* standard api

* fix ci bugs

* fix ci bugs

* fix ce bugs

* add unittest for einsum-v2-trace and diagonal

* repeat labels.

* einsum support repeated labels.

* forward is ok for diagonal and undiagonalized.
TODO: check backward is ok by our theorem.

* backward is ok!

* fix by PR suggestions.

* fix ci error

* fix ci error

* fix ci warning

* fix predictor memory write overflow

* feat: add int8 support for vit

* test:add test

* [CustomDevice] GetCCLComm add custom device support

* update

* update

* update

* optimize: vit 384

* fix:bug

* fix:bug

* fix:supoort rocm complie

* refactor:name

* fix:support rocm

* fix:__HIP_NO_HALF_CONVERSIONS__

* optimize: delete scalar

* fix:rocm can't support

* fix:ernie error

* [Auto Parallel] Improve the c++ dist attr

* [Auto Parallel] Modify test_program.py

* [Auto Parallel] Add the missiong import

* replace executor in conditional_block_op.run with standalone_executor

* add block_id as the argument of standalone executor's method run; add print for program

* fix scope bug about conditional block op

* fix bug: unnecessary return of fetch value

* fix typo

* fix: quantization will set variable persistable, and these variables must exist in global scope

* add interpretercore cache for conditional block op but not activate in default

* fix bug: local scope reuse for conditional block op

* reset scope when conditional block op runs

* fix typo

* fix typo and code style

* add build scope for conditional block op

* add skip for transfer_layout kernel

* refind code

* fix reset_scope

* fix reset_scope

* refine code

* refine code

* refine code

1. remove flag use in conditional_block_op
2. pass execution_config to BuildOpFuncList instead of individual parameter

* refine code

* remove the use of FLAGS_control_flow_use_new_executor_cache

* change FLAGS_control_flow_use_new_executor to false

* fix typo `Fasle`/`Flase` -> `Flase`

* fix typo `Ture` -> `True`

* fix python module not found bug

* delete unused cast,test=allcases

* [JITLayer]Enable OneDNN on CPU and Fix zero shape

* remove VLOG

* fix no sync bugs

* update

* update task chain

fix: update wait chain

feat: add `GetDeviceContext` for gloo

* fix oom

* fix dev

* update

* update
Co-authored-by: NLiYuRio <liyuruijx@163.com>
Co-authored-by: NForFishes <2282912238@qq.com>

* generate static graph code for some activation op

* fix example code of cosh

This reverts commit a2b2af90.

* add predictor_engine

* add predictor_engine

* fix zero shape

* fix lodTensor

* fix unittest

* fix code style

* update CmakeList

Fix abnormal growth of memory in train mode and no_grad for Dy2St

* make all cpp tests dynamic linked to libpaddle.so

* add comments

* keep old cc_test for some tests

* fix some ut

* make some ut use cc_test_old

* fix typos and fit for win32

* fix lib path

* fix some tests

* skip lite test

* fit for rocm

* fit for cinn

* fit for mac

* fit for win32

* skip inference ut

* skip  windows

* fix coverage

* test,test=ljd_test

* modify get_ut_file_map.py,test=ljd_test

* modify paddle_build.sh,test=ljd_test

* test,test=ljd_test

* update precise test logic,test=ljd_test

* it is a test,test=ljd_test

* it is a test,test=ljd_test

* it is a test,test=ljd_test

* it is a test,test=ljd_test

* it is a test,test=ljd_test

* it is a test,test=ljd_test

* precise test logic update

* - halfway transforming transpose grad

- Fixes

- buildable

* - lint

* rerunning the process

* fix reduce_any kernel data race on sharedMem

* use bit operation instead of div & mod

* unbranch

* modified according to PR comments

* fix compile error of mkldnn

* fix tensorrt error

* prelnlayernorm_shift

* add ut

* remove paddle_enforce

* remove useless

* add UT

* remove UT

* add UT

* set timeout

* fc/matmuls + scale fuse pass

* remove double-extension

* add unit tests

* comments from review

* codestyle

* add pass to int8 list

* new codestyle

* attr name typo

* remove prior_box mkldnn hard code

* add header file

* simplify PD_VISIT_TYPE

* decouple dependency between prior_box and density_prior_box

* fix pragma omp parallel error

* bypass #pragma omp_parallel_for error

* polish code

* remove visit_type headerfile

* polish codestyle

* polish codestyle

* try fix CI error

* add testcase, datatype=float64

* reset test_prior_box testcase

* add datacheck to DenseTensor

* update template name

* call prior_box with macro expand