[RFC] Support Keras API

[futurely]

🚀 Feature

Use the Keras API alongside with the PyTorch and MXNet API.

There are some examples of implementing graph neural networks with Keras.

https://github.com/search?o=desc&q=keras+graph+network&s=stars&type=Repositories

Motivation

Keras is very popular among deep learning researchers and practitioners.

TensorFlow 2.0 uses Keras as the high level API.

Pitch

More potential users who are familiar with Keras.

[Chillee]

However, Keras does not support PyTorch nor MxNet. Keras has also dropped support for its other backends (CNTK/Theano).

If the developers want to support other backends, they can. But supporting Keras out of some misplaced notion that you want to unify the API for different backends is a strange idea.

[futurely]

It is difficult to support tensorflow and therefore tf.keras due to dependency on dlpack.

[yzh119]

We are working on dlpack support for tensorflow, it would not be difficult to support tf once it is done.

[BarclayII]

I agree with @Chillee : supporting Tensorflow makes total sense, but the idea of "unifying PyTorch, MXNet and Tensorflow under Keras" is awkward.

EDIT: sorry that I didn't see the edited post. I would say that this is identical to supporting Tensorflow so I'll mark this as a duplicate of #422 .