* 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
* Restyle blockquote elements in web
* Add a generalized how-to section for preprocessing, including the data process accelerastion for PyTorch
* Small fix
* Update based on comments and small typo fixes
* Small fixes
* Add basic doc structure for bf16 tf training how-to guide, and change the incorrect order of tf inference guides in toc
* Add how-to guide for tf bf16 training
* Add warning box for tf bf16 hardware limitations
* Add a print message to show the default policy of model after unpatch
* Small fixes
* Small github action fixes for tf bf16 training how-to guide
* diable action test for tf bf16 train for now, due to the core dumped problem on platforms without AVX512
* Updated based on comments
* Add how to guide: How to convert your PyTorch code to use TorchNano for training acceleration
* Small nano how-to index format update for openvino inference
* Update based on comments
* Updated based on comments
* Add how-to guide: How to wrap a PyTorch training loop through @nano decorator
* Add reference to TorchNano guide in @nano guide
* Some small fixes and updates
* Small typo fix: bulit -> built
* Updates based on comments
* Remove validation dataloader based on comments
* Order change of two guides
* Update based on comments
* Add basic guides structure of Training - TensorFlow
* Add how-to guides: How to accelerate a TensorFlow Keras application on training workloads through multiple instances
* Change import order and add pip install for tensorflow-dataset
* Diable other nano tests for now
* Add github action tests for how-to guides Tensorflow training
* Use jupyter nbconvert to test notebooks for training tensorflow instead to avoid errors
* Add how-to guide: How to optimize your model with a sparse Embedding layer and SparseAdam optimizer
* Enable other nano tests again
* Small Revision: fix typos
* Small Revision: refactor some sentences
* Revision: refactor contents based on comments
* Add How-to guides: How to choose the number of processes for multi-instance training
* Small Revision: fix typos and refactor some sentences
* Make timeout time for github action longer for TensorFlow, 600s->700s
* 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
