* unique id for mesh

* rng ctrl

* support dropout

* register op

* adopt for recompute

* update unitest

* support pp

* remove run_program

* remove FLAGS_USE_STANDALONE_EXECUTOR

* 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 fuse adamw pass

* fix some bugs

* fix CIbug

* change chunk_size

* fix CI bug

* rm test_fused_adam_op.py

* fix CI bugs

* fix fuse_adamw_op_pass.cc

* change code style

* fix CI bug

* fix ut bug and use_adamw_op_pass.cc

* fix test_fuse_adamw_pass.py

* fix CI bug

* remove fluid

* fix ci bug

* fix CI bug

[CodeStyle][C413][C414] Unnecessary <list/reversed> call around sorted(),<list/reversed/set/sorted/tuple> call within <list/set/sorted/tuple>() (#52065)

[CodeStyle][C408][C409][C410] Fix unnecessary <dict/list/tuple> call and unnecessary <list/tuple> passed to <list/tupule>() (#51928)

* autofix

* add select config

* autofix C410

* add C410 select

* Add fused_feed_forward pass for semi-automatic static graph training.

* Add fused_feedforward property in parallel_executor.cc

* Polish code.

* Polish fused feed_forward pass code. Support use_dropout1 and
use_dropout2 option.

* Support model parallel in fused_feedforward pass.

* [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>

* add_up004_for_ruff

* 修改配置文件并清除object

* fix md

* migrate fill_constant to paddle.tensor

* move fill_constant to paddle.tensor and repalce the reference

* add missing fill_constant replacement

* fix typro

* remove unused import fill_constant

* fix zeros import error

* fix circle import

* fix layers.zeros

* fix unitest

* fix unitests

* fix unitest

* use paddle.full replace fill_constant in samplecode

* fix sample code

* recovery xpu test

* recovery xpu test

* fix circle import

* fix utils import error

* fix utils error

* fix circle import

* redo

* fix circle import

* fix prim fill constant import

* fix type error

* fix increase error

* fix test error

* fix fill_constant

* update env setting

* update pass logic

* dist op support bf16

* backward cast update

* update setting

* update backward

* revert amp pass

* update fp16 backward logic

* register c_embedding bf16

* revert engine

* add unitest

* add unitest

* update unitest

* update cmake

* update math

* update math.py

* update unitest

* update unitest

* revise unitest

* revise unitest

* update unitest

* update unitest

* update unitest

* fix dist_attr in data_parallel in optimization

* fix grad_clip pass when pp2

* fix dist_attr

* move ascend_transpiler

* move transpiler.collective

* remver checkport

* fix

* fix import

* fix import

* add init

* fix

* fix

* fix

* remove dygraph.parallel.ParallelEnv

* logger.py error: AttributeError: module 'paddle' has no attribute 'distributed'

* move the implenmentation to the root folder

* logger.py import ParallelEnv from paddle.parallel to avoid circular import

* add the comment of why import ParallelEnv from paddle.parallel in logger.py and remove the api interface in the paddle/parallel.py

* outdated Env and note removed

* decouple the logger.py and ParallelEnv

* remove another ref of parallel in init.py

* fix the processing order of passes in pass_base.py

* fix processing order

* add _PASS_PROCESS_ORDER_LIST

* delete some pass in _PASS_PROCESS_ORDER_LIST

* add assert in pass_base.py

* remove fuse_optimizer

* add _fusion_opt_list_rule

* add test_pass_base_list.py

* fix some bug

* add fused_attention

* add some passes to list

* fix ci bug

* fix ci bug

* add set slot_num for psgpuwraper (#177)

* add set slot_num_for_pull_feature for psgpuwarper

* Add get_epoch_finish python interface (#182)

* add get_epoch_finish interface

* add return

* delete return

* add unzip op (#183)

* fix miss key for error dataset (#186)

* fix miss key for error dataset

* fix miss key for error dataset
Co-authored-by: Nyangjunchao <yangjunchao@baidu.com>

* add excluded_train_pair and infer_node_type (#187)

* support return of degree (#188)

* fix task stuck in barrier (#189)
Co-authored-by: Nyangjunchao <yangjunchao@baidu.com>

* check node/feature format when loading (#190)

* check node&feature format when loading

* check node&feature format when loading (2£ (2)

* degrade log (#191)

* [PGLBOX]fix conflict

* [PGLBOX]fix conflict

* [PGLBOX]replace LodTensor with phi::DenseTensor

* [PGLBOX]fix gpu_primitives.h include path

* [PGLBOX]from platform::PADDLE_CUDA_NUM_THREADS to phi::PADDLE_CUDA_NUM_THREADS

* [PGLBOX]fix unzip example code

* [PGLBOX]fix unzip example code

* [PGLBOX]fix unzip example code

* [PGLBOX]fix unzip example code

* [PGLBOX]fix unzip ut

* [PGLBOX]fix unzip ut

* [PGLBOX]fix code style

* [PGLBOX]fix code style

* [PGLBOX]fix code style

* fix code style

* fix code style

* fix unzip ut

* fix unzip ut

* fix unzip ut

* fix unzip

* fix code stype

* add ut

* add c++ ut & fix train_mode_ set

* fix load into memory

* fix c++ ut

* fix c++ ut

* fix c++ ut

* fix c++ ut

* fix code style

* fix collective

* fix unzip_op.cc

* fix barrier

* fix code style

* fix barrier

* fix barrier

* fix code styple

* fix unzip

* add unzip.py

* add unzip.py

* fix unzip.py

---------
Co-authored-by: Nchao9527 <33347532+chao9527@users.noreply.github.com>
Co-authored-by: NSiming Dai <908660116@qq.com>
Co-authored-by: Nhuwei02 <53012141+huwei02@users.noreply.github.com>
Co-authored-by: Nyangjunchao <yangjunchao@baidu.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] 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

* [Auto Parallel] Clear some fluid APIs

* [Auto Parallel] Remove some fluid APIs

* [Auto Parallel] Fix the wrong import

* [Auto Parallel] Remove unnecessary comments

* [Auto Parallel] Fix the importing bug

* [AutoParalle] balancing the calculation of global_norm in data parallel

* fix unittest

* update cond pure_data_parallel

* Enable standalone executor for fleet training

* Update code

* Replace use_standalone_executor utils in auto parallel

* Update code

* Diable standalone executor for test_pass_sharding

* Update code

* Set sequential run for auto parallel

* Fix dist_attr bug

* Set sequential run for auto parallel

* [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

* remove deps and prior comm

* grad comm fuse

* add deps for amp&global norm

* stage2 broadcast prior deps

* stage2 grad overlap

* stream_analyzer bugfix

* overlap enable

* dep op namescope

* depend support multiple inputs

* check finite deps

* stage2 param comm overlap

* Set kD2HStream

* grad comm hierarchical

* grad comm hierarchical

* new unitest
Co-authored-by: Nchenruibiao <chenruibiao@baidu.com>

* 1219

* temporarily change the num_diff_files limit, test=document_fix

* Revert "temporarily change the num_diff_files limit, test=document_fix"

This reverts commit 8e70f00ef468d2dad0e38b3da06295ed62990d20.

* for codestyle

* remove duplicate license

* `static mode` -> `static graph mode`

* Update hybrid_parallel_inference.py

* Update layer_function_generator.py

* Update manipulation.py

* reset
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* auto parallel bf16

* [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