I played around Wav2Lip
In my case:
imgs = torch.from_numpy(imgs).float().to(device)
generated the same error…
And I need explicitly set:
torch.backends.cudnn.benchmark = False # was True
and now it works like a magic!
What is the reason behind that?!
Cordially,
Constantine.