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-rw-r--r--training/Makefile.am6
-rw-r--r--training/cllh_filter_grammar.cc38
-rw-r--r--training/compute_cllh.cc185
-rw-r--r--training/model1.cc9
4 files changed, 225 insertions, 13 deletions
diff --git a/training/Makefile.am b/training/Makefile.am
index 83c15ecc..b3f93529 100644
--- a/training/Makefile.am
+++ b/training/Makefile.am
@@ -20,13 +20,17 @@ TESTS = lbfgs_test optimize_test
if MPI
bin_PROGRAMS += mpi_batch_optimize \
- mpi_online_optimize
+ mpi_online_optimize \
+ compute_cllh
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 -lz
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 -lz
+
+compute_cllh_SOURCES = compute_cllh.cc
+compute_cllh_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/mteval/libmteval.a $(top_srcdir)/utils/libutils.a -lz
endif
cllh_filter_grammar_SOURCES = cllh_filter_grammar.cc
diff --git a/training/cllh_filter_grammar.cc b/training/cllh_filter_grammar.cc
index 90fe9fba..6998ec2b 100644
--- a/training/cllh_filter_grammar.cc
+++ b/training/cllh_filter_grammar.cc
@@ -22,7 +22,10 @@ void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
opts.add_options()
("training_data,t",po::value<string>(),"Training data corpus")
("decoder_config,c",po::value<string>(),"Decoder configuration file")
- ("ncpus,n",po::value<unsigned>()->default_value(1),"Number of CPUs to use");
+ ("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")
@@ -49,6 +52,8 @@ void ReadTrainingCorpus(const string& fname, int rank, int size, vector<string>*
istream& in = *rf.stream();
string line;
int lc = 0;
+ assert(size > 0);
+ assert(rank < size);
while(in) {
getline(in, line);
if (!in) break;
@@ -112,6 +117,7 @@ void work(const string& fname, int rank, int size, Decoder* decoder) {
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());
@@ -121,13 +127,14 @@ void work(const string& fname, int rank, int size, Decoder* decoder) {
set<const TRule*> all_used;
TrainingObserver observer;
for (int i = 0; i < corpus.size(); ++i) {
- int ex_num = ids[i];
- decoder->SetId(ex_num);
- decoder->Decode(corpus[ex_num], &observer);
+ const int sent_id = ids[i];
+ const string& input = corpus[i];
+ decoder->SetId(sent_id);
+ decoder->Decode(input, &observer);
if (observer.failed) {
- (*foc.stream()) << "*** id=" << ex_num << " is unreachable\n";
+ // do nothing
} else {
- (*foc.stream()) << corpus[ex_num] << endl;
+ (*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;
@@ -143,6 +150,11 @@ int main(int argc, char** argv) {
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());
@@ -162,8 +174,13 @@ int main(int argc, char** argv) {
if (pid > 0) {
children.push_back(pid);
} else {
- work(fname, i, ncpus, &decoder);
- cerr << " " << i << "/" << ncpus << " finished.\n";
+ 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);
}
}
@@ -171,7 +188,10 @@ int main(int argc, char** argv) {
int status;
int w = waitpid(children[i], &status, 0);
if (w < 0) { cerr << "Error while waiting for children!"; return 1; }
- cerr << "Child " << i << ": status=" << status << " sig?=" << WIFSIGNALED(status) << " sig=" << WTERMSIG(status) << endl;
+ 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/compute_cllh.cc b/training/compute_cllh.cc
new file mode 100644
index 00000000..f25e17c3
--- /dev/null
+++ b/training/compute_cllh.cc
@@ -0,0 +1,185 @@
+#include <sstream>
+#include <iostream>
+#include <fstream>
+#include <vector>
+#include <cassert>
+#include <cmath>
+
+#include <mpi.h>
+#include <boost/mpi.hpp>
+#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 "weights.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()
+ ("weights,w",po::value<string>(),"Input feature weights file")
+ ("training_data,t",po::value<string>(),"Training data corpus")
+ ("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("training_data") || !conf->count("decoder_config")) {
+ cerr << dcmdline_options << endl;
+ MPI::Finalize();
+ 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;
+ while(in) {
+ getline(in, line);
+ if (!in) break;
+ if (lc % size == rank) {
+ c->push_back(line);
+ ids->push_back(lc);
+ }
+ ++lc;
+ }
+}
+
+static const double kMINUS_EPSILON = -1e-6;
+
+struct TrainingObserver : public DecoderObserver {
+ void Reset() {
+ acc_obj = 0;
+ }
+
+ virtual void NotifyDecodingStart(const SentenceMetadata&) {
+ cur_obj = 0;
+ state = 1;
+ }
+
+ // compute model expectations, denominator of objective
+ virtual void NotifyTranslationForest(const SentenceMetadata&, Hypergraph* hg) {
+ assert(state == 1);
+ state = 2;
+ SparseVector<prob_t> cur_model_exp;
+ const prob_t z = InsideOutside<prob_t,
+ EdgeProb,
+ SparseVector<prob_t>,
+ EdgeFeaturesAndProbWeightFunction>(*hg, &cur_model_exp);
+ cur_obj = log(z);
+ }
+
+ // compute "empirical" expectations, numerator of objective
+ virtual void NotifyAlignmentForest(const SentenceMetadata& smeta, Hypergraph* hg) {
+ assert(state == 2);
+ state = 3;
+ SparseVector<prob_t> ref_exp;
+ const prob_t ref_z = InsideOutside<prob_t,
+ EdgeProb,
+ SparseVector<prob_t>,
+ EdgeFeaturesAndProbWeightFunction>(*hg, &ref_exp);
+
+ double log_ref_z;
+#if 0
+ if (crf_uniform_empirical) {
+ log_ref_z = ref_exp.dot(feature_weights);
+ } else {
+ log_ref_z = log(ref_z);
+ }
+#else
+ log_ref_z = log(ref_z);
+#endif
+
+ // rounding errors means that <0 is too strict
+ if ((cur_obj - log_ref_z) < kMINUS_EPSILON) {
+ cerr << "DIFF. ERR! log_model_z < log_ref_z: " << cur_obj << " " << log_ref_z << endl;
+ exit(1);
+ }
+ assert(!isnan(log_ref_z));
+ acc_obj += (cur_obj - log_ref_z);
+ }
+
+ double acc_obj;
+ double cur_obj;
+ int state;
+};
+
+namespace mpi = boost::mpi;
+
+int main(int argc, char** argv) {
+ mpi::environment env(argc, argv);
+ mpi::communicator world;
+ const int size = world.size();
+ const int rank = world.rank();
+ if (size > 1) SetSilent(true); // turn off verbose decoder output
+ register_feature_functions();
+
+ po::variables_map conf;
+ InitCommandLine(argc, argv, &conf);
+
+ // load initial weights
+ Weights weights;
+ if (conf.count("weights"))
+ weights.InitFromFile(conf["weights"].as<string>());
+
+ // freeze feature set
+ //const bool freeze_feature_set = conf.count("freeze_feature_set");
+ //if (freeze_feature_set) FD::Freeze();
+
+ // 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();
+ }
+
+ vector<string> corpus; vector<int> ids;
+ ReadTrainingCorpus(conf["training_data"].as<string>(), rank, size, &corpus, &ids);
+ assert(corpus.size() > 0);
+ assert(corpus.size() == ids.size());
+
+ vector<double> wv;
+ weights.InitVector(&wv);
+ decoder.SetWeights(wv);
+ TrainingObserver observer;
+ double objective = 0;
+ bool converged = false;
+
+ observer.Reset();
+ if (rank == 0)
+ cerr << "Each processor is decoding " << corpus.size() << " training examples...\n";
+
+ for (int i = 0; i < corpus.size(); ++i) {
+ decoder.SetId(ids[i]);
+ decoder.Decode(corpus[i], &observer);
+ }
+
+ reduce(world, observer.acc_obj, objective, std::plus<double>(), 0);
+
+ if (rank == 0)
+ cout << "OBJECTIVE: " << objective << endl;
+
+ return 0;
+}
diff --git a/training/model1.cc b/training/model1.cc
index 92a70985..3e27689f 100644
--- a/training/model1.cc
+++ b/training/model1.cc
@@ -29,8 +29,8 @@ int main(int argc, char** argv) {
double denom = 0.0;
int lc = 0;
bool flag = false;
+ string line;
while(true) {
- string line;
getline(in, line);
if (!in) break;
++lc;
@@ -41,8 +41,11 @@ int main(int argc, char** argv) {
Lattice src, trg;
LatticeTools::ConvertTextToLattice(ssrc, &src);
LatticeTools::ConvertTextToLattice(strg, &trg);
- assert(src.size() > 0);
- assert(trg.size() > 0);
+ if (src.size() == 0 || trg.size() == 0) {
+ cerr << "Error: " << lc << "\n" << line << endl;
+ assert(src.size() > 0);
+ assert(trg.size() > 0);
+ }
denom += 1.0;
vector<double> probs(src.size() + 1);
for (int j = 0; j < trg.size(); ++j) {
generated by cgit v1.2.3 (git 2.39.1) at 2024-11-11 01:58:34 +0000