* bugfix

* remove scaling

* support rescale_grad opt

* add unitest

* erfinv

* fix some tiny issues

* new executor support program._graph

* fix program._program if program is Program()

* Update scope.h

* typo

* Update dense_tensor.inl

* move distribute_fpn_proposals

* fix some code

* fix yaml bugs

* add set dtype

* move proposal_impl to funcs

* fix compile bugs

* [CustomDevice] add profiler apis

* migrate CalculateEstOccupancy into cuda_tracer

* update

* add ut

* Add int8 support for matmul+elementwiae_add fuse

* Corrections after review and ernie test fix

* merge conv_concat_relu to conv_act

* fix typo

* extend unit test

* reuse existing gpd

* codestyle

* enforce mkldnn conv

some python c api use final state

* optimize python api to speed up eager exec

* optimize python api to speed up eager exec

* optimize python api to speed up eager exec

* fix jit layer function

* fix comment

* fix comment

* pylayer detach output tensor if it is equal with input

* pylayer detach output tensor if it is equal with input

* add max_p without test

* add test of max_p

* make max_p consistent with paddle.maximum

* add forward inplace final state api

* fix bug

* fix reshape

* fix coverage

* add inplace info for erfinv, lerp, put_along_axis

* fix put_along_axis infer_meta

* fix format

* update yaml

* fix

* fix layernormTrt meanVar alloc bug

* Fix random op depenency and lr_shedule bugs for standalone executor

* Fix CI errors

* Fix CI errors

* Fix CI errors

* rewrite get free port strategy

* hide the old one

* add views in summary api

* add args in the last position

* add group_norm dyanmic plugin

* polish default param of XXX_interp_test, the same default value with XXX_interp_np

* set default value data_layout=NCHW, cause C++ end treat NCDHW the same way as NCHW

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* make up beam_search_decode operator test cases on xpu and cpu environment. test=kunlun

* add merged_momentum *test=kunlun

* add merged_momentum *test=kunlun

* add fp16 to merged_momentum,*test=kunlun

* change dist_model.cc

* add merged_momentum unittest and  change momentum,test=kunlun

* add merged_momentum unittest and  change momentum,test=kunlun

* add merged_momentum unittest and  change momentum,test=kunlun

* add merged_momentum unittest and  change momentum,test=kunlun

[CodeStyle] use np.testing.assert_allclose instead of self.assertTrue(np.allclose(...)) (part 3) (#45251)

* Make sure that the output of whilep must exist in the input

* insert assign in block(0)

* add unittest.