* support high order differential with data parallel overlap

* update unitest

* fix unique_kernel bugs

* fix unique kernel cu bugs

* add python final state

* fix bug

* fix bugs

* fix bug

* fix bug

* revert impl, final state mul not support selected rows

* fix softmax use cudnn error

* add softlable false unitest

* revert loss.py

* fix bug fix

* fix utest

* fix utest

* fix utest

* fix log

* fix random utest

* [DOC FIX]fix code demo of auc

* [doc fix] fix doc of auc

* make tensor_util contains no cuda code

* refine isfinite

* revert ut

* move isfinite function to its op

* fix test

* fix compile

* std::isnan is not defined for int type on windows

* fix windows compile

* fix fp16

* fix rocm compile

* revert gradient node

* fix arm compile problem

* fix format

* fix ci error

* add legacy_api.yaml

* set merged_momentum inplace only

* support inplace optional<vector<tensor>>

* add dygraph_mode api

* optimize TensorToConstDenseTensorPtr

* 【Hackathon No.34】优化 poisson op

* [poisson] code style fix

* modify code style

* prevent from big number

* modify code style

* modify code style

* modify import

* modify import

* modify code style

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support fp16 of adam operator in xpu environment. test=kunlun

* support fp16 of adam operator in xpu environment. test=kunlun

* support fp16 of adam operator in xpu environment. test=kunlun

* support selected_rows kernel for multiply in dygraph

* refine the trace python api

* fix check input

* fix check input

* fix check input

* Adapt minlength attr for bincount

* add kernel dtypes check

* polish details

* fix print info, test=document_fix

* skip repeated kernel, test=document_fix

* remove test kernel, test=document_fix

* fixed1

* fix 2

* fixre

* test complext var

* delete logic no needed

* fix to_tensor_static

* code style

* del

* fix

* optimize

* update xccl lib

* change user name to pass cla check

* add ci check for api_compat.yaml

* add more comment

* while support for python container.
It is convenient to convert more dynamic graph codes into static graphs.

* cond support python container

* add quant pass

* update the document for the api multiply

* update the document for the api multiply; test=document_fix

* update the document for the api multiply; test=document_fix

* update the document for the api multiply; test=document_fix

* note;test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>