From 15db4b6908bab5ebb0e53490aa34ea5f87825ab4 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Sat, 28 Dec 2024 21:49:49 +0000
Subject: [PATCH] chore(format): run black on main

---
 rvc/lib/algorithm/generators/hifigan.py | 2 +-
 rvc/lib/algorithm/residuals.py          | 2 ++
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/rvc/lib/algorithm/generators/hifigan.py b/rvc/lib/algorithm/generators/hifigan.py
index cbb6f900..1f18dfac 100644
--- a/rvc/lib/algorithm/generators/hifigan.py
+++ b/rvc/lib/algorithm/generators/hifigan.py
@@ -73,7 +73,7 @@ def __init__(
     def forward(self, x: torch.Tensor, g: Optional[torch.Tensor] = None):
         # new tensor
         x = self.conv_pre(x)
-        
+
         if g is not None:
             # in-place call
             x += self.cond(g)
diff --git a/rvc/lib/algorithm/residuals.py b/rvc/lib/algorithm/residuals.py
index 98424365..df7d544d 100644
--- a/rvc/lib/algorithm/residuals.py
+++ b/rvc/lib/algorithm/residuals.py
@@ -26,9 +26,11 @@ def create_conv1d_layer(channels, kernel_size, dilation):
 def apply_mask(tensor: torch.Tensor, mask: Optional[torch.Tensor]):
     return tensor * mask if mask else tensor
 
+
 def apply_mask_(tensor: torch.Tensor, mask: Optional[torch.Tensor]):
     return tensor.mul_(mask) if mask else tensor
 
+
 class ResBlock(torch.nn.Module):
     """
     A residual block module that applies a series of 1D convolutional layers with residual connections.