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make dropout oprional #2

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Eren Golge
2019-05-12 17:35:31 +02:00
parent 820d18c922
commit 6331bccefc
3 changed files with 6 additions and 5 deletions
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models/tacotron2.py
+2 -2
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@@ -9,7 +9,7 @@ from utils.generic_utils import sequence_mask
# TODO: match function arguments with tacotron
class Tacotron2(nn.Module):
def __init__(self, num_chars, r, attn_win=False, attn_norm="softmax", prenet_type="original", forward_attn=False, trans_agent=False, location_attn=True):
def __init__(self, num_chars, r, attn_win=False, attn_norm="softmax", prenet_type="original", prenet_dropout=True, forward_attn=False, trans_agent=False, location_attn=True):
super(Tacotron2, self).__init__()
self.n_mel_channels = 80
self.n_frames_per_step = r
@@ -18,7 +18,7 @@ class Tacotron2(nn.Module):
val = sqrt(3.0) * std # uniform bounds for std
self.embedding.weight.data.uniform_(-val, val)
self.encoder = Encoder(512)
self.decoder = Decoder(512, self.n_mel_channels, r, attn_win, attn_norm, prenet_type, forward_attn, trans_agent, location_attn)
self.decoder = Decoder(512, self.n_mel_channels, r, attn_win, attn_norm, prenet_type, prenet_dropout, forward_attn, trans_agent, location_attn)
self.postnet = Postnet(self.n_mel_channels)
def shape_outputs(self, mel_outputs, mel_outputs_postnet, alignments):