* 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
* Create doc tree index for Nano How-to Guides
* Add How to guide for PyTorch Inference using ONNXRuntime
* Add How to guide for PyTorch Inference using OpenVINO
* Update How to guide for PyTorch Inference using OpenVINO/ONNXRuntime
* Change current notebook to md and revise contents to be more concentrated
* Add How-to Guide: Install BigDL-Nano in Google Colab (need further update)
* Revise words in How-to Guide for PyTorch Inference using OpenVINO/ONNXRuntime
* Add How-To Guide: Quantize PyTorch Model for Inference using Intel Neural Compressor
* Add How-To Guide: Quantize PyTorch Model for Inference using Post-training Quantization Tools
* Add API doc links and small revision
* Test: syncronization through marks in py files
* Test: syncronization through notebook with cells hidden from rendering in doc
* Remove test commits for runnable example <-> guides synchronization
* Enable rendering notebook from location out of sphinx source root
* Update guide "How to accelerate a PyTorch inference pipeline through OpenVINO" to notebook under python folder
* Update guide "How to quantize your PyTorch model for inference using Intel Neural Compressor" to notebook under python folder
* Fix bug that markdown will be ignored inside html tags for nbconvert, and notebook revise
* Update guide 'How to quantize your PyTorch model for inference using Post-training Optimization Tools' to notebook under python folder
* Small updates to index and current guides
* Revision based on Junwei's comments
* Update how-to guides: How to install BigDL-Nano in Google Colab, and update index page
* Small typo fix
* Update:installation panel enhancement
Left a bug to fix and install CMD to revise.
* Bugfix: Fixed a bug when using Firefox browser to use the install guide form.
Fixed the bug that the table's background color may be changed by mistake on Firefox browser.
* Update: update panel as comment required.
* Bugfix: fixed a bug in js file that will show wrong cmd when clicking 'windows' or 'docker'.
* Bugfix: fixed the bug that 'cmd' shows incorrectly when clicking 'prophet' and 'ARIMA'.
* Add extension nbsphinx-link: link notebook out of the sphinx root folder to the sphinx project
* Link Notebook custom.ipynb directly from python folder to the sphinx project
* Link Notebook seq_and_func.ipynb directly from python folder to the sphinx project
* Small title fix
* Make interactive graphs visible in readthedocs webpage for seq_and_func.ipynb
* Regenerate outputs for custom.ipynb and remove parts of them
* add how_to_tune_a_forecaster_model notebook
* modify step1: data preparation
* update based how to train
* modify a bug of summary
* update based on comment
* move to howto
* fix typo
* add file
* update based on comments
* rename the tile
* Update open in colab button from HTML-style hyperlinks to markdown image with link for notebooks in readthedocs folder
* Update "Open in Colab" button for notebooks under python folder with markdown image with link
* how to train forecaster
* add a notebook
* add new notebook
* add index
* fix colab link
* change content
Co-authored-by: Xinyi Zhang <xinyi1.zhang@intel.com>
Co-authored-by: theaperdeng <theaperdeng@outlook.com>
* docs: add save and load model docs.
* fix: update code style.
* fix: update code style.
* fix: fix typo and modify wording.
* docs: add save model example to notebook.
* fix: fix typo.
* Update chronos_installation_guide.css
* Update chronos_installation_guide.js
* Update chronos.md
* Change border color
* Deleted test text in '2. Install' title
I changed the title in last commit to check if my build in readthedoc web works fine. Now I delete it.
* Update button css selector
Revised the button selector to avoid influencing other buttons' style on the web.
* Update #cmd height
* Update as pull-request comment required.
1, disable other options when users choose windows, and guide users to https://bigdl.readthedocs.io/en/latest/doc/Chronos/Overview/windows_guide.html in "Install CMD"
2, guide users to https://bigdl.readthedocs.io/en/latest/doc/Chronos/Overview/chronos.html#tensorflow-backend in "Install CMD" when tensorflow is chosen.
3, guide users to https://github.com/intel-analytics/BigDL/tree/main/docker/chronos-nightly in "install CMD" when docker is chosen.
* Update css file to meet the comment requirements
Make the disabled items' background darker to have a better vis experience.
Have a larger fontsize.
* Update js file to meet the comment requirement.
Make the disabled items' background darker to have a better vis experience.
* Update border css settings.
Changed table border settings since last version looks not good.
* Change pmdarima to ARIMA
* Update visuals.
The button now has a hovering style, indicating the user that it can be clicked.
* Add tutorial notebook
* Add md
* Test on readthedocs
* Fix markdown
* fix md
* update notebooks
* update requirements version in doc
* update
* add and update tutorial
* add unit test for tensorflow tutorial
* reduce test time
* reduce test time
* update shell
* update action
* Update tutorial
* reduce ut time
* reduce ut time
* reduce ut time
* reduce ut time
* reduce ut time
* Update
* Fix shell
* update
* update
* rollback requirements
* Update
* Update
Co-authored-by: pinggao187 <ping.gao3@pactera.com>
* Correct typos for Nano User Guide page
* Correct typos for BigDL-Nano PyTorch Training Overview page
* Correct typos for BigDL-Nano PyTorch Inference Overview page
* Correct typos for BigDL-Nano PyTorch ONNXRuntime Acceleration Quickstart page
* Correct typos for Windows User Guide page
* Correct typos for BigDL-Nano TensorFlow Training Overview page
* Correct typos for BigDL-Nano TensorFlow Inference Overview page
* Small fix based on Shengsheng's comments
* Fix based on Wang, Yang's comments
* Add nbsphinx extension for docs
* Add specific ipynb files to readthedocs folder and add links to Nano Tutorials index page
* Disable execution of ipynb notebook
* Remove outputs of two ipynb files
* Rename titles and add navigation texts to seq_and_func.ipynb under readthedocs folder
* Rename titles and add navigation texts to custom.ipynb file under readthedocs folder
* avoid installation of python 3.7.0 and typo
python 3.7.0 and 3.7.1 is problematic with Ray (happens while orca context being init.)
* go back to py 3.7
if base conda env is not py 3.7.0 or 3.7.1, then no pb.
* add bigdl-ppml-submit.sh into ppml graphene image
* remove ppml-spark-submit.sh since it was replaced by bigdl-ppml-submit.sh
* update ppml-spark-submit.sh to bigdl-ppml-submit.sh
* rename backend name from tf2 to ray
* rename in doc
* rename in docstring
* manually
* rename test_tf2estimator_tf2_backend.py -> test_tf2estimator_ray_backend.py
* change tf2 in multi_agent_two_trainers.py back
* Add nano documentation for pytorch training quickstart
* fix some typo
* break pytorch training and inference to two files
* simplify trainer import
* fix train doc
* add updated information about models and Nano
* fix false formate
* add quantization related information
* fix missing quantization api doc
* fix typos
