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fix(dml): train extract_f0_print error

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ModuleNotFoundError: No module named 'torch.privateuseone' due to new prosess
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源文雨
2025-11-21 16:52:17 +08:00
parent 7fa122045f
commit 43d19eb00e
13 changed files with 50 additions and 39 deletions
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6
rvc/layers/residuals.py
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@@ -20,7 +20,7 @@ class ResBlock1(torch.nn.Module):
self,
channels: int,
kernel_size: int = 3,
dilation: List[int] = (1, 3, 5),
dilation: List[int] = [1, 3, 5],
):
super(ResBlock1, self).__init__()
@@ -117,7 +117,7 @@ class ResBlock2(torch.nn.Module):
self,
channels: int,
kernel_size=3,
dilation: List[int] = (1, 3),
dilation: List[int] = [1, 3],
):
super(ResBlock2, self).__init__()
self.convs = nn.ModuleList()
@@ -182,7 +182,7 @@ class ResidualCouplingLayer(nn.Module):
kernel_size: int,
dilation_rate: int,
n_layers: int,
p_dropout: int = 0,
p_dropout: float = 0,
gin_channels: int = 0,
mean_only: bool = False,
):