* Add usage for distribute Light-NAS searching.

* Refine usage doc of PaddleSlim.

* Add doc for Light-NAS and auto filter pruning

* Add demo doc for Light-NAS and auto filter pruning.

* Fix usage.

* Add tutorial

* Refine the doc.

* Fix reader of slim.

* Remove unused comments.

* Add Light-NAS demo.

* Update arguments.

* Change number of epochs to 240.

* Add Light-NAS demo.

* Update arguments.

* Add auto pruning demo.

* Fix config file of auto pruning.

* Add PaddleSlim CE

* Add log and remove counting

* Remove environment variable LD_LIBRARY_PATH

* Reduce epoch count to save time

2. Fix loading checkpoint in filter pruning strategy by adding init_model option into config file.

* Add README.md

* Update url of images.

* Add images.

* Add usage.md

* Add demo.md

* Fix demo.md

* Add model_zoo.md

* Fix pretrain models download in model zoo.

* Refine documents.
1. Rename python to Python
2. Fix README.md: vgg->VGG, resnet->ResNet, mobilenet->MobileNet
3. Rename flops to FLOPS

* Move docs of PaddleSlim from models.fluid.PaddleSlim to models.PaddleSlim

* 1. Introduce model format in README.md
2. Merge results of combined strategies into one table.

* Refine README.md

* Refine README
1. Fix some terms in README.md
2. Fix description of model format in README.md
3. Add Channel-Wise into feature list
4. Rename 'paddle mobile' to 'Paddle Mobile'
5. Add comments for dynamic quantization and static quantization
6. Add entry url for Model Zoo in README.md

* Refine README.

* Fix name conficts in distillation.

* Download pretrain model in run_quant.sh

* Add demo for combined strategies.

* Fix quan.

* Restore args in run.sh

* Shift up fluid models

* Update nlp submodules

* Add redirect guide in org readme

* Move HiNAS_models to AutoDL