* 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

* 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

Refactor whole data preprocessor for DS2 (re-design classes, re-organize dir, add augmentaion interfaces etc.).

1. Refactor data preprocessor with new added class AudioSegment, SpeechSegment, TextFeaturizer, AudioFeaturizer, SpeechFeaturizer.
2. Add data augmentation interfaces and class AugmentorBase, AugmentationPipeline, VolumnPerturbAugmentor etc..
3. Seperate normalizer's mean and std computing from training, by adding FeatureNormalizer and a seperate tool compute_mean_std.py.
4. Re-organize directory.

Summary:
1. Add manifest line check.
2. Avoid re-unpacking if unpacked data already exists.
3. Add full_download (download all 7 sub-datasets of LibriSpeech).

2. Fix incorrect batch-norm usage in RNN.
3. Fix overlapping train/dev/test manfests.
4. Update README.md and requirements.txt.
5. Expose more arguments to users in argparser.
6. Update all other details.

Bug exists when run training.