diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec
index 6832a2f852626d98d1550d5828cae50bed7b6ce1..569baeca88183929b9842f9c7759c6cf5480b403 100644
--- a/paddle/fluid/API.spec
+++ b/paddle/fluid/API.spec
@@ -266,7 +266,7 @@ paddle.fluid.layers.has_inf (ArgSpec(args=['x'], varargs=None, keywords=None, de
 paddle.fluid.layers.has_nan (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '2e53e83127dbfd86e7098bdfe9a549e8'))
 paddle.fluid.layers.isfinite (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '0a437011c3906079fd8947ed3e52d292'))
 paddle.fluid.layers.range (ArgSpec(args=['start', 'end', 'step', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', '2ec937ede953ded2fdff2675883900bb'))
-paddle.fluid.layers.zeros_like (ArgSpec(args=['x', 'out'], varargs=None, keywords=None, defaults=(None,)), ('document', '4516005c2efb5f1b0adb4d0bac231408'))
+paddle.fluid.layers.zeros_like (ArgSpec(args=['x', 'out'], varargs=None, keywords=None, defaults=(None,)), ('document', 'c7e4cfffc93ae89c8f6f53b6d650f923'))
 paddle.fluid.layers.While.__init__ (ArgSpec(args=['self', 'cond', 'is_test', 'name'], varargs=None, keywords=None, defaults=(False, None)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
 paddle.fluid.layers.While.block (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
 paddle.fluid.layers.Switch.__init__ (ArgSpec(args=['self', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
diff --git a/python/paddle/fluid/layers/tensor.py b/python/paddle/fluid/layers/tensor.py
index a113233ff0e4d6e8e74a3cdd0b46e5ed0a59c718..152ad9b5b71122f8fbf736eff8243f6a4ce4c33d 100644
--- a/python/paddle/fluid/layers/tensor.py
+++ b/python/paddle/fluid/layers/tensor.py
@@ -847,7 +847,9 @@ def zeros_like(x, out=None):
     Examples:
         .. code-block:: python
 
-          data = fluid.layers.zeros_like(x)
+          x = fluid.layers.data(name='x', dtype='float32', shape=[3], append_batch_size=False)
+          data = fluid.layers.zeros_like(x) # [0.0, 0.0, 0.0]
+
     """
 
     helper = LayerHelper("zeros_like", **locals())