* [Auto Parallel] Speedup the completion process

* [Auto Parallel] Skip the property of dist_context when deepcopying

* [Auto Parallel] Remove the unnecessary print

* [Auto Parallel] Move some changes from 2.4 branch to develop

* Update engine.py

* [Auto Parallel] Fix a bug

* autofix
Co-authored-by: NLiyulingyue <83450930+Liyulingyue@users.noreply.github.com>

* revert changes in python/paddle/distributed/fleet/utils/hybrid_parallel_util.py

* empty commit, trigger ci

* fix test_slice

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

[CodeStyle][C416][C417] rewrite unnecessary comprehension with function call and use generator instead of map (#52140)

* codestyle c416 c417

* fix error

* fix inc

* unify all C4 rules into one

* fix inc

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

* add tune o1 level

* add unittest

* [AutoParallel] support bloom

* fix import

* align amp and bf16

* update func name

* clipbyglobalnorm and add_n support bf16

* upgrade amp strategy api

* update bf16 unittest

* fix static clip

---------
Co-authored-by: Nliangjianzhong <liangjianzhong@baidu.com>
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* move fluid.utils to paddle.utils.layers_utils

* fix error

* delete original fluid layers utils

* remove import and old utils

* remove more old utils import

* change import path of fill_constant in the layers_utils.py

* fix mistake

* fix error

* expose in __init__.py

* for comment

* when change the ref of func is_sequence, it should change to the root of is_sequence instead

* for codecheck

* [Auto Parallel] Remove some fluid APIs

* [Auto Parallel] Fix the wrong import

* [Auto Parallel] Remove unnecessary comments

* [Auto Parallel] Fix the importing bug

* [Auto Parallel] Rename methods of ProcessMesh

* [Auto Parallel] Impl the python process_mesh by the c++ one

* [Auto Parallel] Add some minor modifications

* [Auto Parallel] Rename some methods

* [Auto Parallel] Remove unnecessary codes

* [Auto Parallel] Add back some removed files

* [Auto Parallel] Fix bugs

* [Auto Parallel] Fix a bug

* Update process_mesh.cc

* [Auto Parallel] Merge dist attrs of Python into C++

* [Auto Parallel] Add back deleted importing

* [Auto Parallel] Add back removed unittest

* [Auto Parallel] Remove type qualifiers of return types

* [Auto Parallel] Fix some bugs

* [Auto Parallel] Fix a bug of the quant pass

* [Auto Parallel] Fix the code style

* [AutoParallel] quantization pass support export

* support subgraph

* move_presist_var_to_global_block

* update unittest

* fix ci-coverage

* fix codestyle

* fix fake_dequantize_op

* remove unused var

* fix ci error and aprroval error

* add unittest for fp16 in test_dequant_linear

* replace mutable data

* fix unittest in non-cuda-core

* fix unittest
Co-authored-by: Ncarryyu <569782149@qq.com>
Co-authored-by: Nwufeisheng <wfs1997@163.com>

* [Auto Parallel] Rename methods of ProcessMesh

* [Auto Parallel] Impl the python process_mesh by the c++ one

* [Auto Parallel] Add some minor modifications

* [Auto Parallel] Rename some methods

* [Auto Parallel] Remove unnecessary codes

* [Auto Parallel] Add back some removed files

* [Auto Parallel] Fix bugs

* [Auto Parallel] Fix a bug

* Update process_mesh.cc

* [Auto Parallel] Fix a bug

* recompute dep filter param

* recompute dep for reshard

* isort all files

* revert conflicting files

* revert conflicting files

* revert conflicting files

* add c_concat pass for reshard

* add unittest

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* for gpt-gen

* fix reshard

* adapt assign and shape op

* add dist_assign & unittest

* add conditional block unittest

* rename unittest

* [Auto Parallel] Suppport different dataloaders

* [Auto Parallel] Add num_shards config for dataset

* [Auto Parallel] Unify the logger and outputs of Engine API

* [Auto Parallel] Fix the bugs of to_static

* [Auto Parallel] Adjust the test_to_static.py

* [Auto Parallel] Add the prepare API and replace __call__ with run

* [Auto Parallel] Improve the private implementations of Engine

* [Auto Parallel] Set capacity of dataloader for opt tuning

* [Auto Parallel] [WIP] Change the fine-grained API

* [Auto Parallel] Improve APIs to support different user cases

* [Auto Parallel] Add removed config

* [Auto Parallel] Add imports

* [Auto Parallel] Fix bugs for to_static

* [Auto Parallel] Remove unnecessary imports

* [CodeStyle][F401] remove unused import in python/paddle/distributed

* remove pass

* empty commit

* Fix ValueError: list.remove(x): x not in list for meta_optimizer_names.

Fix ValueError: list.remove(x): x not in list for meta_optimizer_names.

* Fix split import.

Fix split import.

* add noqa after meta_optimizers in factory

* restort collective ops

* expand `import *`

* add noqa after required imports

* try to fix APIs without core.ops

* Revert "try to fix APIs without core.ops"

This reverts commit 6172beaf601e84bf61f2490c12c4739f0edaa5eb.

* fix an increment

* empty commit

* add noqa after required imports

* expand `import *`, fix ci error
Co-authored-by: NShuangchi He <34329208+Yulv-git@users.noreply.github.com>

* [AutoParallel] fix reshard when train with eval

* fix mppp

* adapt lazy init and fix pass

* add unittest

* update comment

* fix amp and sharding

* remove clip_by_norm

* add grad_clip pass

* add unittest

* add notes

* update func

* add dist_attr for new op

* add quant pass

* add clip_grad

* fix comments

* add unittest

* update logger

* update reshard cost and cost estimator

* add unittest

* add dropout cost

* fix import error

* fix reshard code style error

* improve unittest coverage

* update reshard for auto search

* fix unittest bug

* update dist tensor

* update reshard output

* fix unittests bug

* merge develop

* 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

* slice data in dist_loader & flag to scale grad

* bug fix

* update unittest

* enable static

* fix code stype

* update unitest

* update reshard for while sub block

* fix code format error

* update dist param grad for pass

* update unitest

* update unitests

* fix conflict

* update reshard for newest completion

* update unitest

* merge newest

* [AutoParallel] Recompute Pass

* update unittest

* reshard for amp

* add comment

* [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

* Add some comments

* Remove the related files about mapping

* Remove unused rank_mapping unittest

* Improve the unittest coverage

* default dist op

* add dist_attr for dist op

* add unitest

* update inputname

* update function name

* add unitest

* update CMakeLists.txt for CI

* fix dis_matmul

* fix compile error

* update matmul to matmul_v2

* unify api

* unify api

* todo

* update distop forward func

* update distop forward func

* auto parallel backward

* update dist op

* autoparallel backward

* add backward for embedding

* temp1

* temp2

* temp3

* temp4

* backward done1

* backward done2

* backward done3

* dist embedding remove mp mode

* dist matmul remove mp mode

* update dist embedding
『

* dist op init1

* dist op init 2

* update unitest

* context remove parallel mode

* partitioner remove parallel mode

* update unitest

* a more general method to support varying mesh in pipeline parallel

* support varying mesh in pipeline parallel

* embedding support varying mesh in pipeline parallel

* matmul support varying mesh in pipeline parallel

* default dist op support varying mesh in pipeline parallel

* dist attribute for startup program

* default dist op support varying mesh in pipeline parallel 2

* partitoner support varying mesh in pipeline parallel

* revise logic for auto compeletion

* revise framework.py

* revise reshard unitest

* revise unitest for parallelize

* chmod

* fixed bug for dist embedding name mapping

* Improve the interface and the underlying mechanisms of auto parallel

* revise completion for backward

* revise completion for update

* revise completion for update

* update unitest

* chmod

* bugfix for grad_op output var's mesh

* Modify codes for pr 36744

* Remove unnecessary comments in framework.py

* Remove unnecessary comments in completion.py
Co-authored-by: NJZ-LIANG <jianzhongliang10@gmail.com>
Co-authored-by: Nzhaoyingli <zhaoyingli@baidu.com>
Co-authored-by: NJZ-LIANG <38102074+JZ-LIANG@users.noreply.github.com>