Fix RAFT input dimension check

torchvision/models/optical_flow/raft.py

@@ -486,7 +486,7 @@ def forward(self, image1, image2, num_flow_updates: int = 12):
         batch_size, _, h, w = image1.shape
         if (h, w) != image2.shape[-2:]:
             raise ValueError(f"input images should have the same shape, instead got ({h}, {w}) != {image2.shape[-2:]}")
-        if not (h % 8 == 0) and (w % 8 == 0):
+        if not ((h % 8 == 0) and (w % 8 == 0)):
             raise ValueError(f"input image H and W should be divisible by 8, instead got {h} (h) and {w} (w)")
 
         fmaps = self.feature_encoder(torch.cat([image1, image2], dim=0))