* fix doc example, test=develop, test=document_fix

* fix interpolate example, test=develop;test=document_fix

* fix format, test=develop, test=document_fix

* update upsample doc, test=develop, test=document_fix

* 1. grid_sample
1.1 fix has_print
2. conv1d_transpose
2.1 fix code_example error
3. conv1d
4. affine_grid
4.1 has_print
4.2 has_disable_static
5. Conv1DTranspose
5.1 fix code_example error
5.2 has_disable_static
6. Conv1d
6.1 code_example
6.2 has_disable_static

Fix ops doc for some ops 

* fix examples, test=document_fix

* fix, test=document_fix

* fix syncbn

* add unittest

* rewrite the sigmoid_focal_loss code example. test=develop

* fix spelling mistake in comments of code example.test=develop

* change print([.*].numpy()) to print([.*]) in example codes of sigmoid_focal_loss. test=document_fix

* save one name in cross_entropy and softmax_cross_entropy, test=develop

* change used function in CrossEntropy from softmax_cross_entropy to cross_entropy, test=develop

As the title

* add soft_label and axis for CrossEntropyLoss and improve performance,test=develop

* fix conflict in nn/functional/loss.py, test=develop

* upgrade comment string to raw string

* fix string in

* fix string with ' '

* revert update on comments

* upgrade only necessary

* fix sample code checker

* fix comments with '''

* fix eng doc, test=develop

* add import deprecated for layers, test=develop

* add block line for doc generate, test=develop

* remove todo for create_variable, test=develop

* add blank line for doc generate, test=develop

* add blank line for doc generate, test=develop

* refine doc of bernoulli

* fix some problems

* fix unsqueeze

* fix squeeze

* fix doc

* fix English doc for dice_loss, log_loss, unfold and NLLLoss API test=document_fix

* optimize conv performance

* test=develop, bug fix for embeddings padding

* fix raise Value for Embedding

Change-Id: I6d343fceee369a5796ad59cca5c91fdd15429125
Co-authored-by: NseiriosPlus <tangwei12@baidu.com>

* fix code example, test=document_fix

* Fix wrong out dtype from helper.input_dtype

* add unittest

* remove disable_static in op_test

* fix param name typo

* add lstm, simple rnn op kernel

* fix the test_lstm for the rnn op

* change func name

* fix forward postprocess bug

* add gru forward, backward code

* remove unittest.skipIf; use a big rnn op instead of combination op

* fix input doesn't have gradient bug

* add eigen lstm forward, backward
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>

* fix pool exclusive and delete disable_static, test=develop

* fix pool1d  exclusive, test=develop

* fix pool APIs en doc, test=document_fix

add alias for fluid.initializer.set_global_initializer, alias is nn.initializer.set_global_initializer (#28690)

* update interpolate, test=develop

* fix coverage, test=develop

* adapt pad const

* fix comment and rm fluid import

* rm stdout

* fix note

* fix pool exclusive and delete disable_static, test=develop

* fix pool1d  exclusive, test=develop

also fix `no_grad` alias

modified sample code of CTCLoss & ctc_loss by remove disable_static() & print([.*].numpy()) & alias, test=document_fix (#28403)

* Add rnn_op.
test=develop

* Fix rnn_op grad maker's drop_empty_grad.
test=develop