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PaddleSpeech/third_party/pymmseg-cpp/mmseg/mmseg-cpp/algor.h

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E2E/Streaming Transformer/Conformer ASR (#578) * add cmvn and label smoothing loss layer * add layer for transformer * add glu and conformer conv * add torch compatiable hack, mask funcs * not hack size since it exists * add test; attention * add attention, common utils, hack paddle * add audio utils * conformer batch padding mask bug fix #223 * fix typo, python infer fix rnn mem opt name error and batchnorm1d, will be available at 2.0.2 * fix ci * fix ci * add encoder * refactor egs * add decoder * refactor ctc, add ctc align, refactor ckpt, add warmup lr scheduler, cmvn utils * refactor docs * add fix * fix readme * fix bugs, refactor collator, add pad_sequence, fix ckpt bugs * fix docstring * refactor data feed order * add u2 model * refactor cmvn, test * add utils * add u2 config * fix bugs * fix bugs * fix autograd maybe has problem when using inplace operation * refactor data, build vocab; add format data * fix text featurizer * refactor build vocab * add fbank, refactor feature of speech * refactor audio feat * refactor data preprare * refactor data * model init from config * add u2 bins * flake8 * can train * fix bugs, add coverage, add scripts * test can run * fix data * speed perturb with sox * add spec aug * fix for train * fix train logitc * fix logger * log valid loss, time dataset process * using np for speed perturb, remove some debug log of grad clip * fix logger * fix build vocab * fix logger name * using module logger as default * fix * fix install * reorder imports * fix board logger * fix logger * kaldi fbank and mfcc * fix cmvn and print prarams * fix add_eos_sos and cmvn * fix cmvn compute * fix logger and cmvn * fix subsampling, label smoothing loss, remove useless * add notebook test * fix log * fix tb logger * multi gpu valid * fix log * fix log * fix config * fix compute cmvn, need paddle 2.1 * add cmvn notebook * fix layer tools * fix compute cmvn * add rtf * fix decoding * fix layer tools * fix log, add avg script * more avg and test info * fix dataset pickle problem; using 2.1 paddle; num_workers can > 0; ckpt save in exp dir;fix setup.sh; * add vimrc * refactor tiny script, add transformer and stream conf * spm demo; librisppech scripts and confs * fix log * add librispeech scripts * refactor data pipe; fix conf; fix u2 default params * fix bugs * refactor aishell scripts * fix test * fix cmvn * fix s0 scripts * fix ds2 scripts and bugs * fix dev & test dataset filter * fix dataset filter * filter dev * fix ckpt path * filter test, since librispeech will cause OOM, but all test wer will be worse, since mismatch train with test * add comment * add syllable doc * fix ds2 configs * add doc * add pypinyin tools * fix decoder using blank_id=0 * mmseg with pybind11 * format code
3 years ago
#ifndef _ALGORITHM_H_
#define _ALGORITHM_H_
#include <vector>
#include <string>
#include "chunk.h"
#include "dict.h"
#include "token.h"
/**
* The Algorithm of MMSeg use four rules:
* - Maximum matching rule
* - Largest average word length rule
* - Smallest variance of word length rule
* - Largest sum of degree of morphemic freedom of one-character
* words rule
*/
namespace rmmseg {
class Algorithm {
public:
// Algorithm(const char *text, int length)
Algorithm(const std::string text)
: m_text(text.c_str()),
m_text_(text),
m_pos(0),
m_text_length(text.size()),
m_tmp_words_i(0),
m_match_cache_i(0) {
for (int i = 0; i < match_cache_size; ++i) m_match_cache[i].first = -1;
}
Token next_token();
const char *get_text() const { return m_text; }
private:
Token get_basic_latin_word();
Token get_cjk_word(int);
std::vector<Chunk> create_chunks();
int next_word();
int next_char();
std::vector<Word *> find_match_words();
int max_word_length() { return 8; }
const char *m_text;
// https://github.com/pybind/pybind11/issues/2245
// NOTE: m_text will be cleaned by gc, so hold string by m_test_
const std::string m_text_;
int m_pos;
int m_text_length;
/* tmp words are only for 1-char words which
* are not exist in the dictionary. It's length
* value will be set to -1 to indicate it is
* a tmp word. */
Word *get_tmp_word() {
if (m_tmp_words_i >= max_tmp_words) m_tmp_words_i = 0; // round wrap
return &m_tmp_words[m_tmp_words_i++];
}
/* related to max_word_length and match_cache_size */
static const int max_tmp_words = 512;
Word m_tmp_words[max_tmp_words];
int m_tmp_words_i;
/* match word caches */
static const int match_cache_size = 3;
typedef std::pair<int, std::vector<Word *>> match_cache_t;
match_cache_t m_match_cache[match_cache_size];
int m_match_cache_i;
};
}
#endif /* _ALGORITHM_H_ */