Fix LaTeX equation for huber_loss_op.cc.

* Support int64 for sum op

* Refine code

remove vector::erase

* Adding the FTRL optimizer

* Fixed the python test case

* Updating the writeup of RNN doc

* Editing the documentation for seq_decoder, and fixing typos

* Fixing the captioning on 2 level RNN

* pushing after a pull

* Editing and re-writing parts of Data Reader design doc

update googlenet benchmark data

fix v2 init issue on Mac

Make epsilon in BatchNormLayer a configurable variable.

Bug fix in dense example of CAPI.

* init label_semantic_roles.py

* add linear_chain_crf and test

* complete test_linear_chain_crf

* correct last layer of db_lstm

* update optimizer and initializer

* update param_initializer of embedding_layer

* support load pre trained embedding

* rm unused parameter

* optimize code

* clean code

* fix test

* add todo

Fix calculations in gru_unit_op to consistent with gru_op 

remove the tmp buffer when merge grad

Implementing the MSRA initializer for rectifier units

* fix v2 init issue on Mac

* refine the v2 init

reorder parameters of layer

* fix

* Fix a bug

update resnet50 benchmark data

fix some warning with MKLDNN related codes and etc

Refine doc of pnpair evaluator

Fix prelu python api 

* Support many data types of several operators

* SeqConv only support float/double

* Revert adagrad

* Forward of raw if-else op

* add backward part of mnist if-else unittest

* refine fill_constant_batch_size_like layer

* add draft ifelse operator

* Complete IfElse Op

* add unittest of ifelse api

* merge baidu/develop

* Stash

* Merge develop branch

* Support int/int64 for fill_constant_batch_size_like