Contributing to This Book

English Version
1

https://d2l.ai/chapter_appendix-tools-for-deep-learning/contributing.html

2

We can get more information in CONTRIBUTING, STYLE_GUIDE.

mxnet.py, torch.py and tensorflow.py in /d2l are automatically generated by d2lbook build lib., please don’t edit directly.
#@save must need d2lbook build lib , if you are win10 users, then you can call others to help you, for example, https://github.com/d2l-ai/d2l-en/issues/1323

If you find some words that doesn’t fit for all frameworks, you can edit
begin with
:begin_tab:mxnet/ :begin_tab:pytorch/ :begin_tab:tensorflow
end with
:end_tab:

for example: in https://github.com/d2l-ai/d2l-en/edit/master/chapter_installation/index.md,

:begin_tab:mxnet

pip install mxnet==1.6.0

:end_tab:

:begin_tab:pytorch

pip install torch==1.5.1 torchvision -f https://download.pytorch.org/whl/torch_stable.html

:end_tab:

:begin_tab:tensorflow
You can install TensorFlow with both CPU and GPU support via the following:

pip install tensorflow==2.2.0 tensorflow-probability==0.10.0

:end_tab:

More examples: https://github.com/d2l-ai/d2l-en/edit/master/chapter_preface/index.md