* relocate regularizer.py

* fix bug

* fix bug

* fix bug

* relocate the import

* replace _regularization_coeff with coeff

* remove the L1DecayRegularizer and L2DecayRegularizer

* update

* Update backward.h

* Update composite_backward_api.h

* Update tensor_utils.cc

* Update backward.cc

* update

* stype

* update

* add ctest

* code stype

* added base code for i0 and i0e

* added grad base code for i0 and i0e

* added i0 and i0e python code

* added ops and backward yaml config

* added i0 and i0e cpu kernel, but not test.

* added i0 and i0e code and unitest files

* added test files

* added i0/i0e gpu implementation code

* updated code style

* updated code style

* fixed unitests code

* updated i0 with eigen3

* fixed bug and added more test cases

* refactor: fixed static graph bug

* refactor: removed i0 and i0e from op_compat

* refactor: updated code style

* refactor: updated op_compat.yaml

* refactor: updated op_compat.yaml

* refactor: fixed op name mapping and optimize unittest case

* refactor: manually implement i0 / i0e

* refactor: added grad kernel for i0 / i0e,didn't finish

* Update math.py

* refactor: added equation to doc in English and added comments for computing i0 / i0e gradient

* refactor: removed eigen implementation

* refactor: finished i0 / i0e cpu and gpu op

* refactor: updated code style

* fix: find  a bug but not fix

* fix: incorrect unittest cases

* update: updated code style and remove my file

* update: updated unittest case

* fix: fixed sign error

* fix: fixed mistakes when merging

* refactor: updated code style

* refactor: remove unused code

* refactor: updated code style

* [Dy2St]Fix x grad names when high order gradient

* Polish error msg

* Add inputs var to backward in dy2st

* Fix error

* Get grad names for backward API

* Fix save load

* Polish code

* Add ut

* [prim] fix not support optional grad bugs in higher order autodiff

* [prim] remove duplicate fill_any_like caused by infershape_for_composite

* fix _strip_grad_suffix_ bugs in higher-order autodiff

* [prim] create output for test_static_prim.cc

---------
Co-authored-by: N0x45f <wangzhen45@baidu.com>

* move DataLoader to paddle.io. test=develop

* add index_put api

* fix value broadcast in backward and add test case in static

* add timeout=120s for index_put

* add op_compat for index_put

* add inplace index_put test

* add test case when index tensor in indices is int32 when indices.size less than x.dims

* add index_put api backward in cpu place

* add backward test case

* refactor code to delete some duplicated code

* replace reshape with resize for decrease extra memcpy

* add datatype flag in backward yaml

* fix bug in documentation

* Update python/paddle/tensor/manipulation.py

---------
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* revert p2p communication for xpu

* pp for npu

* update

* update

* fix xpuplace

* add ut for sync send

* Revert "fix xpuplace"

This reverts commit f89c1d7622426686bc153a3414a42c39e0f4a647.

* add ut for pp sync send

* rm unusable ut

* update

* add logaddexp

* update

* add 0D test for linalg and linalg.cond

* remove p_norm test

* Update test_zero_dim_tensor.py

* Update test_zero_dim_tensor, test=allcase

* add 0D op test for cond and pnorm,test=allcase

* fix conda error

* add complex support for  optest

* add complex grad test

* append one

* move some debug info

* move some debug info

* move some debug info

* move some debug info

* add more complex test

* Fix naming ambiguity

* Revert "add more complex test"

This reverts commit dbcb0516b8e53ba42e2d6089878a39b395345969.

* change backward gradient, add TODO

* fix strided_slice ut

* remove check_dygraph

* Add fused_gate_attention API.

* Implement FusedDropout API.

* Fix doc and add unittest.

* Skip for non-gpu device.

* Add unittest.

This reverts commit 9c406531.

* modify concat_grad add sum comp rule

* cast and by_pass modify

* only modify by_pass

* modify by_pass

* Add addmm tests

* Fix code

* add 0d support for dist, trace, paddle.linalg.cond test=allcase

* add_0d_output_support_for_det

* test=allcase

* support_0d_output_for_linalg.norm

* support linalg.norm 0d output, test=allcase

* fix 0D test

* fix zero dim test, test=allcase

* fix 0D test

* fix tets,test=allcase

* fix error,test=allcase

* fix errors ,test=allcase

* add static backward , test=allcase

* add static backwward test, test=allcase

* fix pr-ci-build error;test=document_fix (#53060)

* [Cherry-Pick] Unique support float16&bfloat16 (#53023)

unique支持float16和bfloat16数据类型，并完善相关单测。

* slogdet_support_0D_output

* add new case

* fix tests, test=allcase

* fix p_norm related test, test=allcase

* fix some err, test=allcase

* test=allcase

* move out trace

* open some case, test=allcase

* fix norm all case, test=allcase

* fix some test error, test=allcase

* fix typro,test=allcase

* fix test err, test=allcase

* test=allcase

* test

* fix test error, test=allcase

* fix test error, test=allcase

* fallback norm, test=allcase

---------
Co-authored-by: Ntianshuo78520a <707759223@qq.com>
Co-authored-by: NZhang Zheng <32410583+ZzSean@users.noreply.github.com>

* test=allcase

* test=allcase

* test=allcase

* test=allcase

* test=allcase

* fix test cases, test=allcase

* fix test cases, test=allcase

* modify the test_squeeze to not use Tensor type axis, test=allcase

* add grad check for unbind and unstack, test=allcase

* check for squeeze axis tensor type, test=allcase

* fix bug, test=allcase

* 'fmin'

* 'fix'

* 'fix'

* add mul doubel grad

* add sub_double_grad

* add add sub high test

* add mutiply test

* modify other unsqueeze

* delete api.yaml

* only for make ci run

* midify unsqueeze

* modify unsqueeze

* tmp

* modify operants gen

[Dy2St]Get grad names when call append backward to fix high order gradient (#53250)