* add maxout layer, including interface and unittest

* follow maxout comments

* auto setting channels

* fix unittest bug in test_RecurrentGradientMachine

* fix error in doc of quick_start
* There are some warning when execute preprocess.sh 

* Follow #223
* Fix #222

* hierarchical rnn document, add new config example

* update inputs_type of label

* add check for unsupported config

* refine hierarchical document

* refine doc title

* update docs, fix paddle to PaddlePaddle

* follow comments

* add interface and unittest for nce layer

* follow comments

* Rerange Build docs & emphasize them in README.md

* Rerange Build docs & emphasize them in README.md

* Add automatic check AVX in CMake

* Add indent in FindAVX.cmake

* Revise table format and some words in build docs

* Update build docs

* Update build docs

* Add automatic check AVX in CMake

* Add indent in FindAVX.cmake

* Revise table format and some words in build docs

* Update build docs

* Add automatic check AVX in CMake
* Revise table format and some words in build docs

* follow comments to fix bugs

* refine sparse momentum api and unittest
* fix unittests bug

* fix bug in dotmul_operator's api and anotation
* update rnn document
* remove redundant info of projection and operator in layers.py

* min_pool_size would be infinite by default.
  * add unittest for min_pool_size
* Fix bug in can_over_batch_size
  * add unittest for can_over_batch_size
* Add DEFINE_PROVIDER_EX
* Add default value of should_shuffle
  * When training, the default value of should_shuffle is True.
  * When testing, the default value of should_shuffle is False.
  * User a set a provider should_shuffle or not by pass it to `@provider`
  * should_shuffle can handle a list of value, not just boolean
* Add input order mapping by using name
  * Add unittest
* Add check to check input format.
  * Default is close for speed reason.
  * User could stop train when check error, or continue train without
    this train sample.
* use deque instead of vector in generators pool, make erase
  generator faster.
* Add chinese/english documentation
* Make should shuffle = false in unittest
* Add python files to depends.

* Add some comments for CTC layer and fix CTC evalutors, also add interface test

Change cos_sim to use CosSimLayer layer when size=1 and rename convex_comb_layer to linear_comb_layer

Also add an unittest for layers.py, currently for a few things. More need to be added later.

Change-Id: I028e402c964ca4f4431cbf8153bea4379dd4df70

Change-Id: Ia84860cdc25945ececba84fc9807495c9e5f047b

DataProviderWrapperConverter with DataProviderConverter.

* Add wheel into installation package.
* Improve quick start doc.

Change-Id: I0254e48fd90b874ed3163654b0fab607c0a4195d

* Add wheel into installation package.
* Improve quick start doc.

Change-Id: I6151f0569fef8b73248ad9aa3452ef5f0c1bb900

Change-Id: I6ba3ec1daeb3d4aee2556959e87bae7c4c1ad668

Change-Id: Id0804d03fc15529a8cf0b13c9e97d628103f5cec

Change-Id: Ib7f7d3c65c9850b8420f9a4799835a7ea03572bd

ISSUE=4619881 

git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1502 1ad973e4-5ce8-4261-8a94-b56d1f490c56

ISSUE=4612671

git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1501 1ad973e4-5ce8-4261-8a94-b56d1f490c56

ISSUE=4612433 

git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1476 1ad973e4-5ce8-4261-8a94-b56d1f490c56

ISSUE=4611579

git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1473 1ad973e4-5ce8-4261-8a94-b56d1f490c56

ISSUE=

git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1471 1ad973e4-5ce8-4261-8a94-b56d1f490c56

ISSUE=4611125


git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1468 1ad973e4-5ce8-4261-8a94-b56d1f490c56