diff --git a/data/Indoor3DSemSegLoader.py b/data/Indoor3DSemSegLoader.py
index e9a5b47..3c12759 100644
--- a/data/Indoor3DSemSegLoader.py
+++ b/data/Indoor3DSemSegLoader.py
@@ -77,12 +77,10 @@ class Indoor3DSemSeg(data.Dataset):
         pt_idxs = np.arange(0, self.num_points)
         np.random.shuffle(pt_idxs)
 
-        current_points = torch.from_numpy(self.points[idx, pt_idxs]).type(
-            torch.FloatTensor
-        )
-        current_labels = torch.from_numpy(self.labels[idx, pt_idxs]).type(
-            torch.LongTensor
-        )
+        current_points = torch.from_numpy(self.points[idx, pt_idxs].copy()
+                                         ).type(torch.FloatTensor)
+        current_labels = torch.from_numpy(self.labels[idx, pt_idxs].copy()
+                                         ).type(torch.LongTensor)
 
         return current_points, current_labels
 
diff --git a/data/ModelNet40Loader.py b/data/ModelNet40Loader.py
index ab8a767..150d09b 100644
--- a/data/ModelNet40Loader.py
+++ b/data/ModelNet40Loader.py
@@ -68,7 +68,7 @@ class ModelNet40Cls(data.Dataset):
         pt_idxs = np.arange(0, self.actual_number_of_points)
         np.random.shuffle(pt_idxs)
 
-        current_points = self.points[idx, pt_idxs, :]
+        current_points = self.points[idx, pt_idxs].copy()
         label = torch.from_numpy(self.labels[idx]).type(torch.LongTensor)
 
         if self.transforms is not None: