refactor: formatting changes ruff formatter

ruff formatter has slight differences in formatting compared to black

imaginairy/modules/diffusion/ddpm.py

@@ -715,16 +715,16 @@ def configure_optimizers(self):
 
 def _TileModeConv2DConvForward(
     self,
-    input_tensor: torch.Tensor,
+    input: torch.Tensor,  # noqa
     weight: torch.Tensor,
-    bias: torch.Tensor,  # noqa
+    bias: torch.Tensor,
 ):
     if self.padding_modeX == self.padding_modeY:
         self.padding_mode = self.padding_modeX
-        return self._orig_conv_forward(input_tensor, weight, bias)
+        return self._orig_conv_forward(input, weight, bias)
 
-    w1 = F.pad(input_tensor, self.paddingX, mode=self.padding_modeX)
-    del input_tensor
+    w1 = F.pad(input, self.paddingX, mode=self.padding_modeX)
+    del input
 
     w2 = F.pad(w1, self.paddingY, mode=self.padding_modeY)
     del w1

imaginairy/modules/refiners_sd.py

@@ -33,16 +33,16 @@
 
 def _tile_mode_conv2d_conv_forward(
     self,
-    tensor_input: torch.Tensor,
+    input: torch.Tensor,  # noqa
     weight: torch.Tensor,
-    bias: torch.Tensor,  # noqa
+    bias: torch.Tensor,
 ):
     if self.padding_mode_x == self.padding_mode_y:
         self.padding_mode = self.padding_mode_x
-        return self._orig_conv_forward(tensor_input, weight, bias)
+        return self._orig_conv_forward(input, weight, bias)
 
-    w1 = F.pad(tensor_input, self.padding_x, mode=self.padding_modeX)
-    del tensor_input
+    w1 = F.pad(input, self.padding_x, mode=self.padding_modeX)
+    del input
 
     w2 = F.pad(w1, self.padding_y, mode=self.padding_modeY)
     del w1