c i l i t i e s
+s t r a t e g y
+t e c h n i c a l
+s t e p s
+d e e p
+h o p e d
+d e c i d e
+s a l e
+j a i l
+d i s c u s s e d
+s a v e
+n e p a l
+a r a b i a
+e n v o y
+a t t a c k e d
+w a y s
+r e c e i v e
+h a p p y
+h a l l
+g u i l t y
+p r a c t i c e
+l o v e
+e u r o s
+o p e r a t i n g
+c h a n g e d
+b o s t o n
+d e c a d e
+d e f i c i t
+p r o d u c t
+l i n e s
+p a t i e n t s
+f r i e n d s
+s y d n e y
+a c c o r d
+t i e d
+s p e e d
+w o r d s
+t i e
+s c o r e
+c o n d u c t e d
+c r i t i c i s m
+m u s l i m s
+b r o t h e r
+c l a s s
+r o m a n i a
+h e l p i n g
+f a s t
+h a p p e n e d
+d e f e n d i n g
+n a v y
+w i t n e s s e s
+f u l l y
+s u s p e c t
+i s l a n d s
+m a i n t a i n
+p r e s e n c e
+j a k a r t a
+p a c k a g e
+y a r d s
+g a i n
+a c c o u n t
+s q u a d
+s h a r o n
+w i n g
+a c t i o n s
+a t h e n s
+s t r a t e g i c
+s t r e n g t h e n
+f r i e n d l y
+d e s t r o y e d
+a p p a r e n t l y
+c o n s e r v a t i v e
+g a i n s
+f a i l u r e
+f u t u r e s
+s h o t s
+r e l a t i o n s h i p
+c o m m i s s i o n e r
+m a l a y s i a n
+r e q u i r e d
+a t l a n t a
+a g r e e
+d e f e a t
+s t r i k e r
+a d v a n c e d
+b r a z i l i a n
+a s s e t s
+h o u s e s
+s u p p l i e s
+s a f e
+m i l l i o n s
+s o u g h t
+f r e s h
+v i d e o
+p r o s e c u t o r
+p u l l e d
+v e h i c l e
+t o l l
+p a r e n t s
+c e a s e
+a c t i v i s t s
+o r g a n i z e d
+e n t e r e d
+s h i i t e
+l a n g u a g e
+a b b a s
+b i n
+p r e v i o u s l y
+c l o s i n g
+w o r k s
+t e r r o r i s t s
+t o n y
+c o v e r
+f o l l o w
+l e g i s l a t i v e
+r i c h
+c l a s h e s
+i m p o s e d
+r a n
+m c c a i n
+s u c c e s s f u l
+s e v e n t h
+s c o r i n g
+c a u g h t
+a p p o i n t e d
+a l l i e s
+a d m i t t e d
+w o r l d w i d e
+o r d e r s
+d e m a n d e d
+c r e a t e d
+r a n k e d
+m i l i t a n t
+i n v e s t i g a t o r s
+s h o w i n g
+p o s s i b i l i t y
+s e a t
+d a u g h t e r
+s i t e s
+s h o r t l y
+c o m m e r c e
+n e t a n y a h u
+a d v a n c e
+a i r l i n e
+f i r m s
+a b r o a d
+f o u n d a t i o n
+c o m m i t m e n t
+p l e d g e d
+k i l l
+r e p r e s e n t a t i v e
+n o r t h w e s t
+s c e n e
+b e a t i n g
+i m p r o v e d
+r e s u m e
+w h o m
+s l i g h t l y
+v o t i n g
+b o m b i n g s
+s e r i o u s l y
+s e t t i n g
+c a r l o s
+e f f e c t i v e
+h k
+r e g u l a r
+j i a n g
+p r i n c e
+d e c l i n e
+b a y
+n o r t h e a s t
+s o l d i e r
+r e a c h i n g
+a g r e e m e n t s
+m i k e
+h u r t
+c r i t i c a l
+i d e a
+m i l o s e v i c
+f i s c a l
+t a r g e t s
+a g r i c u l t u r a l
+m u s h a r r a f
+d e s i g n e d
+o v e r n i g h t
+b o y
+d o z e n
+p r o d u c e
+c a l m
+s t a n d a r d s
+l e g i s l a t i o n
+s e n t e n c e
+w i t h d r a w a l
+s e e d e d
+c o m p o s i t e
+t r a d e d
+w i n t e r
+d a v i s
+t r u s t
+c l i m a t e
+i n d u s t r i e s
+p r o f i t s
+v o t e d
+c a m b o d i a
+s y r i a n
+s i g n s
+l o a n
+s t e e l
+e l e c t r i c i t y
+t e h r a n
+c i t i n g
+h u s b a n d
+b i t
+c o m b a t
+h a n d e d
+f e s t i v a l
+i m f
+p r e s i d e n c y
+c a p t u r e d
+s t u d e n t
+f i n e
+s t a t i o n s
+s i l v e r
+c h a v e z
+i n t e r
+m o m e n t
+t a b l e
+c o u p
+p o p e
+p r o v i n c e s
+a h m e d
+b u i l d i n g s
+o u t p u t
+l i b e r a t i o n
+m o n e t a r y
+c l o s e r
+c o l l e g e
+f l u
+a d v a n t a g e
+a s s i s t a n t
+g o n e
+s e c r e t
+x
+c a t h o l i c
+n a m e s
+l i s t e d
+f i n a l l y
+c a n c e r
+p r o d u c e d
+m e a s u r e
+f l e d
+l a r g e l y
+d e f e a t e d
+c o n g o
+b a s i c
+j e a n
+l o s e
+p r i z e
+b a n g k o k
+a s k
+f r a n c i s c o
+r e g i s t e r e d
+d i s a s t e r
+g o l f
+i n d i v i d u a l
+c o n t i n u e s
+w t o
+i n i t i a l
+a n y o n e
+q u a k e
+f a c e d
+s c i e n t i s t s
+m o b i l e
+p o s i t i o n s
+f i e l d s
+r e c o v e r y
+m u s e u m
+n u m b e r s
+d e n m a r k
+m a n i l a
+h o l d s
+c e n t
+e x
+e s t a b l i s h
+w i d e l y
+o f f i c e s
+i n s i s t e d
+u n i t s
+k a s h m i r
+r e f e r e n d u m
+l o c a t e d
+u p o n
+a l l o w i n g
+s c a l e
+o p p o s e d
+w a t c h
+i n d i c a t e d
+p a r t n e r
+e a r t h q u a k e
+s c a n d a l
+e v e r y o n e
+a p p r o a c h
+t r u c k
+i m p o r t a n c e
+t h r e a t s
+p o r t u g a l
+s e x
+r e c o r d s
+s u p e r
+s t o o d
+c o n t a c t
+m a t e r i a l s
+v i o l e n t
+p l a c e s
+a n a l y s t
+a d d s
+a l o n e
+g o e s
+m o v i e
+e x p e c t s
+a r t
+s e o u l
+m e x i c a n
+y e s t e r d a y
+p l a n e s
+n i n t h
+o n l i n e
+h e l i c o p t e r
+i m m i g r a t i o n
+p a r t n e r s
+i n f r a s t r u c t u r e
+b o a t
+v i s i t s
+n o r m a l
+s t a k e
+g u e r r i l l a s
+m a c a o
+w i l l i n g
+s u n
+a w a r d
+t e l l
+s o u t h w e s t
+s p o r t
+e n t e r
+r e s o l v e
+c h a n c e s
+m i a m i
+e l
+e n t i r e
diff --git a/training/crf/mpi_baum_welch.cc b/training/crf/mpi_baum_welch.cc
new file mode 100644
index 00000000..d69b1769
--- /dev/null
+++ b/training/crf/mpi_baum_welch.cc
@@ -0,0 +1,316 @@
+#include <sstream>
+#include <iostream>
+#include <vector>
+#include <cassert>
+#include <cmath>
+
+#include "config.h"
+#ifdef HAVE_MPI
+#include <boost/mpi/timer.hpp>
+#include <boost/mpi.hpp>
+namespace mpi = boost::mpi;
+#endif
+
+#include <boost/unordered_map.hpp>
+#include <boost/functional/hash.hpp>
+#include <boost/shared_ptr.hpp>
+#include <boost/program_options.hpp>
+#include <boost/program_options/variables_map.hpp>
+
+#include "sentence_metadata.h"
+#include "verbose.h"
+#include "hg.h"
+#include "prob.h"
+#include "inside_outside.h"
+#include "ff_register.h"
+#include "decoder.h"
+#include "filelib.h"
+#include "stringlib.h"
+#include "fdict.h"
+#include "weights.h"
+#include "sparse_vector.h"
+
+using namespace std;
+namespace po = boost::program_options;
+
+bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
+ po::options_description opts("Configuration options");
+ opts.add_options()
+ ("input_weights,w",po::value<string>(),"Input feature weights file")
+ ("iterations,n",po::value<unsigned>()->default_value(50), "Number of training iterations")
+ ("training_data,t",po::value<string>(),"Training data")
+ ("decoder_config,c",po::value<string>(),"Decoder configuration file");
+ po::options_description clo("Command line options");
+ clo.add_options()
+ ("config", po::value<string>(), "Configuration file")
+ ("help,h", "Print this help message and exit");
+ po::options_description dconfig_options, dcmdline_options;
+ dconfig_options.add(opts);
+ dcmdline_options.add(opts).add(clo);
+
+ po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
+ if (conf->count("config")) {
+ ifstream config((*conf)["config"].as<string>().c_str());
+ po::store(po::parse_config_file(config, dconfig_options), *conf);
+ }
+ po::notify(*conf);
+
+ if (conf->count("help") || !conf->count("input_weights") || !(conf->count("training_data")) || !conf->count("decoder_config")) {
+ cerr << dcmdline_options << endl;
+ return false;
+ }
+ return true;
+}
+
+void ReadTrainingCorpus(const string& fname, int rank, int size, vector<string>* c) {
+ ReadFile rf(fname);
+ istream& in = *rf.stream();
+ string line;
+ int lc = 0;
+ while(in) {
+ getline(in, line);
+ if (!in) break;
+ if (lc % size == rank) c->push_back(line);
+ ++lc;
+ }
+}
+
+static const double kMINUS_EPSILON = -1e-6;
+
+struct TrainingObserver : public DecoderObserver {
+ void Reset() {
+ acc_grad.clear();
+ acc_obj = 0;
+ total_complete = 0;
+ trg_words = 0;
+ }
+
+ void SetLocalGradientAndObjective(vector<double>* g, double* o) const {
+ *o = acc_obj;
+ for (SparseVector<double>::const_iterator it = acc_grad.begin(); it != acc_grad.end(); ++it)
+ (*g)[it->first] = it->second;
+ }
+
+ virtual void NotifyDecodingStart(const SentenceMetadata& smeta) {
+ state = 1;
+ }
+
+ // compute model expectations, denominator of objective
+ virtual void NotifyTranslationForest(const SentenceMetadata& smeta, Hypergraph* hg) {
+ assert(state == 1);
+ trg_words += smeta.GetSourceLength();
+ state = 2;
+ SparseVector<prob_t> exps;
+ const prob_t z = InsideOutside<prob_t,
+ EdgeProb,
+ SparseVector<prob_t>,
+ EdgeFeaturesAndProbWeightFunction>(*hg, &exps);
+ exps /= z;
+ for (SparseVector<prob_t>::iterator it = exps.begin(); it != exps.end(); ++it)
+ acc_grad.add_value(it->first, it->second.as_float());
+
+ acc_obj += log(z);
+ }
+
+ // compute "empirical" expectations, numerator of objective
+ virtual void NotifyAlignmentForest(const SentenceMetadata& smeta, Hypergraph* hg) {
+ cerr << "Shouldn't get an alignment forest!\n";
+ abort();
+ }
+
+ virtual void NotifyDecodingComplete(const SentenceMetadata& smeta) {
+ ++total_complete;
+ }
+
+ int total_complete;
+ SparseVector<double> acc_grad;
+ double acc_obj;
+ unsigned trg_words;
+ int state;
+};
+
+void ReadConfig(const string& ini, vector<string>* out) {
+ ReadFile rf(ini);
+ istream& in = *rf.stream();
+ while(in) {
+ string line;
+ getline(in, line);
+ if (!in) continue;
+ out->push_back(line);
+ }
+}
+
+void StoreConfig(const vector<string>& cfg, istringstream* o) {
+ ostringstream os;
+ for (int i = 0; i < cfg.size(); ++i) { os << cfg[i] << endl; }
+ o->str(os.str());
+}
+
+#if 0
+template <typename T>
+struct VectorPlus : public binary_function<vector<T>, vector<T>, vector<T> > {
+ vector<T> operator()(const vector<int>& a, const vector<int>& b) const {
+ assert(a.size() == b.size());
+ vector<T> v(a.size());
+ transform(a.begin(), a.end(), b.begin(), v.begin(), plus<T>());
+ return v;
+ }
+};
+#endif
+
+int main(int argc, char** argv) {
+#ifdef HAVE_MPI
+ mpi::environment env(argc, argv);
+ mpi::communicator world;
+ const int size = world.size();
+ const int rank = world.rank();
+#else
+ const int size = 1;
+ const int rank = 0;
+#endif
+ SetSilent(true); // turn off verbose decoder output
+ register_feature_functions();
+
+ po::variables_map conf;
+ if (!InitCommandLine(argc, argv, &conf)) return 1;
+ const unsigned iterations = conf["iterations"].as<unsigned>();
+
+ // load cdec.ini and set up decoder
+ vector<string> cdec_ini;
+ ReadConfig(conf["decoder_config"].as<string>(), &cdec_ini);
+ istringstream ini;
+ StoreConfig(cdec_ini, &ini);
+ Decoder* decoder = new Decoder(&ini);
+ if (decoder->GetConf()["input"].as<string>() != "-") {
+ cerr << "cdec.ini must not set an input file\n";
+ return 1;
+ }
+
+ // load initial weights
+ if (rank == 0) { cerr << "Loading weights...\n"; }
+ vector<weight_t>& lambdas = decoder->CurrentWeightVector();
+ Weights::InitFromFile(conf["input_weights"].as<string>(), &lambdas);
+ if (rank == 0) { cerr << "Done loading weights.\n"; }
+
+ // freeze feature set (should be optional?)
+ const bool freeze_feature_set = true;
+ if (freeze_feature_set) FD::Freeze();
+
+ const int num_feats = FD::NumFeats();
+ if (rank == 0) cerr << "Number of features: " << num_feats << endl;
+ lambdas.resize(num_feats);
+
+ vector<double> gradient(num_feats, 0.0);
+ vector<double> rcv_grad;
+ rcv_grad.clear();
+ bool converged = false;
+
+ vector<string> corpus, test_corpus;
+ ReadTrainingCorpus(conf["training_data"].as<string>(), rank, size, &corpus);
+ assert(corpus.size() > 0);
+ if (conf.count("test_data"))
+ ReadTrainingCorpus(conf["test_data"].as<string>(), rank, size, &test_corpus);
+
+ // build map from feature id to the accumulator that should normalize
+ boost::unordered_map<std::string, boost::unordered_map<int, double>, boost::hash<std::string> > ccs;
+ vector<boost::unordered_map<int, double>* > cpd_to_acc;
+ if (rank == 0) {
+ cpd_to_acc.resize(num_feats);
+ for (unsigned f = 1; f < num_feats; ++f) {
+ string normalizer;
+ //0 ||| 7 9 ||| Bi:BOS_7=1 Bi:7_9=1 Bi:9_EOS=1 Id:a:7=1 Uni:7=1 Id:b:9=1 Uni:9=1 ||| 0
+ const string& fstr = FD::Convert(f);
+ if (fstr.find("Bi:") == 0) {
+ size_t pos = fstr.rfind('_');
+ if (pos < fstr.size())
+ normalizer = fstr.substr(0, pos);
+ } else if (fstr.find("Id:") == 0) {
+ size_t pos = fstr.rfind(':');
+ if (pos < fstr.size()) {
+ normalizer = "Emit:";
+ normalizer += fstr.substr(pos);
+ }
+ }
+ if (normalizer.size() > 0) {
+ boost::unordered_map<int, double>& acc = ccs[normalizer];
+ cpd_to_acc[f] = &acc;
+ }
+ }
+ }
+
+ TrainingObserver observer;
+ int iteration = 0;
+ while (!converged) {
+ ++iteration;
+ observer.Reset();
+#ifdef HAVE_MPI
+ mpi::timer timer;
+ world.barrier();
+#endif
+ if (rank == 0) {
+ cerr << "Starting decoding... (~" << corpus.size() << " sentences / proc)\n";
+ cerr << " Testset size: " << test_corpus.size() << " sentences / proc)\n";
+ for(boost::unordered_map<string, boost::unordered_map<int,double>, boost::hash<string> >::iterator it = ccs.begin(); it != ccs.end(); ++it)
+ it->second.clear();
+ }
+ for (int i = 0; i < corpus.size(); ++i)
+ decoder->Decode(corpus[i], &observer);
+ cerr << " process " << rank << '/' << size << " done\n";
+ fill(gradient.begin(), gradient.end(), 0);
+ double objective = 0;
+ observer.SetLocalGradientAndObjective(&gradient, &objective);
+
+ unsigned total_words = 0;
+#ifdef HAVE_MPI
+ double to = 0;
+ rcv_grad.resize(num_feats, 0.0);
+ mpi::reduce(world, &gradient[0], gradient.size(), &rcv_grad[0], plus<double>(), 0);
+ swap(gradient, rcv_grad);
+ rcv_grad.clear();
+
+ reduce(world, observer.trg_words, total_words, std::plus<unsigned>(), 0);
+ mpi::reduce(world, objective, to, plus<double>(), 0);
+ objective = to;
+#else
+ total_words = observer.trg_words;
+#endif
+ if (rank == 0) { // run optimizer only on rank=0 node
+ cerr << "TRAINING CORPUS: ln p(x)=" << objective << "\t log_2 p(x) = " << (objective/log(2)) << "\t cross entropy = " << (objective/log(2) / total_words) << "\t ppl = " << pow(2, (-objective/log(2) / total_words)) << endl;
+ for (unsigned f = 1; f < num_feats; ++f) {
+ boost::unordered_map<int, double>* m = cpd_to_acc[f];
+ if (m && gradient[f]) {
+ (*m)[f] += gradient[f];
+ }
+ for(boost::unordered_map<string, boost::unordered_map<int,double>, boost::hash<string> >::iterator it = ccs.begin(); it != ccs.end(); ++it) {
+ const boost::unordered_map<int,double>& ccs = it->second;
+ double z = 0;
+ for (boost::unordered_map<int,double>::const_iterator ci = ccs.begin(); ci != ccs.end(); ++ci)
+ z += ci->second + 1e-09;
+ double lz = log(z);
+ for (boost::unordered_map<int,double>::const_iterator ci = ccs.begin(); ci != ccs.end(); ++ci)
+ lambdas[ci->first] = log(ci->second + 1e-09) - lz;
+ }
+ }
+ Weights::SanityCheck(lambdas);
+ Weights::ShowLargestFeatures(lambdas);
+
+ converged = (iteration == iterations);
+
+ string fname = "weights.cur.gz";
+ if (converged) { fname = "weights.final.gz"; }
+ ostringstream vv;
+ vv << "Objective = " << objective << " (eval count=" << iteration << ")";
+ const string svv = vv.str();
+ Weights::WriteToFile(fname, lambdas, true, &svv);
+ } // rank == 0
+ int cint = converged;
+#ifdef HAVE_MPI
+ mpi::broadcast(world, &lambdas[0], lambdas.size(), 0);
+ mpi::broadcast(world, cint, 0);
+ if (rank == 0) { cerr << " ELAPSED TIME THIS ITERATION=" << timer.elapsed() << endl; }
+#endif
+ converged = cint;
+ }
+ return 0;
+}
+
diff --git a/training/utils/Makefile.am b/training/utils/Makefile.am
index 156a2462..27c6e344 100644
--- a/training/utils/Makefile.am
+++ b/training/utils/Makefile.am
@@ -11,10 +11,10 @@ noinst_PROGRAMS = \
EXTRA_DIST = decode-and-evaluate.pl libcall.pl parallelize.pl
-sentserver_SOURCES = sentserver.c
+sentserver_SOURCES = sentserver.cc
sentserver_LDFLAGS = -pthread
-sentclient_SOURCES = sentclient.c
+sentclient_SOURCES = sentclient.cc
sentclient_LDFLAGS = -pthread
TESTS = lbfgs_test optimize_test
diff --git a/training/utils/sentclient.c b/training/utils/sentclient.cc
index 91d994ab..91d994ab 100644
--- a/training/utils/sentclient.c
+++ b/training/utils/sentclient.cc
diff --git a/training/utils/sentserver.c b/training/utils/sentserver.cc
index c20b4fa6..b425955f 100644
--- a/training/utils/sentserver.c
+++ b/training/utils/sentserver.cc
@@ -85,7 +85,7 @@ struct line * queue_get(int fid) {
if (log_mutex) fprintf(stderr, "Unlocking input mutex (%d)\n", fid);
pthread_mutex_unlock(&input_mutex);
- cur = malloc(sizeof (struct line));
+ cur = (line*)malloc(sizeof (struct line));
cur->id = n_sent;
cur->s = s;
cur->next = NULL;
@@ -99,7 +99,7 @@ struct line * queue_get(int fid) {
fprintf(stderr, "Received ===SYNCH=== signal (fid %d)\n", fid);
// Note: queue_finish calls free(cur->s).
// Therefore we need to create a new string here.
- synch = malloc((strlen("===SYNCH===\n")+2) * sizeof (char));
+ synch = (char*)malloc((strlen("===SYNCH===\n")+2) * sizeof (char));
synch = strcpy(synch, s);
if (log_mutex) fprintf(stderr, "Unlocking queue mutex (%d)\n", fid);
@@ -247,7 +247,7 @@ void queue_finish(struct line *node, char *s, int fid) {
char * read_line(int fd, int multiline) {
int size = 80;
char errorbuf[100];
- char *s = malloc(size+2);
+ char *s = (char*)malloc(size+2);
int result, errors=0;
int i = 0;
@@ -257,7 +257,7 @@ char * read_line(int fd, int multiline) {
if (result < 0) {
perror("read()");
sprintf(errorbuf, "Error code: %d\n", errno);
- fprintf(stderr, errorbuf);
+ fputs(errorbuf, stderr);
errors++;
if (errors > 5) {
free(s);
@@ -301,7 +301,7 @@ char * read_line(int fd, int multiline) {
if (i == size) {
size = size*2;
- s = realloc(s, size+2);
+ s = (char*)realloc(s, size+2);
}
}
@@ -343,7 +343,7 @@ void * new_client(void *arg) {
if (result < strlen(cur->s)){
perror("write()");
sprintf(errorbuf, "Error code: %d\n", errno);
- fprintf(stderr, errorbuf);
+ fputs(errorbuf, stderr);
pthread_mutex_lock(&clients_mutex);
n_clients--;
@@ -474,7 +474,7 @@ int main (int argc, char *argv[]) {
sleep(1);
continue;
}
- client = malloc(sizeof(struct clientinfo));
+ client = (clientinfo*)malloc(sizeof(struct clientinfo));
client->s = g;
bcopy(&from, &client->sin, len);