[xdoctest][task 184-185] reformat example code with google style in `distributed/auto_parallel/static/*` (#56666)

* [Doctest]fix No.184,185, test=docs_preview

* add env skip

* fix @staticmethod

* fix

* add xdoctest for v2

* fix

* for verify

fluid operator support new comm library

* u

* u

* u

* compatiable new comm library upgrade for c_allgather, c_reduce, c_reduce_scatter and c_scatter.

* Remove useless comments in process_group.py

* Polish code style.

* Fix some problems.

* Remove use fluid api in phi comm_context_manager.

* Add PPADDLE_WITH_CUDA and PADDLE_WITH_NCCL micro judgement.

* Fix bug of HIP architecture.

* Fix some problems.
1. remove useless loggings.
2. Fix conditional compilation for HIP.
3. Fix problems of test_pass_generation_pipeline.py. It calls paddle.distributed.init_parallel_env() at first,
then auto.Engine calls _init_comm(), which will calls process_group.instantiate(). However, init_parallel_env() will call
paddle.distributed.barrier(), it will call CreateNCCLEnvCache and create corresponding NCCLCommContext. But dev_id is not
set, as a result, NCCLCommContext's dev_ctx is not initialized.

* Fix some problems.

* Polish code.

* Polish code.

* Revert compatiable upgrade for communication operators. Their upgrades
will be submitted in another PR.

* Remove StaticTCPStore.

* Remove useless modification.

* Remove useless set_cuda_device_id.

* Polish code.

* Remove fluid header files in phi files.

* Remove useless comments.

* Fix problems of hip arch.

* Fix some problems.

* Polish code.

* Polish code style.

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Co-authored-by: hitywt <yuwentao126@126.com>

* fix eval_loss bug in parallelizer_v2.py

* fix fetch problem in pass_utils.py

* modify feed_data for dataloader in pipline parallel mode

* add pre-commit

* remove read op, use feed op

* fix validate batch_size

* tiny fix

* support catch EOFException

* fix conflict

* fix conflict

* fix executor if cond

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Co-authored-by: Frida-a <2624653516@qq.com>

* 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

* 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