diff --git a/doc/fluid/api_cn/fluid_cn/gradients_cn.rst b/doc/fluid/api_cn/fluid_cn/gradients_cn.rst
index 7e2e7d4fd635de3332aea4f293951567dd66c79c..b38f2747aafb9d258a49eaca315afa03cc747d56 100644
--- a/doc/fluid/api_cn/fluid_cn/gradients_cn.rst
+++ b/doc/fluid/api_cn/fluid_cn/gradients_cn.rst
@@ -26,7 +26,7 @@ gradients
 
             import paddle.fluid as fluid
 
-            x = fluid.layers.data(name='x', shape=[2,8,8], dtype='float32')
+            x = fluid.data(name='x', shape=[None,2,8,8], dtype='float32')
             x.stop_gradient=False
             y = fluid.layers.conv2d(x, 4, 1, bias_attr=False)
             y = fluid.layers.relu(y)
diff --git a/doc/fluid/api_cn/fluid_cn/program_guard_cn.rst b/doc/fluid/api_cn/fluid_cn/program_guard_cn.rst
index 83c53aeab3e1791ca5f99fa1db623a24e465acdd..a7f6f9dba999214aa956bf2c3e6847837179e6e2 100644
--- a/doc/fluid/api_cn/fluid_cn/program_guard_cn.rst
+++ b/doc/fluid/api_cn/fluid_cn/program_guard_cn.rst
@@ -23,7 +23,7 @@ program_guard
     main_program = fluid.Program()
     startup_program = fluid.Program()
     with fluid.program_guard(main_program, startup_program):
-        data = fluid.layers.data(name='image', shape=[784, 784], dtype='float32')
+        data = fluid.data(name='image', shape=[None, 784, 784], dtype='float32')
         hidden = fluid.layers.fc(input=data, size=10, act='relu')
 
 例如，当组的网不需要startup_program初始化各变量时，可以传入一个临时的program。
@@ -36,5 +36,5 @@ program_guard
     main_program = fluid.Program()
     # 如果您不需要关心startup program,传入一个临时值即可
     with fluid.program_guard(main_program, fluid.Program()):
-        data = fluid.layers.data(name='image', shape=[784, 784], dtype='float32')
+        data = fluid.data(name='image', shape=[None, 784, 784], dtype='float32')