* update conv kl-loss doc

* fix AdamOptimizer, test=develop, test=document_fix

* fix AdamOptimizer, test=develop, test=document_fix

* fix AdamOptimizer, test=develop, test=document_fix

* fix AdamOptimizer, test=develop, test=document_fix

* fix python code

* fix batchnorm ,test=develop

* add the chinese doc of binary_cross_entropy_with_logits.

* fix AdamOptimizer, test=develop, test=document_fix

* fix AdamOptimizer, test=develop, test=document_fix

* fix AdamOptimizer, test=develop, test=document_fix

* fix AdamOptimizer, test=develop, test=document_fix

* fix python code

* fix norm bug cn doc, test=develop

* fix norm bug cn doc, test=develop

* add functional_one_hot doc

* fix some bug

* fix some bug

* fix some bug

* fix some asc bug

* fix code bug

* fix text

* add example code

* fix bug

* fix bug

* fix bug

* fix some bug

* fix AdamOptimizer, test=develop, test=document_fix

* fix AdamOptimizer, test=develop, test=document_fix

* fix AdamOptimizer, test=develop, test=document_fix

* fix AdamOptimizer, test=develop, test=document_fix

* fix python code

* fix norm api cn, test=develop

* fix norm api cn, test=develop

* fix norm api cn, test=develop

* fix norm api cn, test=develop

* fix norm api cn, test=develop

* fix norm api cn, test=develop

* add 1d pooling

* api2.0, Add Bilinear doc(eng,cn), test=develop

* fix some description, test=develop

* fix some description, test=develop

* fix some description, test=develop

* fix some describtion, test=develop
Co-authored-by: NChen Weihang <chenweihang@baidu.com>

* add docs

* Test SmoothL1Loss

* fix SmoothL1Loss doc

* fix some error

* fix to_tensor and add name=None,test=develop

* add cn doc of dropout series

* fix doc in quto and details

* fix doc of AlphaDropout

* fix cn doc details

* refine doc of functional dropout

* refine details in cn doc

* refine order

* fix sample code in Dropout2D/3D

* add cross_entropy_loss_cn doc to functional_cn and loss_cn

* fix bug in doc/fluid/api_cn/nn_cn/functional_cn/cross_entropy_loss_cn.rst

* fix format for functional_cn/cross_entropy_loss_cn.rst and loss_cn/CrossEntropyLoss_cn.rst

* add cn doc of trace API

* add cn doc of functional ctc_loss and CTCLoss class.

* modified the format of doc.

* add en doc of ctc_loss and CTCLoss

* modified paddle.to_variable to paddle.to_tensor

* refine sign tanh api, test=develop

* Add Tanh, test=develop

* fix en, test=develop

* test=develop, add addmm doc

* add addmm doc

* test=develop, add addmm doc

* test=develop, add pad doc

* restore addmm

* test=develop, add pad

* test=develop, fix pad interface

* test=develop, add pad eng doc link

* test=develop, add other pads

* test=develop, remove pad default

* test=develop, fix const pad1d code

* test=develop, fix var

* test=develop, fix pad typo

* test=develop, rename tovar to totensor

* test=develop, fix code

* test=develop, fix typo

* test=develop, fix cos_sim interface

* test=develop, fix typo

* refine bceloss doc

* fix doc

* fix name

* fix api 2.0 directory migration

* add dir file and change x to input

* add doc of loss function binary_cross_entropy.

* delete static demo code.

* add 2/3d adaptive_pooling

* fix format

* fix format

* add en doc rst

* fix format

* fix doc

* fix doc

* refine example code

* unify example code

* Udpate the doc format for the paddle, test=develop

* polish some docs

* polish some docs

* Update square_cn.rst

* polish some docs

* polish some docs

* polish round docs

* polish round docs

* Update square_cn.rst

* polish some docs

* polish functional_cn.rst

* polish some docs

* polish some docs

* Update square_cn.rst

* polish some docs

* polish some docs

* polish round docs

* polish round docs

* Update square_cn.rst

* add mse_loss_cn doc

* add index

* add index

update the margin rank loss api doc

update demo code in NLLLoss_cn.rst

* add pairwise distance cn docs

* fix link

* add alias

* refine format

* fix doc tree

* fix format

* add name

* change out -> output

* change eps -> epsilon

* fix name

Update the docs of nn.loss.L1Loss and nn.functional.l1_loss

* fix MSELoss ch doc

* support pact demo load checkpoints

* fix example code