Revert "Autofix format errors"

This reverts commit 45f0b26.
Project-MONAI · Aug 4, 2020 · a0981cd · a0981cd
1 parent 45f0b26
commit a0981cd
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Showing 2 changed files with 5 additions and 15 deletions.
diff --git a/monai/networks/blocks/fcn.py b/monai/networks/blocks/fcn.py
@@ -194,9 +194,7 @@ def forward(self, x: torch.Tensor):
             fs4 = self.refine9(F.interpolate(fs3, conv_x.size()[2:], mode="bilinear", align_corners=True) + gcfm5)
             out = self.refine10(F.interpolate(fs4, org_input.size()[2:], mode="bilinear", align_corners=True))
         else:
-            raise NotImplementedError(
-                f"Currently only 'transpose' and 'interpolate' modes are supported, got {self.upsample_mode}."
-            )
+            raise NotImplementedError(f"Currently only 'transpose' and 'interpolate' modes are supported, got {self.upsample_mode}.")
         return out
 
 

diff --git a/monai/networks/nets/ahnet.py b/monai/networks/nets/ahnet.py
@@ -116,9 +116,7 @@ def __init__(self, num_input_features: int, num_output_features: int, upsample_m
         elif upsample_mode == "interpolate":
             self.add_module("pool", nn.Upsample(scale_factor=2, mode="trilinear", align_corners=True))
         else:
-            raise NotImplementedError(
-                f"Currently only 'transpose' and 'interpolate' modes are supported, got {upsample_mode}."
-            )
+            raise NotImplementedError(f"Currently only 'transpose' and 'interpolate' modes are supported, got {upsample_mode}.")
 
 
 class Final(nn.Sequential):
@@ -145,9 +143,7 @@ def __init__(self, num_input_features: int, num_output_features: int, upsample_m
         elif upsample_mode == "interpolate":
             self.add_module("up", nn.Upsample(scale_factor=2, mode="trilinear", align_corners=True))
         else:
-            raise NotImplementedError(
-                f"Currently only 'transpose' and 'interpolate' modes are supported, got {upsample_mode}."
-            )
+            raise NotImplementedError(f"Currently only 'transpose' and 'interpolate' modes are supported, got {upsample_mode}.")
 
 
 class Pseudo3DLayer(nn.Module):
@@ -260,9 +256,7 @@ def forward(self, x):
                 self.proj8(self.pool8(x)), size=(x.size(2), x.size(3), x.size(4)), mode="trilinear", align_corners=True
             )
         else:
-            raise NotImplementedError(
-                f"Currently only 'transpose' and 'interpolate' modes are supported, got {self.upsample_mode}."
-            )
+            raise NotImplementedError(f"Currently only 'transpose' and 'interpolate' modes are supported, got {self.upsample_mode}.")
         x = torch.cat((x64, x32, x16, x8), dim=1)
         return x
 
@@ -312,9 +306,7 @@ def __init__(self, layers: tuple = (3, 4, 6, 3), upsample_mode: str = "transpose
         elif upsample_mode == "interpolate":
             self.maxpool = pool3d_type(kernel_size=(3, 3, 3), stride=2, padding=1)
         else:
-            raise NotImplementedError(
-                f"Currently only 'transpose' and 'interpolate' modes are supported, got {upsample_mode}."
-            )
+            raise NotImplementedError(f"Currently only 'transpose' and 'interpolate' modes are supported, got {upsample_mode}.")
 
         self.layer1 = self._make_layer(Bottleneck3x3x1, 64, layers[0], stride=1)
         self.layer2 = self._make_layer(Bottleneck3x3x1, 128, layers[1], stride=2)