* 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

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

* 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 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

* refine paddle.stack

* support TensorArray

* add test

* fix coverage problem

* fix coverage problem

* fix sample code

* fix dropout bug in backward when input is 1d tensor, test=develop

* add test case and refine error message, test=develop

* refine error message, test=develop

* set_default_type only take effect on python floats or complex

* fix doc

* fix norm bug, test=develop

* fix norm bug, test=develop

* fix norm bug, test=develop

* fix norm bug, test=develop

* fix norm bug, test=develop

* fix fluid.embedding

* add embedding 2.0

* add embedding support input int32

* remove backend argument of init_parallel_env

* remove keep name table in transformer

* add cpu version check

* add skip unittest for init_parallel_env

* polish doc: remove func use & update example

rename Dropout2D/3D to Dropout2d/3d

* refine cudnn softmax

* get use of global 'use_mkldnn' in layer_helper

* update for CI

* update for CI, relu test

* update for CI, relu test added, make FLAGS_use_mkldnn a public flag

* added more strict tests, fixes after review

* fixes after review

* fixes after review, CI stuff

* Fix Python Version compatibility

* add import six

* Move hapi form paddle/incubate to paddle

* Remove vision/datasets/utils.py and clean code

* Add sample code for conll05

* Print pull path when saving model

* Fix sample code after paramter_list of SGD is changed to parameters

* Fix bug in wmt16 datase

* set default dtype for distribution API

* Add unittest

* Add unittest

* fix import get_default_dtype problem

* delete change under fluid.layers.nn

* little change