diff --git a/doc/api/v2/config/layer.rst b/doc/api/v2/config/layer.rst
index 46f81bf9a2d92154e1f90201ac0730fcb5a378d3..65d4c472c35f0fe726c32e4745b7352b2fc87d4d 100644
--- a/doc/api/v2/config/layer.rst
+++ b/doc/api/v2/config/layer.rst
@@ -443,7 +443,7 @@ eos
     :noindex:
 
 Activation with learnable parameter
-===================
+===================================
 
 prelu
 --------
diff --git a/python/paddle/trainer_config_helpers/layers.py b/python/paddle/trainer_config_helpers/layers.py
index 8044c7aa92a94f130863c8e349762e2d0d7799ac..bb58135084df5dfc76aec1e6d790e29ab0c10a88 100755
--- a/python/paddle/trainer_config_helpers/layers.py
+++ b/python/paddle/trainer_config_helpers/layers.py
@@ -5595,24 +5595,13 @@ def prelu_layer(input,
     :rtype: LayerOutput
     """
 
-    if isinstance(input, collections.Sequence):
-        assert len(input) == 1, 'prelu_layer only accepts one input'
-    else:
-        input = [input]
-    assert isinstance(input[0], LayerOutput)
-
-    if isinstance(param_attr, collections.Sequence):
-        assert len(param_attr) == 1, (
-            'because prelu_layer only accepts one input '
-            'it requires only one parameter setting.')
-    else:
-        param_attr = [param_attr]
-    assert isinstance(param_attr[0], ParameterAttribute)
+    assert isinstance(input, LayerOutput), 'prelu_layer only accepts one input'
+    assert isinstance(param_attr, ParameterAttribute)
 
     l = Layer(
         name=name,
         type='prelu',
-        inputs=Input(input[0].name, **param_attr[0].attr),
+        inputs=Input(input.name, **param_attr.attr),
         partial_sum=partial_sum,
         **ExtraLayerAttribute.to_kwargs(layer_attr))
     return LayerOutput(