Gökçen Eraslan

It worked with `pip install pytorch-lightning==1.1.8 pytorch-lightning-bolts==0.3.2.post1` but then requirements.txt is wrong I think.

I had similar experiences. I'm in the process of reimplementing it in keras, then I'll look into performance issues.

I think you can play around with batchnorming the weights generated by auxnets with a small sigma and the initialization of auxnet parameters.

I have a password timeout related issue that might be related. Although I can nicely ssh Sherlock login node without a password, jupyter-gpu script asks for a password during port...

OK, now it doesn't ask for a password any more \o/ No idea what happened. Maybe passwordless login thing takes some time to take full action.

Thanks for super fast response @akkornel ! Yes, I read about Sherlock OnDemand, and it's awesome. But I need jupyterlab, not jupyter/jupyterhub. That's the only reason of my suffering, otherwise...

Thanks so much @akkornel ! I emailed to the Sherlock team and added the link to OSC too (SRCC #58605). Let's see, I hope they give it a try. PS:...

How about the [future](http://python-future.org/overview.html) package?

Sent a new PR (https://github.com/Yelp/MOE/pull/466) which adds Python 3 support without breaking Python 2 support.

Compiles and works fine with cmake 3.3.2.