diff --git a/dgmr/common.py b/dgmr/common.py
index 70b20fc..2cf5e70 100644
--- a/dgmr/common.py
+++ b/dgmr/common.py
@@ -271,7 +271,6 @@ def __init__(
         )
 
     def forward(self, x) -> torch.Tensor:
-
         if self.input_channels < self.output_channels:
             sc = self.conv_1x1(x)
             sc = torch.cat([x, sc], dim=1)
diff --git a/tests/test_losses.py b/tests/test_losses.py
index b5f27d4..d456261 100644
--- a/tests/test_losses.py
+++ b/tests/test_losses.py
@@ -4,7 +4,6 @@
 
 
 def test_ssim_loss():
-
     x = torch.rand((2, 3, 32, 32))
     y = torch.rand((2, 3, 32, 32))
 
@@ -17,7 +16,6 @@ def test_ssim_loss():
 
 
 def test_ms_ssim_loss():
-
     x = torch.rand((2, 3, 256, 256))
     y = torch.rand((2, 3, 256, 256))
 
@@ -30,7 +28,6 @@ def test_ms_ssim_loss():
 
 
 def test_ssim_loss_dynamic():
-
     x = torch.rand((2, 3, 256, 256))
     y = torch.rand((2, 3, 256, 256))
     curr_image = torch.rand((2, 3, 256, 256))
@@ -44,7 +41,6 @@ def test_ssim_loss_dynamic():
 
 
 def test_tv_loss():
-
     x = torch.ones((2, 3, 256, 256))
     x[0, 0, 0, 0] = 2.5