diff --git a/src/operator/numpy/np_unique_op.cc b/src/operator/numpy/np_unique_op.cc
index 50b288e63347..39a84bad3779 100644
--- a/src/operator/numpy/np_unique_op.cc
+++ b/src/operator/numpy/np_unique_op.cc
@@ -380,6 +380,7 @@ NNVM_REGISTER_OP(_npi_unique)
   [](const NodeAttrs& attrs) {
     return std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
   })
+.set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes)
 .add_argument("data", "NDArray-or-Symbol", "The input array")
 .add_arguments(NumpyUniqueParam::__FIELDS__());
 
diff --git a/tests/python/unittest/test_numpy_op.py b/tests/python/unittest/test_numpy_op.py
index 284791763d20..7267aaa35f7c 100644
--- a/tests/python/unittest/test_numpy_op.py
+++ b/tests/python/unittest/test_numpy_op.py
@@ -6856,7 +6856,7 @@ def hybrid_forward(self, F, a):
         ((5, 3, 4), True, True, True, 1),
     ]
     for dtype in ['float32', 'float64', 'int8', 'uint8', 'int32', 'int64']:
-        for hybridize in [False]:
+        for hybridize in [False, True]:
             for config in configs:
                 test_unique = TestUnique(*config[1:])
                 if hybridize: