* remove additional warnning in layer.to

* remove additional warnning in layer.to

* remove additional warnning in layer.to

* remove additional warnning in layer.to

* remove additional warnning in layer.to

功能：本PR的目标是提高attention模块的计算性能。
为了减少框架层对op的调度开销，本PR通过在C++层手动实现attention模块，对外提供attention 大op；
为了减少防存开销，本PR采取了两种优化方法：
（1）在q,k,v计算时通过共享输入X，将该处的gemm，transpose和bias add从三次调用减少为一次；
（2）使用kernel融合优化技术，在不同cuda kernel之间通过寄存器传输数据；

* cache exception in child thread

* add ut

* fix ut

* add align for WorkQueue

* add spinlock

* merge develop

* merge

* Add EventsWaiter

* update

* update

* update Error MSG

* update EventsWaiter

* Add Cancel For ThreadPool

* Add UT for Cancel

Update `cond` English document

将 #35905 和 #35843 PR中新增的的python api接口移到incubate目录下。

* [NPU] fix argsort op, test=develop

* remove debug files, test=develop

* fix typo, test=develop

* address review comments, test=develop

* fix wrong trt dim when input dim is 2

* update leaky_relu and instance_norm converter unit test

* add instance_norm input dim check

* Fix the null ptr bug in build_cinn_pass.

* Add test for empty&ctrl var.

* move signal apis

* move fft.py and signal.py to paddle/, fix typos

* fix relative imports from fft.py and signal.py

* fix typos

[Paddle-Inference]Add MatmulV2ToMatmul convert Pass, fix (matmul_v2, matmul, mul) convert pass, fix (matmul, mul) op_teller (#36652)

* new_Matmul2ToMatmulToMul

* new_Matmul2ToMatmulToMul

* fix paddle_pass_builder

* fix paddle_pass_builder

* fix paddle_pass_builder

* tem

* tem

* Add MatmulV2ToMatmul convert Pass; MatmulV2ToMul convert Pass

* Add MatmulV2ToMatmul convert Pass; MatmulV2ToMul convert Pass

* add matmul_broadcast_unitest

* fix op_teller

* optimize fast tokenizer

* In cpu parallel using gloo, add various length support for SelectedRows

* fix bug

* fix bugs

* fix by code review

* remove timeout

* fix pool2d convert case

* add pool2d convert test case for trt6

* [NPU] modifications for model ernie-1.0

* rollback 503003 and change cast to dtype

这个PR是fused_feedforward反向的代码

相关kernel实现：fused_dropout_act_bias, fused_residual_dropout_bias, fused_layernorm_residual_dropout_bias

fused_feedforward是一个融合算子，该算子对transformer模型的feed forward层的算子进行融合和封装，使得前端只呈现一个接口，通过融合减少部分访存和kernel launch的时间，以此提升性能。

* Add bincount op

* upload cpu version

* fix unitest

* fix unittest

* fix unittest

* fix en doc

* add more test

* fix en doc

* add more test case

* fix test

* fix input vailidation

* fix input check

* fix unittest

* fix test

* fix en doc

CI build PR and dev whl

* Init the functions of CinnCompiler.

* Add the unit test for CinnCompiler.

* Fix some compilation errors.

* Update the UT of cinn_compiler.

* Use Decomposer&OpFusion passes in CinnCompiler::CompileGraph.

* Update some comments.

* Uncomment some includes in build_cinn_pass.cc.

* Use refs instead of ptrs as returned types of FindGraph & Compile in
CinnCompiler.

* Use the merged CinnGraphSymbolization functions in CinnCompiler.

* fix bug of check_inf

* fix allreduce

* add some ops to train ssd on kunlun

* add some ops to train ssd on kunlun

* add some ops to train ssd on kunlun

* update cast op unittest

* update cast op unittest

* update cast op unittest

* update xpu cmake

* update cast unittest

* add align for WorkQueue

* add spinlock

* merge develop

* merge

* Add EventsWaiter

* update

* update

* update Error MSG

* update EventsWaiter

这个PR只包含fused_feedforward前向的代码。

相关kernel实现：fused_dropout_act_bias, fused_residual_dropout_bias, fused_layernorm_residual_dropout_bias

fused_feedforward是一个融合算子，该算子对transformer模型的feed forward层的算子进行融合和封装，使得前端只呈现一个接口，通过融合减少部分访存和kernel launch的时间，以此提升性能。

* add cinn graph symbolization

* fix some bug

* add paddle scope to cinn scope

* add paddle scope to CINN scope in Symbolization, and add feed op when build cinn pass

* fix some bug

* fix some bug by review advices

* optimize code problem

* revert build_cinn_pass and move the change to https://github.com/PaddlePaddle/Paddle/pull/36503

* fix some bug after co-compilation

* perfect single test script

* remove scope and rename feed_target to input_tensor

* using std::unordered_map instead of absl::flat_hash_map

* fix single test bug

* revert to preverion for WITH_CINN has add in later PR

* full error information for CI

* full enfore information for CI pass

* disable padding if dynamic shape

* add parentheses

* correct

* add file check

* add ut

* add transformer of paddle desc and cinn desc

* change LOG(FATAL) to PADDLE_THROW for ci

* full error imformation for ci

* fix some problem as review advice

* fix some bug

* move vat type utils to tansform_desc header file

* add if NOT WITH_CINN control whether compile

* build_strategy check whether open WITH_CINN

* add control WITH_CINN in cmake

This PR added some changes to match the CINN change for compilation. It also tried to fix JiangCheng's Problem in PR: https://github.com/PaddlePaddle/Paddle/pull/36100

These changes include:
1. Set `CINN_GIT_TAG` to a newer tag
2. CINN now just `make cinnapi -j`
3. We have to add `-DPY_VERSION=${PY_VERSION} -DWITH_TESTING=ON` to CINN cmake args
4. For CINN's third party dependencies, we could just include headers without target_link_libraries
5. Moved `cinn.cmake` from `paddle/cmake` to `paddle/cmake/external` to match old style. External folder contains `lite`, which is the same level of `cinn`
6. CINN added `-DNAMESPACE=cinn_gflags` in `gflags.cmake` to have different gflag namespaces between CINN and Paddle. It solved re-define problem.
7. Change namespace of `::google::` in gflags to `::GFLAGS_NAMESPACE`

* slice

* add UT