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src/bin/sum-tree-stats.cc 3.19 KB
8dcb6dfcb   Yannick Estève   first commit
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  // bin/sum-tree-stats.cc
  
  // Copyright 2009-2011  Microsoft Corporation, GoVivace Inc.
  
  // See ../../COPYING for clarification regarding multiple authors
  //
  // Licensed under the Apache License, Version 2.0 (the "License");
  // you may not use this file except in compliance with the License.
  // You may obtain a copy of the License at
  //
  //  http://www.apache.org/licenses/LICENSE-2.0
  //
  // THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  // KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
  // WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
  // MERCHANTABLITY OR NON-INFRINGEMENT.
  // See the Apache 2 License for the specific language governing permissions and
  // limitations under the License.
  
  #include "base/kaldi-common.h"
  #include "util/common-utils.h"
  #include "tree/context-dep.h"
  #include "tree/clusterable-classes.h"
  #include "tree/build-tree-utils.h"
  
  int main(int argc, char *argv[]) {
    using namespace kaldi;
    typedef kaldi::int32 int32;
    try {
      const char *usage =
          "Sum statistics for phonetic-context tree building.
  "
          "Usage:  sum-tree-stats [options] tree-accs-out tree-accs-in1 tree-accs-in2 ...
  "
          "e.g.: 
  "
          " sum-tree-stats treeacc 1.treeacc 2.treeacc 3.treeacc
  ";
  
      ParseOptions po(usage);
      bool binary = true;
  
      po.Register("binary", &binary, "Write output in binary mode");
      po.Read(argc, argv);
  
      if (po.NumArgs() < 2) {
        po.PrintUsage();
        exit(1);
      }
  
      std::map<EventType, Clusterable*> tree_stats;
      
      std::string tree_stats_wxfilename = po.GetArg(1);
  
      // A reminder on what BuildTreeStatsType is:
      // typedef std::vector<std::pair<EventType, Clusterable*> > BuildTreeStatsType;
      
      for (int32 arg = 2; arg <= po.NumArgs(); arg++) {
        std::string tree_stats_rxfilename = po.GetArg(arg);
        bool binary_in;
        Input ki(tree_stats_rxfilename, &binary_in);
        BuildTreeStatsType stats_array;
        GaussClusterable example; // Lets ReadBuildTreeStats know which type to read..
        ReadBuildTreeStats(ki.Stream(), binary_in, example, &stats_array);
        for (BuildTreeStatsType::iterator iter = stats_array.begin();
             iter != stats_array.end(); ++iter) {
          EventType e = iter->first;
          Clusterable *c = iter->second;
          std::map<EventType, Clusterable*>::iterator map_iter = tree_stats.find(e);
          if (map_iter == tree_stats.end()) { // Not already present.
            tree_stats[e] = c;
          } else {
            map_iter->second->Add(*c);
            delete c;
          }
        }
      }
  
      BuildTreeStatsType stats;  // vectorized form.
  
      for (std::map<EventType, Clusterable*>::const_iterator iter = tree_stats.begin();  
          iter != tree_stats.end();
           ++iter) {
        stats.push_back(std::make_pair(iter->first, iter->second));
      }
      tree_stats.clear();
  
      {
        Output ko(tree_stats_wxfilename, binary);
        WriteBuildTreeStats(ko.Stream(), binary, stats);
      }
      KALDI_LOG << "Wrote summed accs ( " << stats.size() << " individual stats)";
      DeleteBuildTreeStats(&stats);
      return (stats.size() != 0 ? 0 : 1);
    } catch(const std::exception &e) {
      std::cerr << e.what();
      return -1;
    }
  }