Cherry-pick 46541
保证Reset50 TSM deeplabv3模型零修改下实现Layout自动调优

* [PHI] Migrate gelu kernels (#45596)

* gaussian random

* mkldnn to onednn renaming

* fix merge conflicts

* remove fluid code

* onednn renaming

* gelu fwd

* sort activations

* gelu gradient

* remove unused macros

* merge conflicts

* fix merge conflicts

* remove extra contraint from gelu op

* [PHI] relu6_grad kernel (#46501)

* Relu6

* remove fluid handler

* add individual kernel signature

* coding style

* replace bounded_relu with clip

* whitespace

* code style

Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* fix concat bug

* fix ci bugs

* fix ci bugs

* fix gather op convert to only support int32 index as input.
* add ut

[cherry-pick] [PHI] Migrate concat+grad, expand+grad, fill_constant … oneDNN kernels (#45863) (#46727)

* [PHI] Migrate concat+grad, expand+grad, fill_constant, nearest_interp and bilinear_interp oneDNN kernels (#45863)

* Migrate concat+grad, expand+grad, fill_constant, nearest_interp_v2 and bilinear_interp_v2 oneDNN kernels to PHI

* Remove old namespace variable

* Fix invalid out dims error

* Add mutable_data method to concat output

* Add check for -1 dim before computing out_dims

* Capitalize oneDNNGetDataType function name

* Change fill_constant kernel to correct PHI kernel

* Attempt to fix dims error

* Fix fill_constant (full) kernel

* update dependencies
Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* [PHI] Migrate sgd and stack oneDNN kernels (#46374)

* Convert slice+grad oneDNN fluid kernels to PHI

* Change mutable_data to Alloc

* Refactor licences

* update dependencies
Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* Convert split, pad and pad3d kernels

* Convert slice+grad oneDNN fluid kernels to PHI

* change out->mutable_data to dev_ctx.Alloc
Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* init

* remove softmaxop

* merge dev

* correct dir

* style

* First approach

* Shape kernel corrected

* Compilation error fixed

* Resize corrected

* Registered types added

* Mistake corrected & types added

* sum kernel deleted
Co-authored-by: NPaulina Gacek <paulina.gacek.pl@gmail.com>

Add FP16 support for uniform in dygraph mode on Nvidia GPU
Dev PR link PR46212

* set flag of clip_extra in save_inference_model to true (#46151)

* open the clip_extra flag in paddle.static.save_inference_model, test=allcase (#46456)

* Open the clip_extra flag in TracedLayer.save_inference_model (#46473)

* open the clip_extra flag in paddle.static.save_inference_model, test=allcase

* set the defalut value of clip_extra in TracedLayer from False to True, test=allcase

* update english doc of paddle.static.save_inference_model, test=document_fix (#46484)

* Fix clip_extra logic in remove_training_info (#46534)

* fix clip_extra code in remove_training_info

* revert rnn opmaker clear

[CherryPick][Fix] Remove std::trunc() in FloorDivideFunctor and InverseFloorDivideFunctor (#45051) (#46504)

* fix libpaddle soname mismatch error

* fix windows failed

* polish linux and windows make impl

* unify winddows lib name

* fix windows error

* revert copy dst change

* revert naming change

* revert windows change

* fix gpups compile failed

[cherry-pick] Clear extra attrs of some ops in OpMaker (#46150, #46321, #46418, #46451, #46457) (#46553)

* Clear extra attributes of some Op in OpMaker (Part4) (#46060)

* clear extra attr of some ops in opmaker

* revert clear use_cudnn for pool

* fix test_operator_desc

* fix Attr interface of OperatorBase

* clear extra attrs of condition op in opmaker (#46150)

* Clear extra attrs of lookup_table_v2 in OpMaker (#46321)

* clear extra attrs of look_up_table_v2 in opmaker

* fix bug

* clear extra attrs of quantize op in opmaker (#46418)

* delete repeated item

* clear extra attrs of distribute op in opmaker (#46451)

* clear extra atts of sequence_softmax in opmaker (#46457)

* Clear extra attrs of elementwise op in OpMaker (#45845)

* clear extra attrs of elementwise op in opmaker

* fix op_debug_string_test

* fix bug of grad_add

* fix sort of runtime attrs

* Clear extra attrs of scale in OpMaker (#45984)

* clear extra attr of scale in opmaker

* fix sum bug

* fix merge conflict

* fix minus

* Clear extra attributes of some Op in OpMaker (Part4) (#46060)

* clear extra attr of some ops in opmaker

* revert clear use_cudnn for pool

* fix test_operator_desc

* fix Attr interface of OperatorBase

* fix code stype

* fix sub sign reverse for mkldnn

* refactor code as comment

* remove useless

* unexpose audio ParameterError

* clean audio utils api

* [BugFix]Fix reduce_mean/min/sum/prod, cumsum grad_op infershape bug

* fix typo

* fix typo

* fix bugs of mp

* fix bugs of mp

* update

* update

* fix bug

* [JitLayer]Erase out vars to avoid data rewrittinig

* Fix code comments

Co-authored-by: Zhou Wei <1183042833@qq.com>

This reverts commit a2b2af90.

* fix cast bug

* [XPU] update xdnn activations. (#46246)

* [XPU] update xpu cmake. test=kunlun

* Move ITensor construction for Weight (persistable variable) from OpConvert to TensorRTEngine.

* polish code comments

* polish data_device_transform.cc

* [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.