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I found in the brouhaha-vad using the einops and cause this error "AttributeError: 'PyanNet' object has no attribute 'example_output'", the solution is changing with the torch.permute() function,
def forward(self, x: torch.Tensor): .. out = rearrange(out, "n b t o -> b t (n o)") return out
`
how do I retrain the model (best.ckpt) with the new implementation?
I found in the brouhaha-vad using the einops and cause this error "AttributeError: 'PyanNet' object has no attribute 'example_output'", the solution is changing with the torch.permute() function,
def forward(self, x: torch.Tensor): .. out = rearrange(out, "n b t o -> b t (n o)") return out
`
how do I retrain the model (best.ckpt) with the new implementation?
this is the same is issue like in here
pyannote/pyannote-audio#1620
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