[Examples] Fix bugs of numpy in examples. (#6546)

Co-authored-by: Ubuntu <ubuntu@ip-172-31-0-133.us-west-2.compute.internal>

examples/pytorch/bgnn/BGNN.py

@@ -374,9 +374,9 @@ class BGNNPredictor:
 
         # initialize for early stopping and metrics
         if metric_name in ["r2", "accuracy"]:
-            best_metric = [np.float("-inf")] * 3  # for train/val/test
+            best_metric = [np.cfloat("-inf")] * 3  # for train/val/test
         else:
-            best_metric = [np.float("inf")] * 3  # for train/val/test
+            best_metric = [np.cfloat("inf")] * 3  # for train/val/test
 
         best_val_epoch = 0
         epochs_since_last_best_metric = 0

examples/pytorch/gas/dataloader.py

@@ -128,9 +128,9 @@ class GASDataset(DGLBuiltinDataset):
         test_idx = index[
             int(train_size * num_edges) : num_edges - int(val_size * num_edges)
         ]
-        train_mask = np.zeros(num_edges, dtype=np.bool)
-        val_mask = np.zeros(num_edges, dtype=np.bool)
-        test_mask = np.zeros(num_edges, dtype=np.bool)
+        train_mask = np.zeros(num_edges, dtype=np.bool_)
+        val_mask = np.zeros(num_edges, dtype=np.bool_)
+        test_mask = np.zeros(num_edges, dtype=np.bool_)
         train_mask[train_idx] = True
         val_mask[val_idx] = True
         test_mask[test_idx] = True

examples/pytorch/ogb/cluster-gat/sampler.py

@@ -33,6 +33,7 @@ class ClusterIter(object):
             else:
                 os.makedirs("./datasets/", exist_ok=True)
                 self.par_li = get_partition_list(g, psize)
+                self.par_li = np.array(self.par_li, dtype=object)
                 np.save(fn, self.par_li)
         else:
             self.par_li = get_partition_list(g, psize)

examples/pytorch/ogb/cluster-sage/sampler.py

@@ -39,6 +39,7 @@ class ClusterIter(object):
             else:
                 os.makedirs("./datasets/", exist_ok=True)
                 self.par_li = get_partition_list(g, psize)
+                self.par_li = np.array(self.par_li, dtype=object)
                 np.save(fn, self.par_li)
         else:
             self.par_li = get_partition_list(g, psize)