From 6802ac200ef614b4935d597ed4cfc3857c1f6c06 Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@allegro.clab.cs.cmu.edu>
Date: Tue, 20 Nov 2012 13:56:08 -0500
Subject: fixes for 2011 optimizer

---
 training/crf/mpi_online_optimize.cc | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

(limited to 'training')

diff --git a/training/crf/mpi_online_optimize.cc b/training/crf/mpi_online_optimize.cc
index d6968848..9e1ae34c 100644
--- a/training/crf/mpi_online_optimize.cc
+++ b/training/crf/mpi_online_optimize.cc
@@ -5,6 +5,7 @@
 #include <cassert>
 #include <cmath>
 #include <tr1/memory>
+#include <ctime>
 
 #include <boost/program_options.hpp>
 #include <boost/program_options/variables_map.hpp>
@@ -41,6 +42,7 @@ bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
         ("training_agenda,a",po::value<string>(), "Text file listing a series of configuration files and the number of iterations to train using each configuration successively")
         ("minibatch_size_per_proc,s", po::value<unsigned>()->default_value(5), "Number of training instances evaluated per processor in each minibatch")
         ("optimization_method,m", po::value<string>()->default_value("sgd"), "Optimization method (sgd)")
+        ("max_walltime", po::value<unsigned>(), "Maximum walltime to run (in minutes)")
         ("random_seed,S", po::value<uint32_t>(), "Random seed (if not specified, /dev/random will be used)")
         ("eta_0,e", po::value<double>()->default_value(0.2), "Initial learning rate for SGD (eta_0)")
         ("L1,1","Use L1 regularization")
@@ -304,6 +306,9 @@ int main(int argc, char** argv) {
   int write_weights_every_ith = 100; // TODO configure
   int titer = -1;
 
+  unsigned timeout = 0;
+  if (conf.count("max_walltime")) timeout = 60 * conf["max_walltime"].as<unsigned>();
+  const time_t start_time = time(NULL);
   for (int ai = 0; ai < agenda.size(); ++ai) {
     const string& cur_config = agenda[ai].first;
     const unsigned max_iteration = agenda[ai].second;
@@ -336,9 +341,14 @@ int main(int argc, char** argv) {
           ostringstream o; o << "weights.epoch_" << (ai+1) << '.' << iter << ".gz";
           fname = o.str();
         }
+        const time_t cur_time = time(NULL);
+        if (timeout) {
+          if ((cur_time - start_time) > timeout) converged = true;
+        }
         if (converged && ((ai+1)==agenda.size())) { fname = "weights.final.gz"; }
         ostringstream vv;
-        vv << "total iter=" << titer << " (of current config iter=" << iter << ")  minibatch=" << size_per_proc << " sentences/proc x " << size << " procs.   num_feats=" << x.size() << '/' << FD::NumFeats() << "   passes_thru_data=" << (titer * size_per_proc / static_cast<double>(corpus.size())) << "   eta=" << lr->eta(titer);
+        double minutes = (cur_time - start_time) / 60.0;
+        vv << "total walltime=" << minutes << "min iter=" << titer << " (of current config iter=" << iter << ")  minibatch=" << size_per_proc << " sentences/proc x " << size << " procs.   num_feats=" << x.size() << '/' << FD::NumFeats() << "   passes_thru_data=" << (titer * size_per_proc / static_cast<double>(corpus.size())) << "   eta=" << lr->eta(titer);
         const string svv = vv.str();
         cerr << svv << endl;
         Weights::WriteToFile(fname, lambdas, true, &svv);
-- 
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