1. add device util to verify, create and place device
2. pipeline and trainer support update
3.  fix pipeline which use tf models does not place model to the right device

usage

```python
pipe = pipeline('damo/xxx', device='cpu')
pipe = pipeline('damo/xxx', device='gpu')
pipe = pipeline('damo/xxx', device='gpu:0')
pipe = pipeline('damo/xxx', device='gpu:2')
pipe = pipeline('damo/xxx', device='cuda')
pipe = pipeline('damo/xxx', device='cuda:1')
```
 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9800672

1. task name and output definition: [link](https://alidocs.dingtalk.com/i/nodes/KOEmgBoGwD78vd2bAry3VndLerP9b30a?nav=spaces&navQuery=spaceId%3Dnb9XJNlZxbgrOXyA&iframeQuery=utm_source%3Dportal%26utm_medium%3Dportal_space_file_tree)

2. rearrange task definition and add more outputs definition for tasks

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9585469

* refine taskdataset interface
 * add device placement for trainer
 * add device placement for pipeline
 * add config checker and fix model placement bug
 * fix cycling import
 * refactor model init for translation_pipeline
 * cv pipelines support kwargs


Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9463076

* 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

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9019685

1. rename maas_config to configuration
2. remove task field image and video, using cv instead

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9010802

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8993758

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

* 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