From 2236c965384b968e010b757691db20d95c349a73 Mon Sep 17 00:00:00 2001
From: redpony <redpony@ec762483-ff6d-05da-a07a-a48fb63a330f>
Date: Wed, 13 Oct 2010 16:22:54 +0000
Subject: trigger ff, max iteration for online optimizer

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@671 ec762483-ff6d-05da-a07a-a48fb63a330f
---
 training/mpi_online_optimize.cc | 19 ++++++++++++-------
 1 file changed, 12 insertions(+), 7 deletions(-)

(limited to 'training')

diff --git a/training/mpi_online_optimize.cc b/training/mpi_online_optimize.cc
index d662e8bd..509fbf15 100644
--- a/training/mpi_online_optimize.cc
+++ b/training/mpi_online_optimize.cc
@@ -4,10 +4,9 @@
 #include <vector>
 #include <cassert>
 #include <cmath>
+#include <tr1/memory>
 
-#include <mpi.h>
 #include <boost/mpi.hpp>
-#include <boost/shared_ptr.hpp>
 #include <boost/program_options.hpp>
 #include <boost/program_options/variables_map.hpp>
 
@@ -24,8 +23,8 @@
 #include "sparse_vector.h"
 #include "sampler.h"
 
+
 using namespace std;
-using boost::shared_ptr;
 namespace po = boost::program_options;
 
 void SanityCheck(const vector<double>& w) {
@@ -57,13 +56,14 @@ void ShowLargestFeatures(const vector<double>& w) {
   cerr << endl;
 }
 
-void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
+bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
   po::options_description opts("Configuration options");
   opts.add_options()
         ("input_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")
         ("output_weights,o",po::value<string>()->default_value("-"),"Output feature weights file")
+        ("maximum_iteration,i", po::value<unsigned>(), "Maximum number of iterations")
         ("minibatch_size_per_proc,s", po::value<unsigned>()->default_value(5), "Number of training instances evaluated per processor in each minibatch")
         ("freeze_feature_set,Z", "The feature set specified in the initial weights file is frozen throughout the duration of training")
         ("optimization_method,m", po::value<string>()->default_value("sgd"), "Optimization method (sgd)")
@@ -89,9 +89,9 @@ void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
 
   if (conf->count("help") || !conf->count("training_data") || !conf->count("decoder_config")) {
     cerr << dcmdline_options << endl;
-    MPI::Finalize();
-    exit(1);
+    return false;
   }
+  return true;
 }
 
 void ReadTrainingCorpus(const string& fname, vector<string>* c) {
@@ -220,7 +220,8 @@ int main(int argc, char** argv) {
   std::tr1::shared_ptr<MT19937> rng;
 
   po::variables_map conf;
-  InitCommandLine(argc, argv, &conf);
+  if (!InitCommandLine(argc, argv, &conf))
+    return 1;
 
   // load initial weights
   Weights weights;
@@ -292,6 +293,10 @@ int main(int argc, char** argv) {
     observer.Reset();
     decoder.SetWeights(lambdas);
     if (rank == 0) {
+      if (conf.count("maximum_iteration")) {
+        if (iter == conf["maximum_iteration"].as<unsigned>())
+          converged = true;
+      }
       SanityCheck(lambdas);
       ShowLargestFeatures(lambdas);
       string fname = "weights.cur.gz";
-- 
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