diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec
index 02c84697a47499c06501859e98dd03407d38fd3f..3ee4f045e36835dc6a0c3aa08b38f172daa0a7be 100644
--- a/paddle/fluid/API.spec
+++ b/paddle/fluid/API.spec
@@ -117,7 +117,7 @@ paddle.fluid.layers.sequence_slice (ArgSpec(args=['input', 'offset', 'length', '
 paddle.fluid.layers.dropout (ArgSpec(args=['x', 'dropout_prob', 'is_test', 'seed', 'name', 'dropout_implementation'], varargs=None, keywords=None, defaults=(False, None, None, 'downgrade_in_infer')), ('document', 'f1dd22f7351f7f9853212958e0d8aa7a'))
 paddle.fluid.layers.split (ArgSpec(args=['input', 'num_or_sections', 'dim', 'name'], varargs=None, keywords=None, defaults=(-1, None)), ('document', '59b28903ce8fb6a7e3861ff355592eb4'))
 paddle.fluid.layers.ctc_greedy_decoder (ArgSpec(args=['input', 'blank', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '2bc3a59efa9d52b628a6255422d9f0e8'))
-paddle.fluid.layers.edit_distance (ArgSpec(args=['input', 'label', 'normalized', 'ignored_tokens'], varargs=None, keywords=None, defaults=(True, None)), ('document', '97f0262f97602644c83142789d784571'))
+paddle.fluid.layers.edit_distance (ArgSpec(args=['input', 'label', 'normalized', 'ignored_tokens'], varargs=None, keywords=None, defaults=(True, None)), ('document', 'f2c252aa2f83f8e503ffaf79668eaa28'))
 paddle.fluid.layers.l2_normalize (ArgSpec(args=['x', 'axis', 'epsilon', 'name'], varargs=None, keywords=None, defaults=(1e-12, None)), ('document', '35c6a241bcc1a1fc89508860d82ad62b'))
 paddle.fluid.layers.matmul (ArgSpec(args=['x', 'y', 'transpose_x', 'transpose_y', 'alpha', 'name'], varargs=None, keywords=None, defaults=(False, False, 1.0, None)), ('document', 'aa27ca4405e70c6a733cb9806a76af30'))
 paddle.fluid.layers.topk (ArgSpec(args=['input', 'k', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '2a1e9ea041ff4d6a9948bb8d03b743ea'))
diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index b0777217cf9c5aefc040d2e1d02b2366b0e039d3..9c947cce54306813953bdb10dddf0004dbd5804d 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -5297,7 +5297,7 @@ def topk(input, k, name=None):
 
 def edit_distance(input, label, normalized=True, ignored_tokens=None):
     """
-    EditDistance operator computes the edit distances between a batch of
+    Edit distance operator computes the edit distances between a batch of
     hypothesis strings and their references. Edit distance, also called
     Levenshtein distance, measures how dissimilar two strings are by counting
     the minimum number of operations to transform one string into anthor.
@@ -5333,9 +5333,28 @@ def edit_distance(input, label, normalized=True, ignored_tokens=None):
     Examples:
         .. code-block:: python
 
-            x = fluid.layers.data(name='x', shape=[1], dtype='float32')
-            y = fluid.layers.data(name='y', shape=[1], dtype='float32')
-            cost = fluid.layers.edit_distance(input=x,label=y)
+            import paddle.fluid as fluid
+            x = fluid.layers.data(name='x', shape=[1], dtype='int64')
+            y = fluid.layers.data(name='y', shape=[1], dtype='int64')
+            cost, _ = fluid.layers.edit_distance(input=x, label=y)
+
+            cpu = fluid.core.CPUPlace()
+            exe = fluid.Executor(cpu)
+            exe.run(fluid.default_startup_program())
+
+            import numpy
+            x_ = numpy.random.randint(5, size=(2, 1)).astype('int64')
+            y_ = numpy.random.randint(5, size=(2, 1)).astype('int64')
+
+            print(x_)
+            print(y_)
+
+            x = fluid.create_lod_tensor(x_, [[2]], cpu)
+            y = fluid.create_lod_tensor(y_, [[2]], cpu)
+
+            outs = exe.run(feed={'x':x, 'y':y}, fetch_list=[cost.name])
+
+            print(outs)
     """
     helper = LayerHelper("edit_distance", **locals())