Constantly getting arrays full of NaN when using NMF

[chadD123321]

I am attempting to utilize nmf on video data. it is 3 dimensional but I have also collapsed it to 2 dimensions in hopes that would work(with appropriate NMF3D and NMF2D utilization). regardless of input shape, I try to use the fit_transform function and my returned V matrix is comprised of only NaN's . I imagine I am incorrectly training or fitting the data but any insight would be appreciated.

[yoyololicon]

Have you tried adjusting the beta value? Which beta divergence are you using?
You can try beta=2 which is more numerically stable in my experience.

[yoyololicon]

@chadD123321
I have updated this package recently, could you help try again on the newest version?
Docs and installation:
https://pytorch-nmf.readthedocs.io/en/latest/
Please install directly from github (the pypi version has some bugs.)