In addition:

It's better that the official can hold translation activities (just like TensorFlow), but we users can also hold one instead if there is no one (just like Keras).

We sincerely hope that our effort can be merged into the official, because it helps to improve this translation and reduce duplicated effort.

@jiangzhonglian @wizardforcel Thanks a lot for the proposal and it's also on our internal agenda to discuss the potential collaboration plan this week. We will provide an update on this very soon.

cc @soumith @jspisak

@jiangzhonglian @wizardforcel thanks so much for this!!! As Will mentioned, we are discussing internally to see if we can get some level of 'official' localization for a Chinese version of pytorch.org. We will definitely be in touch and love to see PyTorch alive and well in China!!

We are very happy to do this meaningful thing.
We have iterated three Chinese versions, and we are very grateful to the translation and participation of many Chinese contributors. Of course, the most should be the pytorch tutorial, which really helps us to learn more comprehensive and systematic learning of deep learning.
Everyone said that they really like your framework and your team. This is why we have been insisting on translation.