* onednn: rename macro to PADDLE_WITH_DNNL

* onednn: rename macro to CINN_WITH_DNNL

* update

* update cache

* fix compile error

* 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

* add code

* fix bug in phi__kernel_utils

* refine code

* fix bug

* open flag

* refine code

* fix bug

* fix bug

* refine code

* fix bug

* skip inplace check for new ir

* program id combine inner scope pointer

* 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>

* new_ir to shared

* refine code

* add ir lib path to env

* refine type

* refine code

* fix bug

* fix bug

* refine code

* refine code

* close win

* refine code

* refine code

* refine code

* add win share

* refine code

* refie code

* refine code

* refine code

* refien code

* fix bug

* fix bug

* fix bug

* solve conflict

* solve conflict

* fix bug

* refine code

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* refine code

* fix interpretercore program bug

* delete unuse code

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix cinn bug

* fix cinn bug

* debug

* fix cinn bug

* delete unused code

* fix cinn bug

* fix cinn bug

* fix  ug

* test win openblas

* test win openblas

* fix win openblas bug

* polish code

* fix win open blas bug

* close win dll

* fix flag bug

* test for windows

* fix compile bug

[Dy2St]Get grad names when call append backward to fix high order gradient (#53250)

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* merge

* fix bugs while backward multi-times.

* code format by ci

* [Dy2St]Remove PE logic in @to_static

* fix typo

* fix infer_program

* fix typo

* fix op_size

* Fix param and out grad names in dy2st for high order grad

* hot fix

* fix compile

* merge develop

* follow comments

Fix abnormal growth of memory in train mode and no_grad for Dy2St

* Add more record event in run program op

* Refine code

* Restore code

* Rename event

* remove using lodtensor part1

* polish history code format

* reduce time cost on atomic in interpretercore

* clear code of PrepareAtomic in interpretercore

* refine threadpool cache

* add scope cache & reuse

* add gc scope for end of each train step

* del scope reuse for jit

* refine code

* test

* 1. make list transformer into jit form.
2. fix some bugs in tensor_array, such as append.
3. enhance the function analysis visitor to recognize push/pop.
4. add setter/getter helper to deal with 2+ name sets.

* fix ci errors:
1. add to_tensor_array logic in convert_cond
2. fix IfExpr error.
3. fix erros while return_names or push_pop_names is None
4. fix slice error in a[i]=1 where a is tensor_array
5. add pop interface in Variable

* add interpretercore

* refine backward program id

* add code

* refine program

* refine code

* create forward/backward_program by prog2graph2prog method

* test, do not care

* refine code

* refine code

* refine code

* test, do not care

* add interpretorcore

* add scope

* refine scope create method

* add jit for new_exe

* solve conflict

* delete unused code

* polish code

* polish code

* refine scope in inplace

* refine for datatransfer

* refine _rebuild_from_desc

* refine control eager deletion attr

* refine used_for_jit

* refine jit for infer

* op size0 use ori program

* polish code

* refine jit

* refine run_program_op ut

* refine inplace

* refine control

* refine graph helper

* refine control

* refine inplace

* refine buffer_share_inplace_pass

* polish code

* polish code

* refine usage for compilerProgram

* refine control

* test

* test core cache

* refine code

* refine io.py

* increase test_seq2seq timeout

* refine convert program

* refine interpretercore_cache release

* delete buildinplace

* refine partial_program && io

* refine code for io

* test

* test

* test

* Rename BOOST_GET macros

* Fix conflicts

* fix full zero

* fix full zero

* fix full zero

* fix full zero

* refine

* refine

* refine

* [Refactor] refactored eager_gen.py PR #2

* [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes

* Fixed minor issue

* Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition

* Fixed issues

* Supported higher-order grad node generation

* [DoubleGrad PR #4] Supported higher-order GradNode generation

* [DoubleGrad #4] Bug Fixes to Double Grad Node Generation

* Fixed yaml typo

* Fixed yaml typo

* fixed minor issues

* [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad()

* Fixed minor issue

* Fixed CI-Inference issue

* Fixed CI-inference issues

* [DoubleGrad PR #7] paddle.grad() to copy backward graph before backward run

* Fixed minor issues

* Fixed issue with backward graph construction logic

* Fixed implementation issues with backward graph reconstruction

* Fixed unittest issue

* Fixed issues

* Fix test_reinforcement_learning.py for eager run_program OP

* Add comment