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authorChris Dyer <cdyer@cs.cmu.edu>2011-07-06 20:41:52 -0400
committerChris Dyer <cdyer@cs.cmu.edu>2011-07-06 20:41:52 -0400
commit1a49acb8c540e39f1a95f464197e12f44ad98a3e (patch)
tree40cd59884e0720572821b08c0d94d7b7c40537f4 /training
parentf69c59716b161500011ea60892254c2701b9d63e (diff)
tool to compute feature expectations in translation charts
Diffstat (limited to 'training')
-rw-r--r--training/Makefile.am4
-rw-r--r--training/feature_expectations.cc232
2 files changed, 236 insertions, 0 deletions
diff --git a/training/Makefile.am b/training/Makefile.am
index 0d9085e4..e075e417 100644
--- a/training/Makefile.am
+++ b/training/Makefile.am
@@ -14,6 +14,7 @@ bin_PROGRAMS = \
mpi_batch_optimize \
mpi_em_optimize \
compute_cllh \
+ feature_expectations \
augment_grammar
noinst_PROGRAMS = \
@@ -28,6 +29,9 @@ mpi_online_optimize_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/mteval
mpi_batch_optimize_SOURCES = mpi_batch_optimize.cc optimize.cc
mpi_batch_optimize_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/mteval/libmteval.a $(top_srcdir)/utils/libutils.a ../klm/lm/libklm.a ../klm/util/libklm_util.a -lz
+feature_expectations_SOURCES = feature_expectations.cc
+feature_expectations_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/mteval/libmteval.a $(top_srcdir)/utils/libutils.a ../klm/lm/libklm.a ../klm/util/libklm_util.a -lz
+
mpi_em_optimize_SOURCES = mpi_em_optimize.cc optimize.cc
mpi_em_optimize_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/mteval/libmteval.a $(top_srcdir)/utils/libutils.a ../klm/lm/libklm.a ../klm/util/libklm_util.a -lz
diff --git a/training/feature_expectations.cc b/training/feature_expectations.cc
new file mode 100644
index 00000000..f1a85495
--- /dev/null
+++ b/training/feature_expectations.cc
@@ -0,0 +1,232 @@
+#include <sstream>
+#include <iostream>
+#include <fstream>
+#include <vector>
+#include <cassert>
+#include <cmath>
+#include <tr1/memory>
+
+#include <boost/program_options.hpp>
+#include <boost/program_options/variables_map.hpp>
+
+#include "verbose.h"
+#include "hg.h"
+#include "prob.h"
+#include "inside_outside.h"
+#include "ff_register.h"
+#include "decoder.h"
+#include "filelib.h"
+#include "online_optimizer.h"
+#include "fdict.h"
+#include "weights.h"
+#include "sparse_vector.h"
+#include "sampler.h"
+
+#ifdef HAVE_MPI
+#include <boost/mpi/timer.hpp>
+#include <boost/mpi.hpp>
+namespace mpi = boost::mpi;
+#endif
+
+using namespace std;
+namespace po = boost::program_options;
+
+struct FComp {
+ const vector<double>& w_;
+ FComp(const vector<double>& w) : w_(w) {}
+ bool operator()(int a, int b) const {
+ return fabs(w_[a]) > fabs(w_[b]);
+ }
+};
+
+void ShowFeatures(const vector<double>& w) {
+ vector<int> fnums(w.size());
+ for (int i = 0; i < w.size(); ++i)
+ fnums[i] = i;
+ sort(fnums.begin(), fnums.end(), FComp(w));
+ for (vector<int>::iterator i = fnums.begin(); i != fnums.end(); ++i) {
+ if (w[*i]) cout << FD::Convert(*i) << ' ' << w[*i] << endl;
+ }
+}
+
+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());
+}
+
+bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
+ po::options_description opts("Configuration options");
+ opts.add_options()
+ ("input,i",po::value<string>(),"Corpus of source language sentences")
+ ("weights,w",po::value<string>(),"Input feature weights file")
+ ("decoder_config,c",po::value<string>(), "cdec.ini 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") || !conf->count("decoder_config")) {
+ cerr << dcmdline_options << endl;
+ return false;
+ }
+ return true;
+}
+
+void ReadTrainingCorpus(const string& fname, int rank, int size, vector<string>* c, vector<int>* order) {
+ ReadFile rf(fname);
+ istream& in = *rf.stream();
+ string line;
+ int id = 0;
+ while(in) {
+ getline(in, line);
+ if (!in) break;
+ if (id % size == rank) {
+ c->push_back(line);
+ order->push_back(id);
+ }
+ ++id;
+ }
+}
+
+static const double kMINUS_EPSILON = -1e-6;
+
+struct TrainingObserver : public DecoderObserver {
+ void Reset() {
+ acc_exp.clear();
+ total_complete = 0;
+ }
+
+ virtual void NotifyDecodingStart(const SentenceMetadata& smeta) {
+ cur_model_exp.clear();
+ state = 1;
+ }
+
+ // compute model expectations, denominator of objective
+ virtual void NotifyTranslationForest(const SentenceMetadata& smeta, Hypergraph* hg) {
+ assert(state == 1);
+ state = 2;
+ const prob_t z = InsideOutside<prob_t,
+ EdgeProb,
+ SparseVector<prob_t>,
+ EdgeFeaturesAndProbWeightFunction>(*hg, &cur_model_exp);
+ cur_model_exp /= z;
+ acc_exp += cur_model_exp;
+ }
+
+ virtual void NotifyAlignmentForest(const SentenceMetadata& smeta, Hypergraph* hg) {
+ cerr << "IGNORING ALIGNMENT FOREST!\n";
+ }
+
+ virtual void NotifyDecodingComplete(const SentenceMetadata& smeta) {
+ if (state == 2) {
+ ++total_complete;
+ }
+ }
+
+ void GetExpectations(SparseVector<double>* g) const {
+ g->clear();
+ for (SparseVector<prob_t>::const_iterator it = acc_exp.begin(); it != acc_exp.end(); ++it)
+ g->set_value(it->first, it->second);
+ }
+
+ int total_complete;
+ SparseVector<prob_t> cur_model_exp;
+ SparseVector<prob_t> acc_exp;
+ int state;
+};
+
+#ifdef HAVE_MPI
+namespace boost { namespace mpi {
+ template<>
+ struct is_commutative<std::plus<SparseVector<double> >, SparseVector<double> >
+ : mpl::true_ { };
+} } // end namespace boost::mpi
+#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
+ if (size > 1) SetSilent(true); // turn off verbose decoder output
+ register_feature_functions();
+
+ po::variables_map conf;
+ if (!InitCommandLine(argc, argv, &conf))
+ return 1;
+
+ // load initial weights
+ Weights weights;
+ if (conf.count("weights"))
+ weights.InitFromFile(conf["weights"].as<string>());
+
+ vector<string> corpus;
+ vector<int> ids;
+ ReadTrainingCorpus(conf["input"].as<string>(), rank, size, &corpus, &ids);
+ assert(corpus.size() > 0);
+
+ vector<string> cdec_ini;
+ ReadConfig(conf["decoder_config"].as<string>(), &cdec_ini);
+ istringstream ini;
+ StoreConfig(cdec_ini, &ini);
+ Decoder decoder(&ini);
+ if (decoder.GetConf()["input"].as<string>() != "-") {
+ cerr << "cdec.ini must not set an input file\n";
+ return 1;
+ }
+
+ SparseVector<double> x;
+ weights.InitSparseVector(&x);
+ TrainingObserver observer;
+
+ weights.InitFromVector(x);
+ vector<double> lambdas;
+ weights.InitVector(&lambdas);
+ decoder.SetWeights(lambdas);
+ observer.Reset();
+ for (unsigned i = 0; i < corpus.size(); ++i) {
+ int id = ids[i];
+ decoder.SetId(id);
+ decoder.Decode(corpus[i], &observer);
+ }
+ SparseVector<double> local_exps, exps;
+ observer.GetExpectations(&local_exps);
+#ifdef HAVE_MPI
+ reduce(world, local_exps, exps, std::plus<SparseVector<double> >(), 0);
+#else
+ exps.swap(local_exps);
+#endif
+
+ weights.InitFromVector(exps);
+ weights.InitVector(&lambdas);
+ ShowFeatures(lambdas);
+
+ return 0;
+}