3f73231d5c | ||
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.. | ||
source-app | ||
source-fabric | ||
source-pytorch | ||
README.md | ||
generate_docs_for_tags.sh | ||
rtfd-build.sh |
README.md
PyTorch-Lightning Docs
We are using Sphinx with Napoleon extension. Moreover, we set Google style to follow with type convention.
See following short example of a sample function taking one position string and optional
from typing import Optional
def my_func(param_a: int, param_b: Optional[float] = None) -> str:
"""Sample function.
Args:
param_a: first parameter
param_b: second parameter
Return:
sum of both numbers
Example::
>>> my_func(1, 2)
3
Note:
If you want to add something.
"""
p = param_b if param_b else 0
return str(param_a + p)
Building Docs
When updating the docs, make sure to build them first locally and visually inspect the html files in your browser for formatting errors. In certain cases, a missing blank line or a wrong indent can lead to a broken layout. Run these commands
git submodule update --init --recursive
make docs
and open docs/build/html/index.html
in your browser.
When you send a PR the continuous integration will run tests and build the docs.
Notes:
- You need to have LaTeX installed for rendering math equations. You can for example install TeXLive with the necessary extras by doing one of the following:
- on Ubuntu (Linux) run
sudo apt-get update && sudo apt-get install -y texlive-latex-extra dvipng texlive-pictures
- use the RTD docker image
- on Ubuntu (Linux) run
- You need to have pandoc installed for rendering Jupyter Notebooks. On Ubuntu (Linux), you can run:
sudo apt-get install pandoc
Developing docs
When developing the docs, building docs can be VERY slow locally because of the notebook tutorials. To speed this up, enable this flag in before building docs:
# builds notebooks which is slow
export FAST_DOCS_DEV=0
# fast notebook build which is fast
export FAST_DOCS_DEV=1
docs CSS/theme
To change the CSS theme of the docs, go here. Apologies in advance... this is a bit complex to build and requires basic understanding of javascript/npm.