* [XPU] Reorganize xpu device codes in platform, test=develop

* fix xpu_header.h, test=develop

* enable check_nan_inf and fix variable scope

* add ut

* fix bug

* update ut

* revert doc change

* fix npu compile

* Update the content of `test_parallel_executor_run_cinn.py`.

* Fix some bugs in the topological sort and `CreateNewSubGraph`.

* Update the CINN commit id used by Paddle.

* Update the unit test to `add+relu`.

* Update according to reviewers' suggestion.

* Add CinnSubgraphSearchPass

* solve CI problem of subgraph order not same

* fix some bug by review advices

* ensure the independently of subgraph, that mean the subgraph should not have link to out-graph

* rename cinn_subgraph_search_pass to build_cinn_pass and delete paddle_to_cinn_pass

* add flag to control wheter append build cinn pass

* remove AppendPass at ParallelExecutorPassBuilder

* rename paddle_to_cinn_pass to build_cinn_pass in build_strategy and close test_run_from_cinn

This reverts commit 7e60cc63.

* add FLAGS_allreduce_record_one_event

* add more comments

* fix ut

* improve coverage

* fix ut, improve coverage

Add use_cinn flag and use it to control whether we run PaddlePaddle using CINN.

Also add:

Replace PaddlePaddle graph with a CINN graph in a pass
PE Method to feed data and run the graph by CINN

* support CUDA Graph on PE

* add ut, fix CI compile

* reduce memory consumption

* fix CUDA 10 CI

* improve coverage

* improve python coverage

* add inplace logic into new_executor, test=develop

* check shape and add inplace FLAGS, test=develop

* refine, test=develop

* refine, test=develop

* copy boost optional.hpp to paddle

* copy boost optional.hpp to paddle

* move directions

* del fluid/utils

* modify .hpp to .h

* move directions

* modify to paddle::optional

* add modification description

* format code stype for the files in paddle/utils

* format code stype

* add inplace passes and tests

* update

* fix use_cuda undefined
fix compile error of op compat

* add more ut

* fix CPU CI error

* check adam unique

* fix mac/windows ci, improve coverage

* fix ci error

* follow weihang's comment

* fix BlockDesc::MoveFrom

* follow qiuliang's comment

* update

* follow huihuang's comments

* replace boost::algorithm::ends_with with self define ends_with function

* remove BOOST macro in certain operators

* remove boost::lexical_cast

* add test for string_helper

* add more test case for string_helper

* modify join_string func and test case

* fix build_strategy_test failed bug

* remove string_helper_test from parallel_UT_rule.py

* add basic APIs

* add attr_types

* follow comments

* change pass attr types

* add set pass attribute codes

* refine PADDLE_THROW

* add fix op run order pass

* add ut for fix_op_run_order

* fix ci error

* improve coverage

* improve coverge again and fix cpu test case

* follow some comments

When Graph has sub-graph, apply pass to it and all sub-graph. And add single test script .

* Refine Constructor logic of ParallelExecutor

* Replace executor into ParallelExecutor in run_program_op

* optimize attr default value, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* fix bug in AttrReader, test=develop

* fix bug, test=develop

* fix double_grad, test=develop

* refine, test=develop

* refine, test=develop

* fix checker null, test=develop

* for test, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* add check nan of inf for dygraph

* add unittest for dygraph

* revert error change

* add complex template file

* add numtraits for complex template

* add complex template type register

* modify specify template of complex

* modify specify template of complex

* modify specify template of complex

* modify specify template of complex

* make TensorCheckerVisitor support complex type

* fix operator= error

* add complex template

* add complex template type

* add complex template type to pyarray transform

* add complex template type to pyarray transform

* remove complex type for dlpack register

* set dlpack supprot complex type

* set dlpack supprot complex type

* set dlpack supprot complex type

* remove explict for complex constructor

* add complex unit test file

add npu check nan and inf (#32340)

* upgrade vlog

* train from dataset fetch optimize

* use iwyu clean include second time, test=develop