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