* fix gpu memory allocation policy

* refine codes

* fix code style

* follow comments

add script to check the cpu env

add softsign into doc.

add graph in IntelOptimizedReadme

Install dmidecode in product docker image

* Add HasCUDNN to detect if CUDNN is installed or not

* Fix CI

add MKLDNN LRN

Compile cblas library as static

Make ConvTransProjection support for dilation

fix typo and path issue in build from source doc

Enhance AvgPooling to support both include_mode and exclude_mode

* write versino.py

* add version py

* clean init py

* add istaged, major and etc... fields

* update

* update

* update

Change the type of conv2d in Python API.

Add LRN efficient GPU implement

Add half precision float16 data type

* init nmt

* encoder ready

* only generation implementation

waiting for dynamic rnn ready to train

* init python

* remove decoder temporary

* clean

* clean

Fix nce op warning about comparison of integers of different signs

fix int overflow

Refine code（operator++）

* Add DataFeeder

A v2 API like data feeder for book demos.
We can feed data directly from reader.

* Fix CI

* Add an unittest for while/rnn op forward

* Add unittest for raw while op backward

* Fix CI

* Complete Dynamic RNN