diff --git a/python/paddle/fluid/tests/unittests/test_compare_op.py b/python/paddle/fluid/tests/unittests/test_compare_op.py
index 8ae2d9221862c86afdd821e241218a905c2b98a8..8a4608a5450868e0726c5fb640dbf07249d3f320 100755
--- a/python/paddle/fluid/tests/unittests/test_compare_op.py
+++ b/python/paddle/fluid/tests/unittests/test_compare_op.py
@@ -480,6 +480,22 @@ class API_TestElementwise_Equal(unittest.TestCase):
                 self.assertEqual((res == np.array([True, False])).all(), True)
 
 
+class API_TestElementwise_Greater_Than(unittest.TestCase):
+    def test_api_fp16(self):
+        paddle.enable_static()
+        with paddle.static.program_guard(
+            paddle.static.Program(), paddle.static.Program()
+        ):
+            label = paddle.to_tensor([3, 3], dtype="float16")
+            limit = paddle.to_tensor([3, 2], dtype="float16")
+            out = paddle.greater_than(x=label, y=limit)
+            if core.is_compiled_with_cuda():
+                place = paddle.CUDAPlace(0)
+                exe = paddle.static.Executor(place)
+                (res,) = exe.run(fetch_list=[out])
+                self.assertEqual((res == np.array([False, True])).all(), True)
+
+
 class TestCompareOpPlace(unittest.TestCase):
     def test_place_1(self):
         paddle.enable_static()
diff --git a/python/paddle/tensor/logic.py b/python/paddle/tensor/logic.py
index cb02050002c83234e346ce61e9b7baee6daeabfb..0ca0935c88a560dfea19017056e10a92e684a805 100644
--- a/python/paddle/tensor/logic.py
+++ b/python/paddle/tensor/logic.py
@@ -548,8 +548,8 @@ def greater_than(x, y, name=None):
         The output has no gradient.
 
     Args:
-        x(Tensor): First input to compare which is N-D tensor. The input data type should be bool, float32, float64, int32, int64.
-        y(Tensor): Second input to compare which is N-D tensor. The input data type should be bool, float32, float64, int32, int64.
+        x(Tensor): First input to compare which is N-D tensor. The input data type should be bool, float16, float32, float64, int32, int64.
+        y(Tensor): Second input to compare which is N-D tensor. The input data type should be bool, float16, float32, float64, int32, int64.
         name(str, optional): The default value is None.  Normally there is no need for
             user to set this property.  For more information, please refer to :ref:`api_guide_Name`.
     Returns:
@@ -571,13 +571,13 @@ def greater_than(x, y, name=None):
         check_variable_and_dtype(
             x,
             "x",
-            ["bool", "float32", "float64", "int32", "int64"],
+            ["bool", "float16", "float32", "float64", "int32", "int64"],
             "greater_than",
         )
         check_variable_and_dtype(
             y,
             "y",
-            ["bool", "float32", "float64", "int32", "int64"],
+            ["bool", "float16", "float32", "float64", "int32", "int64"],
             "greater_than",
         )
         helper = LayerHelper("greater_than", **locals())