* [Auto Parallel] Add the high-level Engine API

* Update the test cmakefile

* support qkv fuse

* support qkv fuse

* update completion

* update completion

* update dist_split

* rerun ci

* is_auto_compatible added

* is_auto_compatible added

* update planner

* update unitest

* update dist matmul

* update auto converter

* update dist param grad for pass

* update unitest

* update unitests

* fix conflict

* update reshard for newest completion

* update unitest

* merge newest

* 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

* [Auto Parallel] Update the completion algorithm

* Fix the bug of auto_searcher unittest

* 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

* [AutoParallel] Recompute Pass

* update unittest

* reshard for amp

* add comment

* auto parallel sharding base

* chmod

* add unitest

* set unitest cmake dist label

* revise code according to rewiew

* chmod

* bugfix for grad_clip and param broadcast

* chmod

* update unitest

* chmod

* add clip

* chmod

* add amp pass

* chmod

* add unitest

* remove grad update

* fixed bug

* fixed bug

* fixed typose

* fixed typoes

* update dist tensor

* add unitest

* update unitest

* refactor dist tensor

* update dist tensor and unitest

* [Auto Parallel] add gradient merge pass

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix pr review

* fix pr review

* fix pr review

* fix pr review

* fix pr review

* fix pr review

* [Auto parallel] Make the id of var and op unique

* [Auto Parallel] Rename back dist_context to distop_context

* auto parallel sharding base

* chmod

* add unitest

* set unitest cmake dist label

* revise code according to rewiew

* chmod

* 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

* dist matmul op compatible

* dist op unittest

* modify dist matmul

* modify dist reshape

* modify dist reshape

* add a space

* add a space

* delete dist matmul op

* modify reshape

* add dist op unittest

* modify dist op unittest

* dist matmul op compatible

* modify common dist op

* modify common

* add a space

* add update func of auto search

* update unitest

* [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

* [Auto Parallel] Relaunch with the rank mapping file

* Remove the unnecessary json file

* Avoid entering get_device_proc_info for auto mapping

* Correct the mapper unit test

* Add some comments

* Remove the related files about mapping

* Update the unittest for auto mapping

* Remove unused rank_mapping unittest

* Improve the unittest coverage

* Improve the unittest coverage

* Improve the unittest of relaunch

* Fix the unittest problem in CI

* Improve the unittest of relaunch

* Remove unnecessary statements

* Update the unittest cmakefile

* Correct the cmakefile of auto parallel unittests

* Modify codes based on the new elastic change

* Use the GPUs exclusively in the unittest

* Correct the cmakefile

* Set the timeout of the unittest

* [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

* Update the unittest for auto mapping

* Remove unused rank_mapping unittest

* Improve the unittest coverage

* Improve the unittest coverage

* [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

* adapt auto search

* adapt auto search

* fix matmulv2 compatible

* del debug

* [Auto Parallel]  Add the unified cluster representation

* Add the local id for devices

* Add some comments

* fix autoconvert

* fix merge parameter

* add AutoConvert

* add unitest

* amend merge&slice

* amend default dist_attr

* update doc&improve coverage

* add interface dist_context

* tiny modify

* AutoParallel Save&Load

* tiny modi

* update func name

* tiny fix

* add NotImplementedError

* fix doc

* update func name

* update func param

* update interface

* add unitest & modi make_data_unshard

* update unittest

* update unittest

* fix unittest

* fix cmakelist

* update unittest

* 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>

* revise completion for backward

* revise completion for update

* revise completion for update

* update unitest

* 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
Co-authored-by: Nzhaoyingli <zhaoyingli@baidu.com>

* Add auto parallel cost model and unittests

* Fixed code styles.

* Fixed bugs and codes style

* fixed typo

* Improved code style: object encapsulation.

* Fixed codes.

* Refractored estimate_cost

* Fixed typo

* add reshard module

* fix conflict

* update reshard module

* update and add unitest

* update reshard module and unitest

* add more unitests

* update

* 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

* add auto_parallel dir

* mv to paddle.distributed

* add shard_xx api

* add distributed attrs for var

* add ut, test=develop

* add dist

* update

* update

* update

* update

* update

* update, test=develop

* update, test=develop

* update, test=develop

* update, test=develop

* update, test=develop

* update, test=develop

* update, test=develop

* update

* update

* update

* update

* update

* update, test=develop

* update, test=develop

* update

* update

* delete unused proto

* resotre op_desc

* restore type_defs

* update var_desc

* remove dimss_mapping for proto_pybind

* update interface.py

* update framework.py

* update

* update

* add auto_parallel dir

* mv to paddle.distributed

* add shard_xx api

* add distributed attrs for var

* add ut, test=develop

* [WIP] Add the auto completion feature and related codes

* [WIP] Improve the auto completion and related codes

* [WIP] Make the auto completion to support data-parallel

* [WIP] Make the completion support mp and dp+mp

* [WIP] Refactor auto completion unit test for MLP

* [WIP] Refactor the implementation of DistributedOperatorImpl

* [WIP] Improve dims_mapping update rule and fix a bug

* [WIP] Support auto completion for one transformer decoder layer

* [WIP] Add a minor change

* [WIP] Fix a bug within the uint test

* Shard XShape tensor, add embedding completion and refactor code

* Add the distributed_operators dir to setup.py.in

* Improve the completion process and add the unittest for gpt

* fix process_mesh ut

* fix process_mesh ut

* update

* update, test=develop

* Add support for automatically completing distributed attrs of special ops

* update

* update

* update

* fix doc sample codes, test=develop

* improve coverage, test=develop

* add static_mode check, test=develop

* Model the cluster for cost model and physical mapping

* update, test=develop

* add set_placement, test=develop

* Add the check to make sure the candidate tensors' size is great than zero

* update doc, test=develop

* update doc, test=develop

* update doc, test=develop

* update doc, test=develop

* update, test=develop

* Auto mark dist attrs annotated by user

* update ndarray to nested list, test=develop

* update, test=develop

* Add auto-completion module for auto-parallel (based on PR#33804)

* Remove unnecessary files

* Remove unrelated files for the auto completion pr

* Update the unit test to improve the coverage

* Modify codes based on reviews

* Minor changes for CI

* Improve some codes based on new comments

* Fix bugs caused by shallow copy in attributes.py
* Imporve amend_distributed_attr_for_program in context.py
* Other changes for weihang's comments

* support shard reader

* support shard reader

* add parallel mode

* update process mesh

* add method to compute comm_group

* implement dist_embedding forward func

* implement dist matmul forward func

* implement dist reshape forward func

* add transpiler framework

* add transpiler forward

* implement transpiler forward

* implement transpiler backward & update

* add process

* add unitest

* chmod

* chmod

* chmod

* update unitest

* add unitest for gpt

* remove unused print

* rename transpiler --> partitioner

* rename transpiler --> partitioner

* chmod

* chmod

* bug fixed

* remove amp function

* update case for dp mode

* update case for dp mode

* [Auto Parallel] Integrate all parts with the newest code

* Integrate all parts of auto parallel and improve codes

* Integrate all parts by AutoParallelizer
* Add unit test for AutoParallelizer
* Improve auto completion module for pipeline parallel
* Add support for matmul_v2 in dist_matmul
* Correct the typo "stratergy" to "strategy"

* Modify distributed_strategy.proto to conform the main stream

* Restore parts of distributed_strategy to conform the develop branch
Co-authored-by: Nsandyhouse <lilong12@baidu.com>
Co-authored-by: NJZ-LIANG <jianzhongliang10@gmail.com>