* add boardcast_sub

* add boardcast_sub

* Fix CUDAGraph bug for StreamSafeCUDAAllocator

* Add CUDAGrapthAllocator check in multi-stream interface

* Set FLAGS_use_stream_safe_cuda_allocator defaulted to false

* Fix environment error for cmake

* Fix cmake error

* Add UT of GetAllocatorInterfaceTest

* Add UT of CUDAGraphExceptionTest

* Enhance CUDAGraphExceptionTest

fix: when ceil_model==true && Padding_algo!=SAME, (x-size)/stride != int, this convert is wrong (#37929)

* refine a test case, test=develop

* publish python c api for eager, test=develop

* revert modify about test_allclose_layer.py, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* delete numpy includes, use pybind11 numpy.h, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* suport eager error msg, and add grad test case, test=develop

* refine, test=develop

* refine, test=develop

* generate eager core ops, only 4 ops, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* Rearranged Eager AutoCodeGen directory structure

* Removed USE_OP in Eager AutoCodeGen

* Enabled generation for Operators without Grad/Inputs/Outputs

* Resolved operators without input

* Fixed merge conflicts

* Enabled Eager AutoCodeGen for 10+ more operators

* fix CUDA Graph H2D bug again

* fix no return bug

* add infrt code

refined with Paddle's code style.

* rename CinnRtConfig to InfRtConfig

* rename CinnRt to InfRt of some code

* rename CINNRT to INFRT

* remove unnecessary code

* replace CINN to INFRT in the source code

* replace all "cinn" in code to "infrt"

* remove some const_cast

* add maxunpool2d in __all__

* fix MaxUnPool2D example

* Debug

* Fixed issue with reset_grad_inplace_version when used with clear_gradient & cross-batch accumulation

* Rearranged interfaces

* Fixed ci issues

* update logsumexp doc

* update api doc

* update api doc

* fix static git diff check

* test=document_fix

* make some non_parallel unittest parallel execute

* delete duplicate ut

* multithread_memory_optimize

Paddle don't have to set runtime_include_dir during run CINN.

* polish for zip in dy2stat

* polish comment

* polish is_builtin_len

* fix comment

* format xpu op list

* format xpu op list

* update xpu1 op list

* refine a test case, test=develop

* rm python, test=develop

* refine, test=develop

* fix cmake generate error, and fix circular import, test=develop

* [Auto Parallel]  Add the unified cluster representation

* [Auto Parallel] Add the graph class for physical mapping

* [Auto Parallel] Add the simple physical mapper

* Set the timeout of the mapper

* Merge the upstream develop unittests cmake files

* Fix a bug of the process group

* Remove mapper unittest from platforms which is not GPU

* Move the instantiation of process group after resharding

* Add the local id for devices

* Update the rank mapping format

* [Auto Parallel] Relaunch with the rank mapping file

* Remove the unnecessary json file

* Avoid entering get_device_proc_info for auto mapping

* Correct the mapper unit test

* Add some comments

* Remove the related files about mapping

* Update the unittest for auto mapping

* Remove unused rank_mapping unittest

* Improve the unittest coverage

* Improve the unittest coverage

* Improve the unittest of relaunch

* Fix the unittest problem in CI

* Improve the unittest of relaunch

* Remove unnecessary statements

* Update the unittest cmakefile

* Correct the cmakefile of auto parallel unittests

* Modify codes based on the new elastic change

* Use the GPUs exclusively in the unittest

* Correct the cmakefile

* Set the timeout of the unittest

* add inplace op adaptation

* optimize inplace logic and fix bugs when run kernel that has args of vector<DenseTensor>

* move func in kernel_context.h into kernel_context.cc

* refactor logic that transform variable to densetensor

* fix bugs when compile

* update func name

* fix bugs when run windows-ci

* fix heter service. test=develop

* fix heter section worker in debug mode

don't exit if requested_size < size

* quantize slice op

* correct test

* fix code formatting