fix formatting

Author: jdsgomes

torchvision/models/swin_transformer.py

@@ -193,19 +193,20 @@ def __init__(
         relative_coords[:, :, 1] += self.window_size - 1
         relative_coords[:, :, 0] *= 2 * self.window_size - 1
         relative_position_index = relative_coords.sum(-1).view(-1)  # Wh*Ww*Wh*Ww
-        
+
         # define a parameter table of relative position bias
-        relative_position_bias_table = torch.zeros((2 * window_size - 1) * (2 * window_size - 1), num_heads) # 2*Wh-1 * 2*Ww-1, nH
+        relative_position_bias_table = torch.zeros(
+            (2 * window_size - 1) * (2 * window_size - 1), num_heads
+        )  # 2*Wh-1 * 2*Ww-1, nH
         nn.init.trunc_normal_(relative_position_bias_table, std=0.02)
-        
+
         relative_position_bias = relative_position_bias_table[relative_position_index]  # type: ignore[index]
         relative_position_bias = relative_position_bias.view(
             self.window_size * self.window_size, self.window_size * self.window_size, -1
         )
         self.relative_position_bias = nn.Parameter(relative_position_bias.permute(2, 0, 1).contiguous().unsqueeze(0))
 
     def forward(self, x: Tensor):
-        
 
         return shifted_window_attention(
             x,