* Add functor_primitives.h for kernel primtive api

* fix replicate pad when input size is 0

* add unit test

    The code of this PR can only support CUDA 11.2. Currently, CI does not have GPU with CUDA 11.2 , and all tests will be skipped automatically.

    The new OP is paddle._C_ops.sparse_attention. Regarding the work of the python API, it will be resolved in a follow-up PR.

    The code of this PR lacks tests on dynamic graphs and static graphs, and will be added in subsequent PRs.

* fix async_read bug

* change index place to cpu

* add tensor size judge

* add async_read & async_write test

* fix bug in async_write

* fix mac py3 ci

* fix bug for cpu version paddle

* fix windows ci bug

* change input argument error type

* change const_cast to mutable_data

* add async_write out-of-bound check and consumate error hint

* fix a small bug for dst_tensor

* add docs and refine codes

* refine docs

* notest,test=windows_ci

* fix windows ci

* fix require

* fix code-block

* add core.is_compiled_with_cuda()

* [WIP]Verify the correctness of graph rewrited by GeneratePass, test=develop

* add delete subgraph and unittest, test=develop

* check simple pass, test=develop

* fix coverage, test=develop

* limit with input_spec via Paddle API, test=develop

* Fix stop_gradient in RunProgramOp

* fix reference

(cherry picked from PR #36095)

PR主要功能：支持C++开发注册GeneratePass，简化针对fusion等子图优化场景开发方式。

向PaddlePaddle中的线性代数库添加eig算子，该算子计算一般方阵的特征分解。
cherry-pick 自#35674.

ATT, cherry-pick #36160

* Initial Commit

* fix py2 error

* fix wrong words and doc

* test=document_fix

* fix _gpuDeviceProperties

* fix unique unstack dim 0

* fix unique_op format

ATT, cherry-pick #36098

cherry-pick from #35352

Add new detection api paddle.vision.ops.psroi_pool and paddle.vision.ops.PSRoIPool

The AdamW optimizer modify the op from adamw to adam in pr35521, this is a inappropriate modify. Modify adam to adamw in AdamW.

When users use gumbel_softmax, they can use paddle.seed() in python for fixed seed.

cherry-pick #35916，CPU前向计算将Eigen替换为Lapack，修改linalg暴露规则

This PR added det and slogdet API to release/2.2
It is cherry-pick from #34992 and #36013

[cherry-pick] Add function comments and instructions to the Primitive API

This PR supports linalg.solve calculation for linear algorithm module of Paddle. One may call paddle.linalg.solve to use it.

* add randperm_op_npu

* fix test_set_value_op_npu

This PR implements the kernel of "eigvals" OP with the Lapack library, which has a better performance than the previous Eigen library.

Add basic Cost Model, it uses executor to run program and profile it to get op time.

This is an early basic version, we will add more functions in the future.

* update xpu version

解决Windows中CUDA11.2编译出错的问题。
cherry-pick #35941

cherry-pick #35812，修复Eigh OP

* Pass compat of conv_transpose_bias_mkldnn_fuse_pass

* Fix a bug of strided_slice op, about the axes parameter access memory out of bounds

* Fix a bug of transpose op, about accessing memory out of bounds of the perm param

* op:transpose_op supports bool type

 [Cherry-pick 2.2] Correct the return type of elementwise kernel to avoid many compiling warnings. (#35839) (#35868)

Cherry-pick #35839