* add sharing event info

* add sharing event info

* fix

* remove const

* add flag

* fix

* new ir support save combine

* update

* polish code

* add kernel dialect

* change DenseTensorTypeStorage to DenseTensorType

* add test case`

* add first pd_op to kernel dialect

* lower pd op to kernel dialect

* update

* update

* remove useless code

* add attrite print test

* fix bug

* update

* update

* update

* update

* polish code

* fix bug

* polish  code  and add python test

* add test

* fix test error

* relax constraint when inserting get_parameter

* add env flag

* fix bug

* dygraph2static support new ir

* fix bug

* revert test env

* change cc_test_old to cc_test

* update

* fix build_static bug

* update test

* fix type test error

* udpate cmake

* disable test in windows

* fix inference compile

* fix program translator error

* only run on cpu, not support gpu yet

* fix conflict

* polish code

* fix bug

* add feed with place op

* update

* remove useless unitest

* udpate mkldnn

* update

* update

* align mkldnn version

* new ir support builtin slice op

* fix bug

* fix phi kernel adaptor bug

* add enable static

* add enable_static

* remove useless test case

* change feed list to single variable

* update

* add feed with place and shaddow output op

* fix bug

* remove usless code

* support gpu

* fix bug

* fix bug

* remove template

* add more data type

* fix cimpile bug

* udpate

* remove useless code

* revert dygraph2st test

* remove usless code

* revert op

* fix bug

* new ir dygraph2static support gpu

* remove usless code

* code polish

* add const

* revert code and remove useless code

* revert code

* revert legacy op yaml

* remove useless code

* delete std::move

---------
Co-authored-by: Nkangguangli <kangguangli@hotmail.com>

* onednn: remove fc+eltwiseadd fusion pass
* onednn: remove post-sum fusion in fc kernel
* onednn: tests: make unfused add run into f32

* add share api for DependencyBuilder

* add judge codes for sharing build results

* add ShareBuildResultsFrom

* update ShareDependencyFrom

* fix error

* add share codes

* fix memory error

* update according review

* update notes

* fix code style

* remove const_cast

* fix code style

* add feed with place op

* remove useless unitest

* udpate mkldnn

* update

* new ir support builtin slice op

* fix phi kernel adaptor bug

* add enable_static

* remove useless test case

* change feed list to single variable

* support gpu

* fix bug

* remove template

* add more data type

* fix cimpile bug

* [Kunlun] Mofify some legacy code on distributed training

There were limitations on XPUs before, such as concat/split is not
supported, and c_broadcast only support fp32. These limitations are
lifted recently.

Multi-device profiling on XPU will also be supported by this PR.
Without this PR, a hanging broadcast will be issued by devices that
enables profiling, eventually lead to kernel timeout error.

* fix typo

* add interface

* add code

* add code

* add code

* add code

* fix bug

* fix bug

* add code

* fix bug

* refine code

* refine code

* fix bug

* add inplace interface

* support inplace

* refine code

* fix bug

* fix bug

* refien code

* add file

* add interface

* refine code

* refine code

* add phi kernel instruction

* refine code

* add test

* delete unuse code

* add test

* add test

* add deps

* delete unused code

* fix bug

* fix bug

* copy dense_tensor.h to inference lib

* update

* update

* Support nvprof for auto parallel

* Fix CI errors

* Fix CI errors

* new ir support builtin slice op

* fix phi kernel adaptor bug

* rewrite identity_op_clean_pass

* fix

* adjust identity_op_clean_pass order in gpu passes

* fix ut

* 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>

* [clang-tidy] enable readability-container-size-empty check

* fix test_custom_kernel Failed

* add clang-tid-10 in dockerfile

* add clang-tidy in dockerfile

* fix bug

* fix WITH_SHARED_IR option type

* rename WITH_INFERENCE_NVTX to WITH_NVTX and fix compile bug

* update

* optimize expr operator = implementation

* fix codestyle

* fix bug

* fix bug

* refien code

* refien code

* fix bug

* refine code

* add local scope

* refine code

* refien code

* refine code

* support local scope for BuildFuncList

* fix bug

* add log

* fix bug

* polish code

* fix bug