diff --git a/python/paddle/trainer/config_parser.py b/python/paddle/trainer/config_parser.py
index c24af47c4ba314cd68fbaa98c635dea5a90b3c20..261e834e11846fcf93d8c7613993799de004d276 100644
--- a/python/paddle/trainer/config_parser.py
+++ b/python/paddle/trainer/config_parser.py
@@ -3176,7 +3176,7 @@ class RecurrentLayerGroup(LayerBase):
 
 @config_layer('pixel_softmax')
 class PixelSoftmaxLayer(LayerBase):
-    def __init__(self, input, name, **xargs):
+    def __init__(self, name, inputs, **xargs):
         super(PixelSoftmaxLayer, self).__init__(
             name, 'pixel_softmax', 0, inputs=inputs, **xargs)
 
diff --git a/python/paddle/trainer_config_helpers/layers.py b/python/paddle/trainer_config_helpers/layers.py
index d8cc52d4098acb06748e4b3532dfa4b9c6b61cf4..2f8b0d1002453a118e858b28a841a7ed0047567f 100755
--- a/python/paddle/trainer_config_helpers/layers.py
+++ b/python/paddle/trainer_config_helpers/layers.py
@@ -126,6 +126,7 @@ __all__ = [
     'row_conv_layer',
     'dropout_layer',
     'prelu_layer',
+    'pixel_softmax_layer',
 ]
 
 
@@ -5905,8 +5906,8 @@ def pixel_softmax_layer(input, name=None, layer_attr=None):
     else:
         assert isinstance(input, collections.Sequence)
     l = Layer(
-        inputs=[x.name for x in input],
         name=name,
+        inputs=[x.name for x in input],
         type=LayerType.PIXEL_SOFTMAX_LAYER,
         **ExtraLayerAttribute.to_kwargs(layer_attr))
     return LayerOutput(