From 7417ad2225b4c049cb7cb7122a717e8c8b6e5eaa Mon Sep 17 00:00:00 2001
From: Patrick Simianer <p@simianer.de>
Date: Fri, 28 Oct 2011 14:20:30 +0200
Subject: added support for standard dev tuning setting

---
 dtrain/dtrain.cc | 50 ++++++++++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 48 insertions(+), 2 deletions(-)

(limited to 'dtrain/dtrain.cc')

diff --git a/dtrain/dtrain.cc b/dtrain/dtrain.cc
index 27315358..277d4e14 100644
--- a/dtrain/dtrain.cc
+++ b/dtrain/dtrain.cc
@@ -24,6 +24,9 @@ dtrain_init(int argc, char** argv, po::variables_map* cfg)
     ("gamma",          po::value<weight_t>()->default_value(0),                          "gamma for SVM (0 for perceptron)")
     ("tmp",            po::value<string>()->default_value("/tmp"),                                        "temp dir to use")
     ("select_weights", po::value<string>()->default_value("last"), "output 'best' or 'last' weights ('VOID' to throw away)")
+#ifdef DTRAIN_LOCAL
+    ("refs,r",         po::value<string>(),                                                     "references for local mode")
+#endif
     ("noup",           po::value<bool>()->zero_tokens(),                                            "do not update weights");
   po::options_description cl("Command Line Options");
   cl.add_options()
@@ -45,6 +48,12 @@ dtrain_init(int argc, char** argv, po::variables_map* cfg)
     cerr << "When using 'hstreaming' the 'output' param should be '-'.";
     return false;
   }
+#ifdef DTRAIN_LOCAL
+  if ((*cfg)["input"].as<string>() == "-") {
+    cerr << "Can't use stdin as input with this binary. Recompile without DTRAIN_LOCAL" << endl;
+    return false;
+  }
+#endif
   if ((*cfg)["sample_from"].as<string>() != "kbest"
        && (*cfg)["sample_from"].as<string>() != "forest") {
     cerr << "Wrong 'sample_from' param: '" << (*cfg)["sample_from"].as<string>() << "', use 'kbest' or 'forest'." << endl;
@@ -148,13 +157,19 @@ main(int argc, char** argv)
   string input_fn = cfg["input"].as<string>();
   ReadFile input(input_fn);
   // buffer input for t > 0
-  vector<string> src_str_buf;          // source strings
+  vector<string> src_str_buf;          // source strings (decoder takes only strings)
   vector<vector<WordID> > ref_ids_buf; // references as WordID vecs
   vector<string> weights_files;        // remember weights for each iteration
+  // where temp files go
   string tmp_path = cfg["tmp"].as<string>();
+#ifdef DTRAIN_LOCAL
+  string refs_fn = cfg["refs"].as<string>();
+  ReadFile refs(refs_fn);
+#else
   string grammar_buf_fn = gettmpf(tmp_path, "dtrain-grammars");
   ogzstream grammar_buf_out;
   grammar_buf_out.open(grammar_buf_fn.c_str());
+#endif
   
   unsigned in_sz = UINT_MAX; // input index, input size
   vector<pair<score_t, score_t> > all_scores;
@@ -174,6 +189,9 @@ main(int argc, char** argv)
     if (cfg.count("input_weights"))
       cerr << setw(25) << "weights in" << cfg["input_weights"].as<string>() << endl;
     cerr << setw(25) << "input " << "'" << input_fn << "'" << endl;
+#ifdef DTRAIN_LOCAL 
+    cerr << setw(25) << "refs " << "'" << refs_fn << "'" << endl;
+#endif
     cerr << setw(25) << "output " << "'" << output_fn << "'" << endl;
     if (sample_from == "kbest")
       cerr << setw(25) << "filter " << "'" << filter_type << "'" << endl;
@@ -191,8 +209,10 @@ main(int argc, char** argv)
 
   time_t start, end;  
   time(&start);
+#ifndef DTRAIN_LOCAL
   igzstream grammar_buf_in;
   if (t > 0) grammar_buf_in.open(grammar_buf_fn.c_str());
+#endif
   score_t score_sum = 0.;
   score_t model_sum(0);
   unsigned ii = 0, nup = 0, npairs = 0;
@@ -239,8 +259,9 @@ main(int argc, char** argv)
     lambdas.init_vector(&dense_weights);
 
     // getting input
+    vector<WordID> ref_ids; // reference as vector<WordID>
+#ifndef DTRAIN_LOCAL
     vector<string> in_split; // input: sid\tsrc\tref\tpsg
-    vector<WordID> ref_ids;  // reference as vector<WordID>
     if (t == 0) {
       // handling input
       split_in(in, in_split); 
@@ -280,6 +301,24 @@ main(int argc, char** argv)
       observer->SetRef(ref_ids_buf[ii]);
       decoder.Decode(src_str_buf[ii], observer);
     }
+#else
+    if (t == 0) {
+      string r_;
+      getline(*refs, r_);
+      vector<string> ref_tok;
+      boost::split(ref_tok, r_, boost::is_any_of(" "));
+      register_and_convert(ref_tok, ref_ids);
+      ref_ids_buf.push_back(ref_ids);
+      src_str_buf.push_back(in);
+    } else {
+      ref_ids = ref_ids_buf[ii];
+    }
+    observer->SetRef(ref_ids);
+    if (t == 0) 
+      decoder.Decode(in, observer);
+    else
+      decoder.Decode(src_str_buf[ii], observer);
+#endif
 
     // get (scored) samples 
     vector<ScoredHyp>* samples = observer->GetSamples();
@@ -345,10 +384,15 @@ main(int argc, char** argv)
 
   if (t == 0) {
     in_sz = ii; // remember size of input (# lines)
+  }
+
+#ifndef DTRAIN_LOCAL
+  if (t == 0) {
     grammar_buf_out.close();
   } else {
     grammar_buf_in.close();
   }
+#endif
 
   // print some stats
   score_t score_avg = score_sum/(score_t)in_sz;
@@ -406,7 +450,9 @@ main(int argc, char** argv)
 
   } // outer loop
 
+#ifndef DTRAIN_LOCAL
   unlink(grammar_buf_fn.c_str());
+#endif
 
   if (!noup) {
     if (!quiet) cerr << endl << "Writing weights file to '" << output_fn << "' ..." << endl;
-- 
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