* Shift up fluid models

* Update nlp submodules

* Add redirect guide in org readme

* Move HiNAS_models to AutoDL

refine attention cluster readerme

fix doc and compatible python3.

* update acc curve
* fix test acc

* Move models to legacy, rename models_name to models, refine README
* Refine eval/infer/train code
* Release ResNet 18/34, GoogleNet and ShuffleNet v2.
* Add RMSProp optimizer.

fix Readme

Add checkpoint function for pass.

1. Remove pretrain directory in data
2. Add download scripts into run.sh

Fix doc for human pose estimation and DeepLab v3+.

* remove KMP_BLOCKTIME setting

* remove duplicate

* update instruction

fix print python3 bug

fix net bug

* fix bugs and remove redundant code
* minor changes and add README in Chinese

* add quant pass example.

* modify the step size for changing learning rate. test=develop

* use compiled binary to evaluate.

* mv quan pass example to the quant_low_level_api dir.

* Add some comments.

add reduce master grad for fp16

gnn update README and try in infer

update README and fix print_function

* fix some hyper parameters
* Update README

* Add demos for PaddleSlim on classification task.

* Refine structure of directory.

* add npairs loss
* fix metric learning readme

* deep interest network

Update README.md

add ssr distribute_train

gnn network train infer