7d5bcd6ca4486e1f33d6de2533f56861d197a4bd,layers/tacotron.py,CBHG,forward,#CBHG#Any#,92

Before Change

        // (B, in_dim*K, T_in)
        // Concat conv1d bank outputs
        x = torch.cat([conv1d(x)[:, :, :T] for conv1d in self.conv1d_banks], dim=1)
        assert x.size(1) == self.in_dim * len(self.conv1d_banks)
        x = self.max_pool1d(x)[:, :, :T]

        for conv1d in self.conv1d_projections:

After Change

        // (B, in_features*K, T_in)
        // Concat conv1d bank outputs
        outs = []
        for conv1d in self.conv1d_banks:
            out = conv1d(x)
            out = out[:, :, :T]
            outs.append(out)
        
        x = torch.cat(outs, dim=1)
        assert x.size(1) == self.in_features * len(self.conv1d_banks)

        x = self.max_pool1d(x)[:, :, :T]

Instances