* add ir core

* add test

* modify name

* merge

* add test for __eq__

* shield  test for __eq__

* --amend

* Update new_ir_compiler.cc

* use string as key for comm_context_manager

* remove device_id from comm_context

* fix bug: feed_with_place should consider variable existence

* fix

* fix build scope

* change method to set feed var name

* fix

* fix new ir shadow typo

* update

* add interface

* add code

* add code

* add code

* add code

* fix bug

* fix bug

* add var prefix

* add code

* add code

* add code

* fix compile bug

* fix bug

* refine code

* refine code

* refine code

* refine code

* fix bug

* add code

* add code

* fix bug

* add code

* add code

* refine code

* refine code

* fix bug

support stride

* add interface

* add code

* add code

* add code

* add code

* fix bug

* fix bug

* add var prefix

* add code

* add code

* add code

* fix compile bug

* fix bug

* refine code

* refine code

* refine code

* refine code

* fix bug

* new ir support save combine

* update

* polish code

* update

* new ir support fluid op

* remove depulicate op

* fix ir exe test compile error

* fix compile bug

* update

* code format

* update

* update

* polish code

* add support for outputting the intermediate variables

* fix fuse_rresnet_unit

* 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