* polish codes according #50813

* [getCurrentCUDAStream] Add C++ API getCurrentCUDAStream

* change get->Get

* wrap with macro

* use Get instead of get

* register fp16 and bf16 kernel for uniform_random

* fix compile

* support selected_rows

* add ut

* revert cpu

* fp16 test skip cpu

* [cinn] concat_grad

* [cinn] concat_grad

* [cinn] concat_grad build success

* [Add PGLBOX] fix unnitest

* [Add PGLBOX] fix unnitest

* [Add PGLBOX] fix codestyle

* [cinn] update by comments

* [cinn] update by comment

* [cinn] add axis check

* flash attn

* seed

* almost

* softmax

* fix workspace

* add unitest; linux only

* fix setup

* fix datatype include

* fix setup typo

* fix def scope

* new error api

* use paddle fork

* fix attr bug; complete ut

* update flash hash

* fix rng reset

* fix offset

* fix comments

* Add comments for #50886

* [Tensor Operants & Prim-Relevant] Tensor supports logical operants

* add prim dynamic unit test

* add prim static unit test

* tmp gather vjp

* support gather

* remove useless code

* fix compiling error

* fix ut

* add eager test

* add eager test

* add seed

* small change

* fix cpu error

* fix transpose op compat

* remove tensor index case

* fix prim_cinn

* small commit

* add cumsum prim backward

* small commit

* skip aixs=None test case

* fix op generante eror

* fix static test error

* remove unused code

* fix static test error

* small commit

* skip cpu float16 test case

* skip eager cpu cumsum float16 test case

* add eager and static UT

* fix ut

* add composite backward rule

* fix error

* fix type error and format error

* add try cpu+float16 test

* fix test bugs

* remove test for cpu+float16 and make y[0] be the grad arg

* add cinn test

* fix UT

* fix the wrong dim of v in test cases

* change y[0] to y[1] for grad in UT

* reshape flatten out

* Disable cinn single test

* use scatter_nd_add

* modify the reshape part of topk_grad

* delete useless build file

* to make the syntax right

* modify bug

* try use of put_along_axis

* remove cinn test

* reformat todo

* add silu composite rule

* fix code style.

* add cinn test

* fix composite grad maker code gen

* add prim in cumsum op test

* remove old test

* fix typro

* pass the static test

* fix typro

* modify optest and delete old test files

* remove normal test_top_k_op test

* fix typro

* pass axis=None test case

* buffer comment

* for debug

* add silu fp16 unit test.

* add static guard

* remove forward prim test

* remove same name axis

* modify the test_top_v2_op.py to pass all local tests

* delete the useless testcase

* fix mistake

* add more testcases to test dtype16 and dtype32

---------
Co-authored-by: NJiabinYang <360788950@qq.com>
Co-authored-by: NGGBond8488 <857631483@qq.com>
Co-authored-by: Nzxcd <228587199@qq.com>
Co-authored-by: NCharles-hit <wanghao107@baidu.com>

* Add unitest from shilong

* Add kernel code from shilong

* fix codestyle

* add broadcast_shape test

* fix unitest

* fix unitests

* fix unitest

* add 0D grad support

* add 0D grad support

* add 0D grad support

* fix 0D tensor

* fix 0D

* fix xpu 0D

* fix expand kernel

* fix xpu expand

* Fix 0D kernel

* fix 0D

* fix 0D

* fix 0D

* fix 0D

* fix XPU top_k

* cancel the modify of xpu

* add XPU 0D tensor

* fix 0D

* fix bug of logsumexp

* fix bug for logsumexp

* fix bug for logsumexp

* add support of int64 add for xpu

* add transpose support for int64

* add randperm kernel

* fix randperm

* add distribute_fpn_proposal kernel

* fix comment

* add reduce_sum_int32

* [phi] move device_wrapper from fluid to phi

* [phi] fix ‘PADDLE_ENFORCE_XDNN_SUCCESS’ was not declared in this scope

* modify name

* merge develop

* original code

* build modify

* success 2*2

* fused dim=1 failed

* success

* modify static

* success for static except dim=1

* delete log

* tmp modify

* success

* success

* add fp1664

* delete fp16 cpu test

* stop windows test

* review modify

* modify tanh test

* modify tanh

* fix_conflixt

* modift static prim

* fix_conflict

* Update test_static_prim.cc

* update

* bug fix

* [C++ API GetAllocator] Add C++ GetAllocator interface

* move api to accurate directory

* add cumsum prim backward

* skip aixs=None test case

* fix op generante eror

* fix static test error

* remove unused code

* fix static test error

* skip cpu float16 test case

* skip eager cpu cumsum float16 test case

* add cinn test

* reshape flatten out

* Disable cinn single test

* remove cinn test

* reformat todo

* add prim in cumsum op test

* remove old test

* fix typro

* fix typro

* fix typro

* pass axis=None test case

* remove forward prim test

* remove same name axis

* support transpose and reshape

* support reshpe, transpose, cast vjp

* merge develop

* recover unused file

* remove prim base

* support problem

* remove additional status settting

* remove additional status settting

* fix ut

* fix ut

* fix ut

* fix no grad branch

* add more test

* disable fp16 in cpu

* fix test

* [XPU] add fp16 support for shape op.

* [XPU] add fp16 support for lookup_table_v2 op.

* update approval list: add qingshu's id.

* remove utils

* remove utils

* remove utils

* remove utils

* Update get_data_from_tensor.h

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_kernel.cc

* Update rnn_grad_kernel.cu.cc

* Update rnn_functor.h

* Update rnn_kernel.cu.cc

* Update rnn_kernel.cc

* remove utils

* Update rnn_functor.h

* remove utils

* remove utils

* remove utils

* remove utils

* remove utils

* Update rnn_functor.h

* Update unsqueeze_op.h

* Update utils.h

* roll back

* Update tensor_utils.h

* Update tensor_utils.h

* Update tensor_utils.h

* Update tensor_utils.h

* Update tensor_utils.h

* use TensorToVector

* use TensorToVector

* use TensorToVector

* use TensorToVector

* use TensorToVector

* Update rnn_kernel.cc

* Update rnn_grad_kernel.cc

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* add TensorToVector

* roll back

* Update tensor_utils.h

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update tensor_utils.h

* Update rnn_kernel.cu.cc

* Update rnn_grad_kernel.cc

* Update rnn_kernel.cc

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_grad_kernel.cc

* Update rnn_kernel.cc

* TensorCopySync to phi::Copy

* fix codestyle

* rnn_kernel.cc: add ;

* replace all GetDataFromTensor with phi::GetVectorFromTensor

* delete include of util.h

* [Tensor Operants & Prim] Tensor pow API uses elementwise_pow

* unittest change to fill_constant+elementwise_pow

* conflict

* add UpdateSliceAttrs

* [XPU] bind op scatter_nd_add

* [XPU] add more data type for op: clip, transpose2 & assign_value

* register bfloat16 datatype for squared l2 norm

* register bfloat16 datatype for softmax with upper triangular mask

* register bfloat16 for tril triu cuda kernel

* implement of matmul using cublasLt instead of cublas

* Update matmul_kernel_impl_via_blasLt.h

---------
Co-authored-by: Nzhangbopd <1299246947@qq.com>
Co-authored-by: NBo Zhang <105368690+zhangbopd@users.noreply.github.com>
Co-authored-by: NLiu Yiqun <liuyiqun01@baidu.com>

* Enable matmul + bias fusion in fused_gat_attention.

* Add a variable to control whether using fused matmul + bias.

* rename elementwise_heaviside to heaviside

* delete __init__.py

* fix bug

* support 'backend' in static ops

* change bitwise_xx comment in python

* change bitwise_xxx comment in python

* change 'backend' and 'data_type' in GetExpectedKernelType