* If cmake -DWITH_AVX=OFF during configuration, should not compile the file src/hl_math.cc and src/hl_avx_functions.cc.

* save the model file including git sha1

* Use C++ 11 atomic_flag in MacOS as spin lock
* Add unittest for it.

* support rectangle padding, stride, window and input for PoolProjection

* Follow comments.
1. Remove start
2. refine img_pool_a/b.conf for test_NetworkCompare
3. Split unit test

* Modify the test in img_layers.py

* add interface and unittest of RecurrentGradientMachine for the function of multiple Subsequence inlinks with unequal token length

* Update readme

* Apache 2.0

* Update Readme

* Update readme

* Update readme

* 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

* some bug fix for sparse matrix

* a minor bug fix

* also refine install docs, too

In some situation, for instance, in the virtual machine, it could happen.

* Add automatic check AVX in CMake

* Add indent in FindAVX.cmake

* Revise table format and some words in build docs

* Update build docs

Fix cmake/FindAVX.cmake

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

Add Mac OS X port

* follow comments to fix bugs

Remove main function in some unittest.

* refine sparse momentum api and unittest
* fix unittests bug

This bug occasionally causes dead lock in test_RecurrentGradientMachine
In general, conditional_variable::notify should be used together with mutex for changing condition.

* Add noavx to docker
* Not to use directory to split Docker image.

Add analystic scripts to documentation

* reduce trainer count for unit test on MAC OSX

* Fix lots of trainer_config_helpers bug, and complete unittest for `layers.py`