diff --git a/minerva/analysis/metrics/transformed_metrics.py b/minerva/analysis/metrics/transformed_metrics.py
index e527ce5..b394b1f 100644
--- a/minerva/analysis/metrics/transformed_metrics.py
+++ b/minerva/analysis/metrics/transformed_metrics.py
@@ -177,5 +177,5 @@ def resize(self, x: torch.Tensor) -> torch.Tensor:
             elif self.target_w_size is None:
                 scale = target_h_size / h
                 target_w_size = int(w * scale)
-
+        x = x.to(torch.uint8) if x.type() == "torch.LongTensor" else x
         return torch.nn.functional.interpolate(x, size=(target_h_size, target_w_size))
diff --git a/minerva/engines/patch_inferencer_engine.py b/minerva/engines/patch_inferencer_engine.py
index f9c050e..74185b5 100644
--- a/minerva/engines/patch_inferencer_engine.py
+++ b/minerva/engines/patch_inferencer_engine.py
@@ -251,7 +251,6 @@ def _combine_patches(
             )
             reconstructed.append(reconstruct)
             weights.append(weight)
-            print(reconstruct.shape)
         reconstructed = torch.stack(reconstructed, dim=0)
         weights = torch.stack(weights, dim=0)
         return torch.sum(reconstructed * weights, dim=0) / torch.sum(weights, dim=0)