* for supporting paddle rc1

* add resnet_amp.py file for resent50 amp training.

* change yaml file name

* Fix serial number error

* Fix the environment description of running PaddleClas

* Add the overview of other models

* Modify the pretrained models to dygraph

* support fp16 training

* Use compiled training program

* Change timing ips.

* Use dali

* add pure fp16 training

* fix a bug, which will not use fuse pass using pure fp16 training.

* modify code as review

* modify loss, so that it will use different loss when using pure fp16 training.

* remove some fluid API

* add static optimizer.

fix resnest, ghostnet typo

add resnest101

* unify model and model_name

* rm unsed archs fix bug of se_resnext

* fix distillation model for distributed.launch

* fix export model for googlenet

* Add InceptionV3

polish codes and docs to adapt Paddle2.0-rc