merge with upstream

1 files changed, 103 insertions, 0 deletions

diff --git a/klm/lm/ngram_query.hh b/klm/lm/ngram_query.hh
new file mode 100644
index 00000000..4990df22
--- /dev/null
+++ b/klm/lm/ngram_query.hh
@@ -0,0 +1,103 @@
+#ifndef LM_NGRAM_QUERY__
+#define LM_NGRAM_QUERY__
+
+#include "lm/enumerate_vocab.hh"
+#include "lm/model.hh"
+
+#include <cstdlib>
+#include <fstream>
+#include <iostream>
+#include <string>
+
+#include <ctype.h>
+#if !defined(_WIN32) && !defined(_WIN64)
+#include <sys/resource.h>
+#include <sys/time.h>
+#endif
+
+namespace lm {
+namespace ngram {
+
+#if !defined(_WIN32) && !defined(_WIN64)
+float FloatSec(const struct timeval &tv) {
+  return static_cast<float>(tv.tv_sec) + (static_cast<float>(tv.tv_usec) / 1000000000.0);
+}
+#endif
+
+void PrintUsage(const char *message) {
+#if !defined(_WIN32) && !defined(_WIN64)
+  struct rusage usage;
+  if (getrusage(RUSAGE_SELF, &usage)) {
+    perror("getrusage");
+    return;
+  }
+  std::cerr << message;
+  std::cerr << "user\t" << FloatSec(usage.ru_utime) << "\nsys\t" << FloatSec(usage.ru_stime) << '\n';
+
+  // Linux doesn't set memory usage :-(.  
+  std::ifstream status("/proc/self/status", std::ios::in);
+  std::string line;
+  while (getline(status, line)) {
+    if (!strncmp(line.c_str(), "VmRSS:\t", 7)) {
+      std::cerr << "rss " << (line.c_str() + 7) << '\n';
+      break;
+    }
+  }
+#endif
+}
+
+template <class Model> void Query(const Model &model, bool sentence_context, std::istream &in_stream, std::ostream &out_stream) {
+  PrintUsage("Loading statistics:\n");
+  typename Model::State state, out;
+  lm::FullScoreReturn ret;
+  std::string word;
+
+  while (in_stream) {
+    state = sentence_context ? model.BeginSentenceState() : model.NullContextState();
+    float total = 0.0;
+    bool got = false;
+    unsigned int oov = 0;
+    while (in_stream >> word) {
+      got = true;
+      lm::WordIndex vocab = model.GetVocabulary().Index(word);
+      if (vocab == 0) ++oov;
+      ret = model.FullScore(state, vocab, out);
+      total += ret.prob;
+      out_stream << word << '=' << vocab << ' ' << static_cast<unsigned int>(ret.ngram_length)  << ' ' << ret.prob << '\t';
+      state = out;
+      char c;
+      while (true) {
+        c = in_stream.get();
+        if (!in_stream) break;
+        if (c == '\n') break;
+        if (!isspace(c)) {
+          in_stream.unget();
+          break;
+        }
+      }
+      if (c == '\n') break;
+    }
+    if (!got && !in_stream) break;
+    if (sentence_context) {
+      ret = model.FullScore(state, model.GetVocabulary().EndSentence(), out);
+      total += ret.prob;
+      out_stream << "</s>=" << model.GetVocabulary().EndSentence() << ' ' << static_cast<unsigned int>(ret.ngram_length)  << ' ' << ret.prob << '\t';
+    }
+    out_stream << "Total: " << total << " OOV: " << oov << '\n';
+ }
+  PrintUsage("After queries:\n");
+}
+
+template <class M> void Query(const char *file, bool sentence_context, std::istream &in_stream, std::ostream &out_stream) {
+  Config config;
+//  config.load_method = util::LAZY;
+  M model(file, config);
+  Query(model, sentence_context, in_stream, out_stream);
+}
+
+} // namespace ngram
+} // namespace lm
+
+#endif // LM_NGRAM_QUERY__
+
+