cherry-pick #42140

* [Eager] Support div scalar in eager mode

* Updated and remove debug logs

* Remove list, use 'or' directly

* Remove useless statement

* fix kenrel name apperance (#42071)

* Reduce performance influence by record event in python (#42040)

* optimize performance

* fix

* improve coverage

* fix

* fix

* [Eager] Fix CastPyArg2scalar for max value of int64 (#42098)

* [Eager] Fix CastPyArg2Scalar in Long case

* Add more test cases for paddle.clip

* Use PyLong_AsLongLong

* Fix merge conflicts

* add _grad_name and _grad_value for eager tensor

* fix paddle_enforce

* fix paddle_enforce 2

* fix grad_name

* _grad_value return lodtensor rather than tensor

* fix

* sharding_for_eager_tensor (#41415)

* fix_sharding_copy_right (#41849)

add mixed-precission support for ipu

cherry-pick from #41733

* modify xpu.cmake,*test=kunlun (#41832)

* modify xpu.cmake,*test=kunlun

* modify xpu.cmake,*test=kunlun

* modify xpu.cmake,*test=kunlun

* modify xpu.cmake,*test=kunlun

* support bilstm,*test=kunlun

* [cherry-pick]support multi_layer of bilstm,*test=kunlun

* fix_nccl_barrier (#41970)

* be compatible with the old version of alltoall (#42007)
Co-authored-by: NBaibaifan <39549453+Baibaifan@users.noreply.github.com>

* fix utest

* fix time

* double accessor and show_scale

* double accessor and show_scale

* rename

* fix bug in pslib config

* add unittest

* [PHI] Support some c++ api in paddle namespace (#41778)

* support some c++ api in paddle namespace

* change c++ api namespace in custom op

* [Phi] Support setting size of vector<Tensor> for out in yaml (#41576)

* support setting vector out size in yaml

* support setting size of vector<tensor> for out in yaml

* add data transform config for shape and size (#41909)

* fix api_gen bug

* [Eager]Fix full_like/clip with np.generic type as attribute

* support numpy genertic

* remove usless code

* cherry-pick python/paddle/utils/code_gen/backward.yaml

* remove unsupported yaml
Co-authored-by: NZhanlue Yang <jim19930609@gmail.com>

* polish tensor api details (#41971)

* [CustomOp] Fix custom op pinned input error (#41972)

* fix custom op pinned input error

* fix compile error

* fix inference custom op (#41999)

* resolve conflict

* refactor mp in eager mode

* update

* update

* add uts

Add AutoTune to reader.py for DataLoader

* support no_need_buffer in eager_fluid state

* change no_need_buffer info from fwd_info to bwd_info

* fix CI fail, gru_unit donnot use no_need_buffer

* fix conflict between no_need_buffer and dispensable

* use tensor.define in dispensable

* solve conflict

* solve conflict

* update (#41636)

* fix bug for eager mode distributed training (#41841)
Co-authored-by: Nlilong12 <lilong12@baidu.com>

[Cherry-Pick]Fix expand_sig infershape BUG under static graph mode and NeedTransformPlace behavior if set skip_transform in yaml (#41973)

* [Phi]Fix expand_sig infershape BUG under static graph mode (#41936)

* [Phi]Fix expand_sig infershape BUG under static graph mode

* [Phi]Fix expand_sig infershape BUG under static graph mode

* [Phi]Fix unittest

* [Phi]Fix unittest

* [Eager]Fix NeedTransformPlace behavior if set skip_transform in yaml (#41920)

* [Eager]Fix NeedTransformPlace behavior if set skip_transform in yaml

* add unittest for full_like

* fix unittest

* fix divide zero error when cpu only (#41794)

* reduce performance influence by RecordEvent in Python (#41822)

* reduce performance influence

* add unit test

* fix

* Rebase for profiler statistic ratio (#41939)

* fix according to suggestion

* add kernel summary

* improve coverage

 cherry-pick #41884 

* add rsqrt yaml and unittest (#41443)

* Add expand equal all yaml (#41540)

* add expand, poisson

* add poison grad

* add expand equal_all poisson triangular solve yaml
Co-authored-by: Nhong <43953930+phlrain@users.noreply.github.com>

* [Eager] Fix numpy interface for constructing empty tensor

* Fix CI, construct empty tensor

* Modify empty tensor's shape from [] to [0]

* Add more test for constructing empty tensor

* [Eager] paddle.sort interface use final_state

* Add eager test case for paddle.sort()

Cherry-pick #40338 #41741 #41313

* [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad

* Fixed elementwise issue

* Addressed CI failures

* [DoubleGrad] Enabled test_imperative_triple_grad test cases under eager_mode

* [DoubleGrad] Enabled test_autograd_functional_dynamic.py under eager mode

* Enabled more test cases

* Fixed performance issues

* Fixed minor issue

cherry-pick the PR#41586 to realese/2.3

* [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad

* Fixed elementwise issue

* Addressed CI failures

* [DoubleGrad] Enabled test_imperative_triple_grad test cases under eager_mode

* Fixed minor issues

* add eids result for graph_sample_neighbors

* fix bug

* move fisher_yates sample to warp

* add cpu eid output

* delete comment

* delete comment

* change nullptr placeholder

* optimize sample kernel

* fix mutable_data