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

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1.0 KiB

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
4 years ago
#ifndef _WORD_H_
#define _WORD_H_
#include <climits>
#include <cstring>
#include "memory.h"
namespace rmmseg {
const int word_embed_len = 4; /* at least 1 char (3 bytes+'\0') */
struct Word {
unsigned char nbytes; /* number of bytes */
char length; /* number of characters */
unsigned short freq;
char text[word_embed_len];
};
/**
* text: the text of the word.
* length: number of characters (not bytes).
* freq: the frequency of the word.
*/
inline Word *make_word(const char *text,
int length = 1,
int freq = 0,
int nbytes = -1) {
if (freq > USHRT_MAX) freq = USHRT_MAX; /* avoid overflow */
if (nbytes == -1) nbytes = static_cast<int>(std::strlen(text));
Word *w = static_cast<Word *>(
pool_alloc(sizeof(Word) + nbytes + 1 - word_embed_len));
w->nbytes = nbytes;
w->length = length;
w->freq = freq;
std::strncpy(w->text, text, nbytes);
w->text[nbytes] = '\0';
return w;
}
}
#endif /* _WORD_H_ */