* [cmake] add third party jitify cache

* fix bug

* fixed

* fix bug

* Clarify cinn/ir dirs [Part1]

* addition of cinn/ir/op dir

* change header inludsion of ir/ir_operator.h to ir/op/ir_operator.h

* merge with develop changes

* relocate libschedule_desc_proto.a

* remove extra ir_schedule_error.cc

* addition for schedule/ir_schedule_error files

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* remove rocksdb change

* fix

* fix

* fix

* fix lite

* fix

* Update lite.cmake

---------
Co-authored-by: Nrisemeup1 <62429225+risemeup1@users.noreply.github.com>

In XCCL 1.0.53.6 there is a bugfix to fork scenario in RDMA, which
was the root cause of dataloader segfault problem.

* fix

* fix

* fix

* fix

* Update CUDNN Frontend API to v0.9.1
- Remove old patches
- Remove workarounds that are no longer needed

* Fix test_switch_autotune

* new group fuse pass api

* fix header

* update

* change logic of get master node to fix bug

* revert update for ReduceFuseReduce

* modify according review

* modify by review

* refine

* update

* fix code-format

* squash pick the poc code
* fix build after rebase
* fix int8 conv and fc uts
* Fix and clean-up Get_SRC_Scale_Memory
* fix floating point fc uts
* fix test_analyzer_int8_googlenet
* test_analyzer_int8_mobilenetv1
* fix int8 mobilenet v2 and v3
* fix build error after rebase
* [oneDNN] rename library version
* fix conv bias datatype
* try to fix import error
* fix rebase error
* [oneDNN] pack library into python wheel
* add MKLDNN_SHARED_LIB_3 to env_dict
* fix test_analyzer_bert
* fix fill_constant op kernel
* fix ernie and matmul op ut
* fix softplus ut
* fix conv+relu6 fusion ut
* fix hardswish fusion
* fix quant+transpose fusion ut
* fixsgd ut
* fix int8 matmul with flatten
* fix fc+scale fusion
* fix conv/matmul+gelu fusion uts
* fix rebase error
* Revert "fix conv/matmul+gelu fusion uts"
This reverts commit 47eb5e49972bd8f7271a233def9bfb3e98ce78e1.
* upgrade to onednn v3.1
* remove older version onednn
* use densetensor::data() for achieving mean and var in layernorm impl
* comments for atol of integer tests
* fix clang-format
* Revert "remove older version onednn"
This reverts commit 783e57ddfd4401254596eae7d47adb9b03590c09.
* improve binary handle
* fix expand kernel
* Revert "use densetensor::data() for achieving mean and var in layernorm impl"
* always use forward_inference for conv
* remove activation scales
* rollback changes to mkldnn.cmake
* address comments
* port changes to dequantize kernel
* fix merge error
* fix fused_elementwise_kernel
* upgrade onednn version to v3.1.1
* fix some approval error
* fix error msg format
* remove old onednn libs
* try to fix symbolic link issue
* fix cinn test case segfault
* do not explicit link test with onednn
* remove unnecessary changes
* integrate CINN with onednn v3
* link with mkldnn project
* fix cinn build file

---------
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>
Co-authored-by: NChen, Xinyu1 <xinyu1.chen@intel.com>
Co-authored-by: Ntianshuo78520a <707759223@qq.com>

* fix WITH_SHARED_IR option type

* rename WITH_INFERENCE_NVTX to WITH_NVTX and fix compile bug

* update

* remove some pybind interface in cinn to fix compile problem

* modify cmake

* fix cmake

* add log for build cinn whl

* fix ninja for cinn

* fix conflict

Pcard-72384
paddle with cinn的情况下支持cinn的c++ ut。 统一了cinn和paddle的third_party的c++版本，cinn third party不使用C++17

This reverts commit 15c87528.

* set cmake_cuda_architecuture

* set cmake_cuda_architecutres

* set cmake_cuda_architecutres

* Add XPU plugin to support the customized ops or improve the performance of the fusion ops based on hand-written xpu micro kernels.

* refine README.md

* fix cinn codestyle cmake-format

* remove a blank cmakelist

* restore deleted file

* restore deleted file

---------
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* add arm_brpc,box_ps cache

* delete concurrentqueue.cmake

* [ROCM] fix cupti, hipcub

* update

* update

* test=cinnunit

* test=cinnunit

* sync to develop of cinn

* test=cinnunit

* test=cinnunit

* [XPU] fix compile issue for XPTI

* bugfix

* bugfix

* feat(cmake): add cmake of cinn

* feat(cmake): add cmake of cinn python test

* feat(cmake): add jit

* feat(cmake): test/CMakeList.txt

* feat(cmake): rebase to develop

* feat(cmake): remove some flags

* fix(cmake): fix cinn's gflags depends

* feat(cmake): add ci scripts of cinn

* feat(cmake): copy code of cinn

* fix(cmake): fix cinn third_party model path

* gflags dynamic dependce

* fix ci build_demo

* tmp update to c++17 of cinn-only test

* fix cinn only with c++17

* add dgc jemalloc third_party cache

* fix

* fix ci

* fix ci

* fix

* fix

* fix

* Update jemalloc.cmake

* fix

* fix

* Update jemalloc.cmake

* Update jemalloc.cmake

* Update jemalloc.cmake

* Update jemalloc.cmake

* fix

* Update dgc.cmake

* fix style

* fix cmake equal to strequal

* fix

* fix

---------
Co-authored-by: Nrisemeup1 <62429225+risemeup1@users.noreply.github.com>

* [kunlun] avoid compile issue in non-xpu env

also rename macro WITH_XPU_XPTI to WITH_XPTI

* move get_xpti_dependency.sh to tools/xpu

* move get_xpti_dependency.sh to tools/xpu

* call get_xpti_dependency.sh only in need

* add cudnn-frontend and dirent

* rewrite dirent

* dirent

* Increase download judgment.

* rewrite cudnn-fronted

* rewrite dirent

* rewrite cudnn_fronted

* rewrite

* rewrite dirent

* rewrite

* update

* test

* Update brpc.cmake

* update

---------
Co-authored-by: Nrisemeup1 <62429225+risemeup1@users.noreply.github.com>

* [cmake] fix file check error

* [cmake] fix file check

* [kunlun] support xpu runtime profiler

* fix cmake error

* add libxpti.so to paddle package

* fix for style check

* sync change in setup.py and python/setup.py.in

* remove libxpti.so from paddle output dir in this PR

* [cmake] rm leveldb sub

* [cmake] add tag check

* [cmake] fix install dir

* [cmake] fix install error

* [cmake] fix update error

* fix