#include "lm/model.hh" #include "util/file_piece.hh" #include #include #include #include #include #include #include namespace lm { namespace ngram { namespace { void Usage(const char *name) { std::cerr << "Usage: " << name << " [-u log10_unknown_probability] [-s] [-i] [-p probing_multiplier] [-t trie_temporary] [-m trie_building_megabytes] [-q bits] [-b bits] [-c bits] [type] input.arpa [output.mmap]\n\n" "-u sets the log10 probability for if the ARPA file does not have one.\n" " Default is -100. The ARPA file will always take precedence.\n" "-s allows models to be built even if they do not have and .\n" "-i allows buggy models from IRSTLM by mapping positive log probability to 0.\n\n" "type is either probing or trie. Default is probing.\n\n" "probing uses a probing hash table. It is the fastest but uses the most memory.\n" "-p sets the space multiplier and must be >1.0. The default is 1.5.\n\n" "trie is a straightforward trie with bit-level packing. It uses the least\n" "memory and is still faster than SRI or IRST. Building the trie format uses an\n" "on-disk sort to save memory.\n" "-t is the temporary directory prefix. Default is the output file name.\n" "-m limits memory use for sorting. Measured in MB. Default is 1024MB.\n" "-q turns quantization on and sets the number of bits (e.g. -q 8).\n" "-b sets backoff quantization bits. Requires -q and defaults to that value.\n" "-a compresses pointers using an array of offsets. The parameter is the\n" " maximum number of bits encoded by the array. Memory is minimized subject\n" " to the maximum, so pick 255 to minimize memory.\n\n" "Get a memory estimate by passing an ARPA file without an output file name.\n"; exit(1); } // I could really use boost::lexical_cast right about now. float ParseFloat(const char *from) { char *end; float ret = strtod(from, &end); if (*end) throw util::ParseNumberException(from); return ret; } unsigned long int ParseUInt(const char *from) { char *end; unsigned long int ret = strtoul(from, &end, 10); if (*end) throw util::ParseNumberException(from); return ret; } uint8_t ParseBitCount(const char *from) { unsigned long val = ParseUInt(from); if (val > 25) { util::ParseNumberException e(from); e << " bit counts are limited to 256."; } return val; } void ShowSizes(const char *file, const lm::ngram::Config &config) { std::vector counts; util::FilePiece f(file); lm::ReadARPACounts(f, counts); std::size_t sizes[5]; sizes[0] = ProbingModel::Size(counts, config); sizes[1] = TrieModel::Size(counts, config); sizes[2] = QuantTrieModel::Size(counts, config); sizes[3] = ArrayTrieModel::Size(counts, config); sizes[4] = QuantArrayTrieModel::Size(counts, config); std::size_t max_length = *std::max_element(sizes, sizes + sizeof(sizes) / sizeof(size_t)); std::size_t min_length = *std::min_element(sizes, sizes + sizeof(sizes) / sizeof(size_t)); std::size_t divide; char prefix; if (min_length < (1 << 10) * 10) { prefix = ' '; divide = 1; } else if (min_length < (1 << 20) * 10) { prefix = 'k'; divide = 1 << 10; } else if (min_length < (1ULL << 30) * 10) { prefix = 'M'; divide = 1 << 20; } else { prefix = 'G'; divide = 1 << 30; } long int length = std::max(2, lrint(ceil(log10(max_length / divide)))); std::cout << "Memory estimate:\ntype "; // right align bytes. for (long int i = 0; i < length - 2; ++i) std::cout << ' '; std::cout << prefix << "B\n" "probing " << std::setw(length) << (sizes[0] / divide) << " assuming -p " << config.probing_multiplier << "\n" "trie " << std::setw(length) << (sizes[1] / divide) << " without quantization\n" "trie " << std::setw(length) << (sizes[2] / divide) << " assuming -q " << (unsigned)config.prob_bits << " -b " << (unsigned)config.backoff_bits << " quantization \n" "trie " << std::setw(length) << (sizes[3] / divide) << " assuming -a " << (unsigned)config.pointer_bhiksha_bits << " array pointer compression\n" "trie " << std::setw(length) << (sizes[4] / divide) << " assuming -a " << (unsigned)config.pointer_bhiksha_bits << " -q " << (unsigned)config.prob_bits << " -b " << (unsigned)config.backoff_bits<< " array pointer compression and quantization\n"; } void ProbingQuantizationUnsupported() { std::cerr << "Quantization is only implemented in the trie data structure." << std::endl; exit(1); } } // namespace ngram } // namespace lm } // namespace int main(int argc, char *argv[]) { using namespace lm::ngram; try { bool quantize = false, set_backoff_bits = false, bhiksha = false; lm::ngram::Config config; int opt; while ((opt = getopt(argc, argv, "siu:p:t:m:q:b:a:")) != -1) { switch(opt) { case 'q': config.prob_bits = ParseBitCount(optarg); if (!set_backoff_bits) config.backoff_bits = config.prob_bits; quantize = true; break; case 'b': config.backoff_bits = ParseBitCount(optarg); set_backoff_bits = true; break; case 'a': config.pointer_bhiksha_bits = ParseBitCount(optarg); bhiksha = true; case 'u': config.unknown_missing_logprob = ParseFloat(optarg); break; case 'p': config.probing_multiplier = ParseFloat(optarg); break; case 't': config.temporary_directory_prefix = optarg; break; case 'm': config.building_memory = ParseUInt(optarg) * 1048576; break; case 's': config.sentence_marker_missing = lm::SILENT; break; case 'i': config.positive_log_probability = lm::SILENT; break; default: Usage(argv[0]); } } if (!quantize && set_backoff_bits) { std::cerr << "You specified backoff quantization (-b) but not probability quantization (-q)" << std::endl; abort(); } if (optind + 1 == argc) { ShowSizes(argv[optind], config); } else if (optind + 2 == argc) { config.write_mmap = argv[optind + 1]; if (quantize || set_backoff_bits) ProbingQuantizationUnsupported(); ProbingModel(argv[optind], config); } else if (optind + 3 == argc) { const char *model_type = argv[optind]; const char *from_file = argv[optind + 1]; config.write_mmap = argv[optind + 2]; if (!strcmp(model_type, "probing")) { if (quantize || set_backoff_bits) ProbingQuantizationUnsupported(); ProbingModel(from_file, config); } else if (!strcmp(model_type, "trie")) { if (quantize) { if (bhiksha) { QuantArrayTrieModel(from_file, config); } else { QuantTrieModel(from_file, config); } } else { if (bhiksha) { ArrayTrieModel(from_file, config); } else { TrieModel(from_file, config); } } } else { Usage(argv[0]); } } else { Usage(argv[0]); } } catch (const std::exception &e) { std::cerr << e.what() << std::endl; return 1; } return 0; }