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authorMichael Denkowski <michael.j.denkowski@gmail.com>2012-12-22 16:01:23 -0500
committerMichael Denkowski <michael.j.denkowski@gmail.com>2012-12-22 16:01:23 -0500
commit597d89c11db53e91bc011eab70fd613bbe6453e8 (patch)
tree83c87c07d1ff6d3ee4e3b1626f7eddd49c61095b /training/crf/mpi_compute_cllh.cc
parent65e958ff2678a41c22be7171456a63f002ef370b (diff)
parent201af2acd394415a05072fbd53d42584875aa4b4 (diff)
Merge branch 'master' of git://github.com/redpony/cdec
Diffstat (limited to 'training/crf/mpi_compute_cllh.cc')
-rw-r--r--training/crf/mpi_compute_cllh.cc134
1 files changed, 134 insertions, 0 deletions
diff --git a/training/crf/mpi_compute_cllh.cc b/training/crf/mpi_compute_cllh.cc
new file mode 100644
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+++ b/training/crf/mpi_compute_cllh.cc
@@ -0,0 +1,134 @@
+#include <iostream>
+#include <vector>
+#include <cassert>
+#include <cmath>
+
+#include "config.h"
+#ifdef HAVE_MPI
+#include <boost/mpi.hpp>
+#endif
+#include <boost/program_options.hpp>
+#include <boost/program_options/variables_map.hpp>
+
+#include "cllh_observer.h"
+#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 "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()
+ ("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;
+ return false;
+ }
+ return true;
+}
+
+void ReadInstances(const string& fname, int rank, int size, vector<string>* c) {
+ assert(fname != "-");
+ 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;
+
+#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();
+ }
+
+ // load weights
+ vector<weight_t>& weights = decoder.CurrentWeightVector();
+ if (conf.count("weights"))
+ Weights::InitFromFile(conf["weights"].as<string>(), &weights);
+
+ vector<string> corpus;
+ ReadInstances(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";
+
+ ConditionalLikelihoodObserver observer;
+ for (int i = 0; i < corpus.size(); ++i)
+ decoder.Decode(corpus[i], &observer);
+
+ double objective = 0;
+ unsigned total_words = 0;
+#ifdef HAVE_MPI
+ reduce(world, observer.acc_obj, objective, std::plus<double>(), 0);
+ reduce(world, observer.trg_words, total_words, std::plus<unsigned>(), 0);
+#else
+ objective = observer.acc_obj;
+#endif
+
+ if (rank == 0) {
+ cout << "CONDITIONAL LOG_e LIKELIHOOD: " << objective << endl;
+ cout << "CONDITIONAL LOG_2 LIKELIHOOD: " << (objective/log(2)) << endl;
+ cout << " CONDITIONAL ENTROPY: " << (objective/log(2) / total_words) << endl;
+ cout << " PERPLEXITY: " << pow(2, (objective/log(2) / total_words)) << endl;
+ }
+
+ return 0;
+}
+