* fix new launch

* fix ps uit

* [Kunlun] Mofify some legacy code on distributed training

There were limitations on XPUs before, such as concat/split is not
supported, and c_broadcast only support fp32. These limitations are
lifted recently.

Multi-device profiling on XPU will also be supported by this PR.
Without this PR, a hanging broadcast will be issued by devices that
enables profiling, eventually lead to kernel timeout error.

* fix typo

* distribute best cfg

* adapt to multi args transmission

* update metric extracting

* fix bugs of prune and reading log

* fix time default value

* remove time record

* adjust the order of searching dim

* fix prune bugs

* fix adding cfg bug

* fix multi nodes bug

* reset status

* remove alarm and set logdir

* deepcopy ctx

* change alarm

* fix restart bug

* add exit

* best no need alarm

* add warmup time

* Support nvprof for auto parallel

* Fix CI errors

* Fix CI errors

* add phi operator c_concat and ut

* update create_var use

* update copyright

* Support AMP program for onnx QAT API

* Integrate QAT into distributed optimizer

* Reduce the size of test data and increase time limit

* Use logger and reduce time limit of unittests

* Rename and move unittest into fleet test

* Test qat_init API

* fix protobuf problem

* fix protobuf problem

* support sharding parallel

* fix name

* fix

* update

* test amp for sharding

---------

Co-authored-by: pangengzheng <pangengzheng.baidu.com>

* format correction

* variable names adjustment

* variable names adjustment, name-->type, value-->sub_program

replace the AdagradOptimizer 、adamaxOptimizer、AdadeltaOptimizer、RMSPropOptimizer、LambOptimizer and Momentum (#54152)

* replace the AdadeltaOptimizer with Adadelta

* replace the RMSPropOptimizer with RMSProp

* replace the LambOptimizer with lamb

* replace the momentum in contrib/optimizer.py with Momentum in python/paddle/optimizer/momentum.py

* fix bug

* fix bug

* fix bug

* fix bug of Lamp

* fix bug of Lamp

* fix bug of import

* replace the AdamaxOptimizer with Admax and change the optimizer base for AdagradOptimizer

* fix bug

* fix bug

* Update optimizer.py

* fix bug

* fix bug

* remove allreduce before c_allgather

* update reshard insert_fill_constant_op func

* insert_fill_constant_op add shape arg

* fix vpp mp init prob

* triger ci

* update dygraph collective

fix ut

* remove debug log

* add skip_gc_vars for 1f1b schedule mode

* add pp_degree and pp_stage

* add gc for multi jobs

* fix job.h

* update OpInfo to OpInOutInfo

* update get_skip_gc_vars algo order

* 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>

* remove the NaturalExpDecay in fluid

* fix bug

* remove the ExponentialDecay in fluid

* remove the InverseTimeDecay in fluid

* remove the InverseTimeDecay class

* fix bug

* 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

* add auto tuner

* compare and record module

* revert launch main

* add prune rule

* add unit test

* add auto tuner

* revert launch main

* add prune rule

* modify unit test script

* fix bug for dump nodes; fix bug for checking log file

* fix bug

---------
Co-authored-by: Ncaozhou <caozhou@radi.ac.cn>

* no endpoints in dy mode

* fix fleet api inconsistent

* Run plan in standalone executor

* Update codes

* Update atol and rtol for py3-CI

* Add scope to cache key

* Fix CI errors

* Fix code style

* Update codes

* Remove fetch_name in standalone executor

* Fix UT

* Update codes

* Fix new IR bug