def mel_spectrogram(self, y):
assert(torch.min(y.data) >= -1) # Getting value of tensor(-34834.9805)
assert(torch.max(y.data) <= 1)
I am getting assertion error in the above function in commons.py during training. Is this a issue due to incorrect training data and how to handle the issue? Any tips?
def mel_spectrogram(self, y): assert(torch.min(y.data) >= -1) # Getting value of tensor(-34834.9805) assert(torch.max(y.data) <= 1)
I am getting assertion error in the above function in commons.py during training. Is this a issue due to incorrect training data and how to handle the issue? Any tips?