* Shift up fluid models

* Update nlp submodules

* Add redirect guide in org readme

* Move HiNAS_models to AutoDL

* Delete file
* Rever the raw file

* Adjust the structure of whole repo

* Correct the readme for speec

* Update submodules LAC, Senta and SimNet

* Add py-reader and parallel-executor support in Transformer inference

* Add statick k, v cache for encoder output in Transformer inference

* Replace the cache from compute_qkv with cahce from split_heads in Transformer inference

* Fuse k, q, v projection in Transformer

* Revert the fused k, q, v projection in Transformer to be compatible with saved models

* Use gather_op to replace sequence_expand_op in Transformer inference

* Add fluid_transformer.md

* Refine README for released models and data in Transformer

* Refine README for released models and data in Transformer

* Load Data --> 64 sec
* Shuffle/Batch --> 14 sec

Adapt to fill_batch_size_like and make outputs between fast_infer and the original python infer alignment in Transformer