* [Auto Parallel] Change the import way of Auto Parallel (#46115)

* fix strategy (#46256)

* [Auto Parallel] performance improvement for Sharding-DP hybrid parallelism (#46180)

* remove no need grad allreduce communication when sharding-dp

* remove no need grad allreduce communication when sharding-dp

* bugfix

* bugfix

* bugfix
Co-authored-by: NYulong Ao <aoyulong@baidu.com>
Co-authored-by: NJZ-LIANG <jianzhongliang10@gmail.com>

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

* [Auto Parallel] Refactor the engine api and parallelizer

* [Auto Parallel] Fix the default dist op for the slice op

* [Auto Parallel] Fix the format of planer.py

* [Auto Parallel] Fix a bug

* update planner

* update unitest

* update dist matmul

* update auto converter

* Add the backward support for QR

* Remove unnecessary comments

* [Auto Parallel] Improve the dist op interface and compatible computation

* Remove unnecessary modification

* Recover some modifications

* Add lost files

* Fix a minor bug

* Fix the bug of the planner

* Fix the format problem

* add planner

* add planner

* add cost model update

* add relaunch updation

* update process_group

* fix error

* add unitest

* update unitest

* update cost model

* avoid api problem

* update Planner

* update unitest

* update PlanSpace

* update PlanSpace

* modify set_grad_var_shape

* update code style