Update risk_biased_dataset.py

risk_biased_dataset.py

@@ -71,12 +71,12 @@ class RiskBiasedDataset(datasets.GeneratorBasedBuilder):
             data = json.load(f)
             
             x = torch.from_numpy(numpy.array(data["x"]).astype(numpy.float32))
-            mask_x = torch.from_numpy(numpy.array(data["mask_x"]).astype(numpy.bool8))
+            mask_x = torch.from_numpy(numpy.array(data["mask_x"]).astype(numpy.bool_))
             y = torch.from_numpy(numpy.array(data["y"]).astype(numpy.float32))
-            mask_y = torch.from_numpy(numpy.array(data["mask_y"]).astype(numpy.bool8))
-            mask_loss = torch.from_numpy( numpy.array(data["mask_loss"]).astype(numpy.bool8))
+            mask_y = torch.from_numpy(numpy.array(data["mask_y"]).astype(numpy.bool_))
+            mask_loss = torch.from_numpy( numpy.array(data["mask_loss"]).astype(numpy.bool_))
             map_data = torch.from_numpy(numpy.array(data["map_data"]).astype(numpy.float32))
-            mask_map = torch.from_numpy(numpy.array(data["mask_map"]).astype(numpy.bool8))
+            mask_map = torch.from_numpy(numpy.array(data["mask_map"]).astype(numpy.bool_))
             offset = torch.from_numpy(numpy.array(data["offset"]).astype(numpy.float32))
             x_ego = torch.from_numpy(numpy.array(data["x_ego"]).astype(numpy.float32))
             y_ego = torch.from_numpy(numpy.array(data["y_ego"]).astype(numpy.float32))