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

61 lines
1.6 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
3 years ago
#ifndef _RULES_H_
#define _RULES_H_
#include <algorithm>
#include <vector>
#include "chunk.h"
namespace rmmseg {
template <typename Cmp>
void take_highest(std::vector<Chunk> &chunks, const Cmp &cmp) {
unsigned int i = 1, j;
for (j = 1; j < chunks.size(); ++j) {
int rlt = cmp(chunks[j], chunks[0]);
if (rlt > 0) i = 0;
if (rlt >= 0) std::swap(chunks[i++], chunks[j]);
}
chunks.erase(chunks.begin() + i, chunks.end());
}
struct MMCmp_t {
int operator()(const Chunk &a, const Chunk &b) const {
return a.total_length() - b.total_length();
}
} MMCmp;
void mm_filter(std::vector<Chunk> &chunks) { take_highest(chunks, MMCmp); }
struct LAWLCmp_t {
int operator()(const Chunk &a, const Chunk &b) const {
double rlt = a.average_length() - b.average_length();
if (rlt == 0) return 0;
if (rlt > 0) return 1;
return -1;
}
} LAWLCmp;
void lawl_filter(std::vector<Chunk> &chunks) { take_highest(chunks, LAWLCmp); }
struct SVWLCmp_t {
int operator()(const Chunk &a, const Chunk &b) const {
double rlt = a.variance() - b.variance();
if (rlt == 0) return 0;
if (rlt < 0) return 1;
return -1;
}
} SVWLCmp;
void svwl_filter(std::vector<Chunk> &chunks) { take_highest(chunks, SVWLCmp); }
struct LSDMFOCWCmp_t {
int operator()(const Chunk &a, const Chunk &b) const {
return a.degree_of_morphemic_freedom() -
b.degree_of_morphemic_freedom();
}
} LSDMFOCWCmp;
void lsdmfocw_filter(std::vector<Chunk> &chunks) {
take_highest(chunks, LSDMFOCWCmp);
}
}
#endif /* _RULES_H_ */