* [Dy2Stat]Polish break/continue statement transformer logic

* re-write the unit tests for compare xpu op

*test=kunlun

* re-write the unit tests for compare xpu op

*test=kunlun
Co-authored-by: Nrunzhech <runzh_chen@sjtu.edu.cn>

* [Dy2Stat]Enhance nonlocal machanism while returning single var

* [Dy2Stat]Enhance nonlocal machanism while returning single var

* move standard apis to api.yaml

* revert erfinv

* delete dot_op.h

* fix dot

* rerun ci

* save multi program into one param and seperate model

* export class property

* add code

* add unit test

* support scope_guard

* fix test

* merge and add base support for non-local for

* for and while non-local support

* fix ci errors: v1

* fix bug

* fix

* fix code

* fix

* fix

* fix

* add relu6 kernel and yaml

* format files

* format code and fix bug

* fix build failed

* add comparisons trt converter

* skip xpu conv2d fp16 unitest
*test=kunlun

* minor
*test=kunlun

* [Dy2Stat]Polish all API name of _jst

* add unittest for PR43688

1. test_parallel_executor_seresnext_base_gpu failed on 2 P100 GPUs with `470.82` driver.
```
======================================================================
FAIL: test_seresnext_with_learning_rate_decay (test_parallel_executor_seresnext_base_gpu.TestResnetGPU)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/opt/paddle/paddle/build/python/paddle/fluid/tests/unittests/test_parallel_executor_seresnext_base_gpu.py", line 32, in test_seresnext_with_learning_rate_decay
    self._compare_result_with_origin_model(
  File "/opt/paddle/paddle/build/python/paddle/fluid/tests/unittests/seresnext_test_base.py", line 56, in _compare_result_with_origin_model
    self.assertAlmostEquals(
AssertionError: 6.8825445 != 6.882531 within 1e-05 delta (1.335144e-05 difference)
----------------------------------------------------------------------
```
2. To be more accuracte on evaluating loss convergence, we proposed to apply IOU as metric, instead of comparing first and last loss values.
3. As offline discussion, we also evaluated convergence on P100 and A100 in 1000 interations to make sure this UT have the same convergence property on both devices. The curves are showed below.
![A100-Single, P100-Single and Diff (1)](https://user-images.githubusercontent.com/13541238/175461920-25df6101-6dd8-4387-862c-d1c8e9299c57.png)

* [Sparse]add SparseTensor mv kernel(csr*dense_vec->dence_vec, coo*dense_vec->dense_vec)

* fix CI

* 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

* [Dy2Stat]Refactor convert_shape transformer logic

* clean usless unittest

* rename eagerpylayer

* [CustomDevice]add custom place supports

* sync format

* 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

* 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