mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-11-10 10:59:21 +03:00
162 lines
5.3 KiB
C++
162 lines
5.3 KiB
C++
#include "storing.hh"
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BinaryFileWriter::BinaryFileWriter (std::string basepath) : os ((basepath + "/binfile.dat").c_str(), std::ios::binary)
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{
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binfile.reserve(10000); //Reserve part of the vector to avoid realocation
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it = binfile.begin();
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dist_from_start = 0; //Initialize variables
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extra_counter = 0;
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}
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void BinaryFileWriter::write (std::vector<unsigned char> * bytes)
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{
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binfile.insert(it, bytes->begin(), bytes->end()); //Insert the bytes
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//Keep track of the offsets
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it += bytes->size();
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dist_from_start = distance(binfile.begin(),it);
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//Flush the vector to disk every once in a while so that we don't consume too much ram
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if (dist_from_start > 9000) {
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flush();
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}
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}
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void BinaryFileWriter::flush ()
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{
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//Cast unsigned char to char before writing...
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os.write((char *)&binfile[0], dist_from_start);
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//Clear the vector:
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binfile.clear();
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binfile.reserve(10000);
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extra_counter += dist_from_start; //Keep track of the total number of bytes.
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it = binfile.begin(); //Reset iterator
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dist_from_start = distance(binfile.begin(),it); //Reset dist from start
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}
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BinaryFileWriter::~BinaryFileWriter ()
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{
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os.close();
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binfile.clear();
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}
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void createProbingPT(const char * phrasetable_path, const char * target_path,
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const char * num_scores, const char * is_reordering)
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{
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//Get basepath and create directory if missing
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std::string basepath(target_path);
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mkdir(basepath.c_str(), S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
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//Set up huffman and serialize decoder maps.
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Huffman huffmanEncoder(phrasetable_path); //initialize
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huffmanEncoder.assign_values();
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huffmanEncoder.produce_lookups();
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huffmanEncoder.serialize_maps(target_path);
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//Get uniq lines:
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unsigned long uniq_entries = huffmanEncoder.getUniqLines();
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//Source phrase vocabids
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std::map<uint64_t, std::string> source_vocabids;
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//Read the file
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util::FilePiece filein(phrasetable_path);
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//Init the probing hash table
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size_t size = Table::Size(uniq_entries, 1.2);
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char * mem = new char[size];
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memset(mem, 0, size);
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Table table(mem, size);
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BinaryFileWriter binfile(basepath); //Init the binary file writer.
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line_text prev_line; //Check if the source phrase of the previous line is the same
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//Keep track of the size of each group of target phrases
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uint64_t entrystartidx = 0;
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//uint64_t line_num = 0;
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//Read everything and processs
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while(true) {
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try {
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//Process line read
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line_text line;
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line = splitLine(filein.ReadLine());
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//Add source phrases to vocabularyIDs
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add_to_map(&source_vocabids, line.source_phrase);
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if ((binfile.dist_from_start + binfile.extra_counter) == 0) {
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prev_line = line; //For the first iteration assume the previous line is
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} //The same as this one.
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if (line.source_phrase != prev_line.source_phrase) {
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//Create a new entry even
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//Create an entry for the previous source phrase:
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Entry pesho;
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pesho.value = entrystartidx;
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//The key is the sum of hashes of individual words bitshifted by their position in the phrase.
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//Probably not entirerly correct, but fast and seems to work fine in practise.
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pesho.key = 0;
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std::vector<uint64_t> vocabid_source = getVocabIDs(prev_line.source_phrase);
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for (int i = 0; i < vocabid_source.size(); i++) {
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pesho.key += (vocabid_source[i] << i);
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}
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pesho.bytes_toread = binfile.dist_from_start + binfile.extra_counter - entrystartidx;
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//Put into table
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table.Insert(pesho);
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entrystartidx = binfile.dist_from_start + binfile.extra_counter; //Designate start idx for new entry
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//Encode a line and write it to disk.
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std::vector<unsigned char> encoded_line = huffmanEncoder.full_encode_line(line);
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binfile.write(&encoded_line);
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//Set prevLine
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prev_line = line;
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} else {
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//If we still have the same line, just append to it:
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std::vector<unsigned char> encoded_line = huffmanEncoder.full_encode_line(line);
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binfile.write(&encoded_line);
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}
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} catch (util::EndOfFileException e) {
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std::cerr << "Reading phrase table finished, writing remaining files to disk." << std::endl;
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binfile.flush();
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//After the final entry is constructed we need to add it to the phrase_table
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//Create an entry for the previous source phrase:
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Entry pesho;
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pesho.value = entrystartidx;
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//The key is the sum of hashes of individual words. Probably not entirerly correct, but fast
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pesho.key = 0;
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std::vector<uint64_t> vocabid_source = getVocabIDs(prev_line.source_phrase);
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for (int i = 0; i < vocabid_source.size(); i++) {
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pesho.key += (vocabid_source[i] << i);
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}
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pesho.bytes_toread = binfile.dist_from_start + binfile.extra_counter - entrystartidx;
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//Put into table
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table.Insert(pesho);
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break;
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}
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}
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serialize_table(mem, size, (basepath + "/probing_hash.dat").c_str());
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serialize_map(&source_vocabids, (basepath + "/source_vocabids").c_str());
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delete[] mem;
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//Write configfile
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std::ofstream configfile;
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configfile.open((basepath + "/config").c_str());
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configfile << API_VERSION << '\n';
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configfile << uniq_entries << '\n';
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configfile << num_scores << '\n';
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configfile << is_reordering << '\n';
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configfile.close();
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}
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