* test=cpu-gpu-py3

* test=cpu-gpu-py3;notest

* notest;test=cpu-gpu-py3

1. check status of remove op grad shell scripts
2. Update paddle_build.bat to remove op grad when build windows inference lib
3. add inference demo test after build finish

* fix cpu/gpu check approve

* test=coverage;test=notest

* test=coverage;test=notest

* del

* del py2 code3

* test=notest;test=coverage

* del

* fix

* support Ninja and establish dependencies relationship between paddle with third_party

* fix CI

* support Ninja

* block pyc file

* block pyc file

* block pyc

* block pyc

* block pyc

* test=document_fix; block pyc file

* test=document_fix; block pyc file

* test=document_fix; block pyc file

* test=document_fix; block pyc file

* using argparse to handle selections

* 2 TODOs

* 先不更改pipeline配置，这里强制改成GPU版本

* sorted the all_names

* exec gpu sample codes tests incrementally

* get all apis from the pr.spec file

* condition with WITH_GPU

WITH_GPU == ON

save

* delete the useless codes

* delete the useless codes.

test=document_fix

* echo the diff result

test=document_fix

* dont reuse the variables

* rename fun to _func not work. put it into the skiplist

https://github.com/PaddlePaddle/Paddle/commit/038ffc795025170e8cda74bcd473b46301b9a1c0
test=document_fix

* skip it in check api approvals

test=document_fix

save

* skip the private _variables

* print signatures wrong. now rename it to _func

test=document_fix

* 增加方法获取和执行全量api的示例代码进行测试

* start the sample code test for gpu

* should import paddle separately

* add a stdout handler, the default is stderr. the paddle_build.sh will catch the stdout content.

* add RUN_ON_DEVICE into the requires set

* if codeblok['required'] is empty, use the RUN_ON_DEVICE instead

* set the threads to 16

http://agroup.baidu.com/paddlepaddle-org-cn/md/article/4036225

* 设置默认日志级别为INFO级别

* using the logic from gen_doc.py

* using modulelist to get the all apis

* as we don't care which name is the shorttest, so fetch the first name in the all_names list

* the new list from project

* 先不启用gpu测试，先把print_signature获取不到全部API的问题解决了

* tar capi lib for publish

* add in gen_fluid_lib func

* Unify all external API error message mechanism and enhance third-party API error msg

* fix some comment

* fix some comment

* fix ninja compilation bug on windows

* polish windows ci

* polish windows ci

* update conda build script for cuda11

* update conda build script

* modified wheel name

* update conda_build

* fix error

* add cudnn8.1 for cuda11.2

* fix format error

* fix windows CI

* fix windows CI

* Remove paddle_custom_op dynamic libraries, change link to FLUID_CORE on windows, and check copy_to

* fix CI

* clear CUDA compile environment on windows

* fix Windows CI

* fix Windows CI

* fix Windows CI