diff --git a/tests/test_ops/test_group_points.py b/tests/test_ops/test_group_points.py
index a9610c780e..e8eaa66164 100644
--- a/tests/test_ops/test_group_points.py
+++ b/tests/test_ops/test_group_points.py
@@ -88,7 +88,7 @@ def test_stack_grouping_points(dtype, device):
         return
     idx = torch.tensor([[0, 0, 0], [3, 3, 3], [8, 8, 8], [1, 1, 1], [0, 0, 0],
                         [2, 2, 2], [0, 0, 0], [6, 6, 6], [9, 9, 9], [0, 0, 0],
-                        [1, 1, 1], [0, 0, 0]]).int().cuda()
+                        [1, 1, 1], [0, 0, 0]]).int().to(device)
     features = torch.tensor([[
         0.5798, -0.7981, -0.9280, -1.3311, 1.3687, 0.9277, -0.4164, -1.8274,
         0.9268, 0.8414
@@ -113,9 +113,9 @@ def test_stack_grouping_points(dtype, device):
                                  -0.6646, -0.6870, -0.1125, -0.2224, -0.3445,
                                  -1.4049, 0.4990, -0.7037, -0.9924, 0.0386
                              ]],
-                            dtype=dtype).cuda()
-    features_batch_cnt = torch.tensor([3, 3]).int().cuda()
-    indices_batch_cnt = torch.tensor([6, 6]).int().cuda()
+                            dtype=dtype).to(device)
+    features_batch_cnt = torch.tensor([3, 3]).int().to(device)
+    indices_batch_cnt = torch.tensor([6, 6]).int().to(device)
     output = grouping_operation(features, idx, features_batch_cnt,
                                 indices_batch_cnt)
     expected_output = torch.tensor(
@@ -179,5 +179,5 @@ def test_stack_grouping_points(dtype, device):
           [-0.3190, -0.3190, -0.3190], [0.7798, 0.7798, 0.7798],
           [-0.3693, -0.3693, -0.3693], [-0.9457, -0.9457, -0.9457],
           [-0.2942, -0.2942, -0.2942], [-1.8527, -1.8527, -1.8527]]],
-        dtype=dtype).cuda()
+        dtype=dtype).to(device)
     assert torch.allclose(output, expected_output)