Comments (1)
It does not contain any trainable variable, so identical to frozen. So it is identical results even if train()
or eval()
.
I added it for clarity.
from phaseaug.
Related Issues (12)
- Will it add new inference cost to the vocoder? HOT 2
- Missing variable in forward_sync HOT 2
- Pytorch 2 cannot compile forward_sync HOT 2
- where to put this code in VITS? HOT 1
- training error HOT 1
- phaseaug on bigvgan HOT 1
- Audio samples inaccessible
- metallic sound when applying phaseaug on avocodo HOT 12
- about periodicity artifacts HOT 2
- Changed in version 2.0: Real datatype inputs are no longer supported. HOT 2
- Univnet and PhaseAug HOT 1
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