* cinn use interpretercore

* fix bug

* fix compile bug

* fix scope bug

* refine code

* refine code by comment

* refine code by comment

* remove using lodtensor part1

* polish history code format

cinn_launch_op: optimize the overhead of preparing variables before executing cinn compiled program (#41777)

* optimize preparation overhead before executing cinn compiled program

* update code notes

* fix flag annotation

* add a flag of auto-tune feature beforehand

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

* update cinn_instruction_run_op_test with multi data type

* swith to PE execution in cinn launch

* fix outer variables erased

* skip the map bug temporarily for test

* temporary solution for batch_norm bug

* update comment

* fix compile error

* cinn_instruction_run_op_test: update code to skip external alloc/free instructions generated

* build a Paddle Graph from CINN compiled program for execution with PE

* update names of some variables

* fix random fail in build_cinn_pass_test and update some comments

* fix compiler error by merging phi pr

* rename pten dir to phi

* rename namespace to phi

* rename infrt pten dir to phi

* resolve conflict

* rename pten to phi in cmake

* revert all infrt change

* change needed files

* fix infrt failed

* fix inference failed

* Unify paddle/pten::framework::ddim into pten::ddim

* fix paddle namespace

* compile sucessfully

* fix npu src file

* fix conflict

* fix conflict

* fix tensorrt compiler error

* fix conflict

* fix conflict

* fix tesst file conflict

* fix conflict

* fix mlu file conflict

* fix mlu file conflict

* fix cinn header file conflict

* fix conflict

* fix conflict

* fix conflict

* fix conflict

* add cinn_instruction_run_op test code

* update several interfaces of CinnLaunchContext

* update several interfaces and add detail comments in CinnLaunchContext class

* to skip the bug of error message check

* fix ut test failed due to reliant interface updated

* add cinn_instruction_run_op for launching execution of a cinn instruction

* fix multi definition compilation error

* update cmake

* fix bug at infershape

* fix compile error due to lacking header file

cinn_launch_op： cache scope and place on CinnLaunchContext to skip duplicate alloc/free callback construction

1. add a subdirectory named `cinn` in `paddle/fluid/operators` directory and move releated files into it
2. seperate CinnLaunchContext class from `cinn_launch_op.h` and put it in a  new independent file named `cinn_launch_context.h`, so that it can be included by others clearly.

Modify ShareTensorWithCinnBuffer by callback to save memory

* optimize cache-key by replace GraphToProgram to Dot string

* fix compile failure bug

* Make FLAGS_determinstic effective in conv2d forward.

* Add call of SetCinnCudnnDeterministic in cinn_launch op.

Modify serveral implements on CinnLaunchOp：
1. Skip checking input variables must be used 
2. Move current helper functions to a CinnlaunchContext 

cinn_launch_op: remove the check on extracting temporary variables

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.

1. 功能不变，简化CinnLaunchOpKernel实现：将原先直接从Scope获取变量信息的方式改为借助参数ExecutionContext标准接口获取，简化了实现逻辑，相应地也简化了辅助函数的实现，原先cinn_launch_op_helper较为冗余，删除不必要的接口并迁移至cinn_launch_op.cc中定义。
2. 修复CinnLaunchOp InferShape判断是否有指定输出：HasOutput->HasOutputs
3. 添加详细的注释和debug信息，方便问题排查和代码维护

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