From a2255a437d834afcf4c685d84bbfc8cfe895deb7 Mon Sep 17 00:00:00 2001
From: graehl <graehl@ec762483-ff6d-05da-a07a-a48fb63a330f>
Date: Tue, 27 Jul 2010 04:59:59 +0000
Subject: sample fsa ffs compile

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@432 ec762483-ff6d-05da-a07a-a48fb63a330f
---
 decoder/cdec.cc         | 11 ++++++-----
 decoder/cdec_ff.cc      |  5 ++---
 decoder/ff_fsa.h        | 40 ++++++++++++++++++++++++++++++----------
 decoder/ff_lm_fsa.h     |  6 +++---
 decoder/ff_sample_fsa.h |  5 ++---
 5 files changed, 43 insertions(+), 24 deletions(-)

(limited to 'decoder')

diff --git a/decoder/cdec.cc b/decoder/cdec.cc
index 76551cfa..460e9f15 100644
--- a/decoder/cdec.cc
+++ b/decoder/cdec.cc
@@ -388,6 +388,12 @@ int main(int argc, char** argv) {
     exit(1);
   }
 
+  const string input = str("input",conf);
+  cerr << "Reading input from " << ((input == "-") ? "STDIN" : input.c_str()) << endl;
+  ReadFile in_read(input);
+  istream *in = in_read.stream();
+  assert(*in);
+
   // load feature weights (and possibly freeze feature set)
   vector<double> feature_weights,prelm_feature_weights;
   Weights w,prelm_w;
@@ -503,11 +509,6 @@ int main(int argc, char** argv) {
 
   int combine_size = conf["combine_size"].as<int>();
   if (combine_size < 1) combine_size = 1;
-  const string input = str("input",conf);
-  cerr << "Reading input from " << ((input == "-") ? "STDIN" : input.c_str()) << endl;
-  ReadFile in_read(input);
-  istream *in = in_read.stream();
-  assert(*in);
 
   SparseVector<prob_t> acc_vec;  // accumulate gradient
   double acc_obj = 0; // accumulate objective
diff --git a/decoder/cdec_ff.cc b/decoder/cdec_ff.cc
index c8cd8a66..fc64e5c4 100644
--- a/decoder/cdec_ff.cc
+++ b/decoder/cdec_ff.cc
@@ -8,19 +8,18 @@
 #include "ff_factory.h"
 #include "ff_ruleshape.h"
 #include "ff_bleu.h"
-//#include "ff_sample_fsa.h"
 #include "ff_lm_fsa.h"
+#include "ff_sample_fsa.h"
+
 boost::shared_ptr<FFRegistry> global_ff_registry;
 
 void register_feature_functions() {
   global_ff_registry->Register(new FFFactory<LanguageModel>);
   global_ff_registry->Register(new FFFactory<FeatureFunctionFromFsa<LanguageModelFsa> >); // same as LM but using fsa wrapper
 
-  /* // sample_fsa:
   global_ff_registry->Register(new FFFactory<WordPenaltyFromFsa>); // same as WordPenalty, but implemented using ff_fsa
   global_ff_registry->Register(new FFFactory<FeatureFunctionFromFsa<LongerThanPrev> >);
   global_ff_registry->Register(new FFFactory<FeatureFunctionFromFsa<ShorterThanPrev> >);
-  */
 
   //TODO: use for all features the new Register which requires usage(...)
 #ifdef HAVE_RANDLM
diff --git a/decoder/ff_fsa.h b/decoder/ff_fsa.h
index 85d184ee..45837f2c 100755
--- a/decoder/ff_fsa.h
+++ b/decoder/ff_fsa.h
@@ -201,7 +201,7 @@ public:
   template <class Accum>
   inline void ScanAccum(SentenceMetadata const& smeta,const Hypergraph::Edge& edge,
                         WordID w,void const* state,void *next_state,Accum *a) const {
-    Add(d().Scan1Meta(smeta,edge,smeta,edge,w,state,next_state),a);
+    Add(d().Scan1Meta(smeta,edge,w,state,next_state),a);
   }
 
   // bounce back and forth between two state vars starting at cs, returning end state location.  if we required src=dest addr safe state updating, this concept wouldn't need to exist.
@@ -233,7 +233,7 @@ public:
   }
 
 
-
+  // note you'll still have to override ScanAccum
   // override this (and SCAN_PHRASE_ACCUM_OVERRIDE  ) if you want e.g. maximum possible order ngram scores with markov_order < n-1.  in the future SparseFeatureAccumulator will probably be the only option for type-erased FSA ffs.  you will be adding to accum, not setting
   template <class Accum>
   inline void ScanPhraseAccum(SentenceMetadata const& smeta,const Hypergraph::Edge& edge,
@@ -284,10 +284,14 @@ public:
   }
 
   template <class Accum>
-  inline void Add(Featval v,Accum *a) const { // for single-feat only
+  inline void Add(Featval v,Accum *a) const { // for single-feat only.  but will work for different accums
+    a->Add(fid_,v);
+  }
+  inline void Add(Featval v,SingleFeatureAccumulator *a) const {
     a->Add(v);
   }
 
+
   inline void set_feat(FeatureVector *features,Featval v) const {
     features->set_value(fid_,v);
   }
@@ -343,15 +347,31 @@ public:
     o<<state(st);
   }
   int markov_order() const { return 1; }
-  Featval ScanT1(WordID w,St const&,St &) const { return 0; }
-  inline void ScanT(SentenceMetadata const& smeta,const Hypergraph::Edge& edge,WordID w,St const& prev_st,St &new_st,FeatureVector *features) const {
-    features->maybe_add(d().fid_,d().ScanT1(w,prev_st,new_st));
+
+  // override this
+  Featval ScanT1S(WordID w,St const& /* from */ ,St & /* to */) const {
+    return 0;
+  }
+
+  // or this
+  Featval ScanT1(SentenceMetadata const& /* smeta */,const Hypergraph::Edge& /* edge */,WordID w,St const& from ,St & to) const {
+    return d().ScanT1S(w,from,to);
   }
-  inline void Scan(SentenceMetadata const& smeta,const Hypergraph::Edge& edge,WordID w,void const* st,void *next_state,FeatureVector *features) const {
+
+  // or this (most general)
+  template <class Accum>
+  inline void ScanT(SentenceMetadata const& smeta,const Hypergraph::Edge& edge,WordID w,St const& prev_st,St &new_st,Accum *a) const {
+    Add(d().ScanT1(smeta,edge,w,prev_st,new_st),a);
+  }
+
+  // note: you're on your own when it comes to Phrase overrides.  see FsaFeatureFunctionBase.  sorry.
+
+  template <class Accum>
+  inline void ScanAccum(SentenceMetadata const& smeta,const Hypergraph::Edge& edge,WordID w,void const* st,void *next_state,Accum *a) const {
     Impl const& im=d();
-    FSADBG(edge,"Scan "<<FD::Convert(im.fid_)<<" = "<<im.describe_features(*features)<<" "<<im.state(st)<<"->"<<TD::Convert(w)<<" ");
-    im.ScanT(smeta,edge,w,state(st),state(next_state),features);
-    FSADBG(edge,state(next_state)<<" = "<<im.describe_features(*features));
+    FSADBG(edge,"Scan "<<FD::Convert(im.fid_)<<" = "<<a->describe(im)<<" "<<im.state(st)<<"->"<<TD::Convert(w)<<" ");
+    im.ScanT(smeta,edge,w,state(st),state(next_state),a);
+    FSADBG(edge,state(next_state)<<" = "<<a->describe(im));
     FSADBGnl(edge);
   }
 
diff --git a/decoder/ff_lm_fsa.h b/decoder/ff_lm_fsa.h
index 3547d75b..c2c0972e 100755
--- a/decoder/ff_lm_fsa.h
+++ b/decoder/ff_lm_fsa.h
@@ -1,7 +1,7 @@
 #ifndef FF_LM_FSA_H
 #define FF_LM_FSA_H
 
-//FIXME: 3gram has differences in 4th decimal digit, compared to regular ff_lm.  this is USUALLY a bug (there's way more actual precision in there).  this was with #define LM_FSA_SHORTEN_CONTEXT 1
+//FIXME: 3gram has differences in 4th decimal digit, compared to regular ff_lm.  this is USUALLY a bug (there's way more actual precision in there).  this was with #define LM_FSA_SHORTEN_CONTEXT 1 and 0 (so it's not that)
 
 
 #define FSA_LM_DEBUG 0
@@ -84,7 +84,7 @@ struct LanguageModelFsa : public FsaFeatureFunctionBase<LanguageModelFsa> {
       WordID ctx[ngram_order_];
       state_copy(ctx,old_st);
       ctx[ctxlen_]=TD::none; // make this part of state?  wastes space but saves copies.
-      Featval p=pimpl_->WordProb(w,ctx);
+      Featval p=floored(pimpl_->WordProb(w,ctx));
 // states are sri contexts so are in reverse order (most recent word is first, then 1-back comes next, etc.).
       WordID *nst=(WordID *)new_st;
       nst[0]=w; // new most recent word
@@ -92,7 +92,7 @@ struct LanguageModelFsa : public FsaFeatureFunctionBase<LanguageModelFsa> {
 #if LM_FSA_SHORTEN_CONTEXT
       p+=pimpl_->ShortenContext(nst,ctxlen_);
 #endif
-      Add(floored(p),a);
+      Add(p,a);
     }
   }
 
diff --git a/decoder/ff_sample_fsa.h b/decoder/ff_sample_fsa.h
index fb44dade..a129806d 100755
--- a/decoder/ff_sample_fsa.h
+++ b/decoder/ff_sample_fsa.h
@@ -132,10 +132,9 @@ struct ShorterThanPrev : FsaTypedBase<int,ShorterThanPrev> {
     */
 
   // evil anti-google int & len out-param:
-  void ScanT(SentenceMetadata const& /* smeta */,const Hypergraph::Edge& /* edge */,WordID w,int prevlen,int &len,FeatureVector *features) const {
+  Featval ScanT1(SentenceMetadata const& /* smeta */,const Hypergraph::Edge& /* edge */,WordID w,int prevlen,int &len) const {
     len=wordlen(w);
-    if (len<prevlen)
-      features->add_value(fid_,1);
+    return (len<prevlen) ? 1 : 0;
   }
 
 };
-- 
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