Merge branch 'master' of https://github.com/redpony/cdec

10 files changed, 63 insertions, 38 deletions

diff --git a/klm/lm/builder/lmplz_main.cc b/klm/lm/builder/lmplz_main.cc
index 1e086dcc..c87abdb8 100644
--- a/klm/lm/builder/lmplz_main.cc
+++ b/klm/lm/builder/lmplz_main.cc
@@ -52,13 +52,14 @@ int main(int argc, char *argv[]) {
       std::cerr << 
         "Builds unpruned language models with modified Kneser-Ney smoothing.\n\n"
         "Please cite:\n"
-        "@inproceedings{kenlm,\n"
-        "author    = {Kenneth Heafield},\n"
-        "title     = {{KenLM}: Faster and Smaller Language Model Queries},\n"
-        "booktitle = {Proceedings of the Sixth Workshop on Statistical Machine Translation},\n"
-        "month     = {July}, year={2011},\n"
-        "address   = {Edinburgh, UK},\n"
-        "publisher = {Association for Computational Linguistics},\n"
+        "@inproceedings{Heafield-estimate,\n"
+        "  author = {Kenneth Heafield and Ivan Pouzyrevsky and Jonathan H. Clark and Philipp Koehn},\n"
+        "  title = {Scalable Modified {Kneser-Ney} Language Model Estimation},\n"
+        "  year = {2013},\n"
+        "  month = {8},\n"
+        "  booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics},\n"
+        "  address = {Sofia, Bulgaria},\n"
+        "  url = {http://kheafield.com/professional/edinburgh/estimate\\_paper.pdf},\n"
         "}\n\n"
         "Provide the corpus on stdin.  The ARPA file will be written to stdout.  Order of\n"
         "the model (-o) is the only mandatory option.  As this is an on-disk program,\n"
diff --git a/klm/lm/builder/ngram.hh b/klm/lm/builder/ngram.hh
index 2984ed0b..f5681516 100644
--- a/klm/lm/builder/ngram.hh
+++ b/klm/lm/builder/ngram.hh
@@ -53,7 +53,7 @@ class NGram {
     Payload &Value() { return *reinterpret_cast<Payload *>(end_); }
 
     uint64_t &Count() { return Value().count; }
-    const uint64_t Count() const { return Value().count; }
+    uint64_t Count() const { return Value().count; }
 
     std::size_t Order() const { return end_ - begin_; }
 
diff --git a/klm/lm/model.cc b/klm/lm/model.cc
index a40fd2fb..a26654a6 100644
--- a/klm/lm/model.cc
+++ b/klm/lm/model.cc
@@ -304,5 +304,26 @@ template class GenericModel<trie::TrieSearch<SeparatelyQuantize, trie::DontBhiks
 template class GenericModel<trie::TrieSearch<SeparatelyQuantize, trie::ArrayBhiksha>, SortedVocabulary>;
 
 } // namespace detail
+
+base::Model *LoadVirtual(const char *file_name, const Config &config, ModelType model_type) {
+  RecognizeBinary(file_name, model_type);
+  switch (model_type) {
+    case PROBING:
+      return new ProbingModel(file_name, config);
+    case REST_PROBING:
+      return new RestProbingModel(file_name, config);
+    case TRIE:
+      return new TrieModel(file_name, config);
+    case QUANT_TRIE:
+      return new QuantTrieModel(file_name, config);
+    case ARRAY_TRIE:
+      return new ArrayTrieModel(file_name, config);
+    case QUANT_ARRAY_TRIE:
+      return new QuantArrayTrieModel(file_name, config);
+    default:
+      UTIL_THROW(FormatLoadException, "Confused by model type " << model_type);
+  }
+}
+
 } // namespace ngram
 } // namespace lm
diff --git a/klm/lm/model.hh b/klm/lm/model.hh
index 13ff864e..60f55110 100644
--- a/klm/lm/model.hh
+++ b/klm/lm/model.hh
@@ -153,6 +153,11 @@ LM_NAME_MODEL(QuantArrayTrieModel, detail::GenericModel<trie::TrieSearch<Separat
 typedef ::lm::ngram::ProbingVocabulary Vocabulary;
 typedef ProbingModel Model;
 
+/* Autorecognize the file type, load, and return the virtual base class.  Don't
+ * use the virtual base class if you can avoid it.  Instead, use the above
+ * classes as template arguments to your own virtual feature function.*/
+base::Model *LoadVirtual(const char *file_name, const Config &config = Config(), ModelType if_arpa = PROBING);
+
 } // namespace ngram
 } // namespace lm
 
diff --git a/klm/lm/search_hashed.cc b/klm/lm/search_hashed.cc
index 2d6f15b2..62275d27 100644
--- a/klm/lm/search_hashed.cc
+++ b/klm/lm/search_hashed.cc
@@ -54,7 +54,7 @@ template <class Weights> class ActivateUnigram {
     Weights *modify_;
 };
 
-// Find the lower order entry, inserting blanks along the way as necessary.  
+// Find the lower order entry, inserting blanks along the way as necessary.
 template <class Value> void FindLower(
     const std::vector<uint64_t> &keys,
     typename Value::Weights &unigram,
@@ -64,7 +64,7 @@ template <class Value> void FindLower(
   typename Value::ProbingEntry entry;
   // Backoff will always be 0.0.  We'll get the probability and rest in another pass.
   entry.value.backoff = kNoExtensionBackoff;
-  // Go back and find the longest right-aligned entry, informing it that it extends left.  Normally this will match immediately, but sometimes SRI is dumb.  
+  // Go back and find the longest right-aligned entry, informing it that it extends left.  Normally this will match immediately, but sometimes SRI is dumb.
   for (int lower = keys.size() - 2; ; --lower) {
     if (lower == -1) {
       between.push_back(&unigram);
@@ -77,11 +77,11 @@ template <class Value> void FindLower(
   }
 }
 
-// Between usually has  single entry, the value to adjust.  But sometimes SRI stupidly pruned entries so it has unitialized blank values to be set here.  
+// Between usually has  single entry, the value to adjust.  But sometimes SRI stupidly pruned entries so it has unitialized blank values to be set here.
 template <class Added, class Build> void AdjustLower(
     const Added &added,
     const Build &build,
-    std::vector<typename Build::Value::Weights *> &between, 
+    std::vector<typename Build::Value::Weights *> &between,
     const unsigned int n,
     const std::vector<WordIndex> &vocab_ids,
     typename Build::Value::Weights *unigrams,
@@ -93,14 +93,14 @@ template <class Added, class Build> void AdjustLower(
   }
   typedef util::ProbingHashTable<typename Value::ProbingEntry, util::IdentityHash> Middle;
   float prob = -fabs(between.back()->prob);
-  // Order of the n-gram on which probabilities are based.  
+  // Order of the n-gram on which probabilities are based.
   unsigned char basis = n - between.size();
   assert(basis != 0);
   typename Build::Value::Weights **change = &between.back();
   // Skip the basis.
   --change;
   if (basis == 1) {
-    // Hallucinate a bigram based on a unigram's backoff and a unigram probability.  
+    // Hallucinate a bigram based on a unigram's backoff and a unigram probability.
     float &backoff = unigrams[vocab_ids[1]].backoff;
     SetExtension(backoff);
     prob += backoff;
@@ -128,14 +128,14 @@ template <class Added, class Build> void AdjustLower(
   typename std::vector<typename Value::Weights *>::const_iterator i(between.begin());
   build.MarkExtends(**i, added);
   const typename Value::Weights *longer = *i;
-  // Everything has probability but is not marked as extending.  
+  // Everything has probability but is not marked as extending.
   for (++i; i != between.end(); ++i) {
     build.MarkExtends(**i, *longer);
     longer = *i;
   }
 }
 
-// Continue marking lower entries even they know that they extend left.  This is used for upper/lower bounds.  
+// Continue marking lower entries even they know that they extend left.  This is used for upper/lower bounds.
 template <class Build> void MarkLower(
     const std::vector<uint64_t> &keys,
     const Build &build,
@@ -144,15 +144,15 @@ template <class Build> void MarkLower(
     int start_order,
     const typename Build::Value::Weights &longer) {
   if (start_order == 0) return;
-  typename util::ProbingHashTable<typename Build::Value::ProbingEntry, util::IdentityHash>::MutableIterator iter;
-  // Hopefully the compiler will realize that if MarkExtends always returns false, it can simplify this code.  
+  // Hopefully the compiler will realize that if MarkExtends always returns false, it can simplify this code.
   for (int even_lower = start_order - 2 /* index in middle */; ; --even_lower) {
     if (even_lower == -1) {
       build.MarkExtends(unigram, longer);
       return;
     }
-    middle[even_lower].UnsafeMutableFind(keys[even_lower], iter);
-    if (!build.MarkExtends(iter->value, longer)) return;
+    if (!build.MarkExtends(
+          middle[even_lower].UnsafeMutableMustFind(keys[even_lower])->value,
+          longer)) return;
   }
 }
 
@@ -168,7 +168,6 @@ template <class Build, class Activate, class Store> void ReadNGrams(
     Store &store,
     PositiveProbWarn &warn) {
   typedef typename Build::Value Value;
-  typedef util::ProbingHashTable<typename Value::ProbingEntry, util::IdentityHash> Middle;
   assert(n >= 2);
   ReadNGramHeader(f, n);
 
@@ -186,7 +185,7 @@ template <class Build, class Activate, class Store> void ReadNGrams(
     for (unsigned int h = 1; h < n - 1; ++h) {
       keys[h] = detail::CombineWordHash(keys[h-1], vocab_ids[h+1]);
     }
-    // Initially the sign bit is on, indicating it does not extend left.  Most already have this but there might +0.0.  
+    // Initially the sign bit is on, indicating it does not extend left.  Most already have this but there might +0.0.
     util::SetSign(entry.value.prob);
     entry.key = keys[n-2];
 
@@ -203,7 +202,7 @@ template <class Build, class Activate, class Store> void ReadNGrams(
 
 } // namespace
 namespace detail {
- 
+
 template <class Value> uint8_t *HashedSearch<Value>::SetupMemory(uint8_t *start, const std::vector<uint64_t> &counts, const Config &config) {
   std::size_t allocated = Unigram::Size(counts[0]);
   unigram_ = Unigram(start, counts[0], allocated);
diff --git a/klm/lm/search_hashed.hh b/klm/lm/search_hashed.hh
index 00595796..9d067bc2 100644
--- a/klm/lm/search_hashed.hh
+++ b/klm/lm/search_hashed.hh
@@ -71,7 +71,7 @@ template <class Value> class HashedSearch {
     static const bool kDifferentRest = Value::kDifferentRest;
     static const unsigned int kVersion = 0;
 
-    // TODO: move probing_multiplier here with next binary file format update.  
+    // TODO: move probing_multiplier here with next binary file format update.
     static void UpdateConfigFromBinary(int, const std::vector<uint64_t> &, Config &) {}
 
     static uint64_t Size(const std::vector<uint64_t> &counts, const Config &config) {
@@ -102,14 +102,9 @@ template <class Value> class HashedSearch {
       return ret;
     }
 
-#pragma GCC diagnostic ignored "-Wuninitialized"
     MiddlePointer Unpack(uint64_t extend_pointer, unsigned char extend_length, Node &node) const {
       node = extend_pointer;
-      typename Middle::ConstIterator found;
-      bool got = middle_[extend_length - 2].Find(extend_pointer, found);
-      assert(got);
-      (void)got;
-      return MiddlePointer(found->value);
+      return MiddlePointer(middle_[extend_length - 2].MustFind(extend_pointer)->value);
     }
 
     MiddlePointer LookupMiddle(unsigned char order_minus_2, WordIndex word, Node &node, bool &independent_left, uint64_t &extend_pointer) const {
@@ -126,14 +121,14 @@ template <class Value> class HashedSearch {
     }
 
     LongestPointer LookupLongest(WordIndex word, const Node &node) const {
-      // Sign bit is always on because longest n-grams do not extend left.  
+      // Sign bit is always on because longest n-grams do not extend left.
       typename Longest::ConstIterator found;
       if (!longest_.Find(CombineWordHash(node, word), found)) return LongestPointer();
       return LongestPointer(found->value.prob);
     }
 
-    // Generate a node without necessarily checking that it actually exists.  
-    // Optionally return false if it's know to not exist.  
+    // Generate a node without necessarily checking that it actually exists.
+    // Optionally return false if it's know to not exist.
     bool FastMakeNode(const WordIndex *begin, const WordIndex *end, Node &node) const {
       assert(begin != end);
       node = static_cast<Node>(*begin);
@@ -144,7 +139,7 @@ template <class Value> class HashedSearch {
     }
 
   private:
-    // Interpret config's rest cost build policy and pass the right template argument to ApplyBuild.  
+    // Interpret config's rest cost build policy and pass the right template argument to ApplyBuild.
     void DispatchBuild(util::FilePiece &f, const std::vector<uint64_t> &counts, const Config &config, const ProbingVocabulary &vocab, PositiveProbWarn &warn);
 
     template <class Build> void ApplyBuild(util::FilePiece &f, const std::vector<uint64_t> &counts, const ProbingVocabulary &vocab, PositiveProbWarn &warn, const Build &build);
@@ -153,7 +148,7 @@ template <class Value> class HashedSearch {
       public:
         Unigram() {}
 
-        Unigram(void *start, uint64_t count, std::size_t /*allocated*/) : 
+        Unigram(void *start, uint64_t count, std::size_t /*allocated*/) :
           unigram_(static_cast<typename Value::Weights*>(start))
 #ifdef DEBUG
          ,  count_(count)
diff --git a/klm/lm/search_trie.hh b/klm/lm/search_trie.hh
index 1264baf5..60be416b 100644
--- a/klm/lm/search_trie.hh
+++ b/klm/lm/search_trie.hh
@@ -41,7 +41,8 @@ template <class Quant, class Bhiksha> class TrieSearch {
     static void UpdateConfigFromBinary(int fd, const std::vector<uint64_t> &counts, Config &config) {
       Quant::UpdateConfigFromBinary(fd, counts, config);
       util::AdvanceOrThrow(fd, Quant::Size(counts.size(), config) + Unigram::Size(counts[0]));
-      Bhiksha::UpdateConfigFromBinary(fd, config);
+      // Currently the unigram pointers are not compresssed, so there will only be a header for order > 2.
+      if (counts.size() > 2) Bhiksha::UpdateConfigFromBinary(fd, config);
     }
 
     static uint64_t Size(const std::vector<uint64_t> &counts, const Config &config) {
diff --git a/klm/lm/state.hh b/klm/lm/state.hh
index d8e6c132..a6b9accb 100644
--- a/klm/lm/state.hh
+++ b/klm/lm/state.hh
@@ -91,7 +91,7 @@ inline uint64_t hash_value(const Left &left) {
 }
 
 struct ChartState {
-  bool operator==(const ChartState &other) {
+  bool operator==(const ChartState &other) const {
     return (right == other.right) && (left == other.left);
   }
 
diff --git a/klm/lm/virtual_interface.hh b/klm/lm/virtual_interface.hh
index 6a5a0196..17f064b2 100644
--- a/klm/lm/virtual_interface.hh
+++ b/klm/lm/virtual_interface.hh
@@ -6,6 +6,7 @@
 #include "util/string_piece.hh"
 
 #include <string>
+#include <string.h>
 
 namespace lm {
 namespace base {
@@ -119,7 +120,9 @@ class Model {
 
     size_t StateSize() const { return state_size_; }
     const void *BeginSentenceMemory() const { return begin_sentence_memory_; }
+    void BeginSentenceWrite(void *to) const { memcpy(to, begin_sentence_memory_, StateSize()); }
     const void *NullContextMemory() const { return null_context_memory_; }
+    void NullContextWrite(void *to) const { memcpy(to, null_context_memory_, StateSize()); }
 
     // Requires in_state != out_state
     virtual float Score(const void *in_state, const WordIndex new_word, void *out_state) const = 0;
diff --git a/klm/lm/vocab.hh b/klm/lm/vocab.hh
index 3902f117..226ae438 100644
--- a/klm/lm/vocab.hh
+++ b/klm/lm/vocab.hh
@@ -25,7 +25,7 @@ uint64_t HashForVocab(const char *str, std::size_t len);
 inline uint64_t HashForVocab(const StringPiece &str) {
   return HashForVocab(str.data(), str.length());
 }
-class ProbingVocabularyHeader;
+struct ProbingVocabularyHeader;
 } // namespace detail
 
 class WriteWordsWrapper : public EnumerateVocab {