Merge pull request #92 from iclementine/develop
sevral fixes to transformer tts
This commit is contained in:
commit
3f60b6e0a3
|
@ -317,14 +317,14 @@ class MLPPreNet(nn.Layer):
|
|||
super(MLPPreNet, self).__init__()
|
||||
self.lin1 = nn.Linear(d_input, d_hidden)
|
||||
self.lin2 = nn.Linear(d_hidden, d_hidden)
|
||||
self.lin3 = nn.Linear(d_hidden, d_hidden)
|
||||
self.lin3 = nn.Linear(d_hidden, d_output)
|
||||
self.dropout = dropout
|
||||
|
||||
def forward(self, x, dropout):
|
||||
l1 = F.dropout(
|
||||
F.relu(self.lin1(x)), self.dropout, training=self.training)
|
||||
F.relu(self.lin1(x)), self.dropout, training=True)
|
||||
l2 = F.dropout(
|
||||
F.relu(self.lin2(l1)), self.dropout, training=self.training)
|
||||
F.relu(self.lin2(l1)), self.dropout, training=True)
|
||||
l3 = self.lin3(l2)
|
||||
return l3
|
||||
|
||||
|
@ -473,7 +473,7 @@ class TransformerTTS(nn.Layer):
|
|||
# twice its length if needed
|
||||
if x.shape[1] * self.r > self.decoder_pe.shape[0]:
|
||||
new_T = max(x.shape[1] * self.r, self.decoder_pe.shape[0] * 2)
|
||||
self.decoder_pe = pe.positional_encoding(0, new_T, self.d_decoder)
|
||||
self.decoder_pe = pe.sinusoid_positional_encoding(0, new_T, self.d_decoder)
|
||||
pos_enc = self.decoder_pe[:T_dec * self.r:self.r, :]
|
||||
x = x.scale(math.sqrt(
|
||||
self.d_decoder)) + pos_enc * self.decoder_pe_scalar
|
||||
|
|
Loading…
Reference in New Issue