diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec
index 99f763f31586da3407f344cb41f06f8e057065f0..73788f93596eddea3d80b1b57e8ed98856f2e0a8 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 a5dd8a6f084cd3d0b9544f5c28ef175a4cdab02f..9bc4099613983d3225e1bd204c06634c99602424 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())