should fid.py mention np.float64 ?

[AmurG]

I was trying to run fid scores for some CelebA images and kept bugging out at 20K-30K samples. After some examination, I found that the error lay in fid.py typecasting to np.float32, and this was resulting in NaN and inf values etc.

Should this be mentioned in fid.py or simply typecast to float64 ? I am not aware of any downside to float64.