* Add i1 and i1e op

* resolve merge conflicts

* add bf16 for mode

* remove random seed 666

* try to fix op_type error

* test for me

* try to fix op_type

* fix redundancy code

* add fp,bf for lastdim

* fix some error

* simplify code

* fix shape error

* optype error

* fix skipif bf16

* modify lerp_kernel.cu

* pre-commit

* fix some CI issues

* fix some CI issues

* fix some CI issues

* fix some CI issues

* fix some CI issues

* fix some CI issues

* fix some CI issues

* fix some CI issues

* Add files via upload

fix some CI issues

* update

* fix bug

* test

* test

* update

* update mutable_data

* fix bug

* update

* fix bug

* update output type reg

* update

* update

* [phi]mv StftKernel to phi

* [phi] fix KernelSignature

* [phi]fix arr error

* [phi] Disable check_dygraph

* [phi]fix include

* [phi] rewrite mutable_data, add output register

* [phi] fix  Alloc

* [phi] fix Alloc again

* [phi] fix mutable_data

* [phi] fix onesided_out Resize

* update

* Update backward.h

* Update composite_backward_api.h

* Update tensor_utils.cc

* Update backward.cc

* update

* stype

* update

* add ctest

* code stype

* move OneHotRawKernel to legacy

* fix

* 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

* add rules

* modify silu_grad input

* modify kernel signature

* modify kernel signature

* code style

* review

* sequence_mask functionalization

* fix sequence_mask test

* update

* update

* 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>

This reverts commit 9e9b705a.

* 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

* Rename randint_raw and move it to legacy

* Update fetch_v2_op.cc

* Update randint_kernel.cc

* Update randint_kernel.cu

* Empty Commit to setup deployments

* move UniformRawKernel to legacy

* Update uniform_kernel.cc

* Update uniform_kernel.cu

* Update uniform_kernel.cc

* Update uniform_kernel.cu

* Update uniform_kernel.h

* Update uniform_kernel.cc

* Empty Commit to setup deployments

This reverts commit 9c406531.

* Add addmm tests

* Fix code

* change judgement for DropoutGradGPUKernelDriver

* add UnrollerWithoutVecSize and after this Loaddata to be refined

* pass unittest

* use same unroller with XPU

* BroadcastWithInt64Index

* BroadcastDataLoader template partial specialization

* fix compile errs in ROCms

* clean ElementwiseT and InT for BroadcastKernel

* default axis and clean inT

* remove redundant fast divmod computation

* optimize drop_nd & drop_nd_grad

* optimize BroadcastDataLoader bf16 fp16

* rm InT etc. after merge develop

* delete constexpr for windows ci

* fix conflict

* fix conflic with develop

* fix conflic

* new clean

* clean

* 'fmin'

* 'fix'

* 'fix'

* [phi] move sequence_pool kernel to phi

* mv kernels impl

* fix parameter error

* clean include

* fix compat filename

* [phi] move fluid sequence_pool_grad to phi

* [phi][compat] sig rm GradVarName

* [phi] fix sequence_pool out type

* [phi] rm impl, add const string

* [phi] fix const str

* fix sequence_pooling cmake

* [phi] mv sequence_pooling_test

* [phi] fix grad sig

* [phi] fix sequence_pool is_test error

* [phi] fix sequence_pooling gpu include

* [phi] mv to impl

* [phi] fix SequencePoolFunctor cu include

* [phi] modify out max_index int32_t

* [phi] add pooltype mapping determine

* [phi] fix sequence_pool_sig

* [phi] fix sequence_pool_sig sum

* [phi] try ci

* [phi] fix max_index optional

* support fp16 for maxout op

* format code

* change api

* add test for static float16

* format code

* formatting code

* atol alignment

* experiment—1

* experiment-2

* experiment-3

* format code

* optimize embedding deterministic mode

* fix compile error

* change FLAGS_cudnn_deterministic to int64

* fix 700 error

* add ut

* fix ut

* fix ut

* fix win32 ci

* fix flags with PHI_DEFINE_EXPORTED_int64