diff --git a/segmentation_models_pytorch/decoders/upernet/decoder.py b/segmentation_models_pytorch/decoders/upernet/decoder.py
index b36d3b40..092de36a 100644
--- a/segmentation_models_pytorch/decoders/upernet/decoder.py
+++ b/segmentation_models_pytorch/decoders/upernet/decoder.py
@@ -36,10 +36,10 @@ def __init__(
         )
 
     def forward(self, x):
-        _, _, height, weight = x.shape
+        _, _, height, width = x.shape
         out = [x] + [
             F.interpolate(
-                block(x), size=(height, weight), mode="bilinear", align_corners=False
+                block(x), size=(height, width), mode="bilinear", align_corners=False
             )
             for block in self.blocks
         ]
@@ -62,10 +62,8 @@ def __init__(self, skip_channels, pyramid_channels, use_bathcnorm=True):
         )
 
     def forward(self, x, skip):
-        _, channels, height, weight = skip.shape
-        x = F.interpolate(
-            x, size=(height, weight), mode="bilinear", align_corners=False
-        )
+        _, channels, height, width = skip.shape
+        x = F.interpolate(x, size=(height, width), mode="bilinear", align_corners=False)
         if channels != 0:
             skip = self.skip_conv(skip)
             x = x + skip