* ce fix

* add crop and reduction layer
* caffe2fluid: support crop and reduction layer convertion

* Continuous Evaluation for image classification.

* add 4card kpis

* update batch_size

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

* 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 more model configure, such as AlexNet, VGG, GoogleNet, DPN, ResNet etc.
* Add download_imagenet2012.sh
* Update doc.
* Add Chinese doc.

* caffe2fluid: fix bug in transforming Scale layer without bias parameter

* caffe2fluid: fix bug about Scale layer transformation and model saving

support multiple data layer;
fix bug about caffe_pb2;