* Update set_dict method name & add aliases (#26700)

* update set_dict method name & add aliases

* fix var name error

* fix alias formats

* use set_state_dict in unittest

* add decorator solve compatible problem

* polish decorator

* replace layer set_state_dict by patched method

* remove import monkey path layer

* fix import function error

* add unittest for coverage

* Support load state dict form `inference model` format save result (#26718)

* support load infer model format state dict

* add unittests

* remove keep name table

* recolve circle inport

* fix compatible problem

* recover unittest

* polish doc and comment

* Change jit.save/load configs to config & update code examples (#27056)

* change configs to config & update examples

* fix deprecate decorator conflict

remove the bug for the checking the type of dtype

* fix dtype not matching bug in log_prob and probs method of Distribution class (#26767)

* fix _to_tensor method of Distribution class

* Add unittest

* let dtype be consistent with value in log_prob and probs

* fix format

* fix dtype problem and change unittest

* fix dtype of Numpy class in unittest

* add formula for entropy and kl

* change formula

* fix kl formula format

* fix kl formula format 2

* change gt to np in unittest

* optimize unittest format

* delete dumplicate

* delete dumplicate 2

* extract common function used to convert dtype value

* cherry pick 27046

fix cache judge more safe

change uniform_random to uniform and optimize function names in unittest for random ops (#26951) (#27111)

* fix unittest format and extract common function

* change function name

support heter-xpu-ps

* add descriptor cache

* fix self arugments

* deal case if instance is None

* clean code

* fix usage

[cherry-pick2.0beta][Api2.0] sum: bug fix - support attr(dtype) is float32 or int32 and add ValueError (#26946) (#27047)

update the check for the dtype check for the argmin, argmax

[cherry-pick 2.0-beta] Raise RuntimeError if run the callable object decorated by '@paddle.jit.to_static' not in dynamic mode.  (#26750) (#27053)

Change-Id: I21a07cc2bc39acb753ab8fc00c72e269ddef0df1

[cherry-pick 2.0 beta][Dy2Stat-debugging] Fix bug: Returns True if the verbosity level set by the user is greater than or equal to the log level (#26858) (#27052)

Change-Id: Iea4eb55f733e4751cb58c3caef35cb7664d2efa6

Change-Id: Ic5b211f1bab42067715297fe58a78646e13e048d

cherry-pick from the develop PR#26792, fix the argmin, argmax

test=develop

* Fix conv1d when data formate is NLC
test=develop

* Fix unitest of conv1d
test=develop

update doc of paddle.to_tensor

* fix heter-ps multi thread

* update optimizer (#26711)

* update doc

* update doc

* fix optimizer sample code

* add default value for adamw weight_decay

* fix adamw

* change LearningRateDecay to _LRScheduler

* fix adamw;notest

* fix load;notest

* remove file

* bug fix

* fix code style

* bug fix

* add ut

* adamw support weight_decay=0

* fix ut

* fix set_lr doc

* fix doc

* change parameters place

* fix sample code

* add summary api

* refine paddle.stack

* support TensorArray

* add test

* fix coverage problem

* fix coverage problem

* fix sample code

Fix some code samples in Tranoformer apis.
test=develop