* added sound classication

* added liscense, clean code, add pre-commit

* update req

* moved to PaddlePaddle-models

* code re-structure

* update README.md

* update README.md

* Update README.md

* add audioset training

* default resample mode to kaiser_fast

* delete some comments

* precommit check

* sha->rev

* add config.ymal

* remove SoundClassification from paddlespeech, since it's in PaddleAudio now

* add labels

* remove old labels

* update code

* empty

* #5300

* add evaluate, etc

* remove trace|

* import evaluate

* path update

* precommit check

* recover slowfast

* restore README.md to paddle:develop

* refactor

* update readme

* update README.md

* refactor

* refactor

* refactor

* refactor

* precommit fixed

* update README.md

* Update README.md

* Update README.md

* Update train.py

changed prefixed, removed some comments

* add wav file for testing

* bug fixed eval,new checkpoint map=0.416

* Update README.md
Co-authored-by: Nranchlai <=ranchlai@163.com>

* Update audio tagging example

* Update audio tagging example

* Add sound classification example

* Add sound classification example

* Refactor code in paddleaudio/models

* Upgrade __getitem__ to support on the fly feature extraction

* update DP in slowfast and refine nextvlad doc

* refine doc

* remove the old directory for the paddlenlp

* add the submodule for the PaddleNLP

* add distill lstm

* update distill and small model

* add data augmentation for distill Bi-LSTM

* update readme

* load embedding from pre-trainined files

* add some dataloader, modify model to support QQP

* update README

* upload senta word dict

* fix qqp distill data loader

* update data augmentation method

* Delete senta_word_dict.txt

* fix chinese data augmentation bug

* update some codes according to review, update readme

* use args, update readme, delete run_bert_finetune.py

* fix utils bugs

* add args

* update distill readme

* update readme

* rename readme's headline

* convert bert to uppercase

* optimize lac and msra_ner example

* optimize ner and lac

* rename filename to lexical_analysis_dataset_tiny_path0

* modify lac dataset url

* add -linear-schedule-with-warmup

* update lr scheduler usage in run_glue

* add import info

* add other 5 scheduler with warmup

* add copyright, update usage in run_glue

* simplify argument, make warmup arg support float and int

* Add some LambdaDecay scheduler with warmup, update usage in run_glue

* update classname and unify two cosine decays into one

* update usage in run_glue

* fix typo

* update WarmUp to Warmup, and update class name about Const, and update doc, and usage

* update usage of decay class

* update usage of decay class

* add seq2seq infer

* update argument description, remove useless import

* add deploy directory

* add deploy directory, add relative import

* update arg usage in README, fix import order.

* dy2sta and inference support

* delete useless code

* update dir

* sys

* delete useless import

* update docs

* update codes

* update docs

* update codes

* update codes

* update codes

* add method tokenizer.get_special_tokens_mask()

* Add inference support for BERT.

* Update inference support for BERT.

* fix checkpoints problem.

* bert benchmark fleet support pure_fp16

* fix use_pure_fp16

add an optional boolean argument pad_rght to Pad class to support padding direction selection

fix docs for visualdl