* Add bfloat16 softmax and gelu

* Add pass attr bfloat16_enabled_op_types

* Changes from review

* add retry for dygraph parallel socket bind

* change to loop always

* fix writing error

* Fix bug in convert_call

* refine unittest

* refine code

* refine code

* fix unittest failed

* add assert

* - Added sum bf16 oneDNN

test=develop

* - Fix to UT of sum bf16

test=develop

* add paddle.io.ComposeDataset & paddle.io.ChainDataset. test=develop

* rm cv2 dependence of normalize

* add conv_bias pass version test

* update according to reviews

modified sample code of CTCLoss & ctc_loss by remove disable_static() & print([.*].numpy()) & alias, test=document_fix (#28403)

* update DataLoader doc. test=develop

* skip reader op in mixed_precision decorator

* add ut

* 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.