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Update wavenet.py #1796

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merged 2 commits into from
Aug 1, 2022
Merged

Update wavenet.py #1796

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2684a74
Update wavenet.py
p0p4k Jul 27, 2022
b4aab28
"in_channels -> hidden_channels"
p0p4k Jul 27, 2022
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11 changes: 8 additions & 3 deletions TTS/tts/layers/generic/wavenet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -67,9 +67,14 @@ def __init__(
for i in range(num_layers):
dilation = dilation_rate**i
padding = int((kernel_size * dilation - dilation) / 2)
in_layer = torch.nn.Conv1d(
hidden_channels, 2 * hidden_channels, kernel_size, dilation=dilation, padding=padding
)
if i == 0:
in_layer = torch.nn.Conv1d(
in_channels, 2 * hidden_channels, kernel_size, dilation=dilation, padding=padding
)
else:
in_layer = torch.nn.Conv1d(
hidden_channels, 2 * hidden_channels, kernel_size, dilation=dilation, padding=padding
)
in_layer = torch.nn.utils.weight_norm(in_layer, name="weight")
self.in_layers.append(in_layer)

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2 changes: 1 addition & 1 deletion TTS/tts/layers/glow_tts/glow.py
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Expand Up @@ -197,7 +197,7 @@ def __init__(
end.bias.data.zero_()
self.end = end
# coupling layers
self.wn = WN(in_channels, hidden_channels, kernel_size, dilation_rate, num_layers, c_in_channels, dropout_p)
self.wn = WN(hidden_channels, hidden_channels, kernel_size, dilation_rate, num_layers, c_in_channels, dropout_p)

def forward(self, x, x_mask=None, reverse=False, g=None, **kwargs): # pylint: disable=unused-argument
"""
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