* add conv_bias pass version test

* update according to reviews

* add broadcast_shape api

* add ut

* follow comments

* add example code, test=dodument_fix

* update example code, test=document_fix

* enhance the op_version_registry, test=develop

* add unittests, test=develop

* enhance the op_version_registry, test=develop

* fix bugs, test=develop

* revert pybind_boost_headers.h, test=develop

* fix a attribute bug, test=develop

* retry will not be executed when the number of failed ut is greater than 20

* add log display

* fix some error

* fix some error

* fix some error

* fix some error

* fp16 result ok

* change -DWITH_NVINFER_PLUGIN toconfig.EnableTensorRtOSS

* auto detect special slice op converter for ernie with trt oss

* ernie oss only support fp16

* fix special_slice_plugin serialize bug

* matmul in tensorrt ok

* ernie unittest ok

* add matmul tensorrt unittest

* remove demo code

* add musl docker build script

* rm space test=document_fix

* fix some docs and types errors test=document_fix

* pool2d cuda kernel supports fp16

* fix compile issue of template

* add ut

* Add rnn_op.
test=develop

* Fix rnn_op grad maker's drop_empty_grad.
test=develop

This PR is follow up of #28213. On that PR we tried to decrease GPU usage, however the CI still randomly failed. So I added retry logic for the initialization of nccl and cusolver. If the initialization failed, we can retry to avoid the random failure.

* add generate_proposals_v2 op

* update version pybind to v2.4.3, test=develop

* update unittests, test=develop

* enable infer model running CAPI

* output size should bigger than 0

* add op_function_generator for box_coder

* fix format

* 01:Modify the shell script according to the specification

* 01:Modify the shell script according to the specification

* Enhance multiclass_nms to support LoD for dygraph mode

* fix some error in multiclass_nms

* update GetLodFromRoisNum to GetNmsLodFromRoisNum

test=develop

* fix judge bug of errorlevel

* fix some error

* update matrix nms op to api 2.0

* modify code according to review

* add fuse_bn_add_act pass

* add multiple exception type

* define all exception & polish compile pystack

* mapping paddle error to python exception

* polish static mode error format

* fix failed unittests

* fix dytostatic test_error

* fix check_nan_inf failed

* add unittest for coverage

* revert some code try to solve compile error

* refactor enforce & error change

* polish code & add unittest

* Fix xpu notest;test=kunlun

* fix

* test=kunlun

* test=kunlun