* Refine Model

1. Take the network (instance of Layer) as the input of Model.
2. Refine set_dict/load_dict of Layer.
3. Refine Input interface, so update code sample about Input

* add approval

* add ci check for changing op-related api without core.ops, test=develop

* generate api_source_md5 file when build, test=develop

* add failed example, test=develop

* add failed example, test=develop

* handle exception, test=develop

* add add checker for seting parameter RUNTYPE to EXCLUSIVE or DIST. test=develop

* add checker for seting parameter RUNTYPE to EXCLUSIVE or DIST. test=develop

* add check for setting TIMEOUT properties, test=develop

* add check for setting TIMEOUT properties, or setting parameter RUN_TYPE to EXCLUSIVE or DIST,test=document_fix test=develop

* add check for setting TIMEOUT properties, or setting parameter RUN_TYPE to EXCLUSIVE or DIST,test=document_fix test=develop

* modify the github wiki link,test=document_fix test=develop

test=develop
test=document_fix

* add summary_env, test=develop

* update issue template, test=develop

* refine link, test=develop
Co-authored-by: Nroot <root@yq01-gpu-255-129-15-00.epc.baidu.com>

* use allow list instead of white list, test=develop

* reduce include, test=develop

* modify coverage gcc48 and gcc8 dockerfile trt's url, add gcc8 dockerfile pip tuna source,test=develop,test=document_fix

* delete pip tuna source,test=develop,test=document_fix

* add openmpi's description,test=develop,test=document_fix

* add grep enforce shell, test=develop, test=document_fix

* add copyright desc, test=develop, test=document_fix

* refactor four scripts, test=develop, test=document_fix

* change white list var, test=develop, test=document_fix

* add args for count_enforce_by_file, test=develop, test=document_fix

* remove REPLACE_ENFORCE_GLOG compile option & add ci rule prohibit LOG(FATAL) using, test=develop

* remove ci test case, test=develop

* replace all LOG(FATAL) & polish message, test=develop

* fix typo, test=develop

* polish error info detail, test=develop

test=develop
test=document_fix

* Add pr checker for ut

test=develop

* Change approvers for ut spec checking

test=document_fix

* Change approvers for ut spec checking

test=develop
test=document_fix

* Add comments

test=develop
test=document_fix

* Refine error message

test=develop
test=document_fix

* polish reader error message, test=develop

* fix detail error, test=develop

* reset activation dcudnn change, test=develop

* Add hapi.text and corresponding unit test.
test=develop

* Remove hapi.text apis' reuse parameter args for coverage.
test=develop

* Fix TransformerCell and TransformerBeamSearchDecoder example codes.
test=develop

* Fix example codes in hapi.text.
test=develop

* Add some apis in hapi.text into example code white list.
test=develop

* Fix example code of DynamicDecode in hapi.text.
text=develop

* Rename Model.self as model in test_text.py
test=develop

* Merge hapi into Paddle

Hapi is a high level API for training and inference.
The main modules include Model, Loss, Metrics, Dataset.
Also includes common modules and models in NLP and computer vision, such as BERT, ResNet.

These modules are developed by:
0YuanZhang0, guoshengCS heavengate, LielinJiang, qingqing01, xyzhou-puck huangjun12, wangxiao1021, zhangyang.