[chillee]

MXNet is actually pretty good. It got to the "mixing eager and graph mode" semantics before either PyTorch or TensorFlow did. On top of that, it's also blazing fast (usually the fastest of the frameworks).

Admittedly, I've never used MXNet so it might have more issues that I'm not aware of. Judging from the benchmarks I've seen, however, MXNet got a lot of things right.

Unluckily, I just don't think it added enough on top of PyTorch or TensorFlow for people to consider switching. People switched from TensorFlow to PyTorch because eager mode was just so much easier to use.