diff --git a/backends/mlu/tests/unittests/test_zero_dim_tensor_mlu.py b/backends/mlu/tests/unittests/test_zero_dim_tensor_mlu.py
index cc6b5ae452d..05128a36e44 100644
--- a/backends/mlu/tests/unittests/test_zero_dim_tensor_mlu.py
+++ b/backends/mlu/tests/unittests/test_zero_dim_tensor_mlu.py
@@ -626,6 +626,16 @@ def test_reverse(self):
         self.assertEqual(out.shape, [])
         self.assertEqual(out.grad.shape, [])
 
+    def test_scale(self):
+        x = paddle.rand([])
+        x.stop_gradient = False
+        out = paddle.scale(x, scale=2.0, bias=1.0)
+        out.backward()
+
+        self.assertEqual(out.shape, [])
+        self.assertEqual(out.grad.shape, [])
+        self.assertEqual(x.grad.shape, [])
+
 
 # Use to test API whose zero-dim input tensors don't have grad and not need to test backward in OpTest.
 class TestNoBackwardAPI(unittest.TestCase):
diff --git a/backends/npu/tests/unittests/test_zero_dim_tensor_npu.py b/backends/npu/tests/unittests/test_zero_dim_tensor_npu.py
index 9abf5cf71e9..a6ca505013e 100644
--- a/backends/npu/tests/unittests/test_zero_dim_tensor_npu.py
+++ b/backends/npu/tests/unittests/test_zero_dim_tensor_npu.py
@@ -626,6 +626,41 @@ def test_reverse(self):
         self.assertEqual(out.shape, [])
         self.assertEqual(out.grad.shape, [])
 
+    def test_scale(self):
+        x = paddle.rand([])
+        x.stop_gradient = False
+        out = paddle.scale(x, scale=2.0, bias=1.0)
+        out.backward()
+
+        self.assertEqual(out.shape, [])
+        self.assertEqual(out.grad.shape, [])
+        self.assertEqual(x.grad.shape, [])
+
+    def test_floor_divide(self):
+        # 1-d // 0-d
+        x = paddle.to_tensor([1, -2, 3], dtype="int64")
+        y = paddle.full([], 2, dtype="int64")
+        out1_1 = paddle.floor_divide(x, y)
+        out1_2 = paddle.Tensor.__floordiv__(x, y)
+
+        np.testing.assert_array_equal(out1_1.numpy(), out1_2.numpy())
+        np.testing.assert_array_equal(out1_1.numpy(), np.asarray([0, -1, 1]))
+
+        # 0-d // 1-d
+        out2_1 = paddle.floor_divide(y, x)
+        out2_2 = paddle.Tensor.__floordiv__(y, x)
+
+        np.testing.assert_array_equal(out2_1.numpy(), out2_2.numpy())
+        np.testing.assert_array_equal(out2_2.numpy(), np.asarray([2, -1, 0]))
+
+        # 0-d // 0-d
+        x = paddle.full([], 3, dtype="int64")
+        out3_1 = paddle.floor_divide(x, y)
+        out3_2 = paddle.Tensor.__floordiv__(x, y)
+
+        np.testing.assert_array_equal(out3_1.numpy(), out3_2.numpy())
+        np.testing.assert_array_equal(out3_2.numpy(), np.asarray(1))
+
 
 # Use to test API whose zero-dim input tensors don't have grad and not need to test backward in OpTest.
 class TestNoBackwardAPI(unittest.TestCase):