Fix Paddle-CINN CI

Add test property RUN_TYPE=CINN to CINN unit tests. It will restrict Paddle-CINN CI to run these unit tests only.

* Update the batch size used in test_resnet50_with_cinn.py.
* Enable more debug info.

* add deny param list to solve unuse param cannot found the problem

* enclosure deny list in a function

* update by review advice

* Use a more appropriate `Compile` method in cinn_launch_op.

* Update the VizGraph method of CinnCompiler.

* Add resnet50 model training with CINN.

Add FLAGS_allow_cinn_ops & FLAGS_deny_cinn_ops for controlling op types used in training with CINN. (#36842)

* Update UT test_parallel_executor_run_cinn.py.

* Add FLAGS_allow_cinn_ops & FLAGS_deny_cinn_ops & FLAGS_cinn_ops_delim.

* Use the custom StringSplit function and remove the FLAGS_cinn_ops_delim flag.

* Add FlagController test.

* Apply lock to the cache_ only in CinnCompiler.

* Add VizGraph & ReadableKey method for CinnCompiler.

* Update the dot style of VizGraph in CinnCompiler.

增加CinnLaunchOp，负责执行Cinn子图编译的结果，要点如下：
1. 在子图划分的BuildCinnPass中，每个子图在原图中会被替换为该CinnLaunchOp，由它来调用Cinn进行子图编译、执行的功能。
2. CinnLaunchOp的输入/输出即为子图的输入和输出，另外增加`compilation_key`属性，它可由该属性key从全局Cache中获取子图对象、编译结果，该属性由BuildCinnPass在创建Op时进行设置
3. CinnLaunchOp功能实现的流程为：
        - 从全局Cache中获取子图对象
        - 从全局Cache中获取子图编译结果，未命中cache时进行即时编译
        - 根据编译结果的变量信息(数据类型、shape）初始化运行时数据，分配内存/显存
        - 将运行时数据打包为参数，调用cinn的可执行对象runtime program进行计算
        - 子图运行结果通过参数指针同步到paddle侧的tensor

* 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.

* Fix the null ptr bug in build_cinn_pass.

* Add test for empty&ctrl var.

* Init the functions of CinnCompiler.

* Add the unit test for CinnCompiler.

* Fix some compilation errors.

* Update the UT of cinn_compiler.

* Use Decomposer&OpFusion passes in CinnCompiler::CompileGraph.

* Update some comments.

* Uncomment some includes in build_cinn_pass.cc.

* Use refs instead of ptrs as returned types of FindGraph & Compile in
CinnCompiler.

* Use the merged CinnGraphSymbolization functions in CinnCompiler.

* add cinn graph symbolization

* fix some bug

* add paddle scope to cinn scope

* add paddle scope to CINN scope in Symbolization, and add feed op when build cinn pass

* fix some bug

* fix some bug by review advices

* optimize code problem

* revert build_cinn_pass and move the change to https://github.com/PaddlePaddle/Paddle/pull/36503

* fix some bug after co-compilation

* perfect single test script

* remove scope and rename feed_target to input_tensor

* using std::unordered_map instead of absl::flat_hash_map

* fix single test bug

* revert to preverion for WITH_CINN has add in later PR

* full error information for CI

* full enfore information for CI pass

* add transformer of paddle desc and cinn desc

* change LOG(FATAL) to PADDLE_THROW for ci

* full error imformation for ci

* fix some problem as review advice

* fix some bug

* move vat type utils to tansform_desc header file

* add if NOT WITH_CINN control whether compile

* build_strategy check whether open WITH_CINN

* add control WITH_CINN in cmake

* add feed op and new var for the generated subgraph

* perfect the test script of build_cinn_pass 

* remove useless clear and perfect some annotation

* 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

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

* Add Basic CINN Runner Class

* Add CinnCacheKey

* Add Cache logic and improve CinnCacheKey


* Modify as reviewer commented

* Implement hash_combine to fix MAC build.