* add how to guide:
* acclerate with jit_ipex
* save and load jit, ipex, onnx, openvino
* add these five above .nblink files
;
* add index of sl files
* clear all the output & fix the bug of title
* remove extra blank indent
* format the jupter with prettier
* fix the bug of error words
* add blank line before unorder list
* * remove the normal inference in accelerate using jit/ipex;
* add note to example why we should pass in the orginal model to get the optimized one in sl ipex
* fix:new pip install shell cmd & indent improve
* Rearrange file structure for PyTorch Inference for docs and add titles for PyTorch-Lightning Training
* Add How-to guide: How to accelerate a PyTorch-Lightning application on training workloads through Intel® Extension for PyTorch*
* Add how-to guide: How to accelerate a PyTorch-Lightning application on training workloads through multiple instances
* Revise: remove '-' in 'PyTorch-Lightning' and some other changes
* Add How-to guides: How to use the channels last memory format in your PyTorch Lightning application for training
* Add how-to guide: Use BFloat16 Mixed Precision for PyTorch Lightning Training
* Add How-to guide: How to accelerate a computer vision data processing pipeline
* Small Revision: change comments in several code cells
* Disable other nano tests temporarily
* Add github action tests for Nano Training PyTorch Lightning tests
* Enable other nano tests again
* Small revisions: typos and explanation texts changes
* Revise: update based on comments
