fix: upsampler channels

Author: flavioschneider

audio_diffusion_pytorch/model.py

@@ -172,7 +172,6 @@ def forward(  # type: ignore
             latent = self.encode(x)
 
         channels_list = self.multiencoder.decode(latent)
-        print([x.shape for x in channels_list])
         loss = self.diffusion(x, channels_list=channels_list, **kwargs)
         return (loss, info) if with_info else loss