diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index ca84ffe5f7291f3a784ce36a50da6e58a90b64ed..5d41729f631b4f267aff683b7bd7882c4784f7cb 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -8201,6 +8201,8 @@ def relu(x, name=None):
     if in_dygraph_mode():
         return core.ops.relu(x)
 
+    check_variable_and_dtype(x, 'x', ['float16', 'float32', 'float64'], 'relu')
+
     inputs = {'X': [x]}
     helper = LayerHelper('relu', **locals())
     dtype = helper.input_dtype(input_param_name='x')
diff --git a/python/paddle/fluid/tests/unittests/test_activation_op.py b/python/paddle/fluid/tests/unittests/test_activation_op.py
index 033e1dafc1ed4e19a2b6c96ae0a8d695d2e613b4..5dc89591e7716727deba0569f8e9ae2c8321c1aa 100644
--- a/python/paddle/fluid/tests/unittests/test_activation_op.py
+++ b/python/paddle/fluid/tests/unittests/test_activation_op.py
@@ -431,6 +431,20 @@ class TestRelu(TestActivation):
         self.check_grad(['X'], 'Out')
 
 
+class TestReluOpError(unittest.TestCase):
+    def test_errors(self):
+        with program_guard(Program()):
+            # The input type must be Variable.
+            self.assertRaises(TypeError, fluid.layers.sqrt, 1)
+            # The input dtype must be float16, float32, float64.
+            x_int32 = fluid.data(name='x_int32', shape=[12, 10], dtype='int32')
+            self.assertRaises(TypeError, fluid.layers.relu, x_int32)
+            # support the input dtype is float16
+            x_fp16 = fluid.layers.data(
+                name='x_fp16', shape=[12, 10], dtype='float16')
+            fluid.layers.relu(x_fp16)
+
+
 class TestLeakyRelu(TestActivation):
     def setUp(self):
         self.op_type = "leaky_relu"