Remove global variable, have decoder hold a pointer

1 files changed, 26 insertions, 43 deletions

diff --git a/decoder/incremental.cc b/decoder/incremental.cc
index a9369374..46615b0b 100644
--- a/decoder/incremental.cc
+++ b/decoder/incremental.cc
@@ -43,21 +43,22 @@ struct MapVocab : public lm::EnumerateVocab {
     std::vector<lm::WordIndex> out_;
 };
 
-class IncrementalBase {
+template <class Model> class Incremental : public IncrementalBase {
   public:
-    IncrementalBase(const std::vector<weight_t> &weights) : 
-      cdec_weights_(weights),
-      weights_(weights[FD::Convert("KLanguageModel")], weights[FD::Convert("KLanguageModel_OOV")], weights[FD::Convert("WordPenalty")]) {
+    Incremental(const char *model_file, const std::vector<weight_t> &weights) :
+      IncrementalBase(weights), 
+      m_(model_file, GetConfig()),
+      weights_(
+          weights[FD::Convert("KLanguageModel")],
+          weights[FD::Convert("KLanguageModel_OOV")],
+          weights[FD::Convert("WordPenalty")]) {
       std::cerr << "Weights KLanguageModel " << weights_.LM() << " KLanguageModel_OOV " << weights_.OOV() << " WordPenalty " << weights_.WordPenalty() << std::endl;
     }
+    void Search(unsigned int pop_limit, const Hypergraph &hg) const;
 
-    virtual ~IncrementalBase() {}
-
-    virtual void Search(unsigned int pop_limit, const Hypergraph &hg) const = 0;
-
-    static IncrementalBase *Load(const char *model_file, const std::vector<weight_t> &weights);
+  private:
+    void ConvertEdge(const search::Context<Model> &context, bool final, search::Vertex *vertices, const Hypergraph::Edge &in, search::EdgeGenerator &gen) const;
 
-  protected:
     lm::ngram::Config GetConfig() {
       lm::ngram::Config ret;
       ret.enumerate_vocab = &vocab_;
@@ -66,36 +67,11 @@ class IncrementalBase {
 
     MapVocab vocab_;
 
-    const std::vector<weight_t> &cdec_weights_;
+    const Model m_;
 
     const search::Weights weights_;
 };
 
-template <class Model> class Incremental : public IncrementalBase {
-  public:
-    Incremental(const char *model_file, const std::vector<weight_t> &weights) : IncrementalBase(weights), m_(model_file, GetConfig()) {}
-
-    void Search(unsigned int pop_limit, const Hypergraph &hg) const;
-
-  private:
-    void ConvertEdge(const search::Context<Model> &context, bool final, search::Vertex *vertices, const Hypergraph::Edge &in, search::EdgeGenerator &gen) const;
-
-    const Model m_;
-};
-
-IncrementalBase *IncrementalBase::Load(const char *model_file, const std::vector<weight_t> &weights) {
-  lm::ngram::ModelType model_type;
-  if (!lm::ngram::RecognizeBinary(model_file, model_type)) model_type = lm::ngram::PROBING;
-  switch (model_type) {
-    case lm::ngram::PROBING:
-      return new Incremental<lm::ngram::ProbingModel>(model_file, weights);
-    case lm::ngram::REST_PROBING:
-      return new Incremental<lm::ngram::RestProbingModel>(model_file, weights);
-    default:
-      UTIL_THROW(util::Exception, "Sorry this lm type isn't supported yet.");
-  }
-}
-
 void PrintFinal(const Hypergraph &hg, const search::Final final) {
   const std::vector<WordID> &words = static_cast<const Hypergraph::Edge*>(final.GetNote().vp)->rule_->e();
   const search::Final *child(final.Children());
@@ -171,14 +147,21 @@ template <class Model> void Incremental<Model>::ConvertEdge(const search::Contex
   gen.AddEdge(out);
 }
 
-boost::scoped_ptr<IncrementalBase> AwfulGlobalIncremental;
-
 } // namespace
 
-void PassToIncremental(const char *model_file, const std::vector<weight_t> &weights, unsigned int pop_limit, const Hypergraph &hg) {
-  if (!AwfulGlobalIncremental.get()) {
-    std::cerr << "Pop limit " << pop_limit << std::endl;
-    AwfulGlobalIncremental.reset(IncrementalBase::Load(model_file, weights));
+IncrementalBase *IncrementalBase::Load(const char *model_file, const std::vector<weight_t> &weights) {
+  lm::ngram::ModelType model_type;
+  if (!lm::ngram::RecognizeBinary(model_file, model_type)) model_type = lm::ngram::PROBING;
+  switch (model_type) {
+    case lm::ngram::PROBING:
+      return new Incremental<lm::ngram::ProbingModel>(model_file, weights);
+    case lm::ngram::REST_PROBING:
+      return new Incremental<lm::ngram::RestProbingModel>(model_file, weights);
+    default:
+      UTIL_THROW(util::Exception, "Sorry this lm type isn't supported yet.");
   }
-  AwfulGlobalIncremental->Search(pop_limit, hg);
 }
+
+IncrementalBase::~IncrementalBase() {}
+
+IncrementalBase::IncrementalBase(const std::vector<weight_t> &weights) : cdec_weights_(weights) {}