* Polish Layer code

* Refine some api name

* Polish load program code

* Clean smoe include

* Process windows style path

* Move some funtions to utils

* record memory and op supplement info

* update

* update

* fix a bug

* fix memory recording

* fix a bug

* update

* update

* fix a bug

* update

* fix a bug

* fix a bug

* fix a bug

* update dygraph record

* add infer shape record

* fix

* fix

* fix

* add comments

* fix a bug

* fix

* fix

* inplace op without backward supports input of multiple inplace vars

* support inplace without backward in eager mode and fix python_c in eager_fluid

* fix output in yaml

* fix map to const&

* solve conflict v2

* enable Jacobian,Hessian supporting new autograd

* fix prim mode failed in PR-CI-Windows

* add forward_gradients api

* add forward_gradients api

* skip test_autograd_functional_prim in windows ci

* fix test_autograd_funciton_prim timeouot

* remove the block parameter in prim2orig method

* remove duplicate to_tensors code snippet # test=allcases

The paddle-cinn failed recently and block all PRs from merging. We found the key error reason from the log:

![b207bbfd3ebfabb2141a88b85241420b](https://user-images.githubusercontent.com/7913861/175882664-4dd14059-b716-44c4-a975-528de17ace46.png)

The CI environment didn't contain llvm.

We then debug and found https://github.com/PaddlePaddle/Paddle/pull/43534 deleted the llvm due to clang-format upgrade:
![f9d07b8e3c2b2cba7a790716961d98cf](https://user-images.githubusercontent.com/7913861/175883020-1a29c538-e511-4ada-a899-9b3ced3c0ae2.png)

So this PR added the llvm back. However, `clang-llvm-3.8.0` contains `clang-format-3.8`, so we modified the old command `cp -r` to `cp -rn`, which could ignore the installed `clang-format-13`

* make inference_api_test use import_lib + dll to smaller its size;test=document_fix;test=windows_ci_inference

* make place.h not export symbols; change the order of inference test dependencies

* cant delete analysis pass ..in inference_analysis_test or build test_analyzer.exe will failed; temporarily comment test need paddle_inference_c

* add onnx path; cp onnxruntime.dll to tests/api

* make c_ut depend on paddle_inference_c_shared rather than paddle_inference_c

* make c_ut depend .dll in windows and .lib in linux;path add capi_exp

* init context pool by analysis predictor

* make windows and linux both use shared; compile shared even on_infer off

* move case:profile after case:fuse_statis to avoid context pool null problem

* make c_ut depend .dll in windows and .lib in linux;path add capi_exp

* [Dy2Stat]Refactor convert_shape transformer logic

* clean usless unittest

* rename eagerpylayer

* move apis from legacy_api.yaml to api.yaml

* remove comment

* revert argsort

* fix merge conflict

* [CustomDevice]add custom place supports

* sync format

* update pateches

* test=document_fix; add patch file

* Update kaiming.py

* Update initializer.py

* fix doc bug;test=document_fix

* fix doc;test=document_fix

* Update initializer.py

* Update kaiming.py

* for ci;test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

use jinja 2.11.3 in python lower than 3.6.2

* add get_op_names api

* Update pybind.cc

* tmp fix

* init

* compile ok

* compile ok

* add vlogs

* add test

* fix termination error

* add testfile

* add

* fix window compile

* fix window compile

* fix windows compile

* fix windows compile

* fix windows compile

* fix windows compile

* fix windows compile

* fix windows compile

* fix kunlun compile

* fix compilation

* fix compilation

* fix compilation

* tmp fix

* add windows

* add windows

* add more logs

* change timeout to protected

* SB

* add

* add

* fix timeout

* add

* fix test

* fix test

* fix test

* fix ut

* fix ut

* fix ut

* perfect copy

* deal with conflict

* deal with conflict

* fix compile bugs

* fix unittest bugs

* change code format

* deal with conflict

* modify code by review

* fix ce bugs

* fix ce bugs

* add lo

* perfect code format

* deal with conflicts

* revert 40531

* update

* add closure analysis for control flow and add some unittest

* finetune the design of FunctionScopeVisitor

* fix

* fix python check

* fix code by code review

* add slice plugin int32 support

* modify xpu unittest to support fp64, *test=kunlun

* modify xpu unittest to support fp64 for KL2, *test=kunlun

* modify xpu unittest to support fp64, *test=kunlun

* modify xpu unittest to support fp64, *test=kunlun

* rewrite elementwise