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#include <iostream>
#include <vector>
#include <cassert>
#include <unistd.h> // fork
#include <sys/wait.h> // waitpid
#include <boost/program_options.hpp>
#include <boost/program_options/variables_map.hpp>
#include "tdict.h"
#include "ff_register.h"
#include "verbose.h"
#include "hg.h"
#include "decoder.h"
#include "filelib.h"
using namespace std;
namespace po = boost::program_options;
void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
po::options_description opts("Configuration options");
opts.add_options()
("training_data,t",po::value<string>(),"Training data corpus")
("decoder_config,c",po::value<string>(),"Decoder configuration file")
("shards,s",po::value<unsigned>()->default_value(1),"Number of shards")
("starting_shard,S",po::value<unsigned>()->default_value(0), "In this invocation only process shards >= S")
("work_limit,l",po::value<unsigned>()->default_value(9999), "Process maximially this many shards")
("ncpus,C",po::value<unsigned>()->default_value(1),"Number of CPUs to use");
po::options_description clo("Command line options");
clo.add_options()
("config", po::value<string>(), "Configuration file")
("help,h", "Print this help message and exit");
po::options_description dconfig_options, dcmdline_options;
dconfig_options.add(opts);
dcmdline_options.add(opts).add(clo);
po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
if (conf->count("config")) {
ifstream config((*conf)["config"].as<string>().c_str());
po::store(po::parse_config_file(config, dconfig_options), *conf);
}
po::notify(*conf);
if (conf->count("help") || !conf->count("training_data") || !conf->count("decoder_config")) {
cerr << dcmdline_options << endl;
exit(1);
}
}
void ReadTrainingCorpus(const string& fname, int rank, int size, vector<string>* c, vector<int>* ids) {
ReadFile rf(fname);
istream& in = *rf.stream();
string line;
int lc = 0;
assert(size > 0);
assert(rank < size);
while(in) {
getline(in, line);
if (!in) break;
if (lc % size == rank) {
c->push_back(line);
ids->push_back(lc);
}
++lc;
}
}
struct TrainingObserver : public DecoderObserver {
TrainingObserver() : s_lhs(-TD::Convert("S")), goal_lhs(-TD::Convert("Goal")) {}
void Reset() {
total_complete = 0;
}
virtual void NotifyDecodingStart(const SentenceMetadata& smeta) {
state = 1;
used.clear();
failed = true;
}
virtual void NotifyTranslationForest(const SentenceMetadata& smeta, Hypergraph* hg) {
assert(state == 1);
for (int i = 0; i < hg->edges_.size(); ++i) {
const TRule* rule = hg->edges_[i].rule_.get();
if (rule->lhs_ == s_lhs || rule->lhs_ == goal_lhs) // fragile hack to filter out glue rules
continue;
used.insert(rule);
}
state = 2;
}
virtual void NotifyAlignmentForest(const SentenceMetadata& smeta, Hypergraph* hg) {
assert(state == 2);
state = 3;
}
virtual void NotifyDecodingComplete(const SentenceMetadata& smeta) {
if (state == 3) {
failed = false;
} else {
failed = true;
}
}
set<const TRule*> used;
const int s_lhs;
const int goal_lhs;
bool failed;
int total_complete;
int state;
};
void work(const string& fname, int rank, int size, Decoder* decoder) {
cerr << "Worker " << rank << '/' << size << " starting.\n";
vector<string> corpus;
vector<int> ids;
ReadTrainingCorpus(fname, rank, size, &corpus, &ids);
assert(corpus.size() > 0);
assert(corpus.size() == ids.size());
cerr << " " << rank << '/' << size << ": has " << corpus.size() << " sentences to process\n";
ostringstream oc; oc << "corpus." << rank << "_of_" << size;
WriteFile foc(oc.str());
ostringstream og; og << "grammar." << rank << "_of_" << size << ".gz";
WriteFile fog(og.str());
set<const TRule*> all_used;
TrainingObserver observer;
for (int i = 0; i < corpus.size(); ++i) {
const int sent_id = ids[i];
const string& input = corpus[i];
decoder->SetId(sent_id);
decoder->Decode(input, &observer);
if (observer.failed) {
// do nothing
} else {
(*foc.stream()) << input << endl;
for (set<const TRule*>::iterator it = observer.used.begin(); it != observer.used.end(); ++it) {
if (all_used.insert(*it).second)
(*fog.stream()) << **it << endl;
}
}
}
}
int main(int argc, char** argv) {
register_feature_functions();
po::variables_map conf;
InitCommandLine(argc, argv, &conf);
const string fname = conf["training_data"].as<string>();
const unsigned ncpus = conf["ncpus"].as<unsigned>();
const unsigned shards = conf["shards"].as<unsigned>();
const unsigned start = conf["starting_shard"].as<unsigned>();
const unsigned work_limit = conf["work_limit"].as<unsigned>();
const unsigned eff_shards = min(start + work_limit, shards);
cerr << "Processing shards " << start << "/" << shards << " to " << eff_shards << "/" << shards << endl;
assert(ncpus > 0);
ReadFile ini_rf(conf["decoder_config"].as<string>());
Decoder decoder(ini_rf.stream());
if (decoder.GetConf()["input"].as<string>() != "-") {
cerr << "cdec.ini must not set an input file\n";
abort();
}
SetSilent(true); // turn off verbose decoder output
cerr << "Forking " << ncpus << " time(s)\n";
vector<pid_t> children;
for (int i = 0; i < ncpus; ++i) {
pid_t pid = fork();
if (pid < 0) {
cerr << "Fork failed!\n";
exit(1);
}
if (pid > 0) {
children.push_back(pid);
} else {
for (int j = start; j < eff_shards; ++j) {
if (j % ncpus == i) {
cerr << " CPU " << i << " processing shard " << j << endl;
work(fname, j, shards, &decoder);
cerr << " Shard " << j << "/" << shards << " finished.\n";
}
}
_exit(0);
}
}
for (int i = 0; i < children.size(); ++i) {
int status;
int w = waitpid(children[i], &status, 0);
if (w < 0) { cerr << "Error while waiting for children!"; return 1; }
if (WIFSIGNALED(status)) {
cerr << "Child " << i << " received signal " << WTERMSIG(status) << endl;
if (WTERMSIG(status) == 11) { cerr << " this is a SEGV- you may be trying to print temporarily created rules\n"; }
}
}
return 0;
}
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