return hidden & cell states
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@ -23,7 +23,7 @@ class DeLSTM(nn.Module):
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output,(h,c) = self.lstm(x)
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output = self.linear(output)
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return output
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return output,(h,c)
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class Demucs(nn.Module):
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@ -86,19 +86,22 @@ class Demucs(nn.Module):
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def forward(self,mixed_signal):
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if mixed_signal.dim() == 2:
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mixed_signal = mixed_signal.unsqueeze(1)
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length = mixed_signal.shape[-1]
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x = F.pad(mixed_signal, (0,self.get_padding_length(length) - length))
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if self.resample>1:
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x = audio.pt_resample_audio(audio=x, sr=self.sampling_rate,
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target_sr=int(self.sampling_rate * self.resample))
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print("resampled->",x.shape)
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encoder_outputs = []
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for encoder in self.encoder:
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x = encoder(x)
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print(x.shape)
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encoder_outputs.append(x)
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x = x.permute(0,2,1)
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x = self.de_lstm(x)
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x,_ = self.de_lstm(x)
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x = x.permute(0,2,1)
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for decoder in self.decoder:
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