* 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

* add acts, refactor ctc, add pos embed

* fix export, dataloader time log

* fix egs

* fix libri readme

* 2.x model

* model test pass

* fix data

* fix soundfile with flac support

* one thread dataloader test pass

* export feasture size
add trainer and utils
add setup model and dataloader
update travis using Bionic dist

* add venv; test under venv

* fix unittest; train and valid

* add train and config

* add config and train script

* fix ctc cuda memcopy error

* fix imports

* fix train valid log

* fix dataset batch shuffle shift start from 1
fix rank_zero_only decreator error
close tensorboard when train over
add decoding config and code

* test process can run

* test with decoding

* test and infer with decoding

* fix infer

* fix ctc loss
lr schedule
sortagrad
logger

* aishell egs

* refactor train
add aishell egs

* fix dataset batch shuffle and add batch sampler log
print model parameter

* fix model and ctc

* sequence_mask make all inputs zeros, which cause grad be zero, this is a bug of LessThanOp
add grad clip by global norm
add model train test notebook

* ctc loss
remove run prefix
using ord value as text id

* using unk when training
compute_loss need text ids
ord id using in test mode, which compute wer/cer

* fix tester

* add lr_deacy
refactor code

* fix tools

* fix ci
add tune
fix gru model bugs
add dataset and model test

* fix decoding

* refactor repo
fix decoding

* fix musan and rir dataset

* refactor io, loss, conv, rnn, gradclip, model, utils

* fix ci and import

* refactor model
add export jit model

* add deploy bin and test it

* rm uselss egs

* add layer tools

* refactor socket server
new model from pretrain

* remve useless

* fix instability loss and grad nan or inf for librispeech training

* fix sampler

* fix libri train.sh

* fix doc

* add license on cpp

* fix doc

* fix libri script

* fix install

* clip 5 wer 7.39, clip 400 wer 7.54, 1.8 clip 400 baseline 7.49