diff --git a/python/paddle/fluid/layers/loss.py b/python/paddle/fluid/layers/loss.py
index 805c8f81688ecf7feebe07ef4848a189ecb114d6..4217a98798ebbb46cb5b84e4c15fea4b4f0840ac 100644
--- a/python/paddle/fluid/layers/loss.py
+++ b/python/paddle/fluid/layers/loss.py
@@ -725,7 +725,7 @@ def nce(input,
 
             window_size = 5
             words = []
-            for i in xrange(window_size):
+            for i in range(window_size):
                 words.append(fluid.data(
                     name='word_{0}'.format(i), shape=[-1, 1], dtype='int64'))
 
@@ -733,7 +733,7 @@ def nce(input,
             label_word = int(window_size / 2) + 1
 
             embs = []
-            for i in xrange(window_size):
+            for i in range(window_size):
                 if i == label_word:
                     continue
 
@@ -746,14 +746,14 @@ def nce(input,
                       num_total_classes=dict_size, param_attr='nce.w_0',
                       bias_attr='nce.b_0')
 
-             #or use custom distribution
-             dist = np.array([0.05,0.5,0.1,0.3,0.05])
-             loss = fluid.layers.nce(input=embs, label=words[label_word],
-                       num_total_classes=5, param_attr='nce.w_1',
-                       bias_attr='nce.b_1',
-                       num_neg_samples=3,
-                       sampler="custom_dist",
-                       custom_dist=dist)
+            #or use custom distribution
+            dist = np.array([0.05,0.5,0.1,0.3,0.05])
+            loss = fluid.layers.nce(input=embs, label=words[label_word],
+                    num_total_classes=5, param_attr='nce.w_1',
+                    bias_attr='nce.b_1',
+                    num_neg_samples=3,
+                    sampler="custom_dist",
+                    custom_dist=dist)
     """
     helper = LayerHelper('nce', **locals())
     check_variable_and_dtype(input, 'input', ['float32', 'float64'], 'nce')