* Modify the search order of dynamic library

* Modify the search order of dynamic library

As the title

* refactor check_pr_approval, allow using github login-id

2. remove the tricks for paddle.fluid.layers.ops.func

* add testcases

* simplify the test data, and added to file diff approvals

* remove a approver

* test_print_signatrues runs on a simple pipeline, no paddle installed

* testcases for print_signatrures and sampcd . python3 only.

* remove unused import directives

* remove unused import directives

* base changes for split op

* 90% of split functionality added

* full fp32 functionality

* added bf16 test

* added submemory caching

* added bf test to static mode whitelist

* minor change

* enabled split op for inference

* minor fix

* minor fix

* 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

* del py2 code2

* fix test timeout

* Add bf16 support for save and load ops

* Add bf16 test condition

* Add matmul and chagne fluid.io to paddle.static

* Reduce the test duration

* Add lookup_table_v2 BF16

* Reuse lookup table UT

* Change op_type to op_version

* Remove check_dygraph

* Remove skip_check_grad_ci

* modify reviewer, test=document_fix

* modify reviewer, 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

* Optimizing prec process on windows

* fix bug

Add 'self' parameters to function Cluster::update_pods, use variable name 'cur_proxy' instead of 'proxy' in file 'tools/get_pr_ut.py' (#33377)

* undefined variable proxy

* Cluster::update_pods lacks of parameter self

* fix c_split bug

* fix utest

* add c_embedding for tensorparallel

* fix path error on windows when precision switch is turn on

* fix error

* Update get_pr_ut.py

fix format error

* Update get_pr_ut.py

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

* fix some comment

* fix some comment

* added op cast functionality for fp32/bf16

* added newline

* added entries in static mode white list and unity build

* fixed failing tests

* changes after review

* added formatting

* upgraded tests file as reviewer suggested

* changes after review

* minor change

* fix model_benchmark ci

* ADD proto_so

* fix ninja compilation bug on windows

* polish windows ci

* polish windows ci

This reverts commit 0e5d832c.

* fix model_bhecnmark ci

* fix model_bhecnmark ci

* add complex template file

* add numtraits for complex template

* add complex template type register

* modify specify template of complex

* modify specify template of complex

* modify specify template of complex

* modify specify template of complex

* make TensorCheckerVisitor support complex type

* fix operator= error

* add complex template

* add complex template type

* add complex template type to pyarray transform

* add complex template type to pyarray transform

* remove complex type for dlpack register

* set dlpack supprot complex type

* set dlpack supprot complex type

* set dlpack supprot complex type

* remove explict for complex constructor

* add complex unit test file

* remove ut from parallel_ut list

* remove some timeout ut