Alby M.

@nurettin True, but you didn't take the auto updating of packages into consideration. Getting things updated automatically is a huge boon that RubyGems doesn't offer.

Good focus. For native software, a package is critical, but for Maid, it's only slightly necessary. On Dec 31, 2012, at 8:13 AM, Ben Oakes wrote: > I agree with...

Hi @ThePauliPrinciple , Regarding "The calculator class does not expose the custom properties.", unless you are specifically running e.g. ASE MD, the easiest thing to do is just to skip...

Hi @acfisher , It's also been a long time since I looked at this, but I did implement PyTorch bindings at one point, which I think worked fine with regard...

> Better yet, why not 11.6 since that's what is included with system76-driver-nvidia by default anyway? @mraxilus is that true? Maybe that's just on the latest 22.04... definitely wasn't the...

Hi @wuziqi-cmu, There may be something of use to you in #8 or #10... but as I said there, we do not support macOS. Things may work, but I wouldn't...

Hm strange it would stop working... since it's in `libtorch`, you could always try building with the pre-built independent `libtorch` downloaded from PyTorch (see `README`). Re the error in #10,...

Hi @YuanbinLiu , I've never seen anything like this before, but it looks like a version issue / incompatibility between PyTorch and your system unrelated to `pair_nequip`. It is sometimes...

Hi @mhsiron , Is this definitely the full output? Or just stdout without stderr? Just wondering if there is any more information. > I trained a nequip model and have...

This is really strange, I've never seen anything like it. If you ``` import torch m = torch.jit.load("model.pth") print(m) ``` does it error when trying to load the model in...