* RNN no attention model

* Attention model added

* Change as review comments

* caffe2fluid: fix bug in leaky-relu and add interface for prelu convertion
* caffe2fluid:fix code style problem in graph.py

fix image_classification error

* Add MKL-DNN Benchmarking to CRNN-CTC

* Make crnn-ctc scripts more portable

* Add documentation for cycle to crnn-ctc-reader

* Update crnn-ctc readme for CPU execution

* Merge CRNN-CTC train & inference scripts

* Fix mnist model & ce, kaffe graph yapf issues

* Remove LD_LIBRARY_PATH from crnn-ctc scripts

* CRNN-CTC scripts: set parallel to true

Abort script if batch_size is lower than num of cores

* CRNN-CTC scripts: limit mode options in infer

* CRNN-CTC scripts: set mkldnn parallel to False

Add wmt enfr

clean-way-to-support-ce

Update .run.sh

* add ce run.sh

add smoke model for superiving under CE

Fix the learning rate error caused by args.local in Transformer

Add profiling for transformer

* close mem_opt in pyramidbox