Update attentions.py

attentions.py

@@ -44,8 +44,8 @@ class Encoder(nn.Module):
       self.ffn_layers.append(FFN(hidden_channels, hidden_channels, filter_channels, kernel_size, p_dropout=p_dropout))
       self.norm_layers_2.append(LayerNorm(hidden_channels))
    def forward(self, x, x_mask, g=None):
-       if g is not None:
-           g = self.cond_layer(g)
+    if g is not None:
+      g = self.cond_layer(g)
     attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1)
     x = x * x_mask
     for i in range(self.n_layers):