support stride

* bind ir core

* perfect code

* deal with conflict

* Implement replicated to split reshard function

* fix link error in clang

* refine split functor

* simplify reshard code

* [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

* 解决 grad_fn next_functions api 接口导致内存异常的问题

* 修改单测内容

* 解决 code-style 问题

* simplify dist tensor namespace path

* fix tensor dist attr decl error

* polish dist_tensor details

* add unittest for coverage

* revert uselesss change

* skip test without dist

* [CustomDevice] fix release error for process_group_custom

* update

* [clang-tidy] enable readability-container-size-empty check

* fix test_custom_kernel Failed

* add clang-tid-10 in dockerfile

* add clang-tidy in dockerfile

* fix bug

* [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

* [NewIR]Refine IrPrinter and basic Concept Interface for const Object

* add program pybind

* rename file

* fix compile bugs

* [CustomDevice] release device manager in py::atexit

* fix hip_version macro

* update

* update

* update dygraph collective

fix ut

* remove debug log

* add gc for multi jobs

* fix job.h

* update OpInfo to OpInOutInfo

* update get_skip_gc_vars algo order

* 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

* define unified data class for inferencing dist_attr

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

* [XPU] support xpu runtime profiler: follow up

* fix compile issue

* new_ir to shared

* refine code

* add ir lib path to env

* refine type

* refine code

* fix bug

* fix bug

* refine code

* refine code

* close win

* refine code

* refine code

* refine code

* add win share

* refine code

* refie code

* refine code

* refine code

* refien code

* fix bug

* fix bug

* fix bug

* solve conflict

* solve conflict

* fix bug

* refine code

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* refine code

* fix interpretercore program bug

* delete unuse code

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix cinn bug

* fix cinn bug

* debug

* fix cinn bug

* delete unused code

* fix cinn bug

* fix cinn bug

* fix  ug

* test win openblas

* test win openblas

* fix win openblas bug

* polish code

* fix win open blas bug

* close win dll

* fix flag bug

* test for windows

* fix compile bug

* Run plan in standalone executor

* Update codes

* Update atol and rtol for py3-CI

* Add scope to cache key

* Fix CI errors

* Fix code style

* Update codes

* Remove fetch_name in standalone executor

* Fix UT

* Update codes

* Fix new IR bug

* add kernel dialect

* change DenseTensorTypeStorage to DenseTensorType

* add test case`

* add first pd_op to kernel dialect

* lower pd op to kernel dialect

* update

* update

* remove useless code

* add attrite print test

* fix bug

* update

* update

* update

* update

* polish code

* fix bug

* polish  code  and add python test

* add test

* fix test error

* add env flag

* fix bug

* revert test env

* change cc_test_old to cc_test

* fix build_static bug

* fix type test error

* udpate cmake

* disable test in windows

* fix inference compile

* construct dist tensor

* move constructor to header

* add phi option in cmake

* modify default option

* fix windows bugs

* perfect log

* change default mode

* change phi so on for py3

* [CINN] add paddle.device.is_run_with_cinn() api for running check

* for pass ci converge

* add check whl should compiled with cinn

* fix ci coverage bug

* remove exposed API

* import is_run_with_cinn explicitly

* Add outputs to check_numerics_kernel.

* Add check_numerics to yaml.

* Add API and unittest.

* Add check_nan_inf_level as argument of check_numerics_kernel.

* Add more unittests.

* Fix static API implementation and unittest.

* Move the implementation of check_numerics to paddle.amp.

* Fix import error.