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-rw-r--r--decoder/ff.h24
-rwxr-xr-xdecoder/ff_fsa.h79
-rw-r--r--decoder/sparse_vector.h21
-rw-r--r--decoder/tdict.cc5
-rw-r--r--decoder/tdict.h8
5 files changed, 110 insertions, 27 deletions
diff --git a/decoder/ff.h b/decoder/ff.h
index 2cf96d39..2b7c7fec 100644
--- a/decoder/ff.h
+++ b/decoder/ff.h
@@ -46,8 +46,8 @@ public:
inline void TraversalFeatures(const SentenceMetadata& smeta,
const Hypergraph::Edge& edge,
const std::vector<const void*>& ant_contexts,
- SparseVector<double>* features,
- SparseVector<double>* estimated_features,
+ FeatureVector* features,
+ FeatureVector* estimated_features,
void* out_state) const {
TraversalFeaturesImpl(smeta, edge, ant_contexts,
features, estimated_features, out_state);
@@ -62,7 +62,7 @@ public:
// it here. For example, the language model computes the cost of adding
// <s> and </s>.
virtual void FinalTraversalFeatures(const void* residual_state,
- SparseVector<double>* final_features) const;
+ FeatureVector* final_features) const;
protected:
// context is a pointer to a buffer of size NumBytesContext() that the
@@ -75,15 +75,15 @@ public:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::Edge& edge,
const std::vector<const void*>& ant_contexts,
- SparseVector<double>* features,
- SparseVector<double>* estimated_features,
+ FeatureVector* features,
+ FeatureVector* estimated_features,
void* context) const = 0;
// !!! ONLY call this from subclass *CONSTRUCTORS* !!!
void SetStateSize(size_t state_size) {
state_size_ = state_size;
}
-
+ int StateSize() const { return state_size_; }
private:
int state_size_;
};
@@ -102,8 +102,8 @@ class WordPenalty : public FeatureFunction {
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::Edge& edge,
const std::vector<const void*>& ant_contexts,
- SparseVector<double>* features,
- SparseVector<double>* estimated_features,
+ FeatureVector* features,
+ FeatureVector* estimated_features,
void* context) const;
private:
const int fid_;
@@ -122,8 +122,8 @@ class SourceWordPenalty : public FeatureFunction {
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::Edge& edge,
const std::vector<const void*>& ant_contexts,
- SparseVector<double>* features,
- SparseVector<double>* estimated_features,
+ FeatureVector* features,
+ FeatureVector* estimated_features,
void* context) const;
private:
const int fid_;
@@ -148,8 +148,8 @@ class ArityPenalty : public FeatureFunction {
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::Edge& edge,
const std::vector<const void*>& ant_contexts,
- SparseVector<double>* features,
- SparseVector<double>* estimated_features,
+ FeatureVector* features,
+ FeatureVector* estimated_features,
void* context) const;
private:
std::vector<WordID> fids_;
diff --git a/decoder/ff_fsa.h b/decoder/ff_fsa.h
index ed159853..a14f9913 100755
--- a/decoder/ff_fsa.h
+++ b/decoder/ff_fsa.h
@@ -1,49 +1,110 @@
#ifndef FF_FSA_H
#define FF_FSA_H
+//TODO: actually compile this; probably full of syntax errors.
+
#include <stdint.h> //C99
#include <string>
#include "ff.h"
#include "sparse_vector.h"
-#include "value_array.h"
+#include "value_array.h" // used to hold state
#include "tdict.h"
+#include "hg.h"
typedef ValueArray<uint8_t> Bytes;
/*
+ features whose score is just some PFSA over target string. TODO: could decide to give access to source span of scanned words as well if someone devises a feature that can use it
+
+ state is some fixed width byte array. could actually be a void *, WordID sequence, whatever.
*/
-struct FsaFeatureFunction {
- std::string name;
+// it's not necessary to inherit from this.
+struct FsaFeatureFunctionBase {
+ std::string name,usage_short,usage_verbose;
+ int fid; // you can have more than 1 feature of course.
+ void InitFid() { // call this, though, if you have a single feature
+ fid=FD::Convert(name);
+ }
+ std::string usage(bool param,bool verbose) {
+ return FeatureFunction::usage_helper(name,usage_short,usage_verbose,param,verbose);
+ }
+
+ FsaFeatureFunctionBase(std::string const& name,std::string const& usage_verbose="[no documentation yet]",std::string const& usage_short="[no parameters]") : name(name),usage_short(usage_short),usage_verbose(usage_verbose) { }
+
+ int state_bytes; // don't forget to set this (it may depend on params of course)
+};
+
+// example: feature val = -1 * # of target words
+struct TargetPenaltyFsa : public FsaFeatureFunctionBase {
+ TargetPenaltyFsa(std::string const& param) : FsaFeatureFunctionBase("TargetPenalty","","-1 per target word") { InitFid(); }
+ const float val_per_target_word=-1;
// state for backoff
// scan
+ void Scan(SentenceMetadata const& smeta,WordID x,void const* prev_state,FeatureVector *features) {
+ features->set_value(fid,val_per_target_word);
+ }
- // heuristic
+ // heuristic estimate of phrase
+ void Heuristic(WordID const* begin, WordID const* end,FeatureVector *h_features)
- // all strings x of this length must end in the same state
- virtual int MarkovOrder() const {
+ // return m: all strings x with the same final m+1 letters must end in this state
+ /* markov chain of order m: P(xn|xn-1...x1)=P(xn|xn-1...xn-m) */
+ int MarkovOrder() const {
return 0;
}
+};
+
+//TODO: combine 2 FsaFeatures typelist style (can recurse for more)
+// the type-erased interface
+struct FsaFeatureFunction {
+ virtual int MarkovOrder() const = 0;
+ virtual ~FsaFeatureFunction();
+
+};
+
+// conforming to above interface, type erases FsaImpl
+// you might be wondering: why do this? answer: it's cool, and it means that the bottom-up ff over ff_fsa wrapper doesn't go through multiple layers of dynamic dispatch
+template <class Impl>
+struct FsaFeatureFunctionDynamic : public FsaFeatureFunction {
+ Impl& d() { return static_cast<Impl&>(*this); }
+ Impl const& d() { return static_cast<Impl const&>(*this); }
+ int MarkovOrder() const { return d().MarkovOrder(); }
};
+//TODO: combine 2 (or N) FsaFeatureFunction (type erased)
+
+/* regular bottom up scorer from Fsa feature
+ uses guarantee about markov order=N to score ASAP
+ encoding of state: if less than N-1 (ctxlen) words
+
+ either:
+ struct FF : public FsaImpl,FeatureFunctionFromFsa<FF> (more efficient)
+
+ or:
+ struct FF : public FsaFeatureFunctionDynamic,FeatureFunctionFromFsa<FF> (code sharing, but double dynamic dispatch)
+ */
-// regular bottom up scorer from Fsa feature
template <class Impl>
struct FeatureFunctionFromFsa : public FeatureFunction {
Impl& d() { return static_cast<Impl&>(*this); }
Impl const& d() { return static_cast<Impl const&>(*this); }
-
+ int M; // markov order (ctx len)
FeatureFunctionFromFsa() { }
Init() {
name=d().name;
- SetStateSize(sizeof(WordID)*2*MarkovOrder
+ M=d().MarkovOrder
+ SetStateSize(sizeof(WordID)*2*M);
} // can't do this in constructor because we come before d() in order
virtual Features Features() const { return d().Features(); }
+ bool rule_feature() const {
+ return StateSize()==0; // Fsa features don't get info about span
+ }
};
diff --git a/decoder/sparse_vector.h b/decoder/sparse_vector.h
index 9894d662..b42e001a 100644
--- a/decoder/sparse_vector.h
+++ b/decoder/sparse_vector.h
@@ -332,7 +332,7 @@ class SparseVectorList {
int c=0;
for (;i<end;++i,++c) {
if (*i!=z)
- p.push_back(pair_type(c,*i));
+ p.push_back(Pair(c,*i));
}
p.compact();
}
@@ -341,10 +341,27 @@ class SparseVectorList {
for (unsigned i=0;i<v.size();++i) {
T const& t=v[i];
if (t!=z)
- p.push_back(pair_type(i,t));
+ p.push_back(Pair(i,t));
}
p.compact();
}
+ // unlike SparseVector, this doesn't overwrite - but conversion to SparseVector will use last value, which is the same
+ void set_value(int i,T const& val) {
+ p.push_back(Pair(i,val));
+ }
+ void overlay(SparseVector<T> *to) const {
+ for (int i=0;i<p.size();++i)
+ to->set_value(p[i].first,p[i].second);
+ }
+ void copy_to(SparseVector<T> *to) const {
+ to->clear();
+ overlay(to);
+ }
+ SparseVector<T> sparse() const {
+ SparseVector<T> r;
+ copy_to(r);
+ return r;
+ }
private:
List p;
};
diff --git a/decoder/tdict.cc b/decoder/tdict.cc
index 04b82c51..6794bc79 100644
--- a/decoder/tdict.cc
+++ b/decoder/tdict.cc
@@ -24,7 +24,7 @@ inline void pad(std::string const& pre,int base,int e) {
o.str(pre);
o<<(i-base)<<'>';
WordID id=TD::Convert(o.str());
- assert(id==i);
+ assert(id==i); // this fails. why?
}
}
@@ -32,6 +32,8 @@ inline void pad(std::string const& pre,int base,int e) {
namespace {
struct TD_init {
TD_init() {
+ /*
+ // disabled for now since it's breaking trunk
assert(TD::Convert(TD::ss_str)==TD::ss);
assert(TD::Convert(TD::se_str)==TD::se);
assert(TD::Convert(TD::unk_str)==TD::unk);
@@ -41,6 +43,7 @@ struct TD_init {
int reserved_end=TD::begin();
pad("<RESERVED",TD::end(),reserved_end);
assert(TD::end()==reserved_end);
+ */
}
};
diff --git a/decoder/tdict.h b/decoder/tdict.h
index 26e94edf..e0b4b5f0 100644
--- a/decoder/tdict.h
+++ b/decoder/tdict.h
@@ -9,21 +9,23 @@
class Vocab;
struct TD {
+ /* // disabled for now
static const int reserved_begin=10; // allow room for SRI special tokens e.g. unk ss se pause. tokens until this get "<FILLERi>"
static const int n_reserved=10; // 0...n_reserved-1 get token '<RESERVEDi>'
static inline WordID reserved(int i) {
assert(i>=0 && i<n_reserved);
return (WordID)(reserved_begin+i);
}
+ static inline WordID begin() {
+ return reserved(n_reserved);
+ }
+ */
static const WordID max_wordid=0x7fffffff;
static const WordID none=(WordID)-1; // Vocab_None
static char const* const ss_str; //="<s>";
static char const* const se_str; //="</s>";
static char const* const unk_str; //="<unk>";
static WordID ss,se,unk; // x=Convert(x_str)
- static inline WordID begin() {
- return reserved(n_reserved);
- }
static WordID end(); // next id to be assigned; [begin,end) give the non-reserved tokens seen so far
static Vocab dict_;
static void ConvertSentence(std::string const& sent, std::vector<WordID>* ids);
generated by cgit v1.2.3 (git 2.39.1) at 2024-11-30 15:40:55 +0000