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-rw-r--r--decoder/decoder.cc14
-rw-r--r--decoder/ff.cc4
-rw-r--r--decoder/hg.h180
-rw-r--r--decoder/hg_io.cc4
-rw-r--r--utils/weights.cc8
5 files changed, 83 insertions, 127 deletions
diff --git a/decoder/decoder.cc b/decoder/decoder.cc
index a69a6d05..47b298b9 100644
--- a/decoder/decoder.cc
+++ b/decoder/decoder.cc
@@ -871,13 +871,13 @@ bool DecoderImpl::Decode(const string& input, DecoderObserver* o) {
if (rp.fid_summary) {
if (summary_feature_type == kEDGE_PROB) {
const prob_t z = forest.PushWeightsToGoal(1.0);
- if (!isfinite(log(z)) || isnan(log(z))) {
+ if (!std::isfinite(log(z)) || std::isnan(log(z))) {
cerr << " " << passtr << " !!! Invalid partition detected, abandoning.\n";
} else {
for (int i = 0; i < forest.edges_.size(); ++i) {
const double log_prob_transition = log(forest.edges_[i].edge_prob_); // locally normalized by the edge
// head node by forest.PushWeightsToGoal
- if (!isfinite(log_prob_transition) || isnan(log_prob_transition)) {
+ if (!std::isfinite(log_prob_transition) || std::isnan(log_prob_transition)) {
cerr << "Edge: i=" << i << " got bad inside prob: " << *forest.edges_[i].rule_ << endl;
abort();
}
@@ -889,7 +889,7 @@ bool DecoderImpl::Decode(const string& input, DecoderObserver* o) {
} else if (summary_feature_type == kNODE_RISK) {
Hypergraph::EdgeProbs posts;
const prob_t z = forest.ComputeEdgePosteriors(1.0, &posts);
- if (!isfinite(log(z)) || isnan(log(z))) {
+ if (!std::isfinite(log(z)) || std::isnan(log(z))) {
cerr << " " << passtr << " !!! Invalid partition detected, abandoning.\n";
} else {
for (int i = 0; i < forest.nodes_.size(); ++i) {
@@ -898,7 +898,7 @@ bool DecoderImpl::Decode(const string& input, DecoderObserver* o) {
for (int j = 0; j < in_edges.size(); ++j)
node_post += (posts[in_edges[j]] / z);
const double log_np = log(node_post);
- if (!isfinite(log_np) || isnan(log_np)) {
+ if (!std::isfinite(log_np) || std::isnan(log_np)) {
cerr << "got bad posterior prob for node " << i << endl;
abort();
}
@@ -913,13 +913,13 @@ bool DecoderImpl::Decode(const string& input, DecoderObserver* o) {
} else if (summary_feature_type == kEDGE_RISK) {
Hypergraph::EdgeProbs posts;
const prob_t z = forest.ComputeEdgePosteriors(1.0, &posts);
- if (!isfinite(log(z)) || isnan(log(z))) {
+ if (!std::isfinite(log(z)) || std::isnan(log(z))) {
cerr << " " << passtr << " !!! Invalid partition detected, abandoning.\n";
} else {
assert(posts.size() == forest.edges_.size());
for (int i = 0; i < posts.size(); ++i) {
const double log_np = log(posts[i] / z);
- if (!isfinite(log_np) || isnan(log_np)) {
+ if (!std::isfinite(log_np) || std::isnan(log_np)) {
cerr << "got bad posterior prob for node " << i << endl;
abort();
}
@@ -1090,7 +1090,7 @@ bool DecoderImpl::Decode(const string& input, DecoderObserver* o) {
cerr << "DIFF. ERR! log_z < log_ref_z: " << log_z << " " << log_ref_z << endl;
exit(1);
}
- assert(!isnan(log_ref_z));
+ assert(!std::isnan(log_ref_z));
ref_exp -= full_exp;
acc_vec += ref_exp;
acc_obj += (log_z - log_ref_z);
diff --git a/decoder/ff.cc b/decoder/ff.cc
index 557e0b5f..008fcad4 100644
--- a/decoder/ff.cc
+++ b/decoder/ff.cc
@@ -175,7 +175,7 @@ void ModelSet::AddFeaturesToEdge(const SentenceMetadata& smeta,
Hypergraph::Edge* edge,
FFState* context,
prob_t* combination_cost_estimate) const {
- edge->reset_info();
+ //edge->reset_info();
context->resize(state_size_);
if (state_size_ > 0) {
memset(&(*context)[0], 0, state_size_);
@@ -203,7 +203,7 @@ void ModelSet::AddFeaturesToEdge(const SentenceMetadata& smeta,
void ModelSet::AddFinalFeatures(const FFState& state, Hypergraph::Edge* edge,SentenceMetadata const& smeta) const {
assert(1 == edge->rule_->Arity());
- edge->reset_info();
+ //edge->reset_info();
for (int i = 0; i < models_.size(); ++i) {
const FeatureFunction& ff = *models_[i];
const void* ant_state = NULL;
diff --git a/decoder/hg.h b/decoder/hg.h
index 6d67f2fa..f53d2fd2 100644
--- a/decoder/hg.h
+++ b/decoder/hg.h
@@ -33,47 +33,20 @@
// slow
#undef HG_EDGES_TOPO_SORTED
-class Hypergraph;
-typedef boost::shared_ptr<Hypergraph> HypergraphP;
-
-// class representing an acyclic hypergraph
-// - edges have 1 head, 0..n tails
-class Hypergraph {
-public:
- Hypergraph() : is_linear_chain_(false) {}
+// SmallVector is a fast, small vector<int> implementation for sizes <= 2
+typedef SmallVectorUnsigned TailNodeVector; // indices in nodes_
+typedef std::vector<int> EdgesVector; // indices in edges_
- // SmallVector is a fast, small vector<int> implementation for sizes <= 2
- typedef SmallVectorUnsigned TailNodeVector; // indices in nodes_
- typedef std::vector<int> EdgesVector; // indices in edges_
-
- // TODO get rid of cat_?
- // TODO keep cat_ and add span and/or state? :)
- struct Node {
- Node() : id_(), cat_() {}
- int id_; // equal to this object's position in the nodes_ vector
- WordID cat_; // non-terminal category if <0, 0 if not set
- WordID NT() const { return -cat_; }
- EdgesVector in_edges_; // an in edge is an edge with this node as its head. (in edges come from the bottom up to us) indices in edges_
- EdgesVector out_edges_; // an out edge is an edge with this node as its tail. (out edges leave us up toward the top/goal). indices in edges_
- void copy_fixed(Node const& o) { // nonstructural fields only - structural ones are managed by sorting/pruning/subsetting
- cat_=o.cat_;
- }
- void copy_reindex(Node const& o,indices_after const& n2,indices_after const& e2) {
- copy_fixed(o);
- id_=n2[id_];
- e2.reindex_push_back(o.in_edges_,in_edges_);
- e2.reindex_push_back(o.out_edges_,out_edges_);
- }
- };
+enum {
+ NONE=0,CATEGORY=1,SPAN=2,PROB=4,FEATURES=8,RULE=16,RULE_LHS=32,PREV_SPAN=64,ALL=0xFFFFFFFF
+};
+namespace HG {
- // TODO get rid of edge_prob_? (can be computed on the fly as the dot
- // product of the weight vector and the feature values)
struct Edge {
-// int poplimit; //TODO: cube pruning per edge limit? per node didn't work well at all. also, inside cost + outside(node) is the same information i'd use to set a per-edge limit anyway - and nonmonotonicity in cube pruning may mean it's good to favor edge (in same node) w/ relatively worse score
Edge() : i_(-1), j_(-1), prev_i_(-1), prev_j_(-1) {}
Edge(int id,Edge const& copy_pod_from) : id_(id) { copy_pod(copy_pod_from); } // call copy_features yourself later.
- Edge(int id,Edge const& copy_from,TailNodeVector const& tail) // fully inits - probably more expensive when push_back(Edge(...)) than setting after
+ Edge(int id,Edge const& copy_from,TailNodeVector const& tail) // fully inits - probably more expensive when push_back(Edge(...)) than sett
: tail_nodes_(tail),id_(id) { copy_pod(copy_from);copy_features(copy_from); }
inline int Arity() const { return tail_nodes_.size(); }
int head_node_; // refers to a position in nodes_
@@ -83,8 +56,6 @@ public:
prob_t edge_prob_; // dot product of weights and feat_values
int id_; // equal to this object's position in the edges_ vector
- //FIXME: these span ids belong in Node, not Edge, right? every node should have the same spans.
-
// span info. typically, i_ and j_ refer to indices in the source sentence.
// In synchronous parsing, i_ and j_ will refer to target sentence/lattice indices
// while prev_i_ prev_j_ will refer to positions in the source.
@@ -97,54 +68,6 @@ public:
short int j_;
short int prev_i_;
short int prev_j_;
-
- void copy_info(Edge const& o) {
-#if USE_INFO_EDGE
- set_info(o.info_.str()); // by convention, each person putting info here starts with a separator (e.g. space). it's empty if nobody put any info there.
-#else
- (void) o;
-#endif
- }
- void copy_pod(Edge const& o) {
- rule_=o.rule_;
- i_ = o.i_; j_ = o.j_; prev_i_ = o.prev_i_; prev_j_ = o.prev_j_;
- }
- void copy_features(Edge const& o) {
- feature_values_=o.feature_values_;
- copy_info(o);
- }
- void copy_fixed(Edge const& o) {
- copy_pod(o);
- copy_features(o);
- edge_prob_ = o.edge_prob_;
- }
- void copy_reindex(Edge const& o,indices_after const& n2,indices_after const& e2) {
- copy_fixed(o);
- head_node_=n2[o.head_node_];
- id_=e2[o.id_];
- n2.reindex_push_back(o.tail_nodes_,tail_nodes_);
- }
-
-#if USE_INFO_EDGE
- std::ostringstream info_;
- void set_info(std::string const& s) {
- info_.str(s);
- info_.seekp(0,std::ios_base::end);
- }
- Edge(Edge const& o) : head_node_(o.head_node_),tail_nodes_(o.tail_nodes_),rule_(o.rule_),feature_values_(o.feature_values_),edge_prob_(o.edge_prob_),id_(o.id_),i_(o.i_),j_(o.j_),prev_i_(o.prev_i_),prev_j_(o.prev_j_), info_(o.info_.str(),std::ios_base::ate) {
-// info_.seekp(0,std::ios_base::end);
- }
- void operator=(Edge const& o) {
- head_node_ = o.head_node_; tail_nodes_ = o.tail_nodes_; rule_ = o.rule_; feature_values_ = o.feature_values_; edge_prob_ = o.edge_prob_; id_ = o.id_; i_ = o.i_; j_ = o.j_; prev_i_ = o.prev_i_; prev_j_ = o.prev_j_;
- set_info(o.info_.str());
- }
- std::string info() const { return info_.str(); }
- void reset_info() { info_.str(""); info_.clear(); }
-#else
- std::string info() const { return std::string(); }
- void reset_info() { }
- void set_info(std::string const& ) { }
-#endif
void show(std::ostream &o,unsigned mask=SPAN|RULE) const {
o<<'{';
if (mask&CATEGORY)
@@ -159,10 +82,6 @@ public:
o<<' '<<feature_values_;
if (mask&RULE)
o<<' '<<rule_->AsString(mask&RULE_LHS);
- if (USE_INFO_EDGE) {
- std::string const& i=info();
- if (mask&&!i.empty()) o << " |||"<<i; // remember, the initial space is expected as part of i
- }
o<<'}';
}
std::string show(unsigned mask=SPAN|RULE) const {
@@ -170,12 +89,28 @@ public:
show(o,mask);
return o.str();
}
- /* generic recursion re: child_handle=re(tail_nodes_[i],i,parent_handle)
-
- FIXME: make kbest create a simple derivation-tree structure (could be a
- hg), and replace the list-of-edges viterbi.h with a tree-structured one.
- CreateViterbiHypergraph can do for 1best, though.
- */
+ void copy_pod(Edge const& o) {
+ rule_=o.rule_;
+ i_ = o.i_; j_ = o.j_; prev_i_ = o.prev_i_; prev_j_ = o.prev_j_;
+ }
+ void copy_features(Edge const& o) {
+ feature_values_=o.feature_values_;
+ }
+ void copy_fixed(Edge const& o) {
+ copy_pod(o);
+ copy_features(o);
+ edge_prob_ = o.edge_prob_;
+ }
+ void copy_reindex(Edge const& o,indices_after const& n2,indices_after const& e2) {
+ copy_fixed(o);
+ head_node_=n2[o.head_node_];
+ id_=e2[o.id_];
+ n2.reindex_push_back(o.tail_nodes_,tail_nodes_);
+ }
+ // generic recursion re: child_handle=re(tail_nodes_[i],i,parent_handle)
+ // FIXME: make kbest create a simple derivation-tree structure (could be a
+ // hg), and replace the list-of-edges viterbi.h with a tree-structured one.
+ // CreateViterbiHypergraph can do for 1best, though.
template <class EdgeRecurse,class TEdgeHandle>
std::string derivation_tree(EdgeRecurse const& re,TEdgeHandle const& eh,bool indent=true,int show_mask=SPAN|RULE,int maxdepth=0x7FFFFFFF,int depth=0) const {
std::ostringstream o;
@@ -203,7 +138,43 @@ public:
}
};
- // all this info ought to live in Node, but for some reason it's on Edges.
+ // TODO get rid of cat_?
+ // TODO keep cat_ and add span and/or state? :)
+ struct Node {
+ Node() : id_(), cat_() {}
+ int id_; // equal to this object's position in the nodes_ vector
+ WordID cat_; // non-terminal category if <0, 0 if not set
+ WordID NT() const { return -cat_; }
+ EdgesVector in_edges_; // an in edge is an edge with this node as its head. (in edges come from the bottom up to us) indices in edges_
+ EdgesVector out_edges_; // an out edge is an edge with this node as its tail. (out edges leave us up toward the top/goal). indices in edges_
+ void copy_fixed(Node const& o) { // nonstructural fields only - structural ones are managed by sorting/pruning/subsetting
+ cat_=o.cat_;
+ }
+ void copy_reindex(Node const& o,indices_after const& n2,indices_after const& e2) {
+ copy_fixed(o);
+ id_=n2[id_];
+ e2.reindex_push_back(o.in_edges_,in_edges_);
+ e2.reindex_push_back(o.out_edges_,out_edges_);
+ }
+ };
+
+} // namespace HG
+
+class Hypergraph;
+typedef boost::shared_ptr<Hypergraph> HypergraphP;
+// class representing an acyclic hypergraph
+// - edges have 1 head, 0..n tails
+class Hypergraph {
+public:
+ Hypergraph() : is_linear_chain_(false) {}
+ typedef HG::Node Node;
+ typedef HG::Edge Edge;
+ typedef SmallVectorUnsigned TailNodeVector; // indices in nodes_
+ typedef std::vector<int> EdgesVector; // indices in edges_
+ enum {
+ NONE=0,CATEGORY=1,SPAN=2,PROB=4,FEATURES=8,RULE=16,RULE_LHS=32,PREV_SPAN=64,ALL=0xFFFFFFFF
+ };
+
// except for stateful models that have split nt,span, this should identify the node
void SetNodeOrigin(int nodeid,NTSpan &r) const {
Node const &n=nodes_[nodeid];
@@ -230,18 +201,9 @@ public:
}
return s;
}
- // 0 if none, -TD index otherwise (just like in rule)
WordID NodeLHS(int nodeid) const {
Node const &n=nodes_[nodeid];
return n.NT();
- /*
- if (!n.in_edges_.empty()) {
- Edge const& e=edges_[n.in_edges_.front()];
- if (e.rule_)
- return -e.rule_->lhs_;
- }
- return 0;
- */
}
typedef std::vector<prob_t> EdgeProbs;
@@ -250,14 +212,8 @@ public:
typedef std::vector<bool> NodeMask;
std::string show_viterbi_tree(bool indent=true,int show_mask=SPAN|RULE,int maxdepth=0x7FFFFFFF,int depth=0) const;
-// builds viterbi hg and returns it formatted as a pretty string
-
- enum {
- NONE=0,CATEGORY=1,SPAN=2,PROB=4,FEATURES=8,RULE=16,RULE_LHS=32,PREV_SPAN=64,ALL=0xFFFFFFFF
- };
std::string show_first_tree(bool indent=true,int show_mask=SPAN|RULE,int maxdepth=0x7FFFFFFF,int depth=0) const;
- // same as above, but takes in_edges_[0] all the way down - to make it viterbi cost (1-best), call ViterbiSortInEdges() first
typedef Edge const* EdgeHandle;
EdgeHandle operator()(int tailn,int /*taili*/,EdgeHandle /*parent*/) const {
@@ -334,7 +290,7 @@ public:
Edge* AddEdge(Edge const& in_edge, const TailNodeVector& tail) {
edges_.push_back(Edge(edges_.size(),in_edge));
Edge* edge = &edges_.back();
- edge->copy_features(in_edge);
+ edge->feature_values_ = in_edge.feature_values_;
edge->tail_nodes_ = tail; // possibly faster than copying to Edge() constructed above then copying via push_back. perhaps optimized it's the same.
index_tails(*edge);
return edge;
diff --git a/decoder/hg_io.cc b/decoder/hg_io.cc
index 3a68a429..8f604c89 100644
--- a/decoder/hg_io.cc
+++ b/decoder/hg_io.cc
@@ -392,8 +392,8 @@ string HypergraphIO::AsPLF(const Hypergraph& hg, bool include_global_parentheses
const Hypergraph::Edge& e = hg.edges_[hg.nodes_[i].out_edges_[j]];
const string output = e.rule_->e_.size() ==2 ? Escape(TD::Convert(e.rule_->e_[1])) : EPS;
double prob = log(e.edge_prob_);
- if (isinf(prob)) { prob = -9e20; }
- if (isnan(prob)) { prob = 0; }
+ if (std::isinf(prob)) { prob = -9e20; }
+ if (std::isnan(prob)) { prob = 0; }
os << "('" << output << "'," << prob << "," << e.head_node_ - i << "),";
}
os << "),";
diff --git a/utils/weights.cc b/utils/weights.cc
index f56e2a20..575877b6 100644
--- a/utils/weights.cc
+++ b/utils/weights.cc
@@ -34,7 +34,7 @@ void Weights::InitFromFile(const string& filename,
int weight_count = 0;
bool fl = false;
string buf;
- weight_t val = 0;
+ double val = 0;
while (in) {
getline(in, buf);
if (buf.size() == 0) continue;
@@ -53,7 +53,7 @@ void Weights::InitFromFile(const string& filename,
if (feature_list) { feature_list->push_back(buf.substr(start, end - start)); }
while(end < buf.size() && buf[end] == ' ') ++end;
val = strtod(&buf.c_str()[end], NULL);
- if (isnan(val)) {
+ if (std::isnan(val)) {
cerr << FD::Convert(fid) << " has weight NaN!\n";
abort();
}
@@ -127,8 +127,8 @@ void Weights::InitSparseVector(const vector<weight_t>& dv,
void Weights::SanityCheck(const vector<weight_t>& w) {
for (unsigned i = 0; i < w.size(); ++i) {
- assert(!isnan(w[i]));
- assert(!isinf(w[i]));
+ assert(!std::isnan(w[i]));
+ assert(!std::isinf(w[i]));
}
}
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