1 files changed, 151 insertions, 0 deletions
diff --git a/training/crf/mpi_extract_features.cc b/training/crf/mpi_extract_features.cc
new file mode 100644
index 00000000..6750aa15
--- /dev/null
+++ b/training/crf/mpi_extract_features.cc
@@ -0,0 +1,151 @@
+#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("features"),"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 feature strings encountered.\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 TrainingObserver : public DecoderObserver {
+
+  virtual void NotifyDecodingStart(const SentenceMetadata&) {
+  }
+
+  // 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) {
+  }
+};
+
+#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);
+
+  TrainingObserver observer;
+
+  if (rank == 0)
+    cerr << "Each processor is decoding ~" << corpus.size() << " training examples...\n";
+
+  for (int i = 0; i < corpus.size(); ++i)
+    decoder.Decode(corpus[i], &observer);
+
+  {
+    ostringstream os;
+    os << conf["output_prefix"].as<string>() << '.' << rank << "_of_" << size;
+    WriteFile wf(os.str());
+    ostream& out = *wf.stream();
+    const unsigned num_feats = FD::NumFeats();
+    for (unsigned i = 1; i < num_feats; ++i) {
+      out << FD::Convert(i) << endl;
+    }
+    cerr << "Wrote " << os.str() << endl;
+  }
+
+#ifdef HAVE_MPI
+  world.barrier();
+#else
+#endif
+
+  return 0;
+}
+