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Code Issues Releases Wiki Activity

model.py: attending to full mel instead of prenet and dropout mel

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Rafael Valle
2018-05-18 06:59:09 -07:00
parent da30fd8709
commit 977cb37cea
1 changed files with 5 additions and 6 deletions
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11
model.py
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@@ -221,7 +221,7 @@ class Decoder(nn.Module):
[hparams.prenet_dim, hparams.prenet_dim])
self.attention_rnn = nn.LSTMCell(
hparams.prenet_dim + hparams.encoder_embedding_dim,
hparams.decoder_rnn_dim + hparams.encoder_embedding_dim,
hparams.attention_rnn_dim)
self.attention_layer = Attention(
@@ -230,7 +230,7 @@ class Decoder(nn.Module):
hparams.attention_location_kernel_size)
self.decoder_rnn = nn.LSTMCell(
hparams.attention_rnn_dim + hparams.encoder_embedding_dim,
hparams.prenet_dim + hparams.encoder_embedding_dim,
hparams.decoder_rnn_dim, 1)
self.linear_projection = LinearNorm(
@@ -351,8 +351,8 @@ class Decoder(nn.Module):
attention_weights:
"""
decoder_input = self.prenet(decoder_input)
cell_input = torch.cat((decoder_input, self.attention_context), -1)
prenet_output = self.prenet(decoder_input)
cell_input = torch.cat((self.decoder_hidden, self.attention_context), -1)
self.attention_hidden, self.attention_cell = self.attention_rnn(
cell_input, (self.attention_hidden, self.attention_cell))
@@ -364,8 +364,7 @@ class Decoder(nn.Module):
attention_weights_cat, self.mask)
self.attention_weights_cum += self.attention_weights
decoder_input = torch.cat(
(self.attention_hidden, self.attention_context), -1)
decoder_input = torch.cat((prenet_output, self.attention_context), -1)
self.decoder_hidden, self.decoder_cell = self.decoder_rnn(
decoder_input, (self.decoder_hidden, self.decoder_cell))