* wip integrate benchmark scripts

* testing nlp models

* k8s script to start dist benchmark job

* update script

* done support all models

* add README.md

* update by comment

* clean up

* follow comments

expose random_data_generator

Add Inference doc for fluid

Add api docs for RMSProp and modelAverage

send use pinned memory

Add the demo of subgraph splitter

fix dist test

* Enhance reduce op for multi dims.

* Uncomment some unitest.

* Uncomment unitest.

* Remove unused code.

* Fix infershape and python wrapper.

* Add more examples.

* Fix l2_normalize.

* Fix normalization_wrapper.

* Polish code.
1. Rename unitest function.
2. Rename const variable.

Revert "update bcebos url so that it can also be downloaded in inner network"

* Add dice loss.

* Fix comments.

* Remove unused code.

Force some unittests serial

update bcebos url so that it can also be downloaded in inner network

change CMAKE_INSTALL_PREFIX in inference_lib_dist to FLUID_INSTALL_DIR

fix warpctc

enable MKLDNN inference test

Update activations for MKL-DNN

1. If all bboxes are not difficult ground truth, the users can not define the data layer for this flag and not the input can be None for detection_map API.
2. Set default value for aspect_ratios in prior_box API.
3. Add more check in prior_box API.

add cpp trainer lib and demo

Add pip install description