HoneyTian commited on
Commit
75f7547
·
1 Parent(s): d2323d2

add frcrn model

Browse files
toolbox/torchaudio/models/frcrn/unet.py CHANGED
@@ -306,7 +306,7 @@ class UNet(nn.Module):
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  :return:
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  """
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  x = inputs
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- print(f"inputs: {x.shape}")
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  # go down
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  xs = list()
@@ -316,18 +316,18 @@ class UNet(nn.Module):
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  xs.append(x)
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  # print(f"x: {x.shape}")
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  x = encoder_layer.forward(x)
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- print(f"x: {x.shape}")
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  xs_se.append(x)
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  # x shape: [b, c, 1, t', 2]
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  x = self.fsmn.forward(x)
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  # x shape: [b, c, 1, t', 2]
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- print(f"fsmn")
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  p = x
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  for i, decoder_layers in enumerate(self.decoder_layers):
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  p = decoder_layers.forward(p)
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- print(f"p: {p.shape}")
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  if i == self.model_length - 1:
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  break
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  p = torch.cat(tensors=[p, xs_se[self.model_length - 1 - i]], dim=1)
 
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  :return:
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  """
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  x = inputs
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+ # print(f"inputs: {x.shape}")
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  # go down
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  xs = list()
 
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  xs.append(x)
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  # print(f"x: {x.shape}")
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  x = encoder_layer.forward(x)
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+ # print(f"x: {x.shape}")
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  xs_se.append(x)
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  # x shape: [b, c, 1, t', 2]
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  x = self.fsmn.forward(x)
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  # x shape: [b, c, 1, t', 2]
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+ # print(f"fsmn")
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  p = x
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  for i, decoder_layers in enumerate(self.decoder_layers):
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  p = decoder_layers.forward(p)
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+ # print(f"p: {p.shape}")
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  if i == self.model_length - 1:
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  break
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  p = torch.cat(tensors=[p, xs_se[self.model_length - 1 - i]], dim=1)