* adamw support cuda

* adamw support cuda

* add rmsprop npu

* add argsort npu

* add argsort npu

* modify according to review

* modify sharedatawith according to review

* modify reshape according to review

* rm dygraph=false

* [NPU] Support npu kernel for pad3d op

* fix for comment of zhouwei25

* fix some bugs according to qili93's comments

* add support and test for paddings in input

* delete VLOG used for debug

* add depthwise_conv2d npu

* add some tests

* Delete test_unique_op_npu.py

* delete trans input

* [NPU] Support npu op where and where grad

* fix use const_cast

* delete a test

* add (N,C,*) input support for GroupNorm

* --amend

* add npu sin op

* [NPU] Support npu kernel for sin op

* modify support npu kernel for sin op

* modify support npu kernel for sin op

* modify nou sin op

* modify npu sin op

* add sin op npu

Add dimension check for inverse to avoid dividing by 0 error when input's shape is [0, 0, 0]. (#34996)

* fix batch_norm and instance norm when input is []

* [npu]add rmsprop op

* Add NPU kernel for norm Op: float16 and float32

* fix code for code review

* fix for code review

* add type for paddle_throw

* remove unnecessary head file.\nAdd more testcase

* remove a broadcast

* fix pad outliers err

* fix pad api input type and doc

* fix example of pad

* add unittest for pad3d

* fix unittest

* fix error format

* fix pad doc

* test=develop

* test=develop

* test=develop

* test=develop

* add retry for HcclGetRootInfo

* refine code

* reduce retry interval

* support class center sample of PartialFC

* copy boost optional.hpp to paddle

* copy boost optional.hpp to paddle

* move directions

* del fluid/utils

* modify .hpp to .h

* move directions

* modify to paddle::optional

* add modification description

* format code stype for the files in paddle/utils

* format code stype

* - disabled caching of layer norm

- fix in compilation

- compilation fix

- transpose caching disabled

- compilation fix

- more compilation fixes

- sum caching disabled

- compilation fix

* - LRN with disabled cache

* lint fixes

* [bug fix] fix unfold negative_size_param

* dygraph support more ctc grad scale

* scale for 1.x

* fix unitest

* fix unitest

* format code

* fix unittest

* fix log info

* unittest cov

* fix format;notest,test=cpu,coverage

* skip ctc_loss egs;test=cpu

* warpctc grad cov;test=coverage

* add dygraph test;test=coverage

* format;test=cpu,coverage

* format;test=cpu

* add api compat;test=cpu

* add cpu test

* rename

* rename

* fix

* fix test

* format

* eigen cpu

* eigen gpu grad pass

* cuda gpu pass

* format

* fix ci

* add inplace passes and tests

* update

* fix use_cuda undefined
fix compile error of op compat

* add more ut

* fix CPU CI error

* check adam unique

* fix mac/windows ci, improve coverage

* fix ci error

* follow weihang's comment

* fix BlockDesc::MoveFrom

* follow qiuliang's comment

* update

* follow huihuang's comments

fix a bug in nlp: text_matching/sentence_transformers when last dim is 1 and reduce mid dim (#34941)

* Fix typos in english docs for diag and diagflat.

* [NPU] Support npu op:(1)arg_min (2)arg_max

* Modify and add unit test cases

* Modify unit test cases

* change bilinear thread for nano and tx2

* change bilinear thread for nano and tx2

* add size npu op

* modify support data type

* no longer use NPU size OP

* remove useless comments, add test case

* fix copyright, remove useless include

* - Added softmax without caching

* - Binary is no longer manually cached

* - Activation onednn caching removed

* - Removed manual caching of activation

* - modified UT

* - fix

* - fix

* - fixes to building

* - fix

* - fix

* - fix to UT

* - Faulty UT workaround

* - approval workaround

* - Fixes after review

* - compilation fixes

* - more lint fixes

* - more fixes after review

* - fixes after another round of review

* - hopefully compilation fix

- compilation fix

* Add NPU kernel for nearest_interp op

* Add grad op

* Modify codes according to the review comments

* Modify codes according to the review comments