* 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

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Thanks to caoying to check english gramma.

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