[dheera]

If they want to increase adoption, they really need to make this stuff easier to install. I mean zero friction. Either pip, or an Ubuntu PPA that "just works".

Caffe2 install page: "We only support Anaconda packages at the moment. If you do not wish to use Anaconda, then you must build Caffe2 from source." => We are a company with a 400B+ market cap but are too lazy to support more than one installation configuration. Good luck dealing with dependency hell, poor ML grad student researcher.

MXnet install page: "You can either upgrade your CUDA install or install the MXNet package that supports your CUDA version." => We welcome you with open arms regardless of your configuration! No matter your configuration we have an pre-built package for you!

[Digitalghost]

Hey! Have you tried our docker install? We tried to make it as simple as possible.

I agree that installing without docker is a pain, but you should follow our install guide. Particularly for Caffe2, it's included in PyTorch 1.0 so you don't have to install it separately :-).