diff --git a/python/paddle/trainer/config_parser.py b/python/paddle/trainer/config_parser.py
index 54245ff03e2029bb2f1208ae9126ad65d40c5e83..43b83b48239974f801d6901d2c3ccbcd08eb13b7 100644
--- a/python/paddle/trainer/config_parser.py
+++ b/python/paddle/trainer/config_parser.py
@@ -2048,6 +2048,7 @@ class ParameterReluLayer(LayerBase):
     def __init__(self, name, inputs, partial_sum=1, **args):
         super(ParameterReluLayer, self).__init__(
             name, self.layer_type, 0, inputs=inputs, **args)
+
         input_layer = self.get_input_layer(0)
         config_assert(len(self.inputs) == 1, "prelu layer has only one input.")
         config_assert(input_layer.size % partial_sum == 0,
diff --git a/python/paddle/trainer_config_helpers/layers.py b/python/paddle/trainer_config_helpers/layers.py
index ccd9a728cf2c2781132f7a5884415c104176e887..5ace7598dc6bc9119b8fad947588a56c6de48e97 100644
--- a/python/paddle/trainer_config_helpers/layers.py
+++ b/python/paddle/trainer_config_helpers/layers.py
@@ -6442,9 +6442,9 @@ def prelu_layer(input,
     """
 
     assert isinstance(input, LayerOutput), 'prelu_layer accepts only one input.'
+
     if not param_attr:
-        param_attr = ParamAttr(initial_mean=0.25,
-                               initial_std=0.0)
+        param_attr = ParamAttr(initial_mean=0.25, initial_std=0.0)
     else:
         assert isinstance(param_attr, ParameterAttribute)
 
@@ -6469,7 +6469,7 @@ def prelu_layer(input,
         name=name,
         layer_type=LayerType.PRELU,
         parents=input,
-        num_filters = num_channels,
+        num_filters=num_channels,
         size=l.config.size)