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Refactor: Format Code with Ruff and Update Deprecated G2PW Link (#2255)

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* ruff check --fix

* ruff format --line-length 120 --target-version py39

* Change the link for G2PW Model

* update pytorch version and colab
This commit is contained in:
XXXXRT666
2025-04-07 09:42:47 +01:00
committed by GitHub
parent 9da7e17efe
commit 53cac93589
132 changed files with 8185 additions and 6648 deletions
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4
GPT_SoVITS/BigVGAN/alias_free_activation/torch/filter.py
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@@ -27,9 +27,7 @@ else:
# This code is adopted from adefossez's julius.lowpass.LowPassFilters under the MIT License
# https://adefossez.github.io/julius/julius/lowpass.html
# LICENSE is in incl_licenses directory.
def kaiser_sinc_filter1d(
cutoff, half_width, kernel_size
): # return filter [1,1,kernel_size]
def kaiser_sinc_filter1d(cutoff, half_width, kernel_size): # return filter [1,1,kernel_size]
even = kernel_size % 2 == 0
half_size = kernel_size // 2

20
GPT_SoVITS/BigVGAN/alias_free_activation/torch/resample.py
View File

@@ -11,18 +11,12 @@ class UpSample1d(nn.Module):
def __init__(self, ratio=2, kernel_size=None):
super().__init__()
self.ratio = ratio
self.kernel_size = (
int(6 * ratio // 2) * 2 if kernel_size is None else kernel_size
)
self.kernel_size = int(6 * ratio // 2) * 2 if kernel_size is None else kernel_size
self.stride = ratio
self.pad = self.kernel_size // ratio - 1
self.pad_left = self.pad * self.stride + (self.kernel_size - self.stride) // 2
self.pad_right = (
self.pad * self.stride + (self.kernel_size - self.stride + 1) // 2
)
filter = kaiser_sinc_filter1d(
cutoff=0.5 / ratio, half_width=0.6 / ratio, kernel_size=self.kernel_size
)
self.pad_right = self.pad * self.stride + (self.kernel_size - self.stride + 1) // 2
filter = kaiser_sinc_filter1d(cutoff=0.5 / ratio, half_width=0.6 / ratio, kernel_size=self.kernel_size)
self.register_buffer("filter", filter)
# x: [B, C, T]
@@ -30,9 +24,7 @@ class UpSample1d(nn.Module):
_, C, _ = x.shape
x = F.pad(x, (self.pad, self.pad), mode="replicate")
x = self.ratio * F.conv_transpose1d(
x, self.filter.expand(C, -1, -1), stride=self.stride, groups=C
)
x = self.ratio * F.conv_transpose1d(x, self.filter.expand(C, -1, -1), stride=self.stride, groups=C)
x = x[..., self.pad_left : -self.pad_right]
return x
@@ -42,9 +34,7 @@ class DownSample1d(nn.Module):
def __init__(self, ratio=2, kernel_size=None):
super().__init__()
self.ratio = ratio
self.kernel_size = (
int(6 * ratio // 2) * 2 if kernel_size is None else kernel_size
)
self.kernel_size = int(6 * ratio // 2) * 2 if kernel_size is None else kernel_size
self.lowpass = LowPassFilter1d(
cutoff=0.5 / ratio,
half_width=0.6 / ratio,