major restructure of the training code

1 files changed, 0 insertions, 134 deletions

diff --git a/training/mpi_compute_cllh.cc b/training/mpi_compute_cllh.cc
deleted file mode 100644
index 066389d0..00000000
--- a/training/mpi_compute_cllh.cc
+++ /dev/null
@@ -1,134 +0,0 @@
-#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;
-}
-