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fixed depth issue #15

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fixed depth issue #15

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5 changes: 3 additions & 2 deletions model/waveunet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,8 +34,9 @@ def forward(self, x, shortcut):
combined = centre_crop(shortcut, upsampled)

# Combine high- and low-level features
combined = torch.cat([combined, centre_crop(upsampled, combined)], dim=1)
for conv in self.post_shortcut_convs:
combined = conv(torch.cat([combined, centre_crop(upsampled, combined)], dim=1))
combined = conv(combined)
return combined

def get_output_size(self, input_size):
Expand Down Expand Up @@ -230,4 +231,4 @@ def forward(self, x, inst=None):
out_dict = {}
for idx, inst in enumerate(self.instruments):
out_dict[inst] = out[:, idx * self.num_outputs:(idx + 1) * self.num_outputs]
return out_dict
return out_dict