diff --git a/python/paddle/fluid/dygraph/nn.py b/python/paddle/fluid/dygraph/nn.py
index 09030e9441c89dcc95e2add3de72f4e8383bef0e..6a13e0bb49f27077f0f214895a82ba30339501a4 100644
--- a/python/paddle/fluid/dygraph/nn.py
+++ b/python/paddle/fluid/dygraph/nn.py
@@ -2418,6 +2418,9 @@ class PRelu(layers.Layer):
                                             default_initializer=Constant(1.0))
 
     def forward(self, input):
+        if in_dygraph_mode():
+            return _C_ops.prelu(input, self.weight, "NCHW", self._mode)
+
         check_variable_and_dtype(input, 'input', ['float32'], 'PRelu')
         out = self._helper.create_variable_for_type_inference(self._dtype)
         self._helper.append_op(type="prelu",
diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index cf138cc5a4f05e1904c838e634c62c817baaa6b3..d458e71fc0396ae1bc533a8c272a61ac79f67d0a 100755
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -10259,6 +10259,9 @@ def prelu(x, mode, param_attr=None, data_format="NCHW", name=None):
                                     dtype=dtype,
                                     is_bias=False,
                                     default_initializer=Constant(0.25))
+    if in_dygraph_mode():
+        return _C_ops.prelu(x, alpha, data_format, mode)
+
     out = helper.create_variable_for_type_inference(dtype)
     helper.append_op(type="prelu",
                      inputs={