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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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16
GPT_SoVITS/BigVGAN/alias_free_activation/cuda/activation1d.py
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@@ -20,9 +20,7 @@ class FusedAntiAliasActivation(torch.autograd.Function):
@staticmethod
def forward(ctx, inputs, up_ftr, down_ftr, alpha, beta):
activation_results = anti_alias_activation_cuda.forward(
inputs, up_ftr, down_ftr, alpha, beta
)
activation_results = anti_alias_activation_cuda.forward(inputs, up_ftr, down_ftr, alpha, beta)
return activation_results
@@ -61,17 +59,11 @@ class Activation1d(nn.Module):
if self.act.__class__.__name__ == "Snake":
beta = self.act.alpha.data # Snake uses same params for alpha and beta
else:
beta = (
self.act.beta.data
) # Snakebeta uses different params for alpha and beta
beta = self.act.beta.data # Snakebeta uses different params for alpha and beta
alpha = self.act.alpha.data
if (
not self.act.alpha_logscale
): # Exp baked into cuda kernel, cancel it out with a log
if not self.act.alpha_logscale: # Exp baked into cuda kernel, cancel it out with a log
alpha = torch.log(alpha)
beta = torch.log(beta)
x = FusedAntiAliasActivation.apply(
x, self.upsample.filter, self.downsample.lowpass.filter, alpha, beta
)
x = FusedAntiAliasActivation.apply(x, self.upsample.filter, self.downsample.lowpass.filter, alpha, beta)
return x