major restructure of the training code

1 files changed, 0 insertions, 151 deletions

diff --git a/training/mpi_extract_features.cc b/training/mpi_extract_features.cc
deleted file mode 100644
index 6750aa15..00000000
--- a/training/mpi_extract_features.cc
+++ /dev/null
@@ -1,151 +0,0 @@
-#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;
-}
-