* bind ir core

* perfect code

* deal with conflict

* Add py3.10;test=py3-ninja

* Add py3.10;test=py3-ninja

* test=py3-ninja

* test=py3-ninja

* test=py3-ninja

* test=py3-ninja

* test=py3-ninja

* Fix test error

* Fix build docker error

* Fix build docker error

* Call multiply_ instead of scale_ to avoid multiple DtoH copy.

* Call _squared_l2_norm to calculate grad_clip.

* Fix import error.

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

* add shard tensor api

* add DistAttr api

* add unittest for coverage

* fix process mesh sample code

* fix checking error

* fix new launch

* fix ps uit

* [尝试] 给tensor增加一个属性, 这个属性是一个定值 1

* 暴露gradnode 并构建gradnode新的方法(用来测试)进行暴露给python python端可以访问

* 开发grad_fn、next_functions两个API 并暴露到python端- 做一些规范化处理

* 增加一个单元测试

* 优化 code-style

* 将单侧文件迁到正确的位置

* 优化 code-style

* 删除无用注释

* 解决 __main__ has no attribute

* 修改单侧文件

* 修改单侧脚本-temp

* [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

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>

* add_example_for_lazygurd

* fix

* batch add inpalce api

* fix inplace fn generate

* add test for  new inpalce api

* fix typro

* fix typro

* fix typro

* fix test error

* fix atan2

* remove atan2

* auto genereate inpalce api

* fix inplace generate fn error

* fix windows error

* fix test error

* fix test error

* fix windows ci error

* fix test error

* fix test_error

* fix test error

* fix eigen aliasing error in inplace

* remove elementwise_pow inplace

* fix doc error

* fix test error

* fix new ir concat op bug

* fix bug

* using add_n_with_kernel instead of add_n impl

* fix pd_op yaml bug

* fix bug

* [Add]Add Xdoctester

* [Fix]fix beta docstring

* [Doctest]change dirichlet docstring

* [Doctest]change gumbel docstring

* [Doctest]change bernoulli docstring

* [Doctest]change categorical docstring

* [Doctest]change ops.py docstring

* [Doctest]change conv docstring

* [Doctest]change distance docstring, test=docs_preview

* [Change]add ref

* [Change]patch xdoctest debug

* add more data type for all/any.

* remove xpu fix.

* add test unit.

* fix typename name.

* fix output data type.

* distribute best cfg

* adapt to multi args transmission

* update metric extracting

* fix bugs of prune and reading log

* fix time default value

* remove time record

* adjust the order of searching dim

* fix prune bugs

* fix adding cfg bug

* fix multi nodes bug

* reset status

* remove alarm and set logdir

* deepcopy ctx

* change alarm

* fix restart bug

* add exit

* best no need alarm

* add warmup time

* Support nvprof for auto parallel

* Fix CI errors

* Fix CI errors

* [prim]support fp16 for instance_norm and instance_norm_grad

* support fp16 and bfp16 dtype for instance_norm prim rules

* fix new ir test

---------
Co-authored-by: Ncxxly <chenxx_id@163.com>

* add phi operator c_concat and ut

* update create_var use

* update copyright

* Support AMP program for onnx QAT API

* Integrate QAT into distributed optimizer

* Reduce the size of test data and increase time limit

* Use logger and reduce time limit of unittests

* Rename and move unittest into fleet test

* Test qat_init API

* fix protobuf problem

* fix protobuf problem

* squash pick the poc code
* fix build after rebase
* fix int8 conv and fc uts
* Fix and clean-up Get_SRC_Scale_Memory
* fix floating point fc uts
* fix test_analyzer_int8_googlenet
* test_analyzer_int8_mobilenetv1
* fix int8 mobilenet v2 and v3
* fix build error after rebase
* [oneDNN] rename library version
* fix conv bias datatype
* try to fix import error
* fix rebase error
* [oneDNN] pack library into python wheel
* add MKLDNN_SHARED_LIB_3 to env_dict
* fix test_analyzer_bert
* fix fill_constant op kernel
* fix ernie and matmul op ut
* fix softplus ut
* fix conv+relu6 fusion ut
* fix hardswish fusion
* fix quant+transpose fusion ut
* fixsgd ut
* fix int8 matmul with flatten
* fix fc+scale fusion
* fix conv/matmul+gelu fusion uts
* fix rebase error
* Revert "fix conv/matmul+gelu fusion uts"
This reverts commit 47eb5e49972bd8f7271a233def9bfb3e98ce78e1.
* upgrade to onednn v3.1
* remove older version onednn
* use densetensor::data() for achieving mean and var in layernorm impl
* comments for atol of integer tests
* fix clang-format
* Revert "remove older version onednn"
This reverts commit 783e57ddfd4401254596eae7d47adb9b03590c09.
* improve binary handle
* fix expand kernel
* Revert "use densetensor::data() for achieving mean and var in layernorm impl"
* always use forward_inference for conv
* remove activation scales
* rollback changes to mkldnn.cmake
* address comments
* port changes to dequantize kernel
* fix merge error
* fix fused_elementwise_kernel
* upgrade onednn version to v3.1.1
* fix some approval error
* fix error msg format
* remove old onednn libs
* try to fix symbolic link issue
* fix cinn test case segfault
* do not explicit link test with onednn
* remove unnecessary changes
* integrate CINN with onednn v3
* link with mkldnn project
* fix cinn build file

---------
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>
Co-authored-by: NChen, Xinyu1 <xinyu1.chen@intel.com>
Co-authored-by: Ntianshuo78520a <707759223@qq.com>