* 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

* [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>

* 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

[DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad (#41451) (#41893)

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

* Fixed elementwise issue

* Addressed CI failures

* Add core.eager.StringTensor __init__ which pyarray args can be passed

* Add the numpy method of core.eager.StringTensor

* revert tensor.to_string modification

* Add ToPyObject for core.eager.StringTensor

* Add debug string for core.eager.StringTensor

* Remove place args of core.eager.StringTensor temporarily

* Fix check string_tensor error

* remove dtype of core.eager.StringTensor

* add core.eager.StringTensor unittest

* remove pstring from VarDesc

* Add InitStringTensorWithStringTensor

* Remove to_string modification

* Remove zero_copy arg from StringTensor creator

Add paddle.sparse and three Sparse API (#41276)
Add Sparse API to_dense, to_sparse_coo and values (#41394)

cherry-pick PR#41276 到 release/2.3

    添加路径：paddle.sparse，paddle.sparse.functional，paddle.sparse.layer
    添加API：paddle.sparse.sparse_coo_tensor（用于创建COO格式的Sparse Tensor ）和 paddle.sparse.sparse_csr_tensor（用于创建CSR格式的Sparse Tensor ）
    添加API：paddle.sparse.ReLU

* add multi_dot,maxout,multiplex yaml

* add code converage

* [Yaml]add exp yaml (#41217)

* add exp yaml

* add exp api in test case

* add determinant yaml

* fix exp op unittest

* change test class name

* modify api name

* compacted with raw api

* fix det api

* add python_api

* add test eager for determinant op

* [Yaml] Add assign yaml (#41428)

* add assign yaml

* add assign api

* add assign backward api

* add assign

* add assign yaml

* add assign

* assign yaml

* add assign raw kernel and use assign_raw in yaml

* merge develop branch

* add missing python_api

* exchange assign and assign_raw kernel name (#41625)

* exchange assign and assign_raw kernel name

* fix register error

* [Yaml]add gaussian_random yaml and test case (#41312)

* add guassian random yaml

* add gaussian_random yaml and test case

* fix error modify of full yaml

* import in_dygraph_mode

* import _in_legacy_dygraph

* add place arg in api

* import __current_expected_place

* fix test_egr_python_api failed case

* add test case

* add cast for NormalInitializer

* fix test error

* fix test error

* rm unsed check code

* fix test error in test_initializer_nn

* modify by review

* [Phi]fix split error when sections has 0 size and add test case (#41708)

* fix split error when sections has 0 size and add test case

* fix test case

* Add yaml for matrix rank op (#41466)

* modify matrix_rank

* add matrix_rank shape

* add matrix_rank shape

* Add yaml for matrix_rank OP

* Add UT
Co-authored-by: Nzhoujianqian <15205085056@163.com>

* Add yaml for eye OP (#41476)

* [cherry-pick] Add yaml config for matrix_rank, eye, deformable_conv and
deformable_conv_v1 OPs
* Add yaml for deformable_conv and deformable_conv_v1 OPs

* Add UT

* Add to skipped_phi_api list for infrt
Co-authored-by: Nzhoujianqian <15205085056@163.com>

* fix_ci_problem3

* support windows no default error

* ad conj flip yaml

* add flip conj pixel shuffle

* gather op

* add mod

* [Yaml] final state for uniform and uniform_random