As the title

* Move pass optimizations into CINN.

* Update the commit id of used cinn codes.

* optimize preparation overhead before executing cinn compiled program

* update code notes

* fix flag annotation

* enable auto-tune when using CINN

* update cinn commit tag

* skip test

* fix lacking header file

* support check data type and mutable_data with compiled infos in paddle with cinn

* update cinn_instruction_run_op_test with multi data type

* fix NetBuilder API Name bug in cinn_lib_test

* update cinn version to newest

1. Modify git tag for CINN
2. Support compile option "-DWITH_CINN=ON, -DWITH_TESTING=OFF"

* Add macro required by CINN.

* Remove CMAKE_BUILD_TYPE form cinn.cmake.

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

update cinn commit id tag to the newest one for fix some bugs

* 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.

This PR added some changes to match the CINN change for compilation. It also tried to fix JiangCheng's Problem in PR: https://github.com/PaddlePaddle/Paddle/pull/36100

These changes include:
1. Set `CINN_GIT_TAG` to a newer tag
2. CINN now just `make cinnapi -j`
3. We have to add `-DPY_VERSION=${PY_VERSION} -DWITH_TESTING=ON` to CINN cmake args
4. For CINN's third party dependencies, we could just include headers without target_link_libraries
5. Moved `cinn.cmake` from `paddle/cmake` to `paddle/cmake/external` to match old style. External folder contains `lite`, which is the same level of `cinn`
6. CINN added `-DNAMESPACE=cinn_gflags` in `gflags.cmake` to have different gflag namespaces between CINN and Paddle. It solved re-define problem.
7. Change namespace of `::google::` in gflags to `::GFLAGS_NAMESPACE`

Add CINN compile option in CMake.

Now you can use CINN in Paddle by `-DWITH_CINN=ON` when `cmake`

To test it, you can run `make cinn_lib_test -j` and `ctest -R cinn_lib_test`. 

Note:
1. You should set
```
export runtime_include_dir=${CINN_SOURCE_DIR}/cinn/runtime/cuda 
```
When run test, the `${CINN_SOURCE_DIR}` should be set based on your CINN directory.

2. CINN is under developing now, you may have to change `CINN_GIT_TAG` to the git commit you need.