* while support for python container.
It is convenient to convert more dynamic graph codes into static graphs.

* cond support python container

* add quant pass

* update the document for the api multiply

* update the document for the api multiply; test=document_fix

* update the document for the api multiply; test=document_fix

* update the document for the api multiply; test=document_fix

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

* [DOC] fix inferene doc link in readme, test=document_fix

* update link, test=document_fix

* rename the member function of SparseTensor

* use shorter function names

* update loss.py in nn.functional and nn.layer module

* update nn.Pad1D and 2D,3D class in common.py

* add code copy from function anchor for cn docs code alignemnt

* update pad class in common.py

* update common.py in functional and layer model

* fix format issue

* update format issue

* update pad;test=document_fix

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

* add kernel dtype check py

* add kernel dtype check py, test=document_fix

* 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