diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec
index 4ab89a7105bf4b..6bfb42fca1f386 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 b9f0dcc134b648..c6aa0a16a763f5 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -5295,7 +5295,7 @@ 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.
@@ -5331,9 +5331,28 @@ 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())