[cherry-pick][hybrid performance] Grad fuse for gradient merge under pipeline mode (#35004) (#35299)

[cherry-pick][Hybrid Performance] Move the cast op of AMP which cast fp32 param to fp16 param to the optimizer (#34965) (#35296)
Co-authored-by: NWangXi <wangxi16@baidu.com>

* support 1f1b for pipeline

* add utest

* add send_partial/recv_partial

* support amp for pp

* fix logger

* add trainer desc config to distributed strategy

* code style modified

* dygraph sharding

* update unitest hybrid_parallel_communicate_group

* add pplayer

* add sharedlayerdesc

* modify API nn.Bilinear's doc, test=develop

* support ssd in PsCore

* remove log

* remove bz2

* defalut value

* code style

* parse table class

* code style

* add define

* fix pipeline

* fix mp pp dp

* fix utest of hybrid parallel

* add utest for tuple

* fix precision of mp

* fix bug of seed

* fix dp

* print group

* fix cpp lint
* fix save/load with unexpected value
* fix save and user interface

* fix find_unused_parameters default value

* add raw program, test=develop

* fixed docs.

* Fixed docs. test=document_fix

code bak.

fixed docs. test=document_fix

* Revert to previous version of python/paddle/fluid/backward.py

* fixed bugs.

* test=document_fix. Fixed examples.

* add pp dygraph, test=develop

* add pipeline layer

* update

* add clip/check

* add amp & clip grad in dygraph

* add logging

* sharding: update config DOC

* update pipeline config

* sharding update doc

* support dp & mp

* add model parallel support in dygraph

* Ascend rc (#30483)

* Fix compilcation on CANN20.1 and older (#30494)

Fix compilcation on CANN20.1 and older

* Add distribution supported (#30578)

Add distribution supported

* Build praser for Hcom* operators (#30627)

Build praser for Hcom* operators

* Pass device_ids info from launch to trainer. (#30632)

Pass device_ids info from launch to trainer

* Add Hccl program group (#30642)

Add Hccl program group

* Add startup bash files of test_ascend_group. (#30645)

Add startup bash files of test_ascend_group

* cleanup (#30646)

cleanup test_ascend_group.py

* [Feature] Build parser to support distributed training (#30658)

[Feature] Build parser to support distributed training

* fix compilation on ascend-20.1 (#30722)

fix compilation on ascend-20.1

* Dev/fix ascend string (#30749)

Dev/fix ascend string

* code style (#30781)

code style

* Merge ascend_optimizer and ascend_parser. (#30776)

Merge ascend_optimizer and ascend_parser.

* Ascendrc add converted op : [range/equal/range/uniform_random/expand/squeeze], fix cast op bug  (#30797)

Ascendrc add converted op : [range/equal/range/uniform_random/expand/squeeze], fix cast op bug

* Add paddle ascend distribution training supported (#30796)

Add paddle ascend distribution training supported

* pass cxx_flags to gloo cmake (#30857)

* Destroy session first. (#30954)

Destroy session first.

* merge

* fix, test=develop

* fix, test=develop

* fix style, test=develop

* fix, test=develop

* fix

* fix log fatal, test=develop

* fix enforce style, test=develop

* fix, test=develop

* fix, test=develop

* fix rccl, test=develop

* fix test, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix node_num, test=develop

* fix ids str, test=develop

* fix ids str, test=develop

* fix ids str, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix style code, test=develop

* fix style code, test=develop

* fix style code, test=develop

* fix style code, test=develop
Co-authored-by: Nhutuxian <hutuxian2011@sina.cn>
Co-authored-by: Ngongweibao <weibao.gong@gmail.com>
Co-authored-by: NVoid Main <voidmain1313113@gmail.com>
Co-authored-by: NLeo Chen <chenqiuliang@baidu.com>
Co-authored-by: Ndingsiyu <18369187719@163.com>
Co-authored-by: NOleNet <olenet@126.com>

* support hyparallel, add topology

* fix utest

* support control flow

* supoort sync_parameters_buffers

* fix the bug of sparse embedding

* upgrade vlog

* train from dataset fetch optimize

* update, test=develop