co-contributed with 夕陌&雨泓

 * add torch epoch based trainer and dis utils
 * add hooks including optimizer, lrscheduler, logging, checkpoint, evaluation, time profiling
 * add torch mdoel base and test
 * add optimizer and lrscheduler module
 * add sbert for text classification example
 * add task_dataset for dataset-level processor

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9338412

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9251871

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9240440

![](https://cn-hangzhou.oss-cdn.aliyun-inc.com/git/force/uploads/comment/29212/25464477278968069/image.png)

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9229852

* format pipeline output and check it
* fix UT
* add docstr to clarify the difference between model.postprocess and pipeline.postprocess

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9051405

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

1. add default model support
2. fix circular import
3. temporarily skip ofa and palm test which costs too much time

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8981076

* 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