Question about the Used Hardware

[CCMaure]

Thanks for the great work. Knn-VC produces great results without even the need of training. One thing I noticed is, I canned use more than 3 minutes of refernce audio. If I use like 5 minutes of audio, pytorch tries to allocate 15 GB of GPU memory. I tried it once with 11 minutes of refernce audio, but than over 70 GB of memory space is needed. What kind of GPU did you use for interfernce? Is it normal that so much memory is requested, or is there an error in how I use the toolbox? Do you have any usefull tips on how the audio should be provided for the framework? E.g. file format, frequency, one long file or sevreral tiny snippets ...

Would be great to hear from you.

Kind regards Mr Maure