mosesdecoder/kenlm/lm/ngram_query.cc
heafield 2784923899 Rename a bunch of kenlm files. A ./regenerate-makefiles.sh is required.
Make loading with MAP_POPULATE on Linux and read on other OSes the default.
Use LM #9 for lazy loading, as recommended by other devs.  
Slightly faster trie.  



git-svn-id: https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder/trunk@3688 1f5c12ca-751b-0410-a591-d2e778427230
2010-11-06 00:40:16 +00:00

73 lines
2.0 KiB
C++

#include "lm/model.hh"
#include <cstdlib>
#include <fstream>
#include <iostream>
#include <string>
#include <sys/resource.h>
#include <sys/time.h>
float FloatSec(const struct timeval &tv) {
return static_cast<float>(tv.tv_sec) + (static_cast<float>(tv.tv_usec) / 1000000000.0);
}
void PrintUsage(const char *message) {
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;
}
}
}
template <class Model> void Query(const Model &model) {
PrintUsage("Loading statistics:\n");
typename Model::State state, out;
lm::FullScoreReturn ret;
std::string word;
while (std::cin) {
state = model.BeginSentenceState();
float total = 0.0;
bool got = false;
while (std::cin >> word) {
got = true;
ret = model.FullScore(state, model.GetVocabulary().Index(word), out);
total += ret.prob;
std::cout << word << ' ' << static_cast<unsigned int>(ret.ngram_length) << ' ' << ret.prob << ' ';
state = out;
if (std::cin.get() == '\n') break;
}
if (!got && !std::cin) break;
ret = model.FullScore(state, model.GetVocabulary().EndSentence(), out);
total += ret.prob;
std::cout << "</s> " << static_cast<unsigned int>(ret.ngram_length) << ' ' << ret.prob << ' ';
std::cout << "Total: " << total << '\n';
}
PrintUsage("After queries:\n");
}
int main(int argc, char *argv[]) {
if (argc < 2) {
std::cerr << "Pass language model name." << std::endl;
return 0;
}
{
lm::ngram::Model ngram(argv[1]);
Query(ngram);
}
PrintUsage("Total time including destruction:\n");
}