*  remove tensorflow numpy from audio requirements
*  add audio requirements to all
* auto set model to eval model for pipeline
*  add audio requirement check hint for easyasr and kwsbp
*  fix docs build error

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9561021

限制protobuf版本，修复单元测试有error返回值为0问题
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9510263

    * fix test error is not detected in gate test, protobuf version to (3, 3.21.0)

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9407594

* add self-hosted repo:
* add extra requirements for different field and reduce necessary requirements
* update docker file with so required by audio
* add requirements checker which will be used later when implement lazy import
* remove repeated requirements and replace opencv-python-headless with opencv-python

example usage:
```shell
pip install model_scope[all] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html
pip install model_scope[cv] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html
pip install model_scope[nlp] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html
pip install model_scope[audio] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html
pip install model_scope[multi-modal] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html

```
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9211383

合并model hub 代码
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9096493

接入支持中英文的 Palm2.0 模型，复用 text-generation-pipeline

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9066550

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8973072

    * [to #41669377] docs and tools refinement and release 

1. add build_doc linter script
2. add sphinx-docs support
3. add development doc and api doc
4. change version to 0.1.0 for the first internal release version

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8775307

* [to #41669377] add pipeline tutorial and fix bugs 

1. add pipleine tutorial
2. fix bugs when using pipeline with certain model and preprocessor

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8814301

* refine doc

* feat: add audio aec pipeline and preprocessor

* feat: add audio aec model classes

* feat: add audio aec loss functions

* refactor:delete no longer used loss function

* [to #42281043] support kwargs in pipeline 
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8949062
* support kwargs in pipeline

* update develop doc with CR instruction

* Merge branch 'release/0.1' into dev/aec

* style: reformat code by pre-commit tools

* feat:support maas_lib pipeline auto downloading model

* test:add aec test case as sample code

* feat:aec pipeline use config from maashub

* feat:aec pipeline use feature parameters from maashub

* update setup.cfg to disable PEP8 rule W503 in flake8 and yapf

* format:fix double quoted strings, indent issues and optimize import

* refactor:extract some constant in aec pipeline

* refactor: delete no longer used  __main__ statement

* chore:change all Chinese comments to English

* fix: change file name style to lower case

* refactor: rename model name

* feat:load C++ .so from LD_LIBRARY_PATH

* feat:register PROPROCESSOR for LinearAECAndFbank

* refactory:move aec process from postprocess() to forward() and update comments

* refactory:add more readable error message when audio sample rate is not 16000

* fix: package maas_lib renamed to modelscope in import statement

* feat: optimize the error message of audio layer classes

* format: delete empty lines

* refactor: rename audio preprocessor and optimize error message

* refactor: change aec model id to damo/speech_dfsmn_aec_psm_16k

* refactor: change sample audio file url to public oss

* Merge branch 'master' into dev/aec

* feat: add output info for aec pipeline

* fix: normalize output audio data to [-1.0, 1.0]

* refactor:use constant from ModelFile

* feat: AEC pipeline can use c++ lib in current working directory and the test will download it

* fix: c++ downloading should work wherever test is triggerd

1.  use Pillow >= 6.2.0
2. change skip test msg for image caption
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9041194

1.  refactor maaslib to modelscope
2.  fix UT error
3.  support pipeline which does not register default model

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8988388

* merge pydataset to the repo
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8955999

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8868644

1. refine quick start and pipeline doc
2. remove tf pytorch easynlp from requirements
3. lazy import for torch and tensorflow
4. test successfully on linux and mac intel cpu
5. update api doc

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8882373

* add trainer interface
 * add trainer script
 * add model init support for pipelineadd pipeline tutorial and fix bugs 
 * add text classification evaluation to maas lib 
 * add quickstart and prepare env doc
 * relax requirements for torch and sentencepiece
 * merge release/0.1 and fix conflict
 * modelhub support for model and pipeline

 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8868339

* add preprocessor module
 * add model base and builder
 * update task constant
 * add load image preprocessor and its dependency
 * add pipeline interface and UT covered
 * support default pipeline for task
 * add image matting pipeline
 * refine nlp tokenize interface
 * add nlp pipeline 
 * fix UT failed
 * add test for Compose

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8769235

* add preprocessor module

* add test for Compose

* fix citest error

* fix abs class error

* add model base and builder

* update task constant

* add load image preprocessor and its dependency

* add pipeline interface and UT covered

* support default pipeline for task

* refine models and pipeline interface

* add pipeline folder structure

* add image matting pipeline

* refine nlp tokenize interface

* add nlp pipeline 

1.add preprossor model pipeline for nlp text classification
2. add corresponding test

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8757371

* new nlp pipeline

* format pre-commit code

* update easynlp pipeline

* update model_name for easynlp pipeline; add test for maas_lib/utils/typeassert.py

* update test_typeassert.py

* refactor code

1. rename typeassert to type_assert
2. use lazy import to make easynlp dependency optional
3. refine image matting UT

* fix linter test failed

* update requirements.txt

* fix UT failed

* fix citest script to update requirements

* add constant
 * add logger module
 * add registry and builder module
 * add fileio module
 * add requirements and setup.cfg
 * add config module and tests
 * add citest script

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8718998