* 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.

Change-Id: I2a72eb0a296a8cf297e2a53029d2602d85f40296

* Replace DataProviderWrapperConverter with DataProviderConverter in all
demo prediction scripts.

* Minor refinement of swig_py_paddle.rst to keep consistency with the
English version.

* 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: Ic42414e2e3a81bdce27f399e4944f6e9cb88da5c

Change-Id: Id0804d03fc15529a8cf0b13c9e97d628103f5cec

ISSUE=4612521


git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1477 1ad973e4-5ce8-4261-8a94-b56d1f490c56

Also fix link in quick_start

ISSUE=4611783



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ISSUE=4591775


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