* 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 |
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| image | ||
| source | ||
| make.bat | ||
| Makefile | ||
| README.md | ||
| requirements-doc.txt | ||
| requirements-rtd.txt | ||
BigDL Documentation
To compile the documentation, run the following commands from this directory.
pip install -r requirements-doc.txt
pip install -U -r requirements-rtd.txt # important for reproducing the deployment environment
make html
open _build/html/index.html
To test if there are any build errors with the documentation, do the following.
sphinx-build -b html -d _build/doctrees source _build/html