* 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

support multiple data layer;
fix bug about caffe_pb2;

caffe2fluid: support Reshape and Scale convertion; fix bug in dropout; add more tools for comparing results (#880)

* fix code style problems

* fix bug when loading fluid model

* fix code style problem in brain.py

2, add examples for imagenet and mnist
3, support new operator: dropout, lrn, concat
4, compatible with old versions of caffe
5, fix bugs