* shard_tensor support static graph

* add comments

* add dy2static ut

* use property in c++ side

* fix: updated code examples.

* fix: added paddle.seed

* fix: updated code style

* Apply suggestions from code review

* refactor: refine detail of code examples

* Update python/paddle/distributed/auto_parallel/static/process_mesh_v2.py

* fix: refine detail

* fix: refine detail

* Update python/paddle/distributed/auto_parallel/static/process_mesh_v2.py
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* refactor: refine detail

* refactor: refine detail

* fix: refine doc

---------
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* make params_grads order same bewteen dynamic and static mode

* revert inplace clip

* use sorted attribute to control

* tiny fix

* fix find loss_grad_op

* remove the optimizer base and learning rate base

* fix bug

* fix bug

* open

* update

* Update autoparallel DistributedDataLoader

* add places for engine.dataloder()

* simple reaplce

* for debug

* fix bugs

* fix some bugs

* del fill_constant_batch_size_like

* add shard tensor api

* add DistAttr api

* add unittest for coverage

* fix process mesh sample code

* fix checking error

* Support nvprof for auto parallel

* Fix CI errors

* Fix CI errors

* remove allreduce before c_allgather

* update reshard insert_fill_constant_op func

* insert_fill_constant_op add shape arg

* add skip_gc_vars for 1f1b schedule mode

* add pp_degree and pp_stage

* base rule

* add sharidng merge

* add sharidng axis merge

* define unified data class for inferencing dist_attr

* test wrap DistTensorSpec in dygraph mode

* matmul main logic done

* define unified data class for inferencing dist_attr

---------
Co-authored-by: NYichen Zhang <zhangyichen03@baidu.com>

* auto parallel support pipeline scheduler with standalone executor

* rm check_fetch

* update cmakelist and flags env

* rm set micro batch id

* rm import

* update utils func

* raise error when merge tensor for return_numpy is False

* fix _pipeline_opt

* fix unittest

* bump ruff to 0.0.271 and update config

* exclude third_party

* bump ruff to 0.0.272

* refine config

* eager call all2all to avoid p2p hang in lazy init

* update

* [AutoParallel] add 1F1B

* rm amp

* [AutoParallel] update while control_flow with pipeline

* update process group instantiate

* fix micro_bsz for reshard

* update api for micro batch size

* add strategy for dp optimization

* [Auto Parallel] Reorganize the fold structure

* [Auto Parallel] Fix some import errors

* global view process_group

* fix import

* fix attr

* fix tunner init comm

* [CustomDevice] fix auto_paralell

* update

* update

* update

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* fixed cyclic reference that caused patial import

* fixed bad change

* fix bad import

* fix bad import

* fix bad import

* fix ut failed caused by change in_dynamic_mode

* fix ut failed caused by change in_dynamic_mode

* fixed usage of in_dynamic_mode() or in_dygraph_mode()

* revert python3 to python in .pre-commit-config.yaml

* fix merge conflicts

* rm cmake npu

* Update generic.cmake

* Update generic.cmake

* rm npu

* rm use_npu

* rm npuid

* rm use_npu

* rm npuid

* delete npupinned

* roll back sth.

* roll back sth.

* delete npupinned

* roll back sth.

* roll back sth.

* rm npu

* rollback something

* rollback npu identity

* rollback npu identity

* move DataLoader to paddle.io. test=develop

* support 0-D output and 0-D as indice in __getitem__

* fix tests

* fix inference and UT

* add unittest for setitem

* fix xpu test

* fix xpu 0-d

* add flash randomness control

* fix VLOG undefied

* add random control for fused dropout add

* add __init__