diff --git a/python/paddle/v2/fluid/layers/tensor.py b/python/paddle/v2/fluid/layers/tensor.py
index 70d800cc9c60f3cc414da185b54e86bcee00f2ed..e5820d24cd2b34ef53cbb91e2be66efc1b74d315 100644
--- a/python/paddle/v2/fluid/layers/tensor.py
+++ b/python/paddle/v2/fluid/layers/tensor.py
@@ -56,9 +56,28 @@ def concat(input, axis=0):
 
 
 def sums(input, out=None):
-    """
-    This function takes in the input and performs the sum operation on it
-    and returns that as the output.
+    """This function performs the sum operation on the input and returns the
+    result as the output.
+
+    Args:
+        input (Variable|list): The input tensor that has the elements
+                               that need to be summed up.
+
+    Returns:
+        Variable: The tensor type variable that has the sum of input
+                  written to it.
+
+    Examples:
+        .. code-block::python
+
+          tmp = fluid.layers.zeros(shape=[10], dtype='int32')
+          i = fluid.layers.fill_constant(shape=[1], dtype='int64', value=10)
+          a0 = layers.array_read(array=tmp, i=i)
+          i = layers.increment(x=i)
+          a1 = layers.array_read(array=tmp, i=i)
+          mean_a0 = layers.mean(x=a0)
+          mean_a1 = layers.mean(x=a1)
+          a_sum = layers.sums(input=[mean_a0, mean_a1])
     """
     helper = LayerHelper('sum', **locals())
     if out is None:
@@ -99,9 +118,9 @@ def fill_constant(shape, dtype, value, out=None):
     """
     **fill_constant**
 
-    This function creates a tensor of specified *shape* and 
+    This function creates a tensor of specified *shape* and
     *dtype*, and initializes this with a constant supplied in *value*.
-    
+
     It also sets *stop_gradient* to True.
 
     Args:
@@ -141,9 +160,9 @@ def fill_constant_batch_size_like(input,
     """
     **fill_constant_batch_size_like**
 
-    This function creates a tensor of specified *shape*, *dtype* and batch size, 
-    and initializes this with a constant supplied in *value*. The batch size is 
-    obtained from the `input` tensor. 
+    This function creates a tensor of specified *shape*, *dtype* and batch size,
+    and initializes this with a constant supplied in *value*. The batch size is
+    obtained from the `input` tensor.
 
     It also sets *stop_gradient* to True.