* add layer norm infermeta

* add layer norm yaml

* polish layer norm infer meta

* add layer norm to black list

* add python share_data interface

* Update inference_api.cc

* Update inference_api.cc

* add python share_data interface

* exchange assign and assign_raw kernel name

* fix register error

* perform SlotRecordInMemoryDataFeed feedvec;test=develop

* init commit no push

* collect comile errors

* bitwise UT

* fix compile problem

* cancel comments

* restore miss deletion

* fix compilation

* fix UT

* NO stash in multiple branch at the same times

* fix error

* combine .cu from gpu and kps

* replace gpu by kps

* fix by Chen-weihang

* Revert "Fix kps compile error in Junhui logic compare bitwise"

* fix backend test

* rm comments
Co-authored-by: NChen Weihang <chenweihang@baidu.com>

* add trt supoort for slice op

* fix:output dims bug

* fix: test

* fix:for c++ coverage

* fix:c++ coverage

* fix: fix test bug

* fix: CI test

* [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad

* Fixed elementwise issue

* Addressed CI failures

* add context pool unittests

* fix timeout

* polish details

* change option pos

* add dll decl for wndows

* fix pre-commit error

* move dll_decl and export DeviceContext

* replace lost dll_decl.h

* [Phi]Fix beta1_pow/beta2_pow/skip_update data transform problem in adam/adamw

* fix xpu unittest failed

* fix_paddle_numel_check

* fix_paddle_numel_check

add a inner loop for index_select_grad_init() in index_select op when dealing with large-shape data (#41563)

* replace for with CUDA_KERNEL_LOOP for index_select_grad_init() in index_select op

* use CUDA_KERNEL_LOOP_TYPE

* fix code style

* replace index_select_grad_init with SetConstant

* add new method for custom double grad

* add tanh double grad unittest

* change year

* revert tensor init method

* support setting vector out size in yaml

* support setting size of vector<tensor> for out in yaml

* add no need buffer

* add no need buffer

* remove determinant no need buffer

* add multi_dot,maxout,multiplex yaml

* add code converage

* Modify op-benchamrk script

* fix

* add assign yaml

* add assign api

* add assign backward api

* add assign

* add assign yaml

* add assign

* assign yaml

* add assign raw kernel and use assign_raw in yaml

* merge develop branch

* add missing python_api

* gather op

* add mod

* [Yaml] final state for uniform and uniform_random