diff --git a/python/paddle/fluid/data.py b/python/paddle/fluid/data.py
index 2c75c493cba02dc21a5e2518a8a5e52b6eb4fd81..20ab401727c42bdc4c5733df7336ceb1b6f097a1 100644
--- a/python/paddle/fluid/data.py
+++ b/python/paddle/fluid/data.py
@@ -24,11 +24,6 @@ __all__ = ['data']
 
 def data(name, shape, dtype='float32', lod_level=0):
     """
-    :api_attr: Static Graph
-	:alias_main: paddle.nn.data
-	:alias: paddle.nn.data,paddle.nn.input.data
-	:old_api: paddle.fluid.data
-
     **Data Layer**
 
     This function creates a variable on the global block. The global variable
@@ -52,7 +47,7 @@ def data(name, shape, dtype='float32', lod_level=0):
 
         The default :code:`stop_gradient` attribute of the Variable created by
         this API is true, which means the gradient won't be passed backward
-        through the data Varaible. Set :code:`var.stop_gradient = False` If
+        through the data Variable. Set :code:`var.stop_gradient = False` If
         user would like to pass backward gradient.
 
     Args:
@@ -88,7 +83,7 @@ def data(name, shape, dtype='float32', lod_level=0):
 
           z = x + y
 
-          # In this example, we will feed x and y with np-ndarry "1"
+          # In this example, we will feed x and y with np-ndarray "1"
           # and fetch z, like implementing "1 + 1 = 2" in PaddlePaddle
           feed_data = np.ones(shape=[3, 2, 1], dtype=np.float32)
 
diff --git a/python/paddle/fluid/tests/unittests/test_erf_op.py b/python/paddle/fluid/tests/unittests/test_erf_op.py
index b83436fae01e6778a126cb327b2cd5d9cfef29bb..964e704c6a2ccbdc96fc281f6e417caf8351cdf7 100644
--- a/python/paddle/fluid/tests/unittests/test_erf_op.py
+++ b/python/paddle/fluid/tests/unittests/test_erf_op.py
@@ -61,7 +61,7 @@ class TestErfLayer(unittest.TestCase):
 
     def test_name(self):
         with fluid.program_guard(fluid.Program()):
-            x = paddle.nn.data('x', [3, 4])
+            x = paddle.static.data('x', [3, 4])
             y = paddle.erf(x, name='erf')
             self.assertTrue('erf' in y.name)