diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index 9d1c1a1c8c5d7914b705a1993eaee31ad14075a8..f0d741a8cdaa45d00c21cd60fde6d4289186a7bc 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -9179,6 +9179,8 @@ def brelu(x, t_min=0.0, t_max=24.0, name=None):
                 #[[ 1.  6.]
                 #[ 1. 10.]] 
     """
+    check_variable_and_dtype(x, 'x', ['float16', 'float32', 'float64'], 'brelu')
+
     helper = LayerHelper('brelu', **locals())
     out = helper.create_variable_for_type_inference(dtype=x.dtype)
     helper.append_op(
diff --git a/python/paddle/fluid/tests/unittests/test_activation_op.py b/python/paddle/fluid/tests/unittests/test_activation_op.py
index e24818c32af13b0722a8b173586d437a6c31a576..d37bb3e81cfceb9b1e41274c5c9fe49221f1341f 100644
--- a/python/paddle/fluid/tests/unittests/test_activation_op.py
+++ b/python/paddle/fluid/tests/unittests/test_activation_op.py
@@ -520,6 +520,20 @@ class TestBRelu(TestActivation):
         self.check_grad(['X'], 'Out')
 
 
+class TestBReluOpError(unittest.TestCase):
+    def test_errors(self):
+        with program_guard(Program()):
+            # The input type must be Variable.
+            self.assertRaises(TypeError, fluid.layers.brelu, 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.brelu, x_int32)
+            # support the input dtype is float16
+            x_fp16 = fluid.layers.data(
+                name='x_fp16', shape=[12, 10], dtype='float16')
+            fluid.layers.brelu(x_fp16)
+
+
 class TestRelu6(TestActivation):
     def setUp(self):
         self.op_type = "relu6"