* [cmake] add third party jitify cache

* fix bug

* fixed

* fix bug

* fix hsigmoid_loss

* add test into whitelist

* fix whitelist

* update broadcast gloo in dygraph

* update

* update reduce gloo in dygraph

* update reduce gloo in dygraph

* update

* update allreduce allgather

* update all

* update

* update

* update

[XPU][PHI Kernels] bind reduce_max_int64 set_value_bool sin_grad_fp32 cos_grad_fp32 for XPU (#55375)

* bind kernels for xpu

* format code

* format code

* 0d support for set value

* refine set_value

* [Kunlun] Mofify some legacy code on distributed training

There were limitations on XPUs before, such as concat/split is not
supported, and c_broadcast only support fp32. These limitations are
lifted recently.

Multi-device profiling on XPU will also be supported by this PR.
Without this PR, a hanging broadcast will be issued by devices that
enables profiling, eventually lead to kernel timeout error.

* fix typo

* base rule

* add sharidng merge

* add sharidng axis merge

* define unified data class for inferencing dist_attr

* test wrap DistTensorSpec in dygraph mode

* matmul main logic done

* shape int64

* common cc

* define unified data class for inferencing dist_attr

* test wrap DistTensorSpec in dygraph mode

* define python api and wrap function in static mode for DistTensorSpec

* revise syntax

* map bugfix

* broadcast func

* compile 1

* add unitest

* add registry

* update unitest

* bugfix

* bugfix

* add pybind

* bugfix

* bugfix macro gloabl name space

* bugfix macro gloabl name space

* pybind

* pybind test

* pybind bugfixed1

* pybind bugfixed2

* pybind unitest

* merge dev

* merge dev

* merge dev

* fixed cmake conflict

* fixed cmake conflict

* rename get method

* revise inferforward output type

* revise comment

* replicated rule

* replicated rule 2

* revert bug deps

* add rule

* add unitest

* add rule

* add unitest

* move ut of auto_parallel

* fix ut

* bugfix

* bugfix

* bugfix

* bugfix

* bugfix

* bugfix

* bugfix

* resolute input sharding conflict maybe

* fixed comment

* add rule

* add unitest

* fixed typoes

---------
Co-authored-by: NYichen Zhang <zhangyichen03@baidu.com>
Co-authored-by: Nzhiqiu <chenqiuliang@baidu.com>

* add interface

* add code

* add code

* add code

* add code

* fix bug

* fix bug

* add var prefix

* Update op_compat.yaml

* Update op_compat.yaml

* fix

* fix

* fix

* fix

* fix

* fix coverage ci

* add test case

* add interface

* add code

* add code

* add code

* add code

* fix bug

* fix bug

* add feed with place op

* remove useless unitest

* udpate mkldnn

* update

* add enable_static

* remove useless test case

* register int and doubel type

* fix bug

* polish dist_tensor details

* add unittest for coverage

* revert uselesss change

* skip test without dist

* Add gpups ci test script

* test=gpups

* test=gpups

* test=gpups

* test=gpups

Signed-off-by: Njjyaoao <jjyaoao@126.com>

Signed-off-by: Njjyaoao <jjyaoao@126.com>

* add paddle.static.setitem

* add some help doc

* support setitem

* support machanism

* add more unittest

* remove usless code

* raise error in static setitem

* fix d2s UT

* remove static only for both-used code

* fix bool set_value in static, fix set_value_op UT

* fix unittests

* [May case some error]: remove inplace-version check

* add two test case for dy2st

* fix function in vision

* fix dy2st setitem support, refine UT case

* fix slice in static_mode

* add ParametersMap

* remove pop

* modify place

* [fix]: variable is also a tensor

* rewrite some ut & remove slicetransformer in dy2st

* solve error in static-mode

* fix ut

* return a result for set_array_write

* fix test_set_value_op_xpu

* code is different in dynamic / static mode

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: NNotHaozi <zhangmenghao@baidu.com>

* delete relu6_raw

* fix codestyle

* Update test_mkldnn_matmul_activation_fuse_pass.py

* fix

* Update backward.yaml

* Update ops.yaml

* Update backward.yaml