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-rw-r--r--training/Makefile.am10
-rw-r--r--training/cllh_filter_grammar.cc197
-rw-r--r--training/mpi_extract_reachable.cc163
3 files changed, 168 insertions, 202 deletions
diff --git a/training/Makefile.am b/training/Makefile.am
index 7ceeda34..5752859e 100644
--- a/training/Makefile.am
+++ b/training/Makefile.am
@@ -9,9 +9,9 @@ bin_PROGRAMS = \
atools \
plftools \
collapse_weights \
- cllh_filter_grammar \
- mpi_online_optimize \
+ mpi_extract_reachable \
mpi_extract_features \
+ mpi_online_optimize \
mpi_batch_optimize \
compute_cllh \
augment_grammar
@@ -25,6 +25,9 @@ TESTS = lbfgs_test optimize_test
mpi_online_optimize_SOURCES = mpi_online_optimize.cc online_optimizer.cc
mpi_online_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
+mpi_extract_reachable_SOURCES = mpi_extract_reachable.cc
+mpi_extract_reachable_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_extract_features_SOURCES = mpi_extract_features.cc
mpi_extract_features_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
@@ -34,9 +37,6 @@ mpi_batch_optimize_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/mteval/
compute_cllh_SOURCES = compute_cllh.cc
compute_cllh_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
-cllh_filter_grammar_SOURCES = cllh_filter_grammar.cc
-cllh_filter_grammar_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
-
augment_grammar_SOURCES = augment_grammar.cc
augment_grammar_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/cllh_filter_grammar.cc b/training/cllh_filter_grammar.cc
deleted file mode 100644
index 6998ec2b..00000000
--- a/training/cllh_filter_grammar.cc
+++ /dev/null
@@ -1,197 +0,0 @@
-#include <iostream>
-#include <vector>
-#include <cassert>
-#include <unistd.h> // fork
-#include <sys/wait.h> // waitpid
-
-#include <boost/program_options.hpp>
-#include <boost/program_options/variables_map.hpp>
-
-#include "tdict.h"
-#include "ff_register.h"
-#include "verbose.h"
-#include "hg.h"
-#include "decoder.h"
-#include "filelib.h"
-
-using namespace std;
-namespace po = boost::program_options;
-
-void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
- po::options_description opts("Configuration options");
- opts.add_options()
- ("training_data,t",po::value<string>(),"Training data corpus")
- ("decoder_config,c",po::value<string>(),"Decoder configuration file")
- ("shards,s",po::value<unsigned>()->default_value(1),"Number of shards")
- ("starting_shard,S",po::value<unsigned>()->default_value(0), "In this invocation only process shards >= S")
- ("work_limit,l",po::value<unsigned>()->default_value(9999), "Process maximially this many shards")
- ("ncpus,C",po::value<unsigned>()->default_value(1),"Number of CPUs to use");
- 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("training_data") || !conf->count("decoder_config")) {
- cerr << dcmdline_options << endl;
- exit(1);
- }
-}
-
-void ReadTrainingCorpus(const string& fname, int rank, int size, vector<string>* c, vector<int>* ids) {
- ReadFile rf(fname);
- istream& in = *rf.stream();
- string line;
- int lc = 0;
- assert(size > 0);
- assert(rank < size);
- while(in) {
- getline(in, line);
- if (!in) break;
- if (lc % size == rank) {
- c->push_back(line);
- ids->push_back(lc);
- }
- ++lc;
- }
-}
-
-struct TrainingObserver : public DecoderObserver {
- TrainingObserver() : s_lhs(-TD::Convert("S")), goal_lhs(-TD::Convert("Goal")) {}
-
- void Reset() {
- total_complete = 0;
- }
-
- virtual void NotifyDecodingStart(const SentenceMetadata& smeta) {
- state = 1;
- used.clear();
- failed = true;
- }
-
- virtual void NotifyTranslationForest(const SentenceMetadata& smeta, Hypergraph* hg) {
- assert(state == 1);
- for (int i = 0; i < hg->edges_.size(); ++i) {
- const TRule* rule = hg->edges_[i].rule_.get();
- if (rule->lhs_ == s_lhs || rule->lhs_ == goal_lhs) // fragile hack to filter out glue rules
- continue;
- used.insert(rule);
- }
- state = 2;
- }
-
- virtual void NotifyAlignmentForest(const SentenceMetadata& smeta, Hypergraph* hg) {
- assert(state == 2);
- state = 3;
- }
-
- virtual void NotifyDecodingComplete(const SentenceMetadata& smeta) {
- if (state == 3) {
- failed = false;
- } else {
- failed = true;
- }
- }
-
- set<const TRule*> used;
-
- const int s_lhs;
- const int goal_lhs;
- bool failed;
- int total_complete;
- int state;
-};
-
-void work(const string& fname, int rank, int size, Decoder* decoder) {
- cerr << "Worker " << rank << '/' << size << " starting.\n";
- vector<string> corpus;
- vector<int> ids;
- ReadTrainingCorpus(fname, rank, size, &corpus, &ids);
- assert(corpus.size() > 0);
- assert(corpus.size() == ids.size());
- cerr << " " << rank << '/' << size << ": has " << corpus.size() << " sentences to process\n";
- ostringstream oc; oc << "corpus." << rank << "_of_" << size;
- WriteFile foc(oc.str());
- ostringstream og; og << "grammar." << rank << "_of_" << size << ".gz";
- WriteFile fog(og.str());
-
- set<const TRule*> all_used;
- TrainingObserver observer;
- for (int i = 0; i < corpus.size(); ++i) {
- const int sent_id = ids[i];
- const string& input = corpus[i];
- decoder->SetId(sent_id);
- decoder->Decode(input, &observer);
- if (observer.failed) {
- // do nothing
- } else {
- (*foc.stream()) << input << endl;
- for (set<const TRule*>::iterator it = observer.used.begin(); it != observer.used.end(); ++it) {
- if (all_used.insert(*it).second)
- (*fog.stream()) << **it << endl;
- }
- }
- }
-}
-
-int main(int argc, char** argv) {
- register_feature_functions();
-
- po::variables_map conf;
- InitCommandLine(argc, argv, &conf);
- const string fname = conf["training_data"].as<string>();
- const unsigned ncpus = conf["ncpus"].as<unsigned>();
- const unsigned shards = conf["shards"].as<unsigned>();
- const unsigned start = conf["starting_shard"].as<unsigned>();
- const unsigned work_limit = conf["work_limit"].as<unsigned>();
- const unsigned eff_shards = min(start + work_limit, shards);
- cerr << "Processing shards " << start << "/" << shards << " to " << eff_shards << "/" << shards << endl;
- assert(ncpus > 0);
- ReadFile ini_rf(conf["decoder_config"].as<string>());
- Decoder decoder(ini_rf.stream());
- if (decoder.GetConf()["input"].as<string>() != "-") {
- cerr << "cdec.ini must not set an input file\n";
- abort();
- }
- SetSilent(true); // turn off verbose decoder output
- cerr << "Forking " << ncpus << " time(s)\n";
- vector<pid_t> children;
- for (int i = 0; i < ncpus; ++i) {
- pid_t pid = fork();
- if (pid < 0) {
- cerr << "Fork failed!\n";
- exit(1);
- }
- if (pid > 0) {
- children.push_back(pid);
- } else {
- for (int j = start; j < eff_shards; ++j) {
- if (j % ncpus == i) {
- cerr << " CPU " << i << " processing shard " << j << endl;
- work(fname, j, shards, &decoder);
- cerr << " Shard " << j << "/" << shards << " finished.\n";
- }
- }
- _exit(0);
- }
- }
- for (int i = 0; i < children.size(); ++i) {
- int status;
- int w = waitpid(children[i], &status, 0);
- if (w < 0) { cerr << "Error while waiting for children!"; return 1; }
- if (WIFSIGNALED(status)) {
- cerr << "Child " << i << " received signal " << WTERMSIG(status) << endl;
- if (WTERMSIG(status) == 11) { cerr << " this is a SEGV- you may be trying to print temporarily created rules\n"; }
- }
- }
- return 0;
-}
diff --git a/training/mpi_extract_reachable.cc b/training/mpi_extract_reachable.cc
new file mode 100644
index 00000000..2a7c2b9d
--- /dev/null
+++ b/training/mpi_extract_reachable.cc
@@ -0,0 +1,163 @@
+#include <iostream>
+#include <sstream>
+#include <vector>
+#include <cassert>
+
+#include "config.h"
+#ifdef HAVE_MPI
+#include <boost/mpi.hpp>
+#endif
+#include <boost/program_options.hpp>
+#include <boost/program_options/variables_map.hpp>
+
+#include "ff_register.h"
+#include "verbose.h"
+#include "filelib.h"
+#include "fdict.h"
+#include "decoder.h"
+#include "weights.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()
+ ("training_data,t",po::value<string>(),"Training data corpus")
+ ("decoder_config,c",po::value<string>(),"Decoder configuration file")
+ ("weights,w", po::value<string>(), "(Optional) weights file; weights may affect what features are encountered in pruning configurations")
+ ("output_prefix,o",po::value<string>()->default_value("reachable"),"Output path prefix");
+ 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("training_data") || !conf->count("decoder_config")) {
+ cerr << "Decode an input set (optionally in parallel using MPI) and write\nout the inputs that produce reachable parallel parses.\n";
+ 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 ReachabilityObserver : public DecoderObserver {
+
+ virtual void NotifyDecodingStart(const SentenceMetadata&) {
+ reachable = false;
+ }
+
+ // compute model expectations, denominator of objective
+ virtual void NotifyTranslationForest(const SentenceMetadata&, Hypergraph* hg) {
+ }
+
+ // compute "empirical" expectations, numerator of objective
+ virtual void NotifyAlignmentForest(const SentenceMetadata& smeta, Hypergraph* hg) {
+ reachable = true;
+ }
+
+ bool reachable;
+};
+
+#ifdef HAVE_MPI
+namespace mpi = 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 false;
+
+ // load cdec.ini and set up decoder
+ ReadFile ini_rf(conf["decoder_config"].as<string>());
+ Decoder decoder(ini_rf.stream());
+ if (decoder.GetConf()["input"].as<string>() != "-") {
+ cerr << "cdec.ini must not set an input file\n";
+ abort();
+ }
+
+ if (FD::UsingPerfectHashFunction()) {
+ cerr << "Your configuration file has enabled a cmph hash function. Please disable.\n";
+ return 1;
+ }
+
+ // load optional weights
+ if (conf.count("weights"))
+ Weights::InitFromFile(conf["weights"].as<string>(), &decoder.CurrentWeightVector());
+
+ vector<string> corpus;
+ ReadTrainingCorpus(conf["training_data"].as<string>(), rank, size, &corpus);
+ assert(corpus.size() > 0);
+
+
+ if (rank == 0)
+ cerr << "Each processor is decoding ~" << corpus.size() << " training examples...\n";
+
+ size_t num_reached = 0;
+ {
+ ostringstream os;
+ os << conf["output_prefix"].as<string>() << '.' << rank << "_of_" << size;
+ WriteFile wf(os.str());
+ ostream& out = *wf.stream();
+ ReachabilityObserver observer;
+ for (int i = 0; i < corpus.size(); ++i) {
+ decoder.Decode(corpus[i], &observer);
+ if (observer.reachable) {
+ out << corpus[i] << endl;
+ ++num_reached;
+ }
+ corpus[i].clear();
+ }
+ cerr << "Shard " << rank << '/' << size << " finished, wrote "
+ << num_reached << " instances to " << os.str() << endl;
+ }
+
+ size_t total = 0;
+#ifdef HAVE_MPI
+ reduce(world, num_reached, total, std::plus<double>(), 0);
+#else
+ total = num_reached;
+#endif
+ if (rank == 0) {
+ cerr << "-----------------------------------------\n";
+ cerr << "TOTAL = " << total << " instances\n";
+ }
+ return 0;
+}
+
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