* 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

* create KernelMinMax to optimize the performance of histogram op in GPU

* change to block and warp wise operation

* remove the time in DtoH

* fix a bug

* fix shared memory over usage in embedding grad kernel on determistic mode

* use IdT as interger dtype

* add fp_bf for pool_max_withidx

* fix some error

* fix error

* codestyle error

* fix masktype

* fix input bf type

* input bf dtype convert error

* back to convert input to bf16 first

* fix convert error

* fix bf16 grad check

* add 0D support for trace, test=allcase

* fix trace gpu kernel 0d error, test=allcase

* fix windows error, test=allcase

Add paddle.geometric.weighted_sample_neighbors API

* delete overwrite from gather_grad

* fix

* Update gather_grad_kernel.cc

* remove axis from elementwise_grad

* Update elementwise_sig.cc

[Zero-Dim] support output 0D for is_empty/as_complex/inner/dot/rank/tensordot/squeeze_/static.accuracy/static.auc/metric.accuracy, test=allcase (#52850)

* [Zero-Dim] support output 0D for is_empty/as_complex/, test=allcase

* [Zero-Dim] support output 0D for is_empty/as_complex/, test=allcase

* add test case

* modify dot/metric.accuracy/static.accuracy/static.auc

* modfiy inner/tensordot bug

* test 9 api

* [Zero-Dim] support output 0D for is_empty/as_complex/inner/dot/rank/tensordot/squeeze_/static.accuracy/static.auc/metric.accuracy, test=allcase

* fix bug

* support output 0D for is_empty/as_complex/inner/dot/rank/tensordot/squeeze_/static.accuracy/static.auc/metric.accuracy

* code style

* fix bug

* fix test_dot_op bug

* fix accuracy bug

* fix bug

* fix bug

* fix bug

* fix bug

* codestyle

* fix dot bug

* fix dot bug

* fix dot bug

* code style

* fix dot bug

* fix dot bug

* fix dot bug

* fix dot bug

* fix dot bug

* fix dot bug

* modify code

* add deterministic embedding grad kernel

* minor change

* minor change

* Add new FLAG to enable deterministic embedding

* Update embedding deterministic kernel

* add flash randomness control

* fix VLOG undefied

* first commit

* restruct c++ interface to divide linear from matmulwithcublaslt

* finish building in cublaslt impl

* fix code bugs

* fix host cost

* add some changes

* fix graph_reindex

* fix

* Update op_compat.yaml