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#include "search/edge_generator.hh"
#include "lm/left.hh"
#include "lm/model.hh"
#include "lm/partial.hh"
#include "search/context.hh"
#include "search/vertex.hh"
#include <numeric>
namespace search {
namespace {
template <class Model> void FastScore(const Context<Model> &context, Arity victim, Arity before_idx, Arity incomplete, const PartialVertex &previous_vertex, PartialEdge update) {
lm::ngram::ChartState *between = update.Between();
lm::ngram::ChartState *before = &between[before_idx], *after = &between[before_idx + 1];
float adjustment = 0.0;
const lm::ngram::ChartState &previous_reveal = previous_vertex.State();
const PartialVertex &update_nt = update.NT()[victim];
const lm::ngram::ChartState &update_reveal = update_nt.State();
if ((update_reveal.left.length > previous_reveal.left.length) || (update_reveal.left.full && !previous_reveal.left.full)) {
adjustment += lm::ngram::RevealAfter(context.LanguageModel(), before->left, before->right, update_reveal.left, previous_reveal.left.length);
}
if ((update_reveal.right.length > previous_reveal.right.length) || (update_nt.RightFull() && !previous_vertex.RightFull())) {
adjustment += lm::ngram::RevealBefore(context.LanguageModel(), update_reveal.right, previous_reveal.right.length, update_nt.RightFull(), after->left, after->right);
}
if (update_nt.Complete()) {
if (update_reveal.left.full) {
before->left.full = true;
} else {
assert(update_reveal.left.length == update_reveal.right.length);
adjustment += lm::ngram::Subsume(context.LanguageModel(), before->left, before->right, after->left, after->right, update_reveal.left.length);
}
before->right = after->right;
// Shift the others shifted one down, covering after.
for (lm::ngram::ChartState *cover = after; cover < between + incomplete; ++cover) {
*cover = *(cover + 1);
}
}
update.SetScore(update.GetScore() + adjustment * context.LMWeight());
}
} // namespace
template <class Model> PartialEdge EdgeGenerator::Pop(Context<Model> &context) {
assert(!generate_.empty());
PartialEdge top = generate_.top();
generate_.pop();
PartialVertex *const top_nt = top.NT();
const Arity arity = top.GetArity();
Arity victim = 0;
Arity victim_completed;
Arity incomplete;
unsigned char lowest_niceness = 255;
// Select victim or return if complete.
{
Arity completed = 0;
for (Arity i = 0; i != arity; ++i) {
if (top_nt[i].Complete()) {
++completed;
} else if (top_nt[i].Niceness() < lowest_niceness) {
lowest_niceness = top_nt[i].Niceness();
victim = i;
victim_completed = completed;
}
}
if (lowest_niceness == 255) {
return top;
}
incomplete = arity - completed;
}
PartialVertex old_value(top_nt[victim]);
PartialVertex alternate_changed;
if (top_nt[victim].Split(alternate_changed)) {
PartialEdge alternate(partial_edge_pool_, arity, incomplete + 1);
alternate.SetScore(top.GetScore() + alternate_changed.Bound() - old_value.Bound());
alternate.SetNote(top.GetNote());
alternate.SetRange(top.GetRange());
PartialVertex *alternate_nt = alternate.NT();
for (Arity i = 0; i < victim; ++i) alternate_nt[i] = top_nt[i];
alternate_nt[victim] = alternate_changed;
for (Arity i = victim + 1; i < arity; ++i) alternate_nt[i] = top_nt[i];
memcpy(alternate.Between(), top.Between(), sizeof(lm::ngram::ChartState) * (incomplete + 1));
// TODO: dedupe?
generate_.push(alternate);
}
#ifndef NDEBUG
Score before = top.GetScore();
#endif
// top is now the continuation.
FastScore(context, victim, victim - victim_completed, incomplete, old_value, top);
// TODO: dedupe?
generate_.push(top);
assert(lowest_niceness != 254 || top.GetScore() == before);
// Invalid indicates no new hypothesis generated.
return PartialEdge();
}
template PartialEdge EdgeGenerator::Pop(Context<lm::ngram::RestProbingModel> &context);
template PartialEdge EdgeGenerator::Pop(Context<lm::ngram::ProbingModel> &context);
template PartialEdge EdgeGenerator::Pop(Context<lm::ngram::TrieModel> &context);
template PartialEdge EdgeGenerator::Pop(Context<lm::ngram::QuantTrieModel> &context);
template PartialEdge EdgeGenerator::Pop(Context<lm::ngram::ArrayTrieModel> &context);
template PartialEdge EdgeGenerator::Pop(Context<lm::ngram::QuantArrayTrieModel> &context);
} // namespace search
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