* polish code comments

* polish data_device_transform.cc

* [Auto Parallel] Change the import way of Auto Parallel (#46115)

* fix strategy (#46256)

* [Auto Parallel] performance improvement for Sharding-DP hybrid parallelism (#46180)

* remove no need grad allreduce communication when sharding-dp

* remove no need grad allreduce communication when sharding-dp

* bugfix

* bugfix

* bugfix
Co-authored-by: NYulong Ao <aoyulong@baidu.com>
Co-authored-by: NJZ-LIANG <jianzhongliang10@gmail.com>

* [Eager] Fix ocr (#46124)

* fix linspace error in amp

* fix log

* fix amp error

* fix ocr error which caused by amp

* add more check

* rename dtype ns

* [Eager Bug fix]Fix Detection (#46147)

* fix linspace error in amp

* fix log

* fix amp error

* Revert "Simplify size op impl (#45808)"

This reverts commit c252b1de.

* fix_seg

* fix detection
Co-authored-by: NChen Weihang <sunny_cwh@163.com>
Co-authored-by: NChen Weihang <sunny_cwh@163.com>

* Fix bug of reduce_sum op. When input.numel() > INT32_MAX,
its result is wrong.

* Cherry-pick of PR 46045

* Fix bug of reduce_sum kp op.

* Fix bug of reduce_sum kp operator compilation.
If compilation device is XPU, eigen kernel should be ignored.

* Support matmul_v2 in Paddle-TensorRT converter.

* add config

* add config

* follow comments

* fix serial run

* Fix TransDataBackend Error when call unsqueeze using MKL Tensor

* Add UT

* Refine UT

cherry-pick : #46016, #46021, #45974

* [Sparse]Sparse add support gpu (#45974)

* [Sparse]Remove unused code (#46021)

* [Sparse] Add infer meta (#46016)

* fix linspace error in amp

* fix log

* fix amp error

* support cast op backward refuse forward and fix some bugs (#46173)

* support cast op backward refuse forward

* Fix the bug of high order unit test framework

* support sign op backward refuse forward (#46002)

* fix preln_residual_bias_fuse_pass bug in TNT_small model

* add scope cache & reuse

* add gc scope for end of each train step

* del scope reuse for jit

* refine code

* test

cherry-pick from #45826
LayoutAutotune 支持 inplace 类型的OP
 根据 Add eager layout autotune #45409 修改意见调整UseAutotune
将LayoutAutotune判断放到controller中，与AMP 判断保持一致

* fix static_check error when compile twice (#46140)

* [CI] fix static check in build_pr_dev (#46192)
Co-authored-by: Zhou Wei <1183042833@qq.com>

* fix wrong eigen header include

* fix complie bug

* fix nan_inf_utils_detail

* fix resource_manager

* fix conv_miopen_helper

[vision.ops.nms] Fix return order error and duplicate results with specific inputs (#46148) (#46193)

* fix return order error and duplicate results with specific inputs

* [cherry-pick] extend reduce_sum,reduce_sum,eq,ne,ge,abs,pow,etc higher order operators

* add reduce_mean,reduce_sum primitive ops
* add ne_p gt_p primitive operators
* add ge_p abs_p primitive oparators
* add cast primitive operators
* add pow,square prim2oirg rules
* add elementwise_div orig2prim rule

* [cherry-pick] add mean,sum,ge,gt,ne,abs,etc higher-order differentiation operators(#45888)

* add reduce_mean,reduce_sum primitive ops

* add ne_p gt_p primitive operators

* add ge_p abs_p primitive oparators

* [dy2static] support user to use decorator in their program (#45768)

* support deco

* fix deco ast type

* arg_str

* 1

* support callable deco

* code style

* codestyle

* test_error

* fix decos in another file

* recover conflict codes

* [BugFix] fixed a bug in decorator transformer, it can not analyze decorator with params correctly (#46055)

* fix deco call

* add raise

* add test

* add warn, fix paddle api

* fix error type

* fix coverage

* add unit test for sum higher level op (#45961)

* support slice op backward refuse forward and add high level unit test (#45960)

* support tile op backward refuse forward (#45942)

* support expand_v2 op backward refuse forward (#45941)

* support concat backward refuse forward (#45940)

* [PHI] Support bmm and bmm_grad in xpu (#45887)

* support bmm and bmm_grad in xpu

* add error removal

* test=kunlun

* refactor code for better structure

* test=kunlun

* add fp16 kernel for bmm

* test=kunlun

* test=kunlun

Co-authored-by: NRichardWooSJTU <37864677+RichardWooSJTU@users.noreply.github.com>

* refactor mp.

* update setup.py.

* update mp_layers.py for compatibility.

* add documents for mp_layers.py

* update init.py

* update collective.py.

* update.

* update mp_ops.py

* update.

* update code style.

* update code style.

* [AutoParallel] adapt gradient merge pass (#45915)

* adapt gradient merge

* fix op_role

* fix strategy

* [Auto Parallel] Gradient Fuse Allreduce (#45643)

* bugfix (#45332)

* dist embedding support lookup table v1

* add unitest

* customize wait_comm

* group gradients

* bugfix

* update program

* [Auto Parallel] Improve the APIs (#45776)

* [Auto Parallel] Use c++ dist attr in the completion process

* [Auto Parallel] Add minor changes

* [Auto Parallel] Use c++ dist attr in the completion process

* [Auto Parallel] Add minor changes

* [Auto Parallel] Add the serialization process for dist attrs

* [Auto Parallel] Remove unnecessary comments

* [Auto Parallel] Fix some bugs

* [Auto Parallel] Fix the code style

* [Auto Parallel] Remove unnecessary impls

* [Auto Parallel] Fix the importing error

* [Auto Parallel] Fix the copy from bugs of op dist attr

* [Auto Parallel] Replace the use of constexpr if

* [Auto Parallel] Redesign the shard_tensor, shard_op and ProcessMesh

* [Auto Parallel] Change API of the completion unittest

* [Auto Parallel] Fix the bug when set_attr an int

* [Auto Parallel] Add the unittest for the serialization

* [Auto Parallel] Add some unit tests

* [Auto Paralle] Unify the strategy

* [Auto Parallel] Improve the engine api

* [Auto Parallel] Reset the changes made to the framework

* [Auto Parallel] Change the engine unittest

* [Auto Parallel] Update API of the completion and partitioner

* [Auto Parallel] Update unit tests using engine api

* update shard annotation

* [Auto Parallel] Remove the modifications of other modules

* [Auto Parallel] Add docs for APIs

* add new strategy

* [Auto Parallel] Replace the logger

* [Auto Parallel] Restore the test_program.py

* [Auto Parallel] Change the import rules

* [Auto Parallel] Add the examples for Engine

* [Auto Parallel] Do some minor changes

* [Auto Parallel] Remove yaml dependency

* [Auto Parallel] Fix the unittests

* add valid after train

* bug fix
Co-authored-by: Nzhaoyingli <zhaoyingli@baidu.com>
Co-authored-by: Ncaozhou <caozhou@radi.ac.cn>
Co-authored-by: Ncaozhou <48191911+Caozhou1995@users.noreply.github.com>

* [Auto Parallel] Bugfix allreduce fuse for MP (#46086)

* bugfix

* bugfix

* typos fixed

* update strategy (#46138)
Co-authored-by: Nzhaoyingli <86812880+zhaoyinglia@users.noreply.github.com>
Co-authored-by: NJZ-LIANG <jianzhongliang10@gmail.com>
Co-authored-by: Nzhaoyingli <zhaoyingli@baidu.com>
Co-authored-by: Ncaozhou <caozhou@radi.ac.cn>
Co-authored-by: Ncaozhou <48191911+Caozhou1995@users.noreply.github.com>

* make eager log readable

* fix compile error

* recover test

* invoke ci again

This reverts commit c252b1de.

fix bug for TransformedDistribution

* unify  core_avx and core_noavx

* fix except error

* revert mac compile logic

* revert dylib to so

* add core_noavx branch

* remove core_noavx

* replace paddle_core by lib paddle

* polish var name

* replace paddle_core by libpaddle

* update custom device commit

* polish code by comments

* back fl

* delete ssl cert

* .

* make warning

* .

* unittest paral degree

* solve unittest

* heter & multi cloud commm ready

* .

* .

* fix gloo compile warning

* adapt for nn fl-ps