* Change order of PyTorch Inference how-to guides order
* Revise accelerate_pytorch_inference_jit_ipex.ipynb
* Revise accelerat_pytorch_inference_onnx.ipynb
* Revise accelerate_pytorch_inference_openvino.ipynb
* Revise inference_optimizer_optimize.ipynb
* Revise multi_instance_pytorch_inference.ipynb
* Revise pytorch_context_manager.ipynb
* Revise pytorch_save_and_load_ipex.ipynb and other small fixes
* Revise pytorch_save_and_load_jit.ipynb and other small fixes
* Revise pytorch_save_and_load_onnx.ipynb and other small fixese
* Revise pytorch_save_and_load_openvino.ipynb
* Revise quantize_pytorch_inference_inc.ipynb and other small fixes
* Revise quantize_pytorch_inference_pot.ipynb and other small fixes
* Fix failed links in the index page
* Small fixes
* Update based on comments
* Remove deprecated option enable_auto_doc_ref for recommonmark
* Add first level navigation structure for Nano how-to guides
* Update navigation for How-to Training part
* Update navigation for How-to Inference part
* Update navigation for How-to Preprocessing/Install part and other small fixes
* Fix wrong link path caused by position changes of how-to install related guides
* Small fix
* add key feature and how to guide for context manager
* update key feature for multi models
* update based on comment
* update
* update based on comments
* update
* update
* 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
